Changes in fecal microbiota profiles during frozen storage
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ABSTRACT:
PROVIDER: PRJEB33794 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| ERR3464820_1.fastq.gz | Fastqsanger.gz | |||
| ERR3464820_2.fastq.gz | Fastqsanger.gz | |||
| ERR3464830_1.fastq.gz | Fastqsanger.gz | |||
| ERR3464830_2.fastq.gz | Fastqsanger.gz | |||
| ERR3464840_1.fastq.gz | Fastqsanger.gz |
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Project description:<p><strong>BACKGROUND:</strong> Stool metabolites provide essential insights into the function of the gut microbiome. The current gold standard for storage of stool samples for metabolomics is flash-freezing at - 80 °C which can be inconvenient and expensive. Ambient temperature storage of stool is more practical, however no available methodologies adequately preserve the metabolomic profile of stool. A novel sampling kit (OMNImet.GUT; DNA Genotek, Inc.) was introduced for ambient temperature storage and stabilization of feces for metabolomics; we aimed to test the performance of this kit vs flash-freezing. To do this stool was collected from an infant's diaper was divided into 2 aliquots: 1) flash-frozen and 2) stored in an OMNImet.GUT tube at ambient temperature for 3-4 days. Samples from the same infant were collected at 2 different timepoints to assess metabolite changes over time. Subsequently, all samples underwent metabolomic analysis by liquid chromatography-tandem mass spectrometry (LC-MS/MS).</p><p><strong>RESULTS:</strong> Paired fecal samples (flash-frozen and ambient temperature) from 16 infants were collected at 2 timepoints (32 individual samples, 64 aliquots). Similar numbers of metabolites were detected in both the frozen and ambient temperature samples (1126 in frozen, 1107 in ambient temperature, 1064 shared between sample types). Metabolite abundances were strongly correlated between storage methods (median Spearman correlation Rs = 0.785 across metabolites). Hierarchical clustering analysis and principal component analysis showed that samples from the same individuals at a given timepoint clustered closely, regardless of the storage method. Repeat samples from the same individual were compared by paired t-test, separately for the frozen and OMNImet.GUT. The number of metabolites in each biochemical class that significantly changed (p < 0.05) at timepoint 2 relative to timepoint 1 was similar in flash-frozen vs ambient temperature storage. Changes in microbiota modified metabolites over time were also consistent across both methodologies.</p><p><strong>CONCLUSION:</strong> Ambient temperature storage and stabilization of stool in the OMNImet.GUT device yielded comparable metabolomic results to flash freezing in terms of 1) the identity and abundance of detected biochemicals 2) the distinct metabolomic profiles of subjects and 3) changes in metabolites over time that are plausibly microbiota-induced. This method potentially provides a more convenient, less expensive home collection and storage option for stool metabolomic analysis.</p>
2021-01-27 | MTBLS201 | MetaboLights
Project description:Microbiota diversity of three Brazilian native fishes during ice and frozen storage Raw sequence reads
| PRJNA1035758 | ENA
Project description:Introduction: Fecal microbiota transplantation (FMT) is recommended as safe and effective treatment for recurrent Clostridioides difficile infections. Freezing the FMT preparation simplifies the process, allowing a single stool sample to be used for multiple receivers and over an extended period of time. We aimed to assess the effect of long-term frozen storage on bacterial taxonomic profiles of a stool suspension prepared for FMT. Methods: DNA was extracted from a stool suspension before freezing and sequentially during the 18-month storage period at -80°C. Two different protocols were used for DNA extraction. The first relied on a classical mechanical and chemical cell disruption to extract both intra- and extracellular DNA; the second included specific pre-treatments aimed at removing free DNA and DNA from human and damaged bacterial cells. Taxonomic profiling of bacterial communities was performed by sequencing of V3-V4 16S rRNA gene amplicons. Results: Microbiota profiles obtained by whole DNA extraction procedure remained relatively stable during frozen storage. When DNA extraction procedure included specific pre-treatments, microbiota similarity between fresh and frozen samples progressively decreased with longer frozen storage times; notably, the abundance of Bacteroidetes decreased in a storage duration-dependent manner. The abundance of Firmicutes, the main butyrate producers in the colon, were not much affected by frozen storage for up to 1 year. Conclusion: Our data show that metataxonomic analysis of frozen stool suspensions subjected to specific pre-treatments prior to DNA extractions might provide an interesting indication of bacterial resistance to stress conditions and thus of chances of survival in FMT recipients.
