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Peter Aspesi

Researcher at Novartis

Publications -  10
Citations -  7006

Peter Aspesi is an academic researcher from Novartis. The author has contributed to research in topics: Transcription factor & Biology. The author has an hindex of 5, co-authored 9 publications receiving 5756 citations. Previous affiliations of Peter Aspesi include North Carolina State University.

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The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity

TL;DR: The results indicate that large, annotated cell-line collections may help to enable preclinical stratification schemata for anticancer agents and the generation of genetic predictions of drug response in the preclinical setting and their incorporation into cancer clinical trial design could speed the emergence of ‘personalized’ therapeutic regimens.
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Erratum: Addendum: The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity (Nature (2012) 483 7391 (603-607))

TL;DR: Jordi Barretina, Giordano Caponigro, Nicolas Stransky, Kavitha Venkatesan, Adam A. Golub, Michael P. Morais, Jodi Meltzer, Judit Jané-Valbuena, Felipa A. Mapa, Joseph Thibault, Eva Bric-Furlong, Pichai Raman, Aaron Shipway, Ingo H. Engels, Jill Cheng, Guoying K. Yu
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Nannocystin A: an Elongation Factor 1 Inhibitor from Myxobacteria with Differential Anti-Cancer Properties

TL;DR: Biochemical and genetic evidence support an overlapping binding site of 1 with the anti-cancer compound didemnin B on EF-1α, and this myxobacterial chemotype offers an interesting starting point for further investigations of the potential of therapeutics targeting elongation factor 1.
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Phosphoinositide-signaling is one component of a robust plant defense response.

TL;DR: The dampening of InsP3-mediated signaling affects Ca2+ release, modulates defense gene expression and compromises plant defense responses, shows that phosphoinositide signaling is one component of the plant defense network and is involved in both basal and systemic responses.
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Systematic Chemogenetic Library Assembly

TL;DR: This work has assembled a chemogenetic library by data mining and crowdsourcing institutional expertise, and is sharing the approach, lessons learned, and disclosing the current collection of 4,185 compounds with their primary annotated gene targets.