Primary Neuroblastoma Circle-seq
Ontology highlight
ABSTRACT:
PROVIDER: EGAS00001004797 | EGA |
REPOSITORIES: EGA
Similar Datasets
Project description:We generated Circle-seq data for 12 neuroblastoma cell lines to describe the landscape of extrachromosomal circular DNA in neuroblastoma.
| EGAS00001004796 | EGA
Project description:Circle-seq data for 21 primary neuroblastoma samples supporting Koche et al. Extrachromosomal circular DNA drives oncogenic genome remodeling in neuroblastoma (2020).
| EGAD00001006580 | EGA
Project description:This dataset comprises Circle-seq data for 12 neuroblastoma cell lines supporting Koche et al. Extrachromosomal circular DNA drives oncogenic genome remodeling in neuroblastoma (2020).
| EGAD00001006579 | EGA
Project description:Extrachromosomal circular DNA (eccDNA) is double-stranded circular DNA that is derived from but independent of chromosomal DNA. Owing to its nonchromosomal inheritance, eccDNA facilitates the amplification of oncogenes and expedites the process of genome evolution in tumor. However, the role of eccDNA in RB remains enigmatic. We combined Circle-Seq and RNA-Seq to identified crucial extrachromosomal circular oncogene amplicons. Herein, we revealed that extrachromosomal circular SUZ12 amplicon regulates H3K27me3 modification during the oncogenic progression of retinoblastoma. Conclusively, our study initially delineated an integrated picture of the eccDNA landscape in retinoblastoma and unveiled a novel SUZ12-containing eccDNA/H3K27me3 oncogenic mechanism where eccDNA dictates retinoblastoma progression through regulating transcription levels of linear DNA.
2023-07-02 | GSE235888 | GEO
Project description:Extrachromosomal circular DNAs (eccDNAs) have been discovered in various species and play a significant role in cancer development However, our understanding of eccDNAs in normal cells is limited. Here, we conducted eccDNA sequencing by Circle-seq in undifferentiated human bone marrow mesenchymal stem cells (uhBMSCs) and their differentiation into osteoblasts (OBs), chondrocytes (CCs), and adipocytes (ACs) to gain knowledge about eccDNAs in cell differentiation,
2024-04-15 | GSE261856 | GEO
Project description:We performed genotyping of Neuroblastoma Primary tumors using Illumina HumanHap 550 - v1,v3,v3duo and 610 Quad genotyping beadchips.
2011-09-15 | GSE19385 | GEO
Project description:This dataset contains gene expression data from the NRC series (Neuroblastoma Research Consortium) for a total of 283 primary neuroblastoma tumors. All tumor samples are fully annotated including patient age at diagnosis, overall and progresison free survival and MYCN amplification status, enabling subgroup analysis, survival analysis and gene expression network analysis.
2018-07-02 | GSE85047 | GEO
Project description:Reference1: Ohira M, Oba S, Nakamura Y, Isogai E, Kaneko S, Nakagawa A, Hirata T, Kubo H, Goto T, Yamada S, Yoshida Y, Fuchioka M, Ishii S, Nakagawara A. Expression profiling of human primary Expression profiling using a tumor-specific cDNA microarray predicts the prognosis of intermediate risk neuroblastomas. Cancer Cell. 2005 Apr;7(4):337-50. To predict the prognosis of neuroblastoma patients and choose a better therapeutic protocol, we developed a cDNA microarray carrying 5340 genes obtained from primary neuroblastomas and examined 136 tumor samples. We made a probabilistic output statistical classifier that provided a high accuracy in prognosis prediction (89% at 5 years) and a highly reliable method to validate it. Kaplan-Meier analysis indicated that the patients in an intermediate group defined by existing markers are divided by microarray into two further groups with 5 year survivals for 36% and 89% of patients (p < 10(-4)), i.e., with unfavorably and favorably predicted neuroblastomas, respectively. According to these results, we developed a gene subset chip for a clinical tool, for which our classifier exhibited 88% prediction accuracy. Datasets: neuroblastomas by CCC-NB200-Chip: GSM42338-GSM42387 Expression profiling of human primary neuroblastomas by CCC-NB5000-Chip: GSM42391-GSM42526 Keywords = Neuroblastoma
2005-05-12 | E-GEOD-2283 | biostudies-arrayexpress
Project description:Expression profiling in Neuroblastoma Primary tumors and Cell lines
2009-12-03 | GSE19274 | GEO
Project description:Reference1: Ohira M, Oba S, Nakamura Y, Isogai E, Kaneko S, Nakagawa A, Hirata T, Kubo H, Goto T, Yamada S, Yoshida Y, Fuchioka M, Ishii S, Nakagawara A. Expression profiling of human primary Expression profiling using a tumor-specific cDNA microarray predicts the prognosis of intermediate risk neuroblastomas. Cancer Cell. 2005 Apr;7(4):337-50. To predict the prognosis of neuroblastoma patients and choose a better therapeutic protocol, we developed a cDNA microarray carrying 5340 genes obtained from primary neuroblastomas and examined 136 tumor samples. We made a probabilistic output statistical classifier that provided a high accuracy in prognosis prediction (89% at 5 years) and a highly reliable method to validate it. Kaplan-Meier analysis indicated that the patients in an intermediate group defined by existing markers are divided by microarray into two further groups with 5 year survivals for 36% and 89% of patients (p < 10(-4)), i.e., with unfavorably and favorably predicted neuroblastomas, respectively. According to these results, we developed a gene subset chip for a clinical tool, for which our classifier exhibited 88% prediction accuracy. Datasets: neuroblastomas by CCC-NB200-Chip: GSM42338-GSM42387 Expression profiling of human primary neuroblastomas by CCC-NB5000-Chip: GSM42391-GSM42526 Keywords = Neuroblastoma Keywords: other
2005-05-12 | GSE2283 | GEO