| S-EPMC7058979 | biostudies-literature
Project description:Data was collected on a LC-MS/MS system (c-18 column) positive mode. Data analyzing storage conditions of different storage collection devices for human fecal samples.
2019-11-07 | MSV000084554 | MassIVE
Project description:Due to ease of acquisition, fecal samples are often used in studies investigating gut microbiota. Improper handling of these samples can lead to bacterial growth and alter bacterial composition. While freezing samples at -80 °C is considered gold standard, this is not suitable for studies utilizing self-sampling by lay participants or field studies. Thus to effectively prevent bacterial growth, techniques that allow efficient fecal storage outside laboratory facilities are needed. Fecal samples were collected from three donors. From each donor feces, 45 samples were collected and stored either freshly frozen at -80 or -20 °C, or in three separate storage buffers at room temperature or 4 °C for 24 or 72 hours. Bacterial composition was analyzed using Illumina amplicon sequencing of the V4 region of the 16 S rRNA gene. While storage conditions did affect bacterial composition and diversity compared to storage at -80 °C, the variation between donors superseded the variations introduced by storage. Samples stored at -20 °C most closely resembled those stored at -80 °C. When investigating variations in bacterial composition between separate study populations, fecal samples can efficiently be stored in -20 °C freezers or in one of the presented storage buffers, without severe alterations in bacterial composition.
| S-EPMC6255890 | biostudies-literature
Project description:We examine the RNA profile of LV and RV in donor heart with different period of storage (0, 4, and 8 hours) follwed by reperfusion. We find that both LV and RV has activated immune response after prolonged storage compared to 0h.
2021-09-08 | GSE174342 | GEO
Project description:Data was collected on a LC-MS/MS system (c-18 column) positive mode. Data analyzing storage conditions of different storage collection devices for human fecal samples.
2019-11-07 | MSV000084554 | GNPS
Project description:We conducted a comparison of scRNA-seq on four paired fresh and cryopreserved atheroma samples, two from coronary arteries and two from carotid arteries, to determine whether it is possible to obtain comparable data from frozen samples. After enzymatic digestion into single cell suspensions, we sorted CD45+ cells from half of each sample and immediately processed these using the 10X Genomics scRNA-seq workflow after collection, while the other half was frozen in liquid nitrogen. After cryopreservation for an average of 7 days, the other half of each sample was thawed and sorted identically to the fresh samples.
2022-10-31 | GSE179159 | GEO
Project description:Dysbiotic configurations of the human gut microbiota have been linked with colorectal cancer (CRC). Human small non-coding RNAs are also implicated in CRC and recent findings suggest that their release in the gut lumen contributes to shape the gut microbiota. Bacterial small RNAs (bsRNAs) may also play a role in carcinogenesis but their role is less explored. Here, we performed small RNA and shotgun sequencing on 80 stool specimens of patients with CRC, or adenomas, and healthy subjects collected in a cross-sectional study to evaluate their combined use as a predictive tool for disease detection. We reported a considerable overlap and correlation between metagenomic and bsRNA quantitative taxonomic profiles obtained from the two approaches. Furthermore, we identified a combined predictive signature composed by 32 features from human and microbial small RNAs and DNA-based microbiome able to accurately classify CRC from healthy and adenoma samples (AUC= 0.87). In summary we reported evidence that host-microbiome dysbiosis in CRC can be observed also by altered small RNA stool profiles. Integrated analyses of the microbiome and small RNAs in the human stool may provide insights for designing more accurate tools for diagnostic purposes.
2019-08-30 | GSE132236 | GEO
Project description:Comparison of the fecal microbiota during variable collection and storage methods
| PRJNA317493 | ENA