13384 results for ""pdc"+"heritage+language"+census+study"

in 45.26 milliseconds.

• Gastric_Mutational_Signatures__GMS_

  This study aims to characterise the mutation burdens and signatures of adult stem cells derived from different regions of the stomach in order to gain insight into the causes and preclinical evolution of the diverse cancer subtypes. Clonal populations of cells from different anatomical locations of the stomach will be derived through organoid culture and/or laser microdissection and interrogated by whole genome sequencing and/or targeted pulldown. A total of circa 300 samples from 20 – 30 donors (cancer and non-cancer patients undergoing total/partial gastrectomy) will be analysed for mutational burden and signatures and genomic findings correlated with topology, age, risk factors and different stages of pre-neoplastic or neoplastic progression.

  Study EGAS00001002939

• Gastric_Mutational_Signatures__GMS_

  This study aims to characterise the mutation burdens and signatures of adult stem cells derived from different regions of the stomach in order to gain insight into the causes and preclinical evolution of the diverse cancer subtypes. Clonal populations of cells from different anatomical locations of the stomach will be derived through organoid culture and/or laser microdissection and interrogated by whole genome sequencing and/or targeted pulldown. A total of circa 300 samples from 20 – 30 donors (cancer and non-cancer patients undergoing total/partial gastrectomy) will be analysed for mutational burden and signatures and genomic findings correlated with topology, age, risk factors and different stages of pre-neoplastic or neoplastic progression.

  Study EGAS00001002938

• WES analysis in identifying additive genetic factors that may contribute to the occurrence of moyamoya in neurofibromatosis type 1

  Moyamoya is a progressive cerebral vasculopathy, for which genetic susceptibility factors were mainly identified in Asian populations. When associated with other medical conditions, such as neurofibromatosis type 1 (NF1), this vasculopathy is frequently reported as Moyamoya syndrome (MMS). Intriguingly, most cases of MMS-complicated NF1 have been described in Caucasians, inverting the population ratio for moyamoya vasculopathy observed in Asians, despite NF1 prevalence being constant worldwide. This study aims to investigate whether, among Caucasians, additive genetic factors may contribute to the occurrence of MMS in NF1. WES analysis has been carried out on an Italian family with co-occurrence of NF1 and MMS, as well as other cerebral vasculopathies.

  Study EGAS00001003053

• STREP GENE: Genetics and Severe Streptococcal Infections

  This study investigated host genetic susceptibility to invasive group A streptococcal disease in the UK. Cases were either survivors recruited retrospectively through a patient group or identified from the a tissue bank at Imperial College London. Those recruited through the patient group had survived an episode of invasive GAS disease at a UK hospital since 1980 with microbiological confirmation obtained either through Public Health England or from the treating hospital. Those identified from the tissue bank had been diagnosed with invasive GAS disease at the Hammersmith Hospital, London, UK, since 2006. All cases aged less than 65 years without long-term medical conditions genome-wide genotyped using either the Illumina HumanCore or the Global Screening Array platform.

  Study EGAS00001003421

• South Asia Rheumatic Heart Disease Genetics Network

  Rheumatic heart disease (RHD) is a major cause of cardiovascular death and disability amongst young adults. Building on a sample collection established for and genotyped in several earlier successful candidate gene studies, this case-control study investigated host genetic susceptibility to RHD using a genome-wide approach. The current dataset comprises over 850 individuals recruited in Uttar Pradesh, India, including cases of RHD based on echocardiographic diagnosis and controls recruited on the basis of normal echocardiograms. For this analysis all available samples were genotyped using the Illumina HumanCore-24 BeadChip platform. Efforts are now underway to establish new sample collections in other areas of India as well as Pakistan and later other neighbouring countries.

