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• Single-cell Multi-omics Sequencing of Human Early Embryos

  The whole blood of six female volunteers and sperm from one male volunteer were used to extract genomic DNA using a DNeasy Blood & Tissue Kit (QIAGEN). 500 ng gDNA was fragmented into 300 bp by Covaris. Then, the libraries were constructed using a KAPA Hyper Prep Kit (Kapa Biosystems). In total we have 7 samples and the files we uploaded are pair-end fastq files.

  Dataset EGAD00001004108

• GoNL release 5 raw SNV calls

  These files contain a total of 20.4M SNVs and the complete information output by the GATK UnifiedGenotyper v1.4 on all 767 GoNL samples. These calls are not trio-aware and all genotypes were reported regardless of their quality. Both filtered and passing calls are reported in these files. Filtered calls include (1) calls failing our VQSR threshold and (2) calls in the GoNL inaccessible genome.

  Dataset EGAD00001000743

• Methylation profiling by MCC-Seq of visceral fat (N=199) and whole-blood (N=206) derived from IUCPQ participants

  The study includes NGS-based methylC-capture sequencing (MCC-Seq) on 199 visceral adipose tissue and 206 whole-blood DNA samples derived from obese individuals (BMI >40 kg m-2) in the IUCPQ cohort. We generated 100bp paired-end reads using the Illumina HiSeq2000 or 2500 systems.

  Dataset EGAD00001004787

• MiRNome_pituitary_adenoma

  Small RNA (<100 bases in length) were purified from total RNA using miRNeasy kit (Qiagen), then sequenced. Libraries were prepared at the Genomics Platform of the Cochin Institute, following the TruSeq small RNA protocol (Illumina), starting from 1 µg of high quality total RNA. Single read (1 × 75 bp) sequencing was performed on a Nextseq 500 platform (Illumina). FASTQ sequences were aligned on miRBase v.2052, then counted with STAR (v.2.5.2a).

  Dataset EGAD00001004998

• RNA-Seq of response to Tozinameran vaccination in individuals with KTx/dialysis or healthy controls.

  Low-input RNA-Seq (~200 cells per sample) of CD4+ T cells in patients with kidney transplants, dialysis, or healthy controls after the second dose of Tozinameran COVID-19 vaccine. RNA-Seq was performed using the Smart-Seq v4 ultra-low input protocol. The dataset includes 4 healthy control samples, 3 kidney transplant recipients, and 4 patients undergoing dialysis.

  Dataset EGAD00001007689

• low pass WGS of patient from the CN300 cohort

  We copy number profiled 688 tumor regions from 300 patients presenting with advanced prostate cancer and prospectively followed-up (median, 7 years) in the control group of the STAMPEDE trial. Patients were categorised into four metastatic states, namely high-risk non-metastatic (with or without local lymph node involvement) or metastatic (low or high volume).

  Dataset EGAD00001008800

• Paired RNA-Seq of four patients with advanced Parathyroid carcinoma (PC)

  Paired RNA-Seq of four patients with advanced Parathyroid carcinoma (PC). The library was prepared using the Illumina TruSeq stranded mRNA Kit, the sequencing was done either on an Illumina HiSeq 4000 or on Illumina NovaSeq 6000.

  Dataset EGAD00001009730

• Single RNA-Seq of CD11b Beads selected tumor associated macrophages (TAMs) of 3 gliomablastoma patients treated with small molecule inhibitors

  Single RNA-Seq of CD11b Beads selected tumor associated macrophages (TAMs) of 3 gliomablastoma patients treated with small molecule inhibitors. The sequencing was done on HiSeq 4000 with the SmarTer Ultra Low Input RNA v4 and NEBNext ChIP-Seq Kit. The TAMs were treated with GW2580, BLZ945 and PLX3397 and DMSO as control.

