Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Developmental transcriptome analysis of human erythropoiesis

ABSTRACT: We profiled the dynamic, comprehensive transcriptome during human erythroid differentiation in vitro. The erythroid cells at day 4, 8, 11 and 14 differentiation stages were harvested and sequenced by Illumia 72 bp paired-end sequencing format, respectively. Expression profiling of erythroid cells on differentiation days 4, 8, 11 and 14 and performed mRNA-seq on two biological replicates at each stage.

ORGANISM(S): Homo sapiens

SUBMITTER: Lihong Shi

PROVIDER: E-GEOD-54602 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Publications

Developmental transcriptome analysis of human erythropoiesis.

Shi Lihong L Lin Yu-Hsuan YH Sierant M C MC Zhu Fan F Cui Shuaiying S Guan Yuanfang Y Sartor Maureen A MA Tanabe Osamu O Lim Kim-Chew KC Engel James Douglas JD

Human molecular genetics 20140429 17

To globally survey the changes in transcriptional landscape during terminal erythroid differentiation, we performed RNA sequencing (RNA-seq) on primary human CD34(+) cells after ex vivo differentiation from the earliest into the most mature erythroid cell stages. This analysis identified thousands of novel intergenic and intronic transcripts as well as novel alternative transcript isoforms. After rigorous data filtering, 51 (presumptive) novel protein-coding transcripts, 5326 long and 679 small ...[more]

PMID: 24781209

Similar Datasets

Project description: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 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 TSS of genes highly expressed in erythroid cells. Candidate enhancers were also enriched near genes with known erythroid cell function or erythroid cell phenotypes. Candidate enhancers exhibited only moderate conservation with mouse and minimal conservation with nonplacental vertebrates. Candidate enhancers were mapped to a data set of erythroid-associated, biologically relevant, SNPs from the GWAS catalog of the NHGRI. 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. CD34+-selected stem and progenitor cells were expanded for three days in the absence of EPO, and total RNA was isolated from a portion of the cells. The cells were further cultured in the presence of EPO, and RNA was isolated after cells differentiated into R3/R4 nucleated erythroid cells. There were 3 replicates of CD34 cells and 9 replicates of R3/R4 erythroid cells.

Dataset Information

Developmental transcriptome analysis of human erythropoiesis

Publications

Developmental transcriptome analysis of human erythropoiesis.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure