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A dataset describing a suite of novel antibody reagents for the RAS signaling network

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RAS genes are frequently mutated in cancer and have for decades eluded effective therapeutic attack. The National Cancer Institute’s RAS Initiative has a focus on understanding pathways and discovering therapies… Click to show full abstract

RAS genes are frequently mutated in cancer and have for decades eluded effective therapeutic attack. The National Cancer Institute’s RAS Initiative has a focus on understanding pathways and discovering therapies for RAS-driven cancers. Part of these efforts is the generation of novel reagents to enable the quantification of RAS network proteins. Here we present a dataset describing the development, validation (following consensus principles developed by the broader research community), and distribution of 104 monoclonal antibodies (mAbs) enabling detection of 27 phosphopeptides and 69 unmodified peptides from 20 proteins in the RAS network. The dataset characterizes the utility of the antibodies in a variety of applications, including Western blotting, immunoprecipitation, protein array, immunohistochemistry, and targeted mass spectrometry. All antibodies and characterization data are publicly available through the CPTAC Antibody Portal, Panorama Public Repository, and/or PRIDE databases. These reagents will aid researchers in discerning pathways and measuring expression changes in the RAS signaling network.Design Type(s)disease analysis objectiveMeasurement Type(s)immunocapture • immunoprecipitation • antibody • in situ immunoassay • ex situ immunoassayTechnology Type(s)western blot analysis • liquid chromatography-tandem mass spectrometry • immuno-MRM • immunohistochemistry • RPPA protein profiling assayFactor Type(s)Sample Characteristic(s)Homo sapiens • MCF-10A cell • BxPC-3 cell • NCI cell • breast • ovary • colon • lung • A549 cell • NCI-H1792 cell • HeLa cell • HEK293Machine-accessible metadata file describing the reported data (ISA-Tab format)

Keywords: dataset describing; network; antibody; ras signaling; cell

Journal Title: Scientific Data
Year Published: 2019

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