Evidence map›Paper›PMID 38177508›Full record

ArticleNature methods2024

mEnrich-seq: methylation-guided enrichment sequencing of bacterial taxa of interest from microbiome.

Lei Cao, Yimeng Kong, Yu Fan, Mi Ni, Alan Tourancheau, Magdalena Ksiezarek, Edward A Mead, Tonny Koo, Melissa Gitman, Xue-Song Zhang and 1 more

Open access · greenAbstract read
In one paragraph

Article in Nature methods, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.6field-weighted citation impact, top 11% 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

8 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. How to Unmask an Unknown: The Restriction-Modification SystemInternational journal of molecular sciences · 2026
    Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Emerging methylation-based approaches in microbiome engineering.Biotechnology for biofuels and bioproducts · 2024
    Review
  8. Article
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

11 authors at 2 institutions in 1 country.

Lei CaoDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID http://orcid.org/0000-0001-6488-4106
Yimeng KongDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID http://orcid.org/0000-0001-5969-3567
Yu FanDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID http://orcid.org/0000-0002-5978-5004
Mi NiDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID http://orcid.org/0000-0002-8930-6887
Alan TourancheauDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID http://orcid.org/0000-0001-7989-346X
Magdalena KsiezarekDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID http://orcid.org/0000-0003-1088-5394
Edward A MeadDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID http://orcid.org/0000-0002-4588-8096
Tonny KooDepartment of Pathology, Molecular and Cell-based Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Melissa GitmanDepartment of Pathology, Molecular and Cell-based Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID http://orcid.org/0000-0002-6960-0763
Xue-Song ZhangCenter for Advanced Biotechnology and Medicine, Rutgers University, New Brunswick, NJ, USA.
Gang FangDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA. gang.fang@mssm.edu.ORCID http://orcid.org/0000-0002-2462-9124
Icahn School of Medicine at Mount Sinai · USRutgers, The State University of New Jersey · US

Funding

High Resolution Characterization of Bacterial Epigenomes and MicrobiomeR35GM139655 · NIGMS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Gang Fang · 2021 to 2026
$4.9M
NIGMS NIH HHS R35 GM139655
6 · The paper itself

Abstract

Metagenomics has enabled the comprehensive study of microbiomes. However, many applications would benefit from a method that sequences specific bacterial taxa of interest, but not most background taxa. We developed mEnrich-seq (in which 'm' stands for methylation and seq for sequencing) for enriching taxa of interest from metagenomic DNA before sequencing. The core idea is to exploit the self versus nonself differentiation by natural bacterial DNA methylation and rationally choose methylation-sensitive restriction enzymes, individually or in combination, to deplete host and background taxa while enriching targeted taxa. This idea is integrated with library preparation procedures and applied in several applications to enrich (up to 117-fold) pathogenic or beneficial bacteria from human urine and fecal samples, including species that are hard to culture or of low abundance. We assessed 4,601 bacterial strains with mapped methylomes so far and showed broad applicability of mEnrich-seq. mEnrich-seq provides microbiome researchers with a versatile and cost-effective approach for selective sequencing of diverse taxa of interest.

Indexed as

MicrobiotaBacteriaDNA, BacterialDNA MethylationHumansMetagenomeMetagenomicsSequence Analysis, DNADNA, Bacterial

Identifiers

PMID38177508
PMCPMC11474163
OpenAlexW4390588182

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.