12346 results for "cancer rna-seq"

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• Engineered cartilage: deriving design principles from human developmental: RNA (2025-07-30)

  Engineered cartilage: deriving design principles from human developmental pathways . This dataset contains all the data available for this study on 2025-07-30.

  Dataset EGAD00001015664

• Enrichment of homologous recombination repair alteration in prostate cancer brain metastases

  Whole-exome sequencing profiling of prostate cancer brain metastases

  Study EGAS00001005091

• Reading about genomic analysis of pan-neuroblastoma

  There are virtually no research fields that do not benefit from the large-scale genomic analysis that are so popular nowadays. For research into diseases with highly diverse clinical behavior like pediatric neuroblastoma, nevertheless, this type of approach has been a game-changer. Samuel W. Brady and colleagues, from St. Jude Children’s Research Hospital in Memphis, have gathered data from 702 neuroblastomas which were profiled by whole genome sequencing (WGS, n = 205), whole exome sequencing (WES, n = 539), and/or RNA-Seq. Less than half of the samples were generated during this study, while the others were obtained from previous work. Part of the WES data was indeed deposited in EGA in 2012 (EGA study EGAS00001000213). A scratchy summary about the huge work from Samuel W. Brady and colleagues, published in Nature Communications this October 2020 “These findings suggest that the sympathetic nervous system, the tissue from which neuroblastoma arises, is susceptible to different oncogenic insults at different times during development, which could be explored in future investigations using animal models.” Conclude the authors, highlighting the importance of their findings. Pediatric neuroblastomas are classified according to clinical and molecular features into low, intermediate, and high risk. Age plays a critical role in the classification, with younger children having an overall better prognosis. The samples included in this study belonged to all ages and risk-groups: the aim of such set up is the identification of age-associated molecular aberrations. The authors defined a mutational landscape of pediatric neuroblastoma including rare driver events, impossible to pick with a smaller data set. Interestingly, most driver mutations' frequency was found to be age-related. Those include alterations on MYCN, TERT, PTPRD, and Ras pathway, in addition to the previously reported ATRX. In addition, the large data set allowed the authors to define co-existence relations between the mutations (mutual exclusion or co-occurrence) which is a crucial puzzle piece to unravel the mechanisms driving the pathogenesis. Enjoy this really interesting article, open source on Pubmed.

  Blog genomic-analysis-of-pan-neuroblastoma

• atrial appendage RNA-seq in non-, paroxysmal and persistent atrial fibrillation

  Understanding the interconnectedness of structural remodelling processes atrial fibrillation (AF) in patients could identify targets for future therapies. These data include transcriptome sequencing of atrial tissues of patients without AF, with paroxysmal AF and persistent AF (total n=64). In AF patients, epicardial cell gene expression decreased, contrasting with an upregulation of epithelial to mesenchymal transition (EMT) and mesenchymal cell gene expression. Immunohistochemistry demonstrated thickening of the epicardium and an increased proportion of (myo)fibroblast-like cells in the myocardium, supporting enhanced EMT in AF. We furthermore report an upregulation of endothelial cell proliferation, angiogenesis and endothelial signalling. EMT and endothelial cell proliferation concurred with increased interstitial (myo)fibroblast-like cells and extracellular matrix gene expression including enhanced tenascin-c, thrombospondins, biglycan and versican. Morphological analysis discovered increased and redistributed glycosaminoglycans and collagens in the atria of AF patients. Signalling pathways, including cell-matrix interactions, PI3K-AKT and Notch signalling, that could regulate mesenchymal cell activation, were upregulated. These dynamic processes may provide targets to prevent or reverse structural remodelling.

