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• RNA-seq data from the MESOMICS project (French project of molecular characterization of malignant pleural mesothelioma)

  The dataset includes fastq files from 109 tumor samples as well as RNA-seq gene expression R data, RNA-seq transcript expression R data, RNA-seq gene counts matrix, RNA-seq transcript counts matrix, RNA-seq gene FPKM matrix RNA-seq transcript FPKM matrix for the 109 samples. The sequencing was done with HiSeq 2000 instrument.

  Dataset EGAD00001007024

• cfMeDIP data for 22 WCDT samples

  We analyzed the cell free DNA methylomes using 22 plasma samples from patients with mCRPC prostate cancer in the WCDT project. Methylation was profiled using the methylated DNA immunoprecipitation coupled to next generation sequencing (MeDIP) technology.

  Dataset EGAD00001008713

• WGS data subfolder HF3J5CCXY from multifocal ileal NETs study

  This dataset includes linked-read whole-genome sequencing data (subfolder HF3J5CCXY) for multifocal ileal tumor samples from one patient. Samples were sequenced using the 10x Genomics linked-read whole-genome sequencing (WGS) approach.

  Dataset EGAD00001008493

• sWGS of OV cell lines for ACN rascal study

  This dataset contains 60 .bam files of shallow WGS data (~0.1X) from ovarian cancer cell lines. Sequencing reads were aligned to the 1000 Genomes Project GRCh37-derived reference genome using the BWA aligner (v.0.07.17; CRUK-CI alignment pipeline).

  Dataset EGAD00001008118

• The University of Hong Kong Colon Cancer Ganciclovir Study WGS Data

  Human clonal intestinal organoids were treated with 1µM MMF (Roche), 20 μM GCV (Hainan Poly Pharm Co Ltd), or in combinations (1 µM MMF + 20 μM GCV or 1 µM MMF + 40 μM GCV) continuously for 4-6 weeks. DNA was extracted after drug treatment. WGS was performed with 150 bp PE sequencing at 30X using an Illumina Novaseq sequencer.

  Dataset EGAD00001009667

• BCG Molecular Subtyping

  Dataset for the paper: Non-muscle Invasive Bladder Cancer Molecular Subtypes Predict Differential Response to Intravesical Bacillus Calmette-Guérin

  Dataset EGAD00001010065

• Paired RNA-Seq for Sarcoma tumors

  Paired RNA-Seq of 199 samples of Sarcoma tumors. The sequencing was done mostly on HiSeq 4000 with Illumina TruSeq Stranded mRNA, ist was also done on NovaSeq 6000 using the same kit. Very few samples were sequenced on HiSeq X Ten with Illumina TruSeq RNA or Illumina TruSeq Stranded mRNA.

  Dataset EGAD00001010256

• Exploring_the_landscape_of_somatic_mutations_in_normal_tissue___POL___TGS_

  Somatic mutations (burdens and signatures) and clonal dynamics in individuals with germline DNA polymerase mutations.

  Study EGAS00001003754

• Shallow whole genome sequencing of ctDNA samples from DETECT study

  A large-scale retrospective study in metastatic breast cancer patients using circulating tumour DNA and machine learning to predict treatment outcome and progression-free survival from the paper "A large-scale retrospective study in metastatic breast cancer patients using circulating tumour DNA and machine learning to predict treatment outcome and progression-free survival", by Beddowes et al. Mol.Onc.

  Study EGAS50000000911

• Reconstruction of human terminal erythroid differentiation cell at single cell level

  Terminal erythroid differentiation cells(GYPA+ cells) were isolated from neonate cord blood(CB) and adult bowe marrow(BM). single cell transcriptome sequencing library was constructed by 10X genomics system and sequenced by Illumina X ten platform. Sequencing data was analyzed to profile dynamic expression genes and centre regulators during terminal erythroid differentiation stage within CB and BM.

  Study EGAS00001003114

• Redefined indel taxonomy reveals insights into mutational signatures

  Despite their deleterious effects, small insertions and deletions (indels) have received far less attention than substitutions. Here we generated isogenic CRISPR-edited human cellular models of post-replicative repair dysfunction (PRRd), including individual and combined gene-edits of mismatch repair (MMR) and replicative polymerases (POLE and POLD1), enabling the study of mutational processes driving indel formation.

