Search Results - EGA European Genome-Phenome Archive

Illumina HiSeqX and HiSeq 2000 whole genome sequence data on 3,001 ALS samples including 212 with known C9orf72 repeat expansions

Whole genome sequence (WGS) data was generated on 3,001 samples previously quantified for the presence of the C9orf72 repeat expansion (212 expanded and 2,789 wild type), These samples were sequenced using a combination of 2x100bp reads on an Illumina HiSeq2000 and 2x150bp reads on an Illumina HiSeqX sequencer. The repeat expansions were called using ExpansionHunter to demonstrate the ability to call large repeats from high throughput, WGS data. Provided here are all read pairs where at least one of the reads aligns within 1kb of the C9orf72 repeat expansion in addition to reads aligned in pre-determined off target locations where the aligners are known to mis-align reads.

Study EGAS00001002598

Whole exome sequencing of a representative cohort of AML

The Genomic DNA Clean & Concentrator kit (ZYMO Research) was used to remove EDTA from the DNA samples. Sample libraries were prepared using 100 ng of input according to the KAPA HyperPlus Kit (Roche) using Unique Dual Index adapters (Integrated DNA Technologies, Inc.). Exomes were captured using the SeqCap EZ MedExome (Roche Nimblegen) according to SeqCap EZ HyperCap Library v1.0 Guide (Roche) with the xGen Universal blockers – TS Mix (Integrated DNA Technologies, Inc.). The amplified captured sample libraries were paired-end sequenced (2x100 bp) on the Novaseq 6000 platform (Illumina) and aligned to the hg19 reference genome using the Burrows-Wheeler Aligner (BWA)3, v0.7.15-r1140.

Dataset EGAD00001007580

MorphoITH: A Framework for Deconvolving Intra-Tumor Heterogeneity Using Tissue Morphology

This study introduces MorphoITH, a framework for deconvolving intra-tumor heterogeneity (ITH) in clear cell renal cell carcinoma (ccRCC) based on tissue morphology from histopathological slides. The study tested MorphoITH's ability to capture different aspects of morphology and to reflect genetic ITH. The data deposited here is derived from a morphology guided multi-regional sequencing dataset used to study the relationship between morphology and genetic evolution. This dataset consists of whole exome sequencing of tumor from multiple sites and adjacent normal samples which were collected from two patients treated in affiliated hospitals of the University of Texas Southwestern Medical Center (UTSW), including Parkland Hospital.

Study EGAS50000001064

Development, maturation and maintenance of human prostate inferred from somatic mutations

Stem cells within prostate epithelium frequently undergo malignant transformation, but there is limited information on their clonal dynamics and mutation burden in healthy human prostates. We sequenced whole genomes from 409 microdissections of prostate epithelium across 8 donors, using phylogenetic reconstruction with spatial mapping in a 59-year-old man’s prostate to provide high-resolution reconstruction of tissue dynamics across the lifespan. Somatic mutation burden increases linearly with age, at ~16 mutations/year/clone, and is higher in peripheral than peri-urethral regions. The 24-30 independent glandular subunits are established as rudimentary ductal structures during fetal development by 5-10 embryonic cells each. Puberty induces formation of further side branches and terminal acini by local stem cells disseminated through the rudimentary ducts during development. During adult tissue maintenance, clonal expansions are small, with limited geographic scope and minimal migration. Driver mutations are rare in normal ageing prostate epithelium, but the one canonical driver we did observe generated a sizable intraepithelial clonal expansion. By resolving unbiased, continuously occurring lineage-marking mutations, we define stem cell dynamics through embryogenesis, puberty and ageing, with relevance for prostate cancer.

