Evidence map›Paper›PMID 39283083›Full record

ArticlemSystems2024

Clearing the plate: a strategic approach to mitigate well-to-well contamination in large-scale microbiome studies.

Caitriona Brennan, Pedro Belda-Ferre, Simone Zuffa, Vincent Charron-Lamoureux, Ipsita Mohanty, Gail Ackermann, Celeste Allaband, Madison Ambre, Tara Boyer, MacKenzie Bryant and 8 more

Abstract read
In one paragraph

Article in mSystems, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Environmental and Maternal Imprints on Infant Gut Metabolic Programming.bioRxiv : the preprint server for biology · 2025
    Article
  12. Article
  13. Article
  14. MS/MS Mass Spectrometry Filtering Tree for Bile Acid Isomer Annotation.bioRxiv : the preprint server for biology · 2025
    Article
  15. The microbiome diversifiesbioRxiv : the preprint server for biology · 2024
    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

18 authors.

Caitriona BrennanDepartment of Pediatrics, University of California San Diego, La Jolla, California, USA.ORCID 0000-0003-3943-6701
Pedro Belda-FerreDepartment of Pediatrics, University of California San Diego, La Jolla, California, USA.
Simone ZuffaCollaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, San Diego, California, USA.
Vincent Charron-LamoureuxCollaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, San Diego, California, USA.
Ipsita MohantyCollaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, San Diego, California, USA.
Gail AckermannDepartment of Pediatrics, University of California San Diego, La Jolla, California, USA.
Celeste AllabandDepartment of Pediatrics, University of California San Diego, La Jolla, California, USA.
Madison AmbreDepartment of Pediatrics, University of California San Diego, La Jolla, California, USA.
Tara BoyerDepartment of Pediatrics, University of California San Diego, La Jolla, California, USA.
MacKenzie BryantDepartment of Pediatrics, University of California San Diego, La Jolla, California, USA.
Kalen CantrellDepartment of Computer Science and Engineering, University of California, San Diego, La Jolla, California, USA.
Antonio GonzalezDepartment of Pediatrics, University of California San Diego, La Jolla, California, USA.
Daniel McDonaldDepartment of Pediatrics, University of California San Diego, La Jolla, California, USA.
Rodolfo A SalidoDepartment of Bioengineering, University of California, San Diego, La Jolla, California, USA.
Se Jin SongCenter for Microbiome Innovation, University of California, San Diego, La Jolla, California, USA.
Gillian WrightDepartment of Pediatrics, University of California San Diego, La Jolla, California, USA.
Pieter C DorresteinDepartment of Pediatrics, University of California San Diego, La Jolla, California, USA.
Rob KnightDepartment of Pediatrics, University of California San Diego, La Jolla, California, USA.ORCID 0000-0002-0975-9019

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
Project 4 - Mechanistic studies on the role of the gut microbiome in models for Alzheimer's diseaseU19AG063744 · NIA · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI ROB KNIGHT, Rima F Kaddurah-Daouk · 2019 to 2026
$54.1M
HHS | National Institutes of Health (NIH) U19AG063744NIA NIH HHS U19 AG063744NIA NIH HHS U24 AG021886
6 · The paper itself

Abstract

Large-scale studies are essential to answer questions about complex microbial communities that can be extremely dynamic across hosts, environments, and time points. However, managing acquisition, processing, and analysis of large numbers of samples poses many challenges, with cross-contamination being the biggest obstacle. Contamination complicates analysis and results in sample loss, leading to higher costs and constraints on mixed sample type study designs. While many researchers opt for 96-well plates for their workflows, these plates present a significant issue: the shared seal and weak separation between wells leads to well-to-well contamination. To address this concern, we propose an innovative high-throughput approach, termed as the Matrix method, which employs barcoded Matrix Tubes for sample acquisition. This method is complemented by a paired nucleic acid and metabolite extraction, utilizing 95% (vol/vol) ethanol to stabilize microbial communities and as a solvent for extracting metabolites. Comparative analysis between conventional 96-well plate extractions and the Matrix method, measuring 16S rRNA gene levels via quantitative polymerase chain reaction, demonstrates a notable decrease in well-to-well contamination with the Matrix method. Metagenomics, 16S rRNA gene amplicon sequencing (16S), and untargeted metabolomics analysis via liquid chromatography-tandem mass spectrometry (LC-MS/MS) confirmed that the Matrix method recovers reproducible microbial and metabolite compositions that can distinguish between subjects. This advancement is critical for large-scale study design as it minimizes well-to-well contamination and technical variation, shortens processing times, and integrates with automated infrastructure for enhancing sample randomization and metadata generation. IMPORTANCE: Understanding dynamic microbial communities typically requires large-scale studies. However, handling large numbers of samples introduces many challenges, with cross-contamination being a major issue. It not only complicates analysis but also leads to sample loss and increased costs and restricts diverse study designs. The prevalent use of 96-well plates for nucleic acid and metabolite extractions exacerbates this problem due to their wells having little separation and being connected by a single plate seal. To address this, we propose a new strategy using barcoded Matrix Tubes, showing a significant reduction in cross-contamination compared to conventional plate-based approaches. Additionally, this method facilitates the extraction of both nucleic acids and metabolites from a single tubed sample, eliminating the need to collect separate aliquots for each extraction. This innovation improves large-scale study design by shortening processing times, simplifying analysis, facilitating metadata curation, and producing more reliable results.

Indexed as

MicrobiotaRNA, Ribosomal, 16SHumansSpecimen HandlingRNA, Ribosomal, 16Scross-contaminationlarge-scale studiesmetabolomicsmicrobiomewell-to-well contamination

Identifiers

PMID39283083
PMCPMC11494942

What OpenQuestion 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 OpenQuestion graph.