  Study EGAS50000000148

• Epstein-Barr Virus status drives morphological and molecular intra-tumour heterogeneity in gastric cancer: insights from a case report and literature review

  This case report describes a rare case of bi-phenotypic gastric cancer with two distinct, but clonally related, histological components. The first component, associated with Epstein-Barr virus (EBV) infection, exhibited the morphological features of gastric carcinoma with lymphoid stroma, suggesting that EBV, as an effective immunogenic factor, may trigger a prominent immune response within the tumour microenvironment. The second component, which was EBV-negative, displayed tubular/papillary morphology and features of increased biological aggressiveness, such as high-grade areas and lymphatic invasion. Immunohistochemical and molecular studies confirmed that, despite the differing morphologies and immunophenotypes, both components were clonally related, with especially the EBV-negative area showing more complex DNA aberrations, reminiscent of Chromosomally instable (CIN) lesions. This case describes clonally related EBV-positive and negative components within a single gastric cancer, contributing to a better understanding of EBV role in tumour heterogeneity and progression and highlighting the impact of EBV loss on tumour behaviour.

  Study EGAS50000000706

• Transcriptional mechanisms of resistance to anti-PD-1 therapy

  Purpose: To explore factors associated with response and resistance to anti-PD-1 therapy, we analyzed multiple disease sites at autopsy in a patient with widely metastatic melanoma who had a heterogeneous response.Materials and Methods: Twenty-six melanoma specimens (four pre-mortem, 22 post-mortem) were subjected to whole-exome sequencing. Candidate immunologic markers and gene expression were assessed in ten cutaneous metastases showing response or progression during therapy.Results: The melanoma was driven by biallelic inactivation of NF1. All lesions had highly concordant mutational profiles and copy number alterations, indicating linear clonal evolution. Expression of candidate immunologic markers was similar in responding and progressing lesions. However, progressing cutaneous metastases were associated with over-expression of genes associated with extracellular matrix and neutrophil function.Conclusions: Although mutational and immunologic differences have been proposed as the primary determinants of heterogeneous response/resistance to targeted therapies and immunotherapies, respectively, differential lesional gene expression profiles may also dictate anti-PD-1 outcomes.

  Study EGAS00001002195

• Myeloma Genome Project Targeted Panel Validation dataset

  372 samples consisting of 185 patient paired CD138+ tumor and non-involved DNA pairs, plus 5 Horizon Diagnostic known mutation standards (HD). Samples were processed using the KAPA HyperCap protocol and hybridized onto a targeted panel for multiple myeloma and associated diseases. Reference Sudha et al Clinical Cancer Research, 2022.

  Dataset EGAD00001008689

• A73044B

  Whole genome sequencing for single cells for library A73044B 2085 cells; filetype=bam

  Dataset EGAD00001007101

• A73047D

  Whole genome sequencing for single cells for library A73047D 2091 cells; filetype=bam

  Dataset EGAD00001007102

• A95633B

  Whole genome sequencing for single cells for library A95633B 2259 cells; filetype=bam

  Dataset EGAD00001007104

• A96115A

  Whole genome sequencing for single cells for library A96115A 1635 cells; filetype=bam

  Dataset EGAD00001007111

• A96193B

  Whole genome sequencing for single cells for library A96193B 2410 cells; filetype=bam

  Dataset EGAD00001007118

• A96240B

  Whole genome sequencing for single cells for library A96240B 1683 cells; filetype=bam

  Dataset EGAD00001007122

• A95623A

  Whole genome sequencing for single cells for library A95623A 1897 cells; filetype=bam

  Dataset EGAD00001007607

• A95668B

  Whole genome sequencing for single cells for library A95668B 1905 cells; filetype=bam

  Dataset EGAD00001007609

• A95720A

  Whole genome sequencing for single cells for library A95720A 1467 cells; filetype=bam

  Dataset EGAD00001007613

• A96190A

  Whole genome sequencing for single cells for library A96190A 1833 cells; filetype=bam

  Dataset EGAD00001007620

• A96233B

  Whole genome sequencing for single cells for library A96233B 1601 cells; filetype=bam

