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• The Genomic Landscape of Core-Binding Factor Acute Myeloid Leukemias

  Pediatric de novo acute myeloid leukemia (AML) is a heterogeneous disease that can be divided into clinically distinct subtypes based on the presence of specific chromosomal abnormalities or gene alterations. One of the best characterized subtypes of AML involves leukemias with alterations of the core-binding factor (CBF)-complex, which comprises the FAB subtypes M2 and M4Eo and associates with a favorable outcome. Patients with the AML M2 subtype harbor a translocation between chromosomes 8 and 21 [t(8;21)] that yields the chimeric fusion gene RUNX1(AML1)-RUNX1T1(ETO), while patients with AML M4Eo express the chimeric fusion gene CBFβ-SMMHC(MYH11) as a result of an inversion/translocation event of chromosome 16 [inv(16)/t(16;16)]. In an effort to define the total complement of genetic changes in CBF-leukemia, we performed paired-end whole genome sequencing (WGS) on diagnostic leukemia blasts and matched germ line samples from 17 pediatric CBF-leukemia patients using the Illumina platform. Somatic alterations, including single nucleotide variations (SNVs) and structural variations (SVs), including insertions, deletions, inversions, and inter- and intra-chromosomal rearrangements, were detected using complementary analysis pipelines (Bambino, CREST and CONSERTING). Recurrent screening of identified mutations will be performed in a cohort of approximately 94 cases of CBF-leukemias.

  Study EGAS00001000349

• Whole-exome and targeted sequencing of pediatric hyperdiploid B-cell precursor acute lymphoblastic leukemia

  High hyperdiploidy defines the largest genetic entity of childhood acute lymphoblastic leukemia (ALL). Despite its relatively low recurrence risk, this subgroup generates a high proportion of relapses. The cause and origin of these relapses remains obscure. We therefore explored the mutational landscape in high hyperdiploid (HD) ALL with whole-exome (n=19) and subsequent targeted deep sequencing of 60 genes in 100 relapsing and 51 non-relapsing cases. We identified multiple clones at diagnosis that were primarily defined by a variety of mutations in receptor tyrosine kinase (RTK)/Ras pathway and chromatin-modifying genes. The relapse clones consisted of reappearing as well as new mutations, and overall contained more mutations. Although RTK/Ras pathway mutations were similarly frequent between diagnosis and relapse, both intergenic and intragenic heterogeneity was essentially lost at relapse. CREBBP mutations, however, increased from initially 18-30% at relapse, then commonly co-occurred with KRAS mutations (P<0.001) and these relapses appeared primarily early (P=0.012). Our results confirm the exceptional susceptibility of HD ALL to RTK/Ras pathway and CREBBP mutations, but, more importantly, suggest that mutant KRAS and CREBBP might cooperate and equip cells with the necessary capacity to evolve into a relapse-generating clone.

  Study EGAS00001001113

• Whole genome, whole exome, and targeted sequencing of high-grade meningioma tumor samples.

  High-grade meningiomas frequently recur and are associated with high rates of morbidity and mortality. To determine the factors that promote the development and evolution of these tumors, we analyzed the genomes of 274 high-grade meningiomas and compared this information with data from 456 low-grade meningiomas. High-grade meningiomas had a higher mutation burden than low-grade meningiomas but did not harbor any statistically significant mutated genes aside from NF2. High-grade meningiomas also possessed significantly elevated rates of chromosomal gains and losses, especially among tumors with monosomy 22. Meningiomas previously treated with adjuvant radiation had significantly more copy number alterations than radiation-induced or radiation-naïve meningiomas. Across serial recurrences, genomic disruption preceded the emergence of nearly all mutations, remained largely uniform across time, and when present in low-grade meningiomas, correlated with subsequent progression to a higher grade. In contrast to the largely stable copy number alterations, mutations were strikingly heterogeneous across tumor recurrences, likely due to extensive geographic heterogeneity in the primary tumor. While high-grade meningiomas harbored significantly fewer overtly targetable alterations than low-grade meningiomas, they contained numerous mutations that are predicted to be neoantigens, suggesting that immunologic targeting may be of therapeutic value.

  Study EGAS00001002294

• Reconstituting the transcriptome and DNA methylome landscapes of human implantation at single-cell resolution

  Implantation is a milestone event during mammalian embryogenesis. Due to the extreme difficulty of obtaining in vivo human early post-implantation embryos, the gene regulatory network and epigenetics controlling human embryo implantation remains elusive. Here, combining an in vitro culture system for human post-implantation development and single-cell omics sequencing technologies, over 10,000 single cells at five representative stages of pre/post-implantation development were systematically analyzed. Unsupervised dimensionality reduction and clustering algorithm of the transcriptome data show stepwise implantation routes for the epiblast, primitive endoderm, and trophectoderm lineages, suggesting preparation for the establishment of a mother-to-offspring connection after implantation. Female embryos showed asynchronous progress of dosage loss of X chromosomes during implantation. Furthermore, using the single cell trio-Seq (scTrio-Seq) strategy, re-methylation of the genomes of all the three lineages was unambiguously revealed. Surprisingly, the genome re-methylation of PE lineage were much slower than both EPI and TE lineages during the implantation process, indicating distinct methylome features between EPI and PE although both of which were derived from ICM. Collectively, our work paves the way for understanding the complex molecular mechanisms that regulate human embryo implantation, informing new insights and future efforts in early embryonic development and reproductive medicine.

  Study EGAS00001003443

• Ethiopia_Genome_Project__low_coverage_

  The Ethiopian area stands among the most ancient ones ever occupied by human populations and their ancestors. Particularly, according to archaeological evidences, it is possible to trace back the presence of Hominids up to at least 3 million years ago. Furthermore, the present day human populations show a great cultural, linguistic and historic diversity which makes them essential candidate to investigate a considerable part of the African variability. Following the typing of 300 Ethiopian samples on Illumina Omni 1M (see Human Variability in Ethiopia project, previously approved by the Genotyping committee) we now have a clearer idea on which populations living in the area include the most of the diversity.This project therefore aims to sequence the whole genome of 300 individuals at low (4-8x) depth belonging to the six most representative populations of the Ethiopian area to produce a unique catalogue of variants peculiar of the North East Africa. Furthermore 6 samples (one from each population) will also be sequenced at high (30x) depth to ensure full coverage of the diversity spectrum.The retrieved variants will be of great help in evaluating the demographic dynamics of those populations as well as shedding light on the migrations out of Africa.

  Study EGAS00001000238

• Large-scale viral genome analysis identifies novel clinical associations between hepatitis B virus and chronically infected patients

  Despite the high global prevalence of chronic hepatitis B (CHB) infection, datasets covering the whole hepatitis B viral genome from large patient cohorts are lacking, greatly limiting our understanding of the viral genetic factors involved in this deadly disease. We performed deep sequencing of viral samples from patients chronically infected with HBV to investigate the association between viral genome variation and patients’ clinical characteristics. We discovered novel viral variants strongly associated with viral load and HBeAg status. Patients with viral variants C1817T and A1838G had viral loads nearly three orders of magnitude lower than patients without those variants. These patients consequently experienced earlier viral suppression while on treatment. Furthermore, we identified novel variants that either independently or in combination with precore mutation G1896A were associated with the transition from HBeAg positive to negative phase of infection. These observations are consistent with the hypothesis that mutation of the HBeAg open reading frame is an important factor driving CHB patient’s HBeAg status. This analysis provides a detailed picture of HBV genetic variation in the largest patient cohort to date and highlights the diversity of plausible molecular mechanisms through which viral variation affects clinical phenotype.

