14465 results for "PLOS+ONE+Pennsylvania+German+ACS+language+code+pdc+open+access+study"

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• The Ingham Institute Gastro-Intestinal Viral Oncology Group Genome Data Access Committee

  Dac EGAC00001000367

• Data Access Committee for COLO829 Somatic reference standard for cancer genome sequencing

  Dac EGAC00001000408

• The Danish Reference Genome - GenomeDenmark data access committee

  Dac EGAC00001000562

• Peter Mac Translational Breast Cancer Genomics and Therapeutics Lab Data Access Committee

  Dac EGAC00001000837

• Data Access Committee for desmoplastic small round cell tumor (DSRCT) RNAseq data.

  Dac EGAC00001000851

• Nagoya University Department of Virology Data Access Committee

  Dac EGAC00001000988

• Stanford Data Access Committee for Multi-Region WES of Metastatic Colorectal Cancer

  Dac EGAC00001001164

• Data Access Commitee of The First Affiliated Hospital of Nanjing Medical University

  Dac EGAC00001001209

• Division of Molecular Oncology, National Cancer Center Research Institute Data Access Committee

  Dac EGAC00001001272

• The Lothian Birth Cohorts Data Access Committee

  Dac EGAC00001001376

• Nicola Murray Centre for Ovarian Cancer Research Data Access Committee

  Dac EGAC00001001588

• The Egyptian Collaborative Cardiac Genomics Project Data Access Committee (ECCO-GEN DAC)

  Dac EGAC00001001594

• The Egyptian Collaborative Cardiac Genomics Project Data Access Committee (ECCO-GEN DAC)

  Dac EGAC00001001680

• VIB CCB Translational Genetics Data Access Commitee

  Dac EGAC00001001808

• Data Access Commitee of the Princess Maxima Center for Pediatric Oncology

  Dac EGAC00001001948

• University of Helsinki Systems Biology and Turku University Hospital Data Access Committee

  Dac EGAC00001001978

• Data access committee for Gut microbiome of BA patients and normal controls

  Dac EGAC00001002146

• Department of Pathology and Tumor Biology, Kyoto University Data Access Committee

  Dac EGAC00001002205

• Division of Molecular Oncology, National Cancer Center Research Institute Data Access Committee

  Dac EGAC00001002331

• NPC genome-wide human SNP array (Hong Kong population) data access commitee

  Dac EGAC00001002581

• Data Access Committee of the Department of Molecular Neurology, UKEr

  Dac EGAC00001002695

• High hyperdiploid ALL single cell whole genome sequencing data Data Access Commitee

  Dac EGAC00001002737

• Tonsil cell atlas Data Access Commitee

  Dac EGAC00001002807

• High hyperdiploid acute lymphoblastic leukemia bulk DNA sequencing data Data Access Committee

  Dac EGAC00001003127

• THL Biobank Data Access Committee

  Dac EGAC00001000660

• British Columbia Cancer Agency (BCCA), PHSAs Technology Development Office, Data Access Committee

  Dac EGAC00001002903

• British Columbia Cancer Agency (BCCA) PHSAs Technology Development Office, Data Access Committee

  Dac EGAC00001002968

• Division of Molecular Oncology, National Cancer Center Research Institute Data Access Committee

  Dac EGAC00001003030

• Singapore Gastric Cancer Consortium Data Access Committee

  Dac EGAC00001003138

• EC IO Data Access Committee UMCG

  Endometrial Cancer Immuno-Oncology DAC UMCG

  Dac EGAC50000000334

• Medulloblastoma Hi-C Data Access Committee

  Contact Information Marco Gallo marco.gallo@bcm.edu

  Dac EGAC50000000357

• Data Access Committee Clinical Genetics at Karolinska Institutet (DAC-CG-KI)

  Dac EGAC00001002960

• Soskiclab data access committee

  Contact Information Blagoje Soskic blagoje.soskic@fht.org

  Dac EGAC50000000830

• RNA-seq of granulosa cells from 8 IVF patients in two age groups

  This dataset contains raw sequencing data of mRNA from granulosa cell samples from 8 human patients undergoing in vitro fertilization. All patients were normal responders referred for male infertility and were grouped into two age groups (younger than 31 or older than 38 years old). Each sample contains all granulosa cells collected from one patient on one collection date. Raw sequencing fastq files are available in this dataset, count tables are available in ArrayExpress (E-MTAB-13496).

