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Jinzhi Lei

Researcher at Tsinghua University

Publications -  10
Citations -  5315

Jinzhi Lei is an academic researcher from Tsinghua University. The author has contributed to research in topics: Biology & Medicine. The author has an hindex of 3, co-authored 3 publications receiving 4873 citations.

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Journal ArticleDOI

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 Article

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

Daniel J. Klionsky, +2459 more
- 01 Jan 2016 - 
Journal ArticleDOI

Erratum to: Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition) (Autophagy, 12, 1, 1-222, 10.1080/15548627.2015.1100356

Daniel J. Klionsky, +2522 more
- 01 Jan 2016 - 
TL;DR: Author(s): Klionsky, DJ; Abdelmohsen, K; Abe, A; Abedin, MJ; Abeliovich, H; A Frozena, AA; Adachi, H, Adeli, K, Adhihetty, PJ; Adler, SG; Agam, G; Agarwal, R; Aghi, MK; Agnello, M; Agostinis, P; Aguilar, PV; Aguirre-Ghis
Posted ContentDOI

Mechanism of treatment-free remission in patients with chronic myeloid leukemia revealed by a computational model of CML evolution

Xiulan Lai, +3 more
- 21 May 2022 - 
TL;DR: To understand the mechanism of TFR in patients with CML, the competition between leukemia stem cell and bone marrow microenvironment is considered, and a mathematical model is developed to investigate the CML progression dynamics to reveal a mechanism of dimorphic response after TKI discontinuation.
Journal ArticleDOI

Optimal treatment strategy of cancers with intratumor heterogeneity.

Haifeng Zhang, +1 more
- 14 Sep 2022 - 
TL;DR: In this article , a mathematical model was developed to study the dynamic interaction between normal, drug-sensitive and drug-resistant cells in response to cancer treatment, and the optimal treatment that minimizes both the cancer cells count and the total dose of drugs was investigated.