  Study EGAS00001003689

• The Prediction and Prevention of Preeclampsia

  The Prediction and Prevention of Preeclampsia (PREDO) is a prospective birth cohort study of Finnish women who were pregnant between 2005 and 2010 and their children. The PREDO study cohort was set up to identify novel risk factors and biomarkers in pregnant women associated with the development of preeclampsia and intrauterine growth restriction (IUGR). Two groups of pregnant women were enrolled during the first trimester of their pregnancy: first, pregnant women with a known clinical risk factor status for preeclampsia and IUGR (N=1079; 969 of these women had at least one and 110 had none of the known risk factors for preeclampsia and IUGR), and second, pregnant women who volunteered to participate regardless of their risk factor status for preeclampsia and IUGR (N=3698). Both samples were monitored during pregnancy with four clinical visits and bi-weekly self-reports. The post-delivery follow-up has taken place at approximately 2 weeks, 6 months, and 3.5 years after the delivery. The most recent follow-up started in 2016 and is ongoing. In the high-risk sample, cord blood samples were collected and genome-wide genotyping has been conducted with Illumina OmniExpressExome 1.2 and genome-wide methylation status has been analysed with Illumina 450k HM array.

  Study EGAS00001001898

• The_Genomic_Advances_in_Sepsis__GAinS__RNA_seq

  Sepsis is defined as life-threatening organ dysfunction caused by a dysregulated host response to infection. This cohort comprises a subset of patients enrolled in the Genomic Advances in Sepsis (GAinS) study, an established biobank of adult sepsis patients. Patients with sepsis due to community acquired pneumonia or faecal peritonitis were recruited from 34 hospitals across the UK from 2005-2018, with samples for functional genomics and detailed clinical information collected on the first, third and/or fifth day following ICU admission. RNA was extracted from leukocytes isolated at the bedside using LeukoLOCK kits. We have previously identified sepsis response signatures (SRSs), transcriptomic endotypes that are associated with differential early mortality (Davenport et al, Lancet Respir Med, 2016; Burnham et al, AJRCCM, 2017) and response to treatment in a clinical trial (Antcliffe et al, AJRCCM, 2018). We generated RNA sequencing data on 903 samples, including 134 samples repeated from our previously released microarray data. Libraries were prepared using NEB Ultra II Library Prep kits (Illumina) and sequenced on a NovaSeq 6000. Reads were aligned to the reference genome (GRCh38) using STAR and gene counts quantified using featureCounts (annotation Ensembl v99). Counts were TMM-normalised and log-transformed. Following QC, processed data were available on 864 samples from 667 unique patients.

  Study EGAS00001003772

• Atypical teratoid/rhabdoid tumoroids reveal subgroup-specific drug vulnerabilities WGS

  Atypical teratoid/rhabdoid tumors (ATRTs) represent a rare, but aggressive pediatric brain tumor entity. They are genetically uniquely defined by alterations in the SWI/SNF chromatin remodeling complex members SMARCB1 or SMARCA4. ATRTs can be further classified in different molecular subgroups based on their epigenetic profiles. Although recent studies suggest that the different subgroups have distinct clinical features, subgroup-specific treatment regimens have not been developed thus far. This is hampered by the lack of pre-clinical in vitro models representative of the different molecular subgroups. Here, we describe the establishment of ATRT tumoroid models from the ATRT-MYC and ATRT-SHH subgroups. We demonstrate that ATRT tumoroids retain subgroup-specific epigenetic and gene expression profiles. High throughput drug screens on our ATRT tumoroids revealed distinct drug sensitivities between and within ATRT-MYC and ATRT-SHH subgroups. Whereas ATRT-MYC universally displayed high sensitivity to multi-targeted tyrosine kinase inhibitors, ATRT-SHH showed a more heterogeneous response with a subset showing high sensitivity to Notch inhibitors, which corresponded to high expression of Notch receptors. Our ATRT tumoroids represent the first pediatric brain tumor organoid model, providing a representative pre-clinical model which enables the development of subgroup-specific therapies.

  Study EGAS00001006865

• Atypical teratoid/rhabdoid tumoroids reveal subgroup-specific drug vulnerabilities RNA-Seq

  Atypical teratoid/rhabdoid tumors (ATRTs) represent a rare, but aggressive pediatric brain tumor entity. They are genetically uniquely defined by alterations in the SWI/SNF chromatin remodeling complex members SMARCB1 or SMARCA4. ATRTs can be further classified in different molecular subgroups based on their epigenetic profiles. Although recent studies suggest that the different subgroups have distinct clinical features, subgroup-specific treatment regimens have not been developed thus far. This is hampered by the lack of pre-clinical in vitro models representative of the different molecular subgroups. Here, we describe the establishment of ATRT tumoroid models from the ATRT-MYC and ATRT-SHH subgroups. We demonstrate that ATRT tumoroids retain subgroup-specific epigenetic and gene expression profiles. High throughput drug screens on our ATRT tumoroids revealed distinct drug sensitivities between and within ATRT-MYC and ATRT-SHH subgroups. Whereas ATRT-MYC universally displayed high sensitivity to multi-targeted tyrosine kinase inhibitors, ATRT-SHH showed a more heterogeneous response with a subset showing high sensitivity to Notch inhibitors, which corresponded to high expression of Notch receptors. Our ATRT tumoroids represent the first pediatric brain tumor organoid model, providing a representative pre-clinical model which enables the development of subgroup-specific therapies.

  Study EGAS00001006866

• Atypical teratoid/rhabdoid tumoroids reveal subgroup-specific drug vulnerabilities DNA-Methylation

  Atypical teratoid/rhabdoid tumors (ATRTs) represent a rare, but aggressive pediatric brain tumor entity. They are genetically uniquely defined by alterations in the SWI/SNF chromatin remodeling complex members SMARCB1 or SMARCA4. ATRTs can be further classified in different molecular subgroups based on their epigenetic profiles. Although recent studies suggest that the different subgroups have distinct clinical features, subgroup-specific treatment regimens have not been developed thus far. This is hampered by the lack of pre-clinical in vitro models representative of the different molecular subgroups. Here, we describe the establishment of ATRT tumoroid models from the ATRT-MYC and ATRT-SHH subgroups. We demonstrate that ATRT tumoroids retain subgroup-specific epigenetic and gene expression profiles. High throughput drug screens on our ATRT tumoroids revealed distinct drug sensitivities between and within ATRT-MYC and ATRT-SHH subgroups. Whereas ATRT-MYC universally displayed high sensitivity to multi-targeted tyrosine kinase inhibitors, ATRT-SHH showed a more heterogeneous response with a subset showing high sensitivity to Notch inhibitors, which corresponded to high expression of Notch receptors. Our ATRT tumoroids represent the first pediatric brain tumor organoid model, providing a representative pre-clinical model which enables the development of subgroup-specific therapies.

