Proteomic profiling dataset of chemical perturbations in multiple biological backgrounds

Proteomic profiling dataset of chemical perturbations in multiple biological backgrounds

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While gene expression profling has traditionally been the method of choice for large-scale perturbational profling studies, proteomics has emerged as an efective tool in this context for directly monitoring cellular responses to perturbations. We previously reported a pilot library containing 3400 p...

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Main Authors: Dele-Oni, Deborah O (Author), Christianson, Karen E (Author), Egri, Shawn B (Author), Vaca Jacome, Alvaro Sebastian (Author), DeRuff, Katherine C (Author), Mullahoo, James (Author), Sharma, Vagisha (Author), Davison, Desiree (Author), Ko, Tak (Author), Bula, Michael (Author), Blanchard, Joel (Author), Young, Jennie Z (Author), Litichevskiy, Lev (Author), Lu, Xiaodong (Author), Lam, Daniel (Author), Asiedu, Jacob K (Author), Toder, Caidin (Author), Officer, Adam (Author), Peckner, Ryan (Author), MacCoss, Michael J (Author), Tsai, Li-Huei (Author), Carr, Steven A (Author), Papanastasiou, Malvina (Author), Jaffe, Jacob D (Author)
Format: Article
Language:English
Published: Springer Science and Business Media LLC, 2021-12-08T16:55:53Z.
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