Evidence map›Paper›PMID 25915636›Full record

ReviewNature reviews. Microbiology2015

Sequencing and beyond: integrating molecular 'omics' for microbial community profiling.

Eric A Franzosa, Tiffany Hsu, Alexandra Sirota-Madi, Afrah Shafquat, Galeb Abu-Ali, Xochitl C Morgan, Curtis Huttenhower

Abstract readReview
In one paragraph

Review in Nature reviews. Microbiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 311 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
311citing papers in PubMed, 3 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

311 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  7. Microbiome-guided cancer immunotherapy: immune mechanisms, resistance pathways, and translational opportunities for precision oncology.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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251 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

7 authors.

Eric A Franzosa1] Biostatistics Department, Harvard School of Public Health, Boston, Massachusetts 02115, USA. [2] The Broad Institute, Cambridge, Massachusetts 02142, USA.
Tiffany Hsu1] Biostatistics Department, Harvard School of Public Health, Boston, Massachusetts 02115, USA. [2] The Broad Institute, Cambridge, Massachusetts 02142, USA.
Alexandra Sirota-Madi1] The Broad Institute, Cambridge, Massachusetts 02142, USA. [2] Center for Computational and Integrative Biology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts 02114, USA.
Afrah ShafquatBiostatistics Department, Harvard School of Public Health, Boston, Massachusetts 02115, USA.
Galeb Abu-AliBiostatistics Department, Harvard School of Public Health, Boston, Massachusetts 02115, USA.
Xochitl C Morgan1] Biostatistics Department, Harvard School of Public Health, Boston, Massachusetts 02115, USA. [2] The Broad Institute, Cambridge, Massachusetts 02142, USA.
Curtis Huttenhower1] Biostatistics Department, Harvard School of Public Health, Boston, Massachusetts 02115, USA. [2] The Broad Institute, Cambridge, Massachusetts 02142, USA.

Funding

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
Functional activity and inter-organismal interactions in the human microbiomeR01HG005969 · NHGRI · HARVARD SCHOOL OF PUBLIC HEALTH · PI HUTTENHOWER, CURTIS · 2010 to 2012
$1.3M
NHGRI NIH HHS R01 HG005969NHGRI NIH HHS R01HG005969NIDDK NIH HHS U54 DK102557NIDDK NIH HHS U54DK102557
6 · The paper itself

Abstract

High-throughput DNA sequencing has proven invaluable for investigating diverse environmental and host-associated microbial communities. In this Review, we discuss emerging strategies for microbial community analysis that complement and expand traditional metagenomic profiling. These include novel DNA sequencing strategies for identifying strain-level microbial variation and community temporal dynamics; measuring multiple 'omic' data types that better capture community functional activity, such as transcriptomics, proteomics and metabolomics; and combining multiple forms of omic data in an integrated framework. We highlight studies in which the 'multi-omics' approach has led to improved mechanistic models of microbial community structure and function.

Indexed as

Gene Expression ProfilingHigh-Throughput Nucleotide SequencingHumansMetabolomicsMetagenomicsMicrobiotaProteomicsSystems Biology

Identifiers

PMID25915636
PMCPMC4800835

What OpenQuestion holds

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Registered trials

None linked

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.