  Dataset EGAD00001011273

• EXPRESSION OF ANTIBODY-DRUG CONJUGATE TARGETS IN BREAST CANCER METASTASES AND NORMAL TISSUE

  Using bulk mRNA sequencing, we investigated the expression of 72 ADC targets, which are clinically approved or under investigation, in 909 samples (64 primary untreated, 749 metastatic, 96 normal) from 30 female patients from our post-mortem tissue donation program UPTIDER (NCT04531696). The study explores changes in target expression across multiple samples to identify novel targets of clinical interest and validation

  Study EGAS50000001334

• Molecular and cellular composition changes after neoadjuvant letrozole and palbociclib in early luminal breast cancer

  The NeoPAL trial compared neoadjuvant letrozole-palbociclib (LP) with chemotherapy (CT) in 103 patients with high-risk early luminal breast cancer. Deconvolution of bulk RNA-seq data revealed that myoepithelial cells, normal-like fibroblasts, FOLR2+ macrophages and SELL+ CD4+ T lymphocytes accumulated after treatment (p: 0.046 to 7.2e-07). All changes were similar between the LP and CT arms.

  Study EGAS50000001021

• scRNA-seq data of FOXN1heterozygous patients and cord blood

  Single cell sequencing was performed from sorted CD45+ lymphocytes from two FOXN1het patients and one cord blood sample from frozen cryopreserved samples to undestand the shifts in immune cell populations in pateints with FOXN1 heterozygous deficiency. Each sorted population was labelled individually via multiplexing antibodies with subsequent Abseq staining before pooling and conducting the BD Rhapsody pipeline to generate scRNA-seq data.

  Study EGAS50000001199

• RNA-seq of CRC patient-derived xenograft tumors

  We developed a novel antibody-drug conjugate (ADC), 84-EBET. To analyze mechanism of action of 84-EBET, we obtained bulk RNA-seq data of the patient-derived xenograft (PDX) model derived from colorectal cancer (CRC) patient. The PDX model was treated with 5-fluorouracil + oxaliplatin, 84-EBET or vehicle, and then gene expression changes were analyzed with bulk RNA-seq.

  Study EGAS50000000598

• Renal Cancer Exome Sequencing

  Agilent whole exome hybridisation capture will be performed on genomic DNA derived from 25 renal cancers and matched normal DNA from the same patients. Three lanes of Illumina GA sequencing will be performed on the resulting 50 exome libraries and mapped to build 37 of the human reference genome to facilitate the identification of novel cancer genes.

  Dataset EGAD00001000014

• Familial_Thrombocytosis_germline_exome_sequencing

  Agilent whole exome hybridisation capture will be performed on genomic DNA derived from 3 relatives from a family with multiple affected familial thrombocytosis (FT) patients. Germline DNA from 2-4 patients affected with FT will be used to prepare libraries and sequenced in one lane of HiSeq sequencing, mapped to build 37 of the human reference genome to facilitate the identification of novel cancer genes.

  Study EGAS00001000088

• 16S rRNA gene amplification and maternal factors

  Human breast milk contains a diverse community of bacteria but factors that produce variation in the breast milk microbiome are largely unknown. We evaluated if 1) maternal factors including breastfeeding practices modified the diversity and abundance of bacterial communities in breast milk and 2) if subclinical mastitis (SCM), an asymptomatic inflammatory condition occurring during lactation, induced a distinctive microbiota signature.

  Study EGAS00001003044

• Whole-exome sequencing of PTC, benign nodule and normal tissues in 28 patients

  In order to comprehensively investigate the genetic relationship between PTC tumors and benign nodules, we totally collected 127 fresh-frozen biopsies samples from 28 patients with concurrent thyroid benign nodule and PTC (n=20) or simple benign nodule (n=8). We carried out whole-exome sequencing on all the 127 biopsies samples and RNA-sequencing in total of 40 samples.

  Study EGAS00001002312

• Analysis of transcriptomic profiles from affected and recovered muscle biopsies from children with reversible infantile respiratory chain deficiency.

  All patients carry mitochondrial mutation m.14674T>C but not must also carry mutations in related genes such as TRMU and EARS2. Analysis compares muslce biopsies of affected patients to controls, a patient after recovery to themselves during the the disease phase, and compared patients with additional EARS2 mutations to patients without pathogenic EARS2 mutations.

  Study EGAS00001004647

• Leeds Melanoma Cohort (LMC) gene expression study

  Array-based profiling (whole genome DASL HT12.4, Illumina Inc) in over 700 FFPE tumour blocks from the population-based Leeds Melanoma cohort recruited in the North of England, with a long follow up. Data used in tumour immune micro-environment investigation (Nsengimana et al 2018, J Clin Invest doi: 10.1172/JCI95351).

