title: P15_GI1_P006 [scRNA-seq]


title: P17_GI1_P006 [scRNA-seq]

status: Public on Feb 17 2022

type: SRA

city: Huddinge

first: Jenny

last: Mjösberg

state: Stockholm

address: Alfred Nobels allé 8

department: Department of Medicine

country: Sweden

institute: Karolinska Institutet

description:
#1 Inflamed
Gene_Raw_Count_Single_Cell_RNA-seq_Smart-seq2.txt

library_source: transcriptomic

data_processing:
Pair-end reads were trimmed for low quality bases and removal of low-quality reads using ReadTools
Trimmed reads were mapped to the Homo sapiens genome (GRCh37.87 assembly) using STAR (v2.5.3a) mapper
The reads mapped in multiple genomic locations were eliminated by using Samtools (v1.4)
Read counts for features (exons) were generated using the featureCounts function from the Subread package (v 1.5.3)
Smart-seq2 single cell data downstream analysis were perfored using R package Seurat v3.2.3.
Genome_build: hg19
Supplementary_files_format_and_content: Raw gene count matrix was generated using featureCounts function from the Subread package (v 1.5.3) with Ensembl Known Gene models (version GRCh37.87) as reference annotations

molecule: total RNA

organism: Homo sapiens

source_name: large intestine

extract_protocol:
Non-inflamed biopsies from the large intestine were obtained from three tumor- screening patients and inflamed biopsies from the large intestine were obtained from three Crohn’s disease patients. Briefly, eight punch-biopsies per patients were collected and transported in wash buffer, consisting of Hank’s Balanced Salt Solution (HBSS) supplemented with antibiotics, fungizone and HEPES. Samples were processed within 1 h of biopsy retrieval. Wash buffer was removed and biopsies were enzymatically digested while stirring. The filtered cell suspension was washed by centrifugation and the total cell pellet was used for staining with fluorescence-labeled antibodies for FACS.
Samples were prepared using the SMART-Seq2 platform according to manufacturer’s instructions.

tag: diagnosis

value: Crohn's disease

tag: endoscopic inflammation status

value: inflamed

tag: sampling location

value: large intestine

tag: age (y)


title: P22_GI1_P006 [scRNA-seq]


title: P20_GI1_P006 [scRNA-seq]


title: P21_GI1_P006 [scRNA-seq]


title: P16_GI1_P006 [scRNA-seq]


title: B14_GI1_P009 [scRNA-seq]


title: P19_GI1_P006 [scRNA-seq]


title: C15_GI1_P009 [scRNA-seq]


title: O20_GI1_P006 [scRNA-seq]


title: O22_GI1_P006 [scRNA-seq]


title: O18_GI1_P006 [scRNA-seq]


title: O23_GI1_P006 [scRNA-seq]


title: O24_GI1_P006 [scRNA-seq]


title: O19_GI1_P006 [scRNA-seq]


title: O16_GI1_P006 [scRNA-seq]


title: O17_GI1_P006 [scRNA-seq]


title: O15_GI1_P006 [scRNA-seq]


title: N14_GI1_P006 [scRNA-seq]


title: O13_GI1_P006 [scRNA-seq]


title: N15_GI1_P006 [scRNA-seq]


title: O14_GI1_P006 [scRNA-seq]


title: N23_GI1_P006 [scRNA-seq]


title: M22_GI1_P006 [scRNA-seq]


title: N13_GI1_P006 [scRNA-seq]


title: M24_GI1_P006 [scRNA-seq]


title: M23_GI1_P006 [scRNA-seq]


title: M20_GI1_P006 [scRNA-seq]


title: N24_GI1_P006 [scRNA-seq]


title: M15_GI1_P006 [scRNA-seq]


title: M17_GI1_P006 [scRNA-seq]


title: L13_GI1_P006 [scRNA-seq]


title: M13_GI1_P006 [scRNA-seq]


title: M14_GI1_P006 [scRNA-seq]


title: L14_GI1_P006 [scRNA-seq]


title: O21_GI1_P006 [scRNA-seq]


title: L16_GI1_P006 [scRNA-seq]


title: L15_GI1_P006 [scRNA-seq]


title: L17_GI1_P006 [scRNA-seq]


title: N16_GI1_P006 [scRNA-seq]


title: L20_GI1_P006 [scRNA-seq]


title: L19_GI1_P006 [scRNA-seq]


title: L18_GI1_P006 [scRNA-seq]


title: N19_GI1_P006 [scRNA-seq]


title: L24_GI1_P006 [scRNA-seq]


title: L22_GI1_P006 [scRNA-seq]


title: K24_GI1_P006 [scRNA-seq]


title: K23_GI1_P006 [scRNA-seq]


title: K18_GI1_P006 [scRNA-seq]


title: K19_GI1_P006 [scRNA-seq]


title: K21_GI1_P006 [scRNA-seq]


title: K17_GI1_P006 [scRNA-seq]


title: J13_GI1_P006 [scRNA-seq]


title: K16_GI1_P006 [scRNA-seq]


title: K15_GI1_P006 [scRNA-seq]


title: K20_GI1_P006 [scRNA-seq]


title: K14_GI1_P006 [scRNA-seq]


title: J16_GI1_P006 [scRNA-seq]


title: J15_GI1_P006 [scRNA-seq]


title: J17_GI1_P006 [scRNA-seq]


title: J19_GI1_P006 [scRNA-seq]


title: J21_GI1_P006 [scRNA-seq]


title: J20_GI1_P006 [scRNA-seq]


title: J18_GI1_P006 [scRNA-seq]


title: J22_GI1_P006 [scRNA-seq]


title: I23_GI1_P006 [scRNA-seq]


title: M19_GI1_P006 [scRNA-seq]


title: I22_GI1_P006 [scRNA-seq]


title: I21_GI1_P006 [scRNA-seq]


title: I15_GI1_P006 [scRNA-seq]


title: I17_GI1_P006 [scRNA-seq]


title: I18_GI1_P006 [scRNA-seq]


title: I14_GI1_P006 [scRNA-seq]


title: I13_GI1_P006 [scRNA-seq]


title: H13_GI1_P006 [scRNA-seq]


title: H15_GI1_P006 [scRNA-seq]


title: H16_GI1_P006 [scRNA-seq]


title: H18_GI1_P006 [scRNA-seq]


title: H14_GI1_P006 [scRNA-seq]


title: H19_GI1_P006 [scRNA-seq]


title: G23_GI1_P006 [scRNA-seq]


title: H24_GI1_P006 [scRNA-seq]


title: G21_GI1_P006 [scRNA-seq]


title: G22_GI1_P006 [scRNA-seq]


title: G17_GI1_P006 [scRNA-seq]


title: G15_GI1_P006 [scRNA-seq]


title: G18_GI1_P006 [scRNA-seq]


title: H20_GI1_P006 [scRNA-seq]


title: G19_GI1_P006 [scRNA-seq]


title: G16_GI1_P006 [scRNA-seq]


title: J24_GI1_P006 [scRNA-seq]


title: I20_GI1_P006 [scRNA-seq]


title: F14_GI1_P006 [scRNA-seq]


title: G14_GI1_P006 [scRNA-seq]


title: F15_GI1_P006 [scRNA-seq]


title: G20_GI1_P006 [scRNA-seq]


title: F13_GI1_P006 [scRNA-seq]


title: F16_GI1_P006 [scRNA-seq]


title: F21_GI1_P006 [scRNA-seq]


title: F17_GI1_P006 [scRNA-seq]


title: F20_GI1_P006 [scRNA-seq]


title: F19_GI1_P006 [scRNA-seq]


title: F24_GI1_P006 [scRNA-seq]


title: H23_GI1_P006 [scRNA-seq]


title: E24_GI1_P006 [scRNA-seq]


title: H17_GI1_P006 [scRNA-seq]


title: E22_GI1_P006 [scRNA-seq]


title: E18_GI1_P006 [scRNA-seq]


title: E14_GI1_P006 [scRNA-seq]


title: E13_GI1_P006 [scRNA-seq]


title: E16_GI1_P006 [scRNA-seq]


title: D16_GI1_P006 [scRNA-seq]


title: D17_GI1_P006 [scRNA-seq]


title: D14_GI1_P006 [scRNA-seq]


title: D18_GI1_P006 [scRNA-seq]


title: E15_GI1_P006 [scRNA-seq]


title: D20_GI1_P006 [scRNA-seq]


title: F22_GI1_P006 [scRNA-seq]


title: F23_GI1_P006 [scRNA-seq]


title: D23_GI1_P006 [scRNA-seq]


title: C24_GI1_P006 [scRNA-seq]


title: C23_GI1_P006 [scRNA-seq]


title: D21_GI1_P006 [scRNA-seq]


title: D19_GI1_P006 [scRNA-seq]


title: C18_GI1_P006 [scRNA-seq]


title: C16_GI1_P006 [scRNA-seq]


title: C22_GI1_P006 [scRNA-seq]


title: C20_GI1_P006 [scRNA-seq]


title: C21_GI1_P006 [scRNA-seq]


title: E23_GI1_P006 [scRNA-seq]


title: C14_GI1_P006 [scRNA-seq]


title: E19_GI1_P006 [scRNA-seq]


title: C13_GI1_P006 [scRNA-seq]


title: B17_GI1_P006 [scRNA-seq]


title: B16_GI1_P006 [scRNA-seq]


title: D15_GI1_P006 [scRNA-seq]


title: B18_GI1_P006 [scRNA-seq]


title: B19_GI1_P006 [scRNA-seq]


title: B22_GI1_P006 [scRNA-seq]


title: B20_GI1_P006 [scRNA-seq]


title: B24_GI1_P006 [scRNA-seq]


title: B23_GI1_P006 [scRNA-seq]


title: B21_GI1_P006 [scRNA-seq]


title: A23_GI1_P006 [scRNA-seq]


title: A20_GI1_P006 [scRNA-seq]


title: C19_GI1_P006 [scRNA-seq]


title: A18_GI1_P006 [scRNA-seq]


title: A19_GI1_P006 [scRNA-seq]


title: P13_GI2_P400 [scRNA-seq]

description:
#2  Inflamed
Gene_Raw_Count_Single_Cell_RNA-seq_Smart-seq2.txt


title: A17_GI1_P006 [scRNA-seq]


title: P14_GI2_P400 [scRNA-seq]


title: A15_GI1_P006 [scRNA-seq]


title: P18_GI2_P400 [scRNA-seq]


title: A13_GI1_P006 [scRNA-seq]


title: A16_GI1_P006 [scRNA-seq]


title: P17_GI2_P400 [scRNA-seq]


title: P15_GI2_P400 [scRNA-seq]


title: P22_GI2_P400 [scRNA-seq]


title: A22_GI1_P006 [scRNA-seq]


title: O24_GI2_P400 [scRNA-seq]


title: O23_GI2_P400 [scRNA-seq]


title: P21_GI2_P400 [scRNA-seq]


title: O21_GI2_P400 [scRNA-seq]


title: P16_GI2_P400 [scRNA-seq]


title: O19_GI2_P400 [scRNA-seq]


title: O22_GI2_P400 [scRNA-seq]


title: O18_GI2_P400 [scRNA-seq]


title: O17_GI2_P400 [scRNA-seq]


title: O16_GI2_P400 [scRNA-seq]


title: O15_GI2_P400 [scRNA-seq]


title: O13_GI2_P400 [scRNA-seq]


title: P19_GI2_P400 [scRNA-seq]


title: N13_GI2_P400 [scRNA-seq]


title: N19_GI2_P400 [scRNA-seq]


title: N17_GI2_P400 [scRNA-seq]


title: N18_GI2_P400 [scRNA-seq]


title: N20_GI2_P400 [scRNA-seq]


title: M21_GI2_P400 [scRNA-seq]


title: M22_GI2_P400 [scRNA-seq]


title: M19_GI2_P400 [scRNA-seq]


title: N21_GI2_P400 [scRNA-seq]


title: M18_GI2_P400 [scRNA-seq]


title: O20_GI2_P400 [scRNA-seq]


title: M23_GI2_P400 [scRNA-seq]


title: N24_GI2_P400 [scRNA-seq]


title: M15_GI2_P400 [scRNA-seq]


title: L14_GI2_P400 [scRNA-seq]


title: L16_GI2_P400 [scRNA-seq]


title: M16_GI2_P400 [scRNA-seq]


title: M17_GI2_P400 [scRNA-seq]


title: L17_GI2_P400 [scRNA-seq]


title: L13_GI2_P400 [scRNA-seq]


title: N16_GI2_P400 [scRNA-seq]


title: L22_GI2_P400 [scRNA-seq]


title: L20_GI2_P400 [scRNA-seq]


title: L24_GI2_P400 [scRNA-seq]


title: L23_GI2_P400 [scRNA-seq]


title: L19_GI2_P400 [scRNA-seq]


title: K24_GI2_P400 [scRNA-seq]


title: K23_GI2_P400 [scRNA-seq]


title: L18_GI2_P400 [scRNA-seq]


title: K21_GI2_P400 [scRNA-seq]


title: K20_GI2_P400 [scRNA-seq]


title: M14_GI2_P400 [scRNA-seq]


title: M13_GI2_P400 [scRNA-seq]


title: K16_GI2_P400 [scRNA-seq]


title: K15_GI2_P400 [scRNA-seq]


title: K13_GI2_P400 [scRNA-seq]


title: K19_GI2_P400 [scRNA-seq]


title: K14_GI2_P400 [scRNA-seq]


title: L15_GI2_P400 [scRNA-seq]


title: J13_GI2_P400 [scRNA-seq]


title: K17_GI2_P400 [scRNA-seq]


title: J23_GI2_P400 [scRNA-seq]


title: J20_GI2_P400 [scRNA-seq]


title: J21_GI2_P400 [scRNA-seq]


title: J22_GI2_P400 [scRNA-seq]


title: J24_GI2_P400 [scRNA-seq]


title: J15_GI2_P400 [scRNA-seq]


title: I23_GI2_P400 [scRNA-seq]


title: I21_GI2_P400 [scRNA-seq]


title: I16_GI2_P400 [scRNA-seq]


title: I17_GI2_P400 [scRNA-seq]


title: I15_GI2_P400 [scRNA-seq]


title: I14_GI2_P400 [scRNA-seq]


title: K18_GI2_P400 [scRNA-seq]


title: I22_GI2_P400 [scRNA-seq]


title: H13_GI2_P400 [scRNA-seq]


title: I13_GI2_P400 [scRNA-seq]


title: H14_GI2_P400 [scRNA-seq]


title: J17_GI2_P400 [scRNA-seq]


title: H15_GI2_P400 [scRNA-seq]


title: I18_GI2_P400 [scRNA-seq]


title: H17_GI2_P400 [scRNA-seq]


title: J14_GI2_P400 [scRNA-seq]


title: H18_GI2_P400 [scRNA-seq]


title: H16_GI2_P400 [scRNA-seq]


title: H22_GI2_P400 [scRNA-seq]


title: H20_GI2_P400 [scRNA-seq]


title: H23_GI2_P400 [scRNA-seq]


title: G23_GI2_P400 [scRNA-seq]


title: G20_GI2_P400 [scRNA-seq]


title: G21_GI2_P400 [scRNA-seq]


title: G22_GI2_P400 [scRNA-seq]


title: H24_GI2_P400 [scRNA-seq]


title: G24_GI2_P400 [scRNA-seq]


title: I20_GI2_P400 [scRNA-seq]


title: G19_GI2_P400 [scRNA-seq]


title: G18_GI2_P400 [scRNA-seq]


title: G16_GI2_P400 [scRNA-seq]


title: G17_GI2_P400 [scRNA-seq]


title: G14_GI2_P400 [scRNA-seq]


title: F13_GI2_P400 [scRNA-seq]


title: G15_GI2_P400 [scRNA-seq]


title: F17_GI2_P400 [scRNA-seq]


title: F18_GI2_P400 [scRNA-seq]


title: F15_GI2_P400 [scRNA-seq]


title: F20_GI2_P400 [scRNA-seq]


title: F19_GI2_P400 [scRNA-seq]


title: F23_GI2_P400 [scRNA-seq]


title: F21_GI2_P400 [scRNA-seq]


title: E24_GI2_P400 [scRNA-seq]


title: F24_GI2_P400 [scRNA-seq]


title: E23_GI2_P400 [scRNA-seq]


title: E20_GI2_P400 [scRNA-seq]


title: E19_GI2_P400 [scRNA-seq]


title: E15_GI2_P400 [scRNA-seq]


title: D14_GI2_P400 [scRNA-seq]


title: E13_GI2_P400 [scRNA-seq]


title: E16_GI2_P400 [scRNA-seq]


title: D13_GI2_P400 [scRNA-seq]


title: E18_GI2_P400 [scRNA-seq]


title: E17_GI2_P400 [scRNA-seq]


title: D15_GI2_P400 [scRNA-seq]


title: D17_GI2_P400 [scRNA-seq]


title: D18_GI2_P400 [scRNA-seq]


title: D20_GI2_P400 [scRNA-seq]


title: D19_GI2_P400 [scRNA-seq]


title: D21_GI2_P400 [scRNA-seq]


title: D23_GI2_P400 [scRNA-seq]


title: D22_GI2_P400 [scRNA-seq]


title: D24_GI2_P400 [scRNA-seq]


title: C24_GI2_P400 [scRNA-seq]


