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Molecular BioSystems Vol - 12 Issue - 8

Molecular BioSystems Vol - 12 Issue - 7

Molecular BioSystems Vol - 12 Issue - 6

Molecular BioSystems Vol -9

Molecular BioSystems Vol -8

Molecular BioSystems Vol -7

Molecular BioSystems Vol -6

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Integrated data mining of transcriptomic and proteomic datasets to predict the secretome of adipose tissue and muscle in ruminants

Content Provider	Royal Society of Chemistry (RSC)
Author	Cassar-Malek, I. Bonnet, M. Tournayre, J.
Copyright Year	2016
Abstract	Adipose tissue and muscle are endocrine organs releasing signalling and mediator proteins termed adipokines and myokines, enabling functioning of the organism and its adaption to a wide range of different challenges such as starvation, overfeeding, stress and diseases. They also contribute to the “adipose-muscular” cross-talk for an integrated control of body mass composition. This article integrates transcriptomic and proteomic data available in ruminant species (mainly in bovine, and when available in ovine and caprine) to computationally predict the large-scale secretome of adipose tissues and muscles. For this purpose predictive bioinformatics algorithms were employed to identify proteins putatively secreted by tissues thanks to a signal peptide. We predicted 1749 secreted proteins that were found from adipose tissues and muscles, more than a half of them being already declared as secreted proteins in public repositories. We also identified 188 and 357 proteins in the predictive secretome of adipose tissues and muscles respectively, only a minor part (3–11%) of them being reported in the overlap of public repositories used for comparison. Functional analysis of these proteins highlights their involvement in biological pathways known to sustain tissue growth and functioning. This strategy allowed us to identify some known and putative novel adipomyokines, adipokines and myokines. However their role and their expression signature depending on rearing practices remain largely to be explored.
Starting Page	2722
Ending Page	2734
Page Count	13
File Format	HTM / HTML PDF
ISSN	1742206X
Volume Number	12
Issue Number	9
Journal	Molecular BioSystems
DOI	10.1039/c6mb00224b
Language	English
Publisher	Royal Society of Chemistry
Access Restriction	Open
Subject Keyword	Adipose tissue Endocrine system Caprinae Signal peptide Functional analysis Ruminant Bioinformatics
Content Type	Text
Resource Type	Article
Subject	Molecular Biology Biotechnology

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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