  Study EGAS00001006881

• Detection of cancers three years prior to diagnosis using plasma cell-free DNA

  A major goal of early cancer detection is to identify subclinical disease when the tumor burden is low, so that treatments are more effective. But how early can cancers be detected prior to clinical signs or symptoms? This question can be answered only through the evaluation of participants whose clinical course has not been altered by the study itself. We here describe such an evaluation, performed on prospectively collected plasma samples from the Atherosclerosis Risk in Communities (ARIC) study, including 26 participants diagnosed with cancer and 26 matched controls. At the index time point, eight of these 52 participants scored positively with a multicancer early detection (MCED) blood test. All eight of these participants were diagnosed with cancer within 4 months after blood collection. In six of these 8 participants, we were able to assess an earlier plasma sample collected 3.1 to 3.5 years prior to clinical diagnosis. In four of these six participants, the same mutations detected by the MCED test could be identified, but at 8.6 to 79-fold lower levels. These results demonstrate that it is possible to detect circulating tumor DNA (ctDNA) more than three years prior to clinical diagnosis, and provide benchmark sensitivities required for the success of ctDNA-based tests for this purpose.

  Study EGAS00001008068

• NEI CIDR Methylation Profiling of Primary Open Angle Glaucoma in NEIGHBOR Samples

  This is a case-control study of Primary Open Angle Glaucoma (POAG). POAG is a progressive optic neuropathy that eventually leads to blindness. More than 30 million people worldwide have Primary Open Angle Glaucoma (POAG), of which greater than 3 million are blind. Gene expression changes in the retina have been observed for POAG. Several recent studies, including the NEIGHBOR consortium (NEI Glaucoma Human genetic collaboration) have used GWAS to identify correlative regions of the genome. Despite this, the genetic basis of Glaucoma is not well understood. Epigenetic variation may account for low heritability and environmental effects on human disease. Despite the significant advances being made in understanding the role of epigenetics in gene regulation in other fields, little is known about the relationship between DNA methylation patterns, retinal gene expression, and retinal disease. The goal of this study is to identify differentially methylated regions in the peripheral blood of patients with POAG. The case identification is as per the NEIGHBOR description: Cases and controls were recruited from ophthalmology clinics and were examined by ophthalmologists. For cases the clinical exam included intraocular pressure measurements, optic nerve assessment and visual field evaluation. Controls had no family history of glaucoma, normal intraocular pressure and normal optic nerves. POAG and control samples come from two sources: Duke University and Massachusetts Eye and Ear Infirmary (MEEI). These samples were collected and genotyped as part of the NEIGHBOR study. From the 219 POAG cases contributed to NEIGHBOR by Duke, 75 samples were selected for exome sequencing by Dr. Terry Gaasterland (UCSD) as part of an ARRA grant. These samples were selected to mirror the distribution of the entire set of Duke patients for variables such as age, cup-to-disc ratio, CCT, and IOP. From these 75 patients, 43 were selected for our study and an additional seven patients chosen at random, for a total 50 patients from Duke. From the 219 Duke controls, 50 were selected to match the age (at the time of blood draw) and sex of the 50 Duke POAG patients. From the NEIGHBOR control samples from MEEI, 27 were selected who best matched the age (at blood draw), time since sample collection and sex of the POAG probands from GLAUGEN. Additional individual-level phenotype and genotype data may be obtained through the authorized access portal of phs000238 (Neighbor - Glaucoma GWAS Study).

  Study phs000458

• SC_DDD-G-5

  Post-QC (pre-imputation) genotype data for N=2,166, a subset of trios described in EGAD00010001602. These data form N=722 complete trios in which the proband has a neurodevelopmental phenotype (Niemi et al. Nature 2018). Includes HPO phenotype terms for patients. Samples were genotyped on the Illumina HumanOmniExpress BeadChip

  Dataset EGAD00010001606

• MassArray1-80

  234 samples genotyped at 40 loci using the MassArrayiPLEX genotyping assay using the iPLEX Gold genotyping kit (Agena Biosciences, cat. 10148-2) Gabriel et al. (2009) [Gabriel, S. , Ziaugra, L. and Tabbaa, D. (2009), SNP Genotyping Using the Sequenom MassARRAY iPLEX Platform. Current Protocols in Human Genetics, 60: 2.12.1-2.12.18. doi:10.1002/0471142905.hg0212s60]). Products were detected on a MassArray mass spectrophotometer and data were acquired in real time with MassArray RT software 4.0.0.2 (Agena Biosciences). SNP clustering and validation was carried out with Typer 4.0.26.75 software (Agena Biosciences).

  Dataset EGAD00010001906

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

  This study includes 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. 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.

  Dataset EGAD50000000114

• Clones derived from early passage tumoroids of colorectal cancer

  We obtained different clones from early passage CRC tumoroids to study mutational signatures specific for truncal or private somatic alterations. These whole genome sequences are part of a larger study on the heterogeneity and evolution of DNA mutation rates in microsatellite-stable colorectal cancer.

  Study EGAS50000000107

• Heterogeneity and evolution of DNA mutation rates in microsatellite stable colorectal cancer. Higher mutation rates (MR) in metastatic tumours

  Building on the observation that MR appears to be a unique and inheritable feature of each cancer cell, we explored whether MR is subject to selective pressure during cancer progression. These data suggest that a higher MR is selected during CRC metastatic progression.

  Study EGAS50000000147

• Whole exome sequencing of preneoplasia lung adenocarcinoma

  Multi-region exome sequencing of 271 pulmonary nodules and matched adjacent lung tissue including lung preneoplasia atypical adenomatous hyperplasia (AAH, N=49), adenocarcinoma in situ (AIS, N=42), minimally invasive adenocarcinoma (MIA, N=37), invasive lung adenocarcinoma (ADC, N=57) and adjacent lung tissues (Normal, N=88).

  Study EGAS50000000270

• Whole Genome Sequencing of Two Family Trios with 22q.11.2 Deletion Syndrome

  Two subjects with 22q11.2 deletion syndromes (22q11DS) and their parents were recruited for a whole genome sequencing study to identify candidate genetic modifiers of the various phenotypes seen in 22q11DS. Both probands had a typical 3 megabase deletion on chromosome 22q11.2 but discordant phenotypes.

  Study phs000837

• National Heart, Lung, and Blood Institute (NHLBI) Bench to Bassinet Program: The Pediatric Cardiac Genetics Consortium (PCGC)

  Multi-center, prospective observational cohort study of individuals with congenital heart defects (CHD). Phenotypic data and source DNA derived from 10,000 probands, parents, and families of interest are being collected to investigate relationships between genetic factors and phenotypic and clinical outcomes in patients with CHD.