title: C23_GI2_P400 [scRNA-seq]


title: C22_GI2_P400 [scRNA-seq]


title: E22_GI2_P400 [scRNA-seq]


title: C21_GI2_P400 [scRNA-seq]


title: C20_GI2_P400 [scRNA-seq]


title: E21_GI2_P400 [scRNA-seq]


title: C19_GI2_P400 [scRNA-seq]


title: C18_GI2_P400 [scRNA-seq]


title: E14_GI2_P400 [scRNA-seq]


title: C16_GI2_P400 [scRNA-seq]


title: C15_GI2_P400 [scRNA-seq]


title: D16_GI2_P400 [scRNA-seq]


title: B15_GI2_P400 [scRNA-seq]


title: B18_GI2_P400 [scRNA-seq]


title: B19_GI2_P400 [scRNA-seq]


title: B22_GI2_P400 [scRNA-seq]


title: B14_GI2_P400 [scRNA-seq]


title: B21_GI2_P400 [scRNA-seq]


title: C14_GI2_P400 [scRNA-seq]


title: B24_GI2_P400 [scRNA-seq]


title: A24_GI2_P400 [scRNA-seq]


title: A21_GI2_P400 [scRNA-seq]


title: A18_GI2_P400 [scRNA-seq]


title: A19_GI2_P400 [scRNA-seq]


title: A13_GI2_P400 [scRNA-seq]


title: A16_GI2_P400 [scRNA-seq]


title: A15_GI2_P400 [scRNA-seq]


title: P13_GI2_P040 [scRNA-seq]


title: A14_GI2_P400 [scRNA-seq]


title: A17_GI2_P400 [scRNA-seq]


title: P15_GI2_P040 [scRNA-seq]


title: P16_GI2_P040 [scRNA-seq]


title: P14_GI2_P040 [scRNA-seq]


title: B17_GI2_P400 [scRNA-seq]


title: P17_GI2_P040 [scRNA-seq]


title: B13_GI2_P400 [scRNA-seq]


title: P18_GI2_P040 [scRNA-seq]


title: P19_GI2_P040 [scRNA-seq]


title: P20_GI2_P040 [scRNA-seq]


title: B23_GI2_P400 [scRNA-seq]


title: O24_GI2_P040 [scRNA-seq]


title: P21_GI2_P040 [scRNA-seq]


title: P22_GI2_P040 [scRNA-seq]


title: A23_GI2_P400 [scRNA-seq]


title: O23_GI2_P040 [scRNA-seq]


title: O22_GI2_P040 [scRNA-seq]


title: C13_GI2_P400 [scRNA-seq]


title: O21_GI2_P040 [scRNA-seq]


title: O19_GI2_P040 [scRNA-seq]


title: O16_GI2_P040 [scRNA-seq]


title: O18_GI2_P040 [scRNA-seq]


title: K22_GI2_P400 [scRNA-seq]


title: O15_GI2_P040 [scRNA-seq]


title: O13_GI2_P040 [scRNA-seq]


title: O17_GI2_P040 [scRNA-seq]


title: N13_GI2_P040 [scRNA-seq]


title: N15_GI2_P040 [scRNA-seq]


title: N17_GI2_P040 [scRNA-seq]


title: N19_GI2_P040 [scRNA-seq]


title: N18_GI2_P040 [scRNA-seq]


title: B20_GI2_P400 [scRNA-seq]


title: N20_GI2_P040 [scRNA-seq]


title: N21_GI2_P040 [scRNA-seq]


title: N23_GI2_P040 [scRNA-seq]


title: N22_GI2_P040 [scRNA-seq]


title: N24_GI2_P040 [scRNA-seq]


title: M23_GI2_P040 [scRNA-seq]


title: M24_GI2_P040 [scRNA-seq]


title: M22_GI2_P040 [scRNA-seq]


title: M19_GI2_P040 [scRNA-seq]


title: M20_GI2_P040 [scRNA-seq]


title: M18_GI2_P040 [scRNA-seq]


title: M21_GI2_P040 [scRNA-seq]


title: M17_GI2_P040 [scRNA-seq]


title: M15_GI2_P040 [scRNA-seq]


title: M13_GI2_P040 [scRNA-seq]


title: M16_GI2_P040 [scRNA-seq]


title: L13_GI2_P040 [scRNA-seq]


title: N14_GI2_P040 [scRNA-seq]


title: L14_GI2_P040 [scRNA-seq]


title: L15_GI2_P040 [scRNA-seq]


title: N16_GI2_P040 [scRNA-seq]


title: L20_GI2_P040 [scRNA-seq]


title: L17_GI2_P040 [scRNA-seq]


title: L19_GI2_P040 [scRNA-seq]


title: K24_GI2_P040 [scRNA-seq]


title: K23_GI2_P040 [scRNA-seq]


title: K20_GI2_P040 [scRNA-seq]


title: K22_GI2_P040 [scRNA-seq]


title: K18_GI2_P040 [scRNA-seq]


title: K17_GI2_P040 [scRNA-seq]


title: K19_GI2_P040 [scRNA-seq]


title: K21_GI2_P040 [scRNA-seq]


title: L18_GI2_P040 [scRNA-seq]


title: K15_GI2_P040 [scRNA-seq]


title: K13_GI2_P040 [scRNA-seq]


title: K14_GI2_P040 [scRNA-seq]


title: J13_GI2_P040 [scRNA-seq]


title: J15_GI2_P040 [scRNA-seq]


title: K16_GI2_P040 [scRNA-seq]


title: J14_GI2_P040 [scRNA-seq]


title: J16_GI2_P040 [scRNA-seq]


title: J19_GI2_P040 [scRNA-seq]


title: J17_GI2_P040 [scRNA-seq]


title: L24_GI2_P040 [scRNA-seq]


title: J20_GI2_P040 [scRNA-seq]


title: I22_GI2_P040 [scRNA-seq]


title: J22_GI2_P040 [scRNA-seq]


title: I21_GI2_P040 [scRNA-seq]


title: J21_GI2_P040 [scRNA-seq]


title: I17_GI2_P040 [scRNA-seq]


title: I20_GI2_P040 [scRNA-seq]


title: I18_GI2_P040 [scRNA-seq]


title: I13_GI2_P040 [scRNA-seq]


title: H13_GI2_P040 [scRNA-seq]


title: H14_GI2_P040 [scRNA-seq]


title: I15_GI2_P040 [scRNA-seq]


title: H15_GI2_P040 [scRNA-seq]


title: J18_GI2_P040 [scRNA-seq]


title: H20_GI2_P040 [scRNA-seq]


title: H22_GI2_P040 [scRNA-seq]


title: H17_GI2_P040 [scRNA-seq]


title: H18_GI2_P040 [scRNA-seq]


title: H19_GI2_P040 [scRNA-seq]


title: H21_GI2_P040 [scRNA-seq]


title: H23_GI2_P040 [scRNA-seq]


title: G24_GI2_P040 [scRNA-seq]


title: G18_GI2_P040 [scRNA-seq]


title: G20_GI2_P040 [scRNA-seq]


title: G21_GI2_P040 [scRNA-seq]


title: G17_GI2_P040 [scRNA-seq]


title: H24_GI2_P040 [scRNA-seq]


title: G15_GI2_P040 [scRNA-seq]


title: G14_GI2_P040 [scRNA-seq]


title: G16_GI2_P040 [scRNA-seq]


title: F13_GI2_P040 [scRNA-seq]


title: G13_GI2_P040 [scRNA-seq]


title: I16_GI2_P040 [scRNA-seq]


title: F14_GI2_P040 [scRNA-seq]


title: F16_GI2_P040 [scRNA-seq]


title: F18_GI2_P040 [scRNA-seq]


title: F17_GI2_P040 [scRNA-seq]


title: F15_GI2_P040 [scRNA-seq]


title: F19_GI2_P040 [scRNA-seq]


title: F21_GI2_P040 [scRNA-seq]


title: F20_GI2_P040 [scRNA-seq]


title: G22_GI2_P040 [scRNA-seq]


title: F24_GI2_P040 [scRNA-seq]


title: G23_GI2_P040 [scRNA-seq]


title: E22_GI2_P040 [scRNA-seq]


title: E21_GI2_P040 [scRNA-seq]


title: F23_GI2_P040 [scRNA-seq]


title: E18_GI2_P040 [scRNA-seq]


title: E15_GI2_P040 [scRNA-seq]


title: E24_GI2_P040 [scRNA-seq]


title: E14_GI2_P040 [scRNA-seq]


title: E17_GI2_P040 [scRNA-seq]


title: E23_GI2_P040 [scRNA-seq]


title: E13_GI2_P040 [scRNA-seq]


title: D15_GI2_P040 [scRNA-seq]


title: D16_GI2_P040 [scRNA-seq]


title: D18_GI2_P040 [scRNA-seq]


title: D17_GI2_P040 [scRNA-seq]


title: D24_GI2_P040 [scRNA-seq]


title: D21_GI2_P040 [scRNA-seq]


title: D20_GI2_P040 [scRNA-seq]


title: C23_GI2_P040 [scRNA-seq]


title: D23_GI2_P040 [scRNA-seq]


title: C22_GI2_P040 [scRNA-seq]


title: G19_GI2_P040 [scRNA-seq]


title: C20_GI2_P040 [scRNA-seq]


title: C18_GI2_P040 [scRNA-seq]


title: C19_GI2_P040 [scRNA-seq]


title: C17_GI2_P040 [scRNA-seq]


title: E20_GI2_P040 [scRNA-seq]


title: C21_GI2_P040 [scRNA-seq]


title: E16_GI2_P040 [scRNA-seq]


title: E19_GI2_P040 [scRNA-seq]


title: C15_GI2_P040 [scRNA-seq]


title: D22_GI2_P040 [scRNA-seq]


title: C13_GI2_P040 [scRNA-seq]


title: B17_GI2_P040 [scRNA-seq]


title: B13_GI2_P040 [scRNA-seq]


title: B14_GI2_P040 [scRNA-seq]


title: B16_GI2_P040 [scRNA-seq]


title: C14_GI2_P040 [scRNA-seq]


title: B15_GI2_P040 [scRNA-seq]


title: B19_GI2_P040 [scRNA-seq]


title: B20_GI2_P040 [scRNA-seq]


title: B18_GI2_P040 [scRNA-seq]


title: B21_GI2_P040 [scRNA-seq]


title: B24_GI2_P040 [scRNA-seq]


title: B23_GI2_P040 [scRNA-seq]


title: A24_GI2_P040 [scRNA-seq]


title: A23_GI2_P040 [scRNA-seq]


title: A18_GI2_P040 [scRNA-seq]


title: A21_GI2_P040 [scRNA-seq]


title: A19_GI2_P040 [scRNA-seq]


title: C16_GI2_P040 [scRNA-seq]


title: A16_GI2_P040 [scRNA-seq]


title: A17_GI2_P040 [scRNA-seq]


title: A14_GI2_P040 [scRNA-seq]


title: P14_GI3_P556 [scRNA-seq]

description:
#3  Inflamed
Gene_Raw_Count_Single_Cell_RNA-seq_Smart-seq2.txt


title: P17_GI3_P556 [scRNA-seq]


title: P19_GI3_P556 [scRNA-seq]


title: P13_GI3_P556 [scRNA-seq]


title: P16_GI3_P556 [scRNA-seq]


title: P20_GI3_P556 [scRNA-seq]


title: P18_GI3_P556 [scRNA-seq]


title: P21_GI3_P556 [scRNA-seq]


title: O21_GI3_P556 [scRNA-seq]


title: O24_GI3_P556 [scRNA-seq]


title: O19_GI3_P556 [scRNA-seq]


title: O20_GI3_P556 [scRNA-seq]


title: O17_GI3_P556 [scRNA-seq]


title: N15_GI3_P556 [scRNA-seq]


title: N16_GI3_P556 [scRNA-seq]


title: N17_GI3_P556 [scRNA-seq]


title: A15_GI2_P040 [scRNA-seq]


title: N13_GI3_P556 [scRNA-seq]


title: N14_GI3_P556 [scRNA-seq]


title: N18_GI3_P556 [scRNA-seq]


title: N20_GI3_P556 [scRNA-seq]


title: N22_GI3_P556 [scRNA-seq]


title: M24_GI3_P556 [scRNA-seq]


title: N24_GI3_P556 [scRNA-seq]


title: M23_GI3_P556 [scRNA-seq]


title: M19_GI3_P556 [scRNA-seq]


title: M21_GI3_P556 [scRNA-seq]


title: P22_GI3_P556 [scRNA-seq]


title: O22_GI3_P556 [scRNA-seq]


title: M18_GI3_P556 [scRNA-seq]


title: M17_GI3_P556 [scRNA-seq]


title: M15_GI3_P556 [scRNA-seq]


title: O16_GI3_P556 [scRNA-seq]


title: M14_GI3_P556 [scRNA-seq]


title: L13_GI3_P556 [scRNA-seq]


title: L14_GI3_P556 [scRNA-seq]


title: N19_GI3_P556 [scRNA-seq]


title: L15_GI3_P556 [scRNA-seq]


title: M20_GI3_P556 [scRNA-seq]


title: L17_GI3_P556 [scRNA-seq]


title: M13_GI3_P556 [scRNA-seq]


title: L18_GI3_P556 [scRNA-seq]


title: L16_GI3_P556 [scRNA-seq]


title: L19_GI3_P556 [scRNA-seq]


title: L20_GI3_P556 [scRNA-seq]


title: M22_GI3_P556 [scRNA-seq]


title: K24_GI3_P556 [scRNA-seq]


title: K23_GI3_P556 [scRNA-seq]


title: L24_GI3_P556 [scRNA-seq]


title: L23_GI3_P556 [scRNA-seq]


title: K22_GI3_P556 [scRNA-seq]


title: M16_GI3_P556 [scRNA-seq]


title: K19_GI3_P556 [scRNA-seq]


title: K21_GI3_P556 [scRNA-seq]


title: K20_GI3_P556 [scRNA-seq]


title: K18_GI3_P556 [scRNA-seq]


title: K15_GI3_P556 [scRNA-seq]


title: K16_GI3_P556 [scRNA-seq]


title: J13_GI3_P556 [scRNA-seq]


title: J14_GI3_P556 [scRNA-seq]


title: J16_GI3_P556 [scRNA-seq]


title: J17_GI3_P556 [scRNA-seq]


title: L22_GI3_P556 [scRNA-seq]


title: K14_GI3_P556 [scRNA-seq]


title: J21_GI3_P556 [scRNA-seq]


title: J19_GI3_P556 [scRNA-seq]


title: J20_GI3_P556 [scRNA-seq]


title: J24_GI3_P556 [scRNA-seq]


title: K17_GI3_P556 [scRNA-seq]


title: I18_GI3_P556 [scRNA-seq]


title: I21_GI3_P556 [scRNA-seq]


title: I22_GI3_P556 [scRNA-seq]


title: I23_GI3_P556 [scRNA-seq]


title: J18_GI3_P556 [scRNA-seq]


title: J22_GI3_P556 [scRNA-seq]


title: I20_GI3_P556 [scRNA-seq]


title: I15_GI3_P556 [scRNA-seq]


title: I19_GI3_P556 [scRNA-seq]


title: H13_GI3_P556 [scRNA-seq]


title: I14_GI3_P556 [scRNA-seq]


title: K13_GI3_P556 [scRNA-seq]


title: H16_GI3_P556 [scRNA-seq]


title: I17_GI3_P556 [scRNA-seq]


title: I16_GI3_P556 [scRNA-seq]


title: I13_GI3_P556 [scRNA-seq]


title: H14_GI3_P556 [scRNA-seq]


title: H15_GI3_P556 [scRNA-seq]


title: H21_GI3_P556 [scRNA-seq]


title: H20_GI3_P556 [scRNA-seq]


title: H18_GI3_P556 [scRNA-seq]


title: H22_GI3_P556 [scRNA-seq]


title: G24_GI3_P556 [scRNA-seq]


title: G22_GI3_P556 [scRNA-seq]


title: G21_GI3_P556 [scRNA-seq]


title: G18_GI3_P556 [scRNA-seq]


title: G20_GI3_P556 [scRNA-seq]


title: G16_GI3_P556 [scRNA-seq]


title: G17_GI3_P556 [scRNA-seq]


title: G15_GI3_P556 [scRNA-seq]


title: F13_GI3_P556 [scRNA-seq]


title: F15_GI3_P556 [scRNA-seq]


title: F16_GI3_P556 [scRNA-seq]


title: G13_GI3_P556 [scRNA-seq]


title: F17_GI3_P556 [scRNA-seq]


title: F18_GI3_P556 [scRNA-seq]


title: H19_GI3_P556 [scRNA-seq]


title: F20_GI3_P556 [scRNA-seq]


title: F22_GI3_P556 [scRNA-seq]


title: H23_GI3_P556 [scRNA-seq]


title: H24_GI3_P556 [scRNA-seq]


title: F21_GI3_P556 [scRNA-seq]


title: F23_GI3_P556 [scRNA-seq]


title: G19_GI3_P556 [scRNA-seq]


title: F24_GI3_P556 [scRNA-seq]


title: E21_GI3_P556 [scRNA-seq]


title: H17_GI3_P556 [scRNA-seq]


title: G14_GI3_P556 [scRNA-seq]


title: E20_GI3_P556 [scRNA-seq]


title: E18_GI3_P556 [scRNA-seq]


