Dataset Information

Comparison of preservation and storage methods for metaproteomics of intestinal microbiome samples

ABSTRACT: The aim of this study was to develop a suitable method to preserve fecal samples for metaproteomics analyses when flash-freezing is not an option. Fecal samples were collected from conventional adult C57BL/6 mice and combined into a fecal master mix. The fecal master mix was then split into 48 subsamples that were subjected to different preservation treatments. The following six preservation methods were tested: flash-freezing in liquid nitrogen followed by storage at -80°C, immersion in RNAlater® and storage at room temperature, immersion in RNAlater® and immediate storage at -80°C, immersion in 95% ethanol and storage at room temperature, immersion in a RNAlater-like buffer “NAP buffer” and storage at room temperature, and immersion in an autoclaved RNAlater-like buffer “Autoclaved NAP buffer” and storage at room temperature. Proteins were extracted from the samples after being stored for 1 and 4 weeks. There were 4 replicates per treatment and time-point. Samples were analyzed by LC-MS/MS and the data were analyzed with Proteome Discoverer against a large database of mouse microbiota protein sequences.

INSTRUMENT(S): Q Exactive HF

ORGANISM(S): Mouse Gut Metagenome Mus Musculus (mouse)

SUBMITTER: Angie Mordant

LAB HEAD: Manuel Kleiner

PROVIDER: PXD024115 | Pride | 2021-11-25

REPOSITORIES: Pride

ACCESS DATA

Publications

Evaluation of Sample Preservation and Storage Methods for Metaproteomics Analysis of Intestinal Microbiomes.

Mordant Angie A Kleiner Manuel M

Microbiology spectrum 20211215 3

A critical step in studies of the intestinal microbiome using meta-omics approaches is the preservation of samples before analysis. Preservation is essential for approaches that measure gene expression, such as metaproteomics, which is used to identify and quantify proteins in microbiomes. Intestinal microbiome samples are typically stored by flash-freezing and storage at -80°C, but some experimental setups do not allow for immediate freezing of samples. In this study, we evaluated methods to pr ...[more]

PMID: 34908431

Similar Datasets

Project description:A transcriptome analysis was applied on two peach (Prunus persica L.) cultivars with different sensitivity to low temperature regimes to identify cold-responsive genes that might be involved in tolerance to long low temperature storage. Peach fruit from ‘Morettini No2’ and ‘Royal Glory’, a sensitive and a tolerant, to chilling injury cultivars, respectively, were harvested at commercial maturity stage and allowed to ripen at room temperature (25°C) or subjected to 4 and 6-weeks of cold storage (0°C, 95% R.H.) followed by ripening at room temperature. Microarray experiments, employing the peach microarray platform (μ PEACH 1.0), were carried out by comparing harvested fruit against 4- and 6-week cold-stored fruit. The analysis identified 173 and 313 genes that were differentially expressed in ‘Morettini No2’ and ‘Royal Glory’ fruit after 4 weeks, respectively. However, the 6 weeks cold storage provoked a decrease in the total number of genes differentially expressed in both cultivars. RNA blot analysis validated the differential expression of certain genes showed in microarray data. Among these genes, two heat shock proteins (hsps), a putative β-D-xylosidase, an expansin, a dehydrin and a pathogenesis-related protein PR-4B precursor were induced during cold storage in both cultivars. The induction of hsps and the putative β-D-xylosidase appeared to be independent on the duration of postharvest treatment. On the other hand, transcript levels of lipoxygenase were quite constant during postharvest ripening, while a strong reduction or disappearance was observed after cold storage. A dehydration-induced RD22-like protein showed a reduction in the accumulation of transcripts during postharvest ripening independently on the temperature conditions. Overall, the current study shed some light on the molecular aspects of cold stress in peach fruit quality and identified some ripening and/or cold-induced genes which function need further elucidation.

Dataset Information

Comparison of preservation and storage methods for metaproteomics of intestinal microbiome samples

Publications

Evaluation of Sample Preservation and Storage Methods for Metaproteomics Analysis of Intestinal Microbiomes.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure