| Literature DB >> 31467290 |
Regine M Schoenherr1, Dongqing Huang1, Uliana J Voytovich1, Richard G Ivey1, Jacob J Kennedy1, Richard G Saul2, Simona Colantonio2, Rhonda R Roberts2, Joseph G Knotts2, Jan A Kaczmarczyk2, Candice Perry2, Stephen M Hewitt3, William Bocik2, Gordon R Whiteley2, Tara Hiltke3, Emily S Boja3, Henry Rodriguez3, Jeffrey R Whiteaker1, Amanda G Paulovich4.
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.Entities:
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Year: 2019 PMID: 31467290 PMCID: PMC6715692 DOI: 10.1038/s41597-019-0166-7
Source DB: PubMed Journal: Sci Data ISSN: 2052-4463 Impact factor: 6.444
Fig. 1Overview of the datasets describing validation of a novel suite of mAbs.
Summary of data records associated with validation of the novel suite of antibodies.
| Data record | Data record location | Application | # Antibodies tested | # Antibodies positive | Test matrix |
|---|---|---|---|---|---|
| 2 | ‘Western blot data’[ | Western blotting | 119 | 63 | recombinant protein |
| 2 | ‘Western blot data’[ | Western blotting | 63 | 41 | cell lines |
| 3 | PRIDE[ | Immunoprecipitation | 61 | 56 | recombinant protein |
| 3 | PRIDE[ | Immunoprecipitation | 57 | 15 | cell lines |
| 4 | ‘Protein array data’[ | Protein array | 62 | 17 | cell lines |
| 5 | ‘Tissue immunohistochemistry data’[ | Immunohistochemistry | 54 | 27 | cell lines and tissues |
| 6 | Panorama Public Repository[ | Immuno-MRM | 104 | 89 | cell lines |
| Design Type(s) | disease analysis objective |
| Measurement Type(s) | immunocapture • immunoprecipitation • antibody • in situ immunoassay • ex situ immunoassay |
| Technology Type(s) | western blot analysis • liquid chromatography-tandem mass spectrometry • immuno-MRM • immunohistochemistry • RPPA protein profiling assay |
| Factor 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 • HEK293 |