Evidence map›Paper›PMID 34031485›Full record

ArticleScientific reports2021

Refinement of 16S rRNA gene analysis for low biomass biospecimens.

Remy Villette, Gaelle Autaa, Sophie Hind, Johanna B Holm, Alicia Moreno-Sabater, Martin Larsen

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–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

18 citing papers in PubMed.

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  7. Differences in cell-associated and cell-free microbial DNA in blood.bioRxiv : the preprint server for biology · 2025
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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

6 authors.

Remy Villette *Inserm UMR-S1135, Centre d'Immunologie et des Maladies Infectieuses (CIMI-Paris), 91 bd. de l'Hôpital, 75013, Paris, France.
Gaelle Autaa *Inserm UMR-S1135, Centre d'Immunologie et des Maladies Infectieuses (CIMI-Paris), 91 bd. de l'Hôpital, 75013, Paris, France.
Sophie HindSorbonne Universités, UPMC Univ Paris 06, CR7, Centre d'Immunologie et des Maladies Infectieuses (CIMI-Paris), Hôpital Pitié-Salpêtrière, 83 bd. de l'Hôpital, 75013, Paris, France.
Johanna B HolmDepartment of Microbiology and Immunology, Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, USA.
Alicia Moreno-SabaterInserm UMR-S1135, Centre d'Immunologie et des Maladies Infectieuses (CIMI-Paris), 91 bd. de l'Hôpital, 75013, Paris, France.
Martin LarsenInserm UMR-S1135, Centre d'Immunologie et des Maladies Infectieuses (CIMI-Paris), 91 bd. de l'Hôpital, 75013, Paris, France. Martin.Larsen@sorbonne-universite.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-throughput phylogenetic 16S rRNA gene analysis has permitted to thoroughly delve into microbial community complexity and to understand host-microbiota interactions in health and disease. The analysis comprises sample collection and storage, genomic DNA extraction, 16S rRNA gene amplification, high-throughput amplicon sequencing and bioinformatic analysis. Low biomass microbiota samples (e.g. biopsies, tissue swabs and lavages) are receiving increasing attention, but optimal standardization for analysis of low biomass samples has yet to be developed. Here we tested the lower bacterial concentration required to perform 16S rRNA gene analysis using three different DNA extraction protocols, three different mechanical lysing series and two different PCR protocols. A mock microbiota community standard and low biomass samples (10

Indexed as

BacteriaBiomassComputational BiologyDNA, BacterialDNA, RibosomalFecesHealthy VolunteersHigh-Throughput Nucleotide SequencingHumansPhylogenyRNA, Ribosomal, 16SSequence Analysis, DNADNA, BacterialDNA, RibosomalRNA, Ribosomal, 16S

Identifiers

PMID34031485
PMCPMC8144411

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.