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• Long-read amplicon sequencing data per risk gene

  Each gene contains individual nanopore long-read amplicon sequencing FASTQ files for: individual (IND) 01-05 and brain regions: Brodmann Area (BA): 10, 24, 9, 46, caudate (CAUD), cerebellum (CBM) and temporal cortex (TCX).

  Dataset EGAD00001015350

• DCCT/EDIC Epigenetics (DNA Methylation) Study

  Metabolic memory (persistent benefits of early glycemic control on preventing/delaying diabetic complications development) was observed in the Diabetes Control and Complications Trial (DCCT) and follow-up Epidemiology of Diabetes Interventions and Complications (EDIC) study, dbGaP phs000086.v3.p1, but mechanisms are unclear. We investigated the involvement of epigenetic DNA methylation (DNAme) by examining its associations with preceding glycemic history, and subsequent complications development over 18 years in blood DNAs of 499 randomly-selected DCCT/EDIC participants with type 1 diabetes. We found associations between DNAme near DCCT-closeout and mean-DCCT-HbA1c at 186 CpGs (FDR<15%, including 43 at FDR<5%), many located in complications-related genes. These CpGs are enriched in C/EBP motifs, enhancer/transcription regions in blood cells/progenitors, and open chromatin-states in myeloid cells. Remarkably, several CpGs in combination explain 68-97% of the mean-DCCT-HbA1c risk of complications development during EDIC. DNAme at key CpGs appears to mediate the association between hyperglycemia and complications in metabolic memory, through modifying myeloid cell enhancer activity.

  Study phs002024

• CNA differences between RNA-based subtypes of PDAC

  Pancreatic ductal adenocarcinomas (PDAC) have a dismal prognosis with a 5-year survival of <5%. Chemoresistance and recurrences, seen in approximately 70% of PDAC patients, may partly be explained by intratumor heterogeneity (ITH) through which tumors may develop ‘escape routes’. In the Pancreas Multibiopsy (PM)-project we have obtained multiple fragments from pancreatic and other peri-ampullary carcinomas in order to reveal potential ITH and identify genetic aberrations that predict outcome after surgery and response to chemotherapy. CNA-profiles were used to complement the characterization of liabilities in PDAC that we identified previously using RNAseq in the form of epithelial, secretory, compound pancreatic, and mesenchymal subgroups that showed survival outcomes. Comparison of CNA-profiles between these transcriptomics-based subgroups (with 8, 3, 6, and 6 tumors respectively per group) showed differences, ranging from ‘quiet’(i.e. hardly any CNA) to ‘wild’(i.e. lots of CNA), but these were not statistically significant (Chi2 0.09). When differentiating between the classical and basal-like molecular subtypes of PDAC differences in CNA (high or low) were even less statistically significant (Chi2 0.292).

  Study EGAS50000001218

• Uveal Melanoma Immunogenomics Predict Immunotherapy Resistance and Susceptibility

  Immunotherapy using immune checkpoint inhibition (ICI) has shown success in treating metastatic cutaneous melanoma but has limited efficacy against metastatic uveal melanoma (UM), a rare variant arising from the immune privileged eye. To better understand this immune resistance, we performed comprehensive immunogenomic profiling of 100 human UM metastases using clinicogenomics, bulk and single cell transcriptomics, T cell receptor (TCR) repertoire analysis, and tumor infiltrating lymphocyte (TIL) potency assessment. We found that over half of these metastases harbored TIL with potent autologous tumor specificity, despite having low tumor mutational burden and resistance to prior immunotherapies, including ICI and the bispecific T cell engager tebentafusp. These T cell infiltrated metastases displayed activated antigen presenting cells, chronic interferon signaling, and diverse TCR repertoires. However, we observed strikingly low intratumoral TCR clonality and transcriptionally non-proliferative TIL within the tumor microenvironment even after ICI and tebentafusp therapy, demonstrating that these immunotherapies were insufficient to induce proliferation of the tumor reactive TIL. To harness the therapeutic potential of these quiescent TIL, we developed rapid tumor transcriptomic profiling to enable their selective in vivo identification and ex vivo liberation to counter their growth suppression. We demonstrate that adoptive transfer of these transcriptomic selected TIL can promote tumor immunity in patients with metastatic UM when other immunotherapies are incapable.Data that will be available through dbGaP includes raw bulk tumor transcriptomic sequencing data.

