Change search
ReferencesLink to record
Permanent link

Direct link
The Network Organization of Cancer-associated Protein Complexes in Human Tissues
Stockholm University, Faculty of Science, Department of Biochemistry and Biophysics. Stockholm University, Science for Life Laboratory (SciLifeLab).
2013 (English)In: Scientific Reports, ISSN 2045-2322, Vol. 3, 1583- p.Article in journal (Refereed) Published
Abstract [en]

Differential gene expression profiles for detecting disease genes have been studied intensively in systems biology. However, it is known that various biological functions achieved by proteins follow from the ability of the protein to form complexes by physically binding to each other. In other words, the functional units are often protein complexes rather than individual proteins. Thus, we seek to replace the perspective of disease-related genes by disease-related complexes, exemplifying with data on 39 human solid tissue cancers and their original normal tissues. To obtain the differential abundance levels of protein complexes, we apply an optimization algorithm to genome-wide differential expression data. From the differential abundance of complexes, we extract tissue- and cancer-selective complexes, and investigate their relevance to cancer. The method is supported by a clustering tendency of bipartite cancer-complex relationships, as well as a more concrete and realistic approach to disease-related proteomics.

Place, publisher, year, edition, pages
2013. Vol. 3, 1583- p.
National Category
Natural Sciences
URN: urn:nbn:se:su:diva-89993DOI: 10.1038/srep01583ISI: 000317330500001OAI: diva2:622156
Swedish Research Council


Available from: 2013-05-20 Created: 2013-05-20 Last updated: 2013-05-20Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full text

Search in DiVA

By author/editor
Huss, Mikael
By organisation
Department of Biochemistry and BiophysicsScience for Life Laboratory (SciLifeLab)
In the same journal
Scientific Reports
Natural Sciences

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 23 hits
ReferencesLink to record
Permanent link

Direct link