Challenges for biological interpretation of environmental proteomics data in non-model organisms

W Wesley Dowd

doi:10.1093/icb/ics093

Back

Challenges for biological interpretation of environmental proteomics data in non-model organisms

Journal article

Open access

Peer reviewed

Challenges for biological interpretation of environmental proteomics data in non-model organisms

W Wesley Dowd

Integrative and comparative biology, Vol.52(5), pp.705-720

11/2012

DOI: https://doi.org/10.1093/icb/ics093

Handle:

https://hdl.handle.net/2376/109379

PMID: 22730495

Files and links (1)

url

https://doi.org/10.1093/icb/ics093View

Published (Version of record) Open

Abstract

Environmental Monitoring - methods

Stress, Physiological

Hot Temperature

Proteome - analysis

Body Temperature

Hypoxia - metabolism

Animals

Proteomics

Least-Squares Analysis

Environment

Bivalvia - metabolism

Principal Component Analysis

Proteome - metabolism

Research Design

Environmental physiology, toxicology, and ecology and evolution stand to benefit substantially from the relatively recent surge of "omics" technologies into these fields. These approaches, and proteomics in particular, promise to elucidate novel and integrative functional responses of organisms to diverse environmental challenges, over a variety of time scales and at different levels of organization. However, application of proteomics to environmental questions suffers from several challenges--some unique to high-throughput technologies and some relevant to many related fields--that may confound downstream biological interpretation of the data. I explore three of these challenges in environmental proteomics, emphasizing the dependence of biological conclusions on (1) the specific experimental context, (2) the choice of statistical analytical methods, and (3) the degree of proteome coverage and protein identification rates, both of which tend to be much less than 100% (i.e., analytical incompleteness). I use both a review of recent publications and data generated from my previous and ongoing proteomics studies of coastal marine animals to examine the causes and consequences of these challenges, in one case analyzing the same multivariate proteomics data set using 29 different combinations of statistical techniques common in the literature. Although some of the identified issues await further critical assessment and debate, when possible I offer suggestions for meeting these three challenges.

Metrics

13 Record Views

Details

Title: Challenges for biological interpretation of environmental proteomics data in non-model organisms
Creators: W Wesley Dowd - Department of Biology, Loyola Marymount University, 1 LMU Drive, Los Angeles, CA 90045, USA. wdowd@lmu.edu
Publication Details: Integrative and comparative biology, Vol.52(5), pp.705-720
Academic Unit: Biological Sciences, School of
Publisher: England
Identifiers: 99900547214901842
Language: English
Resource Type: Journal article