Evidence map›Paper›PMID 34381207›Full record

ReviewNature protocols2021

Simultaneous ribosome profiling of hundreds of microbes from the human microbiome.

Brayon J Fremin, Cosmos Nicolaou, Ami S Bhatt

Open access · greenAbstract readReview
In one paragraph

Review in Nature protocols, 2021. 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
0.8field-weighted citation impact, top 29% 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. Article
  3. Review
  4. Small proteins in Gram-positive bacteria.FEMS microbiology reviews · 2023
    Article
  5. Identification of over ten thousand candidate structured RNAs in viruses and phages.Computational and structural biotechnology journal · 2023
    Article
  6. Article
  7. Small proteins: overcoming size restrictions.Nature reviews. Microbiology · 2022
    Article
  8. Review
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

3 authors at 2 institutions in 1 country.

Brayon J FreminDepartment of Genetics, Stanford University, Stanford, CA, USA.
Cosmos NicolaouDivisions of Hematology and Blood & Marrow Transplantation, Department of Medicine, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-4398-3786
Ami S BhattDepartment of Genetics, Stanford University, Stanford, CA, USA. asbhatt@stanford.edu.ORCID http://orcid.org/0000-0001-8099-2975
Stanford University · USStanford Blood Center · US

Funding

National Centralized Repository for Alzheimer's Disease and Related Dementias (NCRAD)U24AG021886 · NIA · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI TATIANA M. FOROUD · 2002 to 2026
$119.8M
Translational Oncology Research Program (Project-005)P30CA124435 · NCI · STANFORD UNIVERSITY · PI Vittorio Sebastiano · 2007 to 2026
$71.4M
Stanford Alzheimer's Disease Research CenterAdmin Supp: Developing iPSC models for AD and PDP30AG066515 · NIA · STANFORD UNIVERSITY · PI ELIZABETH MORMINO · 2020 to 2026
$29.0M
Working Memory in Parkinson Disease: A Cognitive & Systems Neuroscience ApproachP50AG047366 · NIA · STANFORD UNIVERSITY · PI GREICIUS, MICHAEL D · 2015 to 2019
$7.9M
Culture-free pathogen tracking in hospitalized patientsR01AI143757 · NIAID · STANFORD UNIVERSITY · PI BHATT, AMI SIDDHARTH · 2020 to 2023
$3.0M
Emerging novel mechanisms of antibiotic resistance in the prevalent foodborne pathogen, SalmonellaR01AI148623 · NIAID · STANFORD UNIVERSITY · PI BHATT, AMI SIDDHARTH · 2019 to 2023
$2.0M
NCI NIH HHS P30 CA124435NIAID NIH HHS R01 AI143757NIAID NIH HHS R01 AI148623NIA NIH HHS P30 AG066515NIA NIH HHS P50 AG047366NIA NIH HHS U24 AG021886U.S. Department of Health & Human Services | National Institutes of Health (NIH) P30 AG047366
6 · The paper itself

Abstract

Ribosome profiling enables sequencing of ribosome-bound fragments of RNA, revealing which transcripts are being translated as well as the position of ribosomes along mRNAs. Although ribosome profiling has been applied to cultured bacterial isolates, its application to uncultured, mixed communities has been challenging. We present MetaRibo-Seq, a protocol that enables the application of ribosome profiling directly to the human fecal microbiome. MetaRibo-Seq is a benchmarked method that includes several modifications to existing ribosome profiling protocols, specifically addressing challenges involving fecal sample storage, purity and input requirements. We also provide a computational workflow to quality control and trim reads, de novo assemble a reference metagenome with metagenomic reads, align MetaRibo-Seq reads to the reference, and assess MetaRibo-Seq library quality ( https://github.com/bhattlab/bhattlab_workflows/tree/master/metariboseq ). This MetaRibo-Seq protocol enables researchers in standard molecular biology laboratories to study translation in the fecal microbiome in ~5 d.

Indexed as

FecesMicrobiotaRibosomesBacteriaGastrointestinal MicrobiomeHigh-Throughput Nucleotide SequencingHumansMetagenomeMetagenomicsRibosome Profiling

Identifiers

PMID34381207
PMCPMC8750612
OpenAlexW3188596023

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.