Proteomic profiling dataset of chemical perturbations in multiple biological backgrounds

Proteomic profiling dataset of chemical perturbations in multiple biological backgrounds

Measurement(s) drug perturbation response Technology Type(s) proteomic profiling Factor Type(s) cell line • drug Sample Characteristic - Organism Homo sapiens Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.14744064

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Auteurs principaux: Deborah O. Dele-Oni, Karen E. Christianson, Shawn B. Egri, Alvaro Sebastian Vaca Jacome, Katherine C. DeRuff, James Mullahoo, Vagisha Sharma, Desiree Davison, Tak Ko, Michael Bula, Joel Blanchard, Jennie Z. Young, Lev Litichevskiy, Xiaodong Lu, Daniel Lam, Jacob K. Asiedu, Caidin Toder, Adam Officer, Ryan Peckner, Michael J. MacCoss, Li-Huei Tsai, Steven A. Carr, Malvina Papanastasiou, Jacob D. Jaffe
Format: article
Langue:EN
Publié: Nature Portfolio 2021
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Science
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Accès en ligne:https://doaj.org/article/b86900b2f9b8425aac6d9c1d14f49b98
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Résumé:Measurement(s) drug perturbation response Technology Type(s) proteomic profiling Factor Type(s) cell line • drug Sample Characteristic - Organism Homo sapiens Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.14744064

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