JIOMICS
JIOMICS Internacional
JIOMICS Internacional
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<strong>JIOMICS</strong> | VOL 5 | ISSUE 2 | DECEMBER 2015 | 1-62<br />
JOURNAL OF INTEGRATED OMICS<br />
Journal of Integrated Omics<br />
A METHODOLOGICAL JOURNAL<br />
HTTP://WWW.<strong>JIOMICS</strong>.COM<br />
Special Issue: Proceeding Abstracts of the 4 th International Congress on Analytical Proteomics (ICAP 2015)<br />
Mechanisms underlying metabolic disorders deciphered using quantitative<br />
proteomics of non-sequenced species<br />
F. Bertile*<br />
CNRS – Université de Strasbourg, UMR7178, Institut Pluridisciplinaire Hubert Curien (IPHC), Département Sciences Analytiques,<br />
Laboratoire de Spectrométrie de Masse Bio-Organique, 25 rue Becquerel, 67087, Strasbourg, France. *Corresponding author:<br />
fbertile@unistra.fr<br />
Available Online: 31 December 2015<br />
Abstract<br />
Purpose: Since the last few years, there is growing evidence that important questions related to human health may simply not be answered<br />
by only studies in the mainstream of laboratory murine models. In this context, there is an increasing interest on wild animals as a<br />
source of new information. The aim is here to present examples where proteomics applied to exotic species can help understanding how certain<br />
animals do support environmental conditions that would be detrimental to human health.<br />
Experimental description: We examined the impact of different conditions (e.g. food scarcity, weightlessness and physical inactivity, high<br />
-fat diets) on the proteome of various tissues collected from laboratory rodents and also from wild penguins, space-flown mice, wild bears and<br />
selected lines of voles. Because no protein or even genomic sequence was available for most of these species, we performed both classical database<br />
searches and de novo sequencing followed by Blast searches to identify a maximum of proteins. Quantitative proteomics was then<br />
achieved using a combination of complementary approaches, including 2D-DIGE/MS and label-free MS-based proteomics (spectral counting<br />
and/or on the basis of XICs).<br />
Results: In non-sequenced species, the use of de novo sequencing allowed identifying 20% more proteins in comparison with the use of only<br />
classical Mascot searches. To obtain this result, de novo sequencing was performed only from high quality spectra as filtered using the Recover<br />
module of our software suite (https://msda.unistra.fr/). In any studied species, hundreds to thousands of proteins were identified (FDR