Ontology type: schema:ScholarlyArticle Open Access: True
2007-06
AUTHORSMartin 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
ABSTRACTTo 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... »
PAGESr113
http://scigraph.springernature.com/pub.10.1186/gb-2007-8-6-r113
DOIhttp://dx.doi.org/10.1186/gb-2007-8-6-r113
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1029996235
PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/17570852
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curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1186/gb-2007-8-6-r113'
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curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/gb-2007-8-6-r113'
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curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/gb-2007-8-6-r113'
RDF/XML is a standard XML format for linked data.
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This table displays all metadata directly associated to this object as RDF triples.
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