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• Single nucleus RNA sequencing of squamous cell carcinoma arising from mature teratoma of the ovary

  Squamous cell carcinoma arising from mature teratoma is one of the rare ovarian cancers. Therefore, the detailed molecular background of this disease has not been elucidated. The purpose of this study is to investigate the single-cell transcriptional landscape of this disease.

  Study JGAS000521

• Single cell atlas of large B-cell lymphoma

  The dataset comprises multi-omics profiles from 232 biopsies, including 217 from patients with large B-cell lymphoma (114 newly diagnosed and 103 relapsed/refractory) and 15 benign control samples. Specifically: single-nucleus RNA sequencing (snRNA-seq) was performed on all 232 biopsies; single-nucleus ATAC sequencing was conducted on 96 biopsies; bulk RNA sequencing was generated for 208 biopsies; whole-exome sequencing (WES) was performed on 174 tumor biopsies with 118 matched germline samples; Low-pass whole-genome sequencing (lpWGS) was performed on 174 tumor biopsies with 41 matched germline samples. All raw data files are provided in FASTQ format.

  Dataset EGAD50000001491

• (ChIP-seq) Shifted assembly and function of mSWI/SNF family subcomplexes underlie targetable dependencies in endometriod carcinomas

  ChIP-seq data of 18 samples from the VOA1066 undifferentiated endometrial carcinoma cell-line with various pulldowns: BRG1 (abcam, ab110642, GR3255117-11), BRD9 (CST, E4Q3F, Lot 1), ARID1A (CST, D2A8U, Lot 4), SS18 (CST, D6I4Z, Lot 1), PBRM1 (CST, D3F70, Lot 3), GLTSCR1 (CST, E6I3A, Lot 1), H3K27ac (CST, C36B11, Lot 16), or none. Sample were either untreated or received doxycycline-induced ARID1A treatment. Samples were sequenced on Illumina NextSeq 500 using 37 bp single-end sequencing parameters. Raw fastq files, along with processed bigwig files containing normalized genomic coverage, and called narrow peaks, are included for each sample.

  Dataset EGAD50000001473

• MutWP5: CRUK Mutographs of Cancer: Lung: PD43291_Novaseq (Exome) (2021-02-02)

  Sequencing of LCM-derived microbiopsies from explanted lung from COPD patient. Goal to assess the mutational burden, spectrum, and clonal dynamics within the tissue. Deep sampling throughout multiple regions of the lung will determine whether there are differences in smoking-related mutaiton burden in different portions of the lung. Whole-genome sequencing will be conducted on samples identified as promising from the initial targeted data. Results from this poriton of the study will be compared to other individuals with smoking-related diseases (COPD, pulmonary fibrosis, lung cancer), and normal, non-smoking lungs. . This dataset contains all the data available for this study on 2021-02-02.

  Dataset EGAD00001006932

• MutWP5: CRUK Mutographs of Cancer: Lung: PD38234 (WG) (2020-02-20)

  Sequencing of LCM-derived microbiopsies from explanted lung from pulmonary fibrosis patient. Goal to assess the mutational burden, spectrum, and clonal dynamics within the tissue. Deep sampling throughout multiple regions of the lung will determine whether there are differences in smoking-related mutation burden in different portions of the lung. Whole-genome sequencing will be conducted on samples identified as promising from the initial targeted data. Results from this portion of the study will be compared to other individuals with smoking-related diseases (COPD, pulmonary fibrosis, lung cancer), and normal, non-smoking lungs. . This dataset contains all the data available for this study on 2020-02-20.

  Dataset EGAD00001005991

• MutWP5: CRUK Mutographs of Cancer: Lung: PD37920 (WG) (2020-02-20)

  Sequencing of LCM-derived microbiopsies from explanted lung from COPD patient. Goal to assess the mutational burden, spectrum, and clonal dynamics within the tissue. Deep sampling throughout multiple regions of the lung will determine whether there are differences in smoking-related mutation burden in different portions of the lung. Whole-genome sequencing will be conducted on samples identified as promising from the initial targeted data. Results from this portion of the study will be compared to other individuals with smoking-related diseases (COPD, pulmonary fibrosis, lung cancer), and normal, non-smoking lungs. . This dataset contains all the data available for this study on 2020-02-20.

