Literature DB >> 27108395

Identifying gene expression modules that define human cell fates.

I Germanguz1, J Listgarten2, J Cinkornpumin1, A Solomon1, X Gaeta1, W E Lowry3.   

Abstract

Using a compendium of cell-state-specific gene expression data, we identified genes that uniquely define cell states, including those thought to represent various developmental stages. Our analysis sheds light on human cell fate through the identification of core genes that are altered over several developmental milestones, and across regional specification. Here we present cell-type specific gene expression data for 17 distinct cell states and demonstrate that these modules of genes can in fact define cell fate. Lastly, we introduce a web-based database to disseminate the results.
Copyright © 2016 The Authors. Published by Elsevier B.V. All rights reserved.

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Year:  2016        PMID: 27108395      PMCID: PMC4903895          DOI: 10.1016/j.scr.2016.04.008

Source DB:  PubMed          Journal:  Stem Cell Res        ISSN: 1873-5061            Impact factor:   2.020


  41 in total

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10.  Direct induction of haematoendothelial programs in human pluripotent stem cells by transcriptional regulators.

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Journal:  Nat Commun       Date:  2014-07-14       Impact factor: 14.919

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  1 in total

Review 1.  Stems cells, big data and compendium-based analyses for identifying cell types, signalling pathways and gene regulatory networks.

Authors:  Md Humayun Kabir; Michael D O'Connor
Journal:  Biophys Rev       Date:  2019-01-25
  1 in total

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