Protein networks in disease

The Gabriela Chiosis Lab
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Protein networks in disease

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Our program takes advantage of properties of protein networks in cancer to understand, diagnose and treat diseases, such as cancer and neurodegenerative diseases.

It aims to investigate the identity and the architecture of protein networks in cells exposed to chronic molecular and environmental stresses with the goal of understanding disease mechanisms and identifying vulnerabilities.

It aims to take advantage of these vulnerabilities to discover and develop drug candidates, biomarkers, diagnostics and treatment strategies.

Our ultimate goal is the translation of our discoveries from bench to bedside.

protein networks

Kishinevsky S, Wang T, Rodina A, Chung SY, Xu C, Philip J, Taldone T, Joshi S, Alpaugh ML, Bolaender A, Gutbier S, Sandhu D, Fattahi F, Zimmer B, Shah SK, Chang E, Inda C, Koren J, Saurat NG, Leist M, Gross SS, Seshan VE, Klein C, Tomishima MJ, Erdjument-Bromage H, Neubert TA, Henrickson RC, Chiosis G, Studer L. HSP90-incorporating chaperome networks as biosensor for disease-related pathways in patient-specific midbrain dopamine neurons. Nature Communications. 2018;9(1):4345. 

Joshi S, Wang T, Araujo TLS, Sharma S, Brodsky JL, Chiosis G. Adapting to stress - chaperome networks in cancer. Nat Rev Cancer. 2018;18(9):562-75. PMCID: PMC6108944. Altmetric 352. PubMed

Rodina A, Wang T, Yan P, Gomes ED, Dunphy MP, Pillarsetty N, Koren J, Gerecitano JF, Taldone T, Zong H, Caldas-Lopes E, Alpaugh M, Corben A, Riolo M, Beattie B, Pressl C, Peter RI, Xu C, Trondl R, Patel HJ, Shimizu F, Bolaender A, Yang C, Panchal P, Farooq MF, Kishinevsky S, Modi S, Lin O, Chu F, Patil S, Erdjument-Bromage H, Zanzonico P, Hudis C, Studer L, Roboz GJ, Cesarman E, Cerchietti L, Levine R, Melnick A, Larson SM, Lewis JS, Guzman ML, Chiosis G. The epichaperome is an integrated chaperome network that facilitates tumour survival. Nature. 2016;538(7625):397-401. PMCID: PMC5283383. Altmetric 439. PubMed

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Project Members

Anna Rodina
Pengrong Yan
Tai Wang
Suhasini Joshi
Palak Panchal

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