  Study EGAS00001002922

• Somatic_mutation_in_skin_epidermis__SMS_

  We aim to assess the range and depth of mutations in genes linked with cancer in skin epidermis surrounding lesions which are undergoing surgical removal. Patient history will be collected to provide a detailed outline of tumour type (including histology), skin type, and sunlight exposure. We will perform ultra-deep targeted sequencing using genes implicated in cancer to try and understand the background of mutations surrounding these lesions

  Study EGAS00001002165

• Single-cell RNA sequencing on single CD45+ immune cells isolated from peripheral blood, lymphnode, ascites, tumour and adjacent normal tissues from six hepatocellular carcinoma patients.

  Single-cell RNA sequencing on single CD45+ immune cells isolated from peripheral blood, lymphnode, ascites, tumour and adjacent normal tissues from six hepatocellular carcinoma patients. The transcriptional properties of these individual cells, were used to delineate the molecular subtypes, lineage, and functional properties of each cell group

  Study EGAS00001003449

• SDH_deficient_renal_tumours___WGS_

  Succinate dehydrogenase (SDH) deficient renal cancers are a rare and understudied subtype of renal cancer. As such they represent an unmet need in kidney cancer research. Here, we seek to describe the genomics and transcriptomics of SDH deficient renal cancers by sequencing five such tumours. We document their mutational burden, define driver mutations, demonstrate typical patterns of structural variants, and estimate the cell of origin and cellular composition.

  Study EGAS00001004102

• The molecular landscape of colorectal cancer reveals genetic mutations - COCA-CN

  We collected tumor samples and adjacent nomal mucosae from 46 patients with colorectal cancer in surgical operation from 2014 to 2016 in the First Affiliated Hospital of Chongqing Medical University (Chongqing, China) and the Research Institute of Surgery, Third Military Medical University (Chongqing, China). the qualified captured library of each sample was then loaded on Illumina HiSeq 2000 (Illumina, San Diego, CA) platforms and subjected to high-throughput sequencing.

  Dataset EGAD00001003304

• Role of cohesin/CTCF in human monocyte differentiation

  Here we study genome architecture in a postmitotic differentiation setting, the differentiation of human blood monocytes (MO). We profiled and compared epigenetic, transcriptome and 3D conformation landscapes during MO differentiation (either into dendritic cells or macrophages) across the genome, with and without siRNA-mediated depletion of RD21 or CTCF, and detected numerous architectural changes, ranging from higher level compartments

  Study EGAS00001005508

• Gene expression profiles of single disseminated breast cancer cells

  A set of 56 EpCAM-positive cells derived from bone marrow aspirates of breast cancer patients or patients without a cancererous disease (30 cells from 21 M0-stage and 11 cells from five M1-stage breast cancer patients, 15 cells from seven non-cancer patients serving as controls). EpCAM-positive cells from breast cancer patients were considered disseminated tumor cells as they harbored copy number alterations and showed high expression of the epithelial marker EpCAM and the mammary luminal progenitor marker KIT in comparison to EpCAM-positive bone marrow cells from non-cancer patients. Paired-end RNA-Sequencing of the samples was performed on Illumina NovaSeq6000, raw data are provided in the Fastq format.

  Dataset EGAD00001006359

• Proteomic Characterization of Intrahepatic Cholangiocarcinoma Identifies Risk-Stratifying Subgroups, Proteins Associated with Time-To-Recurrence, and mTOR Effector Molecule EIF4A1 as a Druggable Therapeutic Target

  Using mass spectrometry-based proteomics, we analyzed two independent cohorts comprising 80 and 62 treatment-naive ICC tumors, 67 adjacent non-malignant tissues, and 9 patient-derived xenografts (PDX). In the first cohort, we identifed two subclusters with distinct times-to-recurrence (TTR). A 4-protein classifier trained on our data cohort accurately stratifies these ICC clusters in the Dong et al. dataset (2022) and in our independent second cohort, revealing similar associations between proteomic motifs and clinical outcomes. The Translation regulator EIF4A1 emerges as a therapeutic target, as its inhibition with novel drug eFT226 significantly reduces tumor growth in an ICC PDX model.

  Study EGAS50000001343