  Dataset EGAD00001005990

• MutWP5: CRUK Mutographs of Cancer: Lung: PD43291_Novaseq (WG)

  Sequencing of LCM-derived microbiopsies from explanted lung from COPD patient. Goal to assess the mutational burden, spectrum, and clonal dynamics within the tissue. Deep sampling throughout multiple regions of the lung will determine whether there are differences in smoking-related mutaiton burden in different portions of the lung. Whole-genome sequencing will be conducted on samples identified as promising from the initial targeted data. Results from this poriton of the study will be compared to other individuals with smoking-related diseases (COPD, pulmonary fibrosis, lung cancer), and normal, non-smoking lungs. . This dataset contains all the data available for this study on 2023-03-08.

  Dataset EGAD00001010111

• MutWP5: CRUK Mutographs of Cancer: Lung: PD38233 (WG) (2021-02-02)

  Sequencing of LCM-derived microbiopsies from explanted lung from COPD patient. Goal to assess the mutational burden, spectrum, and clonal dynamics within the tissue. Deep sampling throughout multiple regions of the lung will determine whether there are differences in smoking-related mutation burden in different portions of the lung. Whole-genome sequencing will be conducted on samples identified as promising from the initial targeted data. Results from this portion of the study will be compared to other individuals with smoking-related diseases (COPD, pulmonary fibrosis, lung cancer), and normal, non-smoking lungs. . This dataset contains all the data available for this study on 2021-02-02.

  Dataset EGAD00001006930

• The Gut Microbiome in Parkinson's Disease

  The uploaded data come from a nested case-control study, with participants with Premotor Parkinson Disease (PPS) as cases. In addition to the PPS cases, the study has three control groups: 1) constipation only controls, defined as those who only reported constipation, but not probable REM sleep behavior disorder (pRBD) or hyposmia; 2) healthy controls  who did not report constipation, pRBD or hyposmia; and 3) patients with recently diagnosed confirmed PD (diagnosed after January 1, 2010).  Participants were contacted between 2016 and 2020 for a set of two stool samples. All participants provided a baseline stool sample and a subset (N = 120) will provide a second stool sample.

  Study phs002193

• Using human induced pluripotent stem cell-derived oligodendrocytes to explore cellular phenotypes associated with t(1;11) translocation.

  Although the underlying neurobiology of major mental illness (MMI) remains unknown, emerging evidence implicates a role for oligodendrocyte-myelin abnormalities. Here, we took advantage of a large family carrying a balanced t(1;11) translocation, which substantially increases risk of MMI, to undertake both diffusion tensor imaging (DTI) and cellular studies to evaluate the consequences of the t(1;11) translocation on white matter structural integrity and oligodendrocyte-myelin biology (this translocation disrupts among others the DISC1 gene which plays a crucial role in brain development). At a cellular level, we observe dysregulation of key pathways controlling oligodendrocyte development and morphogenesis in induced pluripotent stem cell (iPSC) case derived oligodendrocytes.

  Study EGAS00001004595

• Center for Cancer Genomics (CCG) Cancers of Unknown Primary Project (CUPP)

  The Cancers of Unknown Primary Project (CUPP) aims to characterize difficult tumor types with the goal of determining future best treatment practices. NCI will utilize whole exome sequencing, copy-number variation, DNA methylation in conjunction with transcriptome sequencing to provide a comprehensive genomic landscape of Cancers of Unknown Primary (CUP). The samples will be processed and submitted for genomic characterization using pipelines and procedures established within the Center for Cancer Genomics (CCG).

