3246 results for "*geneti*"

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• Genetics and transcriptomics of human acute erythroid leukemia

  Dac EGAC00001001553

• DAC for Phylogenetic reconstruction of breast cancer

  Dac EGAC00001001572

• Data Access Commitee for study Fine-Scale Genomic Analyses Of Admixed Individuals Reveal Unrecognized Genetic Ancestry Components In Argentina

  Dac EGAC00001001634

• VIB CCB Translational Genetics Data Access Commitee

  Dac EGAC00001001761

• VIB CCB Translational Genetics Data Access Commitee

  Dac EGAC00001001808

• Genetic structure of Norway Data Access Committee

  Dac EGAC00001001827

• Genetic makeup of agnospheres.

  Dac EGAC00001001846

• Center for Medical Genetics Data Access Commitee

  Dac EGAC00001001892

• VIB CCB Translational Genetics Data Access Commitee

  Dac EGAC00001001928

• VIB CCB Translational Genetics Data Access Committee

  Dac EGAC00001001975

• VIB CCB Translational Genetics Data Access Committee

  Dac EGAC00001002006

• International Genetics of Parkinson Disease Progression (IGPP) Consortium GWSS Summary Results Data Access Committee

  Dac EGAC00001002012

• Center of Medical Genetics Ghent

  Dac EGAC00001002063

• Data Access Committee for study Genetics of Preeclampsia at High Altitudes

  Dac EGAC00001002097

• Center of Medical Genetics Ghent

  Dac EGAC00001002102

• University College London, Department of Genetics and Genomic Medicine (UCL GGM)

  Dac EGAC00001002121

• Evolutionary predictability of genetic versus non genetic resistance to anticancer drugs in melanoma

  Dac EGAC00001002126

• VIB CCB Translational Genetics Data Access Committee

  Dac EGAC00001002157

• MRC Institute of Genetics and Cancer Data Access Committee

  Dac EGAC00001002163

• Department of Clinical Genetics of Maastricht University Medical Center

  Dac EGAC00001002259

• Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland

  Dac EGAC00001002346

• DAC Genetic variability in the glucocorticoid receptor NR3C1

  Dac EGAC00001002382

• Center for Medical Genetics Ghent

  Dac EGAC00001002384

• lupus genetic risk variant

  Dac EGAC00001002394

• Genetics of acne consortium

  Dac EGAC00001002400

• Lupus Genetic Risk Variant

  Dac EGAC00001002514

• Director of the Institute of Reproductive Genetics, Münster, Germany

  Dac EGAC00001002589

• UEA Genetics of Cholesteatoma DAC

  Dac EGAC00001002612

• Pharmacogenetics Team

  Dac EGAC00001002745

• University College London, Department of Genetics and Genomic Medicine (UCL GGM)

  Dac EGAC00001002813

• DLSM Epigenetics DAC

  Dac EGAC00001002822

• Differential Presence of Exons in Cell-Free DNA (NIMGenetics/IIS-FJD)

  Dac EGAC00001002885

• Center for Medical Genetics Ghent

  Dac EGAC00001002909

• VIB CCB Translational Genetics Data Access Commitee

  Dac EGAC00001002959

• COVID-19 Vaccine Genetics DAC

  Dac EGAC00001003037

• Data Access Commitee LUMC-KFT Pharmacogenetics

  Dac EGAC00001003046

• Southern African Genetic History

  Dac EGAC00001003149

• Center for Medical Genetics Ghent

  Dac EGAC00001003264

• Circulating tumor cells Exome sequencing from breast cancer

  Single cell technologies allow interrogating the extent of tumor heterogeneity, providing novel insights into tumor evolution and treatment resistance mechanisms. Here, we investigated the level of genetic heterogeneity among circulating tumor cells (CTCs) at the single nucleotide variation and copy number aberration (CNA) levels and compared it to synchronous matched primary tumor/metastatic lesion from 3 metastatic breast cancer patients with triple-negative (TNBC), HER2-positive (HER2+) and estrogen-receptor-positive (ER+) tumors. Whole exome sequencing was performed on 3 synchronous bulk tumor tissue and 21 single/pooled CTC samples. When comparing bulk tissue with CTCs from the same patient, we found similar CNA profiles and the same patient-specific driver mutations for the HER2+ and TNBC tumors. Different CNA profiles and driver mutations were found for the ER+ tumor, with two distinct clones being identified in the CTCs, one harboring an activating ESR1 mutation, the other one bearing a TP53 mutation. These data suggest that tumor tissue and CTCs provide in a subset of patients complementary clinically relevant information to map tumor heterogeneity and monitor tumor evolution. Further validation is needed.