  Study phs003330

• Long-read whole-genome sequencing-based concurrent haplotype phasing and aneuploidy profiling of single cells

  This dataset contains long-read whole-genome sequencing (lrWGS) data from 14 samples. Five lrWGS data are from single-cell (sc, sc_2, sc_3), multi-cell (mc, 10 cells), and bulk samples of HG002. The remaining nine lrWGS data are from two preimplantation genetic testing (PGT) families, including four from blood bulk DNA of the parental pairs and five from trophectoderm biopsies of two embryos from one family and three embryos from another family. The data are provided in raw FASTQ format and were generated using the PromethION device from Oxford Nanopore Technologies.

  Dataset EGAD50000000787

• Single-nuclei ATAC sequencing of pheochromocytoma and paraganglioma arising from germline SDHB mutations

  10x genomics single-nuclei ATAC sequencing of 7 SDHB-deficient non-metastatic and metastatic pheochromocytoma and paraganglioma, and 1 normal adrenal medulla sample. snATAC-seq was conducted using the "Van Helsing" protocol (dx.doi.org/10.17504/protocols.io.bw52pg8e). Once processed, snATAC-seq libraries were sequenced on the Illumina NextSeq 500 (Illumina, USA) using 50bp paired-end sequencing. Raw sequencing data in BCL format was demultiplexed using cellranger-atac mkfastq (V2.0.0). This dataset contains sequencing reads in FASTQ format. R1/R3 files contain the forward and reverse sequencing reads, respectively, R2 contains the 10x Barcode.

  Dataset EGAD50000000503

• KRT17High/CXCL8+ Tumor Cells Display Both Classical and Basal Features and Regulate Myeloid Infiltration in the Pancreatic Cancer Microenvironment

  Recent studies have uncovered the co-existence of basal and classical subtypes within pancreatic ductal adenocarcinoma (PDAC). We sought to characterize these intermediary cells using single-cell RNA sequencing of PDAC. We performed subtyping on 18 single-cell RNA sequencing human PDAC samples to identify multiple intermediary subtypes. We compared single-cell profiling of patient-matched blood and tumor samples to measure changes in the local and systemic immune microenvironments in CXCL8-high tumors vs. CXCL8-low tumors. Finally, we leveraged longitudinally patient-matched blood over the course of chemotherapy. In our studies we identified a cluster of KRT17high intermediary cancer cells that uniquely express high levels of CXCL8 and other cytokines which in turn influence the myeloid compartment both locally and systemically. We utilized sequencing data from dbGaP study accession phs002070. In addition to that, we included sequencing from new specimens which are deposited to this submission, consisting of one additional tumor specimen and 5 PBMC samples, sequenced after chemotherapy (longitudinally matched to PBMC samples in phs002071.v1.p1). FASTQ files of these sequencing runs are available through this dbGaP submission.

  Study phs003436

• ScRNA-seq of kidney organoids expressing different APOL1 variants and treated with IFN-γ

  This dataset includes scRNA-seq fastq files and Seurat counts and metadata for 3 samples of hiPSC-derived kidney organoid cells cultured in vitro in presence of IFN-γ. Samples were obtained from kidney organoids with APOL1 G1G1 variant, APOL1 G2G2 variant and an isogenic control.

