ArticleApplied and environmental microbiology2010
Metatranscriptome analysis of the human fecal microbiota reveals subject-specific expression profiles, with genes encoding proteins involved in carbohydrate metabolism being dominantly expressed.
Article in Applied and environmental microbiology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
39 citing papers in PubMed.
- metaTP: a meta-transcriptome data analysis pipeline with integrated automated workflows.BMC bioinformatics · 2025Article
- Bridging the Gap from Enterotypes to Personalized Dietary Recommendations: A Metabolomics Perspective on Microbiome Research.Metabolites · 2023Review
- Rational probe design for efficient rRNA depletion and improved metatranscriptomic analysis of human microbiomes.BMC microbiology · 2023Article
- Gastrointestinal biofilms in health and disease.Nature reviews. Gastroenterology & hepatology · 2021Review
- The Multiomics Analyses of Fecal Matrix and Its Significance to Coeliac Disease Gut Profiling.International journal of molecular sciences · 2021Review
- Impact of Fermentable Protein, by Feeding High Protein Diets, on Microbial Composition, Microbial Catabolic Activity, Gut Health and beyond in Pigs.Microorganisms · 2020Review
- Metatranscriptomic analysis to define the Secrebiome, and 16S rRNA profiling of the gut microbiome in obesity and metabolic syndrome of Mexican children.Microbial cell factories · 2020Article
- The Oral Microbiome and Cancer.Frontiers in immunology · 2020Review
- Functional dynamics of bacterial species in the mouse gut microbiome revealed by metagenomic and metatranscriptomic analyses.PloS one · 2020Article
- Comparing Gut Microbiome in Mothers' Own Breast Milk- and Formula-Fed Moderate-Late Preterm Infants.Frontiers in microbiology · 2020Article
- Using Bacterial Transcriptomics to Investigate Targets of Host-Bacterial Interactions in Caenorhabditis elegans.Scientific reports · 2019Article
- Metatranscriptome of the Oral Microbiome in Health and Disease.Journal of dental research · 2018Review
- Metatranscriptomics analysis of cyanobacterial aggregates during cyanobacterial bloom period in Lake Taihu, China.Environmental science and pollution research international · 2018Article
- Multiomic Strategies Reveal Diversity and Important Functional Aspects of Human Gut Microbiome.BioMed research international · 2018Article
- Experimental design and quantitative analysis of microbial community multiomics.Genome biology · 2017Review
- FunctionAnnotator, a versatile and efficient web tool for non-model organism annotation.Scientific reports · 2017Article
- Chronic Rhinosinusitis and the Evolving Understanding of Microbial Ecology in Chronic Inflammatory Mucosal Disease.Clinical microbiology reviews · 2017Review
- Feasibility of Metatranscriptome Analysis from Infant Gut Microbiota: Adaptation to Solid Foods Results in Increased Activity of Firmicutes at Six Months.International journal of microbiology · 2017Article
- COMAN: a web server for comprehensive metatranscriptomics analysis.BMC genomics · 2016Article
- An evaluation of the accuracy and speed of metagenome analysis tools.Scientific reports · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The human gastrointestinal (GI) tract provides home to a complex microbial community, collectively termed microbiota. Although major efforts have been made to describe the diversity and stability of the microbiota, functional studies have been largely restricted to intestinal isolates and include few community studies. The aim of this study was to explore the in situ gene expression of the fecal microbiota and to evaluate the RNA fingerprinting method cDNA-AFLP (cDNA amplified fragment length polymorphism) for this purpose. To this end, cDNA-AFLP analysis of enriched mRNA revealed that two healthy subjects showed highly divergent expression profiles with considerable fluctuations in time. Subsequent excision and sequence determination of bands from the mRNA-enriched profiles resulted in 122 identifiable sequences (transcripts and rRNAs). The classification of retrieved transcripts into functional clusters based on COG (cluster of orthologous genes) annotation showed that most assigned transcripts belonged to the metabolism cluster (26% of all sequences), underlining that even at the very end of the intestinal tract the microbiota is still very active. This study furthermore revealed that cDNA-AFLP is a useful tool to compare gene expression profiles in time in complex microbial communities.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.