Dataset EGAD00001006591

Molecular Subtyping Reveals Immune Alterations Associated with Progression of Bronchial Premalignant Lesions

Exposure to cigarette smoke creates a field of injury throughout the entire respiratory tract inducing genomic alterations that lead to an "at-risk" airway where lung cancers develop. Lung squamous cell carcinoma (SCC) arises in the epithelial layer of the bronchial airways and is often preceded by the development of premalignant lesions (PMLs). Effective tools to identify and treat premalignant lesions at highest risk of progression to invasive carcinoma are not available. Endobronchial biopsies and brushings were obtained from high-risk subjects undergoing lung cancer screening at approximately 1-year intervals by white light and auto-fluorescence bronchoscopy and computed tomography at the Roswell Park Cancer Institute in Buffalo, NY. Subjects were selected that had biopsies collected in repeat locations via serial bronchoscopies. mRNA sequencing was performed on a discovery cohort (DC) of samples comprising endobronchial biopsies and brushes collected between 2010 and 2012 (n=30 subjects, n=197 biopsies, and n=91 brushings). mRNA sequencing was subsequently performed on a validation cohort (VC) of samples comprising endobronchial biopsies and brushes collected between 2010 and 2015 (n=20 subjects, n=111 biopsies, and n=49 brushings). Data analysis identified four distinct molecular subtypes (Proliferative, Inflammatory, Secretory, and Normal) in the bronchial biopsies that correspond to a spectrum of biological and morphological alterations. The Proliferative subtype was enriched with dysplastic PMLs from current smokers that exhibit up-regulation of metabolic and cell cycle pathways and down-regulation of cilium-associated processes. Molecular subtype classification in the validation cohort biopsies replicated these significant clinical and biological associations. Airway brushes from normal fluorescing areas of the large airway classified as the Proliferative subtype specifically predict the presence of biopsies of this same subtype. Within the Proliferative subtype, genes associated with interferon signaling and antigen processing and presentation were observed to be down-regulated among dysplastic biopsies that persist or progress in the future. Innate and adaptive immune cells were computationally predicted to be depleted in these biopsies and this was confirmed via immunofluorescence staining of adjacent biopsies. These findings provide a proof of concept that molecular biomarkers of endobronchial biopsies can enhance histopathological grading and that immunoprevention strategies are an important future direction in intercepting the progression of PMLs to lung cancer.FASTQ files from the RNA sequencing of these biopsies and brushings will be available via dbGaP.

Study phs003185

UAMS Smoldering Myeloma Myeloma Sequencing

Identifying high risk smoldering myeloma patients and progression mechanism is a prerequisite to implement effective inception strategies and curve myeloma related morbidity and mortality. We hypothesize that genomics may help identify determinants of progression that may help predict outcome and offer effective chemo preventive targets. Eighty-two patients underwent a custom targeted panel sequencing with an additional capture for the translocation loci. These results were compared to 223 newly diagnosed patients (EGAS00001003223 and EGAD00001004117) and 17 MGUS and 10 early myeloma patients. DNA was obtained from either CD138+ cells from the bone marrow of multiple myeloma patients (tumor) or from stem cell harvests or peripheral blood cells from the same patient (control). 100 ng of DNA was fragmented, end-repaired, and adapters ligated using the HyperPlus kit (KAPA Biosystems). After PCR amplification the libraries were hybridized with probes against either a targeted panel consisting of 140 genes and chromosomal regions (Nimblegen) using SeqCap reagents (Nimblegen). Hybridized libraries underwent further amplification before being sequenced on a NextSeq500 (Illumina) using 75 bp paired end reads. Overall, these data highlight the importance of dysregulation of the MAPK pathway in the progression to MM.

Study EGAS00001003629

15 Healthy controls, 25 conlonrectal cancer patients without liver metastasis and 24 conlonrectal cancer patients with liver metastasis (target capture)

Dataset EGAD00001009838

Tumor-derived exosomes modulate PD-L1 expression in monocytes

Small RNA expression profiles of the blood plasma-derived exosomes from B-cell chronic lymphocytic leukemia patients

Dataset EGAD00001003230

SCLC study Peifer et al. - RNAseq dataset

SCLC - RNA sequencing data Publication Peifer et al., 2012, Nature Genetics

Dataset EGAD00001001431

Large Cancer Fingerprint Screening for Detection of Minimal Residual Disease.

We describe an approach for large cancer fingerprint screening and its application to cell-free DNA from patients with cancer. Our approach involves tracking somatic mutations identified from patients' tumor biopsies, in the cell-free DNA from a blood draw.

