Evidence map›Paper›PMID 36313541›Full record

ArticleSTAR protocols2022

Microbiota DNA isolation, 16S rRNA amplicon sequencing, and bioinformatic analysis for bacterial microbiome profiling of rodent fecal samples.

Chloe J Love, Carolina Gubert, Saritha Kodikara, Geraldine Kong, Kim-Anh Lê Cao, Anthony J Hannan

Abstract read
In one paragraph

Article in STAR protocols, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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.

Chloe J LoveThe Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville, VIC 3010, Australia.
Carolina GubertThe Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville, VIC 3010, Australia. Electronic address: carolina.gubert@florey.edu.au.
Saritha KodikaraDepartment of Anatomy and Physiology, University of Melbourne, Parkville, VIC 3010, Australia; Melbourne Integrative Genomics, School of Mathematics and Statistics, University of Melbourne, Parkville VIC, 3010, Australia.
Geraldine KongThe Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville, VIC 3010, Australia.
Kim-Anh Lê CaoDepartment of Anatomy and Physiology, University of Melbourne, Parkville, VIC 3010, Australia.
Anthony J HannanThe Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville, VIC 3010, Australia; Department of Anatomy and Physiology, University of Melbourne, Parkville, VIC 3010, Australia. Electronic address: anthony.hannan@florey.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fecal samples are frequently used to characterize bacterial populations of the gastrointestinal tract. A protocol is provided to profile gut bacterial populations using rodent fecal samples. We describe the optimal procedures for collecting rodent fecal samples, isolating genomic DNA, 16S rRNA gene V4 region sequencing, and bioinformatic analyses. This protocol includes detailed instructions and example outputs to ensure accurate, reproducible results and data visualization. Comprehensive troubleshooting and limitation sections address technical and statistical issues that may arise when profiling microbiota. For complete details on the use and execution of this protocol, please refer to Gubert et al. (2022).

Indexed as

Computational BiologyMicrobiotaAnimalsBacteriaDNARNA, Ribosomal, 16SRodentiaDNARNA, Ribosomal, 16SBioinformaticsCancerGeneticsGenomicsHealth SciencesHigh Throughput ScreeningMicrobiologyModel OrganismsMolecular BiologyRNAseqSingle CellSystems biology

Identifiers

PMID36313541
PMCPMC9597187

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.