  Study EGAS00001003565

• Guardians_of_the_genome__protecting_DNA_from_endogenous_sources_of_damage_

  Analysis of mutational signatures caused by DNA repair defects in human induced pluripotent stem (iPS) cells. A reference human iPS cell line will be used for genetic manipulation to introduce homozygous knockouts of 100 genes known to be involved in or connected to DNA repair or DNA editing. Following a defined period of growth after homozygous knockout of each gene, sub clones will be generated and sequenced. The progenitor “parental” IPS cell line will be used to generate reference sequence data, in order to determine the mutational signature acquired due to the gene knockout. This is a pilot study to investigate the effects of oxygen conditions and growth period on mutations acquired

  Study EGAS00001000874

• Autoimmunity_and_immunodeficiency_COVID19

  Cell Atlas of COVID-19 patients with Pre-existing Autoimmunity and Immunodeficiency conditions COVID-19 disease is characterized by hyperinflammation of the lungs and poor immune response against the virus, leading to acute respiratory distress syndrome. Patients with pre-existing medical conditions strongly correlated with poorer clinical outcomes upon SARS-CoV-2 infection. This study aims to characterize the cellular response to SARS-CoV-2 infection in controls and in patients with primary immunodeficiency and autoimmune disease. This data is part of a pre-publication release. For information on the proper use of pre-publication data shared by the Wellcome Trust Sanger Institute (including details of any publication moratoria), please see http://www.sanger.ac.uk/datasharing/

  Study EGAS00001004489

• EPIC arrays data for chemotherapy response project

  In this study, a total of 300 patients with MIBC receiving chemotherapy were included; 62 received NAC before cystectomy and 245 received first-line chemotherapy upon detection of locally-advanced (T4b) or metastatic disease. Treatment response, defined as pathological downstaging (< pTa,CIS,N0) after NAC or complete or partial response after first-line treatment (RECIST criteria). DNA methylation analysis was performed using DNA from 72 patients. We used 500 ng genomic DNA for bisulfite conversion followed by whole-genome amplification prior to hybridization to EPIC BeadChip (Illumina, San Diego, CA) overnight as described by the manufacturer and then scanned with the Illumina iSCAN system. Data provided here consist of 144 idat files.

  Study EGAS00001004515

• Macrophage response in preterm infants compared to term infants

  Preterm infants are highly susceptible to sustained lung inflammation, which may be triggered by exposure to multiple environmental cues such as supplemental oxygen (O2) and infections. The underlying mechanisms are still poorly understood. The hypothesis of this study is that dysregulated macrophage activation is a key feature leading to inflammation-mediated development of bronchopulmonary dysplasia (BPD) in preterm infants. Cord blood samples of preterm infants (n=14) and term infants (n=19) as well as peripheral blood from healthy adults (n=17) were collected. Age-dependent differences in immune responses of monocyte-derived MФ from preterm infants were characterized and compared to term infants and adults after lipopolysaccharide (LPS) exposure.

  Study EGAS00001004974

• Understanding_the_multicellular_dynamics_of_clear_cell_renal_cell_carcinoma___visium

  This study will reconstruct the single cellular phylogeny of tumour and immune cells in relation to both genomic, functional, and spatial location. 20 tumours in total will be studied, including non-progressing small renal masses, progressing small renal masses, relatively indolent larger tumours, and high risk tumour with metastatic sampling. We aim to: Generate a focused, comprehensive phylogenetic characterisation of tumour cells Understand the dependencies of the cancer genome, transcriptome, tissue architecture and the single cellular micro-environment Quantify the single cellular composition and functional intra- and inter- tumoural heterogeneity Determine the phylogeny of tumour associated lymphocytes and their relationship to neo-epitopes and the immune microenvironment Investigate the mechanisms by which the tumour-normal interface constrains tumoural growth.

  Study EGAS00001006045

• Reliable assessment of telomere maintenance mechanisms in neuroblastoma

  Telomere maintenance mechanisms (TMM) are a hallmark of high-risk neuroblastoma, and are conferred by activation of telomerase or alternative lengthening of telomeres (ALT). However, detection of TMM is not yet part of the clinical routine, and consensus on TMM detection, especially on ALT assessment, remains to be achieved. We here propose a workflow to reliably detect TMM in neuroblastoma. We show that unambiguous classification is feasible following a stepwise approach that determines both, activation of telomerase and ALT. The workflow proposed in this study can be used in clinical routine and provides a framework to systematically and reliably determine telomere maintenance mechanisms for risk stratification and treatment allocation of neuroblastoma patients.