Study phs001977

exploration of biomarkers in colorectal cancer

Targeted therapies based on the molecular and histological features of cancer types are becoming standard practice. To understand the molecular basis of colorectal cancer, we performed CAGE (Cap Analysis of Gene Expression) to quantify promoter activities on 45 colorectal cancers.

Study JGAS000489

Genome and transcriptome sequence data from a sigmoid cancer and an ampullary cancer patient

Genome and transcriptome sequence data from a sigmoid cancer and an ampullary cancer patient, generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

Dataset EGAD00001003046

Project for Development of Innovative Research on Cancer Therapeutics;Shuttle system between petient-derived xenograft and ex vivo culture for innovative platform of evaluating drug sensitivity.

We developed CTOS (cancer tissue-originated spheroid) panel covering diversity among patients for colorectal cancer, lung cancer and cervical small cell carcinoma. We then carried out exome sequence analysis of tumor tissues, cell lines and CTOS derived from patients to validate qualitative changes in preparation, culture, cell line, transplantation and passage of CTOS pathologically, biochemically, molecular biologically.

Study JGAS000089

Whole-genome sequencing identifies ADGRG6 enhancer mutations and FRS2 duplications as angiogenesis-related drivers in bladder cancer

Bladder cancer is one of the most common and highly vascularized cancers. To better understand its genomic structure and underlying etiology, we conducted whole-genome sequencing in 65 urothelial bladder carcinomas (the most common type of bladder cancer) and identified recurrent genetic alterations in a set of angiogenesis genes, facilitating the understanding of molecular mechanisms underlying pathological angiogenesis in this type of cancer.

Study EGAS00001003388

Cancer Genomics, ICR, summary data

DAC for summary level data from the Cancer Genomics group, Division of Genetics and Epidemiology at the Institute of Cancer Research, Sutton, UK.

Dac EGAC50000000050

GIST_SSGXVIII_trial_targeted_gene_sequencing

Targeted cancer gene sequencing of samples enrolled in the SSGXVIII trial from Finland.

Study EGAS00001001054

The_genetic_evolution_of_precursor_lesions_in_pancreatic_cancer

Mapping genetic evolution of pancreatic cancer precursor lesions such as IPMNs and PanINs.

Study EGAS00001001573

IACS treatment on breast cancer bone metastases

Off-target effect of IACS on breast cancer bone metastases.

Study EGAS00001006908

CHIC_TPO3_2023

Human engineered CRC organoids (APC KO; KRAS G12D; TP53 KO) were grown in glucose, lactate or with DCA. Samples were collected 7 hours after the treatments and processed for bulk CHIC-seq.

Dataset EGAD50000000090

NICHE - DNA-seq of MMR proficient early stage colon cancers

The dataset includes 152 FASTQ files from paired-end WXS sequencing on Illumina HiSeq2500 or Novaseq 6000 for 31 pMMR patients. This includes 31 tumor DNA and 31 blood germline samples.

Dataset EGAD50000001247

Single-Cell RNA-Sequencing Analysis of Responses to Pembrolizumab in Sezary Syndrome

This phase 2 single arm clinical trial assessed the efficacy of pembrolizumab in patients with previously treated mycosis fungoides or Sezary syndrome. Pembrolizumab was found to have a 38% overall response rate, and a 27% overall response rate in subjects with Sezary syndrome. We performed single-cell RNA-sequencing on samples collected before the first treatment and after 3 weeks of pembrolizumab treatment. Sequencing was performed on cryopreserved peripheral blood T-lymphocytes isolated from 6 trial participants, including 3 patients who responded to pembrolizumab treatment and 3 patients who did not respond. A total of 118,961 peripheral blood T-cells are included in this data set.

