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
Congratulations to Kim Whye Leong for presenting excellent work at the Imaging Mouse Development Workshop held at EMBL Heidelberg!
Congratulations to Kim Whye Leong for presenting excellent work at the Imaging Mouse Development Workshop held at EMBL Heidelberg from 2 to 5 Sept 2024. Thanks for all the feedback from the expert audience!
Seeking Research Assistant in the labs of Dr. Natalie Dye and Dr. Alphée Michelot at the Mechanobiology Institute, NUS
We are seeking a Research Assistant to join the labs of Dr. Natalie Dye and Dr. Alphée Michelot at the Mechanobiology Institute, NUS.
Seeking Postdoctoral Research Fellow in the Chan Laboratory, Mechanobiology Institute, NUS
We are seeking to recruit a Postdoctoral Research Fellow in the Chan Laboratory at the Mechanobiology Institute, NUS.
Welcome to Daniel!
Daniel is a UROP intern who will be applying a machine learning approach to study follicle development.
Le Mai Tan Dat (Daniel)
UROPS Intern, Chan Group
Wang Shida
PhD Student, Class of August 2024, Lim Group
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]
