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Integration of Transcriptomic and Proteomic Approaches Provides a Core Set of Genes for Understanding of Scallop Attachment

Overview of attention for article published in Marine Biotechnology, May 2015
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Title
Integration of Transcriptomic and Proteomic Approaches Provides a Core Set of Genes for Understanding of Scallop Attachment
Published in
Marine Biotechnology, May 2015
DOI 10.1007/s10126-015-9635-y
Pubmed ID
Authors

Yan Miao, Lingling Zhang, Yan Sun, Wenqian Jiao, Yangping Li, Jin Sun, Yangfan Wang, Shi Wang, Zhenmin Bao, Weizhi Liu

Abstract

Attachment is an essential physiological process in life histories of many marine organisms. Using a combination of transcriptomic and proteomic approach, scallop byssal proteins (Sbps) and their associated regulatory network genes were investigated for the first time. We built the first scallop foot transcriptome library, and 75 foot-specific genes were identified. Through integration of transcriptomic-proteomic approach, seven unique Sbps were identified. Of them, three showed significant amino acid sequence homology to known proteins. In contrast, the rest did not show significant protein matches, indicating they are possibly novel proteins. Our transcriptomic and proteomic analyses also suggest that post-translational modification may be one of the significant features for Sbps as well. Taken together, our study provides the first multidimensional collection of a core set of genes that may be potentially involved in scallop byssal attachment.

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The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 2%
Unknown 44 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 24%
Student > Ph. D. Student 10 22%
Student > Doctoral Student 6 13%
Student > Bachelor 3 7%
Student > Postgraduate 2 4%
Other 5 11%
Unknown 8 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 36%
Biochemistry, Genetics and Molecular Biology 4 9%
Environmental Science 3 7%
Chemistry 3 7%
Business, Management and Accounting 1 2%
Other 9 20%
Unknown 9 20%