Study phs002933

Long-read single-cell RNA sequencing uncovers cell-type specific transcript regulation in COVID-19

SARS-CoV-2 infection leads to extensive host transcriptomic changes, but the role of alternative splicing in shaping the immune response remains underexplored. Here, we present the first application of long-read single-cell RNA sequencing on nasopharyngeal swabs from COVID-19 patients and healthy controls to resolve transcript-level changes across cell types. Leveraging the strengths of long-read sequencing, we characterize alterations in both gene and isoform expression within cell populations of the upper respiratory tract—the primary site of SARS-CoV-2 entry. This approach provides new insights into how transcriptional regulation and splicing shape host immune responses to viral infection.

Study EGAS50000001290

Integrative single-cell and cell-free plasma RNA transcriptomics elucidates placental cellular dynamics

The human placenta is a dynamic and cellular heterogeneous organ, which is critical in fetomaternal homeostasis and the development of preeclampsia. Previous work has shown that placenta-derived cell-free RNA increases during pregnancy. We applied large-scale microfluidic single-cell transcriptomic technology to comprehensively characterize cellular heterogeneity of the human placentas and identified multiple placental cell-type–specific gene signatures. Analysis of the cellular signature expression in maternal plasma enabled noninvasive delineation of the cellular dynamics of the placenta during pregnancy and the elucidation of extravillous trophoblastic dysfunction in early preeclampsia.

Study EGAS00001002449

Uncovering tumor intrinsic and extrinsic factors that regulate hepatocellular carcinoma growth using patient derived xenograft assays

Dac EGAC00001001387

EGAD00010000654

Control samples using SNP 6.0 Arrays

Dataset EGAD00010000654

EGAD00010000656

Case samples using SNP 6.0 Array

Dataset EGAD00010000656

EGAD00010000500

Case samples using U133 Plus 2.0 Array

Dataset EGAD00010000500

EGAD00010000504

Control samples using SNP Array 6.0

Dataset EGAD00010000504

iOmics_gene_expression_data

iOmics gene expression data using Expression Array

Dataset EGAD00010001307

CNAPs

Copy Number profiles measured using Affymetrix SNP Array 6.0

Dataset EGAD00010002544

GSA_2020_hg38

Genopyting of 65 individuals using the Illumina Global Screening Array-24 v2

Dataset EGAD00010002706

GSA_2023_hg19

Genopyting of 45 individuals using the Illumina Global Screening Array-24 v3

Dataset EGAD00010002707

GSA_2022_hg19

Genopyting of 45 individuals using the Illumina Global Screening Array-24 v3

Dataset EGAD00010002705

20200819_EGA_Qld_Melanoma.biomarkers

A study looking at Germline and Somatic biomarkers using WES data only

Dataset EGAD00001006374

DNA methylation using EPIC array in UK population study

See www.understandingsociety.ac.uk

Study EGAS00001002836

Caregiving as a Natural Stressor in Studies of the Role of Genes That Affect Serotonin Function in Regulating Risk Factors for Coronary Heart Disease (CAREGIVER)

The burden of caregiving for an ill relative has been shown to interact with existing comorbidities to increase risk of several health outcomes including metabolic syndrome and blood pressure reactivity. The CAREGIVER study was developed to compare cardiometabolic risk factors in caregivers and controls. These risk factors include physiologic measures, psychologic measures, neighborhood characteristics, and genetic and genomic factors. DNA and plasma were collected and used for examination of cardiometabolic and stress biomarkers, genotyping and methylation analysis.

Study phs001747

Study of pediatric hepatocellular carcinoma caused by bile salt export pump deficiency

Hepatocellular carcinoma (HCC) is almost invariably associated with an underlying inflammatory state, whose direct contribution to the acquisition of critical genomic changes is unclear. We mapped the acquired genomic alterations in human and mouse HCCs induced by defects in hepatocyte biliary transporters, which expose hepatocytes to bile salts and cause the onset of chronic inflammation that develops into cancer. In both human and mouse cancer genomes we found few somatic point mutations with no impairment of cancer genes, but instead massive gene amplification and rearrangements. This genomic landscape differs greatly from that of virus- and alcohol-associated liver cancer. Copy number gains preferentially occurred at late stages of cancer development and frequently targeted the MAPK signaling pathway, and in particular direct regulators of JNK. The pharmacological inhibition of JNK retarded cancer progression in the mouse. Our study demonstrates that intrahepatic cholestasis leading to hepatocyte exposure to bile acids and inflammation promotes cancer through genomic modifications that can be clearly distinguished from those determined by other etiological factors.

