IlAcrLepo
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB56405 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| ERR10313053_1.fastq.gz | Fastqsanger.gz | |||
| ERR10313053_2.fastq.gz | Fastqsanger.gz | |||
| ERR10357391.fastq.gz | Fastqsanger.gz | |||
| ERR11606287_1.fastq.gz | Fastqsanger.gz | |||
| ERR11606287_2.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 5 |
Similar Datasets
Project description:Acronicta leporina (the miller) genome assembly, ilAcrLepo1
| PRJEB57243 | ENA
Project description:Acronicta leporina (the miller) genome assembly, ilAcrLepo1, alternate haplotype
| PRJEB57242 | ENA
Project description:Acronicta alni (alder moth), genomic and transcriptomic data
| PRJEB74576 | ENA
Project description:Acronicta aceris (the sycamore), genomic and transcriptomic data
| PRJEB45160 | ENA
Project description:Clitopilus prunulus (the miller), genomic and transcriptomic data
| PRJEB79542 | ENA
Project description:Background. The bacterial foodborne pathogen Campylobacter jejuni is a common cause of acute gastroenteritis and is also associated with the postinfectious neuropathies, Guillain-Barré and Miller Fisher syndromes. This study described the use of multilocus sequence typing and DNA microarrays to examine the genetic content of a collection of South African C. jejuni strains, recovered from patients with enteritis, Guillain-Barré or Miller Fisher syndromes. Methodology/Principal Findings. The comparative genomic analysis by using multilocus sequence typing and DNA microarrays demonstrated that the South African strains with Penner heat-stable (HS) serotype HS:41 were clearly distinct from the other South African strains. Further analysis of the DNA microarray data demonstrated that the serotype HS:41 strains from South African GBS and enteritis patients are highly similar in gene content. Interestingly, the South African HS:41 strains were distinct in gene content when compared to serotype HS:41 strains from other geographical locations due to the presence of genomic islands, referred to as Campylobacter jejuni integrated elements. Only the genomic integrated element CJIE1, a Campylobacter Mu-like prophage, was present in the South African HS:41 strains whereas absent in the closely-related HS:41 strains from Mexico. A more distantly-related HS:41 strain from Canada possessed both genomic integrated elements CJIE1 and CJIE2. Conclusion/Significance. These findings demonstrated that these C. jejuni integrated elements may contribute to the differentiation of closely-related C. jejuni strains. In addition, the presence of bacteriophage-related genes in CJIE1 may probably contribute to increasing the genomic diversity of these C. jejuni strains. This comparative genomic analysis of the foodborne pathogen C. jejuni provides fundamental information that potentially could lead to improved methods for analyzing the epidemiology of disease outbreaks and their sources. Keywords: comparative genomic indexing analysis
2007-12-19 | GSE9862 | GEO
Project description:Some triple-negative breast cancer (TNBC) patients evaluated as Miller-Payne 4 with ypN0 after neoadjuvant chemotherapy (NACT) who have better prognosis should avoid escalation of therapy. We aim to identify these patients through evaluating pretherapeutic spatial distributions of immunophenotypes. Our retrospective study in patients with TNBC assessed as Miller-Payne grade 4/5 with ypN0 showed that Miller-Payne 4 with ypN0 group had poorer 5-year disease-free survival (DFS, 63.8% vs 83.0%, p=0.003) and the 5-year overall survival (OS, 71.0% vs 85.5%, p=0.007) than Miller-Payne 5 with ypN0 group. High TILs were significantly associated with better DFS and OS in patients with Miller-Payne 4 and ypN0 (both p=0.016). Spatially, detected by multiplexed ion beam imaging by time of flight combined with proteomics, tumors assessed as Miller-Payne 4 and ypN0 with good prognosis exhibited an inflamed phenotype, with dominant CD8+ T cells on tumor center, few scattered CD68+ myeloid-derived cells far away from T cells, and deposit of increased activated molecules of lymphocyte. While those with poor prognosis presented excluded phenotype, with few CD8+ T cells restricted to invasive margin and a high density of CD14+CD68+CD11c+ myeloid cells. A good classifier model based on 29 spatial immunophenotypes was established by the random forest algorithm (AUC=0.975), for identifying patients with Miller-Payne 4 and ypN0 who had favorable prognosis. We also observed similar signatures in patients with Miller-Payne 5 and ypN0. Taken together, spatial immunophenotypes may assess the prognosis in TNBC patients with Miller-Payne 4 and ypN0 after NACT.
2023-07-08 | PXD029186 | Pride