Showing posts with label protein network. Show all posts
Showing posts with label protein network. Show all posts

Thursday, May 26, 2011

Several baffling puzzles in protein molecular structure solved with new method


The structures of many protein molecules remain unsolved even after experts apply an extensive array of approaches. An international collaboration has led to a new, high-performance method that rapidly determined the structure of protein molecules in several cases where previous methods had failed.
The usefulness of the new method is reported May 1 inNature advanced online publication. The lead authors are Dr. Frank DiMaio of the University of Washington (UW) in Seattle and Dr. Thomas C. Terwilliger of Los Alamos National Laboratory in New Mexico. The senior author is Dr. David Baker, of the UW Department of Biochemistry.

Monday, March 28, 2011

Network-Based Pipeline for Analyzing MS Data: An Application toward Liver Cancer

Current limitations in proteome analysis by high-throughput mass spectrometry (MS) approaches have sometimes led to incomplete (or inconclusive) data sets being published or unpublished. In this work, we used an iTRAQ reference data on hepatocellular carcinoma (HCC) to design a two-stage functional analysis pipeline to widen and improve the proteome coverage and, subsequently, to unveil the molecular changes that occur during HCC progression in human tumorous tissue. The first involved functional cluster analysis by incorporating an expansion step on a cleaned integrated network. The second used an in-house developed pathway database where recovery of shared neighbors was followed by pathway enrichment analysis. In the original MS data set, over 500 proteins were detected from the tumors of 12 male patients, but in this paper we reported an additional 1000 proteins after application of our bioinformatics pipeline. Through an integrative effort of network cleaning, community finding methods, and network analysis, we also uncovered several biologically interesting clusters implicated in HCC. We established that HCC transition from a moderate to poor stage involved densely connected clusters that comprised of PCNA, XRCC5, XRCC6, PARP1, PRKDC, and WRN. From our pathway enrichment analyses, it appeared that the HCC moderate stage, unlike the poor stage, is enriched in proteins involved in immune responses, thus suggesting the acquisition of immuno-evasion. Our strategy illustrates how an original oncoproteome could be expanded to one of a larger dynamic range where current technology limitations prevent/limit comprehensive proteome characterization.


read more