  Study EGAS00001006510

• Transcriptomic analysis of cell-of-origin CNS neuroblastoma, FOXR2 activated

  The transcription factor FOXR2 is the universal driver of childhood central nervous system neuroblastoma, FOXR2 activated (NB-FOXR2). NB-FOXR2 tumors arise exclusively in the brain hemispheres, and despite morphological similarities to other pediatric brain tumors, they are a molecularly distinct entity based on DNA methylation profiling. The cell-of-origin is unknown. Here, we profiled a cohort of rare NB-FOXR2 tumors by bulk and single-cell transcriptomics. Through systematic comparative analyses, we delineate tumor transcriptional states and candidate cell-of-origin. More broadly, we demonstrate systematic molecular profiling of childhood cancers to orient oncogenic targeting for in vivo modeling, a critical resource for the study of rare tumors and development of therapeutics.

  Study EGAS00001007247

• An exome sequencing study of the HIV elite-long term non progressors and rapid progressors (CASCADE cohorts)

  Background: A rare subgroup of HIV infected individuals naturally controls infection without treatment. These ?elite controllers? constitute an important model for the natural control of HIV infection. Indeed, the study of these individuals may provide insights into strategies for the development of HIV vaccines. Although several HLA and chemokine alleles are known to be over-represented in elite controllers, only a small portion of HIV phenotypic variation is explained by known genetic variants. The elite controller phenotype is rare and distinct, representing the extreme of an infectious disease trait. As such, this phenotype may be partly explained by variation in host immune control, which may be characterized by differences in rare functional genetic variants. Genomic regions underlying elite control can be potentially identified by comparing the presence or frequency of variants in this group to that representing the opposite extreme. In this context, ?rapid progressors? is a group defined by its rapid immunological and clinical disease progression. Aim: To extend an existing study, in order to identify DNA sequence variants involved in the control of HIV infection with greater statistical resolution. Specifically, we aim to sequence up to 200 exomes from multiple cohort studies within the EuroCoord CASCADE collaboration (a collaboration of 25 HIV seroconversion cohort studies across Europe).

  Dataset EGAD00001002179

• Mult-omics Palbociclib Resistance Study in HR+/HER2– Metastatic Breast Cancer

  This study is multi-omics study of a Asian longitudinal metastatic breast cancer (MBC) cohort treated with palbociclib plus endocrine therapy. It contains NGS of baseline (BL) and progressive disease (PD) from 70 patients, consisting of 79 tumor/normal matched whole exome sequencing (WES) from 62 patients and 90 tumor whole transcriptome sequecing samples (WTS) from 70 patients. There were 56 BL biopsies profiled by WES and 64 by WTS; 23 PD biopsies were profiled by WES and 26 by WTS. Twenty and 23 patients had paired BL and PD biopsies profiled by WES and WTS, respectively.

  Dataset EGAD00001008314

• Dual spatially resolved transcriptomics for human host-pathogen colocalization studies in FFPE tissue sections

  Technologies to study localized host-pathogen interactions are urgently needed. Here, we present a spatial transcriptomics approach to simultaneously capture host and pathogen transcriptome-wide spatial gene expression information from human formalin-fixed paraffin-embedded (FFPE) tissue sections at a near single-cell resolution. We demonstrate this methodology in lung samples from COVID-19 patients and validate our spatial detection of SARS-CoV-2 against RNAScope and in situ sequencing. Host-pathogen colocalization analysis identified putative modulators of SARS-CoV-2 infection in human lung cells. Our approach provides new insights into host response to pathogen infection through the simultaneous, unbiased detection of two transcriptomes in FFPE samples.

  Study EGAS00001006186

• DAC for "Identification and characterization of tertiary lymphoid structures in brain metastases"

  This is the DAC for the study "Identification and characterization of tertiary lymphoid structures in brain metastases" of Prof. Dr. Guido Reifenberger (Guido.Reifenberger@med.uni-duesseldorf.de)

  Dac EGAC50000000369

• HeLa S3 (CCL-2.2) HiC Sequencing

  HiC chromatin conformation sequencing was performed for the purpose of chromosome fusion and structural rearrangement identification.

  Study phs000665

• DAC for "Drug Development against Tumor Microtube Networks in Glioblastoma"

  This is the DAC for the study "Drug Development against Tumor Microtube Networks in Glioblastoma" of Dirk C. Hoffmann, Dirk.Hoffmann@dkfz.de and Frank Winkler, Frank.Winkler@med.uni-heidelberg.de

  Dac EGAC50000000326

• Whole genome sequencing analysis of hepatoblastoma

  Whole genome sequencing analysis of pediatiric liver tumor, hepatoblastoma, and their genomic and epigenomic features.

