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• Effect of inflammation on human hematopoietic stem cells in a xenograft model

  Transcriptional heterogeneity in cord blood HSCs was investigated by 10X single-cell Multiome (RNA+ATAC). To investigate the effect of inflammatory stress on human HSC, 10X single-cell Multiome profiling of cells from xenografted mice recovered from repeated inflammatory challenge was performed. To investigate transmission of inflammatory stress-related molecular programs from HSC to their progeny, 10X single-cell RNA sequencing was performed on committed progenitor and myeloid cells from the same mice.

  Study EGAS50000001624

• Genomic landscape of aplastic anemia

  This study investigates the genomic landscape of aplastic anemia using complementary sequencing approaches. Single-cell DNA and protein profiling were performed using the Mission Bio Tapestri platform to characterize clonal structure and immunophenotypic features. Long-read whole-genome sequencing (PacBio) and single-cell whole-genome sequencing (BioSkryb) were also generated to capture structural variants and genome-wide clonal architecture. Together, these datasets aim to elucidate mutational processes and clonal evolution underlying aplastic anemia.

  Study EGAS50000001516

• Bulk_sequencing_study_for_human_male_germline

  This study aims to understand the gene expression changes in male reproductive tissues during spermatogenesis using integrated multi-omics analysis. Different populations from testis biopsies, including spermatogonia stem cells, primary spermatocytes, secondary spermatocytes, spermatids and mature sperms, were sorted based on the DNA content. In addition to the G&T sequencing results for single cells, we sorted bulk samples for those populations for Nanoseq to detect the mutations at low error rate.

  Study EGAS00001005990

• PTEN homozygous deletion is a negative prognostic factor in Tumor Treating Fields-treated glioblastoma, IDH wildtype patients

  This study investigates genomic determinants of outcome in glioblastoma, IDH-wildtype patients treated with Tumor Treating Fields (TTFields) in addition to standard radiochemotherapy. Tumor tissue from primary glioblastoma at initial diagnosis was profiled using the Illumina TruSight Oncology 500 (TSO500) targeted sequencing panel to characterise somatic alterations. The overarching goal is to provide exploration of genomic determinants of survival and treatment response in TTFields-treated glioblastoma, IDH-wildtype.

  Study EGAS50000001469

• Comprehensive miRNA Sequence Analysis Reveals Survival Differences in Diffuse Large B-cell Lymphoma Patients

  Diffuse large B-cell lymphoma (DLBCL) is an aggressive disease, with 30-40% of patients failing to achieve complete responses to standard therapy. miRNAs are RNA molecules that attenuate expression of their mRNA targets. To characterize the DLBCL miRNome, we sequenced miRNAs from 92 DLBCL and 15 benign centroblast fresh frozen samples and from 140 DLBCL formalin-fixed, paraffin-embedded tissue (FFPET) samples for validation.

  Study EGAS00001001025

• MutWP5__CRUK_Mutographs_of_Cancer__Breast__BRCA_Carriers__Exome_

  Sequencing of LCM-derived microbiopsies from 20 women who underwent risk-reducing reduction mastectomies due to germline BRCA1/2. Goal to assess the mutational burden, spectrum, and clonal dynamics within the tissue. Exome data will be used as a driver and clonality screen, highly clonal or driver-containing samples will subsequently be sent for whole-genome sequencing. Results from this portion of the study will be compared to women who had cosmetic breast reduction surgeries and those with cancer.

  Study EGAS00001003316

• Sequencing of heritable Bleeding and Platelet Disorders

  The BRIDGE-BPD study aims to discover new causal genes for Bleeding and Platelet Disorders (BPD) by high throughput sequencing using cluster analyses based on improved and standardized deep phenotyping of cases. BPD is one of the 13 Rare Disease projects under the NIHR BioResource Rare Diseases BRIDGE consortium, which is a collaboration aiming to discover the genetic sequence variants underlying unresolved inherited disorders and to improve identification of already identified high penetrance variants.

  Study EGAS00001001172

• TRACERx 100: RNAseq data from the first 100 TRACERx tumours

  TRACERx (TRAcking Cancer Evolution through therapy (Rx)) is a prospective cohort study designed to investigate intratumor heterogeneity (ITH) in relation to clinical outcome, and to determine the clonal nature of driver events and evolutionary processes in early stage non-small cell lung cancer (NSCLC). This study looks at the multi-region RNAseq data from the TRACERx100 cohort with high enough quality RNA available. There is RNAseq data from 164 regions (64 patients).

