Evidence map›Paper›PMID 30559359›Full record

ArticleNature communications2018

Microbiome characterization by high-throughput transfer RNA sequencing and modification analysis.

Michael H Schwartz, Haipeng Wang, Jessica N Pan, Wesley C Clark, Steven Cui, Matthew J Eckwahl, David W Pan, Marc Parisien, Sarah M Owens, Brian L Cheng and 5 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

40 citing papers in PubMed, 62 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. The Secret Life of NJournal of molecular biology · 2025
    Review
  7. Review
  8. Review
  9. The modification landscape ofRNA (New York, N.Y.) · 2024
    Article
  10. The modification landscape ofbioRxiv : the preprint server for biology · 2024
    Article
  11. Article
  12. Article
  13. A tRNA modification inbioRxiv : the preprint server for biology · 2023
    Article
  14. microLife · 2023
    Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. 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

15 authors at 6 institutions in 2 countries.

Michael H SchwartzDepartment of Biochemistry and Molecular Biology, University of Chicago, Chicago, IL, 60637, USA.
Haipeng WangDepartment of Biochemistry and Molecular Biology, University of Chicago, Chicago, IL, 60637, USA.ORCID http://orcid.org/0000-0002-2366-7946
Jessica N PanDepartment of Biochemistry and Molecular Biology, University of Chicago, Chicago, IL, 60637, USA.
Wesley C ClarkDepartment of Biochemistry and Molecular Biology, University of Chicago, Chicago, IL, 60637, USA.
Steven CuiDepartment of Medicine, University of Chicago, Chicago, IL, 60637, USA.
Matthew J EckwahlDepartment of Biochemistry and Molecular Biology, University of Chicago, Chicago, IL, 60637, USA.
David W PanDepartment of Biochemistry and Molecular Biology, University of Chicago, Chicago, IL, 60637, USA.
Marc ParisienDepartment of Biochemistry and Molecular Biology, University of Chicago, Chicago, IL, 60637, USA.ORCID http://orcid.org/0000-0003-2924-5960
Sarah M OwensDepartment of Medicine, University of Chicago, Chicago, IL, 60637, USA.
Brian L ChengCommittee on Microbiology, University of Chicago, Chicago, IL, 60637, USA.
Kristina MartinezDepartment of Medicine, University of Chicago, Chicago, IL, 60637, USA.
Jinbo XuToyota Technological Institute at Chicago, Chicago, IL, 60637, USA.
Eugene B ChangDepartment of Medicine, University of Chicago, Chicago, IL, 60637, USA.
Tao PanDepartment of Biochemistry and Molecular Biology, University of Chicago, Chicago, IL, 60637, USA. taopan@uchicago.edu.
A Murat ErenCommittee on Microbiology, University of Chicago, Chicago, IL, 60637, USA. meren@uchicago.edu.ORCID http://orcid.org/0000-0001-9013-4827
University of Chicago · USArgonne National Laboratory · USMarine Biological Laboratory · USShandong University of Technology · CNToyota Technological Institute at Chicago · USUniversity of Illinois Chicago · US

Funding

ULTRASTRUCTURE AND CYTOMORPHOLOGY COREP30DK042086 · NIDDK · UNIVERSITY OF CHICAGO · PI CHANG, EUGENE B · 1990 to 2025
$29.8M
Transcriptome-wide base-resolution sequencing of pseudouridine in human normal and AD brain tissues-CEGS Admin supplement 2020-2021RM1HG008935 · NHGRI · UNIVERSITY OF CHICAGO · PI HE, CHUAN · 2016 to 2025
$24.4M
Pilot and Feasibility ProgramP30DK020595 · NIDDK · UNIVERSITY OF CHICAGO · PI Raghavendra G Mirmira · 2013 to 2026
$20.9M
MULTIDISCIPLINARY CARDIAC SCIENCEST32HL007381 · NHLBI · UNIVERSITY OF CHICAGO · PI JEANNE M DECARA, Yoav Gilad · 1985 to 2026
$12.5M
New Computational Methods for Data-driven Protein Structure PredictionR01GM089753 · NIGMS · TOYOTA TECHNOLOGICAL INSTITUTE / CHICAGO · PI XU, JINBO · 2010 to 2023
$3.8M
NHGRI NIH HHS RM1 HG008935NHLBI NIH HHS T32 HL007381NIDDK NIH HHS P30 DK020595NIDDK NIH HHS P30 DK042086NIH HHS P30DK020595NIH HHS P30DK042086NIH HHS RM1HG008935
6 · The paper itself

Abstract

Advances in high-throughput sequencing have facilitated remarkable insights into the diversity and functioning of naturally occurring microbes; however, current sequencing strategies are insufficient to reveal physiological states of microbial communities associated with protein translation dynamics. Transfer RNAs (tRNAs) are core components of protein synthesis machinery, present in all living cells, and are phylogenetically tractable, which make them ideal targets to gain physiological insights into environmental microbes. Here we report a direct sequencing approach, tRNA-seq, and a software suite, tRNA-seq-tools, to recover sequences, abundance profiles, and post-transcriptional modifications of microbial tRNA transcripts. Our analysis of cecal samples using tRNA-seq distinguishes high-fat- and low-fat-fed mice in a comparable fashion to 16S ribosomal RNA gene amplicons, and reveals taxon- and diet-dependent variations in tRNA modifications. Our results provide taxon-specific in situ insights into the dynamics of tRNA gene expression and post-transcriptional modifications within complex environmental microbiomes.

Indexed as

AnimalsBacillus subtilisBacteroidetesCecumEscherichia coliHigh-Throughput Nucleotide SequencingMaleMiceMice, Inbred C57BLMicrobiotaRNA, TransferSequence Analysis, RNAStaphylococcus aureusRNA, Transfer

Identifiers

PMID30559359
PMCPMC6297222
OpenAlexW2905443741

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.