  Study phs000571

• Development of Precision Neoadjuvant-Adjuvant Therapies

  In clinical trials assessing neoadjuvant androgen deprivation therapy plus next-generation androgen receptor axis inhibitors, a subset of patients fail to demonstrate a complete pathologic response following treatment and radical prostatectomy. We performed exome and transcriptome analyses on laser capture microdissected foci of residual tumor from these patients.

  Study phs001399

• Understanding the Biology of Language Impairment through Whole Genome Sequencing

  This study involves the whole genome sequencing of a cohort of 390 individuals assessed for language ability, IQ, and behavior as schoolchildren. The primary goal of the study is to identify genes, regulatory elements, and pathways which may underlie variation in language ability within an average population. 

  Study phs002255

• Somatic Mutational Analysis by Exome Sequencing Endometrial Carcinosarcomas

  The purpose of this study was to identify somatic (tumor-specific) mutations in endometrial carcinosarcoma tumor exomes. The dataset was generated at the NIH Intramural Sequencing Center (NISC) and NHGRI by next generation sequencing the exomes of 14 de-identified primary tumor DNAs and matched non-tumor DNAs.

  Study phs001152

• Refractory Cancer (RC) Program

  The Refractory Cancer (RC) Program will investigate the underlying genomic hallmarks involved in the observed inferior response to treatment of certain tumor types. Comprehensive genomic characterization will be performed utilizing the NCI CCG Genome Characterization Pipeline. Subsequent genomic data will be hosted at the NCI Genomic Data Commons (GDC) (https://portal.gdc.cancer.gov/).

  Study phs002097

• Common Deleterious Germline Variants Shape the Urothelial Cancer Genome

  Our study used whole-exome, whole-genome, and RNA sequencing to analyze samples from primary tumors, locally recurrent or metastatic urothelial tumors collected over time, and matched normal urothelium. We described the molecular landscape of mutational signatures and structural variants in chemotherapy-resistant urothelial cancer.

  Study phs001087

• Single-cell transcriptomics of PBMC’s from healthy, acute decompensated (AD) and acute chronic liver failure (ACLF) patients.

  This dataset contains the raw sequencing data (fastq-files) of 10 sample libraries. These are 10x genomics single-cell transcriptome libraries of human peripheral blood mononuclear cells (PBMC’s). The samples are taken from healthy, acute decompensated (AD) and acute chronic liver failure ACLF patients. The sequencing was performed on an Illumina NovaSeq6000. This data are related to the paper: "Distinct immunometabolic signatures in circulating immune cells define disease outcome in acute-on-chronic liver failure"

  Dataset EGAD50000000574

• Variables of mass cytometry (CyTOF) innate immune cell counts

  For 61 COVID-19 patients we performed a CyTOF analysis to characterize the innate immune landscape associated with disesase severity. For this study, 37 analyzed populations have been included, speccialy focused in monocyte-macrophague subpopulations. For more information, please consult DOI: 10.3389/fimmu.2022.1094644

  Study EGAS50000000588

• Non-invasive prediction of immunotherapy response (NIPIT) project

  This project aims to find transcriptomic biomarkers for immunotherapy response prediction in several cancer types. So far, we have performed poly-A RNA-seq using whloe blood and peripheral blood mononuclear cells from 33 non-small cell lung cancer patients, collected before and after the start of immunotherapy.

  Study EGAS50000000266

• RNA-Seq data from study: Molecular underpinnings of dedifferentiation and aggressiveness in chromophobe renal cell carcinoma

  The ChRCC study RNA-Seq dataset contains raw whole transcriptome sequencing data of 16 tumor and 6 adjacent normal samples from 7 UTSW patients, who have consented to depositing their genomic data to public repository. RNA-Seq was performed using 50bp single-end on a HiSeq2500 platform (Illumina, San Diego, CA, USA). 50M reads per sample on average. The raw data is in fastq format.

  Dataset EGAD50000000416

• Comprehensive genomic characterization of early stage bladder cancer - Total RNA-seq data

  This study looks at the non muscle invasive bladder cancer subtypes based on totRNAseq data of 414 bladder cancer samples collected in different European centers within the UROMOL project. All samples were sequenced using paired reads on Illumina platforms. The reads are mapped to hg38.

  Study EGAS50000000512

• 41 fibroblast RNAseq samples of pediatric patients with childhood epilepsy and developmental delay

  We used RNA sequencing of patient fibroblasts to find a genetic diagnosis in patients with exome-negative childhood epilepsy. RNA extracted from 41 individuals' cultured fibroblasts (passage 3-6) was collected and sequenced at a depth of 90-110 paired reads per sample.

  Study EGAS50000000792

• Cohort A spatial transcriptomics sequencing

  Cohort A includes glioma tumors of varied grading and pathology from male and female individuals. Fresh frozen glioma tissues for each sample in cohort A were analyzed with the 10X Genomics Visium Spatial Gene Expression protocol. Processed data is available on the NCBI Gene Expression Omnibus database with accession GSE242352.

  Study EGAS50000000954

• Cohort B spatial transcriptomics sequencing

  Cohort B includes IDH-wild type, EGFR amplified, surgically derived glioblastoma tissue samples from male and female individuals. FFPE tissues for each sample in cohort B were analyzed with the 10X Genomics Visium CytAssist protocol. Processed data is available on the NCBI Gene Expression Omnibus database with accession GSE242352.

  Study EGAS50000000956

• RNAseq data from 112 samples of benign or malignant ovarian tumours

  This dataset contains ~1.2 TB RNA sequencing data in fastq format from 112 samples of fresh-frozen ovarian tumours from a total of 111 women, two samples being replicates. The samples were collected from the U-CAN collection at Uppsala Biobank and include both benign (n = 18) and malignant (n = 94) tumours. The RNA sequencing samples were sequenced using paired-end sequencing (2x150 bp) on an Illumina NovaSeq 6000 instrument at the SciLifeLab National Genomics Infrastructure (NGI) in Uppsala.

  Dataset EGAD50000001521

• Dataset belonging to the article "Genotyping from targeted NGS data based on a small set of SNPs correctly matches patient samples"

  This dataset consists of raw sequencing data from targeted next generation sequencing of samples from patients with chronic lymphocytic leukaemia. These samples were used to validate an approach for detection of sample mislabelling and swapping in clinical cohorts using single nucleotide polymorphisms (SNPs), as described in the associated article. The data are divided into two parts - data from the initial validation experiment (discovery cohort) and data from an additional independent cohort.

  Dataset EGAD50000000757

• PBAT sequencing of naïve human ESCs

  This project investigates the DNA methylation landscape of naïve human embryonic stem cells (hESCs) derived from human embryos, assessing the impact of ERK inhibition (ERKi). Naïve ESCs were cultured in UXGL or PXGL media. Post bisulphite adaptor tagging protocol was used to profile genome-wide DNA methylation.