title: E19_GI3_P556 [scRNA-seq]


title: E22_GI3_P556 [scRNA-seq]


title: E17_GI3_P556 [scRNA-seq]


title: E23_GI3_P556 [scRNA-seq]


title: F14_GI3_P556 [scRNA-seq]


title: D13_GI3_P556 [scRNA-seq]


title: E16_GI3_P556 [scRNA-seq]


title: G23_GI3_P556 [scRNA-seq]


title: F19_GI3_P556 [scRNA-seq]


title: E14_GI3_P556 [scRNA-seq]


title: E13_GI3_P556 [scRNA-seq]


title: D20_GI3_P556 [scRNA-seq]


title: D23_GI3_P556 [scRNA-seq]


title: D21_GI3_P556 [scRNA-seq]


title: D22_GI3_P556 [scRNA-seq]


title: D18_GI3_P556 [scRNA-seq]


title: D16_GI3_P556 [scRNA-seq]


title: D15_GI3_P556 [scRNA-seq]


title: E24_GI3_P556 [scRNA-seq]


title: C24_GI3_P556 [scRNA-seq]


title: D24_GI3_P556 [scRNA-seq]


title: C17_GI3_P556 [scRNA-seq]


title: C21_GI3_P556 [scRNA-seq]


title: C23_GI3_P556 [scRNA-seq]


title: E15_GI3_P556 [scRNA-seq]


title: C19_GI3_P556 [scRNA-seq]


title: C16_GI3_P556 [scRNA-seq]


title: C18_GI3_P556 [scRNA-seq]


title: C15_GI3_P556 [scRNA-seq]


title: B14_GI3_P556 [scRNA-seq]


title: D14_GI3_P556 [scRNA-seq]


title: B13_GI3_P556 [scRNA-seq]


title: B15_GI3_P556 [scRNA-seq]


title: B17_GI3_P556 [scRNA-seq]


title: C22_GI3_P556 [scRNA-seq]


title: C14_GI3_P556 [scRNA-seq]


title: B16_GI3_P556 [scRNA-seq]


title: B20_GI3_P556 [scRNA-seq]


title: B22_GI3_P556 [scRNA-seq]


title: B21_GI3_P556 [scRNA-seq]


title: B18_GI3_P556 [scRNA-seq]


title: A20_GI3_P556 [scRNA-seq]


title: A19_GI3_P556 [scRNA-seq]


title: A24_GI3_P556 [scRNA-seq]


title: B19_GI3_P556 [scRNA-seq]


title: A23_GI3_P556 [scRNA-seq]


title: B24_GI3_P556 [scRNA-seq]


title: A18_GI3_P556 [scRNA-seq]


title: B23_GI3_P556 [scRNA-seq]


title: A17_GI3_P556 [scRNA-seq]


title: A15_GI3_P556 [scRNA-seq]


title: P13_GI3_P000 [scRNA-seq]


title: A14_GI3_P556 [scRNA-seq]


title: A13_GI3_P556 [scRNA-seq]


title: P17_GI3_P000 [scRNA-seq]


title: P18_GI3_P000 [scRNA-seq]


title: P15_GI3_P000 [scRNA-seq]


title: P20_GI3_P000 [scRNA-seq]


title: O23_GI3_P000 [scRNA-seq]


title: P22_GI3_P000 [scRNA-seq]


title: P21_GI3_P000 [scRNA-seq]


title: O22_GI3_P000 [scRNA-seq]


title: A16_GI3_P556 [scRNA-seq]


title: O20_GI3_P000 [scRNA-seq]


title: O21_GI3_P000 [scRNA-seq]


title: O19_GI3_P000 [scRNA-seq]


title: P19_GI3_P000 [scRNA-seq]


title: O13_GI3_P000 [scRNA-seq]


title: O15_GI3_P000 [scRNA-seq]


title: N13_GI3_P000 [scRNA-seq]


title: O16_GI3_P000 [scRNA-seq]


title: O18_GI3_P000 [scRNA-seq]


title: N18_GI3_P000 [scRNA-seq]


title: N17_GI3_P000 [scRNA-seq]


title: N16_GI3_P000 [scRNA-seq]


title: N20_GI3_P000 [scRNA-seq]


title: N21_GI3_P000 [scRNA-seq]


title: N22_GI3_P000 [scRNA-seq]


title: N23_GI3_P000 [scRNA-seq]


title: O17_GI3_P000 [scRNA-seq]


title: N19_GI3_P000 [scRNA-seq]


title: M22_GI3_P000 [scRNA-seq]


title: M21_GI3_P000 [scRNA-seq]


title: M18_GI3_P000 [scRNA-seq]


title: M24_GI3_P000 [scRNA-seq]


title: M19_GI3_P000 [scRNA-seq]


title: M20_GI3_P000 [scRNA-seq]


title: O14_GI3_P000 [scRNA-seq]


title: M17_GI3_P000 [scRNA-seq]


title: M16_GI3_P000 [scRNA-seq]


title: M15_GI3_P000 [scRNA-seq]


title: M14_GI3_P000 [scRNA-seq]


title: P14_GI3_P000 [scRNA-seq]


title: L13_GI3_P000 [scRNA-seq]


title: L14_GI3_P000 [scRNA-seq]


title: L19_GI3_P000 [scRNA-seq]


title: L16_GI3_P000 [scRNA-seq]


title: L21_GI3_P000 [scRNA-seq]


title: N24_GI3_P000 [scRNA-seq]


title: L20_GI3_P000 [scRNA-seq]


title: M23_GI3_P000 [scRNA-seq]


title: L23_GI3_P000 [scRNA-seq]


title: L17_GI3_P000 [scRNA-seq]


title: L22_GI3_P000 [scRNA-seq]


title: L24_GI3_P000 [scRNA-seq]


title: M13_GI3_P000 [scRNA-seq]


title: K16_GI3_P000 [scRNA-seq]


title: K15_GI3_P000 [scRNA-seq]


title: K19_GI3_P000 [scRNA-seq]


title: K18_GI3_P000 [scRNA-seq]


title: K21_GI3_P000 [scRNA-seq]


title: J13_GI3_P000 [scRNA-seq]


title: K14_GI3_P000 [scRNA-seq]


title: K24_GI3_P000 [scRNA-seq]


title: L15_GI3_P000 [scRNA-seq]


title: J16_GI3_P000 [scRNA-seq]


title: J15_GI3_P000 [scRNA-seq]


title: J14_GI3_P000 [scRNA-seq]


title: J20_GI3_P000 [scRNA-seq]


title: J22_GI3_P000 [scRNA-seq]


title: J19_GI3_P000 [scRNA-seq]


title: I24_GI3_P000 [scRNA-seq]


title: I23_GI3_P000 [scRNA-seq]


title: I22_GI3_P000 [scRNA-seq]


title: I21_GI3_P000 [scRNA-seq]


title: I20_GI3_P000 [scRNA-seq]


title: I17_GI3_P000 [scRNA-seq]


title: I16_GI3_P000 [scRNA-seq]


title: I15_GI3_P000 [scRNA-seq]


title: O24_GI3_P000 [scRNA-seq]


title: J21_GI3_P000 [scRNA-seq]


title: H13_GI3_P000 [scRNA-seq]


title: I14_GI3_P000 [scRNA-seq]


title: H14_GI3_P000 [scRNA-seq]


title: H15_GI3_P000 [scRNA-seq]


title: H17_GI3_P000 [scRNA-seq]


title: H19_GI3_P000 [scRNA-seq]


title: H21_GI3_P000 [scRNA-seq]


title: H18_GI3_P000 [scRNA-seq]


title: I13_GI3_P000 [scRNA-seq]


title: J23_GI3_P000 [scRNA-seq]


title: H22_GI3_P000 [scRNA-seq]


title: H20_GI3_P000 [scRNA-seq]


title: I18_GI3_P000 [scRNA-seq]


title: G24_GI3_P000 [scRNA-seq]


title: G21_GI3_P000 [scRNA-seq]


title: G22_GI3_P000 [scRNA-seq]


title: G19_GI3_P000 [scRNA-seq]


title: G18_GI3_P000 [scRNA-seq]


title: G20_GI3_P000 [scRNA-seq]


title: G16_GI3_P000 [scRNA-seq]


title: G17_GI3_P000 [scRNA-seq]


title: G15_GI3_P000 [scRNA-seq]


title: G13_GI3_P000 [scRNA-seq]


title: F15_GI3_P000 [scRNA-seq]


title: F14_GI3_P000 [scRNA-seq]


title: F16_GI3_P000 [scRNA-seq]


title: G14_GI3_P000 [scRNA-seq]


title: F18_GI3_P000 [scRNA-seq]


title: F17_GI3_P000 [scRNA-seq]


title: F22_GI3_P000 [scRNA-seq]


title: F23_GI3_P000 [scRNA-seq]


title: H24_GI3_P000 [scRNA-seq]


title: E24_GI3_P000 [scRNA-seq]


title: H16_GI3_P000 [scRNA-seq]


title: G23_GI3_P000 [scRNA-seq]


title: F19_GI3_P000 [scRNA-seq]


title: F24_GI3_P000 [scRNA-seq]


title: F20_GI3_P000 [scRNA-seq]


title: E21_GI3_P000 [scRNA-seq]


title: E23_GI3_P000 [scRNA-seq]


title: E17_GI3_P000 [scRNA-seq]


title: E22_GI3_P000 [scRNA-seq]


title: D16_GI3_P000 [scRNA-seq]


title: E18_GI3_P000 [scRNA-seq]


title: D13_GI3_P000 [scRNA-seq]


title: D14_GI3_P000 [scRNA-seq]


title: E19_GI3_P000 [scRNA-seq]


title: D21_GI3_P000 [scRNA-seq]


title: D22_GI3_P000 [scRNA-seq]


title: D23_GI3_P000 [scRNA-seq]


title: D24_GI3_P000 [scRNA-seq]


title: D19_GI3_P000 [scRNA-seq]


title: C23_GI3_P000 [scRNA-seq]


title: C24_GI3_P000 [scRNA-seq]


title: C21_GI3_P000 [scRNA-seq]


title: D20_GI3_P000 [scRNA-seq]


title: C22_GI3_P000 [scRNA-seq]


title: C20_GI3_P000 [scRNA-seq]


title: C19_GI3_P000 [scRNA-seq]


title: C18_GI3_P000 [scRNA-seq]


title: E15_GI3_P000 [scRNA-seq]


title: D15_GI3_P000 [scRNA-seq]


title: C17_GI3_P000 [scRNA-seq]


title: C13_GI3_P000 [scRNA-seq]


title: B14_GI3_P000 [scRNA-seq]


title: B13_GI3_P000 [scRNA-seq]


title: B18_GI3_P000 [scRNA-seq]


title: B20_GI3_P000 [scRNA-seq]


title: D18_GI3_P000 [scRNA-seq]


title: B15_GI3_P000 [scRNA-seq]


title: B24_GI3_P000 [scRNA-seq]


title: A23_GI3_P000 [scRNA-seq]


title: A24_GI3_P000 [scRNA-seq]


title: A21_GI3_P000 [scRNA-seq]


title: A22_GI3_P000 [scRNA-seq]


title: A17_GI3_P000 [scRNA-seq]


title: A18_GI3_P000 [scRNA-seq]


title: A20_GI3_P000 [scRNA-seq]


title: A16_GI3_P000 [scRNA-seq]


title: C14_GI3_P000 [scRNA-seq]


title: C16_GI3_P000 [scRNA-seq]


title: A14_GI3_P000 [scRNA-seq]


title: P15_GNI1_P004 [scRNA-seq]

description:
#1 Non-inflamed
Gene_Raw_Count_Single_Cell_RNA-seq_Smart-seq2.txt

value: Tumor screening

value: non-inflamed


title: A15_GI3_P000 [scRNA-seq]


title: A13_GI3_P000 [scRNA-seq]


title: P16_GNI1_P004 [scRNA-seq]


title: B17_GI3_P000 [scRNA-seq]


title: P18_GNI1_P004 [scRNA-seq]


title: O20_GNI1_P004 [scRNA-seq]


title: P21_GNI1_P004 [scRNA-seq]


title: O19_GNI1_P004 [scRNA-seq]


title: O24_GNI1_P004 [scRNA-seq]


title: O22_GNI1_P004 [scRNA-seq]


title: P20_GNI1_P004 [scRNA-seq]


title: O18_GNI1_P004 [scRNA-seq]


title: D17_GI3_P000 [scRNA-seq]


title: O13_GNI1_P004 [scRNA-seq]


title: O14_GNI1_P004 [scRNA-seq]


title: O16_GNI1_P004 [scRNA-seq]


title: N13_GNI1_P004 [scRNA-seq]


title: N20_GNI1_P004 [scRNA-seq]


title: N15_GNI1_P004 [scRNA-seq]


title: N16_GNI1_P004 [scRNA-seq]


title: N14_GNI1_P004 [scRNA-seq]


title: N22_GNI1_P004 [scRNA-seq]


title: N21_GNI1_P004 [scRNA-seq]


title: M19_GNI1_P004 [scRNA-seq]


title: M20_GNI1_P004 [scRNA-seq]


title: N24_GNI1_P004 [scRNA-seq]


title: N14_GI3_P000 [scRNA-seq]


title: M22_GNI1_P004 [scRNA-seq]


title: P19_GNI1_P004 [scRNA-seq]


title: M18_GNI1_P004 [scRNA-seq]


title: M17_GNI1_P004 [scRNA-seq]


title: M13_GNI1_P004 [scRNA-seq]


title: L13_GNI1_P004 [scRNA-seq]


title: M16_GNI1_P004 [scRNA-seq]


title: M14_GNI1_P004 [scRNA-seq]


title: L15_GNI1_P004 [scRNA-seq]


title: L16_GNI1_P004 [scRNA-seq]


title: L17_GNI1_P004 [scRNA-seq]


title: L14_GNI1_P004 [scRNA-seq]


title: L20_GNI1_P004 [scRNA-seq]


title: L23_GNI1_P004 [scRNA-seq]


title: M24_GNI1_P004 [scRNA-seq]


title: K24_GNI1_P004 [scRNA-seq]


title: K17_GNI1_P004 [scRNA-seq]


title: K22_GNI1_P004 [scRNA-seq]


title: K20_GNI1_P004 [scRNA-seq]


title: K16_GNI1_P004 [scRNA-seq]


title: K15_GNI1_P004 [scRNA-seq]


title: K13_GNI1_P004 [scRNA-seq]


title: K21_GNI1_P004 [scRNA-seq]


title: J13_GNI1_P004 [scRNA-seq]


title: J14_GNI1_P004 [scRNA-seq]


title: J16_GNI1_P004 [scRNA-seq]


title: J15_GNI1_P004 [scRNA-seq]


title: J17_GNI1_P004 [scRNA-seq]


title: O17_GNI1_P004 [scRNA-seq]


title: J18_GNI1_P004 [scRNA-seq]


title: J19_GNI1_P004 [scRNA-seq]


title: J22_GNI1_P004 [scRNA-seq]


title: J24_GNI1_P004 [scRNA-seq]


title: I24_GNI1_P004 [scRNA-seq]


title: L22_GNI1_P004 [scRNA-seq]


title: L19_GNI1_P004 [scRNA-seq]


title: I22_GNI1_P004 [scRNA-seq]


title: I23_GNI1_P004 [scRNA-seq]


title: L24_GNI1_P004 [scRNA-seq]


title: I19_GNI1_P004 [scRNA-seq]


title: I15_GNI1_P004 [scRNA-seq]


title: H14_GNI1_P004 [scRNA-seq]


title: H15_GNI1_P004 [scRNA-seq]


title: H22_GNI1_P004 [scRNA-seq]


title: H20_GNI1_P004 [scRNA-seq]


title: H16_GNI1_P004 [scRNA-seq]


title: G24_GNI1_P004 [scRNA-seq]


title: G20_GNI1_P004 [scRNA-seq]


title: G18_GNI1_P004 [scRNA-seq]


title: H19_GNI1_P004 [scRNA-seq]


title: G19_GNI1_P004 [scRNA-seq]


title: H17_GNI1_P004 [scRNA-seq]


title: G16_GNI1_P004 [scRNA-seq]


title: J23_GNI1_P004 [scRNA-seq]


title: F13_GNI1_P004 [scRNA-seq]


title: G13_GNI1_P004 [scRNA-seq]


title: G15_GNI1_P004 [scRNA-seq]


title: F14_GNI1_P004 [scRNA-seq]


title: F16_GNI1_P004 [scRNA-seq]


title: I18_GNI1_P004 [scRNA-seq]


title: F17_GNI1_P004 [scRNA-seq]


title: F19_GNI1_P004 [scRNA-seq]


title: I14_GNI1_P004 [scRNA-seq]


title: F21_GNI1_P004 [scRNA-seq]


title: F22_GNI1_P004 [scRNA-seq]


title: G22_GNI1_P004 [scRNA-seq]


title: F20_GNI1_P004 [scRNA-seq]


title: F23_GNI1_P004 [scRNA-seq]


title: F24_GNI1_P004 [scRNA-seq]


title: E20_GNI1_P004 [scRNA-seq]


title: E16_GNI1_P004 [scRNA-seq]


title: E22_GNI1_P004 [scRNA-seq]


title: E17_GNI1_P004 [scRNA-seq]


title: E15_GNI1_P004 [scRNA-seq]


