Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: Fecal microbiota of patients with Parkinson's disease

PROVIDER: PRJNA1159471 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR30628700_1.fastq.gz	Fastqsanger.gz
	SRR30628700_2.fastq.gz	Fastqsanger.gz
	SRR30628800_1.fastq.gz	Fastqsanger.gz
	SRR30628800_2.fastq.gz	Fastqsanger.gz
	SRR30628701_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 332

Similar Datasets

FMT study

Project description:Fecal microbiota transplantation in Parkinson's disease

| PRJEB68317 | ENA

Impact of fecal microbiota transplantation (FMT) in 3 days-ABX-treated recipient mice using feces from 6 NSCLC patients at diagnosis.

Project description:This study aimed to analyze changes in gut microbiota composition in mice after transplantation of fecal microbiota (FMT, N = 6) from the feces of NSCLC patients by analyzing fecal content using 16S rRNA sequencing, 10 days after transplantation. Specific-pathogen-free (SPF) mice were used for each experiments (N=4) as controls.

2023-07-01 | E-MTAB-12812 | biostudies-arrayexpress

Disease Severity and Immune Activity Relate to Inter-Kingdom Gut Microbiome States in Ethnically Distinct Ulcerative Colitis Patients

Project description:Significant gut microbiota heterogeneity exists amongst UC patients though the clinical implications of this variance are unknown. European and South Asian UC patients exhibit distinct disease risk alleles, many of which regulate immune function and relate to variation in gut microbiota Î²-diversity. We hypothesized ethnically distinct UC patients exhibit discrete gut microbiotas with unique luminal metabolic programming that influence adaptive immune responses and relate to clinical status. Using parallel bacterial 16S rRNA and fungal ITS2 sequencing of fecal samples (UC n=30; healthy n=13), we corroborated previous observations of UC-associated depletion of bacterial diversity and demonstrated significant gastrointestinal expansion of Saccharomycetales as a novel UC characteristic. We identified four distinct microbial community states (MCS 1-4), confirmed their existence using microbiota data from an independent UC cohort, and show they co-associate with patient ethnicity and degree of disease severity. Each MCS was predicted to be uniquely enriched for specific amino acid, carbohydrate, and lipid metabolism pathways and exhibited significant luminal enrichment of metabolic products from these pathways. Using a novel in vitro human DC/T-cell assay we show that DC exposure to patient fecal water led to MCS -specific changes in T-cell populations, particularly the Th1:Th2 ratio, and that patients with the most severe disease exhibited the greatest Th2 skewing. Thus, based on ethnicity, microbiome composition, and associated metabolic dysfunction, UC patients may be stratified in a clinically and immunologically meaningful manner, providing a platform for the development of FMC-focused therapy. Fecal microbiome was assessed with Affymetrix PhyloChip arrays from patients with ulcerative colitis and healthy controls.

2016-07-25 | E-GEOD-78724 | biostudies-arrayexpress

Project description:16s microbiome of Parkinson's disease patients' fecal sample

| PRJNA1106422 | ENA

Project description:Fecal gut microbiome of patients with Parkinson's disease

| PRJNA1177354 | ENA

16S Analysis of Poly I:C treated mouse to induce ASD

Project description:Fecal Microbiota rawdata from autistic model mice. Female and Male Poly I:C treated mice were compared at microbiota level.

2023-05-04 | E-MTAB-11150 | biostudies-arrayexpress

The impact of gut microbiome on transcriptome in Parkinson's disease model revealed by fecal microbiota transplantation

Project description:Parkinson's disease (PD) is a common neurodegenerative disease in middle-aged and elderly people. The disorder of gut microbiota is involved in the pathophysiological process of various neurological diseases, and many studies have confirmed that gut microbiota is involved in the progression of PD. As one of the most effective methods to reconstruct gut microbiota, fecal microbiota transplantation (FMT) has been considered as an important treatment for PD. However, the mechanism of FMT treatment for PD is still lacking, which requires further exploration and can facilitate the application of FMT. As a model organism, Drosophila is highly conserved with mammalian system in maintaining intestinal homeostasis. In this study, there were significant differences in the gut microbiota of conventional Drosophila colonized from PD patients compared to those transplanted from normal controls. And we constructed rotenone-induced PD model in Drosophila followed by FMT in different groups, and investigated the impact of gut microbiome on transcriptome of the PD host. Microbial analysis by 16S rDNA sequencing showed that gut microbiota could affect bacterial structure of PD, which was confirmed by bacterial colonization results. In addition, transcriptome data suggested that gut microbiota can influence gene expression pattern of PD. Further experimental validations confirmed that lysosome and neuroactive ligand-receptor interaction are the most significantly influenced functional pathways by PD-derived gut microbiota. In summary, our data reveals the influence of PD-derived gut microbiota on host transcriptome and helps better understanding the interaction between gut microbiota and PD through gut-brain axis. The present study will facilitate the understanding of the mechanism underlying PD treatment with FMT in clinical practice.

2023-01-13 | GSE221760 | GEO

Gut microbiota composition after 12 weeks of home based lifestyle intervention in breast cancer survivors (MOVIS)

Project description:Analysis of breast cancer survivors' gut microbiota after lifestyle intervention, during the COVID-19 lockdown, by 16S sequencing of fecal samples.

2023-01-13 | E-MTAB-12486 | biostudies-arrayexpress

16SrRNA analysis from wildtype mice that were either fed or not with low protein diets for 4 weeks

Project description:We found that low protein diet consumption resulted in decrease in the percentage of normal Paneth cell population in wild type mice, indicating that low protein diet could negatively affect Paneth cell function. We performed fecal microbiota composition profiling. Male mice were used at 4-5 weeks of age. Fecal samples were collected for microbiome analysis.

2023-07-02 | E-MTAB-11277 | biostudies-arrayexpress

human gut metagenome

Project description:Microbiota for Parkinson's disease

| PRJDB8639 | ENA