Human gut metagenome
Ontology highlight
ABSTRACT:
PROVIDER: PRJDB12857 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| DRR346024_1.fastq.gz | Fastqsanger.gz | |||
| DRR346024_2.fastq.gz | Fastqsanger.gz | |||
| DRR346025_1.fastq.gz | Fastqsanger.gz | |||
| DRR346025_2.fastq.gz | Fastqsanger.gz | |||
| DRR346026_1.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 82 |
Similar Datasets
Project description:We compared gene expressions between primary fibroblasts from right- and left-sided colorectal cancer and adjacent normal tissue It is expected that the heterogeneous cancer associated fibroblasts contribute to different biological manifestation in right- and left-sided colorectal cancer. Characterisation of fibroblasts based on their expression profiles via microarray revealed specific markers related to tumour biology and thus elucidate the differentiating mechanism between right- and left-sided colorectal cancer.
2025-11-01 | GSE274061 | GEO
Project description:Purpose: Over the past few years, the distinction between left- and right-sided colon cancer has been brought into focus. Right-sided tumor location was associated with an inferior overall survival and progression-free survival. We aimed to perform a detailed analysis of the diversity in exosomes between left- and right-sided colon cancer using quantitative proteomics. Experimental Design: We isolated exosomes from left- and right-sided colon cancer patients and healthy volunteers and treated colorectal cancer cell line with serum-derived exosomes. Then we performed quantitative proteomics analysis of the serum-derived exosomes and cell line treated with exosomes, respectively. Results: The expression profile of the serum exosome proteome in patients with right-sided colon cancer is different from patients with left-sided colon cancer. Serum-derived exosomes of right-sided colon cancer promote metastasis via up-regulation of extracellular matrix-related proteins, especially proteoglycans like SPARC and glycoprotein like LRG1. Exosomal SPARC and LRG1 were closely correlated with progression-free survival. Conclusions: Proteomic analysis identified different exosomal protein profiling between left- and right-sided colon cancer. Serum-derived exosomes of right-sided colon cancer promote metastasis via overexpression of SPARC and LRG1.
2019-11-25 | PXD012304 | Pride
Project description:Purpose: Over the past few years, the distinction between left- and right-sided colon cancer has been brought into focus. Right-sided tumor location was associated with an inferior overall survival and progression-free survival. We aimed to perform a detailed analysis of the diversity in exosomes between left- and right-sided colon cancer using quantitative proteomics. Experimental Design: We isolated exosomes from left- and right-sided colon cancer patients and healthy volunteers and treated colorectal cancer cell line with serum-derived exosomes. Then we performed quantitative proteomics analysis of the serum-derived exosomes and cell line treated with exosomes, respectively. Results: The expression profile of the serum exosome proteome in patients with right-sided colon cancer is different from patients with left-sided colon cancer. Serum-derived exosomes of right-sided colon cancer promote metastasis via up-regulation of extracellular matrix-related proteins, especially proteoglycans like SPARC and glycoprotein like LRG1. Exosomal SPARC and LRG1 were closely correlated with progression-free survival. Conclusions: Proteomic analysis identified different exosomal protein profiling between left- and right-sided colon cancer. Serum-derived exosomes of right-sided colon cancer promote metastasis via overexpression of SPARC and LRG1.
2019-11-25 | PXD012283 | Pride
Project description:Colorectal cancers (CRCs) exhibit differences in incidence, pathogenesis, molecular pathways and outcome depending on the location of the tumor. The transcriptomes of 27,927 single human CRC cells, from three left-sided and three right-sided CRC patients were profiled by scRNA-seq. Right-sided CRC harbors a significant proportion of exhausted CD8 T cells of a highly migratory nature. One cluster of cells from left-sided CRC exhibiting states preceding exhaustion and a high ratio of “pre-exhausted” to exhausted T cells were favorable prognostic markers. Notably, we identified a novel RBP4+ NTS+ subpopulation of cancer cells that exclusively expands in left-sided CRC. Tregs from left-sided CRC showed higher levels of immunotherapy-related genes than those from right-sided CRC, indicating that left-sided CRC may have increased responsiveness to immunotherapy. Antibody-dependent cellular phagocytosis (ADCP) and antibody-dependent cellular cytotoxicity (ADCC) induced by M2-like macrophages were more pronounced in left-sided CRC and correlated with a good prognosis in CRC.
2021-11-15 | GSE188711 | GEO
Project description:In our study, we obtained paired normal left-sided and right-sided colon mucosa tissues by colonoscopy, and 9,642 individual cells were analyzed by single-cell RNA-seq, which aims to explore the differennces of cell component between the left and the right colon.
