Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Simonsiella

ABSTRACT: Simonsiella sp. overview

PROVIDER: PRJNA197313 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR866839_1.fastq.gz	Fastqsanger.gz
	SRR866839_2.fastq.gz	Fastqsanger.gz
	SRR866840_1.fastq.gz	Fastqsanger.gz
	SRR866840_2.fastq.gz	Fastqsanger.gz
	SRR866841_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 14

Similar Datasets

Simonsiella muelleri

Project description:Simonsiella muelleri overview

| PRJNA42061 | ENA

Simonsiella muelleri strain:DSM 2579

Project description:3C-Seq of Simonsiella muelleri

| PRJNA837062 | ENA

Simonsiella muelleri strain:DSM 2579

Project description:Simonsiella muelleri DSM 2579 MFA

| PRJNA795451 | ENA

Simonsiella muelleri strain:DSM 2579

Project description:Simonsiella muelleri DSM 2579 RNA-Seq

| PRJNA795350 | ENA

Simonsiella muelleri strain:DSM 2759

Project description:Simonsiella muelleri DSM 2579 genome sequencing and assembly

| PRJNA687218 | ENA

Simonsiella muelleri isolate:ATCC 29453

Project description:Simonsiella muelleri isolate:ATCC 29453 Genome sequencing and assembly

| PRJNA361301 | ENA

Simonsiella muelleri DSM 2579 RNA-Seq

Project description:mRNA-Seq for differential gene expression analysis and delineation of chromosome interaction domains

2022-05-10 | GSE194135 | GEO

Transcriptomic and epigenetic dissection of spinal ependymomas (SP-EPN) identifies clinically relevant subtypes enriched for tumors with and without NF2 mutation [RNA-seq]

Project description:Background: Ependymomas encompass multiple, clinically relevant tumor types based on localization and molecular profiles. Although tumors of the methylation class “spinal ependymoma” (SP-EPN) represent the most common intramedullary neoplasms in children and adults, their developmental origin is ill-defined, molecular data are scarce, and the potential heterogeneity within SP-EPN remains unexplored. The only known recurrent genetic events in SP-EPN are loss of chromosome 22q and NF2 mutations, but neither types and frequency of these alterations nor their clinical meaning have been described in a large, epigenetically defined series. Methods: We mapped SP-EPN transcriptomes (n=76) to developmental atlases of the developing and adult spinal cord to uncover potential developmental origins of these tumors. In addition, transcriptomic, epigenetic (n=234), genetic (n=140), and clinical analyses (n=115) were integrated for a detailed overview on this entity. Results: Integration of transcriptomic ependymoma data with single-cell atlases of the spinal cord identified mature adult ependymal cells to display highest similarities to SP-EPN. Unsupervised hierarchical clustering of tumor data together with integrated analysis of methylation profiles identified two molecular SP-EPN subtypes. Subtype 1 predominantly contained NF2 wild type sequences with regular NF2 expression but revealed more extensive copy number alterations. Subtype 2 harbored previously known germline or sporadic NF2 mutations and was NF2-deficient in most cases, more often showed multilocular disease, and demonstrated a significantly reduced progression-free survival. Conclusion: Based on integrated molecular profiling of a large tumor series we identify two distinct SP-EPN subtypes with important implications for genetic counseling, patient surveillance, and drug development priorities.

2024-01-26 | GSE242992 | GEO