Ontology highlight
ABSTRACT:
PROVIDER: PRJNA196187 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:The utility of RADseq in an experimental setting is also demonstrated, based on our chasacterisation of an APOBEC mutation signature in an APOBEC3A transfected mouse cell line. 0D5 cells, derived from SSM3 cells, were co-transfected with a mixture containing pcDNA3.1 vectors expressing either APOBEC3A or APOBEC3B (kindly donated by Vincent Caval), pcDNA3.1 construct expressing deaminase null APOBEC3A linked to a uracil deglycosylase construct and a plasmid encoding mutant GFP and WT mCherry that is a reporter for APOBEC mutagenesis. Cells were grown, and gDNA extracted, prior to preparation of RADseq libraries using a PstI- MspI double-digest. Libraries underwent a Pippin Prep to select fragments in the size range of 220-520 bp (genomic sequence plus 148 bp of adapters). Single-end sequencing (1x101bp) was performed on an Illumina NovaSeq6000 utilizing v1.5 chemistry. Reads were aligned to mm10 using bwa mem and variants called using the GATK4 pipeline.
2023-06-30 | GSE234146 | GEO
Project description:Transcriptome analysis of partially degraded and fragmented RNA samples from body fluids Global gene expression profiling has shown great promise in high-throughput biomarker discovery for early disease detection in body fluids such as saliva, which is accessible, cost-effective, and non-invasive. However, this goal has not been fully realized because saliva, like many clinical samples, contains partially fragmented and degraded RNAs that are difficult to amplify and detect with prevailing technologies. Here, using nanogram scale salivary RNA as a proof-of-principle example, we describe our progress with a novel poly-A tail independent mRNA amplification strategy combined with the Affymetrix GeneChip Exon arrays. We defined a Salivary Exon Core Transcriptome (SECT) with highly similar expression profiles in healthy individuals verified by quantitative PCR. Informatics analysis of SECT provided important mechanistic insight to their potential origin and function. Finally we demonstrated the diagnostic potential of true exon level expression profiling approach with salivary exon biomarkers that accurately discriminated gender in healthy individuals.
2008-05-20 | GSE7760 | GEO
Project description:Pedicularis shansiensis Raw sequence reads
| PRJNA713966 | ENA
Project description:Transcriptome analysis of partially degraded and fragmented RNA samples from body fluids Global gene expression profiling has shown great promise in high-throughput biomarker discovery for early disease detection in body fluids such as saliva, which is accessible, cost-effective, and non-invasive. However, this goal has not been fully realized because saliva, like many clinical samples, contains partially fragmented and degraded RNAs that are difficult to amplify and detect with prevailing technologies. Here, using nanogram scale salivary RNA as a proof-of-principle example, we describe our progress with a novel poly-A tail independent mRNA amplification strategy combined with the Affymetrix GeneChip Exon arrays. We defined a Salivary Exon Core Transcriptome (SECT) with highly similar expression profiles in healthy individuals verified by quantitative PCR. Informatics analysis of SECT provided important mechanistic insight to their potential origin and function. Finally we demonstrated the diagnostic potential of true exon level expression profiling approach with salivary exon biomarkers that accurately discriminated gender in healthy individuals. We analyzed saliva from 18 healthy subjects (7 males, 11 females) using the Affymetrix Human Exon 1.0 ST platform. Array data was processed by Affymetrix Exon Array Computational Tool. No techinical replicates were performed.
2008-05-19 | E-GEOD-7760 | biostudies-arrayexpress
Project description:Pedicularis rex Genome sequencing and assembly
| PRJNA278143 | ENA