Cited 4 time in webofscience Cited 5 time in scopus

Cellular Stress-Modulating Drugs Can Potentially Be Identified by in Silico Screening with Connectivity Map (CMap)

Title
Cellular Stress-Modulating Drugs Can Potentially Be Identified by in Silico Screening with Connectivity Map (CMap)
Authors
Gao, Yu RongKim, Sung WooLee, Yun IlLee, Jaemin
DGIST Authors
Lee, Yun IlLee, Jaemin
Issue Date
2019-11
Citation
International Journal of Molecular Sciences, 20(22)
Type
Article
Article Type
Review
Author Keywords
cellular stressendoplasmic reticulum stressER stressmitochondrial stressoxidative stresshypoxiaconnectivity mapCMapdrug discovery
Keywords
UNFOLDED PROTEIN RESPONSEENDOPLASMIC-RETICULUM STRESSHEAT-SHOCK FACTOR-1TRANSCRIPTION FACTORGLUCOSE-HOMEOSTASISGENE-EXPRESSIONMESSENGER-RNAER STRESSTRANSMEMBRANE PROTEINOXIDATIVE STRESS
ISSN
1661-6596
Abstract
Accompanied by increased life span, aging-associated diseases, such as metabolic diseases and cancers, have become serious health threats. Recent studies have documented that aging-associated diseases are caused by prolonged cellular stresses such as endoplasmic reticulum (ER) stress, mitochondrial stress, and oxidative stress. Thus, ameliorating cellular stresses could be an effective approach to treat aging-associated diseases and, more importantly, to prevent such diseases from happening. However, cellular stresses and their molecular responses within the cell are typically mediated by a variety of factors encompassing different signaling pathways. Therefore, a target-based drug discovery method currently being used widely (reverse pharmacology) may not be adequate to uncover novel drugs targeting cellular stresses and related diseases. The connectivity map (CMap) is an online pharmacogenomic database cataloging gene expression data from cultured cells treated individually with various chemicals, including a variety of phytochemicals. Moreover, by querying through CMap, researchers may screen registered chemicals in silico and obtain the likelihood of drugs showing a similar gene expression profile with desired and chemopreventive conditions. Thus, CMap is an effective genome-based tool to discover novel chemopreventive drugs. © 2019 by the authors. Licensee MDPI, Basel, Switzerland.
URI
http://hdl.handle.net/20.500.11750/10914
DOI
10.3390/ijms20225601
Publisher
Multidisciplinary Digital Publishing Institute (MDPI)
Related Researcher
  • Author Lee, Jaemin Aging, Metabolism and Physiology Lab
  • Research Interests
Files:
Collection:
Department of New BiologyAging, Metabolism and Physiology Lab1. Journal Articles
Division of Biotechnology1. Journal Articles


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