  Study phs001801

• Analysis of Recurrently Protected Genomic Regions in Urine Cell-Free DNA

  This study investigated fragmentation patterns in urine and plasma cell-free DNA and evaluated the relevance of such analysis for cancer diagnostics using urine samples. Specifically, we performed whole-genome sequencing at variable depths and evaluated genome-wide coverage in urine and plasma samples, relative to known genome annotation features. Tumor/germline exome sequencing data included was used to identify genome-wide copy number changes and their effect on cfDNA fragmentation in corresponding genomic regions in urine samples. Data included in this submission is whole-genome sequencing of urine and/or plasma cell-free DNA from healthy volunteers and/or cancer patients, and whole-exome sequencing of tumor DNA and germline DNA (peripheral blood cells) from cancer patients. 

  Study phs002273

• University of Washington Developmental Single Cell Atlas

  We set out to generate a human cell atlas of both gene expression and chromatin accessibility using tissues obtained during development. In this study, we applied an assay for single cell profiling of gene expression based on three-level combinatorial indexing (sci-RNA-seq3) to 121 fetal tissue samples representing 15 organs, altogether profiling transcription in over 4 million single cells. In parallel, we devised an improved assay for single cell profiling of chromatin accessibility also based on three-level combinatorial indexing (sci-ATAC-seq3). We applied this method to 53 fetal tissue samples representing 15 organs, altogether profiling on the order of one million single cells. From these data, we identify and characterize diverse human cell types and annotate them with respect to marker genes, expression and regulatory modules. These data comprise a rich resource for the exploration of human biology.

  Study phs002003

• RNASeq from PPGL-derived PC12 cell lines cultivated in normoxia and hypoxia conditions.

  PC12 cells derived from rat PPGL were then either continued cultivated in the same normoxia condition (37˚C, 5% CO2 and 21% O2 balanced with N2) or were placed in a hypoxic incubator, that maintained a constant hypoxic environment (37˚C, 5% CO2 and 1% O2 balanced with N2), for different short (12h, 24h, and 48h) or prolonged time (36 days, approximately 860h).

  Study EGAS50000000814

• QSEA – modelling of genome-wide DNA methylation from sequencing enrichment experiments

  We describe a new method, QSEA, for analyzing methylation enrichment data. We generated a benchmark experiment consisting of MeDIP-seq enrichment data, targeted BS-seq validation data, and RNA-seq data on five pairs of tumor and adjacent normal samples of non-small cell lung cancer patients. Details of the method and its performance on the data have been described in Lienhard et al. (2016).

  Study EGAS00001001822

• Prospective high-throughput genome profiling in advanced cancers:

  Genomics-based tumor profiling in advanced cancers (aC) was recently demonstrated as feasible in clinical practice. After the prospective pilot PANDORA study done on advanced breast cancers, we conducted a prospective monocenter clinical trial called PERMED01 to evaluate the number patients with locally advanced or metastatic cancer for whom identification of molecular alterations in tumor samples could lead to the delivery of a targeted therapy

  Study EGAS00001004554

• A standardised framework for robust fragmentomic feature extraction from cell-free DNA sequencing data

  Fragmentomic features of cell-free DNA represent promising non-invasive biomarkers for cancer diagnosis. However, a lack of systematic evaluation of biases in feature quantification has hindered the adoption of such applications. We compared features derived from whole-genome sequencing of ten healthy donors using nine library kits and ten data-processing routes, and validated them in 1,182 plasma samples from published studies. Our results clarify the variations resulting from library preparation and feature quantification methods. We designed the Trim Align Pipeline and the cfDNAPro R package as unified interfaces for data pre-processing, feature extraction, and visualisation, aiming to standardise multimodal feature engineering and integration for machine learning.

  Dataset EGAD00001015535

• A genome-wide association study for nasopharyngeal carcinoma in Hong Kong population

  Study EGAS00001006102

• Germline Genetic Variants in Cancer-Susceptibility Genes in Patients with Osteosarcoma

  We conducted whole-exome sequencing of germline DNA from patients with osteosarcoma to estimate the frequency of pathogenic/likely pathogenic germline genetic variants in known cancer-susceptibility genes in a large population of osteosarcoma patients unselected for family history.