  Study EGAS00001003458

• Mutational_Signatures_of_relapse_in_rectal_cancer_FFPE_samples_in_the_CR07_clinical_trial

  The CRO7 clinical trial recruited patients with clinically operable rectal adenocarcinoma. Patients were randomized to either pre-operative short course surgery followed by chemo-radiotherapy only in those patients at high risk of local relapse. Patients in both arms the received standard %-FU based adjuvant chemotherapy as per local policy. We intend to use FFPE derived DNA from the primary tumours to identify patterns of mutations or copy number alterations that are predictive of local or distant relapse.

  Study EGAS00001000651

• cis-eQTL mapping of human pancreatic islets

  The intersection of genome-wide association analyses with physiological and functional data indicates that variants regulating islet gene transcription influence type 2 diabetes predisposition and glucose homeostasis. However, the specific genes through which these regulatory variants act remain poorly characterized. In this study, we generated eQTL data from human islet samples to establish the extent to which this allowed us to identify candidate effector transcripts at GWAS loci for T2D and glycemic traits.

  Study EGAS00001001265

• MutWP5__CRUK_Mutographs_of_Cancer__Breast__Cancer_Mastectomy__Targeted_

  Sequencing of LCM-derived microbiopsies from 30 women who mastectomies due to Breast Cancer. Goal to assess the mutational burden, spectrum, and clonal dynamics within the tissue. Targeted data will be used as a driver and clonality screen, highly clonal or driver-containing samples will subsequently be sent for whole-genome sequencing. Results from this portion of the study will be compared to women who had cosmetic breast reduction surgeries and those with germline BRCA 1/2 mutations.

  Study EGAS00001003318

• Myelodysplastic_Syndrome_Follow_Up_Series

  Agilent whole exome hybridisation capture was performed on genomic DNA derived from MDS and matched normal DNA from the same patients. Next Generation sequencing performed on the resulting exome libraries and mapped to build 37 of the human reference genome to facilitate the identification of novel cancer genes. Now we aim to discover the prevalence of our findings using bespoke pulldown methods and sequencing the products from a larger set of patient DNA.

  Study EGAS00001000224

• Correlative Genomic Analysis of Durvalumab plus Pazopanib Combination in Patients with Advanced Soft Tissue Sarcomas

  We conducted an open-label, phase 2 study to determine the activity of the anti-VEGF receptor tyrosine-kinase inhibitor, pazopanib, combined with the anti-PD-L1 immune checkpoint inhibitor, durvalumab, in unselected advanced sarcomas. In addition, we conducted whole exome and transcriptomic sequencing with pre-treatment tissue biopsy to correlate clinical outcomes with molecular and genomic biomarkers to identify patients who would most likely benefit from the combination treatment.

  Study EGAS50000000082

• 1__Fanconi_Anemia_transformation_to_AML

  Genomic libraries (500 bps) will be generated from total genomic DNA derived from 7 Fanconi anemia (FA) derived Acute myeloid leukemia samples and subjected to total of two lanes of 50 bp, paired end sequencing on the llumina HiSeq. Paired reads will be mapped to build 37 of the human reference genome to facilitate the generation of genome wide copy number information, and the identification of novel rearranged cancer genes and gene fusions.

  Study EGAS00001000033

• Himalayan_population_genetic_study

  We genotyped 770 individuals belonging to 49 populations from Nepal, Bhutan, North India or Tibet at over 500,000 SNPs genomewide to investigate the demographic history of the region and the genetic adaptations to the harsh environment. This data is part of a pre-publication release. For information on the proper use of pre-publication data shared by the Wellcome Trust Sanger Institute (including details of any publication moratoria), please see http://www.sanger.ac.uk/datasharing/

  Study EGAS00001002731

• Single cell and spatial transcriptomics of adult human adrenal glands

  Adrenal glands are endocrine organs secreting a variety of hormones, known to undergo tissue remodelling through constant cellular turnover. Here we employed single cell and spatial transcriptomics to investigate thoroughly adult human adrenals from 14 individuals with a focus on adrenocortical cell types and cell states. By including both male and female tissue donors of various ages, we extended the study to sexual dimorphic features of the adult gland.

