Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Altered Subgenomic RNA Abundance Provides Unique Insight into SARS-CoV-2 B.1.1.7 Infections

ABSTRACT: Altered Subgenomic RNA Abundance Provides Unique Insight into SARS-CoV-2 B.1.1.7 Infections

PROVIDER: PRJEB48895 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

Altered Subgenomic RNA Abundance in SARS-CoV-2 B.1.1.7 Infections

Project description:SARS-CoV-2 lineage B.1.1.7 viruses are more transmissible, may lead to greater clinical severity, and result in modest reductions in antibody neutralization. Subgenomic RNA(sgRNA) is produced by discontinuous transcription of the SARS-CoV-2 genome. Applying our tool(periscope) to ARTIC Network Nanopore genomic sequencing data from 4400 SARS-CoV-2 positive clinical samples, we show that normalised sgRNA is significantly increased in B.1.1.7(alpha) infections(n=879). This increase is seen over the previous dominant circulating UK lineage, B.1.177(n=943), which is independent of genomic reads, E-gene cycle-threshold and days since symptom onset at sampling. A noncanonical sgRNA which could represent ORF9b is found in 98.4% of B.1.1.7 SARS-CoV-2 infections compared with only 13.8% of other lineages, with a 16-fold increase in median sgRNA abundance. We demonstrate that ORF9b protein levels are increased 6-fold in B.1.1.7 compared to a B lineage virus during in vitro culture. We hypothesise that this enhanced presence of ORF9b in B.1.1.7 viruses is a direct consequence of a triple nucleotide mutation in nucleocapsid(28280:GAT>CAT,D3L) creating a transcription regulatory-like sequence complementary to a region 3’ of the genomic leader. These findings provide a unique insight into the biology of B.1.1.7 and support monitoring of sgRNA profiles in sequence data to evaluate emerging potential variants of concern.

2021-11-26 | PXD029954 | Pride

Altered subgenomic RNA abundance provides unique insight into SARS-CoV-2 B.1.1.7/Alpha variant infections.

Project description:B.1.1.7 lineage SARS-CoV-2 is more transmissible, leads to greater clinical severity, and results in modest reductions in antibody neutralization. Subgenomic RNA (sgRNA) is produced by discontinuous transcription of the SARS-CoV-2 genome. Applying our tool (periscope) to ARTIC Network Oxford Nanopore Technologies genomic sequencing data from 4400 SARS-CoV-2 positive clinical samples, we show that normalised sgRNA is significantly increased in B.1.1.7 (alpha) infections (n = 879). This increase is seen over the previous dominant lineage in the UK, B.1.177 (n = 943), which is independent of genomic reads, E cycle threshold and days since symptom onset at sampling. A noncanonical sgRNA which could represent ORF9b is found in 98.4% of B.1.1.7 SARS-CoV-2 infections compared with only 13.8% of other lineages, with a 16-fold increase in median sgRNA abundance. We demonstrate that ORF9b protein levels are increased 6-fold in B.1.1.7 compared to a B lineage virus in vitro. We hypothesise that increased ORF9b in B.1.1.7 is a direct consequence of a triple nucleotide mutation in nucleocapsid (28280:GAT > CAT, D3L) creating a transcription regulatory-like sequence complementary to a region 3' of the genomic leader. These findings provide a unique insight into the biology of B.1.1.7 and support monitoring of sgRNA profiles to evaluate emerging potential variants of concern.

| S-EPMC9255483 | biostudies-literature

RNA-seq time-course of Calu-3 cells infected with SARS-CoV-2 early-lineage and Alpha variant viruses

Project description:Emergence of SARS-CoV-2 variants of concern (VOCs), including the globally successful Alpha (B.1.1.7) variant, suggests viral adaptation to enhance human-to-human transmission. Although much effort has focused on characterisation of spike changes, Alpha mutations outside spike likely contribute to adaptation. Here we used RNAseq as well as viral replication assays to show that Alpha isolates more effectively suppress innate immune responses (ISGs as assessed by RNA) in airway epithelial cells, compared to first wave isolates. We found that Alpha has dramatically increased subgenomic RNA and protein levels of N, Orf9b and Orf6, all known innate immune antagonists.

2021-12-31 | E-MTAB-11275 | biostudies-arrayexpress

Local ancestry inference provides insight into Tilapia breeding programmes

Project description:Local ancestry inference provides insight into Tilapia breeding programmes

| PRJEB38387 | ENA

The Piranha Genome Provides Molecular Insight Associated to Its Unique Feeding Behavior.

Project description:The piranha enjoys notoriety due to its infamous predatory behavior but much is still not understood about its evolutionary origins and the underlying molecular mechanisms for its unusual feeding biology. We sequenced and assembled the red-bellied piranha (Pygocentrus nattereri) genome to aid future phenotypic and genetic investigations. The assembled draft genome is similar to other related fishes in repeat composition and gene count. Our evaluation of genes under positive selection suggests candidates for adaptations of piranhas' feeding behavior in neural functions, behavior, and regulation of energy metabolism. In the fasted brain, we find genes differentially expressed that are involved in lipid metabolism and appetite regulation as well as genes that may control the aggression/boldness behavior of hungry piranhas. Our first analysis of the piranha genome offers new insight and resources for the study of piranha biology and for feeding motivation and starvation in other organisms.

| S-EPMC6681833 | biostudies-literature

A Unique insight into the MiRNA profile during Genital Chlamydial Infection

Project description:A Unique insight into the MiRNA profile during Genital Chlamydial Infection

| PRJNA485444 | ENA

Transcriptome evidence provides insight into Hox gene regulating rolling behavior in oniscidea

Project description:Transcriptome evidence provides insight into Hox gene regulating rolling behavior in oniscidea

| PRJNA657520 | ENA

Autoantibody repertoire characterization provides insight into the pathogenesis of dissimilar autoimmune diseases

Project description:Autoantibody repertoire characterization provides insight into the pathogenesis of dissimilar autoimmune diseases

| PRJNA921887 | ENA

Transcriptome of pig whole blood microRNAs provides insight into immune system development

Project description:Transcriptome of pig whole blood microRNAs provides insight into immune system development

| PRJNA590937 | ENA

Applying defective interfering viral genome bioinformatics for detection of coronavirus subgenomic RNAs

Project description:Coronavirus RNA-dependent RNA polymerases produce subgenomic RNAs (sgRNAs) that encode viral structural and accessory proteins. The kinetics and efficiency of sgRNAs production during viral replication in different cell types or sgRNA transcription by individual viral strains or variants are yet to be studied to shed light on fundamental mechanisms necessary for viral replication. User-friendly bioinformatic tools to detect and quantify sgRNA production are urgently needed to study a growing number of next-generation sequencing (NGS) data of SARS-CoV-2. Starting from DI-tector, a bioinformatic tool for the detection of viral defective interfering genomes, here we introduced sgDI-tector to identify and quantify sgRNA in SARS-CoV-2 NGS data. This new tool allowed detection of sgRNA without initial knowledge of the transcription-regulatory sequences. As a proof of principle, we analyzed new data sets and successfully detected the nested set of sgRNAs produced with the ranking M>ORF3a>N>ORF6>ORF7a>ORF8>S>E>ORF7b. Our study also compared, for the first time for SARS-CoV-2, the level of sgRNA production with other types of viral RNA products such as defective interfering viral genomes.

2021-12-28 | GSE180632 | 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