Neochlamydia
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA243114 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:To further development of our gene expression approch to intracellular pathogenic bacterial controlling, we have employed castamized Neochlamydia S13 genomic microarray as a discovery platform to identy genes with the potential to inhibit Legionella growth into hoat amoebae , based on our data that the the amoebae haboring amoebal endosymbiont Neochlamydia S13 (an environmental chlamydia) could evade Legionella infection.
2014-12-31 | GSE54012 | GEO
Project description:Neochlamydia sp. AcF84 Genome sequencing and assembly
| PRJNA489593 | ENA
Project description:Neochlamydia sp. AcF95 Genome sequencing and assembly
| PRJNA684456 | ENA
Project description:Neochlamydia sp. AcF65 Genome sequencing and assembly
| PRJNA684461 | ENA
Project description:Neochlamydia sp. EPS4 Genome sequencing and assembly
| PRJNA242498 | ENA
Project description:Neochlamydia sp. TUME1 Genome sequencing and assembly
| PRJNA242497 | ENA
Project description:Amoebal endosymbiont Neochlamydia S13 gene expression in host amoebae when Leginella infected
| PRJNA234352 | ENA
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 | GSE242991 | GEO
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 | GSE242993 | GEO