ArticleJournal of proteome research2015
Systematic identification of single amino acid variants in glioma stem-cell-derived chromosome 19 proteins.
Article in Journal of proteome research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
9 citing papers in PubMed, 22 citations in OpenAlex.
- Personalized Proteome: Comparing Proteogenomics and Open Variant Search Approaches for Single Amino Acid Variant Detection.Journal of proteome research · 2021Article
- Comprehensive Detection of Single Amino Acid Variants and Evaluation of Their Deleterious Potential in a PANC-1 Cell Line.Journal of proteome research · 2020Article
- Single Amino Acid Variant Discovery in Small Numbers of Cells.Journal of proteome research · 2019Article
- Multistage Ultraviolet Photodissociation Mass Spectrometry To Characterize Single Amino Acid Variants of Human Mitochondrial BCAT2.Analytical chemistry · 2018Article
- Large Scale Identification of Variant Proteins in Glioma Stem Cells.ACS chemical neuroscience · 2018Article
- Combined Proteomic-Molecular Epidemiology Approach to Identify Precision Targets in Brain Cancer.ACS chemical neuroscience · 2018Article
- Intact Protein Analysis at 21 Tesla and X-Ray Crystallography Define Structural Differences in Single Amino Acid Variants of Human Mitochondrial Branched-Chain Amino Acid Aminotransferase 2 (BCAT2).Journal of the American Society for Mass Spectrometry · 2017Article
- Single Amino Acid Variant Profiles of Subpopulations in the MCF-7 Breast Cancer Cell Line.Journal of proteome research · 2017Article
- Towards the Molecular Foundations of Glutamatergic-targeted Antidepressants.Current neuropharmacology · 2017Review
Corrections and comments
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Authors and funding
12 authors at 3 institutions in 2 countries.
Funding
Abstract
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.
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Registered trials
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