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
Shen Xingyu
PhD Student, Class of January 2021, Li Group, Young Group
Sun Yuze
PhD Student, Class of January 2021, Yan Jie Group
The rise of spectro-microscopes
A recent study from the Grenci Lab at the Mechanobiology Institute, National University of Singapore has described a new, highly-sensitive IR spectroscopy technique that overcomes the limitations of existing techniques by utilizing optical components that are commonly used in existing visible light imaging techniques. Learn more
MBI welcomes new 2021 graduate students
The research community at MBI is delighted to welcome these new students in January 2021, when they will be starting their lab rotations, and planting the seeds for many exciting collaborative interdisciplinary research projects during their PhD.
Alokendra Ghosh
Schmidt AI in Science Postdoctoral Fellow, Li Group
Tan Zi Yi Rachel
Graduate Student, Low 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]