  Study EGAS50000001006

• Trial of Onco-Panel for Geneprofiling to Estimate both Adverse events and Response by cancer treatment (TOP-GEAR)

  Bam files and fastq files in a hospital-based prospective study (TOP-GEAR project, the 2nd stage) to investigate the feasibility and utility of NGS-based analysis of 114 cancer-associated genes (the NCC Oncopanel test). DOI: 10.1111/cas.13969

  Study JGAS000662

• RNASeq Whole Transcriptome Expression Profiles of NFE2 and PF4 as Translational Biomarkers for BET Inhibition-Induced Thrombocytopenia in Preclinical and Clinical Studies

  Longitudinal blood samples for exploratory biomarker analysis were collected from 51 out of 83 patients enrolled in CA011-001 (NCT02419417) study of BMS-986152, totaling 425 samples collected on three different dosing schedules (A, B, and C). Whole transcriptome expression profiling was performed on the collected blood samples using RNASeq, with Illumina TruSeq library preparation and paired sequencing. Gene expression data was quantified as transcripts per million (TPM).

  Dataset EGAD50000001659

• Somatic L1 retrotransposition mapping in high-grade serous ovarian carcinoma using LDI-PCR/Nanopore-sequencing (part 2)

  Somatic L1 retrotransposition was mapped in high-grade serous carcinoma (HGSC) tumors using LDI-PCR/Nanopore-seq method. This method identifies somatic L1 insertions originating from two active L1 loci at chr22q12.1 and chrXp22.2. Multiple tumors from the same patient were utilised to understand L1-mediated intrapatient heterogeneity. Long-read data generated by LDI-Nanopore sequencing was aligned to the reference genome (GRCh38). This dataset contains the remaining file of this study.

  Dataset EGAD50000001757

• Broad utility of ultrasensitive analysis of circulating tumor DNA (ctDNA) dynamics across solid tumors treated with immunotherapy

  Here, we applied a whole-genome, tumor-informed approach to study ctDNA in more than 202 advanced-stage cancer patients treated at VHIO. This study demonstrates the efficacy of ultrasensitive ctDNA as a broad biomarker in a large pan-cancer discovery and validation cohort, spanning 24 tumor types treated with diverse immunotherapy modalities. It demonstrates ctDNA’s potential for early response assessment, survival prediction, and distinguishing true progression from pseudoprogression, enhancing its clinical relevance. This dataset captures the plasma sequencing data from the project.

  Dataset EGAD50000001813

• De novo modeling of chromoplectic Ewing sarcoma tumors from patient-derived mesenchymal stem cells

  Ewing sarcoma is characterized by pathognomonic translocations fusing most frequently EWSR1 with FLI1 (EF1). In addition, Ewing sarcoma can also display alterations in STAG2, TP53 and CDKN2A (SPC). Starting from Ewing sarcoma derived human mesenchymal stem cells (MSCpat), we recapitulated this translocation and SPC alterations using a CRISPR/cas9 approach and generated a bona fide Ewing sarcoma model (EWIma1) displaying transcriptomic (RNA-seq) and epigenetic (ChIP-seq) hallmarks of EwS.

  Dataset EGAD50000001673

• SDR-seq_06_BCL

  Multiomic targeted scDNA-scRNA-seq (SDR-seq) of primary B-cell non-Hodgkin lymphomas. Aim is to link genomci variants to gene expression in single cells. Profiled two follicular lymphoma (FL) primary patient samples and one germinal center subtype diffuse large B-cell lymphoma (GCB) primary patient sample.

  Study EGAS50000000374

• Targeted gene expression analysis on FFPE specimen from NSCLC patients

  This study measured the expression of a panel of over 300 cancer immunotherapy-relavant genes in tumors after neoadjuvant chemoimmunotherapy. It was performed on RNA from FFPE tumor tissue. Differential gene expression analysis was performed between patients achieving or not achieving an event-free survival of 12 months.

  Study EGAS50000001140

• Whole exome sequencing of patients with esophageal squamous cell carcinoma receiving chemoradiotherapy

  We performed multi-region whole exome sequencing (WES) of pre-treatment and recurrent esophageal cancer receiving chemoradiotherapy in order to characterize clonal evolution of treatment resistant clones. Furthermore, additional solitary pre-treatment tumor samples were subjected to WES to detect biomarkers predicting clinical outcome.

  Study JGAS000227

• Japanese Alzheimer's disease neuroimaging initiative

  Japanese ADNI aims to establish imaging and biofluid markers that can predict and monitor the progression of changes in the brains of elderly individuals with AD, mild cognitive impairment (MCI) or normal cognition, and eventually be used as a surrogate markers for the clinical trials of DMDs for AD.

  Study JGAS000051

• Comprehensive molecular profiling of subsequent solid cancers after allogenic hematopoietic cell transplantation

  Subsequent solid cancers after allogenic hematopoietic cell transplantation may have unique genomic profiles compared with de novo cancers. In order to identify such profiles, we applied whole exome sequencing (WES) of subsequent solid cancers after allogeneic hematopoietic cell transplantation as well as de novo cancers.

  Study JGAS000377

• ATAC-seq and ChIP-seq analysis of patient-derived normal pancreas and pancreas neoplasm organoids

  Pancreatic cancers arise from two different precursors; intraductal papillary mucinous neoplasms (IPMN) and pancreatic intraepithelial neoplasm (PanIN), while biological differences in cancers originated from them remain obscure. Here, we analyzed their epigenomic landscape by ATAC-seq and ChIP-seq using patient-derived organoids.

  Study JGAS000264

• single-cell RNA sequencing and RNA sequencing of normal uterine cervix

  We designed this study to identify molecular markers of HPV18 early promoter. In this study, we developed patient-derived organoids from squamous-columular junction of normal uterine cervix and infected HPV18 into those organoids to elucidate the molecular biological characteristics of HPV18-activated cells.

  Study JGAS000640

• 16S metagenomics on NASH patients complicated with diabetes

  16S metagenomic analysis was performed on 20 NASH patients complicated with diabetes. Sum of the several Bacteroides species was smaller in the patients treated with insulin analogues than those who did not receive insulin treatment. The results were consistent with the study performed with model mice treated with insulin.

  Study JGAS000574

• RNA sequencing of BCP-LBL and EM B-ALL patients samples

  In order to perform comprehensive transcriptomics and gene fusion analyses of a cohort of BCP-LBL and extramedullary (EM) manifestations of B-ALL patients, we performed RNA sequencing of 16 tissue samples from BCP-LBL and EM B-ALL patients. Because the material was available as FFPE, and had a relative low quality, we used a capture-based approach, where NGS libraries obtained from total RNA were captured in 4-plex, using a whole exome capture panel.

