Literature DB >> 34115353

Analysis of Protein-Protein Interactions by Protein Microarrays.

Ana Montero-Calle1, Rodrigo Barderas2.   

Abstract

The analysis of the proteome and the interactome would be useful for a better understanding of the pathophysiology of several disorders, allowing the identification of potential specific markers for early diagnosis and prognosis, as well as potential targets of intervention. Among different proteomic approaches, high-density protein microarrays have become an interesting tool for the screening of protein-protein interactions and the interactome definition of disease-associated dysregulated proteins. This information might contribute to the identification of altered signaling pathways and protein functions involved in the pathogenesis of a disease. Remarkably, protein microarrays have been already satisfactorily employed for the study of protein-protein interactions in cancer, allergy, or neurodegenerative diseases. Here, we describe the utilization of recombinant protein microarrays for the identification of protein-protein interactions to help in the definition of disease-specific dysregulated interactomes.

Entities:  

Keywords:  Human disease; Protein microarrays; Protein-protein interactions; Proteomics

Year:  2021        PMID: 34115353     DOI: 10.1007/978-1-0716-1562-1_6

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  28 in total

Review 1.  Colorectal cancer proteomics, molecular characterization and biomarker discovery.

Authors:  Rodrigo Barderas; Ingrid Babel; José Ignacio Casal
Journal:  Proteomics Clin Appl       Date:  2010-01-14       Impact factor: 3.494

2.  Proteomics. Tissue-based map of the human proteome.

Authors:  Mathias Uhlén; Linn Fagerberg; Björn M Hallström; Cecilia Lindskog; Per Oksvold; Adil Mardinoglu; Åsa Sivertsson; Caroline Kampf; Evelina Sjöstedt; Anna Asplund; IngMarie Olsson; Karolina Edlund; Emma Lundberg; Sanjay Navani; Cristina Al-Khalili Szigyarto; Jacob Odeberg; Dijana Djureinovic; Jenny Ottosson Takanen; Sophia Hober; Tove Alm; Per-Henrik Edqvist; Holger Berling; Hanna Tegel; Jan Mulder; Johan Rockberg; Peter Nilsson; Jochen M Schwenk; Marica Hamsten; Kalle von Feilitzen; Mattias Forsberg; Lukas Persson; Fredric Johansson; Martin Zwahlen; Gunnar von Heijne; Jens Nielsen; Fredrik Pontén
Journal:  Science       Date:  2015-01-23       Impact factor: 47.728

Review 3.  Protein function machinery: from basic structural units to modulation of activity.

Authors:  Igor N Berezovsky; Enrico Guarnera; Zejun Zheng; Birgit Eisenhaber; Frank Eisenhaber
Journal:  Curr Opin Struct Biol       Date:  2016-11-16       Impact factor: 6.809

Review 4.  Proteins and Proteoforms: New Separation Challenges.

Authors:  Fred E Regnier; JinHee Kim
Journal:  Anal Chem       Date:  2017-12-18       Impact factor: 6.986

5.  Identification of MST1/STK4 and SULF1 proteins as autoantibody targets for the diagnosis of colorectal cancer by using phage microarrays.

Authors:  Ingrid Babel; Rodrigo Barderas; Ramón Diaz-Uriarte; Víctor Moreno; Adolfo Suarez; María Jesús Fernandez-Aceñero; Ramón Salazar; Gabriel Capellá; J Ignacio Casal
Journal:  Mol Cell Proteomics       Date:  2011-01-12       Impact factor: 5.911

6.  In-depth characterization of the secretome of colorectal cancer metastatic cells identifies key proteins in cell adhesion, migration, and invasion.

Authors:  Rodrigo Barderas; Marta Mendes; Sofia Torres; Rubén A Bartolomé; María López-Lucendo; Roi Villar-Vázquez; Alberto Peláez-García; Eduardo Fuente; Félix Bonilla; J Ignacio Casal
Journal:  Mol Cell Proteomics       Date:  2013-02-26       Impact factor: 5.911

7.  Identification of tumor-associated autoantigens for the diagnosis of colorectal cancer in serum using high density protein microarrays.

Authors:  Ingrid Babel; Rodrigo Barderas; Ramón Díaz-Uriarte; Jorge Luis Martínez-Torrecuadrada; Marta Sánchez-Carbayo; J Ignacio Casal
Journal:  Mol Cell Proteomics       Date:  2009-07-28       Impact factor: 5.911

8.  Investigating protein isoforms via proteomics: a feasibility study.

Authors:  Paul Blakeley; Jennifer A Siepen; Craig Lawless; Simon J Hubbard
Journal:  Proteomics       Date:  2010-03       Impact factor: 3.984

9.  Revealing Missing Human Protein Isoforms Based on Ab Initio Prediction, RNA-seq and Proteomics.

Authors:  Zhiqiang Hu; Hamish S Scott; Guangrong Qin; Guangyong Zheng; Xixia Chu; Lu Xie; David L Adelson; Bergithe E Oftedal; Parvathy Venugopal; Milena Babic; Christopher N Hahn; Bing Zhang; Xiaojing Wang; Nan Li; Chaochun Wei
Journal:  Sci Rep       Date:  2015-07-09       Impact factor: 4.379

10.  A draft map of the human proteome.

Authors:  Min-Sik Kim; Sneha M Pinto; Derese Getnet; Raja Sekhar Nirujogi; Srikanth S Manda; Raghothama Chaerkady; Anil K Madugundu; Dhanashree S Kelkar; Ruth Isserlin; Shobhit Jain; Joji K Thomas; Babylakshmi Muthusamy; Pamela Leal-Rojas; Praveen Kumar; Nandini A Sahasrabuddhe; Lavanya Balakrishnan; Jayshree Advani; Bijesh George; Santosh Renuse; Lakshmi Dhevi N Selvan; Arun H Patil; Vishalakshi Nanjappa; Aneesha Radhakrishnan; Samarjeet Prasad; Tejaswini Subbannayya; Rajesh Raju; Manish Kumar; Sreelakshmi K Sreenivasamurthy; Arivusudar Marimuthu; Gajanan J Sathe; Sandip Chavan; Keshava K Datta; Yashwanth Subbannayya; Apeksha Sahu; Soujanya D Yelamanchi; Savita Jayaram; Pavithra Rajagopalan; Jyoti Sharma; Krishna R Murthy; Nazia Syed; Renu Goel; Aafaque A Khan; Sartaj Ahmad; Gourav Dey; Keshav Mudgal; Aditi Chatterjee; Tai-Chung Huang; Jun Zhong; Xinyan Wu; Patrick G Shaw; Donald Freed; Muhammad S Zahari; Kanchan K Mukherjee; Subramanian Shankar; Anita Mahadevan; Henry Lam; Christopher J Mitchell; Susarla Krishna Shankar; Parthasarathy Satishchandra; John T Schroeder; Ravi Sirdeshmukh; Anirban Maitra; Steven D Leach; Charles G Drake; Marc K Halushka; T S Keshava Prasad; Ralph H Hruban; Candace L Kerr; Gary D Bader; Christine A Iacobuzio-Donahue; Harsha Gowda; Akhilesh Pandey
Journal:  Nature       Date:  2014-05-29       Impact factor: 49.962

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