  Study phs002444

• Whole genome sequencing of mature B-cell lymphomas to identify MYC, BCL2, and BCL6 rearrangements

  Whole genome sequencing (WGS) data of 12 tumours was generated on an Illumina NovaSeq or HiSeqX instrument. For frozen samples, libraries were constructed using a PCR-free library construction method. For tumours preserved by formalin fixation and paraffin embedding (FFPE), libraries were constructed with a method that included S1 nuclease treatment. Reads were aligned to the grch37 reference with bwa-mem 0.7.17.

  Dataset EGAD50000000474

• smallRNA-seq of isolated pancreatic islets

  In this study we performed smallRNA-sequencing, a sequencing method designed for small noncoding RNAs, to investigate the miRNA expression profile of human islets isolated from pancreata of donors without diabetes mellitus (n=3) and donors with type 2 diabetes (n=3).

  Study EGAS50000000865

• Comprehensive molecular and clinicopathological profiling of desmoid tumors

  Previous studies have not clearly identified a prognostic factor for desmoid tumors (DT). Whole-exome sequencing and/or RNA sequencing were performed in 64 cases of DT to investigate the molecular profiles in combination with the clinicopathological characteristics.

  Study JGAS000270

• Whole exome sequencing of virus-associated HCC

  To understand comprehensive combinations of molecular alterations and seek for potential therapeutic targets/pathways in virus-associated HCC, we have conducted a whole exome sequencing (in-solution capturing all human coding exons) of 150 pairs of HCC cases.

  Study EGAS00001000389

• SPECTA__NGS_Screening_Program_for_Efficient_Clinical_Trial_Access

  SPECTA comprises a network of participating European clinical sites and NGS screening platforms that can screen individual patients for multiple molecular targets and potentially allow the design of trials that will match the specific biology of the diseases affecting specific patients with cancer.

  Study EGAS00001000728

• Transcriptomic response of miRNAs of monocytes to bacterial and viral stimuli assessed by RNA-seq in Africans and Europeans

  The dataset includes raw RNA-seq data (fastq files) for miRNAs of monocytes before and after 6-hour exposure to four different immune stimuli, measured in 200 African- and European-descent healthy donors from Belgium. The stimuli include ligands for TLR4 (LPS), TLR1/2 (Pam3CSK4) and TLR7/8 (R848) and to a human seasonal influenza A virus (IAV).

  Dataset EGAD00001006181

• Exome sequencing data to study therapeutic targeting of ependymoma

  This dataset contains whole exome sequencing data from 24 patients. The Agilent SureSelect Human All Exon 50-Mb target enrichment kit was used to capture all human exons for deep sequencing. For each patient a tumour and control sample has been sequenced on a Illumina HiSeq2000 instrument in paired-end mode. Up to three lanes per sample have been sequenced resulting in 118 Fastq files.

  Dataset EGAD00001003973

• Sex Differences in MAGEL2 Gene Promoter Methylation in High Functioning Autism - Trends from a Pilot Study Using Nanopore Cas9 Targeted Long Read Sequencing

  Using DNA extracted from peripheral blood, Cas9-targeted nanopore DNA sequencing was used to analyze MAGEL2 gene, including its entire regulatory construct (chr15:23639316-23651466), for sequence variation and 5-methyl-cytosine (5mC) modification in a cohort of adults with HFA compared to sex- and age-matched NC.

  Study EGAS50000000508

• PD1-targeted delivery of an IL-2 variant induces a multifaceted anti-tumoral T cell response in human lung cancer

  To explore PD1-IL2v-specific effects on CD8 and CD4 T cells at a transcriptomic level, we performed single-cell RNA sequencing of patient-derived tumor fragments (PDTFs) which were treated with either Isotype (DP47), Isotype-IL2v (DP47-IL2v), anti-PD1 (PembroPGLALA) or PD1-IL2v (PembroPGLALA-IL2v) for 48 hours.

  Study EGAS50000000396

• The gut microbiota in prediabetes and diabetes: a population-based cross-sectional study

  The link between the gut microbiota and type 2 diabetes (T2D) warrants further investigation because of known confounding effects from antidiabetic treatment. Here we profiled the gut microbiome in a discovery (n=1011) and validation (n=484) cohort comprising Swedish subjects naive for diabetes treatment and grouped by glycemic status.

