his.sePublikationer
Ändra sökning
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Transcriptional analysis of messenger-RNA and micro-RNA array data reveals global negative correlation in human stem cell derived cardiomyocyte clusters
Högskolan i Skövde, Forskningscentrum för Systembiologi. Högskolan i Skövde, Institutionen för vård och natur.ORCID-id: 0000-0003-4697-0590
Cellartis AB, Sweden.
2012 (Engelska)Ingår i: 4th International Conference on Bioinformatics and Computational Biology / [ed] F. Saeed H. Al-Mubaid, Curran Associates, Inc., 2012, s. 178-183Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

MicroRNAs (miRNAs) are small non-coding molecules that have been shown to play key roles in regulating cellular development and to be involved in various diseases. By interfering with their target mRNAs, these molecules inhibit the expression of proteins, either by de-stabilizing the messenger RNA (mRNA) molecule or by preventing its translation. Each miRNA can target hundreds of mRNAs, and one mRNA can be targeted by several miRNAs.This makes it extremely complex to determine the regulatory functions of specific miRNAs in the transcription and translation processes. However, important advancements in microarray technology have made large scale monitoring of miRNA expression possible. This opens the possibility to move from studies of single molecules to studies of complex molecular processes, pathways, and biological systems. Recent studies have indicated important roles for miRNAs in stem cell differentiation in general and in cardiac development in particular. This paper presents a global transcriptional study where putativecorrelation between miRNA and mRNA expression in fetal- and adult heart tissues samples and in clusters of cardiomyocytes derived from human embryonic stem cells (hESCs) were investigated. Target genes of miRNAs expressed in cardiac tissue have been predicted and their transcriptional profiles investigated in tissue specimen. By using a statistical algorithm, up- and down-regulated miRNAs and mRNAs have been identified in four different cardiac related samples. In total, 17 cardiac related miRNAs have been analyzed and for each of these, clusters of negatively correlated target genes were identified. This supports the hypothesis that sets of miRNAs play an important role in modulating the expression of genes, which are important for cardiac development. Interestingly, the results from this study also indicate a global negative correlation between miRNA expression and mRNA expression, which previously has not been reported.

Ort, förlag, år, upplaga, sidor
Curran Associates, Inc., 2012. s. 178-183
Nationell ämneskategori
Biologiska vetenskaper
Forskningsämne
Naturvetenskap
Identifikatorer
URN: urn:nbn:se:his:diva-6544Scopus ID: 2-s2.0-84883631102ISBN: 978-1-880843-85-7 ISBN: 9781618397461 OAI: oai:DiVA.org:his-6544DiVA, id: diva2:561071
Konferens
4th International Conference on Bioinformatics and Computational Biology 2012, BICoB 2012, Las Vegas, 12 March 2012 through 14 March 2012
Tillgänglig från: 2012-10-17 Skapad: 2012-10-17 Senast uppdaterad: 2017-11-27Bibliografiskt granskad

Open Access i DiVA

Fulltext saknas i DiVA

Scopus

Personposter BETA

Synnergren, JaneSartipy, Peter

Sök vidare i DiVA

Av författaren/redaktören
Synnergren, JaneSartipy, Peter
Av organisationen
Forskningscentrum för SystembiologiInstitutionen för vård och natur
Biologiska vetenskaper

Sök vidare utanför DiVA

GoogleGoogle Scholar

isbn
urn-nbn

Altmetricpoäng

isbn
urn-nbn
Totalt: 1307 träffar
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf