
pmid: 25732829
A challenge of genome annotation is the identification of genes performing specific biological functions. Here, we propose a phylogenetic approach that utilizes RNA-seq data to infer the historical relationships among cell types and to trace the pattern of gene-expression changes on the tree. The hypothesis is that gene-expression changes coincidental with the origin of a cell type will be important for the function of the derived cell type. We apply this approach to the endometrial stromal cells (ESCs), which are critical for the initiation and maintenance of pregnancy. Our approach identified well-known regulators of ESCs, PGR and FOXO1, as well as genes not yet implicated in female fertility, including GATA2 and TFAP2C. Knockdown analysis confirmed that they are essential for ESC differentiation. We conclude that phylogenetic analysis of cell transcriptomes is a powerful tool for discovery of genes performing cell-type-specific functions.
570, QH301-705.5, Cell Line, Endometrium, Pregnancy, name=General Biochemistry,Genetics and Molecular Biology, Cluster Analysis, Humans, Biology (General), RNA, Small Interfering, Myofibroblasts, Principal Component Analysis, /dk/atira/pure/subjectarea/asjc/1300/1300, Forkhead Box Protein O1, Sequence Analysis, RNA, Cell Differentiation, Forkhead Transcription Factors, GATA2 Transcription Factor, Transcription Factor AP-2, Female, RNA Interference, Stromal Cells
570, QH301-705.5, Cell Line, Endometrium, Pregnancy, name=General Biochemistry,Genetics and Molecular Biology, Cluster Analysis, Humans, Biology (General), RNA, Small Interfering, Myofibroblasts, Principal Component Analysis, /dk/atira/pure/subjectarea/asjc/1300/1300, Forkhead Box Protein O1, Sequence Analysis, RNA, Cell Differentiation, Forkhead Transcription Factors, GATA2 Transcription Factor, Transcription Factor AP-2, Female, RNA Interference, Stromal Cells
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| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 1% |
