Proteomics research papers of note, October 2010
Journal: Advances in Experimental Medicine and Biology, 2010; 680
Title: Protein identification using receptor arrays and mass spectrometry
Authors: Langlois TR; Vachet RW; Mettu RR.
The researchers propose a scoring methodology and algorithm for protein identification via mass spectrometry using receptor arrays, which separate peptides based on their isoelectric points. According to the abstract, in simulation experiments the authors achieved on average a 30 percent reduction in false-positive rates over existing methods while achieving very high rates of true-positive identifications.
Journal: Journal of Alzheimer's Disease, Oct. 7 [Epub ahead of print]
Title: Proteome-based plasma markers of brain amyloid-β deposition in non-demented older individuals.
Authors: Thambisetty M; Tripaldi R; Riddoch-Contreras J; Hye A; An Y; Campbell J; Sojkova J; Kinsey A; Lynham S; Zhou Y; Ferrucci L; Wong DF; Lovestone S; Resnick SM.
The researchers used 2D gel electrophoresis and mass spectrometry to look for plasma proteins associated with brain amyloid-β burden in non-demented individuals. According to the abstract they found a strong correlation between ApoE concentration and Aβ burden.
Journal: BMC Biotechnology, Oct. 8
Title: A miniaturized sandwich immunoassay platform for the detection of protein-protein interactions
Authors: Liu Q; Chen Q; Wang J; Zhang Y; Zhou Y; Lin C; He W; He F; Xu D.
The authors combined antibody array technology with co-immunoprecipitation methods to build a miniaturized sandwich immunoassay platform capable of high-throughput analysis of protein-protein interactions.
Journal: Molecular & Cellular Proteomics, Oct. 12 [Epub ahead of print]
Title: Quantitative protein and mRNA profiling shows selective post-transcriptional control of protein expression by vasopressin in kidney cells
Authors: Khositseth S; Pisitkun T; Slentz DH; Wang G; Hoffert JD; Knepper MA; Yu MJ.
The authors quantified protein expression levels and corresponding mRNA levels for roughly 3,000 proteins in kidney cells, comparing cells treated with the hormone vasopressing versus vehicle-treated samples. They found that in the case of roughly one-third of the differentially expressed proteins, no change occurred in the levels of the corresponding mRNA, suggesting the importance of post-transcriptional regulation in vasopressin response.
Journal: Molecular & Cellular Proteomics, Oct. 13
Title: The surprising composition of the salivary proteome of preterm human newborn
Authors: Castagnola M; Inzitari R; Fanali C; Iavarone F; Vitali A; Desiderio C; Vento G; Tirone C; Romagnoli C; Cabras T; Manconi B; Sanna MT; Boi R; Pisano E; Olianas A; Pellegrini M; Nemolato S; Heizmann CW; Faa G; Messana I.
Using HPLC-ESI-MS, the authors identified more than 40 proteins in human preterm newborn saliva that are often undetectable in human saliva, suggesting that analysis of these proteins in the saliva of preterm newborns could be a non-invasive way to collect information on the molecular mechanisms of human fetal oral development.
Journal: Proteome Science, Oct. 18
Title: Analysis of proteome response to the mobile phone radiation in two types of human primary endothelial cells
Authors: Nylund R; Kuster N; Leszczynski D.
The researchers examined the proteome of human umbilical vein endothelial cells and primary human brain microvascular endothelial cells after exposing them for one hour to 1,800 MHz GSm mobile phone radiation. According to the abstract, mobile phone radiation exposure did not affect protein expression.
Journal: Molecular and Cellular Biochemistry, Oct. 20 [Epub ahead of print]
Title: Proteome analysis of human pancreatic cancer cell lines with highly liver metastatic potential by antibody microarray
Authors: Shi W; Meng Z; Chen Z; Luo J; Liu L.
Using antibody arrays the researchers searched for potential protein markers for metastatic progression in liver cancer, discovering 40 proteins that were differentially regulated, four of which they validated by Western blotting. Of the 40 proteins, 14 were up-regulated and 26 were down-regulated with most of the up-regulated proteins involved in tumor signal transduction and most of the down-regulated involved in cell differentiation.
Journal: Electrophoresis, Oct. 31
Title: New method for prefractionation of plasma for proteomic analysis
Authors: Fitzgerald A; Walsh BJ.
The authors present a method of prefractionating complex samples such as human plasma based on proteins' molecular weights and charges to allow for improved detection of lower abundance proteins.
Journal: ACS Chemical Biology, Nov 1 [Epub ahead of print]
Title: SIRT3 substrate specificity determined by peptide arrays and machine learning
Authors: Smith BC; Settles B; Hallows WC; Craven MW; Denu JM.
The authors developed a machine-learning method to predict substrates of SIRT3, the dominant protein deacetaylase in mitochondria, and applied it to the mitochondrial proteome to predict binding site affinity of all mitochondrial lysine sites. Growing evidence suggests that protein acetylation may be a major regulatory mechanism rivaling phosphorylation, and this analysis suggests SIRT3 substrates may be involved in metabolic pathways like the urea cycle, ATP synthesis, and fatty acid oxidation.