  Dataset EGAD50000001743

• Combination pembrolizumab and radiotherapy induces systemic anti-tumor immune responses in immunologically-cold non-small cell lung cancer

  The abscopal effects of radiation may sensitize immunologically “cold” tumors to immune checkpoint inhibition (ICI). We investigated the immunostimulatory effects of radiotherapy leveraging multi-omic analyses of serial tissue and blood biospecimens (n=293) from a phase 2 clinical trial of stereotactic body radiation therapy (SBRT) followed by pembrolizumab in metastatic non-small cell lung cancer (NSCLC; NCT02492568). Patients with immunologically-cold tumors (low tumor mutation burden, null PD-L1 expression, WNT-pathway mutated) in the SBRT arm had significantly longer progression-free survival compared to ICI alone (P<0.05). Induction of interferon-gamma, interferon-alpha, and antigen processing and presentation gene sets was significantly enriched post SBRT in non-irradiated tumor sites (FDR adjusted P<0.01). Significant on-therapy expansions of new and pre-existing TCR clones in both the tumor and blood compartments were noted in the SBRT arm (P<0.05). These findings support the systemic anti-tumor effects of immuno-radiotherapy and may open a therapeutic window of opportunity to overcome resistance to ICI.

  Dataset EGAD50000000404

• Oncogenic chimeric transcription factors drive tumor-specific transcription, processing, and translation of silent genomic regions

  Many cancers are characterized by gene fusions encoding oncogenic chimeric transcription factors (TFs) such as EWS::FLI1 in Ewing sarcoma (EwS). Here, we find that EWS::FLI1 induces the robust expression of a specific set of novel spliced and polyadenylated transcripts within otherwise transcriptionally silent regions of the genome. These neogenes (NGs) are virtually undetectable in large collections of normal tissues or non-EwS tumors and can be silenced by CRISPR interference at regulatory EWS::FLI1-bound microsatellites. Ribosome profiling and proteomics further show that some NGs are translated into highly EwS-specific peptides. More generally, we show that hundreds of NGs can be detected in diverse cancers characterized by chimeric TFs. Altogether, this study identifies the transcription, processing, and translation of novel, specific, highly expressed multi-exonic transcripts from otherwise silent regions of the genome as a new activity of aberrant TFs in cancer.

  Study EGAS00001006293

• HGSC lines: ATACseq and RNAseq, pre- vs post-treatment with HKMTi-1-005

  Formation of a DAC to support the deposition of RNAseq and ATACseq data, from pre- vs post-treatment high-grade serous ovarian carcinoma cell lines. The lines include PEO1, PEO4, PEA2, OVCAR5, OVCAR8, and the treatment includes use of a novel epigenetic drug called HKMTi-1-005.

  Dac EGAC50000000034

• Spatial transcriptomics experiment

  This dataset include all spatial transcriptomics experiments. Samples coming from the same patient were sequenced on the same flowcell. Patients PTC4 to PTC9 were also sequenced on the same flowcell, as well as ATC1 and ATC2 on another one, and ATC3A and ATC3B on another one.

  Dataset EGAD00001011365

• BreastCancer_Miroarrays

  Genotyping array data for breast cancer and matched normal mammary gland samples

  Dataset EGAD00010002251

• BLEMD (arrays set)

  Circulating tumor cells for comprehensive and multiregional non-invasive genetic characterization of multiple myeloma (arrays set)

  Dataset EGAD00010001857

• Multisample2 Amplicon

  Amplicon data of tumor samples generated for validation of WES findings and further sub clonal mapping

  Dataset EGAD00001004020

• Familial CEBPA-mutated AML whole exome sequencing dataset

  Whole exome sequencing data for AML and matched normal samples

  Dataset EGAD00001000996

• Seminoma exome sequencing

  Exome sequencing data for 8 pairs of seminomas and matched normal

  Dataset EGAD00001001002

• KRAS Mutations in Multiple Myeloma

  Fastq files for 80 Multiple Myeloma Patients and 12 cell-lines

  Dataset EGAD00001005743

• Melanoma multi site metastases

  These are caveman, pindel, battenberg and brass calls for index patients' metastatic melanoma genomes within this study.

