Literature DB >> 16940433

Transcriptional regulatory network analysis of developing human erythroid progenitors reveals patterns of coregulation and potential transcriptional regulators.

M A Keller1, S Addya, R Vadigepalli, B Banini, K Delgrosso, H Huang, S Surrey.   

Abstract

Deciphering the molecular basis for human erythropoiesis should yield information benefiting studies of the hemoglobinopathies and other erythroid disorders. We used an in vitro erythroid differentiation system to study the developing red blood cell transcriptome derived from adult CD34+ hematopoietic progenitor cells. mRNA expression profiling was used to characterize developing erythroid cells at six time points during differentiation (days 1, 3, 5, 7, 9, and 11). Eleven thousand seven hundred sixty-three genes (20,963 Affymetrix probe sets) were expressed on day 1, and 1,504 genes, represented by 1,953 probe sets, were differentially expressed (DE) with 537 upregulated and 969 downregulated. A subset of the DE genes was validated using real-time RT-PCR. The DE probe sets were subjected to a cluster metric and could be divided into two, three, four, five, or six clusters of genes with different expression patterns in each cluster. Genes in these clusters were examined for shared transcription factor binding sites (TFBS) in their promoters by comparing enrichment of each TFBS relative to a reference set using transcriptional regulatory network analysis. The sets of TFBS enriched in genes up- and downregulated during erythropoiesis were distinct. This analysis identified transcriptional regulators critical to erythroid development, factors recently found to play a role, as well as a new list of potential candidates, including Evi-1, a potential silencer of genes upregulated during erythropoiesis. Thus this transcriptional regulatory network analysis has yielded a focused set of factors and their target genes whose role in differentiation of the hematopoietic stem cell into distinct blood cell lineages can be elucidated.

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Year:  2006        PMID: 16940433     DOI: 10.1152/physiolgenomics.00055.2006

Source DB:  PubMed          Journal:  Physiol Genomics        ISSN: 1094-8341            Impact factor:   3.107


  36 in total

1.  Alternative pre-mRNA splicing switches modulate gene expression in late erythropoiesis.

Authors:  Miki L Yamamoto; Tyson A Clark; Sherry L Gee; Jeong-Ah Kang; Anthony C Schweitzer; Amittha Wickrema; John G Conboy
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Review 2.  The p53 target Wig-1: a regulator of mRNA stability and stem cell fate?

Authors:  A Vilborg; C Bersani; M T Wilhelm; K G Wiman
Journal:  Cell Death Differ       Date:  2011-03-11       Impact factor: 15.828

3.  Targets of the Tal1 transcription factor in erythrocytes: E2 ubiquitin conjugase regulation by Tal1.

Authors:  Jörn Lausen; Ole Pless; Fransisca Leonard; Olga N Kuvardina; Benjamin Koch; Achim Leutz
Journal:  J Biol Chem       Date:  2009-12-22       Impact factor: 5.157

4.  Ontogeny of erythroid gene expression.

Authors:  Paul D Kingsley; Emily Greenfest-Allen; Jenna M Frame; Timothy P Bushnell; Jeffrey Malik; Kathleen E McGrath; Christian J Stoeckert; James Palis
Journal:  Blood       Date:  2012-12-12       Impact factor: 22.113

5.  Modeling dynamic functional relationship networks and application to ex vivo human erythroid differentiation.

Authors:  Fan Zhu; Lihong Shi; Hongdong Li; Ridvan Eksi; James Douglas Engel; Yuanfang Guan
Journal:  Bioinformatics       Date:  2014-08-12       Impact factor: 6.937

6.  Transcriptional response in the peripheral blood of patients infected with Salmonella enterica serovar Typhi.

Authors:  Lucinda J Thompson; Sarah J Dunstan; Christiane Dolecek; Tim Perkins; Deborah House; Gordon Dougan; Thi Hue Nguyen; Thi Phi La Tran; Cong Du Doan; Thi Phuong Le; Thi Dung Nguyen; Tinh Hien Tran; Jeremy J Farrar; Denise Monack; David J Lynn; Stephen J Popper; Stanley Falkow
Journal:  Proc Natl Acad Sci U S A       Date:  2009-12-11       Impact factor: 11.205

7.  Simvastatin and t-butylhydroquinone suppress KLF1 and BCL11A gene expression and additively increase fetal hemoglobin in primary human erythroid cells.

Authors:  Elizabeth R Macari; Emily K Schaeffer; Rachel J West; Christopher H Lowrey
Journal:  Blood       Date:  2012-12-06       Impact factor: 22.113

8.  Functional annotation of novel lineage-specific genes using co-expression and promoter analysis.

Authors:  Charu G Kumar; Robin E Everts; Juan J Loor; Harris A Lewin
Journal:  BMC Genomics       Date:  2010-03-09       Impact factor: 3.969

9.  Temporal and functional profile of the transcriptional regulatory network in the early regenerative response to partial hepatectomy in the rat.

Authors:  Egle Juskeviciute; Rajanikanth Vadigepalli; Jan B Hoek
Journal:  BMC Genomics       Date:  2008-11-06       Impact factor: 3.969

10.  Evaluation of methods for amplification of picogram amounts of total RNA for whole genome expression profiling.

Authors:  Mathieu Clément-Ziza; David Gentien; Stanislas Lyonnet; Jean-Paul Thiery; Claude Besmond; Charles Decraene
Journal:  BMC Genomics       Date:  2009-05-26       Impact factor: 3.969

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