Quantitative methods for genome-scale analysis of in situ hybridization and correlation with microarray data.
With the emergence of genome-wide colorimetric in situ hybridization (ISH) data sets such as the Allen Brain Atlas, it is important to understand the relationship between this gene expression modality and those derived from more quantitative based technologies. This study introduces a novel method for standardized relative quantification of colorimetric ISH signal that enables a large-scale cross-platform expression level comparison of ISH with two publicly available microarray brain data sources.
Lee
Chang-Kyu
CK
Allen Institute for Brain Science, Seattle, WA 98103, USA.
Sunkin
Susan M
SM
Kuan
Chihchau
C
Thompson
Carol L
CL
Pathak
Sayan
S
Ng
Lydia
L
Lau
Chris
C
Fischer
Shanna
S
Mortrud
Marty
M
Slaughterbeck
Cliff
C
Jones
Allan
A
Lein
Ed
E
Hawrylycz
Michael
M
D000818:Animals; D001923:Brain Chemistry / Q000235:genetics; D003124:Colorimetry; D020869:Gene Expression Profiling; D023281:Genomics / Q000379:methods*; D017403:In Situ Hybridization; D051379:Mice; D008810:Mice, Inbred C57BL; D020411:Oligonucleotide Array Sequence Analysis