Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Nova-ST: Nano-Patterned Ultra-Dense platform for spatial transcriptomics [Nova-ST]

ABSTRACT: Nova-ST: Nano-Patterned Ultra-Dense platform for spatial transcriptomics [Nova-ST]

PROVIDER: PRJNA1079222 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR28047880_1.fastq.gz	Fastqsanger.gz
	SRR28047880_2.fastq.gz	Fastqsanger.gz
	SRR28047881_1.fastq.gz	Fastqsanger.gz
	SRR28047881_2.fastq.gz	Fastqsanger.gz
	SRR28047882_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 16

Similar Datasets

Nova-ST: Nano-Patterned Ultra-Dense platform for spatial transcriptomics [Nova-ST]

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

Nova-ST: Nano-Patterned Ultra-Dense platform for spatial transcriptomics [Stereo-Seq]

2024-02-22 | GSE256319 | GEO

Nova-ST: Nano-Patterned Ultra-Dense platform for spatial transcriptomics [Stereo-Seq]

Project description:Nova-ST: Nano-Patterned Ultra-Dense platform for spatial transcriptomics [Stereo-Seq]

| PRJNA1079077 | ENA

Nova-ST: Nano-patterned ultra-dense platform for spatial transcriptomics.

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 a reduced cost.

| S-EPMC11384075 | biostudies-literature

Nocardia nova

Project description:Nocardia nova overview

| PRJNA171194 | ENA

Project description:Drosophila melanogaster st, scarlet, is differentially expressed in 16 experiment(s);

| FBgn0003515 | ExpressionAtlas

Project description:Drosophila melanogaster st, scarlet, is expressed in 3 baseline experiment(s);

| FBgn0003515 | ExpressionAtlas

Nocardia nova SH22a

Project description:Nocardia nova SH22a Genome sequencing

| PRJNA225667 | ENA

Integrative modeling defines the Nova splicing-regulatory network and its combinatorial controls: Exon array data

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

Integrative modeling defines the Nova splicing-regulatory network and its combinatorial controls: Exon array data

2010-08-04 | GSE22115 | GEO