Proteomic profiling dataset of chemical perturbations in multiple biological backgrounds

• Published in: Scientific data Vol. 8; no. 1; pp. 226 - 10
• Main Authors: Dele-Oni, Deborah O., Christianson, Karen E., Egri, Shawn B., Vaca Jacome, Alvaro Sebastian, DeRuff, Katherine C., Mullahoo, James, Sharma, Vagisha, Davison, Desiree, Ko, Tak, Bula, Michael, Blanchard, Joel, Young, Jennie Z., Litichevskiy, Lev, Lu, Xiaodong, Lam, Daniel, Asiedu, Jacob K., Toder, Caidin, Officer, Adam, Peckner, Ryan, MacCoss, Michael J., Tsai, Li-Huei, Carr, Steven A., Papanastasiou, Malvina, Jaffe, Jacob D.
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 25.08.2021; Nature Publishing Group; Nature Portfolio
• Subjects: 631/154/1435/2163; 631/1647/296; 631/67/70; 631/80/458; 631/80/86; Antineoplastic Agents - toxicity; Astrocytes; Astrocytes - drug effects; Astrocytes - metabolism; Cardiotoxins - toxicity; Cell Line, Tumor; Chromatin; Data Descriptor; Gene expression; Humanities and Social Sciences; Humans; multidisciplinary; Phosphorylation - drug effects; Protein Kinase Inhibitors - toxicity; Protein Processing, Post-Translational - drug effects; Proteome; Proteomics; Quality control; Science; Science (multidisciplinary)

While gene expression profiling has traditionally been the method of choice for large-scale perturbational profiling studies, proteomics has emerged as an effective tool in this context for directly monitoring cellular responses to perturbations. We previously reported a pilot library containing 340...