Study EGAS00001000749

This study explored and validated the clinical application of targeted NGS of circulating tumor DNA in identifying tumor-specific mutations and uncovering clinical actionable targets in a variety of solid tumors in large patient cohorts.

Cancer is a disease of genetic alterations. Comprehensive genetic diagnosis is needed to match each patient to appropriate cancer therapy. However, acquisition of representative tumor samples is invasive and often infeasible. Circulating tumor DNA (ctDNA) is a promising non-invasive biomarker for cancer mutational profiling. Here we implemented targeted next generation sequencing (NGS) with a customized pan-cancer gene panel on 605 clinical ctDNA samples in multiple cancer types. Overall, tumor-specific mutations were identified in 87% of ctDNA samples, with mutation spectra highly concordant with their matched tumor tissues. 71% of patients have at least one clinical actionable mutation with 76% of which have suggested drugs approved or in clinical trials. In particular, our study reveals a unique mutation spectrum in Chinese lung cancer patients, which could be used to guide treatment decision and monitor the appearance of drug-resistant mutations. Taken together, our study demonstrated the clinical utility of target NGS-based ctDNA mutational profiling to guide cancer treatment decision.

Study EGAS00001002251

SARS-CoV-2 induced alterations of the upper airway DNA methylome exert long-term impacts on ciliary genes involved in ciliary function

Enzymatic DNA methylome (n=33) and single-cell RNA (n=24) sequencing were performed in nasal cells of COVID-19 patients and controls. In addition, we re-sampled a subset of patients for transcriptome analyses at 3 and 12 months post-infection and followed the expression of differentially regulated genes over time.

Study EGAS50000000273

Whole blood transcriptomics analysis in Antiphospholipid syndrome in patients with Systemic Lupus Erythematosus

We analyzed whole-blood RNA-sequencing data from 299 SLE patients (108 SLE-aPL-positive, including 67 SLE-APS; 191 SLE-aPL-negative) and 72 matched healthy controls (HC). Pathway enrichment analysis, unsupervised WGCNA analysis and machine learning were applied to distinguish disease endotypes. Deconvolution analysis was performed to characterize the peripheral blood immune cell profile.

Study EGAS00001007750

Investigating transcriptional changes in rapidly differentiated iPSC-derived neurons (i3Ns) harbouring the SNCA A53T mutation +/- RSL3

In this study we performed bulk RNA sequencing of a iPSC-derived rapid neuronal model harbouring the Parkinson's disease associated A53T mutation in SNCA. These neurons were subsequently treated with a low dose of RSL3 (300nM) for 6 hours to establish the transcriptional impact of ferroptosis induction in the presence or absence of SNCA A53T mutation.

Study EGAS50000001536

CLUSTER consortium RNAseq CD19 B cell dataset of UK JIA patients.

This study examines B cell transcriptomic profiles in Juvenile Idiopathic Arthritis (JIA) patients to investigate molecular mechanisms underlying disease heterogeneity. CD19+ B cells were isolated from peripheral blood samples and subjected to RNA sequencing to characterise gene expression patterns. The dataset includes patients with documented uveitis status to enable investigation of B cell contributions to the common JIA comorbidity.

Study EGAS50000001123

Single cell RNA sequencing data in "Three-dimensional human alveolar stem cell culture models reveal infection response to SARS-CoV-2"

This dataset includes a total of 5 single cell RNA sequencing (scRNAseq) data of SARS-CoV-2 infected human alveolar stem cell culture models. Two scRNAseq data were obtained from SARS-CoV-2 infection with MOI of 1.0 (1 for control and 1 for infected case) and the other three were obtained from SARS-CoV-2 infection with MOI of 0.1 in the study entitled "Three-dimensional human alveolar stem cell culture models reveal infection response to SARS-CoV-2". The 10x Chromium Single Cell 3' Reagent kits were used to generate libraries.

