Systematic Identification of Single Amino Acid Variants in Glioma Stem-Cell-Derived Chromosome 19 Proteins
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- 作者：Cheryl F. Lichti ; Ekaterina Mostovenko ; Paul A. Wadsworth ; Gillian C. Lynch ; B. Montgomery Pettitt ; Erik P. Sulman ; Qianghu Wang ; Frederick F. Lang ; Melinda Rezeli ; Gy枚rgy Marko-Varga ; 脕kos V茅gv谩ri ; Carol L. Nilsson
- 刊名：Journal of Proteome Research
- 出版年：2015
- 出版时间：February 6, 2015
- 年：2015
- 卷：14
- 期：2
- 页码：778-786
- 全文大小：324K
- ISSN：1535-3907
文摘
Novel proteoforms with single amino acid variations represent proteins that often have altered biological functions but are less explored in the human proteome. We have developed an approach, searching high quality shotgun proteomic data against an extended protein database, to identify expressed mutant proteoforms in glioma stem cell (GSC) lines. The systematic search of MS/MS spectra using PEAKS 7.0 as the search engine has recognized 17 chromosome 19 proteins in GSCs with altered amino acid sequences. The results were further verified by manual spectral examination, validating 19 proteoforms. One of the novel findings, a mutant form of branched-chain aminotransferase 2 (p.Thr186Arg), was verified at the transcript level and by targeted proteomics in several glioma stem cell lines. The structure of this proteoform was examined by molecular modeling in order to estimate conformational changes due to mutation that might lead to functional modifications potentially linked to glioma. Based on our initial findings, we believe that our approach presented could contribute to construct a more complete map of the human functional proteome.