ArticleMicroorganisms2019
Sample Preservation and Storage Significantly Impact Taxonomic and Functional Profiles in Metaproteomics Studies of the Human Gut Microbiome.
Article in Microorganisms, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05457439 (Sustainable-psycho-nutritional Intervention Program and Its Effects on Water and Carbon Footprint, Metabolic Biomarkers, and Gut Microbiota in Mexican Population), which is not on this map. Cited by 22 papers.
What it found
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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.
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.
Sustainable-psycho-nutritional Intervention Program and Its Effects on Water and Carbon Footprint, Metabolic Biomarkers, and Gut Microbiota in Mexican Population: a m-Health Randomized Clinical Trial
Who cites it
22 citing papers in PubMed.
- Profiling the Athletes' Gut Microbiome: A Critical Methodological Perspective on 16S Metabarcoding and Shotgun Metagenomics.Biology · 2026Review
- Article
- Metaproteomic Analysis to Assess the Impact of Storage Media on Human Gut Microbiome in Fecal Samples.Proteomics · 2025Article
- Article
- Not all is lost: resilience of microbiome samples to freezer failures and long-term storage.mSphere · 2025Article
- Analysis of metagenomic data.Nature reviews. Methods primers · 2025Article
- Benchmarking low- and high-throughput protein cleanup and digestion methods for human fecal metaproteomics.mSystems · 2024Article
- Sustainable-psycho-nutritional intervention programme for a sustainable diet (the 'NutriSOS' study) and its effects on eating behaviour, diet quality, nutritional status, physical activity, metabolic biomarkers, gut microbiota and water and carbon footprints in Mexican population: study protocol of an mHealth randomised controlled trial.The British journal of nutrition · 2023Article
- Comprehensive evaluation of methods for differential expression analysis of metatranscriptomics data.Briefings in bioinformatics · 2023Article
- Impact of innovative nanoadditives on biodigesters microbiome.Microbial biotechnology · 2023Article
- Assessing and removing the effect of unwanted technical variations in microbiome data.Scientific reports · 2022Article
- Metaproteomics as a tool for studying the protein landscape of human-gut bacterial species.PLoS computational biology · 2022Article
- Storage of soil microbiome for application in sustainable agriculture: prospects and challenges.Environmental science and pollution research international · 2022Review
- Human Stool Preservation Impacts Taxonomic Profiles in 16S Metagenomics Studies.Frontiers in cellular and infection microbiology · 2022Article
- Evaluation of Sample Preservation and Storage Methods for Metaproteomics Analysis of Intestinal Microbiomes.Microbiology spectrum · 2021Article
- Evaluation of RNAMicrobiology spectrum · 2021Article
- The maintenance of microbial community in human fecal samples by a cost effective preservation buffer.Scientific reports · 2021Article
- Metaproteomics-An Advantageous Option in Studies of Host-Microbiota Interaction.Microorganisms · 2021Article
- Challenges, Strategies, and Perspectives for Reference-Independent Longitudinal Multi-Omic Microbiome Studies.Frontiers in genetics · 2021Article
- Effect of storage, temperature, and extraction kit on the phylogenetic composition detected in the human milk microbiota.MicrobiologyOpen · 2021Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
With the technological advances of the last decade, it is now feasible to analyze microbiome samples, such as human stool specimens, using multi-omic techniques. Given the inherent sample complexity, there exists a need for sample methods which preserve as much information as possible about the biological system at the time of sampling. Here, we analyzed human stool samples preserved and stored using different methods, applying metagenomics as well as metaproteomics. Our results demonstrate that sample preservation and storage have a significant effect on the taxonomic composition of identified proteins. The overall identification rates, as well as the proportion of proteins from
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Registered trials
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