  Study EGAS00001005295

• RNA-seq of M-CSF differentiated human peripheral monocyte-derived macrophages (MDMs) - Validation macIDR

  Macrophages represent multifunctional leukocytes defined by their stimulus-specific transcriptional reprogramming. As in vivo macrophages are often difficult to obtain, in vitro macrophage models are often used. We aggregated public expression data to define consensus expression profiles for eight commonly-used in vitro macrophage models and built the classifier macIDR, capable of distinguishing macrophage subsets with high accuracy (>0.95). Classification of in vivo macrophages suggested that alveolar macrophages resembled interleukin-10 activated macrophages in general whereas chronic obstructive pulmonary disease patients displayed decreased similarity to interferon-γ stimulated macrophages. Adipose tissue-derived macrophages were classified as unstimulated macrophages, but would resemble LPS-stimulated macrophages more in diabetic-obese patients. Rheumatoid arthritic synovial macrophages were similar to macrophages stimulated with interleukin-10 or interferon-γ. Altogether, our results suggest that macIDR is capable of identifying in vitro macrophages. By projecting in vivo macrophages onto the in vitro macrophages, we were capable of elucidating macrophage-specific changes as a result of tissue and disease.

  Study EGAS00001003451

• Dual targeting of polyamine synthesis and uptake in diffuse intrinsic pontine gliomas

  Bulk RNA-seq data of tumour data.

  Dataset EGAD00001006794

• Breast Cancer Risk Pathways

  We sought to identify genomic variants that differed between individuals who developed familial breast cancer and individuals who had a family history of breast cancer but who had not developed breast cancer. We aggregated these data at the pathway level to identify pathways that play a role in familial breast cancer development. We profiled peripheral blood cells, extracted DNA, and sequenced the DNA using exome-capture sequencing to identify genomic variants in these samples. For 34 of the 35 samples, we also profiled peripheral blood using Affymetrix Human Exon 1.0 ST Array microarrays. Those data can be found in Gene Expression Omnibus under accession identifier GSE47862.

  Study phs001044

• Whole Exome Sequencing of Colorectal Cancer Patients from the Nurses' Health Study (NHS) and Health Professionals Follow-up Study (HPFS)

  Colorectal cancer is a molecularly heterogeneous disease. Whole Exome Sequencing from patients diagnosed with colorectal cancer in the NHS and HPFS cohorts will extend our understanding of the genetic changes occurring in specific clinical contexts in the disease. This effort has the potential to discover novel recurrently mutated genes and pathways in colorectal cancer that can be functionally validated and give further insights to colorectal cancer pathogenesis. All exome sequencing was performed at the Broad Institute of Harvard and MIT; samples sequence capture was performed using Agilent SureSelect Human All Exon Kit v2 and sequencing was performed on an Illumina HiSeq 2000.

  Study phs000722

• Development of molecular targeted therapy for small cell lung cancer by comprehensive genome analysis

  Aims: Identifying new therapeutic targets of small cell lung cancer (SCLC), genome-wide mutation analysis has been performed. Methods: Genomic DNA was extracted from formalin-fixed or methanol-fixed tissue samples. 71 Mb of DNA fragments containing whole coding exons were concentrated using SureSelect Human All Exon V4+UTRs Kit (Agilent Technologies) followed by 100-bp paired end sequencing by HiSeq 2000 (Illumina). Participants/Materials: 51 of 1042 cases of pathologically diagnosed small seen lung cancer that were registered to National Cancer Hospital East Lung Cancer Database in 1992-2012, and which surgically resected or biopsy samples were suitable for DNA extraction for further analyses.

  Study JGAS000037

• cell-free DNA Target sequencing from primary and recurrent/metastatic breast cancer patients

  Breast cancer is one of the most common cancers occurring worldwide in women. Even after curative treatment based on clinical subtypes according to molecular features, the risk of relapse still remains. Cell-free DNA (cfDNA) is an emerging tool for clinical cancer detection to monitor the risk of recurrence, therapeutic efficacy and tumor progression. In occurrence of relapse, genomic, transcriptomic and epigenetic profiles are altered, and reflected in cfDNA fragmentation patterns. In this study, we focus on the transcriptionally dynamic loci associated with therapy resistance in breast cancer, and develop the target sequencing approach using cfDNAs to detect individuals with recurrent/metastatic breast cancer.

  Study JGAS000812