Proteomic analysis of 28 tissue types across 40 cancer types reveals new biomarkers of cancer vulnerabilities. NBThighlight
There are 8,498 proteins with evidence of cell types and broad post-transcriptional regulationRandom downsampling reveals highly connected and co-regulated protein networksThe proteome provides unique insights into disease biology beyond the genome and transcriptome. A lack of large proteomic datasets has restricted the identification of new cancer biomarkers. Here, proteomes of 949 cancer cell lines across 28 tissue types are analyzed by mass spectrometry.
Deploying a workflow to quantify 8,498 proteins, these data capture evidence of cell-type and post-transcriptional modifications. Integrating multi-omics, drug response, and CRISPR-Cas9 gene essentiality screens with a deep learning-based pipeline reveals thousands of protein biomarkers of cancer vulnerabilities that are not significant at the transcript level. The power of the proteome to predict drug response is very similar to that of the transcriptome.
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