Ontology highlight
ABSTRACT:
PROVIDER: PRJNA768330 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:To present, the only known inv*olvement of the gills in the immune response of shrimp is solely assisting the hemocytes in filtering out the harmful factors. This global expression of novel genes revealed several immune-related genes specifically expressed in high amounts only in gills. This data provide new insights on the immune defense of shrimp.
2019-08-08 | GSE105787 | GEO
Project description:The expanding field of epitranscriptomics might rival the epigenome in the diversity of biological processes impacted. However, the identification of multiple modification types in individual RNA molecules remains challenging. We present CHEUI, a new method that detects N6-methyladenosine (m6A) and 5-methylcytidine (m5C) in individual transcript molecules in a single condition as well as differential methylation between two conditions, using nanopore signals. CHEUI processes observed and expected signals with convolutional neural networks to achieve high single-molecule accuracy and outperform other methods in detecting m6A and m5C sites and quantifying their stoichiometry. Moreover, CHEUI’s unique capability to identify different modifications in the same signal data reveals a non-random co-occurrence of m6A and m5C in transcripts in human cell lines and during mouse embryonic brain development. CHEUI unlocks the capability of studying links between multiple RNA modifications and phenotypes, enabling the discovery of new epitranscriptome functions. Furthermore, CHEUI's training and testing protocols are adaptable to other modifications, making it a versatile RNA technology.
2022-10-31 | GSE211759 | GEO
Project description:The expanding field of epitranscriptomics might rival the epigenome in the diversity of biological processes impacted. However, the identification of multiple modification types in individual RNA molecules remains challenging. We present CHEUI, a new method that detects N6-methyladenosine (m6A) and 5-methylcytidine (m5C) in individual transcript molecules in a single condition as well as differential methylation between two conditions, using nanopore signals. CHEUI processes observed and expected signals with convolutional neural networks to achieve high single-molecule accuracy and outperform other methods in detecting m6A and m5C sites and quantifying their stoichiometry. Moreover, CHEUI’s unique capability to identify different modifications in the same signal data reveals a non-random co-occurrence of m6A and m5C in transcripts in human cell lines and during mouse embryonic brain development. CHEUI unlocks the capability of studying links between multiple RNA modifications and phenotypes, enabling the discovery of new epitranscriptome functions. Furthermore, CHEUI's training and testing protocols are adaptable to other modifications, making it a versatile RNA technology.
2024-01-16 | GSE253150 | GEO
Project description:The expanding field of epitranscriptomics might rival the epigenome in the diversity of biological processes impacted. However, the identification of multiple modification types in individual RNA molecules remains challenging. We present CHEUI, a new method that detects N6-methyladenosine (m6A) and 5-methylcytidine (m5C) in individual transcript molecules in a single condition as well as differential methylation between two conditions, using nanopore signals. CHEUI processes observed and expected signals with convolutional neural networks to achieve high single-molecule accuracy and outperform other methods in detecting m6A and m5C sites and quantifying their stoichiometry. Moreover, CHEUI’s unique capability to identify different modifications in the same signal data reveals a non-random co-occurrence of m6A and m5C in transcripts in human cell lines and during mouse embryonic brain development. CHEUI unlocks the capability of studying links between multiple RNA modifications and phenotypes, enabling the discovery of new epitranscriptome functions. Furthermore, CHEUI's training and testing protocols are adaptable to other modifications, making it a versatile RNA technology.
2022-10-31 | GSE211760 | GEO
Project description:Tumor ecosystems are composed of multiple cell types that communicate by ligand-receptor interactions. Targeting ligand-receptor interactions, for instance with immune check-point inhibitors, can provide significant benefit for patients. However, our knowledge of which interactions occur in a tumor and how these interactions affect outcome is still limited. We present an approach to characterize communication by ligand-receptor interactions across all cell types in a microenvironment using single-cell RNA sequencing. We apply this approach to identify and compare ligand-receptor interactions present in six syngeneic mouse tumor models. To identify interactions potentially associated with outcome, we regress interactions against phenotypic measurements of tumor growth rate. In addition, we quantify ligand-receptor interactions between T-cell subsets and their relation to immune infiltration using a publicly available human melanoma data-set. Overall, this approach provides a tool for studying cell-cell interactions, their variability across tumors, and their relationship to outcome.
2018-10-27 | GSE121861 | GEO
Project description:The transcriptomic response of two strains of the Pacific whiteleg shrimp, different in their resistance to Taura Syndrome Virus (TSV), in response to infection with TSV and Yellow Head Virus (YHV). Changes in gene expression in the shrimp’s hepatopancreas were assessed using a cDNA microarray containing 2,469 putative unigenes. The patterns of gene expression between the shrimp strains were considerably similar, except for the more advanced stages of Taura Syndrome. Between the different treatments approximately 250 genes were differently expressed. The most advanced stages of YHV infection showed the highest number of differently expressed genes. During infection there were profound changes in the expression of genes related to lipid and protein metabolism, cellular trafficking, immune defense and stress response. Keywords: Disease state analysis, disease resistance There were 5 biological replicates for each of the groups in this experiment. Also, two strains of Litopenaeus vannamei were used: a strain resistant to TSV and a strain susceptible to TSV (Kona line). The treatments consisted of injecting both strains with 60mL of a shrimp extract made from shrimp previously injected with either a SPF shrimp extract (1x10-4), Taura Syndrome Virus (1x10-5) or Yellow Head Virus (1x10-4). The 2 initial control groups were composed of hepatopancreas samples from both strains prior the injections. Samples were also collected from at days 1 and 2 from both strains from the 3 different treatments (control, TSV and YHV).
2009-10-23 | E-GEOD-13354 | biostudies-arrayexpress
Project description:Mitochondria fulfil many essential roles in eukaryotic cells, yet some of their molecular mechanisms are still unexplored. Although 99% of the mitochondrial proteins are imported from the cytosol, mitochondria have their own DNA, transcription and translation machinery. The Saccharomyces cerevisiae mitochondrial DNA contains 11 polycistronic transcripts that encode 2 ribosomal subunits, 24 tRNAs and 9 genes, which can be spliced in alternative ways to yield different proteins. There are still many unresolved questions about mitochondrial genes and their splicing, including how gene expression and splicing is affected by different growth conditions and what role introns play in mitochondrial physiology. In the present study, we aimed to elucidate this by developing an RNA-sequencing method for mitochondrial RNA using Nanopore technology.
2023-11-21 | GSE219013 | GEO