Desemzia
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1328892 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Desemzia sp. C1 strain:C1 Genome sequencing and assembly
| PRJNA777376 | ENA
Project description:Desemzia incerta strain:67760 Genome sequencing
| PRJNA1335403 | ENA
Project description:We wished to examine the effect that coculture with Desemzia incerta would have on the S. aureus transcriptional profile. We have previously shown D. incerta to have antimicrobial activity against S. aureus. We used a transwell coculture system to separate the two bacterial cultures. Transcriptional profiling revealed downregulated of genes in the arc operon, the pur operon, the mnh family proteins, and cap family proteins and upregulations in the arg operon and the ahp opeorn. Subsequent biological follow-up revealed decrease in S. aureus biofiom formation after D. incerta co-culture.
2023-07-28 | GSE239513 | GEO
Project description:Desemzia incerta DSM 20581 genome sequencing
| PRJNA303632 | ENA
Project description:Desemzia incerta strain:EGm139 | isolate:EGm139 Genome sequencing
| PRJNA974032 | ENA
Project description:Transcriptional response of USA300 MRSA to coculture with EGM139 Desemzia incerta
| PRJNA999623 | 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 | GSE242993 | 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 | GSE242992 | GEO