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Michael P. Lisanti

Researcher at University of Salford

Publications -  635
Citations -  92034

Michael P. Lisanti is an academic researcher from University of Salford. The author has contributed to research in topics: Caveolae & Caveolin 1. The author has an hindex of 151, co-authored 631 publications receiving 85150 citations. Previous affiliations of Michael P. Lisanti include Peterson Institute for International Economics & Manchester Academic Health Science Centre.

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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

Caveolins, a Family of Scaffolding Proteins for Organizing “Preassembled Signaling Complexes” at the Plasma Membrane

TL;DR: Because the responsibilities assigned to caveolae continue to increase, this review will focus on: (i) caveolin structure/function and (ii) Caveolae-associated signal transduction.
Journal ArticleDOI

The reverse Warburg effect: Aerobic glycolysis in cancer associated fibroblasts and the tumor stroma

TL;DR: In this alternative model of tumorigenesis, the epithelial cancer cells instruct the normal stroma to transform into a wound-healing stroma, providing the necessary energy-rich micro-environment for facilitating tumor growth and angiogenesis, explaining its powerful predictive value.