» Articles » PMID: 23341446

Identification of Biologically Relevant Enhancers in Human Erythroid Cells

Overview
Journal J Biol Chem
Specialty Biochemistry
Date 2013 Jan 24
PMID 23341446
Citations 39
Authors
Affiliations
Soon will be listed here.
Abstract

Identification of cell type-specific enhancers is important for understanding the regulation of programs controlling cellular development and differentiation. Enhancers are typically marked by the co-transcriptional activator protein p300 or by groups of cell-expressed transcription factors. We hypothesized that a unique set of enhancers regulates gene expression in human erythroid cells, a highly specialized cell type evolved to provide adequate amounts of oxygen throughout the body. Using chromatin immunoprecipitation followed by massively parallel sequencing, genome-wide maps of candidate enhancers were constructed for p300 and four transcription factors, GATA1, NF-E2, KLF1, and SCL, using primary human erythroid cells. These data were combined with gene expression analyses, and candidate enhancers were identified. Consistent with their predicted function as candidate enhancers, there was statistically significant enrichment of p300 and combinations of co-localizing erythroid transcription factors within 1-50 kb of the transcriptional start site (TSS) of genes highly expressed in erythroid cells. Candidate enhancers were also enriched near genes with known erythroid cell function or phenotype. Candidate enhancers exhibited moderate conservation with mouse and minimal conservation with nonplacental vertebrates. Candidate enhancers were mapped to a set of erythroid-associated, biologically relevant, SNPs from the genome-wide association studies (GWAS) catalogue of NHGRI, National Institutes of Health. Fourteen candidate enhancers, representing 10 genetic loci, mapped to sites associated with biologically relevant erythroid traits. Fragments from these loci directed statistically significant expression in reporter gene assays. Identification of enhancers in human erythroid cells will allow a better understanding of erythroid cell development, differentiation, structure, and function and provide insights into inherited and acquired hematologic disease.

Citing Articles

The lncRNA DUBR is regulated by CTCF and coordinates chromatin landscape and gene expression in hematopoietic cells.

Nunez-Martinez H, Tapia-Urzua G, Cerecedo-Castillo A, Peralta-Alvarez C, Guerrero G, Huarte M Nucleic Acids Res. 2025; 53(4).

PMID: 39995041 PMC: 11850227. DOI: 10.1093/nar/gkaf093.


Regulated GATA1 expression as a universal gene therapy for Diamond-Blackfan anemia.

Voit R, Liao X, Caulier A, Antoszewski M, Cohen B, Armant M Cell Stem Cell. 2024; 32(1):38-52.e6.

PMID: 39532107 PMC: 11698655. DOI: 10.1016/j.stem.2024.10.012.


Transcription factor networks disproportionately enrich for heritability of blood cell phenotypes.

Martin-Rufino J, Caulier A, Lee S, Castano N, King E, Joubran S bioRxiv. 2024; .

PMID: 39314298 PMC: 11419094. DOI: 10.1101/2024.09.09.611392.


Association of DDX5/p68 protein with the upstream erythroid enhancer element (EHS1) of the gene encoding the KLF1 transcription factor.

Chen X, Pillay S, Lohmann F, Bieker J J Biol Chem. 2023; 299(12):105489.

PMID: 38000658 PMC: 10750184. DOI: 10.1016/j.jbc.2023.105489.


Identification of a genomic DNA sequence that quantitatively modulates KLF1 transcription factor expression in differentiating human hematopoietic cells.

Gnanapragasam M, Planutis A, Glassberg J, Bieker J Sci Rep. 2023; 13(1):7589.

PMID: 37165057 PMC: 10172341. DOI: 10.1038/s41598-023-34805-5.


References
1.
Siepel A, Bejerano G, Pedersen J, Hinrichs A, Hou M, Rosenbloom K . Evolutionarily conserved elements in vertebrate, insect, worm, and yeast genomes. Genome Res. 2005; 15(8):1034-50. PMC: 1182216. DOI: 10.1101/gr.3715005. View

2.
Zhang Y, Liu T, Meyer C, Eeckhoute J, Johnson D, Bernstein B . Model-based analysis of ChIP-Seq (MACS). Genome Biol. 2008; 9(9):R137. PMC: 2592715. DOI: 10.1186/gb-2008-9-9-r137. View

3.
Giannopoulou E, Elemento O . An integrated ChIP-seq analysis platform with customizable workflows. BMC Bioinformatics. 2011; 12:277. PMC: 3145611. DOI: 10.1186/1471-2105-12-277. View

4.
Dore L, Chlon T, Brown C, White K, Crispino J . Chromatin occupancy analysis reveals genome-wide GATA factor switching during hematopoiesis. Blood. 2012; 119(16):3724-33. PMC: 3335379. DOI: 10.1182/blood-2011-09-380634. View

5.
Glomski C, Tamburlin J, Hard R, Chainani M . The phylogenetic odyssey of the erythrocyte. IV. The amphibians. Histol Histopathol. 1997; 12(1):147-70. View