  Study EGAS00001004480

• Kidney_tumour_DNA_exome

  This is an exome DNA sequencing study of human renal tumours

  Study EGAS00001003616

• Characterization of Autosomal CNV Among the Negrito from Peninsular Malaysia

  Copy number variation (CNV) has been recognized as a major contributor to human genome diversity. It plays an important role in determining phenotypes and has been associated with a number of common and complex diseases. However the CNV data from diverse populations is rather limited. Here we report the first investigation of copy number variation (CNV) in the indigenous populations from Peninsular Malaysia. We genotyped 34 Negrito genomes from Peninsular Malaysia using the Affymetrix SNP 6.0 microarray and identified 62 putative novel CNVs, consisting of 25 gains and 37 losses. These CNVs appear unique to the Negrito population and were absent in the DGV, HapMap3 and Singapore Genome Variation Project (SGVP) datasets. Analysis of gene ontology revealed that genes within these CNVs were enriched in the immune system (GO:0002376), response to stimulus mechanisms (GO:0050896), as well as the metabolic pathways (GO:0001852). Copy number gains in CNVRs enriched with genes were significantly higher than the losses (P value <0.001). Therefore, in view of the small population size, relative isolation and semi-normadic lifestyles of this community, we speculate that these CNVs may be attributed to recent local adaptation of Negritos from Peninsular Malaysia.

  Study phs000664

• Linking the epigenetic landscape in chronic lymphocytic leukemia to deregulated chromatin networks

  Aberrant chromatin features and epigenetic signaling emerge as an important part of the tumor disease state in chronic lymphocytic leukemia (CLL). However, an integrative analysis of the malignant chromatin landscape is currently missing. Here, we mapped DNA-methylation, nucleosome position, 7 histone modifications, ATAC-seq and the transcriptome in primary CD19+ sorted B-cells from the peripheral blood of CLL patients in comparison to non-malignant lymphocytes of healthy donor reference samples. On the > 50 kb scale we identified global differences with respect to DNA methylation, nucleosome positioning and histone modifications in CLL. Furthermore, a chromatin state annotation was developed to identify deregulated chromatin features of promoters and enhancers in CLL. By integrating these findings with an ATAC-seq based transcription factor binding analysis we identified a set of promoters and enhancers specific to CLL that were enriched in certain transcription factors binding motifs and genes of the BCR signaling pathway. Thus, our study provides an in-depth map of the CLL chromatin landscape and links chromatin state changes at promoters and enhancers to deregulated pathways.

  Study EGAS00001002518

• Microsatellite data show recent demographic expansions in sedentary but not in nomadic human populations in Africa and Eurasia.

  The transition from hunting and gathering to plant and animal domestication was one of the most important cultural and technological revolutions in human history. According to archeologists and paleoanthropologists, this transition triggered major demographic expansions. However, few genetic studies have found traces of Neolithic expansions in the current repartition of genetic polymorphism, pointing rather toward Paleolithic expansions. Here, we used microsatellite autosomal data to investigate the past demographic history of 87 African and Eurasian human populations with contrasted lifestyles (nomadic hunter-gatherers, semi-nomadic herders and sedentary farmers). Likely due to the combination of a higher mutation rate and the possibility to analyze several loci as independent replicates of the coalescent process, the analysis of microsatellite data allowed us to infer more recent expansions than previous genetic studies, potentially resulting from the Neolithic transition. Despite the variability in their location and environment, we found consistent expansions for all sedentary farmers, while we inferred constant population sizes for all hunter-gatherers and most herders, which could result from constraints linked to a nomadic or semi-nomadic lifestyle and/or competition for land between herders and farmers. As an exception, we inferred expansions for Central Asian herders. This might be linked with the arid environment of this area, which may have been more favorable to nomadic herders than to sedentary farmers. Alternatively, current Central Asian herders may descent from populations who have first experienced a transition from hunter-gathering to sedentary agropastoralism, and then a second transition to nomadic herding.

