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• Somatic mutations in angiosarcoma

  Here we present the genomes of three secondary angiosarcomas

  Dataset EGAD00001000735

• Melanoma post mortem analysis

  Despite multiple large-scale sequencing studies offering substantial insight into the genomic landscape of cutaneous melanoma, the molecular events surrounding disease progression and the resulting molecular heterogeneity between metastases have not been fully elucidated. We have been applying whole genome and transcriptome sequencing across metastases collected during post mortem. Herein we show the findings for the first such patient. This is a targeted pulldown validation in support of the whole-genome sequencing analysis of the metastatic tumours and targeted pulldown of the primary tumour.

  Dataset EGAD00001005073

• Quantitative Exploratory Proteomics Analysis of Glioblastoma in Initial and Recurrent Tumors

  Shotgun Proteomics; Glioblastoma samples from 11 patients were obtained at initial and recurrent tumor stages. Proteins were extracted, identified and quantified via tandem mass spectrometry based on a TMT isobaric labelling approach. Quatitative proteomics reveals 146 differentially abundant proteins using a patient-matched statistical modelling. Analysis of proteolytic processing reveals differential proteolytic patterns in recurrent tumors. Proteogenomics reveals the presense of 30 single-amino acid variants present in glioblastoma tumor and 1 of those as increased in recurrent tumor.

  Dataset EGAD00010002350

• Multi-omic dataset utilized in the analysis of a phase II study of epigenetic priming followed by nivolumab in lung cancer

  This dataset includes sequence files from whole exome sequencing and bulk RNA sequencing of tissue and blood biospecimens from a phase II clinical trial investigating epigenetic priming followed by immune checkpoint blockade in non-small cell lung cancer (NSCLC; NCT01928576). There are 78 whole exome sequencing files and 36 bulk RNA sequencing files included in this dataset.

  Dataset EGAD50000001336

• Combined Telomerase Vaccination and Pembrolizumab in Advanced Melanoma: WES and RNA sequencing of biopsies from a Phase I Trial

  This dataset contains whole-exome and RNA sequencing of biopsies obtained from patients enrolled in a phase I clinical trial investigating the UV1 vaccine in combination with pembrolizumab in patients with advanced melanoma.

  Dataset EGAD00001011074

• RNA_TPO3_2023

  Human engineered CRC organoids (APC KO; KRAS G12D; TP53 KO) were grown in either glucose or lactate, in the presence and absence of DCA or BRD4 inhibition (JQ1). Samples were collected and processed for bulk RNA-seq.

  Dataset EGAD50000000089

• Tumor Profiler Project - AML bulk transcriptomics data

  The dataset contains bulk transcriptomics data from 23 patients with Acute Myeloid Leukemia (AML). Samples were collected from bone marrow or blood. Sequencing was performed in paired-end mode and sequencing data is provided in fastq format.

  Dataset EGAD50000000822

• Tumor Profiler Project - AML scDNA data

  The dataset contains single-cell DNA seq data from 21 patients with Acute Myeloid Leukemia (AML). Samples were collected from bone marrow or blood. Sequencing was performed in paired-end mode and sequencing data is provided in fastq format.

  Dataset EGAD50000000824

• RNA isoform diversity, splicing variants, and switching in single cells of the Alzheimer’s disease brain

  Paired 10X 3' single-nucleus RNA sequencing with PacBio Kinnex long-read sequencing in 7 control and 8 Alzheimer's disease human frontal cortex samples.

  Dataset EGAD50000002124

• Molecular determinants of outcomes in relapsed mantle cell lymphoma treated with ibrutinib or temsirolimus in the MCL3001 (RAY) trial

  234 BAM files containing capture data of MCL tumours and constitutive DNA

  Dataset EGAD00001008975

• Transcriptome analysis of Treg cells from blood, fat, liver and skin

  Tcells were isolated fom Tissues and FACS sorted. In total 43 samples were processed in 5 replicates with the Takara SmartSeq Stranded kit. Single end fastq-files are supplied.

  Dataset EGAD00001007664

• Spatial transcriptomics reveals immune and tissue remodeling, highlighting diverse host responses across mycobacterial granuloma types

  Granulomas are the hallmark of Mycobacterium infections, forming structured immune environments that drive disease persistence. However, their spatial and functional organization remains unclear. Using spatial RNA sequencing on 33 patient explants, we try to reveal the detailed gene expression and cell composition landscape of granulomas.

  Dataset EGAD50000001462

• Single cell RNA seq component of ATAC-RNA multiome analysis of a four weeks post conception embryo head

  Four single-cell RNA libraries were generated from an unbiased sample of cells of a human four weeks post conception embryo using the 10X Chromium Single-Cell Instrument and NextGEM Single Cell Multiome ATAC+Gene Expression kit (10X Genomics) according to the manufacturer’s protocol.

