Saradha VENKATACHALAPATHY
PhD Student, Mechanobiology Institute, National University of Singapore
E0018317@u.nus.edu
Level 10 T-Lab
National University of Singapore
5A Engineering Drive 1
Singapore 117411
Shadame Yeo Shuet Ting
Research Apprentice, Low Group
Arulchelvan SO Vijayakumar
Research Assistant, Kanchanawong Group
Clarissa Bernice Quah
Alumni, Yu Group
Wang Haiyang
Senior Research Fellow, Li Group
The mechanical editor
A recent study led by Dr. Shaobo Zhang and MBI Principal Investigator Associate Professor Timothy Saunders describes how periodic filopodial retraction caused by the contractile activity of transient Myosin II clusters at the cell leading edge ensures precise matching between primitive heart cells during heart development in Drosophila embryos. Learn more
A molecular brake
Recent study led by MBI Research Fellows Pan Meng and Ti Weng Chew and Principal Investigator Associate Professor Low Boon Chuan has revealed a role for BNIP-2 protein in scaffolding GEF-H1 and RhoA, following microtubule disassembly, and has described how this scaffolding is important for RhoA-dependent regulation of cell migration. Learn more
Saradha Venkatachalapathy
PhD Student
Recent Publications
- Venkatachalapathy S, Sreekumar D, Ratna P, and Shivashankar GV. Actomyosin contractility as a mechanical checkpoint for cell state transitions. Sci Rep 2022; 12(1):16063. [PMID: 36163393]
- Venkatachalapathy S, Jokhun DS, Andhari M, and Shivashankar GV. Single cell imaging-based chromatin biomarkers for tumor progression. Sci Rep 2021; 11(1):23041. [PMID: 34845273]
- Yang KD, Belyaeva A, Venkatachalapathy S, Damodaran K, Katcoff A, Radhakrishnan A, Shivashankar GV, and Uhler C. Multi-domain translation between single-cell imaging and sequencing data using autoencoders. Nat Commun 2021; 12(1):31. [PMID: 33397893]
- Yang KD, Damodaran K, Venkatachalapathy S, Soylemezoglu AC, Shivashankar GV, and Uhler C. Predicting cell lineages using autoencoders and optimal transport. PLoS Comput. Biol. 2020; 16(4):e1007828. [PMID: 32343706]
- Venkatachalapathy S, Jokhun DS, and Shivashankar GV. Multivariate analysis reveals activation-primed fibroblast geometric states in engineered 3D tumor microenvironments. Mol. Biol. Cell 2020;:mbcE19080420. [PMID: 32023167]
- Damodaran K, Venkatachalapathy S, Alisafaei F, Radhakrishnan AV, Sharma Jokhun D, Shenoy VB, and Shivashankar GV. Compressive force induces reversible chromatin condensation and cell geometry dependent transcriptional response. Mol. Biol. Cell 2018;:mbcE18040256. [PMID: 30256731]
- Roy B, Venkatachalapathy S, Ratna P, Wang Y, Jokhun DS, Nagarajan M, and Shivashankar GV. Laterally confined growth of cells induces nuclear reprogramming in the absence of exogenous biochemical factors. Proc. Natl. Acad. Sci. U.S.A. 2018;. [PMID: 29735717]
- Belyaeva A, Venkatachalapathy S, Nagarajan M, Shivashankar GV, and Uhler C. Network analysis identifies chromosome intermingling regions as regulatory hotspots for transcription. Proc. Natl. Acad. Sci. U.S.A. 2017;. [PMID: 29229825]
- Radhakrishnan AV, Jokhun DS, Venkatachalapathy S, and Shivashankar GV. Nuclear Positioning and Its Translational Dynamics Are Regulated by Cell Geometry. Biophys. J. 2017; 112(9):1920-1928. [PMID: 28494962]
- Mitra A, Venkatachalapathy S, Ratna P, Wang Y, Jokhun DS, and Shivashankar GV. Cell geometry dictates TNFα-induced genome response. Proc. Natl. Acad. Sci. U.S.A. 2017;. [PMID: 28461498]
