Protein Microarray-Based Proteomics for Disease Analysis.

Saved in:
Bibliographic Details
Title: Protein Microarray-Based Proteomics for Disease Analysis.
Authors: Barderas R; Chronic Disease Programme, UFIEC, Instituto de Salud Carlos III, Madrid, Spain. r.barderasm@isciii.es., Srivastava S; Department of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Mumbai, Maharashtra, India. sanjeeva@iitb.ac.in., LaBaer J; Biodesign Center for Personalized Diagnostics, Arizona State University, Tempe, AZ, USA. Joshua.Labaer@asu.edu.
Source: Methods in molecular biology (Clifton, N.J.) [Methods Mol Biol] 2021; Vol. 2344, pp. 3-6.
Publication Type: Journal Article
Language: English
Journal Info: Publisher: Humana Press Country of Publication: United States NLM ID: 9214969 Publication Model: Print Cited Medium: Internet ISSN: 1940-6029 (Electronic) Linking ISSN: 10643745 NLM ISO Abbreviation: Methods Mol Biol Subsets: MEDLINE
Imprint Name(s): Publication: Totowa, NJ : Humana Press
Original Publication: Clifton, N.J. : Humana Press,
MeSH Terms: Protein Array Analysis* , Proteomics*, Communicable Diseases/*diagnosis , Proteins/*analysis, Humans
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.
References: Piovesan A, Antonaros F, Vitale L, Strippoli P, Pelleri MC, Caracausi M (2019) Human protein-coding genes and gene feature statistics in 2019. BMC Res Notes 12(1):315. https://doi.org/10.1186/s13104-019-4343-8. (PMID: 10.1186/s13104-019-4343-8311641746549324)
Ezkurdia I, Juan D, Rodriguez JM, Frankish A, Diekhans M, Harrow J, Vazquez J, Valencia A, Tress ML (2014) Multiple evidence strands suggest that there may be as few as 19,000 human protein-coding genes. Hum Mol Genet 23(22):5866–5878. https://doi.org/10.1093/hmg/ddu309. (PMID: 10.1093/hmg/ddu309249399104204768)
Smith LM, Kelleher NL, Consortium for Top Down Proteomics (2013) Proteoform: a single term describing protein complexity. Nat Methods 10(3):186–187. https://doi.org/10.1038/nmeth.2369. (PMID: 10.1038/nmeth.2369234436294114032)
Perdigao N, Rosa A (2019) Dark Proteome Database: studies on dark proteins. High Throughput 8(2). https://doi.org/10.3390/ht8020008.
Perdigao N, Heinrich J, Stolte C, Sabir KS, Buckley MJ, Tabor B, Signal B, Gloss BS, Hammang CJ, Rost B, Schafferhans A, O’Donoghue SI (2015) Unexpected features of the dark proteome. Proc Natl Acad Sci U S A 112(52):15898–15903. https://doi.org/10.1073/pnas.1508380112. (PMID: 10.1073/pnas.1508380112265788154702990)
LaBaer J, Ramachandran N (2005) Protein microarrays as tools for functional proteomics. Curr Opin Chem Biol 9(1):14–19. https://doi.org/10.1016/j.cbpa.2004.12.006. (PMID: 10.1016/j.cbpa.2004.12.00615701447)
Barderas R, Babel I, Casal JI (2010) Colorectal cancer proteomics, molecular characterization and biomarker discovery. Proteomics Clin Appl 4(2):159–178. https://doi.org/10.1002/prca.200900131. (PMID: 10.1002/prca.20090013121137041)
Chandra H, Reddy PJ, Srivastava S (2011) Protein microarrays and novel detection platforms. Expert Rev Proteomics 8(1):61–79. https://doi.org/10.1586/epr.10.99. (PMID: 10.1586/epr.10.9921329428)
Contributed Indexing: Keywords: Disease analysis; Functional analysis; Microarray data analysis; Protein microarrays; Protein science; Proteomics
Substance Nomenclature: 0 (Proteins)
Entry Date(s): Date Created: 20210611 Date Completed: 20210825 Latest Revision: 20210825
Update Code: 20250114
DOI: 10.1007/978-1-0716-1562-1_1
PMID: 34115348
Database: MEDLINE
Be the first to leave a comment!
You must be logged in first