  Dataset EGAD50000002047

• Enzymatic methylation sequencing of rectal mucus from patients suspected to have colorectal cancer

  This dataset contains comprises enzymatic methylation sequencing (EM-Seq) data generated from 208 rectal mucus samples from patients suspected to have colorectal cancer and healthy controls. Targeted CpG sites were enriched using a panel of genes implicated in colorectal cancer, and libraries were prepared with NEBNext EM-Seq prior to Illumina sequencing. Sequencing was performed on the Illumina NovaSeq6000 platform, producing paired-end FASTQ files. These data support analyses of DNA methylation patterns in CRC detection and progression

  Dataset EGAD50000001871

• Growth Statistics

  EGA Statistics Bibliography Growth Community Archive Distribution Catalogue In this section the growth of registered objects such as studies, datasets and DACs in the EGA. Available Study, Dataset and DAC by year. The below figure represent the distribution of available Studies, Datasets and DACs per year. Available EGA Studies, Datasets and DACs. barChart('growth-objects-released', 'https://stats.ega-archive.org/growth/objects/released', ['Number of Objects', ['DAC', 'Dataset', 'Study']]) Created Study, Dataset and DAC by year. The below figure represent the distribution of created Studies, Datasets and DACs per year. Created EGA Studies, Datasets and DAC barChart('growth-objects', 'https://stats.ega-archive.org/growth/objects', ['Number of Objects', ['DAC', 'Dataset', 'Study']])

  Documentation about/statistics/growth

• Data Access Committee for the DNA sequencing data included in the study "Multifocal cohort analysis unveils cell types associated with regional lymph node seeding in prostate cancer".

  A data transfer agreement (DTA), based on the example DTA provided by UZ Gent, is to be filled out by the requester and Multifocal RNA-seq and tNGS data from primary and metastatic tissues of locally advanced and de novo metastatic cohorts - Data Access Committee. https://www.uzgent.be/nl/over-uz-gent/organisatie/data-access-comite/wat-zijn-de-opdrachten-van-het-data-access-comite Coordinator: Muriel Fouquet E-mail: dataaccesscommittee@uzgent.be

  Dac EGAC50000000930

• Genome-wide gene expression analysis following CRISPRi of transposable elements

  human induced pluripotent stem cells constitutely expressing the CRISPRi machinery were transduced with gRNAs targeting genomic regions of transposable elements (TEs), and differentiated to neural progenitor cells. The aim of the study was to annotate the function of these TEs in the context of early neurodevelopmental processes.

  Study EGAS00001008265

• The role of MALT1 in driving IBN resistance in MCL

  The bulk RNA-seq dataset was generated for the cell lines below and used for two major purposes: 1. DEG analysis and GSEA analysis comparing IBN-R and IBN-S cells 2. DEG analysis and GSEA analysis comparing MCL cells with/without MI-2 treatment.

  Study EGAS00001006832

• Repeated_clinical_malaria_episodes_are_associated_with_modification_of_the_immune_system_in_children_

  Repeated clinical malaria episodes are associated with modification of the immune system in children.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 EGAS00001003167

• Resolving_the_Genetic_Architecture_of_Aseptic_Loosening_After_Total_Hip_Replacement

  This is a genome-wide association scan of aseptic loosening after total hip replacement in a Norwegian population. 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 please see http://www.sanger.ac.uk/datasharing/

  Study EGAS00001001883

• ESGI___Molecular_diagnosis_for_mitochondrial_disorders_

  The MITOEXME project aims to improve protocols for molecular diagnosis of patients with OXPHOS disorders with a focus on a next generation sequencing methods and to increase the knowledge of pahtophysiological mechanisms by identification of new targets and cellular studies. In this project we will sequence the exomes fo 120 patients.

  Study EGAS00001000164

• Human_primary_melanoma_project

  Mutational burden and profiles to be studied in approx. 500 human primary melanomas with matched normal samples, part of the Leeds melanoma cohort. New custom design targeted capture panel covering melanoma-specific copy number alterations, promoter mutations, gene fusions, coding genes, HLA regions and IFNg/JAK/STAT pathway genes.

  Study EGAS00001002409

• Succession Of Transiently Active Tumour-Initiating Cell Clones inHuman Pancreatic Cancer

  To elucidate whether newly acquired genetic alterations during serial transplantation of patient derived primary pancreatic cancer cultures contribute to the observed clonal dynamics in vivo, all coding genes of two patient derived primary cultures and derived genetically marked serial xenografts (1°/2°/3°) were sequenced.

  Study EGAS00001000882

• Long-read sequencing identifies a common transposition haplotype predisposing for CLCNKB deletions

  Long-read whole genome sequencing, long-read long-range PCR sequencing, targetted long fragment long-read sequencing data of the CLCNKA/CLCNKB locus in 27 Bartter syndrome patients. Multiple different deletion alleles are identified and a new common transposition haplotype predisposing for CLCNKB deletions is described.

  Study EGAS00001007339

• Comparison of HCC cell lines and primary HCCs

  There are concerns about whether cancer cell lines could faithfully represent the matched primary cancer cells. Comparison of the HCC cell lines and primary HCCs demonstrated that, during long-term in vitro culture, cell lines retain the genetic landscape of the matched primary HCCs.

  Study EGAS00001001678

• Whole genome sequencing and whole exome sequencing of DIPG tumors and matched normal tissue

  Diffuse Intrinsic Pontine Glioma (DIPG) is a fatal brain cancer that arises in the brainstem of children with no effective treatment. To understand what drives DIPGs we integrated whole-genome-sequencing with methylation, expression and copy-number profiling.

  Study EGAS00001000575

• Tetralogy of Fallot Exome Trios

  Exome sequencing of 30 parent-offspring trios to >50X mean depth, where the offspring has sporadic TOF, to identify potential causal de novo mutations. We will use the exome plus design for pulldown that incorporates ~6.8Mb of additional regulatory sequences in addition to the ~50Mb GENCODE exome.

  Study EGAS00001000071

• Family-based GWAS for CRSwNP

  AbstractOur goal was to identify genetic markers and genes associated with susceptibility to chronic rhinosinusitis with nasal polyps using a family-based genome-wide association study.MethodsPatients with CRSwNP and controls were recruited. SNP association values were generated using DFAM (implemented in PLINK) and Efficient Mixed Model Association eXpedited (EMMAX).

  Study EGAS00001002665

• V2_panel_bait_design_test

  This study comprises of three different datasets. 1) 57 samples from the 1243 canapps cell line study,2) 91 FFPE normal samples and 3) 87 samples from the SCORT WS2 dataset. The aim is to sequence these 235 samples in order to test the new V2 Colorectal bait design.

  Study EGAS00001001780

• Breast_Cancer_Somatic_Genetics_Study_

  We propose to definitively characterise the somatic genetics of ER+ve, HER2-ve breast cancer through generation of comprehensive catalogues of somatic mutations in 500 cases by high coverage genome sequencing coupled with integrated transcriptomic and methylation analyses.

  Study EGAS00001000195

• Genomic analysis of Japanese gastric cancer (345 gastric cancers of NCC)

  As a contribution to the International Cancer Genome Consortium, whole exome sequencing of 345 Japanese gastric cancer (345 gastric cancers of NCC) with various histological subtypes have been conducted. This study aims to identify unique and common driver genes and molecular subtypes in Japanese gastric cancer.