Dataset EGAD00001006242

Transcriptomic profiling of RIRCD patient skeletal muscle, comparing muscle during affected phase to healthy control, and affected patient with and without additional EARS2 mutations.

Illumina Nextseq total RNA sequencing profiles of skeletal muscle biopsies of 5 affected patients (F3/2M, F4/1F, F5/1M, F2/2F, F2/1M) compared to 6 control (Control040500, Control3509, Control3934, Control3949, Control4994, Control5106) and comparing 3 patients with additional EARS2 mutations (F2/2F, F2/1M, F5/1M) to 2 patients without (F3/2M, F4/1F). Illumina MiSeq total RNA sequencing profiles of skeletal muscle biopsies from patient F3/1M during affected disease phase (4 replicates: F3-1M_Affected_1, F3-1M_Affected_2, F3-1M_Affected_3, F3-1M_Affected_4) compared to recovered phase (F3-1M_Recovered_1, F3-1M_Recovered_2, F3-1M_Recovered_3, F3-1M_Recovered_4).

Dataset EGAD00001006381

Whole-genome and transcriptome sequencing of primary cutaneous CD8+ aggressive epidermotropic cytotoxic T-cell lymphoma

Primary cutaneous CD8+ aggressive epidermotropic cytotoxic T-cell lymphoma (pcAECyTCL) is a rare variant of cutaneous T-cell lymphoma with an aggressive clinical course and a very poor prognosis. We subjected tumor biopsies from patients with pcAECyTCL to whole-genome sequencing and RNA-sequencing to investigate genomic alterations and deregulated gene expression in the disease.

Study EGAS00001004332

Defective homologous recombination in HCC

Backgrounds and Aims: We performed an in-depth examination of pathogenic germline (PGVs) and somatic variants in DNA damage response (DDR) genes in hepatocellular carcinoma (HCC) to explore their clinical and genomic impacts. Approach and Results: We used a merged whole exome or RNA sequencing dataset derived from in-house (n=230) and TCGA (n=362) databases of multiethnic HCC samples.

Study EGAS00001006599

Molecular profiling of MBD4-deficient acute myeloid leukaemia

We describe two cases of MBD4-deficient acute myeloid leukaemia (AML). Clinical samples were used for molecular analysis, including genomic profiling (genome and exomes), methylation analysis (RRBS) and transcriptional profiling (RNA-sequencing). An analysis and methodological description has been published: “MBD4 guards against methylation damage and germline deficiency predisposes to clonal hematopoiesis and early-onset AML” [PMID: 30049810]

Study EGAS00001002581

Transcriptome sequencing of myelodysplasia

Transcriptome sequencing was performed on 214 patients with myelodysplasia in this study. RNA was obtained from bone marrow CD34+ cells (n=100) and/or bone marrow mononuclear cells (n=165). Transcriptome sequencing was performed for both cell fractions in 51 patients. We also studied bone marrow CD34+ cells and bone marrow mononuclear cells obtained from three healthy adults each.

Study EGAS00001002346

Transcriptomic analysis of TFEB overexpression in LT-HSC, ST-HSC and MEP

Long-term hematopoietic stem cells (LT-HSC), Short-term hematopietic stem cells (ST-HSC) and Megakaryocyte-erythrocyte progenitors (MEP) were sorted from human cord blood and cultured overnight before transduction with lentivirus to overexpress GP91 (CTRL) or TFEB. Three (LT-HSC ans ST-HSC) or six (MEP) days later, BFP+ transduced cells were sorted for RNA extraction and sequencing.

Study EGAS00001004969

Bone marrow derived stromal cells from Myelodysplastic Syndromes

In this study we performed exome sequencing of bone marrow derived, in-vitro expanded mesenchymal stromal cells from patients with Myelodysplastic Syndromes in order to assess clonal mutations in the non hematopoietic compartment. We used bone marrow mononuclear cells as germline controls. Validation was carried out with amplicon based resequencing. Alongside we provide RNA Sequencing of MDS and healthy MSCs.

