| Multi-domain translation between single-cell imaging and sequencing data using autoencoders K Dai Yang, A Belyaeva, S Venkatachalapathy, K Damodaran, A Katcoff, ... Nature Communications 12 (1), 1-10, 2021 | 147 | 2021 |
| Compressive force induces reversible chromatin condensation and cell geometry–dependent transcriptional response K Damodaran, S Venkatachalapathy, F Alisafaei, AV Radhakrishnan, ... Molecular biology of the cell 29 (25), 3039-3051, 2018 | 147 | 2018 |
| Laterally confined growth of cells induces nuclear reprogramming in the absence of exogenous biochemical factors B Roy, S Venkatachalapathy, P Ratna, Y Wang, DS Jokhun, M Nagarajan, ... Proceedings of the National Academy of Sciences 115 (21), E4741-E4750, 2018 | 85 | 2018 |
| Predicting cell lineages using autoencoders and optimal transport KD Yang, K Damodaran, S Venkatachalapathy, AC Soylemezoglu, ... PLoS computational biology 16 (4), e1007828, 2020 | 79* | 2020 |
| Cell geometry dictates TNFα-induced genome response A Mitra, S Venkatachalapathy, P Ratna, Y Wang, DS Jokhun, ... Proceedings of the National Academy of Sciences 114 (20), E3882-E3891, 2017 | 64 | 2017 |
| Network analysis identifies chromosome intermingling regions as regulatory hotspots for transcription A Belyaeva, S Venkatachalapathy, M Nagarajan, GV Shivashankar, ... Proceedings of the National Academy of Sciences 114 (52), 13714-13719, 2017 | 52 | 2017 |
| Multivariate analysis reveals activation-primed fibroblast geometric states in engineered 3D tumor microenvironments S Venkatachalapathy, DS Jokhun, GV Shivashankar Molecular Biology of the Cell 31 (8), 803-812, 2020 | 9 | 2020 |
| Nuclear positioning and its translational dynamics are regulated by cell geometry AV Radhakrishnan, DS Jokhun, S Venkatachalapathy, GV Shivashankar Biophysical Journal 112 (9), 1920-1928, 2017 | 9 | 2017 |
| Single cell imaging-based chromatin biomarkers for tumor progression S Venkatachalapathy, DS Jokhun, M Andhari, GV Shivashankar Scientific Reports 11 (1), 23041, 2021 | 8 | 2021 |
| Multi-domain translation between single-cell imaging and sequencing data using autoencoders. Nat. Commun. 12, 31 KD Yang, A Belyaeva, S Venkatachalapathy, K Damodaran, A Katcoff, ... | 7 | 2021 |
| Unsupervised representation learning of chromatin images identifies changes in cell state and tissue organization in DCIS X Zhang, S Venkatachalapathy, D Paysan, P Schaerer, C Tripodo, ... Nature Communications 15 (1), 6112, 2024 | 2 | 2024 |
| Actomyosin contractility as a mechanical checkpoint for cell state transitions S Venkatachalapathy, D Sreekumar, P Ratna, GV Shivashankar Scientific Reports 12 (1), 16063, 2022 | 2 | 2022 |
| Germinal Center Dark Zone harbors ATR-dependent determinants of T-cell exclusion that are also identified in aggressive lymphoma V Cancila, G Morello, G Bertolazzi, ASY Chan, G Bastianello, D Paysan, ... Research Square, 2024 | 1 | 2024 |
| Detecting radio-and chemoresistant cells in 3D cancer co-cultures using chromatin biomarkers T Pekeč, S Venkatachalapathy, AR Shim, D Paysan, M Grzmil, R Schibli, ... Scientific Reports 13 (1), 20662, 2023 | | 2023 |
| Role of Cell Geometry and Chromatin Architecture in Modulating Cellular Response to Environmental Stimuli S Venkatachalapathy PQDT-Global, 2021 | | 2021 |
| Cell Geometry Modulates the Activation of Fibroblasts in 3D Tumor Microenvironments S Venkatachalapathy, DS Jokhun, GV Shivashankar Biophysical Journal 118 (3), 252a, 2020 | | 2020 |
| Network Analysis Identifies Regulatory Hotspots in Regions of Chromosome Interactions A Belyaeva, S Venkatachalapathy, M Nagarajan, GV Shivashankar, ... Proceedings of the 8th ACM International Conference on Bioinformatics …, 2017 | | 2017 |
GV ShivashankarETH Zurich and Paul Scherrer Institute, SwitzerlandVerified email at ethz.ch