  Study EGAS00001000652

• Rhode Island Child Health Study (RICHS)

  Mother and infant pairs were enrolled in the Rhode Island Child Health Study (RICHS) at the Woman and Infant's Hospital from 2009 through 2014. This population consists of singleton, term infants (≥37 weeks gestation) born without serious pregnancy complications or congenital or chromosomal abnormalities. Given a priority interest to study fetal growth, the RICHS population was oversampled for both large for gestational age (LGA, >90% 2013 Fenton Growth Curve) and small for gestational age (SGA, <10% 2013 Fenton Growth Curve) infants.

  Study phs001586

• Diagnosis of pediatric central nervous system tumors using methylation profiling of cfDNA from cerebrospinal fluid

  In this study, we explore the potential of classifying pediatric brain tumors based on methylation profiling of the cell-free DNA in cerebrospinal fluid (CSF). For this proof-of-concept study, we collected 20 cerebrospinal fluid samples of pediatric brain cancer patients via a ventricular drain placed for reasons of increased intracranial pressure. For 11 patients in this study we collected matched tumor DNA. This cohort contains fastQ files of cfRRBS data of these samples.

  Study EGAS50000000377

• Activation-Induced Marker (AIM) Sequencing of Healthy Human T Cells

  T cells from five healthy human donors were stimulated with a peptide pool (CEFX, JPT) and anti-CD28/CD49d co-stimulation. Cells were then sorted based on activation (OX40 and PD-L1 for CD4s, CD137 for CD8s) and labeled with corresponding hashing antibodies prior to sequencing. In total, this dataset encompasses 42,370 cells (12,743 activation-induced marker (AIM)-positive, 15,369 AIM-negative, 14,258 Mock) for CITE-sequencing and TCR-sequencing of sorted activated, unactivated, and mock T cells derived from blood.

  Study phs004043

• scEC&T-seq manuscript data

  This dataset includes all data produced in the study describing "scEC&T-seq", a method for parallel sequencing of extrachromosomal circular DNA and transcriptome in single cells. This dataset includes: - Illumina scEC&T-seq Circle-seq data (scCircle-seq) for a total of 626 single cells / nuclei - bam files - Illumina scEC&T-seq RNA-seq data (scRNA-seq-Illumina) for the same single cells / nuclei - bam files - Nanopore scCircle-seq data for 18 single cells - bam files - Nanopore bulk WGS for 2 cell lines and 2 primary tumor samples - bam files - Illumina bulk WGS for 2 cell lines - bam files - Illumina bulk Circle-seq data from 1 cell line - bam file - Illumina ChIP-seq H3K27me3 data from 1 cell line - fasta files + peaks bed file + coverage bw file

  Dataset EGAD00001010071

• Multi-institutional collaboration to characterize 5hmC in prostate cancer, both tumor biopsies and cfDNA.

  This study used pull-down sequencing to measure 5-hydroxymethylcytosine (5hmC) levels in tissue biopsy specimens from patients with localized and metastatic castration-resistant (mCRPC) prostate cancer. For a subset of the cohort, the same technique was used to sequence cell-free DNA (cfDNA) isolated from patient plasma. To assess 5hmC levels in cfDNA from a larger number of specimens, plasma samples from another mCRPC cohort were also assayed with this method. The larger cohort of cfDNA samples was further anlayzed with a targeted sequencing gene panel.

  Study EGAS00001004942

• Splicing signature analysis of RNU4-2, RNU5A-1 and RNU5B-1

  Pathogenic variants in the snRNA RNU4-2 were recently described as a frequent cause of neurodevelopmental disorders. In our study we further delineate the phenotype associated with RNU4-2 and we also identify pathogenic variants in RNU5A-A and RNU5B-1. Capture-based RNA-Seq were performed to compare splicing pattern between affected and control individuals. A strong signature based on alternative 5' splice site usage was found for RNU4-2 patients, and we suggest an either 5' or 3' signature depending on the variant's localiztion in U5 genes.