  Study EGAS50000000269

• DNA methylation database for gynecological cancer detection, classification and assay development

  DNA methylation changes are associated with cancer the best predictor of the presence of cancer. In order to detect and classify gynecological cancer, we performed MeD-seq to generate DNA methylation profiles of vulvar, cervical, endometrial, fallopian tube and ovarian cancers and their associated healthy tissues. DNA methylation profiles were used to find general cancer, regional cancer and specific cancer biomarkers that can be used for cancer detection, classification and treatment monitoring.

  Study EGAS50000000417

• Genomic Profile of Multiple Localised Spiradenoma and Spiradenocarcinoma

  Multiple spiradenomas and spiradenocarcinoma from a single donor were subjected to exome sequencing. Tumor samples were microdissected from formalin-fixed, paraffin-embedded tissue, and genomic DNA was extracted. The DNA samples were subjected to library generation using the xGen ssDNA & Low-Input DNA Library Preparation Kit, followed by exome capture using the xGen Exome Research Panel v2. The libraries were sequenced on DNBSEQ G400RS. Reads were aligned to GRCh37 with BWA.

  Study EGAS50000000554

• WGS and WES of pediatric osteosarcoma

  Despite being the most common childhood bone tumor, the genomic characterization of osteosarcoma remains incomplete. Very few metastatic cases have been sequenced to date, a required step to better understand the progression and evolution of this tumor. Here, we present an integrative analysis of whole genome and whole exome sequencing (WGS and WES) of a cohort of primary and metastatic pediatric osteosarcoma, in order to identify recurrent genomic alterations between and within patients.

  Study EGAS00001003342

• Genomic profiling of fragile X syndrome unmethylated full mutation carriers

  Whole genome sequencing of two unrelated FMR1 unmethylated full mutation carriers. The existence of rare, unmethylated full mutation carriers who carry the mutation that causes fragile X syndrome but do not gain methylation at the locus offers a rare opportunity to study the mechanisms underlying fragile X syndrome. This study aims to investigate the genomic variants in these individuals alongside transcriptomic data to elucidate underlying genomic variants behind transcriptomic differences observed in UFM individuals.

  Study EGAS50000000648

• ESGI_Exome_sequencing_in_Circulating_Tumor_Cells_to_determine_therapy_related_markers_____

  The objectives of this project are the identification of markers related to cancer therapy resistance in the blood of breast cancer patients and to study the genetic changes in cancer cells during this development of resistance. Whole genome amplified DNA from Circulating Tumor Cells (CTCs), selected during the course of systemic treatment from blood of metastatic breast cancer patients, will be exome sequenced . The patients selected for this study did not respond to therapy.

  Study EGAS00001000747

• Stratton__WGS___RCC___Japan

  The Stratton team uses DNA sequencing for somatic mutations to advance understanding of the causes of cancer. In particular, the investigation of “mutational signatures”, which report the mutational processes operative over the lifetime of each individual, to understand whether they are generated by endogenous or exogenous exposures and the extent to which these vary between human populations. Our work brings together global cancer epidemiology and genomics and is particularly characterised by large-scale multinational studies.

  Study EGAS00001008001

• EuroTARGET is a European study on mRCC, collecting clinical data, germline DNA, and tumor samples.

  For patients with metastatic renal cell cancer (mRCC), treatment choice is mainly based on clinical parameters. With many treatments available and the limited response to treatment and associated toxicities, there is much interest in identifying better biomarkers for personalized treatment. EuroTARGET aims to identify and characterize host- and tumor-related biomarkers for prediction of response to tyrosine kinase inhibitor therapy in mRCC. Here, we describe the EuroTARGET mRCC patient cohort.

  Study EGAS50000000798

• Whole genome sequencing of ASD quartet families

  Autism spectrum disorder (ASD) is genetically heterogeneous with >100 susceptibility genes known. We used whole-genome sequencing (WGS) of 85 quartet families (two parents and two ASD-affected siblings) to comprehensively examine mutation characteristics. Our results emphasize using WGS to maximize the detection of all classes of mutations potentially involved in autism, and to enable the interpretation of that data in confirmatory and predictive diagnosis in different individuals in a family.

  Study EGAS00001001023

• Immunogenomic landscape of hematological malignancies

  We integrated over 8,000 transcriptomes and over 2,000 samples with multilevel genomic data of hematological cancers to investigate how immunological features are linked to cancer subtypes, genetic and epigenetic alterations, and patient survival. For more detailed follow-up analyses in acute myeloid leukemia (AML), single-cell RNA sequencing was performed on 8 AML bone marrow samples at diagnosis to profile the phenotypes of blasts and infiltrating immune cells in different disease subtypes.

  Study EGAS00001004444