  Dataset EGAD00001007623

• A98234B

  Whole genome sequencing for single cells for library A98234B 1600 cells; filetype=bam

  Dataset EGAD00001007627

• A98304A

  Whole genome sequencing for single cells for library A98304A 1560 cells; filetype=bam

  Dataset EGAD00001007636

• A108851B

  Whole genome sequencing for single cells for library A108851B 1681 cells; filetype=bam

  Dataset EGAD00001007596

• A108870A

  Whole genome sequencing for single cells for library A108870A 1795 cells; filetype=bam

  Dataset EGAD00001007598

• 59 CLPD-NK cases WGS & WTS data

  For the cohort of 59 samples, we performed TruSeq DNA PCR-Free whole-genome sequencing library preparation according to manufacturer’s instructions (llumina, ILMN, San Diego, CA) on the automated NGS Star liquid handling platform (Hamilton, Bonaduz, Switzerland) followed by 2x150 bp paired-end sequencing on the HiSeqX or NovaSeq6000 (ILMN). An average coverage of >100x was achieved. For whole transcriptome analysis, the TruSeq Total Stranded RNA kit was used, starting with 250 ng of total RNA, to generate RNA libraries following the manufacturer’s recommendations (ILMN). 2x100bp paired-end reads were sequenced on the NovaSeq 6000 with a median of 50 mio. reads per sample (ILMN).

  Dataset EGAD00001008558

• A95724B

  Whole genome sequencing for single cells for library A95724B 581 samples; filetype=bam

  Dataset EGAD00001008230

• A96172A

  Whole genome sequencing for single cells for library A96172A 1476 samples; filetype=bam

  Dataset EGAD00001008240

• A95724A

  Whole genome sequencing for single cells for library A95724A 503 samples; filetype=bam

  Dataset EGAD00001008229

• A96146A

  Whole genome sequencing for single cells for library A96146A 1195 samples; filetype=bam

  Dataset EGAD00001008233

• A96149B

  Whole genome sequencing for single cells for library A96149B 1792 samples; filetype=bam

  Dataset EGAD00001008235

• A96162B

  Whole genome sequencing for single cells for library A96162B 1316 samples; filetype=bam

  Dataset EGAD00001008238

• A96172B

  Whole genome sequencing for single cells for library A96172B 1694 samples; filetype=bam

  Dataset EGAD00001008241

• A96175C

  Whole genome sequencing for single cells for library A96175C 1473 samples; filetype=bam

  Dataset EGAD00001008243

• A96179B

  Whole genome sequencing for single cells for library A96179B 1396 samples; filetype=bam

  Dataset EGAD00001008245

• A96180B

  Whole genome sequencing for single cells for library A96180B 1189 samples; filetype=bam

  Dataset EGAD00001008246

• A96183C

  Whole genome sequencing for single cells for library A96183C 1036 samples; filetype=bam

  Dataset EGAD00001008247

• A96184A

  Whole genome sequencing for single cells for library A96184A 1733 samples; filetype=bam

  Dataset EGAD00001008248

• A96186A

  Whole genome sequencing for single cells for library A96186A 850 samples; filetype=bam

  Dataset EGAD00001008249

• A96186C

  Whole genome sequencing for single cells for library A96186C 525 samples; filetype=bam

  Dataset EGAD00001008250

• A96199B

  Whole genome sequencing for single cells for library A96199B 1170 samples; filetype=bam

  Dataset EGAD00001008251

• A96201A

  Whole genome sequencing for single cells for library A96201A 536 samples; filetype=bam

  Dataset EGAD00001008252

• A96205A

  Whole genome sequencing for single cells for library A96205A 1907 samples; filetype=bam

  Dataset EGAD00001008253

• A96210C

  Whole genome sequencing for single cells for library A96210C 1191 samples; filetype=bam

  Dataset EGAD00001008254

• A96211C

  Whole genome sequencing for single cells for library A96211C 1397 samples; filetype=bam

  Dataset EGAD00001008255

• A96215A

  Whole genome sequencing for single cells for library A96215A 1312 samples; filetype=bam

  Dataset EGAD00001008256