  Study EGAS00001002884

• ENGAGE___Amendment__500_genes_exon_sequencing_

  The ENGAGE project is a FP7 funded EU project aiming to combine genetic and phenotype information from European population based cohorts. In this sub-project we aim to do whole exome sequencing of individuals selected from Health 2000 and FINRISK cohorts. Individuals have been selected based on their metabolic trait phenotypes

  Study EGAS00001000137

• Profiling of Peritoneal Metastases from Gastric Adenocarcinoma Identified Molecular Subtypes

  Peritoneal carcinomatosis (PC) occurs frequently in gastric adenocarcinoma (GAC) patients and confers poor prognosis. Multiplex profiling of primary GACs has been insightful but the underpinnings of PC’s development/progression remain largely unknown. Here we characterized exome/transcriptome/immune landscapes of PC cells from 43 patients.

  Study EGAS00001003180

• DKFZ-HIPO Project H021/NCT MASTER

  Clinical genome and transcriptome sequencing in younger adults with advanced-stage cancer across all histologies: DKFZ-HIPO Project H021 (http://www.hipo-heidelberg.org/hipo2/index.php/menu-item-2/32-021-prospective-genetic-characterization-of-tumors-from-individual-patients-of-special-interest) / NCT MASTER (http://www.nct-heidelberg.de/forschung/nct-master.html)

  Study EGAS00001000948

• Highlighted samples from the BCH CRDC

  These exomes are from some of the patients and family members detailed in our forthcoming publication, Children’s Rare Disease Cohorts: an integrative research and clinical genomics initiative. While this paper details an institutional collection of exomes, the samples here were specifically highlighted as having significant findings.

  Study EGAS00001004436

• ENU_HT_29_BRAF_Triple_Therapy_Clones

  KRAS mutant CRC is currently in clinical trial with a combination of a MEK and Akt inhibitor. These patients will likely develop resistance to this combination. We aim to identify the mechanisms of resistance via ENU mutagenesis, with a view to identifying additional therapeutics which have the ability to overcome this resistance.

  Study EGAS00001001778

• Copy number and mutation profiling of Stage 1 epithelial ovarian cancer biopsies

  This project aims at characterizing the genome-wide copy number profile and the variant profile of 139 genes om the five major histotytpes of early-stage (stage I) epithelial ovarian cancer (EOC), to provide insight in the the aethiology and development of the disease.

  Study EGAS00001004961

• Whole genome and whole exome sequencing of epilaptic patients

  In this project, we aim to identify genetic changes that predispose to epilepsy and those that predict the response to various anti-epileptic drugs. We sequenced whole genomes and whole exomes of epileptic individuals with different range of response to anti-epileptic drugs, and their relatives.

  Study EGAS00001002825

• Paediatric_CNS_tumour_autopsy_DNA_WES

  Paediatric gliomas likely have their origins in embryogenesis. This WES extension to the WGS study seeks to estimate the occurrence of driver mutations within the normal tissues of patients which have developed lethal brain tumours and compare the incidence between those that have a germline predisposition and those that don't.

  Study EGAS00001005642

• Whole exome sequencing of 76 individuals with familial atrial fibrillation

  We investigated genetic background of familial and early onset atrial fibrillation (AF) with the aim of identify genes involved in atrial fibrillation pathology and are highly predisposing risk factors. We performed whole exome sequencing on 24 families where three or more family members suffered from AF.

  Study EGAS00001003207

• Single Cell MK and HSC sequencing

  In the current understanding of adult bone marrow hematopoiesis, megakaryocytes (MKs) originate from cells immuno-phenotypically indistinguishable from hematopoietic stem cells (HSCs), bypassing intermediate progenitors. Here, we use single cell RNA sequencing to characterize HSCs and MKs from human bone marrow, to investigate MK lineage commitment and maturation.

  Study EGAS00001004844

• MCO colorectal cancer genomics at UNSW

  This dataset contains DNA sequencing data from 95 colorectal cancer and matched-normal samples. The dataset contains targeted deep sequencing of selected regulatory elements in 95 cancer and matched-normal samples, and data for one sample that was additionally whole-genome sequenced (cancer and matched-normal).

  Study EGAS00001003450

• Single cell RNA-seq from AD and PS patients

  We applied single cell immune profiling to gain a holistic view from immune cells infiltrating the skin to circulating immune cells, facilitating a better understanding of the two diseases in their entirety, and the identification of potential type-2 or type-3-disease-driving mechanisms.

  Study EGAS00001007055

• Bam files from Whole exome sequencing (WES, ~50x mean read depth) of metachronous bladder tumors

  In this study we characterized genomic alterations in two to five metachronous bladder tumors from 29 patients initially diagnosed with early stage disease. Fourteen patients (32 tumors) had non progressive disease (NPD) and 15 patients (34 tumors) had progressive disease (PD). Whole exome sequencing (WES, ~50x mean read depth and whole transcriptome RNA-seq was performed (RNA was not advalible for 4 tumors) Data provided here consist of 122 Bam files for WES (83 Tumors and 39 blood)

  Dataset EGAD00001002716

• Translation of non-canonical open reading frames as a cancer cell survival mechanism in childhood medulloblastoma - RNA-Seq

  This study aims to investigate the dysregulation of RNA translation and identify functional non-canonical open reading frames (ORFs) as potential targets for medulloblastoma treatment. The study involves ribosome profiling and RNAseq of medulloblastoma tissues and cell lines to observe the translation of non-canonical ORFs. Multiple CRISPR-Cas9 screens will be used to identify functional non-canonical ORFs implicated in medulloblastoma cell survival.

  Dataset EGAD00001011192

• Panel-based NGS data for ADME genes in human liver samples

  Panel-based next-generation sequencing data of 150 human surgical liver samples from Caucasian donors. The panel was designed for 340 ADME (absorption, distribution, metabolism and excretion) and ADME-related genes. NGS was carried out on the Illumina HiSeq2500 system (Illumina Inc., San Diego, CA, United States) at high depth with 2 × 100 bps paired-end reads. Variants were called using samtools and varscan (2.3.5). Data on n=15,727 filtered variants for the 150 patients are comprised in one vcf file.

  Dataset EGAD00001005116

• Whole genome sequencing of HSPC clones, bulk MSC cultures, and bulk sorted tumor samples

  Whole genome sequencing data (Illumina NovaSeq 6000) of clonal cultures derived from pediatric human bone marrow-derived hematopoietic stem and progenitor cells (in total 35 samples from 7 donors), bulk pediatric acute myeloid/lymphoid leukemia blasts (in total 2 samples from 1 patient) and bulk control mesenchymal stem cell cultures (4 samples from 4 patients) to study the mutation accumulation.

  Dataset EGAD00001006824

• Genomic and Transcriptomic Profile of Paired Primary-Metastasis Colorectal Tumors

  Samples encompass primary colorectal tumors, adjacent normal colonic mucosa and metastasis of 12 patients, collected by Medical Pathologists from surgically removed specimens. Normal mucosa samples were taken more than 2 cm away from the tumor. Tissues were embedded in optimal cutting temperature (OCT) medium, snapshot frozen in liquid nitrogen within 40 minutes of collection and preserved at -80ºC. Samples were collected between June 2010 and October 2017 as part of a prospective biobanking project.

