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LongSAGE profiling of nine human embryonic stem cell lines

  • Martin Hirst
  • , Allen D. Delaney
  • , Sean A. Rogers
  • , Angelique Schnerch
  • , Deryck R. Persaud
  • , Michael D. O'Connor
  • , Thomas Zeng
  • , Michelle Moksa
  • , Keith Fichter
  • , Diana Mah
  • , Anne Go
  • , Ryan D. Morin
  • , Agnes Baross
  • , Yongjun Zhao
  • , Jaswinder Khattra
  • , Anna-Liisa Prabhu
  • , Pawan Pandoh
  • , Helen L. McDonald
  • , Jennifer Asano
  • , Noreen Dhalla
  • Kevin Ma, Stephanie Lee, Adrian Ally, Neil Chahal, Stephanie Menzies, Asim Siddiqui, Robert Holt, Steven Jones, Daniela S. Gerhard, James A. Thomson, Connie J. Eaves, Marco A. Marra

Research output: Contribution to journalArticle

20 Citations (Scopus)

Abstract

To facilitate discovery of novel human embryonic stem cell (ESC) transcripts, we generated 2.5 million LongSAGE tags from 9 human ESC lines. Analysis of this data revealed that ESCs express proportionately more RNA binding proteins compared with terminally differentiated cells, and identified novel ESC transcripts, at least one of which may represent a marker of the pluripotent state.
Original languageEnglish
Number of pages12
JournalGenome Biology
Volume8
Issue number6
Publication statusPublished - 2007

Open Access - Access Right Statement

© 2007 Hirst et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Keywords

  • blastocysts
  • embryo
  • human embryonic stem cell
  • propagation
  • proteins
  • stem cells

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