  Study EGAS00001005228

• Dataset that contains runs of submission 70

  Description of runs dataset of submission 70

  Dataset EGAD50000000099

• Dataset that contains runs of submission 72

  Description of runs dataset of submission 72

  Dataset EGAD50000000103

• Oxidative phosphorylation is a key ontogenetic feature of monocyte immunometabolism promoting myeloid differentiation after birth

  Neonates primarily rely on innate immunity, yet their inflammatory responses to microbes, particularly those of monocytes, are usually restricted compared to adults. This is controversially interpreted as immaturity increasing the risk of sepsis or essential programming allowing immune adaptation after birth. Which changes the cellular immunometabolism undergoes after birth and its role in these concepts are poorly defined. Here, we applied transcriptomic, metabolic, and immunological approaches and found that monocytes exhibit an inverse ontogenetic balance of immunometabolism. Our data show that glycolysis in monocytes increases within the first year of life and fuels their inflammatory responsiveness. In contrast, oxidative phosphorylation (OXPHOS) is high in neonatal monocytes supporting myeloid differentiation but declines only gradually during the first five years of life. Treatment of neonatal monocytes with lipopolysaccharide induces an adult-like immunometabolic phenotype. Ketogenic diet restricts glycolysis in adult monocytes, but cannot reactivate OXPHOS and revive a neonatal-like immunometabolic phenotype, suggesting that neonatal metabolism is hardwired and cannot be restored by simple dietary changes. Transcriptional network and population-wide human variation analyses identified E2F1, MYB, STAT1 and FLI1 as important regulators of age-dependent cell functions and related energy demands in human monocytes. Collectively, our findings show that restricted glycolysis and increased OXPHOS are a physiological programming in neonatal monocytes. Premature switching to an adult-like metabolism could untimely enhance inflammatory responses and disrupt important myeloid differentiation, whereas microbial challenges accumulating during childhood seem to induce an essential gradual metabolic switch.

  Study EGAS00001007555

• Whole-genome sequencing of Tibetans from China

  Twenty-seven Tibetan samples from China were whole-genome sequenced to investigate high-altitude adaptation, population genetics and demographic history.

  Dataset EGAD00001004797

• Oxidative phosphorylation is a key ontogenetic feature of monocyte immunometabolism promoting myeloid differentiation after birth

  The dataset consists of 12 samples of monocytes, which were analyzed using RNA-sequencing (RNA-seq). These samples were categorized into four distinct groups, each comprising three samples. The dataset was designed to investigate the transcriptomic and metabolic profiles of monocytes across different age groups and stimulation conditions. 3 neonatal controls, 3 neonatal LPS stimulated, 3 adult controls and 3 adult LPS stimulated samples.

  Dataset EGAD00001011340

• Oxidative phosphorylation is a key ontogenetic feature of monocyte immunometabolism promoting myeloid differentiation after birth

  Dac EGAC00001003420

• Single cell transcriptomic landscape of pediatric B-cell acute lymphoblastic leukemia: dissection of transcriptional heterogeneity and B-cell developmental state

  Introduction: Genomic analyses of bulk ALL samples have improved our understanding of the genetic basis and risk stratification of B-ALL, but do not directly examine intratumor heterogeneity or enable inference of leukemia developmental state and cell of origin. Methods: We profiled 89 B-ALL samples by single-cell RNA-seq (scRNA-seq) (10X Genomics 5’v2) and compared them to a scRNA-seq reference map of normal human B-cell development. Results: Analysis of heterogeneity of inferred DNA copy number alterations at single cell level showed that aneuploid ALL with near haploidy and hyperdiploid harbor chromosomal losses or gains in all blasts, consistent with early, synchronous origin rather than sequential accumulation. Intra-sample heterogeneity was driven by five gene expression signatures: cell cycle, metabolism, differentiation, inflammation, refining leukemic subtyping. An atlas of B cell development was established to map B-ALL samples to specific developmental states. Hyperdiploid samples resembled pro-B cells, while MEF2D-r and TCF3::PBX1 showed high pre-B abundance. Patients with high early lymphoid abundance had poorer outcomes. Conclusions: Understanding variation in transcriptional programs and developmental states of B-ALL blasts by sc transcriptome refines existing clinical and genomic classifications and provides novel prognostic markers.

