| Probabilistic integrative modeling of genome-scale metabolic and regulatory networks in Escherichia coli and Mycobacterium tuberculosis S Chandrasekaran, ND Price Proceedings of the National Academy of Sciences 107 (41), 17845-17850, 2010 | 481 | 2010 |
| LIN28 regulates stem cell metabolism and conversion to primed pluripotency J Zhang, S Ratanasirintrawoot, S Chandrasekaran, Z Wu, SB Ficarro, ... Cell stem cell 19 (1), 66-80, 2016 | 362 | 2016 |
| Behavior-specific changes in transcriptional modules lead to distinct and predictable neurogenomic states S Chandrasekaran, SA Ament, JA Eddy, SL Rodriguez-Zas, BR Schatz, ... Proceedings of the National Academy of Sciences 108 (44), 18020-18025, 2011 | 192 | 2011 |
| Purine metabolism regulates DNA repair and therapy resistance in glioblastoma W Zhou, Y Yao, AJ Scott, K Wilder-Romans, JJ Dresser, CK Werner, ... Nature communications 11 (1), 3811, 2020 | 140 | 2020 |
| Molecular signatures from omics data: from chaos to consensus J Sung, Y Wang, S Chandrasekaran, DM Witten, ND Price Biotechnology journal 7 (8), 946-957, 2012 | 126 | 2012 |
| Chemogenomics and orthology‐based design of antibiotic combination therapies S Chandrasekaran, M Cokol‐Cakmak, N Sahin, K Yilancioglu, H Kazan, ... Molecular systems biology 12 (5), 872, 2016 | 109 | 2016 |
| Granzyme B disrupts central metabolism and protein synthesis in bacteria to promote an immune cell death program F Dotiwala, SS Santara, AA Binker-Cosen, B Li, S Chandrasekaran*, ... Cell 171 (5), 1125-1137. e11, 2017 | 72 | 2017 |
| A system‐level model for the microbial regulatory genome AN Brooks, DJ Reiss, A Allard, WJ Wu, DM Salvanha, CL Plaisier, ... Molecular systems biology 10 (7), 740, 2014 | 71 | 2014 |
| Comprehensive mapping of pluripotent stem cell metabolism using dynamic genome-scale network modeling S Chandrasekaran, J Zhang, Z Sun, L Zhang, CA Ross, YC Huang, ... Cell reports 21 (10), 2965-2977, 2017 | 61 | 2017 |
| Behavioral, transcriptomic and epigenetic responses to social challenge in honey bees HY Shpigler, MC Saul, EE Murdoch, AC Cash‐Ahmed, CH Seward, ... Genes, Brain and Behavior 16 (6), 579-591, 2017 | 61 | 2017 |
| Aggression is associated with aerobic glycolysis in the honey bee brain S Chandrasekaran, CC Rittschof, D Djukovic, H Gu, D Raftery, ND Price, ... Genes, Brain and Behavior 14 (2), 158-166, 2015 | 61 | 2015 |
| Temporal dynamics of neurogenomic plasticity in response to social interactions in male threespined sticklebacks SA Bukhari, MC Saul, CH Seward, H Zhang, M Bensky, N James, ... PLoS genetics 13 (7), e1006840, 2017 | 57 | 2017 |
| Metabolic remodelling during early mouse embryo development J Zhao, K Yao, H Yu, L Zhang, Y Xu, L Chen, Z Sun, Y Zhu, C Zhang, ... Nature Metabolism 3 (10), 1372-1384, 2021 | 53 | 2021 |
| Dissecting murine muscle stem cell aging through regeneration using integrative genomic analysis A Shcherbina, J Larouche, P Fraczek, BA Yang, LA Brown, JF Markworth, ... Cell Reports 32 (4), 2020 | 52 | 2020 |
| Transcriptional regulatory dynamics drive coordinated metabolic and neural response to social challenge in mice MC Saul, CH Seward, JM Troy, H Zhang, LG Sloofman, X Lu, PA Weisner, ... Genome research 27 (6), 959-972, 2017 | 48 | 2017 |
| Transcriptomic signatures predict regulators of drug synergy and clinical regimen efficacy against tuberculosis S Ma, S Jaipalli, J Larkins-Ford, J Lohmiller, BB Aldridge, DR Sherman, ... MBio 10 (6), 10.1128/mbio. 02627-19, 2019 | 41 | 2019 |
| Metabolism, HDACs, and HDAC inhibitors: a systems biology perspective J King, M Patel, S Chandrasekaran Metabolites 11 (11), 792, 2021 | 38 | 2021 |
| Genome-scale network model of metabolism and histone acetylation reveals metabolic dependencies of histone deacetylase inhibitors F Shen, L Boccuto, R Pauly, S Srikanth, S Chandrasekaran Genome biology 20 (1), 49, 2019 | 38 | 2019 |
| Chemogenomic model identifies synergistic drug combinations robust to the pathogen microenvironment M Cokol, C Li, S Chandrasekaran PLoS computational biology 14 (12), e1006677, 2018 | 36 | 2018 |
| Metabolic constraint-based refinement of transcriptional regulatory networks S Chandrasekaran, ND Price PLoS computational biology 9 (12), e1003370, 2013 | 36 | 2013 |
Nathan D. PriceProfessor, Buck Institute for Research on Aging在 buckinstitute.org 的电子邮件经过验证
