LongSAGE profiling of nine human embryonic stem cell lines View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2007-06

AUTHORS

Martin Hirst, Allen 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 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

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. More... »

PAGES

r113

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/gb-2007-8-6-r113

DOI

http://dx.doi.org/10.1186/gb-2007-8-6-r113

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1029996235

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/17570852


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