  Study JGAS000156

• Whole exome sequencing of surgically resected lung adenocarcinomas and gastric adenocarcinomas.

  We performed whole exome sequencing of surgically resected lung adenocarcinomas and gastric adenocarcinomas.

  Study JGAS000216

• Comprehansive analysis of somatic mutations and genetic variations with whole genome sequencing

  Indetification of stractural variations by using of long read whole genome sequencing data

  Study JGAS000516

• Spatial Transcriptomic data from Invasive lobular breast carcinoma (ILC)

  Spatial transcriptomic data from Invasive lobular breast carcinoma (ILC) Djerroudi et al, Nature Communication

  Study EGAS50000001735

• DIS3 licenses B cells for physiological plasma cell differentiation in humans

  DIS3 licenses B cells for physiological plasma cell differentiation in humans

  Study EGAS50000000853

• Whole exome sequencing of prDLBCL

  To investigate the mutational landscape of prDLBCL, 34 cases were selected for whole exome sequencing.

  Study EGAS50000000403

• The evolution of ovarian high grade serous carcinoma from STIC lesions

  We performed Ampliseq on 11 samples on a targeted panel of 17 genes.

  Study EGAS50000000361

• Highly similar genomic landscapes in monoclonal B-cell lymphocytosis and ultra-stable chronic lymphocytic leukemia with low frequency of driver mutations

  whole genome sequencing of MBL and CLL

  Study EGAS50000000434

• NICOLA Epigenetic Data Wave 1 - Beta values

  Beta values generated from Illumina EPIC methylation array data for a subset of NICOLA Wave 1 samples.

  Dataset EGAD50000001965

• RISE-UP Cohort

  The RISE-UP study contains raw metagenomic sequencing data of Crohn's disease patients. Paired-end sequencing was performed using the Illumina HiSeq 2000 platform.

  Dataset EGAD50000001436

• Breast Cancer bulk RNA-Seq Dataset

  Bulk RNA-Sequencing of 18 primary breast cancers from Wu et al. (2021) study.

  Dataset EGAD50000000649

• Exome sequencing of FFPE and patient-derived cultures

  Exome sequencing of FFPE and patient-derived cultures from patients enrolled in clinical study NCT03860376

  Dataset EGAD50000000245

• Dataset for central nervous system glioma samples

  This dataset contains VCF files for 124 central nervous system glioma samples for the study "Cerebrospinal fluid cfDNA sequencing for classification of central nervous system glioma"

  Dataset EGAD50000000085

• Transcriptome sequencing of FFPE and patient-derived cultures

  Transcriptome sequencing of FFPE and patient-derived cultures from clinical study NCT03860376

  Dataset EGAD50000000246

• cfDNA methylation dataset for colon cancer

  Enzymatic conversion-based methylation sequencing data (EM-seq) for colon cancer used in the MESA study

  Dataset EGAD50000000075

• DNA-Methylation data for atypical teratoid/rhabdoid tumoroids study

  We demonstrate that ATRT tumoroids retain subgroup-specific epigenetic and gene expression profiles

  Dataset EGAD00010002400

• MalariaGEN_Gambia-HLA_typing

  EGAS00001001311: Genome-wide study of resistance to severe malaria in eleven worldwide populations: Gambian trio HLA typing

  Dataset EGAD00010001818

• MalariaGEN_GWAS-2.5M_b37_aligned_phased

  EGAS00001001311: Genome-wide study of resistance to severe malaria in eleven worldwide populations: phased genotypes

  Dataset EGAD00010001748

• Tanzania_GWAS-2.5M_b37_2019

  EGAS00001001311: Genome-wide study of resistance to severe malaria in eleven worldwide populations:Tanzania

  Dataset EGAD00010001743

• Kenya_GWAS-2.5M_b37_2019

  EGAS00001001311: Genome-wide study of resistance to severe malaria in eleven worldwide populations:Kenya

  Dataset EGAD00010001742

• Malawi_GWAS-2.5M_b37_2019

  EGAS00001001311: Genome-wide study of resistance to severe malaria in eleven worldwide populations:Malawi

  Dataset EGAD00010001741

• Cameroon_GWAS-2.5M_b37_2019

  EGAS00001001311: Genome-wide study of resistance to severe malaria in eleven worldwide populations:Cameroon