  Dataset EGAD00001005483

• RRBS melanoma biopsies

  RRBS data for melanoma biopsies at baseline and after treatment

  Dataset EGAD00001009060

• Treatment-mediated selection of lethal prostate cancer clones defined by copy number architectures

  Despite initial responses to hormone treatment, metastatic prostate cancer invariably evolves to a lethal state. To characterize the intra-patient relationships of metastases that evade treatment, we performed genome- wide copy number profiling and bespoke approaches targeting the androgen receptor (AR) on 142 metastatic regions from 10 organs harvested post-mortem from nine men who died from prostate cancer. We identified diverse and patient-unique alterations clustering around the AR in metastases from every patient with evidence of independent acquisition of related genomic changes within an individual and, in some patients, the co-existence of AR-neutral clones. Using the genomic boundaries of pan-autosome copy number change, we confirmed a common clone of origin across metastases and diagnostic biopsies; and identified in individual patients, clusters of metastases occupied by dominant clones with diverged autosomal copy number alterations. Autosome-defined clusters were characterized by cluster-specific AR gene architectures that in two index cases were topologically more congruent than by chance (p-values 0.03, 3.07x10-8). Integration with anatomical site suggested patterns of spread and points of genomic divergence. Copy number boundaries identified treatment-selected clones with putatively distinct lethal trajectories.

  Study EGAS00001006598

• Oral microbiome composition of Agta hunter-gatherers (16S)

  To investigate the factors affecting the composition of the oral microbiome of Agta hunter-gatherers from the Philippines, we sequenced the 16S rRNA region from saliva samples from the Agta population (hunter-gatherers from Philippines) together with BaYaka (hunter-gatherers from Congo) and Palanan farmers (neighboring population of the Agta).

  Study EGAS00001005317

• Single-cell profiling of co-cultures of GSCCs and macrophages

  Glioblastoma (GBM) remains the most malignant primary brain tumor, with a median survival rarely exceeding 2 years. Tumor heterogeneity and an immunosuppressive microenvironment are key factors contributing to the poor response rates of current therapeutic approaches. GBM-associated macrophages (GAMs) often exhibit immunosuppressive features that promote tumor progression. However, their dynamic interactions with GBM tumor cells remain poorly understood. Here, we used patient-derived GBM stem cell cultures and combined single-cell RNA sequencing of GAM-GBM co-cultures and real-time in vivo monitoring of GAM-GBM interactions in orthotopic zebrafish xenograft models to provide insight into the cellular, molecular, and spatial heterogeneity. Our analyses revealed substantial heterogeneity across GBM patients in GBM-induced GAM polarization and the ability to attract and activate GAMs – features that correlated with patient survival. Differential gene expression analysis, immunohistochemistry on original tumor samples, and knock-out experiments in zebrafish subsequently identified LGALS1 as a primary regulator of immunosuppression. Overall, our work highlights that GAM-GBM interactions can be studied in a clinically relevant way using co-cultures and avatar models, while offering new opportunities to identify promising immune-modulating targets.

  Study EGAS00001007482

• SINGLE-CELL RNA SEQUENCING Single-cell RNA sequencing was performed on 13 ‘mild-moderate’ and 10 ‘critical’ COVID19 PBMC samples

  Summary Epidemiological and clinical reports have indicated that SARS-CoV-2 virulence hinges upon the triggering of an aberrant host immune response, more so than on direct virus-induced cellular damage. To elucidate the immunopathology underlying COVID-19 severity, we performed cytokine and multiplex immune profiling in mild-moderate and critically ill COVID-19 patients. Hypercytokinemia in COVID-19 differed from the IFN-γ-driven cytokine storm in macrophage activation syndrome, and was more pronounced in critical versus mild-moderate COVID-19. Systems modelling of cytokine levels paired with deep-immune profiling showed that classical monocytes drive this hyper-inflammatory phenotype and that a reduction in T-lymphocytes correlates with disease severity, with CD8+ cells being disproportionately affected. Expression of antigen presenting machinery was also reduced in critical disease. Furthermore, we found that neutrophils contributed to disease severity and local tissue damage by amplification of hypercytokinemia and the formation of neutrophil extracellular traps. Together these findings suggest a myeloid-driven immunopathology, in which hyperactivated neutrophils and an ineffective adaptive immune system act as mediators of COVID-19 disease severity.