title: E18_GNI1_P004 [scRNA-seq]


title: E19_GNI1_P004 [scRNA-seq]


title: D15_GNI1_P004 [scRNA-seq]


title: D16_GNI1_P004 [scRNA-seq]


title: F15_GNI1_P004 [scRNA-seq]


title: D17_GNI1_P004 [scRNA-seq]


title: D13_GNI1_P004 [scRNA-seq]


title: D22_GNI1_P004 [scRNA-seq]


title: D21_GNI1_P004 [scRNA-seq]


title: D18_GNI1_P004 [scRNA-seq]


title: D19_GNI1_P004 [scRNA-seq]


title: F18_GNI1_P004 [scRNA-seq]


title: C23_GNI1_P004 [scRNA-seq]


title: C21_GNI1_P004 [scRNA-seq]


title: D20_GNI1_P004 [scRNA-seq]


title: C20_GNI1_P004 [scRNA-seq]


title: C22_GNI1_P004 [scRNA-seq]


title: C19_GNI1_P004 [scRNA-seq]


title: C17_GNI1_P004 [scRNA-seq]


title: C18_GNI1_P004 [scRNA-seq]


title: B14_GNI1_P004 [scRNA-seq]


title: C13_GNI1_P004 [scRNA-seq]


title: B16_GNI1_P004 [scRNA-seq]


title: B13_GNI1_P004 [scRNA-seq]


title: B21_GNI1_P004 [scRNA-seq]


title: B18_GNI1_P004 [scRNA-seq]


title: B19_GNI1_P004 [scRNA-seq]


title: E21_GNI1_P004 [scRNA-seq]


title: B23_GNI1_P004 [scRNA-seq]


title: B24_GNI1_P004 [scRNA-seq]


title: A23_GNI1_P004 [scRNA-seq]


title: A21_GNI1_P004 [scRNA-seq]


title: B15_GNI1_P004 [scRNA-seq]


title: A15_GNI1_P004 [scRNA-seq]


title: B17_GNI1_P004 [scRNA-seq]


title: B22_GNI1_P004 [scRNA-seq]


title: P20_GNI2_P005 [scRNA-seq]

description:
#2 Non-inflamed
Gene_Raw_Count_Single_Cell_RNA-seq_Smart-seq2.txt


title: P21_GNI2_P005 [scRNA-seq]


title: A13_GNI1_P004 [scRNA-seq]


title: A17_GNI1_P004 [scRNA-seq]


title: P13_GNI2_P005 [scRNA-seq]


title: A20_GNI1_P004 [scRNA-seq]


title: P14_GNI2_P005 [scRNA-seq]


title: O24_GNI2_P005 [scRNA-seq]


title: P15_GNI2_P005 [scRNA-seq]


title: P16_GNI2_P005 [scRNA-seq]


title: O23_GNI2_P005 [scRNA-seq]


title: P19_GNI2_P005 [scRNA-seq]


title: O15_GNI2_P005 [scRNA-seq]


title: P22_GNI2_P005 [scRNA-seq]


title: O22_GNI2_P005 [scRNA-seq]


title: N14_GNI2_P005 [scRNA-seq]


title: O17_GNI2_P005 [scRNA-seq]


title: O18_GNI2_P005 [scRNA-seq]


title: N13_GNI2_P005 [scRNA-seq]


title: O20_GNI2_P005 [scRNA-seq]


title: O23_GI3_P556 [scRNA-seq]


title: P17_GNI2_P005 [scRNA-seq]


title: O13_GNI2_P005 [scRNA-seq]


title: P18_GNI2_P005 [scRNA-seq]


title: N15_GNI2_P005 [scRNA-seq]


title: O16_GNI2_P005 [scRNA-seq]


title: N20_GNI2_P005 [scRNA-seq]


title: N21_GNI2_P005 [scRNA-seq]


title: N18_GNI2_P005 [scRNA-seq]


title: M23_GNI2_P005 [scRNA-seq]


title: M24_GNI2_P005 [scRNA-seq]


title: N17_GNI2_P005 [scRNA-seq]


title: N19_GNI2_P005 [scRNA-seq]


title: N22_GNI2_P005 [scRNA-seq]


title: L13_GNI2_P005 [scRNA-seq]


title: M15_GNI2_P005 [scRNA-seq]


title: N23_GNI2_P005 [scRNA-seq]


title: M22_GNI2_P005 [scRNA-seq]


title: O21_GNI2_P005 [scRNA-seq]


title: O14_GNI2_P005 [scRNA-seq]


title: K22_GNI2_P005 [scRNA-seq]


title: K21_GNI2_P005 [scRNA-seq]


title: M20_GNI2_P005 [scRNA-seq]


title: M18_GNI2_P005 [scRNA-seq]


title: M19_GNI2_P005 [scRNA-seq]


title: K19_GNI2_P005 [scRNA-seq]


title: K18_GNI2_P005 [scRNA-seq]


title: M16_GNI2_P005 [scRNA-seq]


title: K17_GNI2_P005 [scRNA-seq]


title: K16_GNI2_P005 [scRNA-seq]


title: M13_GNI2_P005 [scRNA-seq]


title: M17_GNI2_P005 [scRNA-seq]


title: L14_GNI2_P005 [scRNA-seq]


title: J13_GNI2_P005 [scRNA-seq]


title: L16_GNI2_P005 [scRNA-seq]


title: K13_GNI2_P005 [scRNA-seq]


title: J15_GNI2_P005 [scRNA-seq]


title: J17_GNI2_P005 [scRNA-seq]


title: L17_GNI2_P005 [scRNA-seq]


title: L19_GNI2_P005 [scRNA-seq]


title: J18_GNI2_P005 [scRNA-seq]


title: L22_GNI2_P005 [scRNA-seq]


title: L20_GNI2_P005 [scRNA-seq]


title: L21_GNI2_P005 [scRNA-seq]


title: L23_GNI2_P005 [scRNA-seq]


title: K24_GNI2_P005 [scRNA-seq]


title: J24_GNI2_P005 [scRNA-seq]


title: I21_GNI2_P005 [scRNA-seq]


title: K23_GNI2_P005 [scRNA-seq]


title: I20_GNI2_P005 [scRNA-seq]


title: I19_GNI2_P005 [scRNA-seq]


title: I17_GNI2_P005 [scRNA-seq]


title: I15_GNI2_P005 [scRNA-seq]


title: K20_GNI2_P005 [scRNA-seq]


title: L15_GNI2_P005 [scRNA-seq]


title: H14_GNI2_P005 [scRNA-seq]


title: H15_GNI2_P005 [scRNA-seq]


title: K14_GNI2_P005 [scRNA-seq]


title: J14_GNI2_P005 [scRNA-seq]


title: I22_GNI2_P005 [scRNA-seq]


title: H17_GNI2_P005 [scRNA-seq]


title: J16_GNI2_P005 [scRNA-seq]


title: G24_GNI2_P005 [scRNA-seq]


title: J19_GNI2_P005 [scRNA-seq]


title: H23_GNI2_P005 [scRNA-seq]


title: J20_GNI2_P005 [scRNA-seq]


title: H24_GNI2_P005 [scRNA-seq]


title: J22_GNI2_P005 [scRNA-seq]


title: G22_GNI2_P005 [scRNA-seq]


title: G23_GNI2_P005 [scRNA-seq]


title: K15_GNI2_P005 [scRNA-seq]


title: J23_GNI2_P005 [scRNA-seq]


title: G21_GNI2_P005 [scRNA-seq]


title: I23_GNI2_P005 [scRNA-seq]


title: G20_GNI2_P005 [scRNA-seq]


title: G15_GNI2_P005 [scRNA-seq]


title: G16_GNI2_P005 [scRNA-seq]


title: G14_GNI2_P005 [scRNA-seq]


title: F16_GNI2_P005 [scRNA-seq]


title: F17_GNI2_P005 [scRNA-seq]


title: G13_GNI2_P005 [scRNA-seq]


title: F19_GNI2_P005 [scRNA-seq]


title: I18_GNI2_P005 [scRNA-seq]


title: I16_GNI2_P005 [scRNA-seq]


title: I14_GNI2_P005 [scRNA-seq]


title: I13_GNI2_P005 [scRNA-seq]


title: E21_GNI2_P005 [scRNA-seq]


title: F13_GNI2_P005 [scRNA-seq]


title: E16_GNI2_P005 [scRNA-seq]


title: E15_GNI2_P005 [scRNA-seq]


title: H16_GNI2_P005 [scRNA-seq]


title: D13_GNI2_P005 [scRNA-seq]


title: E13_GNI2_P005 [scRNA-seq]


title: H18_GNI2_P005 [scRNA-seq]


title: H19_GNI2_P005 [scRNA-seq]


title: H21_GNI2_P005 [scRNA-seq]


title: H22_GNI2_P005 [scRNA-seq]


title: H13_GNI2_P005 [scRNA-seq]


title: D20_GNI2_P005 [scRNA-seq]


title: D22_GNI2_P005 [scRNA-seq]


title: D21_GNI2_P005 [scRNA-seq]


title: D23_GNI2_P005 [scRNA-seq]


title: G18_GNI2_P005 [scRNA-seq]


title: G19_GNI2_P005 [scRNA-seq]


title: G17_GNI2_P005 [scRNA-seq]


title: D24_GNI2_P005 [scRNA-seq]


title: F14_GNI2_P005 [scRNA-seq]


title: C22_GNI2_P005 [scRNA-seq]


title: F18_GNI2_P005 [scRNA-seq]


title: F21_GNI2_P005 [scRNA-seq]


title: F24_GNI2_P005 [scRNA-seq]


title: E24_GNI2_P005 [scRNA-seq]


title: C21_GNI2_P005 [scRNA-seq]


title: E20_GNI2_P005 [scRNA-seq]


title: C20_GNI2_P005 [scRNA-seq]


title: E18_GNI2_P005 [scRNA-seq]


title: F22_GNI2_P005 [scRNA-seq]


title: E17_GNI2_P005 [scRNA-seq]


title: E23_GNI2_P005 [scRNA-seq]


title: E14_GNI2_P005 [scRNA-seq]


title: C16_GNI2_P005 [scRNA-seq]


title: E22_GNI2_P005 [scRNA-seq]


title: C13_GNI2_P005 [scRNA-seq]


title: D15_GNI2_P005 [scRNA-seq]


title: E19_GNI2_P005 [scRNA-seq]


title: D16_GNI2_P005 [scRNA-seq]


title: B16_GNI2_P005 [scRNA-seq]


title: D17_GNI2_P005 [scRNA-seq]


title: D18_GNI2_P005 [scRNA-seq]


title: D19_GNI2_P005 [scRNA-seq]


title: O18_GI3_P556 [scRNA-seq]


title: C23_GNI2_P005 [scRNA-seq]


title: B23_GNI2_P005 [scRNA-seq]


title: B21_GNI2_P005 [scRNA-seq]


title: C18_GNI2_P005 [scRNA-seq]


title: C19_GNI2_P005 [scRNA-seq]


title: C14_GNI2_P005 [scRNA-seq]


title: B15_GNI2_P005 [scRNA-seq]


title: B14_GNI2_P005 [scRNA-seq]


title: B17_GNI2_P005 [scRNA-seq]


title: B18_GNI2_P005 [scRNA-seq]


title: B19_GNI2_P005 [scRNA-seq]


title: C17_GNI2_P005 [scRNA-seq]


title: B20_GNI2_P005 [scRNA-seq]


title: P14_GNI2_P003 [scRNA-seq]


title: A24_GNI2_P005 [scRNA-seq]


title: A14_GNI2_P005 [scRNA-seq]


title: B24_GNI2_P005 [scRNA-seq]


title: A20_GNI2_P005 [scRNA-seq]


title: A21_GNI2_P005 [scRNA-seq]


title: A18_GNI2_P005 [scRNA-seq]


title: C15_GNI2_P005 [scRNA-seq]


title: P18_GNI2_P003 [scRNA-seq]


title: B13_GNI2_P005 [scRNA-seq]


title: P20_GNI2_P003 [scRNA-seq]


title: A23_GNI2_P005 [scRNA-seq]


title: A22_GNI2_P005 [scRNA-seq]


title: A16_GNI2_P005 [scRNA-seq]


title: P22_GNI2_P003 [scRNA-seq]


title: O24_GNI2_P003 [scRNA-seq]


title: O22_GNI2_P003 [scRNA-seq]


title: O19_GNI2_P003 [scRNA-seq]


title: A13_GNI2_P005 [scRNA-seq]


title: P15_GNI2_P003 [scRNA-seq]


title: A15_GNI2_P005 [scRNA-seq]


title: P13_GNI2_P003 [scRNA-seq]


title: P16_GNI2_P003 [scRNA-seq]


title: P17_GNI2_P003 [scRNA-seq]


title: N15_GNI2_P003 [scRNA-seq]


title: N17_GNI2_P003 [scRNA-seq]


title: P19_GNI2_P003 [scRNA-seq]


title: N16_GNI2_P003 [scRNA-seq]


title: N24_GNI2_P003 [scRNA-seq]


title: O21_GNI2_P003 [scRNA-seq]


title: M22_GNI2_P003 [scRNA-seq]


title: M20_GNI2_P003 [scRNA-seq]


title: O14_GNI2_P003 [scRNA-seq]


title: N13_GNI2_P003 [scRNA-seq]


title: O15_GNI2_P003 [scRNA-seq]


title: O13_GNI2_P003 [scRNA-seq]


title: O18_GNI2_P003 [scRNA-seq]


title: O16_GNI2_P003 [scRNA-seq]


title: M15_GNI2_P003 [scRNA-seq]


title: L16_GNI2_P003 [scRNA-seq]


title: N14_GNI2_P003 [scRNA-seq]


title: P21_GNI2_P003 [scRNA-seq]


title: N18_GNI2_P003 [scRNA-seq]


title: N21_GNI2_P003 [scRNA-seq]


title: N20_GNI2_P003 [scRNA-seq]


title: L24_GNI2_P003 [scRNA-seq]


title: K22_GNI2_P003 [scRNA-seq]


title: K23_GNI2_P003 [scRNA-seq]


title: L22_GNI2_P003 [scRNA-seq]


title: N22_GNI2_P003 [scRNA-seq]


title: N23_GNI2_P003 [scRNA-seq]


title: M24_GNI2_P003 [scRNA-seq]


title: M21_GNI2_P003 [scRNA-seq]


title: K15_GNI2_P003 [scRNA-seq]


title: K16_GNI2_P003 [scRNA-seq]


title: K17_GNI2_P003 [scRNA-seq]


title: M19_GNI2_P003 [scRNA-seq]


title: K14_GNI2_P003 [scRNA-seq]


title: K13_GNI2_P003 [scRNA-seq]


title: M17_GNI2_P003 [scRNA-seq]


title: M16_GNI2_P003 [scRNA-seq]


title: N19_GNI2_P003 [scRNA-seq]


title: M14_GNI2_P003 [scRNA-seq]


title: M13_GNI2_P003 [scRNA-seq]


title: J22_GNI2_P003 [scRNA-seq]


title: L14_GNI2_P003 [scRNA-seq]


title: I24_GNI2_P003 [scRNA-seq]


title: I23_GNI2_P003 [scRNA-seq]


title: L15_GNI2_P003 [scRNA-seq]


title: L17_GNI2_P003 [scRNA-seq]


title: L19_GNI2_P003 [scRNA-seq]


title: J19_GNI2_P003 [scRNA-seq]


title: L20_GNI2_P003 [scRNA-seq]


title: L21_GNI2_P003 [scRNA-seq]


title: M18_GNI2_P003 [scRNA-seq]


title: J17_GNI2_P003 [scRNA-seq]


title: I16_GNI2_P003 [scRNA-seq]


title: I22_GNI2_P003 [scRNA-seq]


title: K24_GNI2_P003 [scRNA-seq]


title: I14_GNI2_P003 [scRNA-seq]


title: K20_GNI2_P003 [scRNA-seq]


title: I13_GNI2_P003 [scRNA-seq]


title: K19_GNI2_P003 [scRNA-seq]


title: H16_GNI2_P003 [scRNA-seq]


title: H14_GNI2_P003 [scRNA-seq]


title: K18_GNI2_P003 [scRNA-seq]


title: H19_GNI2_P003 [scRNA-seq]


title: L23_GNI2_P003 [scRNA-seq]


title: J13_GNI2_P003 [scRNA-seq]


title: J14_GNI2_P003 [scRNA-seq]


title: H21_GNI2_P003 [scRNA-seq]


title: H23_GNI2_P003 [scRNA-seq]


title: H24_GNI2_P003 [scRNA-seq]


title: G24_GNI2_P003 [scRNA-seq]


title: J16_GNI2_P003 [scRNA-seq]


title: G22_GNI2_P003 [scRNA-seq]


title: H13_GNI2_P003 [scRNA-seq]


title: J20_GNI2_P003 [scRNA-seq]


title: G18_GNI2_P003 [scRNA-seq]


title: J23_GNI2_P003 [scRNA-seq]


title: I21_GNI2_P003 [scRNA-seq]


title: F15_GNI2_P003 [scRNA-seq]


title: I19_GNI2_P003 [scRNA-seq]


title: F16_GNI2_P003 [scRNA-seq]


title: I17_GNI2_P003 [scRNA-seq]


title: F18_GNI2_P003 [scRNA-seq]


title: F19_GNI2_P003 [scRNA-seq]


