Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: Long-read 16S rRNA NGS for identification of bacterial isolates

PROVIDER: PRJNA1173255 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR31059636_1.fastq.gz	Fastqsanger.gz
	SRR31059636_2.fastq.gz	Fastqsanger.gz
	SRR31059637_1.fastq.gz	Fastqsanger.gz
	SRR31059637_2.fastq.gz	Fastqsanger.gz
	SRR31059638_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 46

Similar Datasets

Gut microbiome-derived bacterial extracellular vesicles in patients with solid tumours

Project description:In this study, we performed a comparative analysis of gut microbiota composition and gut microbiome-derived bacterial extracellular vesicles (bEVs) isolated from patients with solid tumours and healthy controls. After isolating bEVs from the faeces of solid tumour patients and healthy controls, we performed spectrometry analysis of their proteomes and next-generation sequencing (NGS) of the 16S gene. We also investigated the gut microbiomes of faeces from patientsand controls using 16S rRNA sequencing. Machine learning was used to classify the samples into patients and controls based on their bEVs and faecal microbiomes.

2024-08-08 | PXD047510 | Pride

Identification of bacterial isolates

Project description:Identification of bacterial isolates by 16S rRNA

| PRJEB24570 | ENA

RNA-seq of iron-rich pelagic aggregates (iron snow) in 2017 and 2018

Project description:Iron-rich pelagic aggregates (iron snow) were collected directly onto silicate glass filters using an electronic water pump installed below the redoxcline. RNA was extracted and library preparation was done using the NEBNext Ultra II directional RNA library prep kit for Illumina. Data was demultiplied by GATC sequencing company and adaptor was trimmed by Trimgalore. After trimming, data was processed quality control by sickle and mRNA/rRNA sequences were sorted by SortmeRNA. mRNA sequences were blast against NCBI-non redundant protein database and the outputs were meganized in MEGAN to do functional analysis. rRNA sequences were further sorted against bacterial/archeal 16S rRNA, eukaryotic 18S rRNA and 10,000 rRNA sequences of bacterial 16S rRNA, eukaryotic 18S rRNA were subset to do taxonomy analysis.

2021-10-15 | E-MTAB-9686 | biostudies-arrayexpress

Genome-resolved metatranscriptomics reveals conserved root colonization determinants in a synthetic microbiota

Project description:The identification of processes activated by specific microbes during microbiota colonization of plant roots has been hampered by technical constraints in metatranscriptomics. These include lack of reference genomes, high representation of host or microbial rRNA sequences in datasets, or difficulty to experimentally validate gene functions. Here, we recolonized germ-free Arabidopsis thaliana with a synthetic, yet representative root microbiota comprising 106 genome-sequenced bacterial and fungal isolates. We used multi-kingdom rRNA depletion, deep RNA-sequencing and read mapping against reference microbial genomes to analyse the in-planta metatranscriptome of abundant colonizers. We identified over 3,000 microbial genes that were differentially regulated at the soil-root interface. Translation and energy production processes were consistently activated in planta, and their induction correlated with bacterial strains’ abundance in roots. Finally, we used targeted mutagenesis to show that several genes consistently induced by multiple bacteria are required for root colonization in one of the abundant bacterial strains (a genetically tractable Rhodanobacter). Our results indicate that microbiota members activate strain-specific processes but also common gene sets to colonize plant roots.

2023-11-03 | GSE231841 | GEO

Human fetal immunity and microbial priming during early development

Project description:Here we report the 16S rRNA sequencing results of human fetal tissues, to identify bacterial genera present in developing fetus.

2021-03-23 | GSE169306 | GEO

16S rRNA gene sequences aw6 p4, p5, p9, p10, p11, p12, p13, p14

Project description:Hypervariable regions V3-V5 of bacterial 16S rRNA genes. This data is part of a pre-publication release. For information on the proper use of pre-publication data shared by the Wellcome Trust Sanger Institute (including details of any publication moratoria), please see http://www.sanger.ac.uk/datasharing/

2014-03-14 | E-ERAD-254 | biostudies-arrayexpress

Microbial community structure of a lotic aquatic system receiving wastewater effluent

Project description:Total bacterial DNA was isolated from water and sediment samples from a local watershed and 16S rRNA sequences were analyzed using the Illumina MiSeq v3 platform in order to generate snapshots of bacterial community profiles.

2016-01-01 | GSE73842 | GEO

A phylogenetic microarray targeting 16S rRNA genes from the bacterial division Acidobacteria

Project description:Investigation of the phylogenetic diversity of Acidobacteria taxa using PCR amplicons from positive control 16S rRNA templates and total genomic DNA extracted from soil and a soil clay fraction A ten chip study using PCR amplicons from cloned 16S rRNA genes and from diverse soil 16S rRNAs, with PCR primers specific to the Division Acidobacteria. Each chip measures the signal from 42,194 probes (in triplicate) targeting Acidobacteria division, subdivision, and subclades as well as other bacterial phyla. All samples except one (GSM464591) include 2.5 M betaine in the hybridization buffer. Pair files lost due to a computer crash.

2010-06-24 | E-GEOD-18711 | biostudies-arrayexpress

GeoChip 5.0 microarray of the active bacterial community from both warming and control soil samples

Project description:To determine whether and how warming affects the functional capacities of the active microbial communities, GeoChip 5.0 microarray was used. Briefly, four fractions of each 13C-straw sample were selected and regarded as representative for the active bacterial community if 16S rRNA genes of the corresponding 12C-straw samples at the same density fraction were close to zero.

2023-12-30 | E-MTAB-13326 | biostudies-arrayexpress

Composition profile of gut microbiota uptaking plant-derived nanoparticles

Project description:Human diet emerges as a pivotal determinant of gut microbiota composition and function. Identification of the bacterial taxa targeted by diet derived factors with causal beneficial rather than detrimental effects on therapy and their mechanism of action is challenging but necessary for future clinical progress. The germ free mice colonized with human gut bacteria and four-plants derived nanoparticles uptaking bacteria were sorted with flow cytometry and identified with 16s rRNA next-generation sequencing.

2024-11-26 | GSE229897 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data