15020 results for "cancer studies using rna-seq"

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• A Functional Network of Gastric-Cancer-Associated Splicing Events Controlled by Dysregulated Splicing Factors

  Except for a few genes known to have oncogenic spliceforms in gastric cancer, the full scope of aberrant splicing in gastric oncogenesis remains unclear. In this study, we elucidated the alternative splicing events associated with gastric carcinogenesis and identified upstream regulators governing these events. We performed RNA-seq on 19 matched tumor/normal pairs and a panel of gastric cancer cell lines, and identified 361 tumor associated (TA) alternative splicing events (ASEs), which included known oncogenic ASEs in genes such as INSR, FGFR2, CD44 and KRAS. We further identified 8 splicing factors dysregulated in gastric tumors, the expression of which are correlated to the splice ratio of the TA ASEs. We thereby constructed a dysregulated splicing network in gastric cancer, consisting of alternative splicing changes correlated to their potential regulators. This network featured three potential regulatory modules centered around the splicing factors ESRP2, MBNL1 and PTPB1. Knockdown of each splicing factor led to the expected changes in splicing of approximately half of the ASEs assayed. Thus, dysregulation of the splicing factors indeed was the cause of many of the TA ASEs. Pathway enrichment analysis showed that genes affected by tumor associated splicing were pre-dominantly involved in cytoskeletal organization. Concordant with this, knockdown of the splicing factors regulating the TA ASEs led to the expected changes in trans-well migration activity. Thus, we have established for the first time a comprehensive splicing network that likely drives gastric tumor progression, based on which novel therapeutic targets can be identified for further evaluation.

  Study EGAS00001002256

• Gene-Specific RNA Sequencing in PLCG2-Associated Immune Dysregulation with Cold Urticaria

  This study utilized gene-specific RNA-sequencing of PLCG2 to screen for disease causing in-frame exon-skipping transcripts of PLCG2 in a collection of 9 subjects with cold urticaria, 2 subjects with known PLCG2-associated antibody deficiency and immune dysregulation (PLAID)-causing deletions of PLCG2 (positive controls) and 3 healthy subjects (negative controls). Full length cDNA of PLCG2 was generated using gene specific reverse transcription of peripheral blood mononuclear cell RNA. The full length PLCG2 cDNA was used as the template to create Illumina sequencing libraries. To identify the underlying genetic basis for the exon-skipping transcripts, trio-based whole genome sequencing was performed for probands in whom in-frame exon-skipping transcripts of PLCG2 were identified.

  Study phs003807

• MicroRNA Biomarkers for Prediction of Preeclampsia

  Maternal serum was collected between 17-28 weeks gestation. Samples were obtained from the high-risk Placental Study at the University of California, San Diego (n=48) and from the average-risk Proteomic Assessment of Preterm Risk (PAPR) Study at Sera Prognostics (n=164). RNA was extracted from 500 microliter of maternal serum using the miRNeasy Micro kit (Qiagen). NEBNext Small RNAseq Library Preparation Kit was used for library construction.

  Study phs002016

• Bulk RNAseq FASTQ files of WNT7B reporter PDAC organoids (P28 and P40) sorted by mNeonGreen high and low

  This dataset contains raw FASTQ files from bulk RNA sequencing of two patient-derived PDAC organoid lines (P28 and P40) carrying a WNT7B reporter knock-in. Organoids were sorted into mNeonGreen high (WNT-high) and low (WNT-low) populations, with three biological replicates per sorted population. RNA was extracted using the Qiagen QiaSymphony SP system, and libraries were prepared with the Illumina Truseq stranded polyA kit. Sequencing was performed on an Illumina NextSeq2000 platform using single-end 50bp reads. Quality control was conducted with FastQC, and reads were trimmed with TrimGalore as appropriate. Data are controlled-access and intended for transcriptomic analysis of WNT7B expression-dependent transcriptional programs in PDAC organoids.

  Dataset EGAD50000002218

• Transcriptomic profiling of myeloid cells from secondary lymphoid organs (lymph nodes and tonsils) from lymphoma patients and controls.

  Despite their recognized impact on the pathogenesis and prognosis of B-cell lymphoma, tumor-associated macrophages (TAM) have not been extensively explored in diffuse large B-cell lymphoma (DLBCL) and follicular lymphoma (FL). We investigated mononuclear phagocyte (MNP) heterogeneity using single cell RNA sequencing (scRNAseq) in B-cell lymphoma lymph nodes compared to reactive secondary lymphoid organs (lymph nodes and tonsils).

  Study EGAS50000001135

• HG Transcriptome sequencing in the INTERVAL cohort

  We performed bulk RNA-sequencing on peripheral blood collected from 4,732 blood donors recruited as part of the INTERVAL study. Using these data, we mapped gene expression and splicing quantitative trait loci (QTLs). Then, we integrated these data with protein, metabolite and lipid QTLs in the same individuals. The study aimed to identify the shared genetic etiology across transcriptional phenotypes, molecular traits and health outcomes in humans.

  Study EGAS00001003346

• Multiomics Characterization of Low-grade Serous Ovarian Carcinoma

  Low-grade serous ovarian carcinoma (LGSOC) is a rare tumor subtype with high case fatality rates. There is a pressing need to develop effective treatments using newly available preclinical models for therapeutic discovery and drug evaluation. In this study, we use multiomics integration of whole exome sequencing, RNA sequencing, and mass spectrometry-based proteomics on fourteen LGSOC patient derived cell lines to elucidate novel biomarkers and therapeutic vulnerabilities.

  Study EGAS00001004724

• Identification of Novel Therapeutic Targets for Calcific Aortic Valve Stenosis Using Integrative Genomics

  In order to identify novel therapeutic targets for calcific aortic valve stenosis, we have generated a large transcriptomic dataset from RNA sequencing of human aortic valve tissues from 500 individuals undergoing aortic valve replacement or heart transplant at the Institut universitaire de cardiologie et de pneumologie de Québec – Université Laval (QUEBEC-CAVS-RNA). This dataset represents a unique resource to understand the molecular mechanisms underlying aortic valve diseases.

  Study phs003541

• Exome sequencing of a novel cervical cancer cell line

  Human cancer cell lines are largely used in the searching for new antineoplastic agents. However, due to the artifacts of a long-term in culture, cell lines do not always represent the realistic tumor cell behavior. This has motivated the development of models that better mimetics the tumor tissue, among them, the establishment of primary cell cultures. In this work, we establish and characterized a low-passage cervix cancer cell line from a Brazilian patient with squamous cell carcinoma. The phenotype confirms the epithelial and tumor origin, through cytokeratins, EpCAM, and p16 staining. Whole exome sequencing showed relevant somatic mutations in several genes including BRCA2, TGFBR1, and IRX2 genes. CNV analysis by nanostring and WGS revealed amplification in genes related mainly with kinases proteins, involved in proliferation, migration and cell differentiation, such as EGFR, PIK3CA, and MAPK7. Overexpression of EGFR was confirmed by phospho RTK-array and western blot analysis. Furthermore, the cell was sensitivity to cisplatin, with IC50 13 times lower than SiHa cell line. In conclusion, this cervical cancer cell line presents molecular alterations that are an important tool for leading pre-clinical studies of new drugs that target one or more of the altered pathways.

  Study EGAS00001003343

• RNA-sequencing data from metastatic Castration-Resistant Prostate Cancer (mCRPC)

  The goal of this study is to characterize the transcriptional landscape of advanced prostate cancer

  Study EGAS00001005954