Probabilistic assembly of human protein interaction networks from label-free quantitative proteomics

Mihaela E. Sardiu, Yong Cai, Jingji Jin, Selene K. Swanson, Ronald C. Conaway, Joan W. Conaway, Laurence Florens, Michael P. Washburn

Research output: Contribution to journalArticlepeer-review

191 Scopus citations

Abstract

Large-scale affinity purification and mass spectrometry studies have played important roles in the assembly and analysis of comprehensive protein interaction networks for lower eukaryotes. However, the development of such networks for human proteins has been slowed by the high cost and significant technical challenges associated with systematic studies of protein interactions. To address this challenge, we have developed a method for building local and focused networks. This approach couples vector algebra and statistical methods with normalized spectral counting (NSAF) derived from the analysis of affinity purifications via chromatography-based proteomics. After mathematical removal of contaminant proteins, the core components of multiprotein complexes are determined by singular value decomposition analysis and clustering. The probability of interactions within and between complexes is computed solely based upon NSAFs using Bayes' approach. To demonstrate the application of this method to small-scale datasets, we analyzed an expanded human TIP49a and TIP49b dataset. This dataset contained proteins affinity-purified with 27 different epitope-tagged components of the chromatin remodeling SRCAP, hINO80, and TRRAP/TIP60 complexes, and the nutrient sensing complex Uri/Prefoldin. Within a core network of 65 unique proteins, we captured all known components of these complexes and novel protein associations, especially in the Uri/ Prefoldin complex. Finally, we constructed a probabilistic human interaction network composed of 557 protein pairs.

Original languageEnglish (US)
Pages (from-to)1454-1459
Number of pages6
JournalProceedings of the National Academy of Sciences of the United States of America
Volume105
Issue number5
DOIs
StatePublished - Feb 5 2008
Externally publishedYes

Keywords

  • Chromatin remodeling
  • Multidimensional protein identification technology
  • Normalized spectral abundance factor

ASJC Scopus subject areas

  • General

Fingerprint

Dive into the research topics of 'Probabilistic assembly of human protein interaction networks from label-free quantitative proteomics'. Together they form a unique fingerprint.

Cite this