ArticlemSystems2024
Clearing the plate: a strategic approach to mitigate well-to-well contamination in large-scale microbiome studies.
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.
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Who cites it
15 citing papers in PubMed.
- Interconnected influences of diet, gut microbiome, and metabolome on cognition across three metabolomics platforms.Research square · 2026Article
- CroCoDeEL: accurate control-free detection of cross-sample contamination in metagenomic data.Nature communications · 2026Article
- Antibiotic Exposure Through Human Milk Influences the Infant Gut Microbiome.bioRxiv : the preprint server for biology · 2026Article
- Article
- Standardized and batch effect-independent technologies enable global collaboration in microbiome research.The ISME journal · 2026Article
- Environmental and maternal imprints on infant gut metabolic development.Cell host & microbe · 2025Article
- A resource to empirically establish drug exposure records directly from untargeted metabolomics data.Nature communications · 2025Article
- Calculating fast differential genome coverages among metagenomic sources using micov.Communications biology · 2025Article
- Streamlined extraction of nucleic acids and metabolites from low- and high-biomass samples using isopropanol and matrix tubes.Microbiology spectrum · 2025Article
- Versatile wastewater monitoring of pathogens and antimicrobial resistance enabled by metatranscriptomics and long-read metagenomics.Research square · 2025Article
- Environmental and Maternal Imprints on Infant Gut Metabolic Programming.bioRxiv : the preprint server for biology · 2025Article
- Article
- Human Untargeted Metabolomics in High-Throughput Gut Microbiome Research: Ethanol vs Methanol.Analytical chemistry · 2025Article
- MS/MS Mass Spectrometry Filtering Tree for Bile Acid Isomer Annotation.bioRxiv : the preprint server for biology · 2025Article
- The microbiome diversifiesbioRxiv : the preprint server for biology · 2024Article
Corrections and comments
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Authors and funding
18 authors.
Funding
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.
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Registered trials
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.