Detection of low-abundant novel transcripts in mouse hematopoietic stem cells

Hyeng Soo Kim, Junmo Hwang, Young Hun Kim, Seonggon Kim, Jae Woong Lee, Hyung Sik Kang, Kil Soo Kim, Ji Hong Ha, Jin Woong Chung, Kyu Tae Chang, Zae Young Ryoo, Sanggyu Lee

Research output: Contribution to journalArticlepeer-review

Abstract

Gene expression profiles of hematopoietic stem cells (HSCs) provide clues for understanding molecular mechanisms of HSC behavior, including self-renewal and differentiation. We took advantage of serial analysis of gene expression (SAGE) to identify medium- and low-abundant transcripts expressed in HSCs/hematopoietic progenitor cells (HPCs). Among a total of 31,380 unique transcripts, 17,326 (55%) correspond to known genes and, 14,054 (45%) are low-copy transcripts that have no matches to currently known genes. Among the former class, 3,899 (23%) were alternatively spliced transcripts and 3,754 (22%) represent anti-sense transcripts from known genes. Mapping of the SAGE tags to the mouse genome showed that differences in gene expression exist among chromosomes. In addition, comparison of the HSCs/HPCs SAGE data to that of myeloid progenitor cells revealed that massive genetic reprogramming occurs in hematopoietic cell differentiation. Our results demonstrate a previously unrecognized complexity of gene expression in HSCs/HPCs, and indicate the need for further efforts to fully identify and characterize the transcripts expressed in this cell type.

Original languageEnglish
Pages (from-to)363-370
Number of pages8
JournalMolecular Genetics and Genomics
Volume282
Issue number4
DOIs
StatePublished - Oct 2009

Keywords

  • Gene expression
  • Gr-1 myeloid progenitor cell
  • Hematopoietic stem cell
  • SAGE
  • Transcriptome

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