Study EGAS00001005051

Whole genome and RNA-sequencing in T-cell acute lymphoblastic leukemia

Dataset includes whole genome and transcriptomic sequencing data from five T-cell acute lymphoblastic leukemia (T-ALL) patients. Whole genome sequencing has performed from both diagnostic (T-ALL sample) and control (remission sample) samples. RNA-sequencing has performed from diagnostic samples. Samples has been taken from the bone marrow or peripheral blood.

Dataset EGAD00001008658

RNA-Seq of PBMC's from rUTI Patients and Healthy Controls

Recurrent urinary tract infections (rUTIs) are a major health burden worldwide, with history of infection being a significant risk factor. While the gut is a known reservoir for uropathogenic bacteria, the role of the microbiota in rUTI remains unclear. We conducted a year-long study of women with and without history of rUTIs, from whom we collected urine, blood and monthly fecal samples for multi-omic interrogation. The rUTI gut microbiome was significantly depleted in microbial richness and butyrate-producing bacteria compared to controls, reminiscent of other inflammatory conditions, though Escherichia coli gut and bladder dynamics were comparable between cohorts. Blood samples revealed signals of differential systemic immunity, leading us to hypothesize that rUTI susceptibility is in part mediated through a syndrome involving the gut-bladder axis, comprising gut dysbiosis and differential immune response to bacterial bladder colonization, manifesting in symptoms. This work highlights the potential for microbiome therapeutics to prevent and treat rUTIs.  (Reprinted from medrxiv.org ) 

Study phs002728

Rna-Seq Leiomyosarcoma subtypes

Leiomyosarcomas (LMS) are genetically heterogeneous tumors differentiating along smooth muscle lines. Currently, LMS treatment is not informed by molecular subtyping and is associated with highly variable survival. While disease site continues to dictate clinical management, the contribution of genetic factors to LMS subtype, origins, and timing are unknown. Here we analyzed 70 genomes and 130 transcriptomes of LMS, including multiple tumor regions and paired metastases. Molecular profiling highlighted the extremely early origins of LMS. Three specific subtypes of LMS develop from distinct lineages of smooth muscle cells. Of these, dedifferentiated LMS with high immune infiltration and tumors primarily of gynaecological origin acquired the highest burden of genomic mutation and are associated with worse survival. Homologous recombination defects lead to genome-wide mutational signatures, and a corresponding sensitivity to PARP and other DNA damage response inhibitors, suggesting a novel therapeutic strategy for LMS. Finally, by phylogenetic reconstruction, we present evidence that clones seeding lethal metastases arise decades prior to LMS diagnosis.

Study EGAS00001004783

RNA-seq from human embryonic tissues (additional samples 2018)

How the genome activates or silences transcriptional programmes governs organ formation. Little is known about this in human post-implantation embryos undermining our ability to benchmark the fidelity of in vitro stem cell differentiation or cell programming, or interpret noncoding variation as potential causes of disease. Here, by studying histone modification we identified genome-wide open chromatin states and active repression across thirteen tissues during human organogenesis. We integrated the data with transcription to build the first view of how promoter states from nearly 20,000 genes differentially regulate alternative organ fates, arguing against bivalency during human organogenesis. The data illustrate tissue-specific as well as complex patterns of enhancer activity functional in zebrafish and impute master transcription factors. Overlaying 739 noncoding de novo mutations in patients allowed phenotypic correlation of developmental disorders to unanticipated target genes. Taken together, the data provide a comprehensive genomic framework for understanding normal and abnormal human development.

Study EGAS00001003738

Single-cell RNA-seq and spatial transcriptomics data for the sarcoidosis baseline project

Granulomas are lumps of immune cells that can form in various organs. Most granulomas appear unstructured, yet they have some resemblance to lymphoid organ formation. To better understand granuloma formation, we performed single-cell sequencing and spatial transcriptomics on granulomas from patients with sarcoidosis and bioinformatically reconstructed the underlying gene-regulatory networks. We discovered an immune stimulatory environment in granulomas that repurposed transcriptional programs associated with lymphoid organ development. Granuloma formation followed characteristic spatial patterns and involved genes linked to immunometabolism, cytokine and chemokine signaling, and extracellular matrix remodeling. Three cell types emerged as key players in granuloma formation: metabolically reprogrammed macrophages, cytokine-producing Th17.1 cells, and fibroblasts with inflammatory and tissue remodeling phenotypes. Pharmacological inhibition of one of the identified processes attenuated granuloma formation in a sarcoidosis mouse model. We show that human granulomas adopt characteristic aspects of normal lymphoid organ development in aberrant combinations, indicating that granulomas constitute aberrant lymphoid organs.

