scispace - formally typeset
M

Ming Chen

Researcher at University of Tennessee

Publications -  29
Citations -  2413

Ming Chen is an academic researcher from University of Tennessee. The author has contributed to research in topics: Mitochondrial fission & Mitochondrion. The author has an hindex of 14, co-authored 26 publications receiving 1856 citations. Previous affiliations of Ming Chen include Baylor University & Chinese Academy of Sciences.

Papers
More filters
Journal ArticleDOI

An Anti-Parkinson's Disease Drug via Targeting Adenosine A2A Receptor Enhances Amyloid-β Generation and γ-Secretase Activity

TL;DR: It is identified that an anti-Parkinson’s disease drug, Istradefylline, could enhance Aβ generation in various cell lines and primary neuronal cells of APP/PS1 mouse and modulate γ-secretase activity, which may bring some undesired effects in the central nervous system (CNS).
Journal ArticleDOI

New extension software modules to enhance searching and display of transcriptome data in Tripal databases.

TL;DR: To expand the utility of the Tripal software system, particularly for RNASeq data, two new extension modules are developed, including Tripal Elasticsearch and Tripal Analysis Expression.
Journal ArticleDOI

New interfaces on MiD51 for Drp1 recruitment and regulation

TL;DR: It is shown that the interaction between Drp1 and MiD51 is regulated by GTP binding and depends on the polymerization ofDrp1, and that dimerization of MiD 51, relevant to residue C452, is required for mitochondrial dynamics regulation.
Journal ArticleDOI

Diagnostic performance of interferon-gamma releasing assay in HIV-infected patients in China

TL;DR: T-SPOT.TB is superior in screening ATB in HIV-infected patients in China over traditional TST, and both tests work better for patients with extra-pulmonary conditions.
Journal ArticleDOI

Tripal and Galaxy: supporting reproducible scientific workflows for community biological databases.

TL;DR: The Tripal Galaxy module helps reduce duplication of effort by allowing site developers to spend time constructing workflows and building their applications rather than rebuilding infrastructure for job management of multi-step applications.