  Dataset EGAD50000001501

• Single cell ATAC seq component of ATAC-RNA multiome analysis of a four weeks post conception embryo head

  Four single-cell ATAC libraries were generated from an unbiased sample of cells of a human four weeks post conception embryo using the 10X Chromium Single-Cell Instrument and NextGEM Single Cell Multiome ATAC+Gene Expression kit (10X Genomics) according to the manufacturer’s protocol.

  Dataset EGAD50000001502

• Whole-genome sequencing data of metastatic salivary gland cancer

  This dataset contains whole-genome sequencing data of three patients with metastatic salivary gland cancer who underwent autopsy to harvest tumor biopsies from spatially separated metastatic sites and biopsies from healthy skin as a control. Two patients had the subtype adenoid cystic carcinoma (patients 1 and 4) and one patient had the subtype myoepithelial carcinoma.

  Dataset EGAD50000002056

• WGS of 50 Intellectual Disability (ID) trios with Complete Genomics Sequencing. Dataset of sample: BvB15_M

  50 trios were whole genome sequenced with Complete Genomics to a depth of 80x. For each trio the child was affected with severe ID, and the parents were unaffected. All trios were negative for array, targeted gene and whole exome screening. Dataset consists of sample: BvB15_M

  Dataset EGAD00001001699

• WGS of 50 Intellectual Disability (ID) trios with Complete Genomics Sequencing. Dataset of sample: BvB25_C

  50 trios were whole genome sequenced with Complete Genomics to a depth of 80x. For each trio the child was affected with severe ID, and the parents were unaffected. All trios were negative for array, targeted gene and whole exome screening. Dataset consists of sample: BvB25_C

  Dataset EGAD00001001715

• WGS of 50 Intellectual Disability (ID) trios with Complete Genomics Sequencing. Dataset of sample: BvB28_M

  50 trios were whole genome sequenced with Complete Genomics to a depth of 80x. For each trio the child was affected with severe ID, and the parents were unaffected. All trios were negative for array, targeted gene and whole exome screening. Dataset consists of sample: BvB28_M

  Dataset EGAD00001001723

• WGS of 50 Intellectual Disability (ID) trios with Complete Genomics Sequencing. Dataset of sample: BvB4_F

  50 trios were whole genome sequenced with Complete Genomics to a depth of 80x. For each trio the child was affected with severe ID, and the parents were unaffected. All trios were negative for array, targeted gene and whole exome screening. Dataset consists of sample: BvB4_F

  Dataset EGAD00001001755

• WGS of 50 Intellectual Disability (ID) trios with Complete Genomics Sequencing. Dataset of sample: BvB23_M

  50 trios were whole genome sequenced with Complete Genomics to a depth of 80x. For each trio the child was affected with severe ID, and the parents were unaffected. All trios were negative for array, targeted gene and whole exome screening. Dataset consists of sample: BvB23_M

  Dataset EGAD00001001711

• WGS of 50 Intellectual Disability (ID) trios with Complete Genomics Sequencing. Dataset of sample: BvB50_M

  50 trios were whole genome sequenced with Complete Genomics to a depth of 80x. For each trio the child was affected with severe ID, and the parents were unaffected. All trios were negative for array, targeted gene and whole exome screening. Dataset consists of sample: BvB50_M

  Dataset EGAD00001001759

• WGS of 50 Intellectual Disability (ID) trios with Complete Genomics Sequencing. Dataset of sample: BvB51_C

  50 trios were whole genome sequenced with Complete Genomics to a depth of 80x. For each trio the child was affected with severe ID, and the parents were unaffected. All trios were negative for array, targeted gene and whole exome screening. Dataset consists of sample: BvB51_C

  Dataset EGAD00001001760

• WGS of 50 Intellectual Disability (ID) trios with Complete Genomics Sequencing. Dataset of sample: MW14_F

  50 trios were whole genome sequenced with Complete Genomics to a depth of 80x. For each trio the child was affected with severe ID, and the parents were unaffected. All trios were negative for array, targeted gene and whole exome screening. Dataset consists of sample: MW14_F

  Dataset EGAD00001001788

• WGS of 50 Intellectual Disability (ID) trios with Complete Genomics Sequencing. Dataset of sample: BvB1_F

  50 trios were whole genome sequenced with Complete Genomics to a depth of 80x. For each trio the child was affected with severe ID, and the parents were unaffected. All trios were negative for array, targeted gene and whole exome screening. Dataset consists of sample: BvB1_F

  Dataset EGAD00001001701

• WGS of 50 Intellectual Disability (ID) trios with Complete Genomics Sequencing. Dataset of sample: BvB27_M

  50 trios were whole genome sequenced with Complete Genomics to a depth of 80x. For each trio the child was affected with severe ID, and the parents were unaffected. All trios were negative for array, targeted gene and whole exome screening. Dataset consists of sample: BvB27_M

  Dataset EGAD00001001720