Evidence map›Paper›PMID 24843156›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2014

Relating the metatranscriptome and metagenome of the human gut.

Eric A Franzosa, Xochitl C Morgan, Nicola Segata, Levi Waldron, Joshua Reyes, Ashlee M Earl, Georgia Giannoukos, Matthew R Boylan, Dawn Ciulla, Dirk Gevers and 4 more

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 416 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
416citing papers in PubMed, 4 pooled it
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

416 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. [Advances in the Application of Forensic Microbiome Analysis in Tissue Source Inference].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2025
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  5. Article
  6. Gut microbial alterations and functional shifts in patients with hypertriglyceridemia: insights from a northwestern Chinese metagenomic study.International microbiology : the official journal of the Spanish Society for Microbiology · 2026
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356 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Eric A FranzosaBiostatistics Department andThe Broad Institute, Cambridge, MA 02142;
Xochitl C MorganBiostatistics Department andThe Broad Institute, Cambridge, MA 02142;
Nicola SegataBiostatistics Department and.
Levi WaldronBiostatistics Department and.
Joshua ReyesBiostatistics Department and.
Ashlee M EarlThe Broad Institute, Cambridge, MA 02142;
Georgia GiannoukosThe Broad Institute, Cambridge, MA 02142;
Matthew R BoylanDivision of Gastroenterology, Massachusetts General Hospital, Boston, MA 02114;
Dawn CiullaThe Broad Institute, Cambridge, MA 02142;
Dirk GeversThe Broad Institute, Cambridge, MA 02142;
Jacques IzardDepartment of Microbiology, The Forsyth Institute, Cambridge, MA 02142;Department of Oral Medicine, Infection, and Immunity, Harvard School of Dental Medicine, Boston, MA 02115;
Wendy S GarrettThe Broad Institute, Cambridge, MA 02142;Department of Immunology and Infectious Diseases, Harvard School of Public Health, Boston, MA 02115;Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215; and.
Andrew T ChanDivision of Gastroenterology, Massachusetts General Hospital, Boston, MA 02114;Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA 02115.
Curtis HuttenhowerBiostatistics Department andThe Broad Institute, Cambridge, MA 02142; chuttenh@hsph.harvard.edu.

Funding

Viral Genomics: evolution, spread, and host interactionsU19AI110818 · NIAID · BROAD INSTITUTE, INC. · PI CUOMO, CHRISTINA A · 2014 to 2024
$66.5M
Pilot & Feasibility ProgramP30DK043351 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI RAYMOND T CHUNG · 1991 to 2026
$35.3M
Tissue and Pathology ResourcesP50CA127003 · NCI · DANA-FARBER CANCER INST · PI EL-BARDEESY, NABEEL, SELLERS, WILLIAM R · 2007 to 2023
$33.2M
STRUCTURE-FUNCTION RELATIONSHIPS IN THE ALIMENTARY TRACTP30DK034854 · NIDDK · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI WAYNE I LENCER · 1986 to 2026
$32.4M
Characterizing the gut microbial ecosystem for diagnosis and therapy in IBDU54DK102557 · NIDDK · BROAD INSTITUTE, INC. · PI HUTTENHOWER, CURTIS, XAVIER, RAMNIK J · 2014 to 2015
$7.7M
Inflammation and Colorectal NeoplasiaR01CA137178 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI CHAN, ANDREW T · 2009 to 2019
$6.5M
Microbiomes in Human Pancreatic CancerR01CA166150 · NCI · TUFTS UNIVERSITY BOSTON · PI MICHAUD, DOMINIQUE S. · 2013 to 2015
$2.0M
Functional activity and inter-organismal interactions in the human microbiomeR01HG005969 · NHGRI · HARVARD SCHOOL OF PUBLIC HEALTH · PI HUTTENHOWER, CURTIS · 2010 to 2012
$1.3M
NCI NIH HHS CA166150NCI NIH HHS P50 CA127003NCI NIH HHS R01 CA137178NCI NIH HHS R01 CA166150NHGRI NIH HHS R01 HG005969NIAID NIH HHS HHSN272200900018CNIAID NIH HHS U19 AI110818NIDDK NIH HHS P30 DK034854NIDDK NIH HHS P30 DK043351NIDDK NIH HHS U54 DK102557
6 · The paper itself

Abstract

Although the composition of the human microbiome is now well-studied, the microbiota's >8 million genes and their regulation remain largely uncharacterized. This knowledge gap is in part because of the difficulty of acquiring large numbers of samples amenable to functional studies of the microbiota. We conducted what is, to our knowledge, one of the first human microbiome studies in a well-phenotyped prospective cohort incorporating taxonomic, metagenomic, and metatranscriptomic profiling at multiple body sites using self-collected samples. Stool and saliva were provided by eight healthy subjects, with the former preserved by three different methods (freezing, ethanol, and RNAlater) to validate self-collection. Within-subject microbial species, gene, and transcript abundances were highly concordant across sampling methods, with only a small fraction of transcripts (<5%) displaying between-method variation. Next, we investigated relationships between the oral and gut microbial communities, identifying a subset of abundant oral microbes that routinely survive transit to the gut, but with minimal transcriptional activity there. Finally, systematic comparison of the gut metagenome and metatranscriptome revealed that a substantial fraction (41%) of microbial transcripts were not differentially regulated relative to their genomic abundances. Of the remainder, consistently underexpressed pathways included sporulation and amino acid biosynthesis, whereas up-regulated pathways included ribosome biogenesis and methanogenesis. Across subjects, metatranscriptional profiles were significantly more individualized than DNA-level functional profiles, but less variable than microbial composition, indicative of subject-specific whole-community regulation. The results thus detail relationships between community genomic potential and gene expression in the gut, and establish the feasibility of metatranscriptomic investigations in subject-collected and shipped samples.

Indexed as

DNA, BacterialFecesGastrointestinal TractGene Expression Regulation, BacterialGenomicsHumansMetagenomeMicrobiotaMouthRNA, BacterialSalivaSpecimen HandlingTranscriptomeDNA, BacterialRNA, Bacterial

Identifiers

PMID24843156
PMCPMC4050606

What OpenQuestion holds

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Registered trials

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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.