13413 results for ""60+mice"+"6+weeks"+diet+study+2014+2017+DOI"

in 13.68 milliseconds.

• Reference epigenome KNIH011 miRNA-seq data generated from KEP study

  A KNIH011 miRNA-seq single end data for podocytes

  Dataset EGAD00001002770

• Reference epigenome KNIH011 mRNA-seq data generated from KEP study

  A KNIH011 mRNA-seq paired end data for podocytes

  Dataset EGAD00001002177

• Reference epigenome KNIH010 mRNA-seq data generated from KEP study

  A KNIH010 mRNA-seq paired end data for podocytes

  Dataset EGAD00001002176

• BLUEPRINT EpiVar Whole Genome Sequencing

  BLUEPRINT EpiVar Whole Genome Sequencing

  Study EGAS00001000689

• RNA-sequencing of HCC patients undergoing sorafenib treatment

  RNA-sequencing of hepatocellular carcinomas at various stages of sorafenib treatment

  Study EGAS00001005662

• Reference epigenome CKD27_C_Mesan_mRNA-Seq data generated from KEP study

  A CKD27_C_Mesan_mRNA-Seq paired end data for Mesangial cells(kidney)

  Dataset EGAD00001003484

• Reference epigenome SMC08_WGBS data generated from KEP study

  A SMC08_WGBS paired end data for skeletal muscle cells

  Dataset EGAD00001003876

• Reference epigenome SMC09_WGBS data generated from KEP study

  A SMC09_WGBS paired end data for skeletal muscle cells

  Dataset EGAD00001003877

• Molecular Biomarkers in Glioma (Mechanisms and Therapeutic Implications of Hypermutation in Gliomas)

  This study seeks to genomically and mechanistically examine the basis for resistance of glioblastoma to chemotherapy, radiation therapy, and targeted therapy including immunotherapies. The study design addresses two Aims. In Aim 1, we will test the hypothesis that treatment with radiation and temozolomide or other therapies leads to consistent genetic changes in human tumors using whole exome sequencing of paired pre- and post-treatment tumor samples to determine large-scale changes in population structures and single cell whole genome sequencing to evaluate the effects of these treatments on microheterogeneity. In Aim 2, we will test the hypothesis that genetic changes identified in post-treatment glioblastomas (GBMs) functionally contribute to various forms of resistance in GBM using patient derived cell lines (PDCL) and patient derived xenografts (PDX). These studies will create a comprehensive understanding of genetic evolution during standard-of-care therapy for GBM. They will inform diagnostic approaches for assignment of targeted therapeutics in the recurrent setting and identify genetic changes driving resistance. Therapeutic targeting of these novel resistance drivers could represent a rational approach to substantially improve our existing standard of care for GBM patients.

  Study phs001967

• Method to Assess Lung Water Accumulation During Exercise

  The goal of this non-significant risk medical device study is to test the initial technical feasibility of a 0.55T MRI in healthy volunteers by technical optimization of scanner protocols, and to test accuracy of standard MR measurements in adult patients with known stable disease. Exercise-induced lung water is a key feature in heart failure. Dynamic quantitative lung water imaging during exercise stress is therefore of interest to unmask latent heart failure. We developed a novel magnetic resonance imaging (MRI) method using a proton density weighted ultrashort echo time MRI sequence along with a time-resolved and respiratory motion compensated image reconstruction for exercise lung water imaging. We validated our method in a porcine model of dynamic lung water accumulation (n=5), and tested its feasibility for use in humans using 12 healthy subjects, 1 patient with heart failure with preserved ejection fraction, and 1 patient with heart failure with reduced ejection fraction. Data suggest the novel imaging method is capable of dynamically imaging lung water accumulation during exercise stress. Reference 1 (PMID: 37288601) contains the main results for this study.

  Study phs003346