Study EGAS00001006970

Repeated Sampling experiment

Repeated Sampling Experiment containing 135 fastq files of RNA sequencing. These represent time series of different organ areas sampled during autopsies.

Dataset EGAD50000000330

RCRF release 2

RNA sequencing of a Chromophobe renal cell carcinoma, Non-clear cell chromophobe renal cell carcinoma, Neuroendocrine PDAC and clear cell sarcoma

Dataset EGAD50000000872

Single cell sequencing of mild and critical COVID19 PBMC

Single-cell RNA sequencing of 13 ‘mild-moderate’ and 10 ‘critical’ COVID19 PBMC samples

Dataset EGAD00001006997

Single Nuclei RNA sequencing batch 1

This dataset includes the first 9 PTC samples and 6 ATC samples profiled on the same sequencing flowcell.

Dataset EGAD00001011366

RNAseq_Pulldown_

We propose to definitively characterise the somatic genetics of ER+ve, HER2-ve breast cancer through generation of comprehensive catalogues of somatic mutations in breast cancer cases by high coverage genome sequencing coupled with integrated transcriptomic and methylation analyses. In this experiment cDNA derived form Breast Cancer Cell lines was used in an Agilent whole exome pulldown experiment.

Study EGAS00001000230

Genetic Epidemiology of Ovarian Cancer Histotypes

Epithelial ovarian cancer is a highly fatal malignancy with known genetic etiology; however, it is estimated that a substantial portion of narrow sense heritability remains to be discovered. The goal of this research was to use genetic information from distantly related ovarian cancer cases to identify regions of the genome that may harbor rare risk variants for epithelial ovarian cancer. The study was conducted in the setting of the Utah Population Database, a statewide data resource in which extensive ancestry data are linked to Utah Cancer Registry records. Focusing on families with a statistically significant excess risk of epithelial ovarian cancer, we used the Infinium Global Screening Array v.3.0 to generate germline genotyping data for distantly related cases. We then applied Shared Genomic Segment Analysis to each set of related cases to identify genomic regions that may harbor ovarian cancer risk variants. Eleven regions were identified. Genotype data are available through dbGaP for one case from each pedigree. Genotype data from other ovarian cancer cases within the high-risk pedigrees as well as the pedigrees' corresponding structures can be requested and made available with approval from the Utah Resource for Genetic and Epidemiologic Research (RGE).

Study phs003140

Orphan_Tumour_Study_NB_sNuc_WGS

The aim of this study is to investigate the genomic landscape of human cancer.

Study EGAS00001006837

Enrichment of homologous recombination repair alteration in prostate cancer brain metastases

Whole-exome sequencing profiling of prostate cancer brain metastases

Study EGAS00001005091

INVADE cohort

Cohort of bulk RNAseq data from DCIS, invasive and microinvasive breast cancer at diagnosis. This dataset covers 18 DCIS cases, 17 microinvasive and 20 primary invasive breast cancer.

Study EGAS50000000219

DAC for "Cancer-associated fibroblasts promote drug resistance in ALK-driven lung adenocarcinoma cells by upregulating lipid biosynthesis"

DAC for the data of "Cancer-associated fibroblasts promote drug resistance in ALK-driven lung adenocarcinoma cells by upregulating lipid biosynthesis" with: • Holger Sültmann • h.sueltmann@dkfz.de • German Cancer Research Center (DKFZ) • Ann-Kathrin Daum • a.daum@dkfz.de • German Cancer Research Center (DKFZ)

Dac EGAC50000000076

14977 results for "cancer studies using rna-seq"

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