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Nicola Brunetti-Pierri

Researcher at University of Naples Federico II

Publications -  271
Citations -  19424

Nicola Brunetti-Pierri is an academic researcher from University of Naples Federico II. The author has contributed to research in topics: Medicine & Biology. The author has an hindex of 45, co-authored 228 publications receiving 15895 citations. Previous affiliations of Nicola Brunetti-Pierri include Institute for High Performance Computing and Networking, CNR & Baylor College of Medicine.

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Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition)

Daniel J. Klionsky, +2522 more
- 21 Jan 2016 - 
TL;DR: In this paper, the authors present a set of guidelines for the selection and interpretation of methods for use by investigators who aim to examine macro-autophagy and related processes, as well as for reviewers who need to provide realistic and reasonable critiques of papers that are focused on these processes.
Journal ArticleDOI

Guidelines for the use and interpretation of assays for monitoring autophagy

Daniel J. Klionsky, +1287 more
- 01 Apr 2012 - 
TL;DR: These guidelines are presented for the selection and interpretation of methods for use by investigators who aim to examine macroautophagy and related processes, as well as for reviewers who need to provide realistic and reasonable critiques of papers that are focused on these processes.
Journal ArticleDOI

Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition)

Daniel J. Klionsky, +2983 more
- 08 Feb 2021 - 
TL;DR: In this article, the authors present a set of guidelines for investigators to select and interpret methods to examine autophagy and related processes, and for reviewers to provide realistic and reasonable critiques of reports that are focused on these processes.
Journal ArticleDOI

Discovery of drug mode of action and drug repositioning from transcriptional responses

TL;DR: This work developed an automatic and robust approach that exploits similarity in gene expression profiles following drug treatment, across multiple cell lines and dosages, to predict similarities in drug effect and MoA, and correctly predicted the MoA for nine anticancer compounds and was able to discover an unreported effect for a well-known drug.
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Recurrent reciprocal 1q21.1 deletions and duplications associated with microcephaly or macrocephaly and developmental and behavioral abnormalities

TL;DR: It is proposed that recurrent reciprocal microdeletions and microduplications within 1q21.1 represent previously unknown genomic disorders characterized by abnormal head size along with a spectrum of developmental delay, neuropsychiatric abnormalities, dysmorphic features and congenital anomalies.