  Study EGAS00001005039

• High_powered_complex_trait_association_mapping_through_whole_genome_sequencing_of_a_selected_subpopulation_of_the_INGI_Val_Borbera_genetic_isolate

  The VBSEQ project aims to combine available extensive genetic and phenotypic data to the latest high-throughput genome sequencing technology and ad hoc statistical analysis to identify new rare genetic variants underlying complex traits. Up to 100 Val Borbera samples will be sequenced to a 6x depth.

  Study EGAS00001000398

• DCM-cases

  DCM-cases (149 human DCM samples) human heart biopsies from 149 patients with dilated cardiomyopathy (DCM) were subjected to RNA sequencing in order to assess transcriptome variation. We used Illumina HiSeq2000 technology. Each sample-dataset contains the output from tophat-1.4.1 (one *.bam file with the aligned reads and two *.fq files one with the not aligned forward read and one with the revers unaligned reads). We reveal extensive differences of gene expression and splicing between dilated cardiomyopathy patients and controls.

  Dataset EGAD00001003390

• DCM-controls

  DCM-controls (113 human non-DCM samples) human heart biopsies from 113 non-diseased controls were subjected to RNA sequencing in order to assess transcriptome variation. We used Illumina HiSeq2000 technology. Each sample-dataset contains the output from tophat-1.4.1 (one *.bam file with the aligned reads and two *.fq files one with the not aligned forward read and one with the revers unaligned reads). We reveal extensive differences of gene expression and splicing between dilated cardiomyopathy patients and controls.

  Dataset EGAD00001003391

• Identification of low frequency variants associated with ulcerative colitis using whole-genome sequencing

  2000 ulcerative colitis cases drawn from the UKIBD Genetics Consortium cohort and whole-genome sequenced at 2X depth. A case control association study using control samples whole-genome sequenced by UK10K will be undertaken to identify common, low-frequency and rare variants associated with ulcerative colitis. Data will be combined with similar data across 3000 Crohn's disease cases from the same cohort to identify inflammatory bowel disease (IBD) loci and better understand the genetic differences and similarities of the two common forms of IBD.

  Dataset EGAD00001000409

• Mongolia Western HCC

  Mongolia has the world’s highest incidence of hepatocellular carcinoma (HCC), with ~100 cases/105 inhabitants. We molecularly characterize the Mongolian (n=192) compared to Western HCCs (n=187) by RNA-seq and WES. Mongolian patients were predominantly younger, female, with HBV-HDV non-cirrhotic livers. Mongolian HCCs had higher rates of protein-coding mutations (121 vs 70 mut /tumor in West), and mutations in known (i.e. APOB) and putative HCC drivers (TSC2). A novel mutational signature (SBS Mongolia) was identified in 25% of cases associated with the carcinogenic DMS genotoxic signature. Two unique molecular classes enriched in HBV-HDV infection, female gender and inflamed tumors are described.

  Study EGAS00001005364

• WES

  Genomic DNA was extracted from PBMCs and whole blood using the Chemagic Prime DNA Blood 4k kit. DNA quality and integrity were assessed by Qubit and Tapestation, and only samples with sufficient quantity, DIN > 6, and confirmed sex were used. Whole-exome libraries were prepared with the SureSelect XT Human All Exon V8 kit (Agilent), covering all human protein-coding regions. DNA was fragmented, adapter-ligated, captured, and amplified following the manufacturer’s protocol. Libraries were quantified, pooled (95 samples), and sequenced on an Illumina NovaSeq 6000 using S4 flow cells, generating up to 12 billion paired-end reads per run.