  Study EGAS50000000889

• Single Cell Transcriptomics of peripheral immune cells pre- and post-Immune Checkpoint Blockade

  This is raw sequencing data, analysis of which is presented in the paper "Sensitivity to Immune Checkpoint Blockade and Progression-Free Survival is associated with baseline CD8+ T cell clone size and cytotoxicity", DOI: https://doi.org/10.1101/2020.11.15.383786

  Dataset EGAD00001007942

• Dataset for CD8-Positive lymphocyte samples

  This dataset contains scRNA sequencing data for CD8-Positive lymphocytes samples. Sequencing was performed on a Illumina NextSeq 550. The sequencing was always paired.

  Dataset EGAD50000000092

• Whole exome sequencing of sequential samples from a CLL patient over the course of venetoclax treatment, BCR inhibitor treatment, and venetoclax re-treatment

  The dataset contains whole exome sequencing data (libraries prepared using the Agilent SureSelect Human All Exon V6 kit, and paired-end sequenced on Illumina HiSeq4000 (2 x 150bp)) of 6 samples taken from peripheral blood mononuclear cells (PBMCs) (Samples 1-5) and bone marrow (BM). Data are provided as fastq files. Sample 1 was taken prior to initial venetoclax treatment. Sample 2 was taken as disease progression on venetoclax. Sample 3 was taken during response to BTK and PI3K inhibitor therapy. Sample 4 and the BM sample were taken at disease progression/prior to venetoclax re-treatment. And Sample 5 was taken during venetoclax re-treatment response.

  Dataset EGAD00001008685

• WGS short read and 10X linked read sequencing of HR Deficient breast cancers

  A set of tumor/normal paired sequencing experiments, performed in short read WGS and 10X linked read whole genomes. BAM files aligned to hg19 are provided. Sample Alias number and Subject ID reflects patient of origin. T/N distinction discriminates between tumor and normal (peripheral blood) tissue.

  Dataset EGAD00001010326

• Multi-Modal Single-Cell, Spatial, and Genomic Analyses of Human Non-Small Cell Lung Cancer Brain Metastases

  We performed single nuclei RNA-sequencing (snRNA-seq) with matched T cell receptor sequencing (TCR-seq), and pool matched low pass whole genome sequencing (WGS) of 12 treatment-naive non-small cell lung cancer (NSCLC) primary tumors (PTs) and 31 treatment-naive NSCLC brain metastases (BMs). In total, we recovered 277,206 cell transcriptomes in 43 samples. Single-nuclei suspension from frozen NSCLC metastases were generated using methods published in Slyper et al. (Nature Medicine, 2020, PMID:32405060) with modifications. The tissue was first cut in 20 µm sections using a cryostat and stored on dry ice until the next step. Then the tissue was put on wet ice and washed once with 5 ml PBS to remove OCT. After this step nuclei were extracted by vigorous pipetting in salt-tris buffer with Tween-20 (TST) followed by a high-volume wash in salt-tris buffer (ST). Nuclei were counted and 10,000-14,000 and were loaded using a Chromium controller (10X genomics) and Chromium Single Cell 5' Reagents (V1.1 and V2). Complementary DNA libraries were generated according to manufacturer's instructions, with the modification of one additional cycle of amplification. Matched single nuclei T cell receptor (snTCR) sequencing libraries were prepared from amplified cDNA libraries using either Chromium Single Cell V(D)J Enrichment Kit for human T cells Reagent Kit, v1.1, or single cell human TCR amplification kit. Final snTCR sequencing libraries were prepared using Single Index Kit T Set A for V1.1 libraries or Library construction kit and Dual Index Kit TT set A for V2 libraries. Sequencing libraries were quantified using Tapestation D5000 reagents and a 2200 TapeStation and pooled for sequencing. Pool matched low pass whole-genome sequencing (lp-WGS) was performed in addition to snRNA-seq to improve the identification of the malignant and non-malignant cell compartments. Nuclei from snRNA-seq sample preparations were collected by centrifugation (500g, 5 min), snap frozen after removing excess ST buffer, and stored at -200C until further processing. If insufficient nuclei (0C for 9 minutes. Adapters were not diluted, and the optional PCR (5 cycles) and cleanup were performed. After library cleanup with AMPure beads (Beckman Coulter, Brea, CA), libraries were quantified with Tapestation D5000 HS tapes (Agilent) and stored at -200C until sequencing.Using multiplexed immunofluorescence in an independent cohort of treatment-naïve pairs of primary tumors and brain metastases from the same patients with NSCLC, we validated genomic and tumor-microenvironmental findings and identified a cancer cell population characterized by neural features that strongly enriched in brain metastases. This comprehensive analysis provides insights into human NSCLC brain metastasis biology and serves as an important resource for additional discovery.

