EconPapers    
Economics at your fingertips  
 

Proteomics to study genes and genomes

Akhilesh Pandey and Matthias Mann ()
Additional contact information
Akhilesh Pandey: Whitehead Institute for Biomedical Research, Nine Cambridge Center
Matthias Mann: Whitehead Institute for Biomedical Research, Nine Cambridge Center

Nature, 2000, vol. 405, issue 6788, 837-846

Abstract: Abstract Proteomics, the large-scale analysis of proteins, will contribute greatly to our understanding of gene function in the post-genomic era. Proteomics can be divided into three main areas: (1) protein micro-characterization for large-scale identification of proteins and their post-translational modifications; (2) ‘differential display’ proteomics for comparison of protein levels with potential application in a wide range of diseases; and (3) studies of protein–protein interactions using techniques such as mass spectrometry or the yeast two-hybrid system. Because it is often difficult to predict the function of a protein based on homology to other proteins or even their three-dimensional structure, determination of components of a protein complex or of a cellular structure is central in functional analysis. This aspect of proteomic studies is perhaps the area of greatest promise. After the revolution in molecular biology exemplified by the ease of cloning by DNA methods, proteomics will add to our understanding of the biochemistry of proteins, processes and pathways for years to come.

Date: 2000
References: Add references at CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://www.nature.com/articles/35015709 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:nature:v:405:y:2000:i:6788:d:10.1038_35015709

Ordering information: This journal article can be ordered from
https://www.nature.com/

DOI: 10.1038/35015709

Access Statistics for this article

Nature is currently edited by Magdalena Skipper

More articles in Nature from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-19
Handle: RePEc:nat:nature:v:405:y:2000:i:6788:d:10.1038_35015709