Nocardia nova SH22a
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA225667 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Nocardia nova NBRC 15556 genome sequencing project
| PRJDB168 | ENA
Project description:Nocardia nova LGO-A14 Genome sequencing and assembly
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Project description:Spatial transcriptomics workflows using barcoded capture arrays are commonly used for resolving gene expression in tissues. However, existing techniques are either limited by capture array density or are cost prohibitive for large scale atlasing. We present Nova-ST, a dense nano-patterned spatial transcriptomics technique derived from randomly barcoded Illumina sequencing flow cells. Nova-ST enables customized, low cost, flexible, and high-resolution spatial profiling of large tissue sections. Benchmarking on mouse brain sections demonstrates significantly higher sensitivity compared to existing methods, at reduced cost.
2024-02-22 | GSE256318 | GEO
Project description:Nocardia nova and Nocardia cyriacigeorgica strains adapted to trimethoprim-sulfamethoxazole using experimental evolution
| PRJNA432572 | ENA
Project description:Spatial transcriptomics workflows using barcoded capture arrays are commonly used for resolving gene expression in tissues. However, existing techniques are either limited by capture array density or are cost prohibitive for large scale atlasing. We present Nova-ST, a dense nano-patterned spatial transcriptomics technique derived from randomly barcoded Illumina sequencing flow cells. Nova-ST enables customized, low cost, flexible, and high-resolution spatial profiling of large tissue sections. Benchmarking on mouse brain sections demonstrates significantly higher sensitivity compared to existing methods, at reduced cost.
2024-02-22 | GSE256319 | GEO
Project description:The control of RNA alternative splicing is critical for generating biological diversity. Despite emerging genome-wide technologies to study RNA complexity, reliable and comprehensive RNA-regulatory networks have not been defined. Here we used Bayesian networks to probabilistically model diverse datasets and predict the target networks of specific regulators. We applied this strategy to identify ~700 alternative splicing events directly regulated by the neuron-specific factor Nova in the mouse brain, integrating RNA-binding data, splicing microarray data, Nova-binding motifs, and evolutionary signatures. The resulting integrative network revealed combinatorial regulation by Nova and the neuronal splicing factor Fox, interplay between phosphorylation and splicing, and potential links to neurologic disease. Thus we have developed a general approach to understanding mammalian RNA regulation at the systems level.
2010-08-04 | GSE22115 | GEO
Project description:The control of RNA alternative splicing is critical for generating biological diversity. Despite emerging genome-wide technologies to study RNA complexity, reliable and comprehensive RNA-regulatory networks have not been defined. Here we used Bayesian networks to probabilistically model diverse datasets and predict the target networks of specific regulators. We applied this strategy to identify ~700 alternative splicing events directly regulated by the neuron-specific factor Nova in the mouse brain, integrating RNA-binding data, splicing microarray data, Nova-binding motifs, and evolutionary signatures. The resulting integrative network revealed combinatorial regulation by Nova and the neuronal splicing factor Fox, interplay between phosphorylation and splicing, and potential links to neurologic disease. Thus we have developed a general approach to understanding mammalian RNA regulation at the systems level. RNA from the whole brain or spinal cord of 4 wild type and 4 Nova1/2 double KO (dKO) E18.5 CD1 mice. One array per biological replicate.
2010-08-04 | E-GEOD-22115 | biostudies-arrayexpress