  Dataset EGAD50000002037

• Rearrangements of the MAST Kinase and Notch Gene Families in Breast Cancer

  Paired-end transcriptome sequencing was performed on a panel of breast cancer cell lines and tissues and a set of benign cell line and tissue controls. Analyses of the paired end sequences were performed and chimeric transcripts derived from gene rearrangement events were identified. Sequencing was performed on Illumina GAII and HiSeq 2000 platforms with read lengths from 40 to 100 bases.

  Study phs000513

• Whole exome and RNA sequencing data from urothelial bladder cancer patients treated with anti-PD-(L)1

  We have generated and analyzed genomic data from a cohort of metastatic urothelial carcinoma patients treated with ICI such as anti-PD-(L)1 monoclonal antibodies. The dataset contains whole exome sequencing data of 27 whole blood samples and 27 FFPE tumor samples. Further, it includes RNA sequencing data from 21 tumor samples. Following the RECIST criteria, 10 patients were classified as non-responders to the treatment, and 17 were responders. The dataset also contains a merged vcf file containing somatic mutations called by Strelka2 and Mutect2 following the gatk best practice pipeline.

  Dataset EGAD00001010324

• Elucidation of molecular mechanism of NAFLD-HCC

  We aimed to elucidate the interaction between cancer cells and immune cells in the tumor immune microenvironment of non-viral hepatocellular carcinoma.

  Study JGAS000311

• Flemish_Gut_Flora_Project

  "Here, we studied well-phenotyped individuals from the Flemish Gut Flora Project (FGFP, N=1,106, Belgium) and the effect of environments on microbiome."

  Study EGAS00001001689

• GEL_WGS_Comparison

  These samples are to be analysed with the CGP Developed cancer panel and the results will be compared with WGS data from 4 different comercial providers.

  Study EGAS00001000649

• NHLBI TOPMed: Genetic Epidemiology Network of Salt Sensitivity (GenSalt)

  The GenSalt study aims to identify genes which interact with dietary sodium and potassium intake to influence blood pressure in Han Chinese participants from rural north China. Whole genome sequencing will be conducted among 1,860 participants of the Genetic Epidemiology Network of Salt Sensitivity (GenSalt) Study. We will work in collaboration with participating TOPMed studies to identify novel common, low-frequency and rare variants associated with an array of cardiometabolic phenotypes. In addition, we will explore the relation of low-frequency and rare variants with salt-sensitivity among GenSalt study participants.

  Study phs001217

• Acquired Cross-Resistance in Small Cell Lung Cancer Patient-Derived Xenografts

  Here we present whole genome sequencing and RNA sequencing of patient-derived xenograft (PDX) models of small cell lung cancer (SCLC). These models were derived at a variety of clinical time points from either biopsy/resection samples, malignant effusions, or circulating tumor cells (CTCs), and grown in the subcutaneous flank of NSG (NOD.Cg-Prkdcscid Il2rgtm1Wjl /SzJ) mice. The first analysis published with these data was to determine the genomic and transcriptomic features of PDX models derived after relapse that demonstrated in vivo resistance to multiple chemotherapy regimens (cross-resistance).

  Study phs003486

• PanCancer genome analysis in 5143 Japanese cancer patients

  This study aimed to establish the Japanese Cancer Genome Atlas (JCGA) using data from fresh frozen tumor tissues obtained from 5143 Japanese cancer patients, including those with colorectal cancer (31.6%), lung cancer (16.5%), gastric cancer (10.8%) and other cancers (41.1%). The results are part of a single-center study called ���High-tech Omics-based Patient Evaluation��� or ���Project HOPE��� conducted at the Shizuoka Cancer Center, Japan. All DNA samples and most RNA samples were analyzed using whole-exome sequencing, cancer gene panel sequencing, fusion gene panel sequencing and microarray gene expression profiling.