  Dataset EGAD00010001740

• BurkinaFaso_GWAS-2.5M_b37_2019

  EGAS00001001311: Genome-wide study of resistance to severe malaria in eleven worldwide populations:BurkinaFaso

  Dataset EGAD00010001739

• Gambia_GWAS-2.5M_b37_2019

  EGAS00001001311: Genome-wide study of resistance to severe malaria in eleven worldwide populations:Gambia

  Dataset EGAD00010001738

• Mali_GWAS-2.5M_b37_2019

  EGAS00001001311: Genome-wide study of resistance to severe malaria in eleven worldwide populations:Mali

  Dataset EGAD00010001737

• Nigeria_GWAS-2.5M_b37_2019

  EGAS00001001311: Genome-wide study of resistance to severe malaria in eleven worldwide populations:Nigeria

  Dataset EGAD00010001736

• PNG_GWAS-2.5M_b37_2019

  EGAS00001001311: Genome-wide study of resistance to severe malaria in eleven worldwide populations:PNG

  Dataset EGAD00010001735

• Ghana_GWAS-2.5M_b37_2019

  EGAS00001001311: Genome-wide study of resistance to severe malaria in eleven worldwide populations:Ghana

  Dataset EGAD00010001734

• Vietnam_GWAS-2.5M_b37_2019

  EGAS00001001311: Genome-wide study of resistance to severe malaria in eleven worldwide populations:Vietnam

  Dataset EGAD00010001733

• WTCCC2 bacteraemia susceptibility replication samples

  A WTCCC2 project - replication study for bacteraemia susceptibility in 2518 individuals from Kenya, genotyped on the Illumina Immunochip chip.

  Dataset EGAD00010001509

• CPCG-200PG-ARRAY

  Raw Array data from the CPCGene 200PG study

  Dataset EGAD00010001218

• Angiosarcoma follow up study

  A bespoke targeted pulldown experiment will be performed on patients with Angiosarcoma. the resulting products will be sequenced to determine the prevalence of previously found mutations in these patients.

  Dataset EGAD00001000620

• HCC.GNE RNA-Seq

  RNA-Sequencing data (raw read sequences) for 23 samples, from 12 patients, for the study "Diverse modes of genomic alterations in Hepatocellular Carcinoma"

  Dataset EGAD00001000886

• Annotation file of DNA sequencing data and response

  Annotation file of DNA sequencing data of the pre-treatment biopsies in the PRADO trial and the response outcomes of the patients

  Dataset EGAD50000002547

• Single cell whole genome sequencing of 5 ovarian cancer specimens

  Single cell whole genome sequencing BAM files for five ovarian cancer specimens.

  Study EGAS50000001458

• Gene expression from human iPSC derived cortical neurons

  Gene expression from icas9 human iPSC derived cortical neurons treated with and without doxycycline

  Study EGAS00001004782

• Expressed_fusion_transcripts_in_rare_bone_tumours

  mRNA-Seq on total RNA from primary osteoblastomas and phosphaturic mesenchymal tumours, focussing on fusion transcript expression

  Study EGAS00001000763

• Pulldown_cytosine_deaminases

  We are looking at the causal factors behind hyper-mutator phenotypes found in previous Breast Cancer sequencing studies.

  Study EGAS00001000233

• Genomics_of_Colorectal_Cancer_Metastases___Massively_Parallel_Sequencing_of_Matched_Primary_and_Metastatic_tumours_to_Identify_a_Metastatic_Signature_of_Somatic_Mutations__MOSAIC_

  Exome pulldown and SNP6 Affymetrix array of matched primary and metastatic colorectal cancer samples from 20 patients

  Study EGAS00001000103

• Organoid_Derivation_Project__TGS

  Sequencing of tissue samples and their derived organoids from oesophageal, pancreatic and colorectal cancer patients.

  Study EGAS00001002221

• MMR (DNA mismatch repair) pathway in human samples

  This data are related to the manuscript by Germano et al. Ms2016-04-06029

  Study EGAS00001002694

• RNA-seq analysis of human primary keratinocytes and skin

  Bulk and single cell RNA-seq analysis of human keratinocyte and human skin

  Study EGAS00001002981

• FWO_project_G_0687_12_X10_WGS

  Profiling subclonal architecture and phylogeny in tumors by whole-genome sequence data mining and single-cell genome sequencing

  Study EGAS00001001145

• Whole genome and whole transcriptome sequencing of Hepatosplenic T Cell Lymphoma tumor.