title: J21_GNI2_P003 [scRNA-seq]


title: F20_GNI2_P003 [scRNA-seq]


title: F21_GNI2_P003 [scRNA-seq]


title: F22_GNI2_P003 [scRNA-seq]


title: I15_GNI2_P003 [scRNA-seq]


title: F23_GNI2_P003 [scRNA-seq]


title: E24_GNI2_P003 [scRNA-seq]


title: H18_GNI2_P003 [scRNA-seq]


title: E22_GNI2_P003 [scRNA-seq]


title: H20_GNI2_P003 [scRNA-seq]


title: E20_GNI2_P003 [scRNA-seq]


title: E17_GNI2_P003 [scRNA-seq]


title: E18_GNI2_P003 [scRNA-seq]


title: E15_GNI2_P003 [scRNA-seq]


title: G20_GNI2_P003 [scRNA-seq]


title: G21_GNI2_P003 [scRNA-seq]


title: G19_GNI2_P003 [scRNA-seq]


title: D14_GNI2_P003 [scRNA-seq]


title: D16_GNI2_P003 [scRNA-seq]


title: G13_GNI2_P003 [scRNA-seq]


title: D17_GNI2_P003 [scRNA-seq]


title: D18_GNI2_P003 [scRNA-seq]


title: D21_GNI2_P003 [scRNA-seq]


title: D20_GNI2_P003 [scRNA-seq]


title: D22_GNI2_P003 [scRNA-seq]


title: D24_GNI2_P003 [scRNA-seq]


title: C24_GNI2_P003 [scRNA-seq]


title: F13_GNI2_P003 [scRNA-seq]


title: F14_GNI2_P003 [scRNA-seq]


title: H22_GNI2_P003 [scRNA-seq]


title: C22_GNI2_P003 [scRNA-seq]


title: C18_GNI2_P003 [scRNA-seq]


title: C17_GNI2_P003 [scRNA-seq]


title: F24_GNI2_P003 [scRNA-seq]


title: F17_GNI2_P003 [scRNA-seq]


title: C15_GNI2_P003 [scRNA-seq]


title: G16_GNI2_P003 [scRNA-seq]


title: B19_GNI2_P003 [scRNA-seq]


title: G15_GNI2_P003 [scRNA-seq]


title: B17_GNI2_P003 [scRNA-seq]


title: B20_GNI2_P003 [scRNA-seq]


title: B21_GNI2_P003 [scRNA-seq]


title: E21_GNI2_P003 [scRNA-seq]


title: B22_GNI2_P003 [scRNA-seq]


title: A24_GNI2_P003 [scRNA-seq]


title: E19_GNI2_P003 [scRNA-seq]


title: D13_GNI2_P003 [scRNA-seq]


title: E14_GNI2_P003 [scRNA-seq]


title: E16_GNI2_P003 [scRNA-seq]


title: D15_GNI2_P003 [scRNA-seq]


title: C14_GNI2_P003 [scRNA-seq]


title: A22_GNI2_P003 [scRNA-seq]


title: B14_GNI2_P003 [scRNA-seq]


title: C23_GNI2_P003 [scRNA-seq]


title: A20_GNI2_P003 [scRNA-seq]


title: D19_GNI2_P003 [scRNA-seq]


title: C20_GNI2_P003 [scRNA-seq]


title: A17_GNI2_P003 [scRNA-seq]


title: C19_GNI2_P003 [scRNA-seq]


title: A18_GNI2_P003 [scRNA-seq]


title: A15_GNI2_P003 [scRNA-seq]


title: C16_GNI2_P003 [scRNA-seq]


title: A23_GNI2_P003 [scRNA-seq]


title: P14_GNI2_P002 [scRNA-seq]


title: B13_GNI2_P003 [scRNA-seq]


title: B18_GNI2_P003 [scRNA-seq]


title: B24_GNI2_P003 [scRNA-seq]


title: A19_GNI2_P003 [scRNA-seq]


title: P19_GNI2_P002 [scRNA-seq]


title: A16_GNI2_P003 [scRNA-seq]


title: A14_GNI2_P003 [scRNA-seq]


title: P18_GNI2_P002 [scRNA-seq]


title: O23_GNI2_P002 [scRNA-seq]


title: P21_GNI2_P002 [scRNA-seq]


title: P13_GNI2_P002 [scRNA-seq]


title: P16_GNI2_P002 [scRNA-seq]


title: O20_GNI2_P002 [scRNA-seq]


title: P17_GNI2_P002 [scRNA-seq]


title: P22_GNI2_P002 [scRNA-seq]


title: O22_GNI2_P002 [scRNA-seq]


title: O21_GNI2_P002 [scRNA-seq]


title: O19_GNI2_P002 [scRNA-seq]


title: P20_GNI2_P002 [scRNA-seq]


title: O17_GNI2_P002 [scRNA-seq]


title: A13_GNI2_P003 [scRNA-seq]


title: O15_GNI2_P002 [scRNA-seq]


title: P15_GNI2_P002 [scRNA-seq]


title: O18_GNI2_P002 [scRNA-seq]


title: O24_GNI2_P002 [scRNA-seq]


title: O13_GNI2_P002 [scRNA-seq]


title: N16_GNI2_P002 [scRNA-seq]


title: N14_GNI2_P002 [scRNA-seq]


title: N13_GNI2_P002 [scRNA-seq]


title: N17_GNI2_P002 [scRNA-seq]


title: N20_GNI2_P002 [scRNA-seq]


title: N21_GNI2_P002 [scRNA-seq]


title: N23_GNI2_P002 [scRNA-seq]


title: M24_GNI2_P002 [scRNA-seq]


title: N24_GNI2_P002 [scRNA-seq]


title: M23_GNI2_P002 [scRNA-seq]


title: M20_GNI2_P002 [scRNA-seq]


title: M21_GNI2_P002 [scRNA-seq]


title: M19_GNI2_P002 [scRNA-seq]


title: M13_GNI2_P002 [scRNA-seq]


title: O14_GNI2_P002 [scRNA-seq]


title: M18_GNI2_P002 [scRNA-seq]


title: L22_GNI2_P002 [scRNA-seq]


title: L17_GNI2_P002 [scRNA-seq]


title: L19_GNI2_P002 [scRNA-seq]


title: N18_GNI2_P002 [scRNA-seq]


title: O16_GNI2_P002 [scRNA-seq]


title: K22_GNI2_P002 [scRNA-seq]


title: L18_GNI2_P002 [scRNA-seq]


title: K23_GNI2_P002 [scRNA-seq]


title: K21_GNI2_P002 [scRNA-seq]


title: L24_GNI2_P002 [scRNA-seq]


title: L15_GNI2_P002 [scRNA-seq]


title: K18_GNI2_P002 [scRNA-seq]


title: K20_GNI2_P002 [scRNA-seq]


title: L20_GNI2_P002 [scRNA-seq]


title: L21_GNI2_P002 [scRNA-seq]


title: K24_GNI2_P002 [scRNA-seq]


title: K17_GNI2_P002 [scRNA-seq]


title: K19_GNI2_P002 [scRNA-seq]


title: K15_GNI2_P002 [scRNA-seq]


title: L13_GNI2_P002 [scRNA-seq]


title: J13_GNI2_P002 [scRNA-seq]


title: J14_GNI2_P002 [scRNA-seq]


title: K16_GNI2_P002 [scRNA-seq]


title: J19_GNI2_P002 [scRNA-seq]


title: J18_GNI2_P002 [scRNA-seq]


title: J23_GNI2_P002 [scRNA-seq]


title: J22_GNI2_P002 [scRNA-seq]


title: J15_GNI2_P002 [scRNA-seq]


title: K13_GNI2_P002 [scRNA-seq]


title: I20_GNI2_P002 [scRNA-seq]


title: J16_GNI2_P002 [scRNA-seq]


title: I17_GNI2_P002 [scRNA-seq]


title: I16_GNI2_P002 [scRNA-seq]


title: I15_GNI2_P002 [scRNA-seq]


title: I14_GNI2_P002 [scRNA-seq]


title: J17_GNI2_P002 [scRNA-seq]


title: K14_GNI2_P002 [scRNA-seq]


title: I13_GNI2_P002 [scRNA-seq]


title: H14_GNI2_P002 [scRNA-seq]


title: H16_GNI2_P002 [scRNA-seq]


title: J21_GNI2_P002 [scRNA-seq]


title: J20_GNI2_P002 [scRNA-seq]


title: J24_GNI2_P002 [scRNA-seq]


title: I24_GNI2_P002 [scRNA-seq]


title: I23_GNI2_P002 [scRNA-seq]


title: H21_GNI2_P002 [scRNA-seq]


title: I22_GNI2_P002 [scRNA-seq]


title: I21_GNI2_P002 [scRNA-seq]


title: G24_GNI2_P002 [scRNA-seq]


title: I19_GNI2_P002 [scRNA-seq]


title: H23_GNI2_P002 [scRNA-seq]


title: G19_GNI2_P002 [scRNA-seq]


title: I18_GNI2_P002 [scRNA-seq]


title: H15_GNI2_P002 [scRNA-seq]


title: G17_GNI2_P002 [scRNA-seq]


title: G16_GNI2_P002 [scRNA-seq]


title: G15_GNI2_P002 [scRNA-seq]


title: G14_GNI2_P002 [scRNA-seq]


title: H17_GNI2_P002 [scRNA-seq]


title: H18_GNI2_P002 [scRNA-seq]


title: H13_GNI2_P002 [scRNA-seq]


title: H20_GNI2_P002 [scRNA-seq]


title: H24_GNI2_P002 [scRNA-seq]


title: G22_GNI2_P002 [scRNA-seq]


title: F14_GNI2_P002 [scRNA-seq]


title: F15_GNI2_P002 [scRNA-seq]


title: G20_GNI2_P002 [scRNA-seq]


title: F16_GNI2_P002 [scRNA-seq]


title: F18_GNI2_P002 [scRNA-seq]


title: G18_GNI2_P002 [scRNA-seq]


title: F20_GNI2_P002 [scRNA-seq]


title: F23_GNI2_P002 [scRNA-seq]


title: E23_GNI2_P002 [scRNA-seq]


title: H19_GNI2_P002 [scRNA-seq]


title: E22_GNI2_P002 [scRNA-seq]


title: G21_GNI2_P002 [scRNA-seq]


title: F19_GNI2_P002 [scRNA-seq]


title: H22_GNI2_P002 [scRNA-seq]


title: F13_GNI2_P002 [scRNA-seq]


title: G13_GNI2_P002 [scRNA-seq]


title: E20_GNI2_P002 [scRNA-seq]


title: E15_GNI2_P002 [scRNA-seq]


title: E17_GNI2_P002 [scRNA-seq]


title: F22_GNI2_P002 [scRNA-seq]


title: E18_GNI2_P002 [scRNA-seq]


title: E16_GNI2_P002 [scRNA-seq]


title: D14_GNI2_P002 [scRNA-seq]


title: D16_GNI2_P002 [scRNA-seq]


title: E21_GNI2_P002 [scRNA-seq]


title: D13_GNI2_P002 [scRNA-seq]


title: E19_GNI2_P002 [scRNA-seq]


title: D15_GNI2_P002 [scRNA-seq]


title: D18_GNI2_P002 [scRNA-seq]


title: D19_GNI2_P002 [scRNA-seq]


title: D20_GNI2_P002 [scRNA-seq]


title: D17_GNI2_P002 [scRNA-seq]


title: E13_GNI2_P002 [scRNA-seq]


title: F21_GNI2_P002 [scRNA-seq]


title: D24_GNI2_P002 [scRNA-seq]


title: D21_GNI2_P002 [scRNA-seq]


title: D23_GNI2_P002 [scRNA-seq]


title: C24_GNI2_P002 [scRNA-seq]


title: C23_GNI2_P002 [scRNA-seq]


title: C22_GNI2_P002 [scRNA-seq]


title: C21_GNI2_P002 [scRNA-seq]


title: C20_GNI2_P002 [scRNA-seq]


title: C17_GNI2_P002 [scRNA-seq]


title: C18_GNI2_P002 [scRNA-seq]


title: C15_GNI2_P002 [scRNA-seq]


title: C13_GNI2_P002 [scRNA-seq]


title: C16_GNI2_P002 [scRNA-seq]


title: C14_GNI2_P002 [scRNA-seq]


title: B14_GNI2_P002 [scRNA-seq]


title: D22_GNI2_P002 [scRNA-seq]


title: B15_GNI2_P002 [scRNA-seq]


title: B17_GNI2_P002 [scRNA-seq]


title: B19_GNI2_P002 [scRNA-seq]


title: B22_GNI2_P002 [scRNA-seq]


title: B21_GNI2_P002 [scRNA-seq]


title: B23_GNI2_P002 [scRNA-seq]


title: B20_GNI2_P002 [scRNA-seq]


title: A24_GNI2_P002 [scRNA-seq]


title: A21_GNI2_P002 [scRNA-seq]


title: A17_GNI2_P002 [scRNA-seq]


title: A16_GNI2_P002 [scRNA-seq]


title: A19_GNI2_P002 [scRNA-seq]


title: A20_GNI2_P002 [scRNA-seq]


title: A18_GNI2_P002 [scRNA-seq]


title: B13_GNI2_P002 [scRNA-seq]


title: A14_GNI2_P002 [scRNA-seq]


title: A15_GNI2_P002 [scRNA-seq]


title: B18_GNI2_P002 [scRNA-seq]


title: P15_GNI3_P188 [scRNA-seq]

description:
#3 Non-inflamed
Gene_Raw_Count_Single_Cell_RNA-seq_Smart-seq2.txt


title: P16_GNI3_P188 [scRNA-seq]


title: A13_GNI2_P002 [scRNA-seq]


title: B24_GNI2_P002 [scRNA-seq]


title: A23_GNI2_P002 [scRNA-seq]


title: P18_GNI3_P188 [scRNA-seq]


title: P20_GNI3_P188 [scRNA-seq]


title: P13_GNI3_P188 [scRNA-seq]


title: O24_GNI3_P188 [scRNA-seq]


title: P22_GNI3_P188 [scRNA-seq]


title: P21_GNI3_P188 [scRNA-seq]


title: O23_GNI3_P188 [scRNA-seq]


title: O22_GNI3_P188 [scRNA-seq]


title: O20_GNI3_P188 [scRNA-seq]


title: O21_GNI3_P188 [scRNA-seq]


title: O19_GNI3_P188 [scRNA-seq]


title: P14_GNI3_P188 [scRNA-seq]


title: P17_GNI3_P188 [scRNA-seq]


title: O18_GNI3_P188 [scRNA-seq]


title: P19_GNI3_P188 [scRNA-seq]


title: O16_GNI3_P188 [scRNA-seq]


title: O15_GNI3_P188 [scRNA-seq]


title: O13_GNI3_P188 [scRNA-seq]


title: N13_GNI3_P188 [scRNA-seq]


title: N15_GNI3_P188 [scRNA-seq]


title: N23_GNI3_P188 [scRNA-seq]


title: N19_GNI3_P188 [scRNA-seq]


title: O14_GNI3_P188 [scRNA-seq]


title: M24_GNI3_P188 [scRNA-seq]


title: M21_GNI3_P188 [scRNA-seq]


title: N17_GNI3_P188 [scRNA-seq]


title: M20_GNI3_P188 [scRNA-seq]


title: N20_GNI3_P188 [scRNA-seq]


title: M19_GNI3_P188 [scRNA-seq]


title: N24_GNI3_P188 [scRNA-seq]


title: N21_GNI3_P188 [scRNA-seq]


title: M22_GNI3_P188 [scRNA-seq]


title: M18_GNI3_P188 [scRNA-seq]


title: M16_GNI3_P188 [scRNA-seq]


title: M23_GNI3_P188 [scRNA-seq]


title: N14_GNI3_P188 [scRNA-seq]


title: L13_GNI3_P188 [scRNA-seq]


title: M17_GNI3_P188 [scRNA-seq]


title: L14_GNI3_P188 [scRNA-seq]


title: L15_GNI3_P188 [scRNA-seq]


title: L17_GNI3_P188 [scRNA-seq]


title: L20_GNI3_P188 [scRNA-seq]


title: M15_GNI3_P188 [scRNA-seq]


title: M14_GNI3_P188 [scRNA-seq]


title: M13_GNI3_P188 [scRNA-seq]


title: N16_GNI3_P188 [scRNA-seq]


title: L24_GNI3_P188 [scRNA-seq]


title: L23_GNI3_P188 [scRNA-seq]


title: L22_GNI3_P188 [scRNA-seq]


title: L21_GNI3_P188 [scRNA-seq]


title: L19_GNI3_P188 [scRNA-seq]


title: K20_GNI3_P188 [scRNA-seq]


title: K15_GNI3_P188 [scRNA-seq]


title: K23_GNI3_P188 [scRNA-seq]


title: K16_GNI3_P188 [scRNA-seq]


title: K13_GNI3_P188 [scRNA-seq]


title: K14_GNI3_P188 [scRNA-seq]


title: K22_GNI3_P188 [scRNA-seq]


title: J16_GNI3_P188 [scRNA-seq]


title: J13_GNI3_P188 [scRNA-seq]


title: K17_GNI3_P188 [scRNA-seq]


title: J17_GNI3_P188 [scRNA-seq]


title: J14_GNI3_P188 [scRNA-seq]


