title: Distinguishing human cell types based on housekeeping gene signatures.
abstract: 'In this report, we use single cell gene expression to identify transcriptional patterns emerging during the differentiation of human embryonic stem cells (hESCs) into the endodermal lineage. Endoderm-specific transcripts are highly variable between individual CXCR4(+) endodermal cells, suggesting that either the cells generated from in vitro differentiation are distinct or that these embryonic cells tolerate a high degree of transcript variability. Housekeeping transcripts, on the other hand, are far more consistently expressed within the same cellular population. However, when we compare the levels of housekeeping transcripts between hESCs and derived endoderm, patterns emerge that can be used to clearly separate the two embryonic cell types. We further compared four additional human cell types, including 293T, induced pluripotent stem cell (iPSC), HepG2, and endoderm-derived iPSC. In each case, the relative levels of housekeeping transcripts defined a particular cell fate. Interestingly, we find that three transcripts, LDHA, NONO, and ACTB, contribute the most to this diversity and together serve to segregate all six cell types. Overall, this suggests that levels of housekeeping transcripts, which are expressed within all cells, can be leveraged to distinguish between human cell types and thus may serve as important biomarkers for stem cell biology and other disciplines.
authors.affiliation: Department of Genetics, Stanford University, Stanford, CA 94305, USA.
authors.forename: Chuba
authors.initials: C
authors.lastname: Oyolu
authors.forename: Fouad
authors.initials: F
authors.lastname: Zakharia
authors.forename: Julie
authors.initials: J
authors.lastname: Baker
mesh_terms: D000884:Anthropology, Cultural; D000943:Antigens, Differentiation / Q000235:genetics / Q000378:metabolism; D002454:Cell Differentiation; D053595:Embryonic Stem Cells / Q000145:classification / Q000378:metabolism / Q000502:physiology; D004707:Endoderm / Q000166:cytology / Q000378:metabolism; D020869:Gene Expression Profiling; D020043:Genes, Essential; D006801:Humans; D057026:Induced Pluripotent Stem Cells / Q000145:classification / Q000378:metabolism / Q000502:physiology; D059010:Single-Cell Analysis; D014158:Transcription, Genetic
chemical_list: D000943:Antigens, Differentiation