  Study phs003865

• RNAseq Transcriptomic Analyses of European Ancestry Samples in MGS Dataset

  Schizophrenia is a common and severe psychotic disorder. While some common SNPs and rare copy number variants have been identified as being significantly associated with disease risk, the biological mechanisms remain undefined. To identify gene expression abnormalities in schizophrenia, we generated whole-genome gene expression profiles using RNAseq on lymphoblastoid cell lines from schizophrenia cases and controls of European ancestry. Subsets of these data have been used in three studies: (1) gene expression outliers (extreme tails of the distribution of transcript expression values) in 634 cases and 713 controls (PMID: 26022996); (2) baseline differential gene expression by affection status in 529 cases and 660 controls (PMID: 28418402); and (3) baseline versus dopamine stimulated differential gene expression by affection status in 514 cases and 690 controls (PMID: 30115913). Various classes of classes were enriched in the differentially expressed genes, especially brain expressed genes and genes related to immune processes.

  Study phs001932

• An oncogenic enhancer-rearrangement causes concomitant deregulation of EVI1 and GATA2 in leukemia. Targeted resequencing of chromosomal regions centered on 3q21 and 3q26 in conjunction with RNA-Seq from Acute Myeloid Leukemia patients.

  Chromosomal rearrangements without gene-fusions have been implicated in leukemogenesis by causing deregulation of proto-oncogenes via relocation of cryptic regulatory DNA elements. AML with inv(3)/t(3;3) is associated with aberrant expression of the stem-cell regulator EVI1. Applying functional genomics and genome-engineering, we demonstrate that both 3q-rearrangements reposition a distal GATA2 enhancer to ectopically activate EVI1 and simultaneously confer GATA2 functional haploinsufficiency, previously identified as the cause of sporadic familial AML/MDS and MonoMac/Emberger syndromes. Genomic excision of the ectopic enhancer restored EVI1 silencing and led to growth inhibition and differentiation of AML cells, which could be replicated by pharmacologic BET-inhibition. Our data show that structural rearrangements involving chromosomal repositioning of enhancers can cause deregulation of two unrelated distal genes, with cancer as the outcome.

  Study EGAS00001000669

• Clinical panel sequencing of cancer of unknown primary using Comprehensive cancer panel (CCP)

  This database includes comprehensive cancer panel (CCP) on paired tumour and germline DNA from cancer of unknown primary samples, all of which are matched to WGS data under this study. This data was used to compare biomarker yield against what was achieved with WGS. This dataset contains n=34 tumour-germline paired samples. All samples are in BAM format aligned with GRCh38 reference genome.

  Dataset EGAD50000000655

• Clinical panel sequencing of cancer of unknown primary using TruSight Oncology 500 (TSO500)

  TruSight Oncology 500 (TSO500) cancer panel sequencing data on paired tumour and germline DNA from cancer of unknown primary samples. All of the samples in this dataset are matched to WGS data. This data was used to compare biomarker yield against what was achieved with WGS and contains n=51 tumour-only samples. All samples are in BAM format aligned with GRCh38 reference genome.

  Dataset EGAD50000000657

• Whole exome sequencing of uterine cervical cancer

  We conducted whole-exome sequencing of cervical tissue samples to evaluate HLA loss of heterozygosity (LOH) and B2M gene mutations, which are key mechanisms of immune evasion that allow cancer cells to escape T-cell recognition and antigen presentation.

  Study JGAS000824

• 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