Ontology highlight
ABSTRACT:
PROVIDER: PRJNA552579 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Sensitive models of climate change impacts would require a better integration of multi-omics approaches that connect the abundance and activity of microbial populations. Here, we show that climate is a fundamental driver of the protein abundance of microbial populations (metaproteomics), yet not their genomic abundance (16S rRNA gene amplicon sequencing), supporting the hypothesis that metabolic activity may be more closely linked to climate than community composition.
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Project description:The study critically evaluate the results of 16S targeted amplicon sequencing performed on the total DNA collected from healthy donors’ blood samples in the light of specific negative controls.
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Project description:Here, we used reverse-phase liquid chromatography-coupled tandem mass spectrometry to study the pre-weaned lamb proteome and metaproteome in ten different gastrointestinal tracts: rumen, reticulum, omasum, abomasum, duodenum, jejunum, ileum, cecum, colon, and rectum.
2017-12-14 | PXD008192 | Pride
Project description:In this study we developed metaproteomics based methods for quantifying taxonomic composition of microbiomes (microbial communities). We also compared metaproteomics based quantification to other quantification methods, namely metagenomics and 16S rRNA gene amplicon sequencing. The metagenomic and 16S rRNA data can be found in the European Nucleotide Archive (Study number: PRJEB19901). For the method development and comparison of the methods we analyzed three types of mock communities with all three methods. The communities contain between 28 to 32 species and strains of bacteria, archaea, eukaryotes and bacteriophage. For each community type 4 biological replicate communities were generated. All four replicates were analyzed by 16S rRNA sequencing and metaproteomics. Three replicates of each community type were analyzed with metagenomics. The "C" type communities have same cell/phage particle number for all community members (C1 to C4). The "P" type communities have the same protein content for all community members (P1 to P4). The "U" (UNEVEN) type communities cover a large range of protein amounts and cell numbers (U1 to U4). We also generated proteomic data for four pure cultures to test the specificity of the protein inference method. This data is also included in this submission.
2017-05-12 | PXD006118 | Pride
Project description:Emerging data has highlighted the importance of short-chain fatty acids (SCFAs), particularly butyrate, in regulating ruminal homeostasis in vivo isolated epithelial cells. However, little is known about other SCFAs like acetate or propionate, and the interaction between rumen microbes and epithelial immunity are rarely reported. Here, we firstly combined infusion of three SCFAs, to study their different roles in ruminal development, antioxidant capacity, barrier functions, and immunity, as well as cross-talk with ruminal microbiome (16S rRNA sequencing data of rumen digesta) and derived transcriptome (RNA-Seq) and metabolism using an in vivo goat model.
2022-12-26 | GSE221508 | GEO
Project description:Emerging data has highlighted the importance of short-chain fatty acids (SCFAs), particularly butyrate, in regulating ruminal homeostasis in vivo isolated epithelial cells. However, little is known about other SCFAs like acetate or propionate, and the interaction between rumen microbes and epithelial immunity are rarely reported. Here, we firstly combined infusion of three SCFAs, to study their different roles in ruminal development, antioxidant capacity, barrier functions, and immunity, as well as cross-talk with ruminal microbiome (16S rRNA sequencing data of rumen digesta) and derived transcriptome (RNA-Seq) and metabolism using an in vivo goat model.
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Project description:Gut microbiota were assessed in 540 colonoscopy-screened adults by 16S rRNA gene sequencing of stool samples. Investigators compared gut microbiota diversity, overall composition, and normalized taxon abundance among these groups.
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Project description:We report the use of high-throughput sequencing technology to detect the microbial composition and abundance of mice grastic contents before and after Helicobacter pylori infection or Lactobacillus paracasei ZFM54 pretreatment/treatment. The genomic DNA was obtained by the QIAamp PowerFecal DNA Kit. Then, the DNA samples were sent to BGI Genomics Co., Ltd. (Shenzhen, China) for V3-V4 region of the 16S rRNA gene high-throughput sequencing with an Illumina MiSeq platform. DNA samples were sequenced using primers 338F (forward primer sequence ACTCCTACGGGAGGCAGCAG)-806R (reverse primer sequence GGACTACHVGGGTWTCTAAT). The sequencing analyses were carried out using silva138/16s database as a reference for the assignation of Amplicon Sequence Variant (ASV) at 100% similarity.
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