510 results for "cancer rna-seq"

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• Results of RNA sequencing from all patients/samples

  Results of sequencing the targeted RNA-seq panel of breast cancer patients and controls. This dataset comprises of FASTQ files of 295 samples (both breast cancer patients and controls) and the results of mapping the FASTQ files to the reference human genome (hg38) available in a form of raw gene expression matrix.

  Dataset EGAD50000000017

• RNA seq data of 2 lung cancer samples prepared using 2 different RNA-seq library preparation protocols

  Raw data used for generation of the results in the Vardetector manuscript – “.bam” files of RNA-seq data of tumor samples of 2 patients prepared with 2 different library preparation protocols (exome-capture and ribodepletion –> 4 “.bam” files in total). The submission also contains the somatic mutations “.vcf” files (4 in total, however 2 unique). Moreover, also an output of the Vardetector module (“.csv” file with the number of reads above the mutations of interest) is present in the submission (4 “.csv” files in total).

  Study EGAS50000001419

• Analysis of genomic alterations in dedifferentiated liposarcoma

  Multiomics analysis of rare cancers to identify genetic alterations related with pathogenesis and prognosis. To identification of genetics alterations of Dedifferentiated liposarcoma, DNAs and RNAs were extracted from dedifferentiated liposarcoma and paired non-cancer (normal) tissues. NGS libaraies were prepared by using Agilent SureSelect XT Human All Exon V5 + IncRNA kit for whole exome sequencing (WES) and TruSeq Stranded mRNA Prep kit or TruSeq RNA Access Library Prep kit (RNA seq). Sequencing was perfomred by Illumina HiSeq 2500.

  Study JGAS000182

• Deregulation of FOXF1/FENDRR from t(14;16)(q32;q24) defines a subtype of high risk lineage ambiguous leukemia

  Despite great progress in understanding the genomic basis of immature T-cell acute lymphoblastic leukemia/lymphoblastic lymphoma (T-ALL) and acute leukemias of ambiguous lineage (ALAL), there are still cases that lack defining genetic markers, complicating risk stratification and limiting targeted therapeutic options. Here, we describe a subtype of leukemia defined by the t(14;16)(q32;q24) translocation, which places the FOXF1 gene and its antisense long noncoding RNA gene FENDRR under the regulatory control of the BCL11B enhancer, leading to their ectopic transcriptional activation. Analysis of different high-throughput sequencing data, including WGS, RNA-seq, scDNA-seq, scRNA-seq, ChIP-seq, ATAC-seq, and HiChIP-seq, identified BCL11B-enhancer mediated deregulation of FOXF1/FENDRR as a hallmark of a subtype of high-risk lineage ambiguous leukemia that is potentially amenable to targeted therapeutic intervention.

  Study EGAS50000001255

• FAM50A_Disruption_in_TOV21G_Cells___RNAseq

  In this project we aimed to assess the transcriptional consequences of disrupting FAM50A in TOV21G cells in vivo. To do this we generated a dox inducible FAM50A gRNA allele such that we could conditionally inactivate FAM50A by feeding mice a diet containing doxycycline. Tumour masses were harvested from mice when they reached the ethical limit and RNA was extracted for RNA-Seq analysis.

  Study EGAS00001004156

• Gene Expression of Small Cell Carcinoma of the Ovary-Hypercalcemic Type (SCCOHT)

  Small cell carcinoma of the ovary-hypercalcemic type (SCCOHT) is a rare and aggressive form of ovarian cancer afflicting young women at a median age of 24 years. SCCOHTs are characterized by loss of protein expression of SWI/SNF chromatin remodeling ATPases SMARCA4 and SMARCA2 through mutation and epigenetic silencing, respectively. This study aims to establish gene expression profiles of this cancer through RNA-Seq of fourteen pathologically confirmed cases of SCCOHT tumors.

  Study phs001528

• RNA Sequencing Analysis of Patient-Derived Xenograft Tissue PIM-084 Treated with L-NMMA+Alpelisib vs Vehicle Control

  This dataset contains RNA-seq analysis of vehicle control compared to L-NMMA+alpelisib treated metaplastic breast cancer PDX PIM084 tumors (RNA sequencing and analysis performed by Novogene). The submitted data contains the gene ID, gene name, normalized read counts from all samples from control group and combination treatment group, log2-fold change derived from DESeq2 R/EdgeR package, p-value, adjusted p-value, read counts from each group, and gene FPKM from the each sample in the group. Due to patient privacy, we are submitting only the processed and desensitized RNA sequencing analysis to this repository.

  Study phs003814

• Breast Cancer TNBC Single-Cell RNA-Seq Dataset

  Single-cell RNA-Sequencing of five TNBC primary breast cancers from Wu et al. (2020) EMBO J study. Data was generated using the Chromium controller (10X Genomics) and sequenced on the NextSeq 500 platform.

  Dataset EGAD00001006981

• RNA sequencing data from patient derived colorectal cancer organoids

  This study aimed to develop NovumRNA, a bioinformatics pipeline designed to predict non-canonical tumor-specific antigens (ncTSAs) from human tumor RNA-sequencing data, potentially broadening the target pool for cancer neo-epitope-based immunotherapies. The pipeline was utilized to analyze RNA-seq data from ten patient-derived colorectal cancer (CRC) organoids, representing seven microsatellite stable (MSS) and three microsatellite instable (MSI) tumors. The goal was to explore the ncTSA landscape in CRC, particularly in MSS cases, which typically exhibit low tumor mutational burden and limited response to current immunotherapies. The study identified comparable ncTSA burdens across MSI and MSS tumors, suggesting new avenues for immunotherapy targeting non-canonical antigens in CRC. NovumRNA is available at: https://github.com/ComputationalBiomedicineGroup/NovumRNA.

  Study EGAS50000000685

• RNAseq of pre- and post-5AZA-treated head and neck cancer patients refractory to anti-PD-1 therapy

  RNA sequencing (RNA-seq) was performed on baseline (before low-dose 5-aza treatment) and on-treatment (low-dose 5-aza treatment for 5 or 10 days) tumor samples from eight participants with head and neck cancer who were refractory to anti-PD-1 therapy. RNA library preparations, sequencing reactions, and initial bioinformatics analyses were conducted at GENEWIZ, LLC. In total, 16 150-bp pair-end RNAseq data were generated.

  Dataset EGAD50000001010