  Dataset EGAD50000001210

• 10X single cell sequencing of HNT34 cocultured with Tcells with or without antibody targeting SLAMF6

  This dataset contains fastq-files from single cell 5' RNA sequencing of the AML cell line HNT34 and normal T cells following co-culture with and without an antibody blocking SLAMF6 (TNC-1). The libraries were prepared using 10X GEM-X Universal 5' Gene Expression v3 Reagent Kit. In total, the dataset contains sequenced gene expression libraries from four samples (HNT34 co-cultured with T cells from two different donors; for both donors there is one sample with and one sample without the blocking antibody).

  Dataset EGAD50000001573

• TK-EPN862 - Patient-derived xenograft model of Posterior Fossa A Ependymoma - RNAseq

  In Vivo Loss of Tumorigenicity in a Patient-Derived Orthotopic Xenograft Mouse Model of Ependymoma. Whitehouse et al. 2023 Frontiers in Oncology. We describe the establishment of a patient-derived orthotopic xenograft (PDOX) model of posterior fossa A (PFA) EPN, derived from a metastatic cranial lesion. Patient and PDOX tumors were analyzed using RNA sequencing. RNAseq data (paired end) provided here correspond to Primary tumour, two metastatic lesions (one spinal, one cranial), and a patient-derived xenograft derived from the patient.

  Dataset EGAD00001009870

• Rapid Acceleration of Diagnostics - Underserved Populations (RADx-UP): CO-CREATE-Ex: Community-engaged Optimization of COVID-19 Rapid Evaluation And TEsting Experiences

  Cases of COVID-19 infection in San Diego have persistently remained high in the county's central and southern communities near the US/Mexico border, home to primarily Latino residents who have been one of the ethnic minority communities most impacted by COVID-19. To address this, our Phase I RADx-UP project partnered with San Ysidro Health (SYH), a federally qualified health center, and the Global Action Research Center (Global ARC), a social change organization, to co-create and demonstrate the impact of a PCR-based COVID-19 testing program in San Ysidro. To date, we have administered approximately 15,000 PCR tests for >10,000 community members (92% Latino) and received requests from SYH to scale-out the testing program to additional primary care clinic sites. Responsive to RFA-OD-22-006, we will continue working with our community (Global ARC) and clinical (SYH) partners to refine, specify, implement, and evaluate an implementation strategy bundle that optimizes COVID-19 testing, expanding beyond current PCR testing to focus on FDA-authorized COVID-19 rapid antigen testing. Use of self-administered rapid antigen tests will allow participants to build capacity to self-test and use health information technology to access additional clinic services. Based on initial implementation mapping with the project's established Community and Scientific Advisory Board, three implementation strategies were prioritized to accelerate sustained uptake of rapid COVID-19 testing. These three strategies include: (1) current, walk-up onsite free testing; (2) promotores-led COVID-19 test counseling and preventive care reminders; (3) vending machines that dispense FDA-authorized self-testing kits. Our primary objectives are to: 1) refine and operationalize our multi-component implementation strategy bundle and a related set of measures of success for rapid FDA- authorized COVID-19 testing and 2) implement and evaluate impact of our innovative, multilevel, and multicomponent implementation strategy bundle to optimize COVID-19 rapid testing among underserved, Latino communities using a roll-out implementation optimization study design across four clinics over 18 months. The COVID-19 pandemic has underscored the urgent and essential need to engage invested community parties continuously and meaningfully in public health research to reduce health disparities. This proposal is well-positioned to provide a set of strategies and measures of success that can be used in settings serving underserved communities while maintaining flexibility to adjust to the changing COVID-19 landscape.

  Study phs003686

• BCG prime DNA methylation data

  This dataset contains the DNA methylation data of 384 samples from individuals with one or more comorbidities

  Dataset EGAD00010002767

• MIBC NAC2020 cohort RNA sequencing

  The dataset contains RNA sequencing data from N=48 transurethral resections of bladder tumours (TURBTs) from N=48 patients with muscle-invasive bladder cancer. All TURBTs originate from formalin-fixed paraffin embedded tissue. We used the Illumina TruSeq RNA exome kit, previously known as the TruSeq RNA Access Library Prep Kit. This kit converts total RNA into template molecules of known strand origin, followed by sequence-specific capture of coding RNA. All samples were run in an Illumina NovaSeq6000 instrument. Paired FASTQ files from all 48 patients are provided.