title: J21_GNI3_P188 [scRNA-seq]


title: J18_GNI3_P188 [scRNA-seq]


title: J19_GNI3_P188 [scRNA-seq]


title: I23_GNI3_P188 [scRNA-seq]


title: K24_GNI3_P188 [scRNA-seq]


title: I24_GNI3_P188 [scRNA-seq]


title: L18_GNI3_P188 [scRNA-seq]


title: I18_GNI3_P188 [scRNA-seq]


title: I20_GNI3_P188 [scRNA-seq]


title: I19_GNI3_P188 [scRNA-seq]


title: I22_GNI3_P188 [scRNA-seq]


title: I21_GNI3_P188 [scRNA-seq]


title: I17_GNI3_P188 [scRNA-seq]


title: I14_GNI3_P188 [scRNA-seq]


title: I16_GNI3_P188 [scRNA-seq]


title: I15_GNI3_P188 [scRNA-seq]


title: J20_GNI3_P188 [scRNA-seq]


title: H22_GNI3_P188 [scRNA-seq]


title: H13_GNI3_P188 [scRNA-seq]


title: H23_GNI3_P188 [scRNA-seq]


title: J24_GNI3_P188 [scRNA-seq]


title: H24_GNI3_P188 [scRNA-seq]


title: G23_GNI3_P188 [scRNA-seq]


title: H18_GNI3_P188 [scRNA-seq]


title: H19_GNI3_P188 [scRNA-seq]


title: G21_GNI3_P188 [scRNA-seq]


title: H21_GNI3_P188 [scRNA-seq]


title: G24_GNI3_P188 [scRNA-seq]


title: G22_GNI3_P188 [scRNA-seq]


title: G18_GNI3_P188 [scRNA-seq]


title: H17_GNI3_P188 [scRNA-seq]


title: G20_GNI3_P188 [scRNA-seq]


title: F14_GNI3_P188 [scRNA-seq]


title: F13_GNI3_P188 [scRNA-seq]


title: F16_GNI3_P188 [scRNA-seq]


title: H16_GNI3_P188 [scRNA-seq]


title: G16_GNI3_P188 [scRNA-seq]


title: G17_GNI3_P188 [scRNA-seq]


title: G19_GNI3_P188 [scRNA-seq]


title: G15_GNI3_P188 [scRNA-seq]


title: G13_GNI3_P188 [scRNA-seq]


title: F19_GNI3_P188 [scRNA-seq]


title: F20_GNI3_P188 [scRNA-seq]


title: F23_GNI3_P188 [scRNA-seq]


title: F22_GNI3_P188 [scRNA-seq]


title: F24_GNI3_P188 [scRNA-seq]


title: E20_GNI3_P188 [scRNA-seq]


title: E23_GNI3_P188 [scRNA-seq]


title: E22_GNI3_P188 [scRNA-seq]


title: E19_GNI3_P188 [scRNA-seq]


title: E18_GNI3_P188 [scRNA-seq]


title: E17_GNI3_P188 [scRNA-seq]


title: E13_GNI3_P188 [scRNA-seq]


title: D13_GNI3_P188 [scRNA-seq]


title: E14_GNI3_P188 [scRNA-seq]


title: D14_GNI3_P188 [scRNA-seq]


title: D16_GNI3_P188 [scRNA-seq]


title: F18_GNI3_P188 [scRNA-seq]


title: D19_GNI3_P188 [scRNA-seq]


title: D20_GNI3_P188 [scRNA-seq]


title: D24_GNI3_P188 [scRNA-seq]


title: D23_GNI3_P188 [scRNA-seq]


title: C24_GNI3_P188 [scRNA-seq]


title: C22_GNI3_P188 [scRNA-seq]


title: C21_GNI3_P188 [scRNA-seq]


title: C23_GNI3_P188 [scRNA-seq]


title: C17_GNI3_P188 [scRNA-seq]


title: C15_GNI3_P188 [scRNA-seq]


title: E21_GNI3_P188 [scRNA-seq]


title: C20_GNI3_P188 [scRNA-seq]


title: C18_GNI3_P188 [scRNA-seq]


title: C14_GNI3_P188 [scRNA-seq]


title: B16_GNI3_P188 [scRNA-seq]


title: C19_GNI3_P188 [scRNA-seq]


title: C13_GNI3_P188 [scRNA-seq]


title: B17_GNI3_P188 [scRNA-seq]


title: B19_GNI3_P188 [scRNA-seq]


title: B14_GNI3_P188 [scRNA-seq]


title: B15_GNI3_P188 [scRNA-seq]


title: B18_GNI3_P188 [scRNA-seq]


title: B21_GNI3_P188 [scRNA-seq]


title: D18_GNI3_P188 [scRNA-seq]


title: B20_GNI3_P188 [scRNA-seq]


title: B22_GNI3_P188 [scRNA-seq]


title: A24_GNI3_P188 [scRNA-seq]


title: B24_GNI3_P188 [scRNA-seq]


title: A22_GNI3_P188 [scRNA-seq]


title: A21_GNI3_P188 [scRNA-seq]


title: A23_GNI3_P188 [scRNA-seq]


title: A14_GNI3_P188 [scRNA-seq]


title: A15_GNI3_P188 [scRNA-seq]


title: A16_GNI3_P188 [scRNA-seq]


title: P13_GNI3_P187 [scRNA-seq]


title: C16_GNI3_P188 [scRNA-seq]


title: P14_GNI3_P187 [scRNA-seq]


title: P16_GNI3_P187 [scRNA-seq]


title: P15_GNI3_P187 [scRNA-seq]


title: P17_GNI3_P187 [scRNA-seq]


title: P18_GNI3_P187 [scRNA-seq]


title: P21_GNI3_P187 [scRNA-seq]


title: O22_GNI3_P187 [scRNA-seq]


title: P20_GNI3_P187 [scRNA-seq]


title: O21_GNI3_P187 [scRNA-seq]


title: O16_GNI3_P187 [scRNA-seq]


title: O15_GNI3_P187 [scRNA-seq]


title: O13_GNI3_P187 [scRNA-seq]


title: O14_GNI3_P187 [scRNA-seq]


title: O20_GNI3_P187 [scRNA-seq]


title: O19_GNI3_P187 [scRNA-seq]


title: N14_GNI3_P187 [scRNA-seq]


title: A18_GNI3_P188 [scRNA-seq]


title: N17_GNI3_P187 [scRNA-seq]


title: A19_GNI3_P188 [scRNA-seq]


title: N18_GNI3_P187 [scRNA-seq]


title: A20_GNI3_P188 [scRNA-seq]


title: O23_GNI3_P187 [scRNA-seq]


title: N22_GNI3_P187 [scRNA-seq]


title: M19_GNI3_P187 [scRNA-seq]


title: M14_GNI3_P187 [scRNA-seq]


title: N23_GNI3_P187 [scRNA-seq]


title: M17_GNI3_P187 [scRNA-seq]


title: N20_GNI3_P187 [scRNA-seq]


title: M23_GNI3_P187 [scRNA-seq]


title: N21_GNI3_P187 [scRNA-seq]


title: M21_GNI3_P187 [scRNA-seq]


title: N19_GNI3_P187 [scRNA-seq]


title: M22_GNI3_P187 [scRNA-seq]


title: M20_GNI3_P187 [scRNA-seq]


title: N24_GNI3_P187 [scRNA-seq]


title: L13_GNI3_P187 [scRNA-seq]


title: L14_GNI3_P187 [scRNA-seq]


title: M13_GNI3_P187 [scRNA-seq]


title: L18_GNI3_P187 [scRNA-seq]


title: N16_GNI3_P187 [scRNA-seq]


title: L20_GNI3_P187 [scRNA-seq]


title: L21_GNI3_P187 [scRNA-seq]


title: L19_GNI3_P187 [scRNA-seq]


title: L24_GNI3_P187 [scRNA-seq]


title: K24_GNI3_P187 [scRNA-seq]


title: K23_GNI3_P187 [scRNA-seq]


title: K22_GNI3_P187 [scRNA-seq]


title: K21_GNI3_P187 [scRNA-seq]


title: M16_GNI3_P187 [scRNA-seq]


title: K19_GNI3_P187 [scRNA-seq]


title: K13_GNI3_P187 [scRNA-seq]


title: J16_GNI3_P187 [scRNA-seq]


title: J14_GNI3_P187 [scRNA-seq]


title: J23_GNI3_P187 [scRNA-seq]


title: J17_GNI3_P187 [scRNA-seq]


title: K20_GNI3_P187 [scRNA-seq]


title: L17_GNI3_P187 [scRNA-seq]


title: L23_GNI3_P187 [scRNA-seq]


title: I22_GNI3_P187 [scRNA-seq]


title: I23_GNI3_P187 [scRNA-seq]


title: I19_GNI3_P187 [scRNA-seq]


title: K17_GNI3_P187 [scRNA-seq]


title: J19_GNI3_P187 [scRNA-seq]


title: J24_GNI3_P187 [scRNA-seq]


title: K16_GNI3_P187 [scRNA-seq]


title: I24_GNI3_P187 [scRNA-seq]


title: J15_GNI3_P187 [scRNA-seq]


title: J21_GNI3_P187 [scRNA-seq]


title: I13_GNI3_P187 [scRNA-seq]


title: I16_GNI3_P187 [scRNA-seq]


title: I17_GNI3_P187 [scRNA-seq]


title: I14_GNI3_P187 [scRNA-seq]


title: H14_GNI3_P187 [scRNA-seq]


title: H15_GNI3_P187 [scRNA-seq]


title: H13_GNI3_P187 [scRNA-seq]


title: H16_GNI3_P187 [scRNA-seq]


title: H17_GNI3_P187 [scRNA-seq]


title: O17_GNI3_P187 [scRNA-seq]


title: H18_GNI3_P187 [scRNA-seq]


title: H19_GNI3_P187 [scRNA-seq]


title: H23_GNI3_P187 [scRNA-seq]


title: H21_GNI3_P187 [scRNA-seq]


title: G23_GNI3_P187 [scRNA-seq]


title: H24_GNI3_P187 [scRNA-seq]


title: G24_GNI3_P187 [scRNA-seq]


title: G20_GNI3_P187 [scRNA-seq]


title: H20_GNI3_P187 [scRNA-seq]


title: H22_GNI3_P187 [scRNA-seq]


title: G19_GNI3_P187 [scRNA-seq]


title: F15_GNI3_P187 [scRNA-seq]


title: F22_GNI3_P187 [scRNA-seq]


title: F14_GNI3_P187 [scRNA-seq]


title: G13_GNI3_P187 [scRNA-seq]


title: G22_GNI3_P187 [scRNA-seq]


title: G16_GNI3_P187 [scRNA-seq]


title: G15_GNI3_P187 [scRNA-seq]


title: F16_GNI3_P187 [scRNA-seq]


title: F19_GNI3_P187 [scRNA-seq]


title: F21_GNI3_P187 [scRNA-seq]


title: F17_GNI3_P187 [scRNA-seq]


title: F18_GNI3_P187 [scRNA-seq]


title: F13_GNI3_P187 [scRNA-seq]


title: F20_GNI3_P187 [scRNA-seq]


title: F23_GNI3_P187 [scRNA-seq]


title: E23_GNI3_P187 [scRNA-seq]


title: G18_GNI3_P187 [scRNA-seq]


title: E22_GNI3_P187 [scRNA-seq]


title: G21_GNI3_P187 [scRNA-seq]


title: G14_GNI3_P187 [scRNA-seq]


title: E21_GNI3_P187 [scRNA-seq]


title: E18_GNI3_P187 [scRNA-seq]


title: E17_GNI3_P187 [scRNA-seq]


title: E16_GNI3_P187 [scRNA-seq]


title: E20_GNI3_P187 [scRNA-seq]


title: E19_GNI3_P187 [scRNA-seq]


title: E15_GNI3_P187 [scRNA-seq]


title: D13_GNI3_P187 [scRNA-seq]


title: E14_GNI3_P187 [scRNA-seq]


title: E13_GNI3_P187 [scRNA-seq]


title: D15_GNI3_P187 [scRNA-seq]


title: D14_GNI3_P187 [scRNA-seq]


title: D20_GNI3_P187 [scRNA-seq]


title: D21_GNI3_P187 [scRNA-seq]


title: D19_GNI3_P187 [scRNA-seq]


title: D17_GNI3_P187 [scRNA-seq]


title: D24_GNI3_P187 [scRNA-seq]


title: D18_GNI3_P187 [scRNA-seq]


title: C24_GNI3_P187 [scRNA-seq]


title: C22_GNI3_P187 [scRNA-seq]


title: C21_GNI3_P187 [scRNA-seq]


title: HMMR Tg/Tg Brca1f/f Trp53+/- mouse 11

city: Barcelona

first: Miguel Angel

last: Pujana

address: Gran Via 199

country: Spain

institute: Institut Catala d'Oncologia IDIBELL

data_processing:
Ion Torrent  S5-0185 software used for basecalling.
The RNA sequencing reads were trimmed for adaptors, masked for low-complexity or low-quality sequence, and subsequently mapped to the mouse genome (mm10) using Ion Torrent ampliSeqRNA plugin
The CHP files were further processed using the Transcriptome Analysis Console (TAC) (version 4.0.1 and subsequent releases)
Gene expression was quantified by as transcripts per million (TPM).
Genome_build: mm10
Supplementary_files_format_and_content: log2 TPM data matrix of gene expression.

organism: Mus musculus

source_name: Premaglinant mammary tissue

growth_protocol: Contralateral mammary glands from age-matched mice of both geneotypes were fixed in formalin and embedded in paraffin

extract_protocol:
Total RNA from FFPE tissues  was extracted using the AllPrep DNA/RNA FFPE kit from QIAGEN (Catalog no. 80234) and RNA quality was assessed by Agilent 2100 Bioanalyzer (Agilent Technologies).
RNA libraries were prepared for sequencing using standard Ion Chef System protocols

treatment_protocol: Basal conditions.

tag: tissue

value: Mammary glands

tag: sample type

value: Contralateral


title: tagcounts_benchmark_plasmid_run2

city: Bar Harbor

first: Kousuke

last: Mouri

state: ME

address: 600 Main Street

country: USA

institute: The Jackson Laboratory

data_processing:
Library strategy: MPRA
Sequences were processed through MPRAduo pipeline (https://github.com/tewhey-lab/MPRAduo).
Supplementary_files_format_and_content: Processed data files contain raw count tables for barcode tag.

molecule: other

organism: synthetic construct

source_name: plasmid vector

growth_protocol: 37C with 5% CO2 supplementation

extract_protocol:
Total RNA was purified by using Maxi RNeasy (QIAGEN) from homogenized cells. Then GFP mRNA was isolated by using biotinilated primers and magnetic beads followd by cDNA synthesis.
Libraries were initially amplified from cDNA or plasmid, and then secondarily amplified and added P5 and P7 tag sequences.

treatment_protocol: Cells were electroporated by using NEON transfection system and recovered in culture medium for 24 hours.

