Ontology highlight
ABSTRACT:
PROVIDER: PRJNA771375 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR16347381_subreads.fastq.gz | Fastqsanger.gz | |||
| SRR16343682_subreads.fastq.gz | Fastqsanger.gz | |||
| SRR16347382_subreads.fastq.gz | Fastqsanger.gz | |||
| SRR16343683_subreads.fastq.gz | Fastqsanger.gz | |||
| SRR16343684_subreads.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 12 |
Similar Datasets
Project description:The goal of this study was to determine how an HIV quasispecies is maintained in the face of selection. We deep sequenced the HIV provirus from cell populations as well as single cells at different time points from in vitro evolution experiments and found that when a less fit and more fit infect the same cell, they share components (complmentation) and therefore allow the less fit to perpetuate. We reproduced a quasispecies to an HIV reverse transcriptase inhibitor. The drug resistant genotype never completely supplanted the drug sensitive genotype, which stabilized at about 20% of viral sequences. Single-cell sequencing showed that resistant genotype frequency plateaued when cells were co-infected with sensitive and resistant genotypes, suggesting a sharing of viral proteins in co-infected cells (complementation), masking genotypic differences. To test if complementation can confer phenotypic drug resistance, we co-transfected fluorescently labelled molecular clones of sensitive and resistant HIV and observed drug resistance in genotypically sensitive virus from co-transfected cells. Resistant virus preferentially co-infected cells with drug sensitive HIV, explaining initiation of co-infections. Modelling showed that a stable quasispecies could form at the experimental multiplicities of infection. Conclusions: Complementation can lead to a quasispecies in infection environments where multiple infections per cell are common
2020-05-13 | GSE150390 | GEO
Project description:To assess compatibility in sequence analysis we compared results from Sanger sequencing (with sequencing threshold >15%) and Next Generation Sequencing (with sequencing treshold >5%). Totally, there were 60 patients included in this part of the study. Here we demonstrate how reliable tool for fast and accurate identification of low-level viral quasispecies is deep-sequencing.
2023-11-30 | E-MTAB-13563 | biostudies-arrayexpress
Project description:Photoperiodic spectral tuning of carbon metabolism in heterotrophic marine flavobacteria
| PRJNA532887 | ENA
Project description:To assess compatibility in sequence analysis we compared results from Sanger sequencing (with sequencing threshold >15%) and Next Generation Sequencing (with sequencing treshold >5%). Totally, there were 48 patients included in this part of the study but sequencing for one sample failed. Here we demonstrate how reliable tool for fast and accurate identification of low-level viral quasispecies is deep-sequencing.
2019-07-29 | E-MTAB-8153 | biostudies-arrayexpress
Project description:We used PacBio data to identify more reliable transcripts from hESC, based on which we can estimate gene/transcript abundance better from Illumina data. PacBio long reads and Illumina short reads were generated from the same hESC cell line H1. PacBio reads were error-corrected by Illumina reads to identify transcripts. rSeq is used to estimate gene/transcript abundance of the identified transcriptome.
2013-10-30 | E-GEOD-51861 | biostudies-arrayexpress
Project description:Objectives: To perform long-read transcriptome and proteome profiling of pathogen-stimulated peripheral blood mononuclear cells (PBMCs) from healthy donors. We aim to discover new transcripts and protein isoforms expressed during immune responses to diverse pathogens. Methods: PBMCs were exposed to four microbial stimuli for 24 hours: the TLR4 ligand lipopolysaccharide (LPS), the TLR3 ligand Poly(I:C), heat-inactivated Staphylococcus aureus, Candida albicans, and RPMI medium as negative controls. Long-read sequencing (PacBio) of one donor and secretome proteomics and short-read sequencing of five donors were performed. IsoQuant was used for transcriptome construction, Metamorpheus/FlashLFQ for proteome analysis, and Illumina short-read 3’-end mRNA sequencing for transcript quantification. Results: Long-read transcriptome profiling reveals the expression of novel sequences and isoform switching induced upon pathogen stimulation, including transcripts that are difficult to detect using traditional short-read sequencing. We observe widespread loss of intron retention as a common result of all pathogen stimulations. We highlight novel transcripts of NFKB1 and CASP1 that may indicate novel immunological mechanisms. In general, RNA expression differences did not result in differences in the amounts of secreted proteins. Interindividual differences in the proteome were larger than the differences between stimulated and unstimulated PBMCs. Clustering analysis of secreted proteins revealed a correlation between chemokine (receptor) expression on the RNA and protein levels in C. albicans- and Poly(I:C)-stimulated PBMCs. Conclusion: Isoform aware long-read sequencing of pathogen-stimulated immune cells highlights the potential of these methods to identify novel transcripts, revealing a more complex transcriptome landscape than previously appreciated.
2023-09-16 | PXD045237 | Pride
Project description:RNA viruses adapt rapidly to new host environments by generating highly diverse genome sets, so-called “quasispecies”. Minor genetic variants promote their rapid adaptation allowing for emergence of drug-resistance or immune-escape mutants. Understanding these adaptation processes is highly relevant to assess the risk of cross-species transmission, and safety and efficacy of vaccines and antivirals. We hypothesized that genetic memory within a viral genome population facilitates rapid adaptation.
2024-06-21 | GSE270448 | GEO
Project description:The response of human immunodeficiency virus type 1 (HIV-1) quasispecies to antiretroviral therapy is influenced by the ensemble of mutants that composes the evolving population. Low-abundance subpopulations within HIV-1 quasispecies may determine the viral response to the administered drug combinations. However, routine sequencing assays available to clinical laboratories do not recognize HIV-1 minority variants representing less than 25% of the population. Although several alternative and more sensitive genotyping techniques have been developed, including next-generation sequencing (NGS) methods, they are usually very time consuming, expensive and require highly trained personnel, thus becoming unrealistic approaches in daily clinical practice. Here we describe the development and testing of a HIV-1 genotyping DNA microarray that detects and quantifies, in majority and minority viral subpopulations, relevant mutations and amino acid insertions in 42 codons of the pol gene associated with resistance and multidrug resistance to protease (PR) and reverse transcriptase (RT) inhibitors. A customized bioinformatics protocol has been implemented to analyze the microarray hybridization data by including a new normalization procedure and a stepwise filtering algorithm which resulted in the highly accurate (96.33%) detection of positive/negative signals. This microarray has been tested with 57 subtype B HIV-1 clinical samples extracted from multi-treated patients, showing an overall identification of 95.53% and 89.24% of the queried PR and RT codons, respectively, and enough sensitivity to detect minority subpopulations representing as low as 5-10% of the total quasispecies. Such a genotyping platform represents an efficient diagnostic and prognostic tool useful to personalize antiviral treatments in clinical practice.
2016-11-30 | GSE90621 | GEO
Project description:Viral HCV quasispecies sample harbouring a large deletion.
| PRJNA232114 | ENA
Project description:PacBio SMRTseq long reads and Illumina short reads of pig heart, kidney, liver, lung, and spleen
2025-03-24 | GSE269429 | GEO