ABSTRACT: EMG produced TPA metagenomics assembly of the Gut microbiota of 10 pairs of Chinese infant twins (Gut microbiota of 10 pairs of Chinese infant twins) data set.
Project description:Background and aims. The etiopathology of inflammatory bowel diseases is still poorly understood. To date, only few little data are available on the microbiota composition in ulcerative colitis (UC), representing a major subform of inflammatory bowel diseases. Currently, one of the main challenges is to unravel the interactions between genetics and environmental factors in the onset or during the progression and maintenance of the disease. The aim of the present study was to analyse twin pairs discordant for UC for both gut microbiota dysbiosis and host expression profiles at a mucosal level and to get insight into the functional genomic crosstalk between microbiota and mucosal epithelium in vivo. Methods. Biopsies were sampled from the sigmoid colon of both healthy and diseased siblings from UC discordant twin pairs but also from healthy twins. Microbiota profiles were assessed by 16S rDNA libraries while mRNA expression profiles were analysed from the same volunteers using Affymetrix microarrays. Results. UC patients showed a dysbiotic microbiota with lower diversity and more species belonging to Actinobacteria and Proteobacteria phyla. On the contrary, their healthy siblingsM-bM-^@M-^Y microbiota contained more bacteria from the Lachnospiracea and Ruminococcaceae family than did healthy individuals . Sixty-three host transcripts significantly correlated with bacterial genera in healthy individuals whereas only 43 and 32 correlated with bacteria in healthy and UC siblings from discordant pairs, respectively. Several transcripts related to oxidative and immune responses were differentially expressed between unaffected and UC siblings. Conclusion. A loss of crosstalk between gut microbiota and host was highlighted in UC patients. This defect was also striking in healthy siblings from discordant pairs, as was the lower biodiversity within the microbiota. Our results suggest disease-relevant interactions between host transcriptome and microbiota. Moreover, unusual aerobic bacteria were noticed in UC mucosal microbiota, whereas healthy siblings from discordant pairs had higher percentages of potentially beneficialusual commensal bacterial species. Paired samples (twins) were analyzed to obtain data independent of genetic variation
Project description:Genome wide DNA methylation profiling of blood samples from eight female identical twins of Han Chinese for forensic age prediction, age 21 to 32. The Illumina Infinium HumanMethylation450 BeadChip was used to obtain DNA methylation profiles across approximately 485,000 CpGs at a single-nucleotide resolution. Samples included 8 pairs of identical female twins of Han Chinese.
Project description:Genome wide DNA methylation profiling of blood samples from eight female identical twins of Han Chinese for forensic age prediction, age 21 to 32. The Illumina Infinium HumanMethylation450 BeadChip was used to obtain DNA methylation profiles across approximately 485,000 CpGs at a single-nucleotide resolution. Samples included 8 pairs of identical female twins of Han Chinese. Bisulphite converted DNA isolated from blood of identical twin pairs were hybridised to the Illumina Infinium HumanMethylation450 BeadChip.
Project description:Background and aims. The etiopathology of inflammatory bowel diseases is still poorly understood. To date, only few little data are available on the microbiota composition in ulcerative colitis (UC), representing a major subform of inflammatory bowel diseases. Currently, one of the main challenges is to unravel the interactions between genetics and environmental factors in the onset or during the progression and maintenance of the disease. The aim of the present study was to analyse twin pairs discordant for UC for both gut microbiota dysbiosis and host expression profiles at a mucosal level and to get insight into the functional genomic crosstalk between microbiota and mucosal epithelium in vivo. Methods. Biopsies were sampled from the sigmoid colon of both healthy and diseased siblings from UC discordant twin pairs but also from healthy twins. Microbiota profiles were assessed by 16S rDNA libraries while mRNA expression profiles were analysed from the same volunteers using Affymetrix microarrays. Results. UC patients showed a dysbiotic microbiota with lower diversity and more species belonging to Actinobacteria and Proteobacteria phyla. On the contrary, their healthy siblings’ microbiota contained more bacteria from the Lachnospiracea and Ruminococcaceae family than did healthy individuals . Sixty-three host transcripts significantly correlated with bacterial genera in healthy individuals whereas only 43 and 32 correlated with bacteria in healthy and UC siblings from discordant pairs, respectively. Several transcripts related to oxidative and immune responses were differentially expressed between unaffected and UC siblings. Conclusion. A loss of crosstalk between gut microbiota and host was highlighted in UC patients. This defect was also striking in healthy siblings from discordant pairs, as was the lower biodiversity within the microbiota. Our results suggest disease-relevant interactions between host transcriptome and microbiota. Moreover, unusual aerobic bacteria were noticed in UC mucosal microbiota, whereas healthy siblings from discordant pairs had higher percentages of potentially beneficialusual commensal bacterial species.
Project description:Microbiota assembly in the infant gut is influenced by time and duration of dietary exposure to breast-milk, infant formula and solid foods.
Project description:An integrated metagenomics and metaproteomics investigation of human preterm infant gut microbiota.
2017-02-23 | MSV000080565 | MassIVE
Project description:EMG produced TPA metagenomics assembly of PRJNA819247 data set (Infant gut microbiome Raw sequence reads).
| PRJEB63102 | ENA
Project description:EMG produced TPA metagenomics assembly of the Metagenomic sequencing of preterm infant gut microbiota raw sequence reads () data set.
| PRJEB24849 | ENA
Project description:EMG produced TPA metagenomics assembly of PRJNA851847 data set (Mouse gut microbiota macrogenome).