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
Nur Faezah Begum Binte Akbar Hussain
Research Assistant, Hanry Yu Group
The Chan lab is getting more culturally diverse!
The Chan lab welcomes research fellows Anna Jaeschke from Germany and Arikta Biswas from India! Anna will be applying her expertise on matrix biology and bioengineering to understand ovarian ageing, while Arikta will develop new imaging and biophysical approaches to study how mechanical stress impacts follicle morphogenesis and oocyte functions.
Nicole Loh Kit Ying
Alumni, Chan Group
Keeping a steady beat
AlumnNUS magazine interviews Prof Li and Prof Roger Foo from NUS Medicine about their ongoing collaboration that bridges basic science and clinical practice to understand the ageing heart.
Anna Jaeschke
Research Fellow, Chan Group
Probing follicle mechanical environment using light!
Our late work Mechanical mapping of mammalian follicle development using Brillouin microscopy is out in Communications Biology! Great collaboration with the Prevedel lab at EMBL Heidelberg.
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]
