his.sePublikasjoner
Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Temporal analysis of oncogenesis using microRNA expression data
Högskolan i Skövde, Forskningscentrum för Systembiologi. Högskolan i Skövde, Institutionen för vård och natur.
Högskolan i Skövde, Forskningscentrum för Systembiologi. Högskolan i Skövde, Institutionen för vård och natur.
Högskolan i Skövde, Forskningscentrum för Systembiologi. Högskolan i Skövde, Institutionen för vård och natur.
2008 (engelsk)Inngår i: Proc. Ger. Conf. Bioinformatics, GCB, Bonn: Gesellschaft für Informatik , 2008, s. 128-137Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

MicroRNAs (miRNAs) have rapidly become the focus of many cancer research studies. These small non-coding RNAs have been shown to play important roles in the regulation of oncogenes and tumor suppressors. It has also been demonstrated that miRNA expression profiles differ significantly between normal and cancerous cells, which indicates the possibility of using miRNAs as markers for cancer diagnosis and prognosis. However, not much is known about the regulation of miRNA expression. One of the issues worth investigating is whether deregulations of miRNA expression in cancer cells occur according to some pattern or in a random order. We therefore selected two approaches, previously used to derive graph models of oncogenesis using chromosomal imbalance data, and adapted them to miRNA expression data. Applying the adapted algorithms to a breast cancer data set, we obtained results indicating the temporal order of miRNA deregulations during tumor development. When analyzing the specific deregulations appearing at different time points in the derived model, we found that several of the deregulations identified as early events could be supported through literature studies.

sted, utgiver, år, opplag, sider
Bonn: Gesellschaft für Informatik , 2008. s. 128-137
Serie
Proceedings of the German Conference on Bioinformatics, GCB 2008 ; P-136
Emneord [en]
Breast cancer data, Cancer cells, Cancer diagnosis, Cancer research, Cancerous cells, Expression data, Expression profile, Graph model, MicroRNA expression, MicroRNAs, Non-coding RNAs, Oncogenesis, Temporal analysis, Temporal order, Time points, Tumor development, Tumor suppressors, Bioinformatics, Deregulation, Diagnosis, Diseases, Oncogenic viruses, Tumors, RNA
Identifikatorer
URN: urn:nbn:se:his:diva-7256Scopus ID: 2-s2.0-84871212730ISBN: 9783885792260 OAI: oai:DiVA.org:his-7256DiVA, id: diva2:606199
Konferanse
German Conference on Bioinformatics, GCB 2008, 9 September 2008 through 12 September 2008, Dresden
Tilgjengelig fra: 2013-02-18 Laget: 2013-02-18 Sist oppdatert: 2017-11-27

Open Access i DiVA

Fulltekst mangler i DiVA

Andre lenker

Scopushttp://subs.emis.de/LNI/Proceedings/Proceedings136/gi-proc-136-013.pdf

Personposter BETA

Lubovac, ZelminaOlsson, Björn

Søk i DiVA

Av forfatter/redaktør
Lubovac, ZelminaOlsson, Björn
Av organisasjonen

Søk utenfor DiVA

GoogleGoogle Scholar

isbn
urn-nbn

Altmetric

isbn
urn-nbn
Totalt: 1144 treff
RefereraExporteraLink to record
Permanent link

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