Monika Mehta

Dr. Monika Mehta


Research Focus & Metrics

Academic Career Length

23Years (2004-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 October 2019 in Cancer Cell
Verified
Journal Article
Open access
LMLichun Ma
Lichun Ma
MHMaria O. Hernandez
Maria O. Hernandez
YZYongmei Zhao
Yongmei Zhao
MMMonika Mehta
Monika Mehta
BTBao Tran
Bao Tran
XWXin Wei Wang
Xin Wei Wang
Cellular diversity in tumors is a key factor for therapeutic failures and lethal outcomes of solid malignancies. Here, we determined the single-cell transcriptomic landscape of liver cancer biospecimens from 19 patients. We found varying degrees of heterogeneity in malignant cells within and between tumors and diverse landscapes of tumor microenvironment (TME). Strikingly, tumors with higher transcriptomic diversity were associated with patient's worse overall survival. We found a link between hypoxia-dependent vascular endothelial growth factor expression in tumor diversity and TME polarization. Moreover, T cells from higher heterogeneous tumors showed lower cytolytic activities. Consistent results were found using bulk genomic and transcriptomic profiles of 765 liver tumors. Our results offer insight into the diverse ecosystem of liver cancer and its impact on patient prognosis.

3 December 2010 in Science
Verified
Journal Article
Closed access
PDF file
SBSourav Bandyopadhyay
Sourav Bandyopadhyay
MMMonika Mehta
Monika Mehta
DKDwight Kuo
Dwight Kuo
MSMin-Kyung Sung
Min-Kyung Sung
RCRyan Chuang
Ryan Chuang
TITrey Ideker
Trey Ideker
DNA Damage Pathways Revealed: Despite the dynamic nature of cellular responses, the genetic networks that govern these responses have been mapped primarily as static snapshots. Bandyopadhyay et al. (p. 1385 ; see the Perspective by Friedman and Schuldiner ) report a comparison of large genetic interactomes measured among all yeast kinases, phosphatases, and transcription factors, as the cell responded to DNA damage. The interactomes revealed were highly dynamic structures that changed dramatically with changing conditions. These dynamic interactions reveal genetic relationships that can be more effective than classical “static” interactions (for example, synthetic lethals and epistasis maps) in identifying pathways of interest.

12 February 2020 in Science Translational Medicine
Verified
Journal Article
Closed access
PDF file
JJJesse Jaynes
Jesse Jaynes
RSRushikesh Sable
Rushikesh Sable
MRMichael Ronzetti
Michael Ronzetti
WBWendy Bautista
Wendy Bautista
ZKZachary Knotts
Zachary Knotts
URUdo Rudloff
Udo Rudloff
Innate defense regulator RP-182 targets CD206 high M2-like macrophages in malignant and noncancerous diseases.

1 July 2018 in Hepatology
Verified
Journal Article
Closed access
PDF file
HZHongping Zheng
Hongping Zheng
YPYotsawat Pomyen
Yotsawat Pomyen
MHMaria Olga Hernandez
Maria Olga Hernandez
CLCaiyi Li
Caiyi Li
FLFerenc Livak
Ferenc Livak
XWXin Wei Wang
Xin Wei Wang

1 March 2009 in Cell
Verified
Journal Article
Closed access
DFDorothea Fiedler
Dorothea Fiedler
HBHannes Braberg
Hannes Braberg
MMMonika Mehta
Monika Mehta
GCGal Chechik
Gal Chechik
GCGerard Cagney
Gerard Cagney
NKNevan J. Krogan
Nevan J. Krogan

9 September 2021 in Nature Biotechnology
Verified
Journal Article
Closed access
PDF file
LFLi Tai Fang
Li Tai Fang
BZBin Zhu
Bin Zhu
YZYongmei Zhao
Yongmei Zhao
WCWanqiu Chen
Wanqiu Chen
ZYZhaowei Yang
Zhaowei Yang
WXWenming Xiao
Wenming Xiao