Högskolan i Skövde

his.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • apa-cv
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Explore transcription factor profiles in human pluripotent stem cells
University of Skövde, School of Bioscience. University of Skövde, The Systems Biology Research Centre. (Bioinformatics)ORCID iD: 0000-0003-4697-0590
2014 (English)In: 6th International Conference on Bioinformatics and Computational Biology (BICoB 2014): Las Vegas, Nevada, USA, 24 – 26 March 2014 / [ed] F. Saeed, B. DasGupta, International Society for Computers and Their Applications , 2014, p. 197-202Conference paper, Published paper (Refereed)
Abstract [en]

Human pluripotent stem cells (hPSCs) have unique properties of proliferation and self-renewal, and can be differentiated into various functional cell types. The differentiation processes are to a large extent controlled by transcription factors, which are key cellular components that control gene expression and determine how cells respond to the environment on various stimuli. Surprisingly little is known about the transcription factor activity in hPSCs, and more knowledge is needed about the transcriptional regulation during the differentiation processes. This information will be instrumental for development of efficient differentiation protocols to produce fully functional specialized cell types, for use in drug discovery and toxicity testing studies. This paper explores the expression of transcription factors in hPSCs, and gives an overview of the genomic organization of transcription factors, which likely are involved in the fate decision processes of hPSCs. In total 1,323 human transcription factors were selected from literature and further investigated for their genomic organization and their expression in hPSCs. Moreover, transcription factors that are highly expressed in undifferentiated hPSCs, compared to their differentiated progenies are identified and further investigated for protein-protein interaction activity using computational tools. The protein-protein interaction networks presented here will provide valuable information about the regulatory mechanisms, and reveal important proteins involved in the maintenance of the pluripotent state of stem cells.

Place, publisher, year, edition, pages
International Society for Computers and Their Applications , 2014. p. 197-202
National Category
Medical Biotechnology (with a focus on Cell Biology (including Stem Cell Biology), Molecular Biology, Microbiology, Biochemistry or Biopharmacy)
Research subject
Bioinformatics
Identifiers
URN: urn:nbn:se:his:diva-10231Scopus ID: 2-s2.0-84905863089ISBN: 978-1-63266-514-0 (print)OAI: oai:DiVA.org:his-10231DiVA, id: diva2:766654
Conference
6th international conference on Bioinformatics and Computational Biology (BICoB) Las Vegas, 24-26 March 2014
Funder
Knowledge Foundation, 2012/0310Available from: 2014-11-27 Created: 2014-11-27 Last updated: 2018-07-31Bibliographically approved

Open Access in DiVA

No full text in DiVA

Scopus

Authority records

Synnergren, Jane

Search in DiVA

By author/editor
Synnergren, Jane
By organisation
School of BioscienceThe Systems Biology Research Centre
Medical Biotechnology (with a focus on Cell Biology (including Stem Cell Biology), Molecular Biology, Microbiology, Biochemistry or Biopharmacy)

Search outside of DiVA

GoogleGoogle Scholar

isbn
urn-nbn

Altmetric score

isbn
urn-nbn
Total: 1041 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • apa-cv
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf