Evidence map›Paper›PMID 33217332›Full record

ArticleCell host & microbe2021

Identification of Natural CRISPR Systems and Targets in the Human Microbiome.

Philipp C Münch, Eric A Franzosa, Bärbel Stecher, Alice C McHardy, Curtis Huttenhower

Open access · bronzeAbstract read
In one paragraph

Article in Cell host & microbe, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.8field-weighted citation impact, top 15% of its field
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

20 citing papers in PubMed, 33 citations in OpenAlex.

  1. Review
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  8. Characterisation of novelJournal of oral microbiology · 2025
    Article
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  19. Using metagenomic data to boost protein structure prediction and discovery.Computational and structural biotechnology journal · 2022
    Review
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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

5 authors at 4 institutions in 2 countries.

Philipp C MünchDepartment of Biostatistics, Harvard School of Public Health, Boston, MA 02115, USA; Department for Computational Biology of Infection Research, Helmholtz Center for Infection Research, 38124 Braunschweig, Germany; Max von Pettenkofer-Institute for Hygiene and Clinical Microbiology, Ludwig-Maximilian University of Munich, 80336 Munich, Germany.
Eric A FranzosaDepartment of Biostatistics, Harvard School of Public Health, Boston, MA 02115, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
Bärbel StecherMax von Pettenkofer-Institute for Hygiene and Clinical Microbiology, Ludwig-Maximilian University of Munich, 80336 Munich, Germany; German Center for Infection Research (DZIF), Partner Site Munich, Munich, Germany.
Alice C McHardyDepartment for Computational Biology of Infection Research, Helmholtz Center for Infection Research, 38124 Braunschweig, Germany; Cluster of Excellence RESIST (EXC 2155), Hannover Medical School, 30625 Hannover, Germany. Electronic address: alice.mchardy@helmholtz-hzi.de.
Curtis HuttenhowerDepartment of Biostatistics, Harvard School of Public Health, Boston, MA 02115, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Immunology and Infectious Diseases, Harvard School of Public Health, Boston, MA 02115, USA. Electronic address: chuttenh@hsph.harvard.edu.
Helmholtz Centre for Infection Research · DEBroad Institute · USHarvard University · USLudwig-Maximilians-Universität München · DE

Funding

Pilot & Feasibility ProgramP30DK043351 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI RAYMOND T CHUNG · 1991 to 2026
$35.3M
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
A comprehensive platform for novel therapy development from the microbiomeR24DK110499 · NIDDK · BROAD INSTITUTE, INC. · PI HUTTENHOWER, CURTIS · 2017 to 2021
$7.7M
NIDDK NIH HHS P30 DK043351NIDDK NIH HHS R24 DK110499NIDDK NIH HHS U54 DK102557
6 · The paper itself

Abstract

Many bacteria resist invasive DNA by incorporating sequences into CRISPR loci, which enable sequence-specific degradation. CRISPR systems have been well studied from isolate genomes, but culture-independent metagenomics provide a new window into their diversity. We profiled CRISPR loci and cas genes in the body-wide human microbiome using 2,355 metagenomes, yielding functional and taxonomic profiles for 2.9 million spacers by aligning the spacer content to each sample's metagenome and corresponding gene families. Spacer and repeat profiles agree qualitatively with those from isolate genomes but expand their diversity by approximately 13-fold, with the highest spacer load present in the oral microbiome. The taxonomy of spacer sequences parallels that of their source community, with functional targets enriched for viral elements. When coupled with cas gene systems, CRISPR-Cas subtypes are highly site and taxon specific. Our analysis provides a comprehensive collection of natural CRISPR-cas loci and targets in the human microbiome.

Indexed as

Clustered Regularly Interspaced Short Palindromic RepeatsCRISPR-Cas SystemsBacteriaBacteriophagesCRISPR-Associated ProteinsGastrointestinal MicrobiomeGene OntologyGenes, BacterialGenome, BacterialHumansMetagenomeMethylationMicrobiotaMouthViral ProteinsVirus Physiological PhenomenaCRISPR-Associated ProteinsViral ProteinsbacteriophagesCRISPR-CasCRISPR systemmetagenomicsvial defense

Identifiers

PMID33217332
PMCPMC7813156
OpenAlexW3101525813

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.