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Julian J. Lum

Researcher at University of Victoria

Publications -  39
Citations -  8721

Julian J. Lum is an academic researcher from University of Victoria. The author has contributed to research in topics: Autophagy & T cell. The author has an hindex of 18, co-authored 39 publications receiving 7008 citations. Previous affiliations of Julian J. Lum include BC Cancer Agency.

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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 (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

Autophagy inhibition enhances therapy-induced apoptosis in a Myc-induced model of lymphoma

TL;DR: Evidence that autophagy serves as a survival pathway in tumor cells treated with apoptosis activators and a rationale for the use of autophagic inhibitors such as chloroquine in combination with therapies designed to induce apoptosis in human cancers are provided.
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Measurements of tumor cell autophagy predict invasiveness, resistance to chemotherapy, and survival in melanoma

TL;DR: Three dimensional culture mimics the tumor microenvironment better than monolayer culture and is an appropriate model for studying therapeutic combinations involving autophagy modulators.
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Targeting autophagy: the Achilles' heel of cancer.

TL;DR: Key topics of discussion were determining which stage of autophagy would be the ideal target for inhibition to produce the highest impact, and which cancers or cancer subtypes would beThe answers to these questions may be a turning point in cancer therapy research.