4991 results for "*oma"

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• Single Cell RNA Seq LGG

  Single Cell RNA sequencing for 5 low grade glioma samples. NovaSeq6000 was used for scRNA Seq. The files uploaded are bam files created with grch38 reference.

  Dataset EGAD00001005368

• WES from two human osteosarcoma with two samples each from the corresponding cell line

  WES from two human osteosarcoma with two samples each from the corresponding cell line, BAM files

  Dataset EGAD00001005370

• Small-molecule inhibitors in melanoma - Kenski / Kong - WES (2019-04-11)

  Small-molecule inhibitors targeting the most commonly activated pathway in melanoma, MAPK pathway (either alone or in combination) are already given to melanoma patients for few years, and initially reduce tumour burden dramatically, eventually melanomas become resistant and tumours progress while on treatment. Resistance to this treatment occurs by acquisition of additional mutations or other alterations that affect the mitogen-activated protein kinase (MAPK) pathway by either direct or indirect signalling. Many resistance mechanisms somehow lead to reactivation of extracellular signal-regulated kinase (ERK), thereby restoring signalling of the oncogenic BRAF/MEK/ERK pathway. In addition, PI3K pathway activation contributes to resistance to BRAF inhibition. Less frequent but equally important to the phenomenon of targeted drug resistance is the observation that B15-20% of BRAF mutant melanoma patients fail to respond to BRAF inhibition already early on treatment, owing to intrinsic resistance. These patients have little therapeutic options, unless immunotherapy can be given. To better understand the resistance mechanisms in MAPK inhibitor-treated melanoma patients and melanoma biology, our lab generated a big panel of MAPK inhibitor resistant melanoma cell lines by continuous drug exposure. The understanding of the genetic landscape and gene expression as well as cross resistance to other treatment regimens, and other aspects of melanoma biology such as phenotype switch, will allow us to better exploit new therapeutic strategies for melanoma patients. . This dataset contains all the data available for this study on 2019-04-11.

  Dataset EGAD00001004952

• Highly recurrent U1 snRNA mutations drive alternative splicing in SHH medulloblastoma

  Highly recurrent U1 snRNA mutations drive alternative splicing in HH medulloblastoma

  Dataset EGAD00001004958

• multiple-region preneoplasia lung adenocarcinoma

  multi-region exome sequencing of 116 pulmonary nodules including lung preneoplasia atypical adenomatous hyperplasia (AAH, N=22), adenocarcinoma in situ (AIS, N=27), minimally invasive adenocarcinoma (MIA, N=54) and invasive lung adenocarcinoma (ADC, N=13).

  Dataset EGAD00001004960

• Multi-region sequencing of colon tumour biopsies and matched normals

  Dataset of adenoma and colon cancer multi-region sequencing. Publication: Nat Ecol Evol. 2018 Oct;2(10):1661-1672. doi: 10.1038/s41559-018-0642-z. Epub 2018 Aug 31.

  Dataset EGAD00001004966

• Hi-C datasets of primary glioblastoma cultures

  High-resolution (Sub-5 kbp resolution) Hi-C datasets generated using glioblastoma primary cultures from 3 different adult patients.

  Dataset EGAD00001004968

• VCF files of Roma and non-Roma Romanians

  VCF files with whole genome sequencing data of 49 individuals of European/Romanian descent, and 50 individuals of Roma (Romani/Rroma) ethnic background from Romania.

  Dataset EGAD00001004982

• BAM files of Roma and non-Roma Romanians

  BAM files (Illumina HiSeq 2000) with whole genome sequencing data of 49 individuals of European/Romanian descent, and 50 individuals of Roma (Romani/Rroma) ethnic background from Romania.

  Dataset EGAD00001004981

• RNA-seq data of 370 high grade ovarian tumors from the ICON7 trial

  Collection of RNA-seq, Illumina, paired-end fastq files for 370 archival tissues from a subset of patients with high grade serous ovarian carcinoma enrolled in the phase 3 ICON7 trial. Clinical data and digital pathology information for CD8 is also available.

  Dataset EGAD00001004988