tag: cell line

tag: library

value: benchmark

tag: molecule

value: plasmid


title: tagassociations_WGREST


title: C20_GNI3_P187 [scRNA-seq]


title: HMMR Tg/Tg Brca1f/f Trp53+/- mouse 9


title: C19_GNI3_P187 [scRNA-seq]


title: HMMR Tg/Tg Brca1f/f Trp53+/- mouse 8


title: C18_GNI3_P187 [scRNA-seq]


title: C17_GNI3_P187 [scRNA-seq]


title: Brca1f/f Trp53+/- mouse 3


title: C23_GNI3_P187 [scRNA-seq]


title: tagcounts_benchmark_plasmid_run1


title: C16_GNI3_P187 [scRNA-seq]


title: Brca1f/f Trp53+/- mouse 1


title: C14_GNI3_P187 [scRNA-seq]


title: B15_GNI3_P187 [scRNA-seq]


title: B13_GNI3_P187 [scRNA-seq]


title: C13_GNI3_P187 [scRNA-seq]


title: B21_GNI3_P187 [scRNA-seq]


title: B17_GNI3_P187 [scRNA-seq]


title: B20_GNI3_P187 [scRNA-seq]


title: B16_GNI3_P187 [scRNA-seq]


title: A19_GNI3_P187 [scRNA-seq]


title: A20_GNI3_P187 [scRNA-seq]


title: A18_GNI3_P187 [scRNA-seq]


title: A22_GNI3_P187 [scRNA-seq]


title: HMMR Tg/Tg Brca1f/f Trp53+/- mouse 7


title: A17_GNI3_P187 [scRNA-seq]


title: PC3shTIMP1_Docetaxel_s63845

city: Bellinzona

first: Andrea

last: Alimonti

address: Via vela 6

department: Molecular Oncology

country: Switzerland

institute: Institute of oncology research

data_processing:
Single-Cell Sequencing data preprocessing and quality control. Sequencing data were processed by CellRange (version 6.0.0) and reads were aligned to human genome (GRCh38) with STAR(v.2.5.1b).
To reduce the ‘dropout’ phenomenon, RMagic package was used on gene-counts66. For each cell, we calculated different quality measures: percent of mitochondrial genes, number of genes and gene biotype. We removed cells that had more than 25% expression on mitochondrial genes, fewer than 100 total genes expressed and we considered only protein coding genes defined using getBM (biomaRt package). All the samples were integrated using Seurat package (FindIntegrationAnchors and IntegrateData function after library-size normalization of each cell using NormalizeData function with default parameters).
The analysis were performed after regression of nCount_RNA and nFeature_RNA features, due to differences between the samples.
Genome_build: GRCh38
Supplementary_files_format_and_content: tab-delimited text files  after regression
Supplementary_files_format_and_content: Matrix table with raw gene counts for every gene and every sample

source_name: GFP + sorted cells

extract_protocol:
Xenograft tumors were isolated, minced and processed for single cell suspension. Tissues were digested in 2 ml of Digestion Buffer composed by RPMI 10% FBS + 1% P/S, 500 mL of Collagenase D (1 mg/mL), 50mL of DNAse (100 U/mL) and 125mL of HEPES (25 mM). The cell suspension was incubated for 50 minutes at 37°C on a rocker. Then, the digestion was stopped adding 1 mL of RPMI 10% FBS + 1% P/S. The cells suspension was filtered through a 100 sm cell strainer and kept on ice for 4 minutes. Then cells suspension was filtered again through a 40 mm cell strainer and spun down at 1500 rpm for 5 min at 4°C. PC3 shTIMP1 were sorted thanks to GFP positivity.
Single-cell transcriptomes was performed using 10X Chromium single cell platform (10X Genomics, Pleasanton, CA. USA). Cells were suspended in a phosphate buffer solution containing 0.04% weight/volume bovine serum albumin (BSA). The recommended volume of single cell suspension was loaded on a Chromium Single Cell Controller (10x Genomics) targeting ~10000 cells per murine prostate samples while for xenografts tumors we used a target cell recovery between 5000 and 10000 cells per sample. Bar- coded single-cell gel beads in emulsion (GEMs) were created by 10x Genomics! Chromium TM and then reverse transcribed to generate single-cell RNA-seq libraries using Chromium Single Cell 3’ Library and Gel Bead Kit v2 (10X Genomics) according to manufacturer’s instructions. Resulting short fragment libraries were checked for quality and quantity using an Agilent 2100 Bioanalyzer and Invitrogen Qubit Fluorometer. Unique molecular identifiers (UMIs), which were incorporated into the 5’ end of cDNA during reverse transcription, were used to quantify the exact number of transcripts in a cell.
single cell RNA-Seq

tag: strain

value: NRG

value: prostate

tag: treatment


title: Brca1f/f Trp53+/- mouse 2


title: ILC1_73 [bulk ATAC-seq]

data_processing:
Pair-end reads were trimmed for low quality bases and removal of low-quality reads using ReadTools
Trimmed reads were mapped to the Homo sapiens genome (GRCh37.87 assembly) using STAR (v2.5.3a) mapper
The reads mapped in multiple genomic locations were eliminated by using Samtools (v1.4)
Read counts for features (exons) were generated using the featureCounts function from the Subread package (v 1.5.3)
For ATAC-seq low quality peaks such as blacklisted peaks were eliminated.
Genome_build: hg19
Supplementary_files_format_and_content: Raw gene count matrix was generated using featureCounts function from the Subread package (v 1.5.3) with Ensembl Known Gene models (version GRCh37.87) as reference annotations
Supplementary_files_format_and_content: ATAC-seq peaks were identified by using the HOMER tool

source_name: Tonsil

extract_protocol:
Isolation of tonsil mononuclear cells: Tonsillar mononuclear cells (MNCs) were extracted by cutting the tonsil tissue into small pieces and rinsing with PBS (Sigma), followed by LymphoprepTM gradient centrifugation.
For bulk RNA-seq, the Takara kit SMART-seq v4 Ultra Low Input RNA was used, following the manufacturer’s instructions with slight modifications according to our sample requirements. We sorted 500 cells (=1.5ul) of the desired subsets on 13.5 µL of lysis buffer (8 µL of water and 1 ul of 10x Reaction buffer, making a total volume of 10.5 µL after sorting, following protocol’s recommendations). Subsequently, we modified the protocol by immediately adding to the mix 2 µL of 3´SMART-seq CDS Primer II A (12uM), described in the next step of the official protocol, and samples were frozen overnight at -80°C to ensure better lysis of the cells. The next day, samples were immediately incubated for 3 min at 72°C prior to the reverse transcription described in the SMART-seq v4 Ultra Low Input RNA, avoiding RNA degradation and obtaining better amplifications and quality of the final cDNA. No further modifications were applied to the subsequent protocol and validation was made using the Agilent 2100 Bioanalyser. Library preparation was performed using the Illumina Nextera DNA library Preparation kit with cDNA tagmentation (Illumina) and pooling dual-indexed libraries for dual-indexed sequencing (Nextera XT Index Kit, Illumina). Samples were sequenced on a NextSeq500 sequencer (Illumina).
Assay for Transposase-Accessible Chromatin using sequencing, was performed as previously described (43), followed by sample purification and library preparation as described in Buenrostro et al. 2013 and Buenrostro et al. 2013 (24, 44). Approximately 10 000 sorted cells were pelleted and resuspended in 50 µL cold ATAC-RSB, containing 0,1% NP40, 0,1% Tween-20 and 0,01% Digitonin (43). After a 3 min incubation on ice, 1 mL of cold ATAC-RSB containing 0,1% Tween-20 was added to wash out the lysis (43). Nuclei were pelleted and resuspended in 50 µL of transposition mixture (43). The reaction was incubated at 37°C for 30 min in a thermomixer with 1000 rpm mixing. To clean up the reaction we used the MinElute PCR Purification Kit  and elute in 20 µL water.

tag: gender

value: male

value: Tonsil


title: PC3shTIMP1_Docetaxel_ABT263


title: ILC1_69 [bulk ATAC-seq]


title: B24_GNI3_P187 [scRNA-seq]


title: PC3shTIMP1_Docetaxel

value: Docetaxel


title: B22_GNI3_P187 [scRNA-seq]


title: C15_GNI3_P187 [scRNA-seq]


title: B23_GNI3_P187 [scRNA-seq]


title: ILC2_72 [bulk ATAC-seq]


title: ILC2_73 [bulk ATAC-seq]


title: ILC1_44 [bulk ATAC-seq]


title: NKP44_72 [bulk ATAC-seq]


title: ILC2_44 [bulk ATAC-seq]


title: ILC2_69 [bulk ATAC-seq]


title: NKP44_69 [bulk ATAC-seq]


title: NKP44_73 [bulk ATAC-seq]


title: A21_GNI3_P187 [scRNA-seq]


title: NN_73 [bulk ATAC-seq]


title: NKP44_44 [bulk ATAC-seq]


title: NN_45 [bulk ATAC-seq]


title: NN_72 [bulk ATAC-seq]


title: NN_44 [bulk ATAC-seq]


title: NN_69 [bulk ATAC-seq]


title: ILC1_72 [bulk ATAC-seq]


title: PN_72 [bulk ATAC-seq]


title: PN_69 [bulk ATAC-seq]


title: PN_45 [bulk ATAC-seq]


title: NKP44_45 [bulk ATAC-seq]


title: PN_44 [bulk ATAC-seq]


title: PP_73 [bulk ATAC-seq]


title: PP_69 [bulk ATAC-seq]


title: PP_72 [bulk ATAC-seq]


title: PP_44 [bulk ATAC-seq]


title: ILC2_102 [bulk RNA-seq]

description: processed data file: Gene_Raw_Count_Bulk_RNA-seq.txt


title: PN_73 [bulk ATAC-seq]


title: ILC2_276 [bulk RNA-seq]


title: ILC2_100 [bulk RNA-seq]

value: female


title: ILC1_104 [bulk RNA-seq]


title: ILC1_276 [bulk RNA-seq]


title: ILC1_102 [bulk RNA-seq]


title: ILC2_104 [bulk RNA-seq]


title: NKP44_100 [bulk RNA-seq]


title: NKP44_276 [bulk RNA-seq]


title: ILC1_100 [bulk RNA-seq]


title: NN_276 [bulk RNA-seq]


title: NKP44_104 [bulk RNA-seq]


title: NN_102 [bulk RNA-seq]


title: NKP44_102 [bulk RNA-seq]


title: PN_104 [bulk RNA-seq]


title: HMMR Tg/Tg Brca1f/f Trp53+/- mammary tumor 8

data_processing:
Illumina Casava1.7 software used for basecalling.
The RNA sequencing reads were trimmed for adaptors, masked for low-complexity or low-quality sequence, and subsequently mapped to the mouse genome using STAR (version 2.4.0f1)
The SAM/BAM files were further processed using the SAMtools (version 0.1.18) and read count quantitations were obtained using BEDTools multicov (version 2.25.0).
Gene expression was quantified by as transcripts per million (TPM).
Genome_build: mm9
Supplementary_files_format_and_content: TPM data matrix of gene expression.

source_name: Bulk mammary tumor tissue

growth_protocol: Mammary tumors from age-matched mice of both genotypes frozen -80C.

extract_protocol:
Total RNA from tumor tissue lines was extracted using the RNeasy kit (Qiagen) and RNA quality was assessed by Agilent 2100 Bioanalyzer (Agilent Technologies).
RNA libraries were prepared for sequencing using standard Illumina TruSeq protocols

value: Mammary tumor tissue

tag: genotype

value: HMMR Tg/Tg Brca1f/f Trp53+/-


title: NN_104 [bulk RNA-seq]


title: PN_102 [bulk RNA-seq]


title: PN_276 [bulk RNA-seq]


title: NN_100 [bulk RNA-seq]


title: HMMR Tg/Tg Brca1f/f Trp53+/- mammary tumor 7


title: HMMR Tg/Tg Brca1f/f Trp53+/- mammary tumor 6


title: PN_100 [bulk RNA-seq]


title: HMMR Tg/Tg Brca1f/f Trp53+/- mammary tumor 5


title: Brca1f/f Trp53+/- mammary tumor 4

value: Brca1f/f Trp53+/-


title: PP_100 [bulk RNA-seq]


title: PP_102 [bulk RNA-seq]


title: PP_104 [bulk RNA-seq]


title: Brca1f/f Trp53+/- mammary tumor 3


title: tagassociations_benchmark


title: Brca1f/f Trp53+/- mammary tumor 1


title: Brca1f/f Trp53+/- mammary tumor 2


title: s8

city: Bethesda

first: Martina

last: Absinta

state: MD

address: 10 Center Drive MSC 1400

department: NINDS

institute: NIH

data_processing:
CellRanger software was implemented for library demultiplexing, barcode processing, fastq file generation, gene alignment to the human genome (pre-mRNA GRCh38-3.0 human genome), and unique molecular identifier (UMI) counts.
Genome_build: pre-mRNA GRCh38-3.0 human genome
Supplementary_files_format_and_content: Comma-separated values files containing read counts for each gene by nucleus in matrix format.

source_name: Brain

extract_protocol:
Snap-frozen autopsy human brain tissue sampling used a 3mm-punch biopsy tool and a cold blade. Nuclei extraction from snap-frozen human autopsy brains was performed according to the following protocol. On wet ice, the frozen, dissected tissue was lysed using a Dounce homogenizer (10 strokes with the loose pestle followed by 20 strokes with the tight pestle) in 600-μl of freshly made cold lysis buffer (low sucrose buffer, Triton X-100 20%, Rnase inhibitor 40U/μl). Part of the homogenate (200 μl) was collected for bulk RNA extraction (Qiagen RNAeasy kit) and stored at -80°C for future applications. The remaining homogenate was filtered through a 40-μm cell strainer for nuclei extraction with 4-ml of low sucrose buffer (0.64M sucrose, HEPES pH8, CaCl2, MgAc, EDTA, DTT, nuclease-free water). Sonication of the homogenate was performed for 10 sec. To remove cellular and myelin debris, a sucrose gradient (12-ml of high sucrose buffer [2M sucrose, HEPES pH8, MgAc, DTT, nuclease-free water] underneath the low sucrose buffer) was centrifuged at 3,200 g for 30 minutes, and the supernatant was discarded. Nuclei were resuspended in 1-ml resuspension solution (PBS, 5% BSA and RNAse inhibitor 40U/μl) and centrifuged for 12-min at 3,200 g. Nuclei were again resuspended in 50-μl cold resuspension solution. Nuclei were counted using trypan blue and a haemocytometer under bright field. A yield of 700–1,200 nuclei/μl per sample was targeted.
Immediately after extraction, 5,000 nuclei/sample were loaded onto a Chromium Single Cell 3′ Chip (10X Genomics) and processed for the single-nucleus cDNA library preparation (Chromium Single Cell 3’ version 3, 10X Genomics) according to the manufacturer’s instructions without modifications.
Chromium Single Cell 3’ version 3, 10X Genomics

tag: clinical phenotype

value: non-neurological control


title: PP_276 [bulk RNA-seq]


title: s7

value: progressive multiple sclerosis


title: s6


title: s5


title: sj_dcr1_2_ChIP_Seq_H3

city: Edinburgh

first: Elizabeth

middle: H

last: Bayne

address: Alexander Crum Brown Road

department: Institute of Cell Biology

country: United Kingdom

institute: University of Edinburgh

library_source: genomic

data_processing:
Raw reads were filtered for quality and adapter using Trim Galore! (v0.4.3.1), reads that became shorter than 20nt were discarded
Trimmed reads were aligned to the S. japonicus reference genome (SJ5) using Bowtie2 (v2.3.4.3)
Coverage bigWig files were generated for each sample using bamCoverage (v3.3.2.0.0). RPKM was used for normalisation with a bin size of 50bp.
Ratios IP/Input were calculated using bigwigCompare (v3.3.2.0.0)
Ratios [H3K9/Input]/[H3/Input] were calculated using bigwigCompare (v3.3.2.0.0)
Genome_build: GCA_000149845.2
Supplementary_files_format_and_content: bedgraph files plotting the ratio of [H3K9me2/Input]/[H3/Input] for each sample

molecule: genomic DNA

organism: Schizosaccharomyces japonicus

source_name: S. japonicus cell culture

growth_protocol: Cells were grown in YES at 32C

extract_protocol:
Cells were lysed using a bead beater (Biospec products) for 4 x 2min, and lysates were sonciated using a Bioruptor twin (Diagenode) for 7 x 4min cycles (30 secs on/30 secs off on 'high' power). Samples were pre-cleared with Protein-G Agarose for 1 hour, then incubated with fresh Protein-G agarose and antibody overnight.  Beads were washed, then crosslinks were reveresed at 65°C, before contaminating RNA was removed using RNaseA. Proteins were digested with Proteinase K and immuniprecipatated genomic DNA was recovered using PCR purifcation columns (Qiagen).
Libraries were constructed using the NEBNext Library Prep Master Mix Set (NEB) according to manufacturer's instructions

treatment_protocol: Cells were fixed with 1% formaldehyde for 15 min at room temperature

value: h- mat-P2028 dcr1-dis::natMX6 mpe1-R77W ura4-D3 ade6(sj)-domE

tag: chip antibody


title: s4


title: s3


title: sj_dcr1_2_ChIP_Seq_H3K9me2


title: PDAC_2

type: RNA

city: Marseille

first: Quentin

last: Da Costa

address: 232 boulevard de Sainte Marguerite

country: France

institute: Institut Paoli-Calmettes

hyb_protocol: Fifteen micrograms of fragmented cRNA were hybridized for 16 hrs at 45°C under constant rotation. After hybridization, chips were processed using the Affymetrix GeneChip Fluidic Station 450 (protocol FS450_0007). Staining was made with streptavidin-conjugated phycoerythrin (SAPE, Molecular Probes), followed by amplification with a biotinylated anti17 streptavidin antibody (Vector Laboratories), and followed by a second round of SAPE.

scan_protocol: Chips were scanned with a GeneChip scanner 3000 G7 (Affymetrix)

data_processing: The data were normalized using the Bioconductor package oligo, with the function rma() (default settings).

label: biotin

source_name: PDAC, sample 2

label_protocol: Total mRNA was RNase H reduced and labelled with the SuperScript One-Cycle cDNA Kit following manufacturer's instructions (Invitrogen).

extract_protocol: Chirgwin's extraction of total RNA (Chirgwin JM et al., 1979) performed on fresh tissues.

treatment_protocol: No treatment.

