Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1214682 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Full-length amplicons describe species diversity Metagenome
| PRJNA1198361 | ENA
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
2010-01-01 | GSE18711 | GEO
Project description:A phylogenetic microarray targeting 66 families described in the human gut microbiota has been developped aud used to monitor the gut microbiota's structure and diversity. The microarray format provided by Agilent and used in this study is 8x15K. A study with a total of 4 chips was realized. Arrays 1 and 2: Hybridization with 100ng of labelled 16S rRNA gene amplicons from a mock community sample and 250ng of labelled 16S rRNA gene amplicons from 1 faecal sample. Each Agilent-030618 array probe (4441) was synthetized in three replicates. Arrays 3 and 4: Hybridization with 250ng of labelled 16S rRNA gene amplicons from 2 faecal samples. Each Agilent-40558 array probe (4441) was synthetized in three replicates.
2013-03-01 | E-GEOD-44752 | biostudies-arrayexpress
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
Project description:Single-cell genomics and single-cell transcriptomics have recently emerged as powerful tools to study the biology of single cells at a genome-wide scale. Here we describe a method that allows the integration of genomic DNA and mRNA sequencing from the same cell. We use this method to correlate DNA copy number variation to transcriptome variability among individual cells. First, hand-picked single cells are lysed and reverse transcribed using a poly-A primer including cell-specific barcodes, a 5' Illumina adapter and a T7 promoter overhang to convert mRNA to single stranded cDNA (ss cDNA). The gDNA and single stranded cDNA are then subjected to quasilinear whole genome amplification, as previously described, using an adapter with a defined 27 nucleotide sequence at the 5M-bM-^@M-^Y end followed by 8 random nucleotides. After 7 rounds of amplification, the gDNA and cDNA are copied to generate a variety of different short amplicon (0.5M-bM-^@M-^S2.5 kb) species, with a majority of amplicons containing adapter Ad-2 at both ends and a small fraction of cDNA derived amplicons containing Ad-2 at one end and Ad-1x at the other. Next, the sample is split into two tubes to further amplify gDNA and cDNA. The tube used to sequence gDNA is amplified using PCR. Following sonication, adapter Ad-2 removal, and cell-specific indexed Illumina library preparation, this half is used to sequence gDNA. The tube used to sequence cDNA is converted to double-stranded cDNA and amplified using in vitro transcription such that the amplified RNA (aRNA) is uniquely produced from cDNA but not gDNA. 3M-bM-^@M-^Y Illumina adapters are then ligated to the aRNA followed by reverse transcription and PCR, allowing quantification of mRNA.
2014-12-11 | E-GEOD-62952 | biostudies-arrayexpress
Project description:We describe a suite of predictive models, coined FASTmC, for non-reference, cost-effective exploration and comparative analysis of context-specific DNA methylation levels. Accurate estimations of true DNA methylation levels can be obtained from as few as several thousand short-reads generated from whole genome bisulfite sequencing. Our models make high-resolution time course or developmental, and large diversity studies practical regardless of species, genome size and availability of a reference genome.
2016-08-17 | GSE72155 | GEO
Project description:The intra sub-species diversity of six strains of Lactococcus lactis subsp. lactis was investigated at the genomic level and in terms of phenotypic and transcriptomic profiles in UF-cheese model. Six strains were isolated from various sources, but all are exhibiting a dairy phenotype. Our results showed that, the six strains exhibited small phenotypic differences since similar behaviour in terms of growth was obtained during cheese ripening while only different acidification capability was detected. Even if all strains displayed high genomic similarities, sharing a high core genome of almost two thousands genes, the expression of this core genome directly in the cheese matrix revealed major strain-specific differences. This strains with the same dairy origin. Strains were cultured on M17. At least three independent cultures of the six strains were performed. Genomic DNA was extracted from cells grown overnight on M17 and radiolabelled cDNA were prepared and hybridized on nylon arrays. 1948 amplicons specific of Lactococcus lactis IL1403 genes were spotted twice on the array. 3 independent repetitions were performed.
2012-09-07 | E-GEOD-23990 | biostudies-arrayexpress