  Study EGAS50000000741

• DAC Admixture histories of São Tomé e Príncipe

  Contacts: Paul Verdu +33144057317 paul.verdu@mnhn.fr CNRS-MNHN-Université de Paris UMR7206 Eco-anthropology Jorge M. Rocha jrocha@cibio.up.pt CIBIO Short description The Data Access Committee for acess to genotype and sample information used in the article "Nested admixture during and after the Trans-Atlantic Slave Trade in the island of Sao Tome" by Ciccarella M et al.2025 ensures that data-access requests comply with the Informed Consent provided by donors, and with ethical and deontological guidelines with respect to privacy. Research sampling protocols followed the Declaration of Helsinki guidelines and written informed consent was obtained from all volunteer participants involved in the sampling in São Tomé e Príncipe. The study of the São Tomé e Príncipe sample was undertaken with the support and permission of the Provincial Government of the Ministry of Health of the Democratic Republic of São Tomé e Príncipe, and the Provincial Government of Príncipe. Research sampling protocols also followed the French laws of scientific research deontology (Loi n° 2016-483 du 20 avril 2016) and were approved by the French ethics committees and CNIL (Declaration n°1972648).

  Dac EGAC50000000437

• Coeliac Disease Immunochip dataset

  Illumina Immunochip genotype data for coeliac disease and control samples. Data is in PLINK binary format. Calling algorithm for genotypes is based on GenomeStudio (GenTrain), with manual clustering of selected variants (please see published manuscript). Genotypes called in this way may not be exactly identical to those generated by other algorithms - this is particularly relevant for groups wishing to utilise the control data (e.g. 1958 Birth Cohort). Please contact the investigators if you wish to discuss access to other data formats (e.g. .idat).

  Study EGAS00000000053

• Whole_exome_sequencing_of_young_onset_Primary_Sclerosing_Cholangitis

  Primary sclerosing chloangitis is a rare autoimmune disease of the liver (prevalence =10/100,000) with a mean age of onset of 40 years. We are currently undertaking GWASand immunochip experiments to identify loci underlying PSC susceptibility. Through ourcollaborators at the University of Calgary we have access to DNA from three parent-offspringtrios where the children required liver transplants due to PSC before the age of 9. These areextremely rare cases indeed and we believe that exome-sequencing represents a powerfulmeans of identifying the causal mutation underlying this severe phenotype.

  Study EGAS00001000388

• Psychophysiological Investigation of Myocardial Ischemia (PIMI-BioLINCC)

  Data Access NOTE: Please refer to the "Authorized Access" section below for information about how access to the data from this accession differs from many other dbGaP accessions. Objectives: To investigate psychophysiological factors related to both symptomatic and asymptomatic cardiac ischemia.Background: An important hypothesis has been generated from current research in this area: manifestations and expressions of cardiac ischemia are influenced by specified psychophysiological mechanisms.Participants: The study population consisted of 196 participants recruited from four clinical units, all of which were clinical units for the Asymptomatic Cardiac Ischemia Pilot (ACIP). Participants eligible for PIMI were identified throughout the screening process established for the enrollment of participants in ACIP.Design: The primary goal of PIMI was to test the hypothesis, "Manifestations and expressions of cardiac ischemia are influenced by specific psychophysiological mechanisms." The specific relationships investigated were:Patients who are susceptible to mental stress ischemia (indexed by new left ventricular wall motion abnormalities) would display more ischemia during daily activities and would have ambulatory ischemia at lower heart rate and activity level thresholds than patients who are not susceptible. Cardiovascular and catecholamine reactivity to mental stress would be a predictive of severity of mental stress ischemia and of ambulatory ischemia. Β-edorphin responses to mental stress and to exercise would be predictive of asymptomatic ischemia. Patients with systematic ischemia and those with asymptomatic ischemia would show differences in each of the following at rest and after response to stresses (exercise and/or mental tests). Mental stress would produce different hormonal and perceptual responses than exercise. Asymptomatic ischemia would be associated with a lesser severity of ischemia than symptomatic ischemia. The location of the ischemic myocardium would be inferior in a higher proportion of patients with asymptomatic ischemia than of patients with symptomatic ischemia. The latency internal that would be the onset of ST segment depression and the onset of ischemic pain would be related to somatic sensory perception, autonomic nervous system reflux control of the heart, Β-endorphin responses, and psychosocial characteristics.

  Study phs004183

• Berlin Institute for Medical Systems Biology - ccfDNA Methylation Data Access Commitee

  Dac EGAC00001003283

• The data access committee for Detecting Liver Cancer Using Cell-Free DNA Fragmentomes

  Dac EGAC00001003279

• Data Access Policy of the HCEMM - Semmelweis University, Molecular Oncohematology Research Group

  Dac EGAC00001003240

• The University of Hong Kong Gastric Cancer Exome Sequencing Project Data Access Committee

  Dac EGAC00001000032

• Cancer genomics project, the University of Tokyo Data Access Committee

  Dac EGAC00001000087

• GEH Data Access Committee

  Dac EGAC00001000139

• BGI Data Access Committee

  Dac EGAC00001000177