Literature DB >> 34115348

Protein Microarray-Based Proteomics for Disease Analysis.

Rodrigo Barderas1, Sanjeeva Srivastava2, Joshua LaBaer3.   

Abstract

As we approach the twentieth anniversary of completing the international Human Genome Project, the next (and arguably most significant) frontier in biology consists of functionally understanding the proteins, which are encoded by the genome and play a crucial role in all of biology and medicine. To accomplish this challenge, different proteomics strategies must be devised to examine the activities of gene products (proteins) at scale. Among them, protein microarrays have been used to accomplish a wide variety of investigations such as examining the binding of proteins and proteoforms to DNA, small molecules, and other proteins; characterizing humoral immune responses in health and disease; evaluating allergenic proteins; and profiling protein patterns as candidate disease-specific biomarkers. In Protein Microarray for Disease Analysis: Methods and Protocols, expert researchers involved in the field of protein microarrays provide concise descriptions of the methodologies that they currently use to fabricate microarrays and how they apply them to analyze protein interactions and responses of proteins to dissect human disease.

Entities:  

Keywords:  Disease analysis; Functional analysis; Microarray data analysis; Protein microarrays; Protein science; Proteomics

Year:  2021        PMID: 34115348     DOI: 10.1007/978-1-0716-1562-1_1

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


  7 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.  Unexpected features of the dark proteome.

Authors:  Nelson Perdigão; Julian Heinrich; Christian Stolte; Kenneth S Sabir; Michael J Buckley; Bruce Tabor; Beth Signal; Brian S Gloss; Christopher J Hammang; Burkhard Rost; Andrea Schafferhans; Seán I O'Donoghue
Journal:  Proc Natl Acad Sci U S A       Date:  2015-11-17       Impact factor: 11.205

Review 3.  Protein microarrays as tools for functional proteomics.

Authors:  Joshua LaBaer; Niroshan Ramachandran
Journal:  Curr Opin Chem Biol       Date:  2005-02       Impact factor: 8.822

Review 4.  Protein microarrays and novel detection platforms.

Authors:  Harini Chandra; Panga Jaipal Reddy; Sanjeeva Srivastava
Journal:  Expert Rev Proteomics       Date:  2011-02       Impact factor: 3.940

5.  Proteoform: a single term describing protein complexity.

Authors:  Lloyd M Smith; Neil L Kelleher
Journal:  Nat Methods       Date:  2013-03       Impact factor: 28.547

6.  Human protein-coding genes and gene feature statistics in 2019.

Authors:  Allison Piovesan; Francesca Antonaros; Lorenza Vitale; Pierluigi Strippoli; Maria Chiara Pelleri; Maria Caracausi
Journal:  BMC Res Notes       Date:  2019-06-04

7.  Multiple evidence strands suggest that there may be as few as 19,000 human protein-coding genes.

Authors:  Iakes Ezkurdia; David Juan; Jose Manuel Rodriguez; Adam Frankish; Mark Diekhans; Jennifer Harrow; Jesus Vazquez; Alfonso Valencia; Michael L Tress
Journal:  Hum Mol Genet       Date:  2014-06-16       Impact factor: 6.150

  7 in total
  1 in total

1.  Progress Identifying and Analyzing the Human Proteome: 2021 Metrics from the HUPO Human Proteome Project.

Authors:  Gilbert S Omenn; Lydie Lane; Christopher M Overall; Young-Ki Paik; Ileana M Cristea; Fernando J Corrales; Cecilia Lindskog; Susan Weintraub; Michael H A Roehrl; Siqi Liu; Nuno Bandeira; Sudhir Srivastava; Yu-Ju Chen; Ruedi Aebersold; Robert L Moritz; Eric W Deutsch
Journal:  J Proteome Res       Date:  2021-10-20       Impact factor: 5.370

  1 in total

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