  Whole genome and whole transcriptome sequencing of Hepatosplenic T Cell Lymphoma tumor.

  Study EGAS00001003775

• Amplicon–Based Metagenomic Analysis.

  Amplicon-based fungal metagenomic sequencing for the identification of fungal species in brain tissue from Alzheimer's disease. The study consists in 14 samples, sequenced using Illumina's paired-end technology.

  Dataset EGAD00001003196

• BS-seq in plasma of CRC patients

  We performed whole genome bisulfite sequencing of plasma DNA in 11 colorectal cancer patients to study the colonic DNA in plasma.

  Dataset EGAD00001004568

• Whole exome sequencing of PMBCL

  Whole exome sequencing of 8 PMBCL samples and paired normal samples and 14 unpaired PMCL samples.

  Study EGAS00001006235

• RNA sequencing of 12 NSCLC samples from 4 patients at MDACC

  Multi-region RNA sequencing of 12 NSCLC samples from 4 patients at MDACC

  Study EGAS00001005951

• Germline sequencing

  Detection of SNVs/indels in the germline of pediatric cancer patients with a focus on CHEK2 germline variants.

  Study EGAS00001006254

• Germline sequencing

  Detection of SNVs/ indels in the germline of pediatric cancer patients with a focus on CHEK2 germline variants

  Study EGAS00001006705

• RNAseq of paired primary and locally recurrent IDHwt GBM

  Perform RNAseq of paired primary and locally recurrent IDHwt GBM following standard treatment.

  Study EGAS00001006871

• Paired diagnostic and relapse medulloblastoma sequencing

  Whole exome and targeted panel sequencing in a cohort of paired diagnostic and relapse medulloblastoma samples.

  Study EGAS00001007120

• HCA_Immune_Adult_CIDP_RNA_Managed_Access

  Leveraging single-cell sequencing technologies to shed light on the immune aetiology of chronic inflammatory demyelinating polyradiculoneuropathy (CIDP)

  Study EGAS00001007419

• BGI study for primary and metastatic Chinese lung adenocarcinomas

  We sequenced 292 patients who were suffering NSCLC with Whole genome sequencing or Exome sequencing method.

  Dataset EGAD00001001397

• Whole genome SMRT sequencing in the HF-GBM-Tumor-Neurosphere-Xenograft study

  This data set consists of whole genome SMRT sequencing fastqs generated from 2 xenograft samples.

  Dataset EGAD00001002264

• ORCADES 15x (2019-07-23)

  15x whole genome sequencing in samples from the isolated population of Orkney. This dataset contains all the data available for this study on 2019-07-23.

  Dataset EGAD00001005194

• RNA-seq data for de-methylation of FOXP3-TSDR study

  22 RNA-seq samples of ex-vivo (TN and Treg), cultured Treg, TET1 and untreated mCherry-MOCK

  Dataset EGAD00001006865

• Reference epigenome Islet-derived-MSC01 h3k27ac ChIP-Seq data generated from KEP study

  Islet-derived-MSC01 h3k27ac ChIP-Seq paired end data

  Dataset EGAD00001007402

• Reference epigenome Islet-derived-MSC01 h3k27me3 ChIP-Seq data generated from KEP study

  Islet-derived-MSC01 h3k27me3 ChIP-Seq paired end data

  Dataset EGAD00001007403

• Reference epigenome Islet-derived-MSC01 h3k36me3 ChIP-Seq data generated from KEP study

  Islet-derived-MSC01 h3k36me3 ChIP-Seq paired end data

  Dataset EGAD00001007404

• Reference epigenome Islet-derived-MSC01 h3k4me1 ChIP-Seq data generated from KEP study

  Islet-derived-MSC01 h3k4me1 ChIP-Seq paired end data

  Dataset EGAD00001007405

• Reference epigenome Islet-derived-MSC01 h3k4me3 ChIP-Seq data generated from KEP study

  Islet-derived-MSC01 h3k4me3 ChIP-Seq paired end data

  Dataset EGAD00001007406

• Reference epigenome Islet-derived-MSC01 h3k9me3 ChIP-Seq data generated from KEP study

