Metatranscriptome Analysis of the Human Fecal Microbiota Reveals Subject-Specific Expression Profiles, with Genes Encoding Proteins Involved in Carbohydrate Metabolism Being Dominantly Expressed

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Published inApplied and Environmental Microbiology Vol. 76; no. 16; pp. 5533 - 5540
Main Authors Booijink, Carien C. G. M., Boekhorst, Jos, Zoetendal, Erwin G., Smidt, Hauke, Kleerebezem, Michiel, de Vos, Willem M.
Format Journal Article
LanguageEnglish
Published Washington, DC American Society for Microbiology 01.08.2010
American Society for Microbiology (ASM)
Subjects
16s ribosomal-rna
Amplified fragment length polymorphism
bacteria
Biological and medical sciences
carbohydrate metabolism
Carbohydrate Metabolism - genetics
Carbohydrates
cdna-aflp
Cluster Analysis
communities
complementary DNA
distal gut microbiome
diversity
DNA Fingerprinting - methods
dna-microarrays
Feces
Feces - microbiology
Fundamental and applied biological sciences. Psychology
gastrointestinal-tract
Gene expression
Gene Expression Profiling - methods
Human Experimentation
Humans
messenger RNA
Metabolism
Metagenome - genetics
microarray analysis
Microbial activity
microbial communities
Microbial Ecology
Microbiology
Molecular Sequence Data
multigene family
Proteins
Ribonucleic acid
ribosomal RNA
RNA
samples
sequence analysis
Sequence Analysis, DNA
Time Factors
Human
Gene
Microflora
Carbohydrate
Feces
Metabolism
Protein
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Summary:Classifications Services AEM Citing Articles Google Scholar PubMed Related Content Social Bookmarking CiteULike Delicious Digg Facebook Google+ Mendeley Reddit StumbleUpon Twitter current issue Spotlights in the Current Issue AEM About AEM Subscribers Authors Reviewers Advertisers Inquiries from the Press Permissions & Commercial Reprints ASM Journals Public Access Policy AEM RSS Feeds 1752 N Street N.W. • Washington DC 20036 202.737.3600 • 202.942.9355 fax • journals@asmusa.org Print ISSN: 0099-2240 Online ISSN: 1098-5336 Copyright © 2014 by the American Society for Microbiology.   For an alternate route to AEM .asm.org, visit: AEM       
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Present address: Bioinformatics, Department of Biology, Utrecht University, P.O. Box 80.056, 3508 TB Utrecht, Netherlands.
Present address: University of Applied Sciences, Institute for Life Sciences and Chemistry, F.C. Dondersstraat 65, 3572 JE Utrecht, Netherlands.
ISSN:0099-2240
1098-5336
1098-5336
1098-6596
DOI:10.1128/AEM.00502-10