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Cellular responses to proteostasis perturbations reveal non-optimal feedback in chaperone networks
Asmita Ghosh, Abhilash Gangadharan, Sarada Das, Monika Verma, Latika Matai, Debasis Dash, Koyeli Mapa, Kausik Chakraborty
doi: https://doi.org/10.1101/137349
Asmita Ghosh
1CSIR-Institute of Genomics and Integrative Biology, Delhi, India 110025
2Academy of Scientific and Innovative Research, Coordination Office, CSIR-Human Resource Development Centre Campus, Ghaziabad, India 201002
Abhilash Gangadharan
1CSIR-Institute of Genomics and Integrative Biology, Delhi, India 110025
2Academy of Scientific and Innovative Research, Coordination Office, CSIR-Human Resource Development Centre Campus, Ghaziabad, India 201002
Sarada Das
3Department of Life Sciences, School of Natural Sciences, Shiv Nadar University, Greater Noida, India, 201314
Monika Verma
1CSIR-Institute of Genomics and Integrative Biology, Delhi, India 110025
2Academy of Scientific and Innovative Research, Coordination Office, CSIR-Human Resource Development Centre Campus, Ghaziabad, India 201002
Latika Matai
1CSIR-Institute of Genomics and Integrative Biology, Delhi, India 110025
2Academy of Scientific and Innovative Research, Coordination Office, CSIR-Human Resource Development Centre Campus, Ghaziabad, India 201002
Debasis Dash
1CSIR-Institute of Genomics and Integrative Biology, Delhi, India 110025
2Academy of Scientific and Innovative Research, Coordination Office, CSIR-Human Resource Development Centre Campus, Ghaziabad, India 201002
Koyeli Mapa
3Department of Life Sciences, School of Natural Sciences, Shiv Nadar University, Greater Noida, India, 201314
Kausik Chakraborty
1CSIR-Institute of Genomics and Integrative Biology, Delhi, India 110025
2Academy of Scientific and Innovative Research, Coordination Office, CSIR-Human Resource Development Centre Campus, Ghaziabad, India 201002

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Posted August 13, 2018.
Cellular responses to proteostasis perturbations reveal non-optimal feedback in chaperone networks
Asmita Ghosh, Abhilash Gangadharan, Sarada Das, Monika Verma, Latika Matai, Debasis Dash, Koyeli Mapa, Kausik Chakraborty
bioRxiv 137349; doi: https://doi.org/10.1101/137349
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