  Islet-derived-MSC01 h3k9me3 ChIP-Seq paired end data

  Dataset EGAD00001007407

• Reference epigenome Islet-derived-MSC01 input ChIP-Seq data generated from KEP study

  Islet-derived-MSC01 input ChIP-Seq paired end data

  Dataset EGAD00001007408

• Reference epigenome Islet-derived-MSC02 h3k27ac ChIP-Seq data generated from KEP study

  Islet-derived-MSC02 h3k27ac ChIP-Seq paired end data

  Dataset EGAD00001007409

• Reference epigenome Islet-derived-MSC02 h3k27me3 ChIP-Seq data generated from KEP study

  Islet-derived-MSC02 h3k27me3 ChIP-Seq paired end data

  Dataset EGAD00001007410

• Reference epigenome Islet-derived-MSC02 h3k36me3 ChIP-Seq data generated from KEP study

  Islet-derived-MSC02 h3k36me3 ChIP-Seq paired end data

  Dataset EGAD00001007411

• Reference epigenome Islet-derived-MSC02 h3k4me1 ChIP-Seq data generated from KEP study

  Islet-derived-MSC02 h3k4me1 ChIP-Seq paired end data

  Dataset EGAD00001007412

• Reference epigenome Islet-derived-MSC02 h3k4me3 ChIP-Seq data generated from KEP study

  Islet-derived-MSC02 h3k4me3 ChIP-Seq paired end data

  Dataset EGAD00001007413

• Reference epigenome Islet-derived-MSC02 h3k9me3 ChIP-Seq data generated from KEP study

  Islet-derived-MSC02 h3k9me3 ChIP-Seq paired end data

  Dataset EGAD00001007414

• Reference epigenome Islet-derived-MSC02 input ChIP-Seq data generated from KEP study

  Islet-derived-MSC02 input ChIP-Seq paired end data

  Dataset EGAD00001007415

• Reference epigenome Islet-derived-MSC03 h3k27ac ChIP-Seq data generated from KEP study

  Islet-derived-MSC03 h3k27ac ChIP-Seq paired end data

  Dataset EGAD00001007416

• Reference epigenome Islet-derived-MSC03 h3k27me3 ChIP-Seq data generated from KEP study

  Islet-derived-MSC03 h3k27me3 ChIP-Seq paired end data

  Dataset EGAD00001007417

• Reference epigenome Islet-derived-MSC03 h3k4me1 ChIP-Seq data generated from KEP study

  Islet-derived-MSC03 h3k4me1 ChIP-Seq paired end data

  Dataset EGAD00001007425

• Reference epigenome Islet-derived-MSC03 h3k4me3 ChIP-Seq data generated from KEP study

  Islet-derived-MSC03 h3k4me3 ChIP-Seq paired end data

  Dataset EGAD00001007426

• Reference epigenome Islet-derived-MSC03 h3k9me3 ChIP-Seq data generated from KEP study

  Islet-derived-MSC03 h3k9me3 ChIP-Seq paired end data

  Dataset EGAD00001007427

• Reference epigenome Islet-derived-MSC03 input ChIP-Seq data generated from KEP study

  Islet-derived-MSC03 input ChIP-Seq paired end data

  Dataset EGAD00001007428

• Reference epigenome Islet-derived-MSC04 h3k27ac ChIP-Seq data generated from KEP study

  Islet-derived-MSC04 h3k27ac ChIP-Seq paired end data

  Dataset EGAD00001007429

• Reference epigenome Islet-derived-MSC04 h3k27me3 ChIP-Seq data generated from KEP study

  Islet-derived-MSC04 h3k27me3 ChIP-Seq paired end data

  Dataset EGAD00001007430

• Reference epigenome Islet-derived-MSC04 h3k36me3 ChIP-Seq data generated from KEP study

  Islet-derived-MSC04 h3k36me3 ChIP-Seq paired end data

  Dataset EGAD00001007431

• Reference epigenome Islet-derived-MSC04 h3k4me1 ChIP-Seq data generated from KEP study

  Islet-derived-MSC04 h3k4me1 ChIP-Seq paired end data

  Dataset EGAD00001007432

• Reference epigenome Islet-derived-MSC04 h3k4me3 ChIP-Seq data generated from KEP study

  Islet-derived-MSC04 h3k4me3 ChIP-Seq paired end data

  Dataset EGAD00001007433