Literature DB >> 18379988

Chaperones as integrators of cellular networks: changes of cellular integrity in stress and diseases.

Robin Palotai1, Máté S Szalay, Péter Csermely.   

Abstract

The complex integrity of the cells and its sudden, but often predictable changes can be described and understood by the topology and dynamism of cellular networks. All these networks undergo both local and global rearrangements during stress and development of diseases. Here, we illustrate this by showing the stress-induced structural rearrangement of the yeast protein-protein interaction network (interactome). In an unstressed state, the yeast interactome is highly compact, and the centrally organized modules have a large overlap. During stress, several original modules became more separated, and a number of novel modules also appear. A few basic functions such as theproteasome preserve their central position; however, several functions with high energy demand, such the cell-cycle regulation loose their original centrality during stress. A number of key stress-dependent protein complexes, such as the disaggregation-specific chaperone, Hsp104 gain centrality in the stressed yeast interactome. Molecular chaperones, heat shock, or stress proteins became established as key elements in our molecular understanding of the cellular stress response. Chaperones form complex interaction networks (the chaperome) with each other and their partners. Here, we show that the human chaperome recovers the segregation of protein synthesis-coupled and stress-related chaperones observed in yeast recently. Examination of yeast and human interactomes shows that chaperones 1) are intermodular integrators of protein-protein interaction networks, which 2) often bridge hubs and 3) are favorite candidates for extensive phosphorylation. Moreover, chaperones 4) become more central in the organization of the isolated modules of the stressed yeast protein-protein interaction network, which highlights their importance in the decoupling and recoupling of network modules during and after stress. Chaperone-mediated evolvability of cellular networks may play a key role in cellular adaptation during stress and various polygenic and chronic diseases, such as cancer, diabetes or neurodegeneration.

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Year:  2008        PMID: 18379988     DOI: 10.1002/iub.8

Source DB:  PubMed          Journal:  IUBMB Life        ISSN: 1521-6543            Impact factor:   3.885


  28 in total

Review 1.  Chaperome heterogeneity and its implications for cancer study and treatment.

Authors:  Tai Wang; Anna Rodina; Mark P Dunphy; Adriana Corben; Shanu Modi; Monica L Guzman; Daniel T Gewirth; Gabriela Chiosis
Journal:  J Biol Chem       Date:  2018-11-08       Impact factor: 5.157

Review 2.  Adapting to stress - chaperome networks in cancer.

Authors:  Suhasini Joshi; Tai Wang; Thaís L S Araujo; Sahil Sharma; Jeffrey L Brodsky; Gabriela Chiosis
Journal:  Nat Rev Cancer       Date:  2018-09       Impact factor: 60.716

Review 3.  Sigma-1 receptor chaperones and diseases.

Authors:  Shang-Yi Tsai; Teruo Hayashi; Tomohisa Mori; Tsung-Ping Su
Journal:  Cent Nerv Syst Agents Med Chem       Date:  2009-09

4.  First-in-human study of the epichaperome inhibitor PU-H71: clinical results and metabolic profile.

Authors:  Giovanna Speranza; Larry Anderson; Alice P Chen; Khanh Do; Michelle Eugeni; Marcie Weil; Larry Rubinstein; Eva Majerova; Jerry Collins; Yvonne Horneffer; Lamin Juwara; Jennifer Zlott; Rachel Bishop; Barbara A Conley; Howard Streicher; Joseph Tomaszewski; James H Doroshow; Shivaani Kummar
Journal:  Invest New Drugs       Date:  2017-08-12       Impact factor: 3.850

5.  Plant Hsp100/ClpB-like proteins: poorly-analyzed cousins of yeast ClpB machine.

Authors:  Amanjot Singh; Anil Grover
Journal:  Plant Mol Biol       Date:  2010-09-02       Impact factor: 4.076

Review 6.  Chaperome Networks - Redundancy and Implications for Cancer Treatment.

Authors:  Pengrong Yan; Tai Wang; Monica L Guzman; Radu I Peter; Gabriela Chiosis
Journal:  Adv Exp Med Biol       Date:  2020       Impact factor: 2.622

7.  Protopia: a protein-protein interaction tool.

Authors:  Alejandro Real-Chicharro; Iván Ruiz-Mostazo; Ismael Navas-Delgado; Amine Kerzazi; Othmane Chniber; Francisca Sánchez-Jiménez; Miguel Angel Medina; José F Aldana-Montes
Journal:  BMC Bioinformatics       Date:  2009-10-15       Impact factor: 3.169

8.  Sea urchin embryos as an in vivo model for the assessment of manganese toxicity: developmental and stress response effects.

Authors:  Annalisa Pinsino; Valeria Matranga; Francesca Trinchella; Maria Carmela Roccheri
Journal:  Ecotoxicology       Date:  2009-11-01       Impact factor: 2.823

9.  POLAR MAPPER: a computational tool for integrated visualization of protein interaction networks and mRNA expression data.

Authors:  Joana P Gonçalves; Mário Grãos; André X C N Valente
Journal:  J R Soc Interface       Date:  2008-11-28       Impact factor: 4.118

10.  Network strategies to understand the aging process and help age-related drug design.

Authors:  Gábor I Simkó; Dávid Gyurkó; Dániel V Veres; Tibor Nánási; Peter Csermely
Journal:  Genome Med       Date:  2009-09-28       Impact factor: 11.117

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