Developmental transcriptome analysis of human erythropoiesis

Lihong Shi, Yu Hsuan Lin, M. C. Sierant, Fan Zhu, Shuaiying Cui, Yuanfang Guan, Maureen A. Sartor, Osamu Tanabe, Kim Chew Lim, James Douglas Engel

Research output: Contribution to journalArticlepeer-review

31 Citations (Scopus)

Abstract

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 non-coding RNA candidates remained. The analysis also revealed two clear transcriptional trends during terminal erythroid differentiation: first, the complexity of transcript diversity was predominantly achieved by alternative splicing, and second, splicing junctional diversity diminished during erythroid differentiation. Finally, 404 genes that were not known previously to be differentially expressed in erythroid cells were annotated. Analysis of the most extremely differentially expressed transcripts revealed that these gene products were all closely associated with hematopoietic lineage differentiation. Taken together, this study will serve as a comprehensive platform for future in-depth investigation of human erythroid development that, in turn, may reveal new insights into multiple layers of the transcriptional regulatory hierarchy that controls erythropoiesis.

Original languageEnglish
Article numberddu167
Pages (from-to)4528-4542
Number of pages15
JournalHuman molecular genetics
Volume23
Issue number17
DOIs
Publication statusPublished - 2014 Sep

ASJC Scopus subject areas

  • Molecular Biology
  • Genetics
  • Genetics(clinical)

Fingerprint Dive into the research topics of 'Developmental transcriptome analysis of human erythropoiesis'. Together they form a unique fingerprint.

Cite this