  Study JGAS000274

• Smart-seq 2 single cell sequencing of CD4 and CD8 T cells from the blood and synovial fluid of 4 psoriatic arthritis patients.

  This dataset was used to characterise T cell gene expression and clonality at sites of active inflammation within the joints of psoriatic arthritis (PsA) patients, and to compare these results with T cells from the peripheral blood of those same patients. Freshly sorted CD45RA negative CD3+CD4+ and CD3+CD8+ single cells from four patients were individually flow sorted into 96-well full-skirted plates (Eppendorf) containing 10µL of a 2% Dithiothreitol (DTT, 2M Sigma-Aldrich), RTL lysis buffer (Qiagen) solution. Cell lysates were sealed, mixed and spun down before storing at -80 ºC. Paired-end multiplexed sequencing libraries were prepared following the Smart-seq 2 protocol using the Nextera XT DNA library prep kit (Illumina). A pool of barcoded libraries from four different plates were sequenced across two lanes on the Illumina HiSeq 2500.

  Dataset EGAD00001006342

• RNA-Seq studies of Gene Expression in Cells and Networks in FI and ACC in Autism

  RNA-Seq studies of Gene Expression in Cells and Networks in FI (fronto-insular) and AC (anterior cingulate) cortex in Autism. We seek to understand the cellular bases of autism by using a new technology, RNA-Seq, to determine differences in gene expression in autopsy brains of subjects with well described autism versus age and sex matched neurotypical individuals. We have investigated two specific cortical areas involved in self-awareness and social reciprocity which are abnormal in autism and have found increased expression in a network of genes related to inflammation in autism group A, whereas the remaining cases, autism group B, have increased expression in a network of genes related to synapses. The current dbGaP study release includes RNA sequencing and phenotype data of n=27 subjects of African - American, Caucasian, or Hispanic origin.

  Study phs000609

• Inter and intra - tumor heterogeneity in Colorectal Cancer

  We used high depth massive parallel sequencing analyses to study 27 CRC (colorectal cancer) patients, with a total of 97 tumors (both primary and matched metastases) in addition to healthy control samples. We found inter-tumor concordance for coding mutations; in contrast, gene copy numbers were found to be highly discordant between primary tumors and metastases as validated by fluorescent in-situ hybridization. in a further step, we dissected a single tumor into 68 spatially defined samples and sequenced them separately. Here we identify evenly distributed coding mutations in APC and TP53 in all tumor areas, yet highly variable gene copy numbers in numerous genes.

  Study EGAS00001002150

• Analysis of ATL progression by CD30 signaling and its biomarkers (2)

  Adult T-cell leukemia/lymphoma (ATL) develops via stepwise accumulation of gene mutations and chromosome aberrations. However, the molecular mechanisms underlying this tumorigenic process are poorly understood. We aim to elucidate the mechanism of the tumorigenic process involving genomic aberrations by CD30 signaling in HTLV-1���infected T-cells.

  Study JGAS000537

• Whole exome and ChIP sequencing of external auditory canal squamous cell carcinoma (EACSCC)

  We performed whole exome sequencing of the primary tumor tissues, peripheral blood mononuclear cells from an EACSCC patient as well as the cell line established from the primary tumor tissues. We performed ChIP sequencing of primary tumor tissues and noncancerous ear skin tissues from EACSCC patients as well.

