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Title: Mapping the membrane proteome of anaerobic gut fungi identifies a wealth of carbohydrate binding proteins and transporters

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Publication Date:
Research Org.:
Argonne National Lab. (ANL), Argonne, IL (United States). Advanced Photon Source (APS); Univ. of California, Santa Barbara, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER)
OSTI Identifier:
Alternate Identifier(s):
OSTI ID: 1373288; OSTI ID: 1485166
Grant/Contract Number:  
SC0010352; MCB-1553721; W911NF-09-0001; VKR023128
Resource Type:
Published Article
Journal Name:
Microbial Cell Factories
Additional Journal Information:
Journal Name: Microbial Cell Factories Journal Volume: 15 Journal Issue: 1; Journal ID: ISSN 1475-2859
Springer Science + Business Media
Country of Publication:
United Kingdom
59 BASIC BIOLOGICAL SCIENCES; microbial engineering; membrane proteins; anaerobic fungi; carbohydrate binding proteins; lignocellulose

Citation Formats

Seppälä, Susanna, Solomon, Kevin V., Gilmore, Sean P., Henske, John K., and O’Malley, Michelle A. Mapping the membrane proteome of anaerobic gut fungi identifies a wealth of carbohydrate binding proteins and transporters. United Kingdom: N. p., 2016. Web. doi:10.1186/s12934-016-0611-7.
Seppälä, Susanna, Solomon, Kevin V., Gilmore, Sean P., Henske, John K., & O’Malley, Michelle A. Mapping the membrane proteome of anaerobic gut fungi identifies a wealth of carbohydrate binding proteins and transporters. United Kingdom. doi:10.1186/s12934-016-0611-7.
Seppälä, Susanna, Solomon, Kevin V., Gilmore, Sean P., Henske, John K., and O’Malley, Michelle A. Tue . "Mapping the membrane proteome of anaerobic gut fungi identifies a wealth of carbohydrate binding proteins and transporters". United Kingdom. doi:10.1186/s12934-016-0611-7.
title = {Mapping the membrane proteome of anaerobic gut fungi identifies a wealth of carbohydrate binding proteins and transporters},
author = {Seppälä, Susanna and Solomon, Kevin V. and Gilmore, Sean P. and Henske, John K. and O’Malley, Michelle A.},
abstractNote = {},
doi = {10.1186/s12934-016-0611-7},
journal = {Microbial Cell Factories},
number = 1,
volume = 15,
place = {United Kingdom},
year = {2016},
month = {12}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
DOI: 10.1186/s12934-016-0611-7

Citation Metrics:
Cited by: 3 works
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Figures / Tables:

Fig. 1 Fig. 1: Integral membrane proteins are identified from gut fungal transcriptomes using bioinformatics filtering. a Displays a quantitative ‘funneling process’, where the total transcriptome is reduced to the membrane protein component by filtering the predicted soluble proteins, antisense transcripts, and extracellularly secreted proteins. b Demonstrates the pipeline used for proteinmore » annotation. All possible ORFs are extracted from the assembled transcripts, and protein annotations, gene ontology (GO) terms, and enzyme commission (EC) numbers are obtained by aligning the ORFs to the NCBI database (E ≤10−3) with BLASTx and comparing the ORFs to the EMBL database with the InterProScan tool. InterProScan utilizes SignalP and TMHMM to predict ER targeting signal peptides and transmembrane domains. Finally, the ORFs are aligned to the TCDB database to identify possible transporters and predict transporter substrates« less

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