  Dataset EGAD00001007686

• Oral microbiota composition assessed with 16S rRNA sequencing from adults aged over 65 years old.

  This is a oral microbiota amplicon dataset derived from adult participants aged over 65 years old. It consists a total number of 491 samples, stored in 982 paired-end FASTQ files with sequence lengths of 200 nucleotides generated with a Illumina MiSeq. Of those 491 samples, 347 were used in analysis, the remaining 144 samples are control samples.

  Dataset EGAD00001007705

• ICU transcriptomics: Assessing the role of the host immune response in patients with ventilator-associated pneumonia

  This is a study of 100 patients with the aim to provide transcriptomic sequencing data analysis of cells isolated from bronchioalveolar lavage and blood samples from critically ill patients with pneumonia on an intensive care unit in order to investigate the host contribution to disease. 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/

  Dataset EGAD00001015407

• Longitudinal Single-Cell Profiling in Refractory Mantle Cell Lymphoma

  we performed sequential scRNA-seq of 21 specimens (discovery cohort) collected at baseline, during treatment, and/or at disease remission/progression from 3 ibrutinib-responsive (R) patients (Pt-V, C and D) and 2 non-responsive (NR) patients (Pt-B and E). In addition, the PBMC samples from two healthy donors (N1 and N2) were included as the normal controls.

  Dataset EGAD00001006994

• CCTG IND.231 WGS DNA Sequencing Data

  41 WGS DNA sequences from: Phase I trial of CX-5461, a first-in-class G-quadruplex stabilizer in patients with advanced solid tumors enriched for DNA-repair deficiencies (CCTG IND.231)

  Dataset EGAD00001008756

• Single-cell RNA-seq data of bronchoalveolar lavage fluid and extramedullary relapse of a multiple myeloma patient with sarcoidosis-like reactions after anti-BCMA CAR T-cell therapy

  We performed single-cell RNA-sequencing (scRNA-seq) of cells in the bronchoalveolar lavage (BAL) fluid at 3-month follow-up of a multiple myeloma patient experiencing sarcoidosis-like pulmonary reactions after anti-BCMA CAR T-cell therapy (Sample alias: A8_3, A9_3; technical replicates). In addition we performed scRNA-seq of a extramedullary relapse lesion at 6-month follow-up (Sample alias: B10_3).

  Dataset EGAD00001008649

• Comprehensive single cell study of lung adenocarcinoma from early to metastatic stages

  We performed single cell RNA sequencing (scRNA-seq) for 208,506 cells derived from 58 lung adenocarcinomas from 44 patients, which covers primary tumour, lymph node and brain metastases, and pleural effusion in addition to normal lung tissues and lymph nodes. The extensive single cell profiles depicted a complex cellular atlas and dynamics during lung adenocarcinoma progression which includes cancer, stromal, and immune cells in the surrounding tumor microenvironments.

  Dataset EGAD00001005054

• Dynamics of sequence and structural cell-free DNA landscapes in small-cell lung cancer

  The dataset for the study “Dynamics of sequence and structural cell-free DNA landscapes in small-cell lung cancer” includes 171 bam files from targeted next-generation sequencing (TEC-Seq) from plasma cell-free DNA and matched white blood cell DNA from 33 individuals with small cell lung cancer, alongside 10 bam files from whole exome sequencing of tumor and matched normal DNA for 5 individuals with small cell lung cancer.

  Dataset EGAD00001009860

• Molecular profiling of DLBCL patients treated in the PETAL trial

  Shallow whole genome sequencing and targeted sequencing of DLBCL patients treated in the PETAL trial

  Dataset EGAD00001008386

• RNA-seq of PDAC patient-derived xenograft tumors

  This dataset contains single cell RNA-seq data of stromal cells derived from two PDX models (N = 2 in total) and bulk RNA-seq data of two PDX models treated with gemcitabine and our novel antibody-drug conjugate, C6-EBET (N = 59 in total). Bulk RNA-seq experiments were performed with Agilent SureSelect Strand Specific RNA Library Prep Kit (Agilent). Single cell RNA-seq experiments were performed with Chromium Single Cell 3' Reagent Kits v2 Chemistry (10x Genomics).

  Dataset EGAD00001010130

• FFPE, buffycoat and cell free DNA from N. German esophagus cancer patients - 2021

  28 patients. Cell-free DNA and leukocyte DNA, both from before any neoadjuvant treatment. Tumor FFPE tissue (plus metastasic tissue for some patients) from after any neoadjuvant treatment. Some cfDNA from follow-up time points (e.g. after neodj. treatment or in the clinical course). IDT xgen Pan-Cancer panel for hybridisation capture. Illumina TruSeq library prep for cfDNA and leukocyte DNA, Illumina DNA Prep for FFPE DNA. n=150 libraries in total.

  Dataset EGAD00001010081

• ESR1 mutations in tamoxifen-associated endometrial cancer versus spontaneous arisen endometrial tumors

  An increased incidence of endometrial cancer has been described for patients that have received tamoxifen to treat breast cancer. Using samples from endometrial tumors, isolated from surgivcal specimens of patients who previously received tamoxifen treatment for breast cancer, we aimed to identify whether there are specific somatic mutations enriched in this population, relative to endometrial tumors from the general population. For this, WES was performed on matched endometrial tumors and healthy tissue (n=21).

  Dataset EGAD00001009088

• Amplicon-based sequencing of drug resistant lung cancer cell lines (2017-07-05)

  A EGFR mutant NSCLC cell line which is sensitive to AZD9291 inhibition was mutagenised with the chemical mutagen ENU and then drug selected using a AZD9291. Single cell derived colonies were then manually picked and expanded in drug. Resistance was confirmed in a 14 day assay and DNA was collected. These then underwent targeted amplicon-based sequencing to confirm candidate resistance effectors hypothesised from currently available literature. This dataset contains all the data available for this study on 2017-07-05.

  Dataset EGAD00001003425

• Evolutionary Genome Analysis of Transformation into Small Cell Carcinomas from Lung Adenocarcinomas

  This dataset includes the high-throughput sequencing data from a study entitled "Clonal History and Genetic Predictors of Transformation into Small Cell Carcinomas from Lung Adenocarcinomas". Whole-genome sequencing libraries were generated by PCR-free methods, and sequencing run was made in HiSeq X or HiSeq 2500 machines. PCR duplicates-marked, indel-realigned, and base-recalibrarted BAM files are provided in our dataset.

  Dataset EGAD00001003315

• Whole transcriptome sequencing of Acute Myeloid Leukemias with an acquired inv(3)(q21q26) or t(3;3)(q21;q26) aberration

  In total 30 Acute Myeloid Leukemias with an acquired inv(3)(q21q26) or t(3;3)(q21;q26) have been characterized by whole transcriptome sequencing (RNA-Seq). The 3q-aberration leads to overexpression of the proto-oncogene EVI1, but the mechanism of overexpression has thus far been elusive. The RNA-Seq was integral in determining the precise enhancer inducing the overexpression and led to other key discoveries.

  Dataset EGAD00001000726