  Study JGAS000645

• Sequence analysis of colorectal serrated lesions

  Recent studies have shown that colorectal serrated lesions, which include sessile serrated adenomas (SSAs) and traditional serrated adenomas (TSAs), are precursors of colorectal cancer. However, the molecular mechanisms underlying the carcinogenesis, particularly in TSAs, remain largely uncharacterized. To clarify their molecular and clinicopathological characteristics, we performed mutation and methylation analyses of cancer-associated genes in 78 serrated lesions, including TSAs, SSAs and microvesicular hyperplastic polyps. Target exon sequence analysis was performed with 39 genes, including genes known to be frequently mutated in colorectal cancers and/or serrated lesions. We also used bisulfite pyrosequencing to assess the methylation status of various cancer-associated genes and marker genes of the CpG island methylator phenotype (CIMP). The prevalence of mutations in genes associated with Wnt signaling was significantly higher in TSAs than SSAs (65% vs. 28%, p < 0.01). Among those, RNF43 mutations were observed in 38% of TSAs and 17% of SSAs. In immunohistochemical studies of 39 serrated lesions, the prevalence of abnormal nuclear ?-catenin accumulation was significantly higher in TSAs (57%) than SSAs (8%) (P = 0.01). SMOC1 methylation was detected in 54% of TSAs but in no SSAs (p < 0.01). Additionally, SMOC1 methylation was more prevalent among TSAs with KRAS mutation (82%) than with BRAF mutation (38%, p = 0.03). Lesions with CIMP-high or RNF43 mutations were detected only in TSAs with BRAF mutation, suggesting two distinct carcinogenic pathways in TSAs. Mutations in genes associated with Wnt signaling play a greater role in the carcinogenesis of TSAs than SSAs.

  Study JGAS000217

• 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

• Multi-omics Profiling of Airway Neutrophils and Microbiome in Stable Bronchiectasis

  This dataset comprises raw sequencing data generated from a multi-omics study investigating airway neutrophils and the microbiome in patients with stable bronchiectasis. Samples consist of multiplexed pools derived from blood and sputum collected from multiple subjects. Each pool represents a combination of biological materials from different individuals, and therefore individual-level metadata such as sex and disease stage are not attributable at the sample level. The dataset aims to characterize immune and microbial profiles associated with chronic airway inflammation in bronchiectasis.

  Dataset EGAD50000002607

• Application of targeted long-read methylation sequencing to dissected lung cancer tissues

  To investigate DNA methylation patterns within the tumor microenvironment, multiple regions were dissected from fresh-frozen sections of two lung adenocarcinoma specimens using the Millisect system. These regions were annotated based on spatial transcriptome data. DNA samples extracted from these regions were subjected to targeted long-read methylation sequencing using t-nanoEM. To establish a control dataset, short-read whole-genome sequencing (WGS) was performed on the tumor and normal parts, and long-read WGS was performed on the tumor part.

  Study JGAS000757

• Whole-genome analysis of a healthy man with common trichromatic vision

  Humans have a diversity of color vision that cannot be divided into normal and abnormal. As a first step to elucidate the genetic basis that contributes to the diversity of human color vision, we conducted a whole-genome analysis using DNA extracted from the saliva of a healthy man with common trichromatic vision. Further comparison with the genomes of people with various types of color vision may provide a model study of human nature that cannot be divided into normal and abnormal.

  Study JGAS000348

• Whole exome sequencing data of Hispanic hepatocellular carcinoma

  The paired-end reads were aligned to the human reference genome (hg19) with decoy sequences (as used in the 1000 Genomes Project) using BWA (v0.7.5a) software. The duplicate reads were marked and subsequently removed using Picard (v1.140) (https://broadinstitute.github.io/picard/) and SAMtools (v0.1.19), respectively. Local realignment around insertions/deletions (indels) and base quality recalibration were performed using GATK (v3.6).

  Dataset EGAD00001011158

• mRNA-Sequencing of 73 primary multiple myeloma (MM) samples and human MM cell lines

  mRNA-Sequencing of 73 primary multiple myeloma (MM) samples and human MM cell lines before and after siRNA-mediated knockdown of ADAM8 (n=5 cell lines), ADAM9 (n=7 cell lines) and ADAM15 (n=5 cell lines). Paired-end sequencing was performed on a NovaSeq (Illumina). Fastq and bam files are provided for each sample.

  Dataset EGAD50000000575