Transcriptomics

Dataset Information

0

Primate iPS cells as tools for evolutionary analyses


ABSTRACT: Induced pluripotent stem cells (iPSCs) are regarded as a central tool to understand human biology in health and disease. Similarly, iPSCs from closely related species should be a central tool to understand human evolution and to identify conserved and variable patterns of iPSC disease models. Here, we have generated human, gorilla, bonobo and cynomolgus monkey iPSCs. We show that these cells are well comparable in their differentiation potential and generally similar to human, cynomolgus and rhesus monkey embryonic stem cells (ESCs). RNA sequencing reveals that expression differences among clones, individuals and stem cell type are all of very similar magnitude within a species. In contrast, expression differences between closely related primate species are three times larger and most genes show significant expression differences among the analysed species. However, pseudogenes differ more than twice as much, suggesting that evolution of expression levels in primate stem cells is rapid, but constrained. These patterns in pluripotent stem cells are comparable to those found in other tissues except testis. Hence, primate iPSCs reveal insights into general primate gene expression evolution and should provide a rich source to identify conserved and species-specific gene expression patterns for cellular phenotypes. Contributors: Leibniz Research Laboratories for Biotechnology and Artificial Organs (LEBAO), Department of Cardiothoracic, Transplantation and Vascular Surgery, Hannover Medical School, 30625 Hannover, Germany Max Planck Institute for Evolutionary Anthropology, Deutscher Platz 6, D-04103 Leipzig, Germany

ORGANISM(S): Gorilla gorilla Pan paniscus Macaca fascicularis Homo sapiens Macaca mulatta

PROVIDER: GSE50781 | GEO | 2014/02/19

SECONDARY ACCESSION(S): PRJNA218873

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2014-02-19 | E-GEOD-50781 | biostudies-arrayexpress
2016-07-15 | GSE84385 | GEO
2023-11-23 | E-MTAB-13494 | biostudies-arrayexpress
2016-08-24 | E-GEOD-74767 | biostudies-arrayexpress
2016-02-24 | GSE76707 | GEO
2014-10-14 | E-GEOD-61420 | biostudies-arrayexpress
2013-10-23 | E-GEOD-47626 | biostudies-arrayexpress
2010-05-15 | E-GEOD-13146 | biostudies-arrayexpress
2020-09-30 | GSE155443 | GEO
2022-03-18 | PXD030570 | Pride