value: pancreatic ductal adenocarcinoma tumor

value: Pdx1-Cre; Ink4a/Arffl/fl; LSL-KrasG12D

value: Male

tag: age

value: 6 weeks-old


title: Control_pancreas_3

source_name: Control pancreas, sample 3

value: pancreas

value: Ink4a/Arffl/fl; LSL-KrasG12D


title: Control_pancreas_5

source_name: Control pancreas, sample 5


title: PDAC_8

source_name: PDAC, sample 8


title: control_3

city: Linköping

first: Johannes

middle: Artiaga

last: Gubat

address: Ing. 68 Campus US. Linköpings Universitet

department: Biomedical and Clinical Sciences

institute: Linköping university

hyb_protocol: 500nM if RBA was processed for microarray analysis using GeneChip WT PLUS reagent according to manufacturer instructions. The prepared RNA was hybridized to GeneChip HuGene 2.0 ST chips for 16 h using the GeneChip Hybridization Oven 645, washed and stained using the GeneChip Fluidics Station 450 using the FS450_0002 protocol

scan_protocol: The chip was scanned with a GeneChip Scanner 3000 7G

data_processing:
The affymetrix arrays were analyzed using the R packages oligo, affycoretools, ggplot2 and limma. For the annotation, the pd.hugene.2.0.st chip annotation package was used. Background correction, normalization, and summarization was done using a deconvolution method for background correction, quantile normalization and the RMA algorithm for summarization.
HuGene-2_0-st.pgf
HuGene-2_0-st.mps

source_name: MCF7 cells

growth_protocol: Cells were cultured in Minimum Essential Medium Eagle with 1mM sodium pyruvate supplemented with 10% fetal calf serum. Cells were maintained in a humidified incubator at 37C and 5% CO2

extract_protocol: Cells were lysed and the RNA was extracted using Rneasy Plus Mini Kit

treatment_protocol: Cells were treated with either DMSO or one of the treatment compounds for 6 hours at 37C at a concentration of 2x IC50 as determined by an MTT assay

tag: tissue type

value: ER + breast cancer

tag: agent

value: DMSO 0.5 percent


title: 688_1

value: CB688 2.5microM


title: PDAC_7

source_name: PDAC, sample 7


title: Control_pancreas_4

source_name: Control pancreas, sample 4


title: control_1


title: sj_dcr1_1_ChIP_Seq_H3K9me2


title: sj_dcr1_2_ChIP_Seq_Input

value: Input


title: PDAC_6

source_name: PDAC, sample 6


title: PDAC_5

source_name: PDAC, sample 5


title: Control_pancreas_1

source_name: Control pancreas, sample 1


title: s1


title: sj_dcr1_1_ChIP_Seq_Input


title: PDAC_4

source_name: PDAC, sample 4


title: PDAC_1

source_name: PDAC, sample 1


title: Control_pancreas_2

source_name: Control pancreas, sample 2


title: bAP15_2

value: b-AP15 1microM


title: bAP15_3


title: PDAC_3

source_name: PDAC, sample 3


title: sj_dcr1_1_ChIP_Seq_H3


title: 688_3


title: 688_2


title: sj_wt_2_ChIP_Seq_H3

value: h- mat-P2028 ura4-D3 ade6(sj)-domE


title: BCM3392Vs019

city: Vitry-sur-Seine

first: Emmanuel

last: Spanakis

address: 1 Imp. des Ateliers

department: Oncology

institute: Sanofi

description:
5% glucose till ~300mm3 then + doxyxycline for 216h before sampling
BCM3392 AN1469 MSTO211H shYAP1 processed.txt

data_processing:
STAR aligner
Cufflink
Genome_build: GRCh38
Supplementary_files_format_and_content: Matrix table with FPKM values for every gene and every sample

source_name: Malignant pleural mesothelioma

growth_protocol: Human malignant mesothelioma MSTO-211H cells transfected with a doxycycline-dependent sh-YAP1 construct were inoculated subcutaneously at a 3 × 106 cells dose mixed with Matrigel. Implanted tumors were allowed to growth up to 300 mm3 under glucose supplementation and were sampled just before doxycycline supplementation (time 0, n=5), or after 24 (n=5), 96 (n=5) or 216 hours (n=4) of doxycycline supplementation (time points 1 to 3, respectively). Tumor perpendicular diameters were measured twice a week with a caliper, and tumor volume (V) was calculated according to the following equation: V (mm3) = (d2 (mm2) x D (mm))/2, where d is the smallest, and D the largest perpendicular tumor diameters.

extract_protocol:
Fresh tumors were preserved in RNAlater and frozen at -200°C. Copurification of miRNA and total RNA was performed using a miRNeasy Mini Kit (QIAGEN, 217004). The RNA concentration and purity were evaluated with an ND-1000 spectrophotometer (NanoDrop, Thermo Fisher Scientific, Wilmington, DE, USA). Quality metrics were the RNA Integrity Number (RIN) and DV200 value (% of RNA fragments with a length ≥200nt). 100 ng total RNA per sample was used as input material for the library preparation.
100 ng total RNA per sample was used as input material for the library preparation. The libraries were prepared with the KAPA RNA HyperPrep Kit (Kapa Biosystems, KK8541) and KAPA Target Enrichment using the Kapa HyperCap V3.0 kit for Illumina following the manufacturer’s recommendations.
Second-strand sequencing of the libraries was performed using the NuGEN (San Carlos, CA, USA) RNA-Seq System

treatment_protocol: Mice were divided into groups. Each group received drinking water supplemented with either doxycycline (0.5mg/ml) and 5% glucose or with 5% glucose only.

tag: cell type

value: sh-YAP1 transfected cell line in SCID mouse

tag: compound

value: glucose + doxyxycline

value: MSTO-211H [sh-YAP1]

tag: time point


title: BCM3392Vs018


title: sj_wt_1_ChIP_Seq_H3


title: sj_wt_2_ChIP_Seq_Input


title: s2

source_name: Brain

value: progressive multiple sclerosis


title: sj_wt_1_ChIP_Seq_H3K9me2

source_name: S. japonicus cell culture


title: 360_3

value: CB360 10microM


title: sj_dcr1_RNA_Seq_3

data_processing:
Raw reads were filtered for quality and adapter using Trim Galore! (v0.4.3.1), reads that became shorter than 20nt were discarded
Trimmed reads were aligned to the S. japonicus reference genome (SJ5) using STAR (v2.7.2b)
Read counts were obtained using featureCounts (v2.0.1) with settings -M --fraction
Differential expression analysis was carried out using edgeR (v3.34.0)
Coverage bedgraph files were generated using bamCoverage (v3.3.2.0.0). RPKM was used for normalisation with a bin size of 50bp. Separate files were generated for the forward and reverse strand mapping reads using the filterRNAstrand option.
bigwigCompare was used to generate the bedgraph file showing the log2 ratio of reads between the dcr1 mutant and the wild type
Genome_build: GCA_000149845.2
Supplementary_files_format_and_content: Tab-delimited text file detailing the logFC, logCPM, F-statistic, p-value and FDR for all genes in S. japonicus in the dcr1 mutant vs wild type
Supplementary_files_format_and_content: bedgraph files plotting read coverage for the forward and reverse strand individually for each individual sample
Supplementary_files_format_and_content: bedgraph file plotting the log2 ratio of reads between the dcr1 mutant and the wild type

extract_protocol:
Total RNA was extracted from 2ml of cells at OD595 = 0.8-1.0 using the Masterpure Yeast RNA Purification Kit (Epicentre) according to manufacturer's instructions.
Libraries were constructed using Illumina TruSeq stranded mRNA library preparation kit according to manufacturer’s instructions.

value: h- mat-P2028 dcr1-dis::natMX6 mpe1-R77W ura4-D3 ade6(sj)-domE


title: sj_wt_RNA_Seq_2


title: sj_wt_1_ChIP_Seq_Input


title: sj_dcr1_RNA_Seq_1


title: bAP15_1


title: BCM3392Vs016


title: BCM3392Vs015

description:
5% glucose till ~300mm3 then + doxyxycline for 96h before sampling
BCM3392 AN1469 MSTO211H shYAP1 processed.txt


title: BCM3392Vs017


title: sj_dcr1_RNA_Seq_2


title: sj_wt_RNA_Seq_1


title: sj_wt_RNA_Seq_3


title: control_2


title: BCM3392Vs013


title: 997_3

value: CB997 10microM


title: 360_1


title: 360_2


title: DU145_TEAD1_ChIP

city: New York

first: Yu

last: Chen

state: NY

address: 1275 York Ave, Box 20

department: Human Oncology and Pathogenesis Program

institute: Memorial Sloan Kettering Cancer Center

data_processing:
ENCODE ChIP-seq pipeline (https://github.com/ENCODE-DCC/chip-seq-pipeline2).
The signal files were normalized using bamCoverage by BPM
Genome_build: GRCh37 (hg19)
Supplementary_files_format_and_content: bigwig

source_name: DU145 Prostate Cancer Cells

growth_protocol: DU145 cells (ATCC HTB-81) were maintained in RPMI medium supplemented with 10% fetal bovine serum and 1% pen/strep.

extract_protocol:
Chromatin was isolated from log phase growing cells, followed by FOSL1 , YAP, TAZ , and TEAD1 ChIP using antibodies.
ChIP-Seq libraries were prepared using the KAPA HTP Library Prep kit at the Integrative Genomics Operation (IGO) at MSKCC.

tag: primary site

value: Prostate

value: TEAD1 (BD Biosciences #610922)


title: DU145_YAP_ChIP

value: YAP (Abcam #ab52771)


title: BCM3392Vs014


title: DU145_FOSL1_ChIP

value: FOSL1 (Cell Signaling #5281S)


title: DU145_TAZ_ChIP

value: TAZ (Sigma Aldrich #HPA007415)


title: BCM3392Vs011


title: MSK-PCa3_YAP_ChIP

source_name: MSK-PCa3 Prostate Cancer Organoid Line

growth_protocol: MSK-PCa3 prostate cancer organoid cells were maintained in human organoid media as described previously (PMID: 25201529, 26797458).


title: MSK-PCa3_TEAD1_ChIP


title: DU145_Input


title: MSK-PCa3_TAZ_ChIP


title: MSK-PCa3_Input


title: BCM3392Vs009

description:
5% glucose till ~300mm3 then + doxyxycline for 24h before sampling
BCM3392 AN1469 MSTO211H shYAP1 processed.txt


title: MSK-PCa3_FOSL1_ChIP


title: 997_2

value: ER + breast cancer


title: BCM3392Vs012


title: BCM3392Vs007


title: 997_1


title: BCM3392Vs005

description:
5% glucose till ~300mm3 and sampling
BCM3392 AN1469 MSTO211H shYAP1 processed.txt

value: glucose


title: 916_2

value: CB916 5microM


title: 826_1

value: CB826 2.5microM


title: 916_3


title: 826_3


title: BCM3392Vs004


title: 916_1


title: 1420-6-18

city: Worcester

first: John

last: Landers

state: MA

address: 55 N Lake Ave

institute: UMass Chan Medical School

description: DIV15 untreated KIF5A mutant iMNs

data_processing:
Sequence reads were trimmed for adaptor sequence and other data cleaning were performed using bbmap pipeline with bbduk.sh script.
The cleaned reads were mapped with Gencode "GRCh38.primary_assembly.genome.fa" reference.
Strandedness was calculated with rseqc tool using infer_experiment.py module
HTSeq was used to extract the numbers of reads per transcript using stranded parameter and further analysis was done with DESeq2
Genome_build: GRch38
Supplementary_files_format_and_content: tab-delimited test file inclue HTSeq raw counts for each transcript in different samples
Supplementary_files_format_and_content: DESeq2 results in matrix format

source_name: iMNs

growth_protocol: SKNAS cells were maintained at 37C with 5% CO2 in Dulbecco’s modified Eagle’s medium supplemented with 10% (v/v) heat-inactivated FBS, 2 mm L-glutamine and 1% (v/v) penicillin and streptomycin solution.

extract_protocol:
RNA was extracted from immunoprecipitation elution samples using Trizol reagent.
mRNA is purified from approximately 200ng of total RNA with oligo-dT beads and sheared by incubation at 94C in the presence of Mg (Roche Kapa mRNA Hyper Prep Cat# KR1352).  Following first-strand synthesis with random primers, second strand synthesis and A-tailing are performed with dUTP for generating strand-specific sequencing libraries. Adapter ligation with 3’ dTMP overhangs are ligated to library insert fragments.  Library amplification amplifies fragments carrying the appropriate adapter sequences at both ends.  Strands marked with dUTP are not amplified. Indexed libraries are quantified by qRT-PCR using a commercially available kit (Roch KAPA Biosystems Cat# KK4854) and insert size distribution determined by either the Agilent Bioanalyzer. Samples with a yield of ≥ 0.5 ng/ul and a size distribution of 150-300bp are used for sequencing

treatment_protocol: SKNAS cells were grown to 75% confluency then media was removed and replaced with fresh media. After an 1hr incubation at 37°C, the cells were transfected with Lipofectamine 2000 using a DNA:Lipo ratio of 3ug:8ul per 6 well according to the manufacturer’s instructions. Experment was started twenty-four hours after transfection.

value: R1007K KIF5A het mutant

value: iMNs


title: 123119-9109

description: DIV15 untreated control iMNs

value: wild-type


title: SKNAS d27 KIF5A RIP2

description: SKNAS cells transfected with V5-d27 KIF5A construct

data_processing:
The sequence reads were mapped with Gencode "GRCh38.primary_assembly.genome.fa" reference.
Strandedness was calculated with rseqc tool using infer_experiment.py module
HTSeq was used to extract the numbers of reads per transcript using stranded parameter and further analysis was done with DESeq2
Genome_build: GRch38
Supplementary_files_format_and_content: tab-delimited test file inclue HTSeq raw counts for each transcript in different samples
Supplementary_files_format_and_content: DESeq2 results in matrix format

source_name: SKNAS cells

extract_protocol:
RNA was extracted from immunoprecipitation elution samples using Trizol reagent. For the IP, conjugated beads were used, the Anti-V5 Tagged Magnetic Beads (MBL International Corp, Cat# M167-11).
RNA transcripts are enriched by selectively depleting ribosomal RNA molecules using the Ribogone Low-input-Mammalian kit (Clontech Cat. Nos. 634846 & 634847 ), which allows for the specific removal of rRNA sequences (5S, 5.8S, 18S, and 28S), as well as mitochondrial rRNA sequences (12S), from human, mouse, or rat total RNA. Fragmentation times are adjusted based on the RIN value for each sample so that an insert size of 150-200 bp can be achieved.  The SMARTer Stranded RNA-Seq Kit (Cat. Nos. 634836) is then used to generate a cDNA library.  The cDNA library is then amplified and indexed adapters are added.  Libraries that meet appropriate cut-offs for both are quantified by qRT-PCR using a commercially available kit (KAPA Biosystems) and insert size distribution determined with the Perkin Elmer LabChip GX or Agilent Bioanalyzer. Samples with a yield of ≥0.5 ng/ul are used for sequencing.

value: SKNAS

value: V5-d27 KIF5A RIP2


title: 122819-18

description: DIV15 untreated KIF5A mutant iMNs


title: 123119-18

description: DIV15 untreated KIF5A mutant iMNs


title: 1420-6-9109

description: DIV15 untreated control iMNs


title: BCM3392Vs003

value: sh-YAP1 transfected cell line in SCID mouse

value: MSTO-211H [sh-YAP1]


title: 122819-9109

description: DIV15 untreated control iMNs


title: 122419-18

description: DIV15 untreated KIF5A mutant iMNs


title: BCM3392Vs002


title: 122419-9109

description: DIV15 untreated control iMNs


title: BCM3392Vs010

value: glucose + doxyxycline


title: BCM3392Vs006


title: 826_2

source_name: MCF7 cells


title: 742_2

value: CB742 5microM


title: 742_3


title: 729_3

value: CB729 10microM


title: 729_2


title: 742_1


title: tagcounts_WGREST_K562

value: WGREST

value: GFP mRNA


title: tagcounts_WGREST_GM12878


title: 729_1


title: HFF cells, H3K4me3 DFF ChIP-Seq Rep 2 (Sample 24)

city: Iowa City

first: David

last: Price

state: IA

address: 500 Newton Road, 260 EMRB

department: Biochemistry

institute: University of Iowa

data_processing:
Adapter trimming using trim_galore 0.6.
Alignment of trimmed reads to hg38, and HCMV (TB40e KF297339.1, Towne FJ616285.1) using bowtie 1.2.2.
Deduplication of fragments based on their unique molecular index tags using awk and bash.
Conversion of deduped bed files into bedGraph and bigwig using bedtools genomecov and kentUtils bedGraphToBigWig programs.
Genome_build: hg38, KF297339.1, FJ616285.1
Supplementary_files_format_and_content: bigwig files containing pileup of DFF ChIP-Seq fragments across whole genomes.

source_name: Primary human foreskin fibroblast (HFF)

growth_protocol: HeLa cells were grown in T150 flasks in 25 ml DMEM (Gibco 11965-092), HFF cells were grown in MEM (Gibco 11095-080), and MRC5 cells were grown in a 1:1 mixture of Ham’s F-10 (Gibco 11550-043) and DMEM and all were supplemented with 5% fetal bovine serum (FBS, Gibco 26140-079)

extract_protocol:
Rapid nuclei isolation steps were performed on wet ice using ice-cold buffers as previously described (Nilson et al. 2017; Ball et al. 2019). Following DFF digestion, nuclei were lightly sonicated for 20s and the soluble material was immunoprecipitated with 2.5 µg of antibodies.
Library construction is detailed in the manuscript.

treatment_protocol: Treatment Protocol: 1 hour prior to harvest, when cell were at 80-90% confluence, 5 ml of media was removed and either 25 µl of DMSO or 1 mM flavopiridol in DMSO was added before the mixture was returned to the flask (final concentrations 0.1% DMSO or 1 µM flavopiridol and 0.1% DMSO). Nuclei isolated from these cells were digested with ~15 µg of DFF per T150. (~25 µg for excess digestion experiments)

value: HFF

tag: infection (duration and strain)

value: 48 hrs Towne BAC

value: untreated

tag: condition

value: Low Salt

tag: exp


title: HFF cells, UL87 DFF ChIP-Seq Rep1 (Sample 25)


title: HFF cells, TBP DFF ChIP-Seq Rep2 (Sample 22)

value: TBP


title: HFF cells, TBP DFF ChIP-Seq Rep1 (Sample 21)


title: HFF cells, Ser5P DFF ChIP-Seq Rep2 (Sample 20)