  Study EGAS00001007512

• Genome-wide DNA methylation sequencing identifies epigenetic perturbations in the upper airways under long-term exposure to moderate levels of ambient air pollution

  While the link between exposure to high levels of ambient particulate matter (PM) and increased incidences of respiratory and cardiovascular diseases is widely recognized, recent epidemiological studies have shown that low PM concentrations are equally associated with adverse health effects. As DNA methylation is one of the main mechanisms by which cells regulate and stabilize gene expression, changes in the methylome could constitute early indicators of dysregulated signaling pathways. So far, little is known about PM-associated DNA methylation changes in the upper airways, the first point of contact between airborne pollutants and the human body. Here, we focused on cells of the upper respiratory tract and assessed their genome-wide DNA methylation pattern to explore exposure-associated early regulatory changes. Using a mobile epidemiological laboratory, nasal lavage samples were collected from a cohort of 60 adults that lived in districts with records of low (Simmerath) or moderate (Stuttgart) PM10 levels in Germany. PM10 concentrations were verified by particle measurements on the days of the sample collection and genome-wide DNA methylation was determined by enzymatic methyl sequencing at single-base resolution. We identified 231 differentially methylated regions (DMRs) between moderately and lowly PM10 exposed individuals. A high proportion of DMRs overlapped with regulatory elements, and DMR target genes were involved in pathways regulating cellular redox homeostasis and immune response. In addition, we found distinct changes in DNA methylation of the HOXA gene cluster whose methylation levels have previously been linked to air pollution exposure but also to carcinogenesis in several instances. The findings of this study suggest that regulatory changes in upper airway cells occur at PM10 levels below current European thresholds, some of which may be involved in the development of air pollution-related diseases.

  Study EGAS00001007374

• RNA-seq of Liver Cancer

  The present series corresponds to 161 RNA-seq samples from tumors with matched WES or WGS. Hepatocellular carcinoma (HCC) accounts for more than 90% of liver cancers, and is a major health problem. It is the 3rd cause of cancer-related mortality. Advances in genomic analyses have formed a comprehensive understanding of different underlying pathobiological layers resulting in hepatocarcinogenesis. Thus, the development of next-generation sequencing technologies has made it possible to generate more comprehensive catalogues of somatic alteration events (single nucleotide substitutions, structural variations, and epigenetic changes) in liver cancer genome than ever before.

  Dataset EGAD00001003993

• Whole Genome Sequencing of HCC

  The present series corresponds to 24 whole genome sequencing (12 Tumoral/Non-tumoral pairs). Hepatocellular carcinoma (HCC) accounts for more than 90% of liver cancers, and is a major health problem. It is the 3rd cause of cancer-related mortality. Advances in genomic analyses have formed a comprehensive understanding of different underlying pathobiological layers resulting in hepatocarcinogenesis. Thus, the development of next-generation sequencing technologies has made it possible to generate more comprehensive catalogues of somatic alteration events (single nucleotide substitutions, structural variations, and epigenetic changes) in liver cancer genome than ever before.

  Dataset EGAD00001003994

• Exome sequencing of advanced hepatocellular carcinoma

  The aim of our project is to decipher the genomic of advanced hepatocellular carcinoma using whole exome sequencing. To this purpose, we aim to compare genetic landscape of advanced hepatocellular carcinoma with early tumor in order to understand the mechanisms of tumor progression. This work will also help to identify new therapeutic targets potentially useful to treat patients at advanced stage. This dataset contain whole exome sequencing aligned reads for 41 tumor with matched normal samples

  Dataset EGAD00001004555