2024-06-10 | GSE176499 | GEO
Project description:Here, we discovered that the frequency of CD39+γδ Tregs, which positively correlated with poor prognosis, was significantly higher in right-sided colorectal cancer (RSCRC) than in the left-sided CRC (LSCRC). To explore the molecular mechanism leading to the difference of CD39+γδ Tregs derived from RSCRC and LSCRC, we collected fresh tissue samples of RSCRC with high expression of CD39+γδ Tregs and the LSCRC with low expression of CD39+γδ Tregs detected by flow cytometry and identified differential proteins by LC-MS based quantitative proteomic analysis with tandem mass tag (TMT)
2022-02-17 | PXD027323 | Pride
Project description:Alterations in glycosylation are seen in many types of cancer, including colorectal cancer (CRC). CRC is known to display glycosylation alterations. Glycans, the sugar moieties of glycoconjugates, are involved in many important functions relevant to cancer, such as cell signaling and adhesion, and may can be of value as biomarkers. In this study, we have used mass spectrometry to analyze the N-glycan profiles of 35 CRC tissue samples from patients with tumors in the right or left colon and 10 healthy tissue samples from non-CRC patients who underwent operations for other reasons. The tumor samples were divided into groups depending on tumor location (right or left colon) and stage (II or III), while the healthy samples were divided into right or left side of the colon. The levels of neutral and acidic N-glycan compositions and glycan classes were analyzed in a total of ten different groups. Surprisingly, there were no significant differences in glycan levels when all right- and left-sided CRC samples were compared, and few differences (such as in the abundance of the neutral N-glycan H3N5) were seen when the samples were divided according to both location and stage. Multiple significant differences were found in the levels of glycans and glycan classes when stage II and III samples were compared, and these glycans could be of value as candidates for new markers of cancer progression. In order to validate our findings, we analyzed healthy tissue samples from the right and left colon and found no significant differences in the levels of any of the glycans analyzed, confirming that our findings when comparing CRC samples from the right and left colon are not due to normal variations in the levels of glycans between the healthy right and left colon. Additionally, the levels of the acidic glycans H4N3F1P1, H5N4F1P1, and S1H5N4F1 were found to change in a cancer-specific but colon location-nonspecific manner, indicating that CRC affects glycan levels in similar ways, regardless of tumor location.
2020-06-10 | PXD018673 | Pride
Project description:Resolving the Difference Between Left-sided and Right-sided Colorectal Cancer by Single-cell Sequencing
| PRJNA779978 | ENA
Project description:<p><strong>BACKGROUND:</strong> Studies have reported clinical heterogeneity between right-sided colon cancer (RCC) and left-sided colon cancer (LCC). However, none of these studies used multi-omics analysis combining genetic regulation, microbiota and metabolites to explain the site-specific difference.</p><p><strong>METHODS:</strong> Here, 494 participants from a 16S rRNA gene sequencing cohort (50 RCC, 114 LCC and 100 healthy controls) and a multi-omics cohort (63 RCC, 79 LCC and 88 healthy controls) were analyzed. 16S rRNA gene, metagenomic sequencing and metabolomics analyses of fecal samples were evaluated to identify tumor location-related bacteria and metabolites. Whole-exome sequencing (WES) and transcriptome sequencing (RNA-seq) were conducted to obtain the mutation burden and genomic expression pattern.</p><p><strong>RESULTS:</strong> We found unique profiles of the intestinal microbiome, metabolome, and host genome between RCC and LCC. The bacteria Flavonifractor plautii (Fp) and Fusobacterium nucleatum, the metabolites L-phenylalanine, and the host genes PHLDA1 and WBP1 were the key omics features of RCC; whereas the bacteria Bacteroides sp. A1C1 (B.A1C1) and Parvimonas micra, the metabolites L-citrulline and D-ornithine, and the host genes TCF25 and HLA-DRB5 were considered the dominant omics features in LCC. Multi-omics correlation analysis indicated that RCC-enriched Fp was related to the accumulation of the metabolite L-phenylalanine and the suppressed WBP1 signal in RCC patients. In addition, LCC-enriched B.A1C1 was associated with accumulation of the metabolites D-ornithine and L-citrulline as well as activation of the genes TCF25, HLA-DRB5 and AC079354.1.</p><p><strong>CONCLUSION:</strong> Our findings identify previously unknown links between intestinal microbiota alterations, metabolites and host genomics in RCC vs. LCC, suggesting that it may be possible to treat colorectal cancer (CRC) by targeting the gut microbiota-host interaction.</p>
2024-12-16 | MTBLS10232 | MetaboLights
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