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Quantitative Exploratory Proteomics Analysis of Glioblastoma in Initial and Recurrent Tumors

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NIAID Data Ecosystem2026-03-13 收录
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https://www.omicsdi.org/dataset/ega/EGAS00001006395
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Glioblastoma samples from 11 patients were obtained at initial and recurrent tumor stages. Proteins were extracted, identified and quantified via tandem mass spectrometry based on a TMT isobaric labelling approach. Quatitative proteomics reveals 146 differentially abundant proteins using a patient-matched statistical modelling. Analysis of proteolytic processing reveals differential proteolytic patterns in recurrent tumors. Proteogenomics reveals the presense of 30 single-amino acid variants present in glioblastoma tumor and 1 of those as increased in recurrent tumor.EGA study EGAS00001006395
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2022-08-25
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