4210 results for "*geneti*"

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• TMEM259 alleles modulate respiratory syncytial virus infection and ER-stress-triggered apoptosis

  Whole Exome Sequencing data for the IRIS1, IRIS2, and IRIS3 cohorts. Abstract: Respiratory syncytial virus (RSV) is a main cause of infant morbidity and mortality. Susceptibility factors for severe RSV bronchiolitis in previously healthy children are unclear. We analyze genetic variants in 5,141 genes involved in virus sensing, interferon (IFN) signaling and effector functions in a population of n=101 previously healthy infants with severe RSV bronchiolitis. Comparing the allele frequencies of the patient cohort with the Exome Aggregation Consortium (ExAC) dataset our analysis reveals 94 non-synonymous coding single nucleotide polymorphisms (SNPs) mapping to 79 potential risk genes. Follow up of genes expressed in human lung cells show that TMEM259 (also known as membralin), a protein involved in regulating endoplasmic reticulum (ER) stress and neuronal cell survival, restricts RSV infection. Analysis of engineered human airway cells endogenously expressing the TMEM259 major allele or the rs77868901 minor variant shows allele-dependent modulation of RSV infection and ER-stress induced apoptosis, but not IFN activity nor induction of IFN stimulated genes. TMEM259 abundance and polymorphisms modulate RSV infection likely by modulating the ER stress response and apoptosis. This data may aid future risk stratification and development of prevention and treatment strategies for RSV.

  Study EGAS50000001971

• Direct identification of de novo mobile element insertions from single molecule sequencing of human sperm

  Mobile element insertions (MEIs) are a significant source of human genetic variation, yet the rates and properties of de novo MEIs are poorly characterized due to technical limitations in sequencing technology. Here, we directly sequenced individual gametes from sperm samples of 19 donors (aged 27-62) using highly accurate PacBio long-read sequencing to identify de novo retrotransposition events without familial inference. We developed a “self-alignment” strategy using personalized genome assemblies that enables high-precision, single-read detection of de novo MEIs. Using this method, we identified 43 de novo Alu insertions, revealing >9-fold variation in Alu retrotransposition rates between individuals (ranging from 0 to 0.148 insertions/gamete). We found a significant increase in Alu activity with paternal age, yielding a 4.67% increase in insertions per gamete per year of additional paternal age, representing a direct observation of age-associated increases in structural variant (SV) mutation rates. De novo Alu insertions predominantly represent evolutionarily young AluYa5 and AluYb8 subfamilies and bear characteristic molecular signatures of target-primed reverse transcription (TPRT). Our population-averaged rate of 4.52 insertions per 100 gametes aligns well with previous population genetic estimates, validating both direct observation and population approaches for estimating de novo MEI rates. These results establish direct gamete sequencing as a powerful method for characterizing germline mutation processes and reveal age as a significant determinant of de novo retrotransposition in the male germline.

  Study EGAS50000002110

• Integrating transcriptional regulatory networks with chromatin accessibility as markers of survival outcome and drug response in triple-negative breast cancer

  Patients with triple-negative breast cancer (TNBC), a highly aggressive and heterogeneous breast cancer subtype, have limited effective targeted therapy options and frequently develop resistance to chemotherapy. Transcription regulators (TRs) guided precision medicine, namely anti-estrogen receptor therapy, has proven successful in hormone-dependent breast cancer, but remains a challenge in TNBC. Here, we identified key TRs underlying TNBC identity by combining a transcriptional interaction network with chromatin accessibility and defined TR activity score metrics. We show that the activity scores of these TRs independently discriminate patient outcome across different clinical endpoints. Matching TR activity scores to drug sensitivity identified drug-TR pairs across independent datasets, including NFE2L3 and CBFB activity associated with sensitivity to mTOR inhibition, which we validated using a cohort of TNBC patient-derived xenografts. Collectively, we present methodology to promote TR-guided precision medicine that captures inter-tumor heterogeneity in TNBC and nominates drug sensitivities according to TR activity scores inferred from expression and chromatin accessibility data.

  Study EGAS50000001691

• scATAC-seq of CD4+ T cells from blood, lymph nodes and tumors of NSCLC patients

  This study explore the CD4+ T cells diversity in paired blood, lymph nodes and tumors of 2 different NSCLC patients. After FACS-sorted of Tregs (DAPI- CD45+ CD4+ CD25hi CD127lo) and Tconvs (DAPI- CD45+ CD4+CD25lo CD127lo/hi), cells were mixed in equal proportion (fifty/fifty ratio) and procesed with 10X Chromium (10X Genomics) scATAC kit and sequenced using Illumina platforms.

  Study EGAS50000000294

• Germline whole-genome sequencing (WGS) of colorectal cancer patients

  Whole-genome sequencing (WGS) data generated from matched germline blood DNA samples obtained from patients with primary or metastatic colorectal adenocarcinoma (n=37). These data were generated as part of a multiomic study integrating whole-genome sequencing with single-cell multiome profiling to investigate recurrent epigenetic alterations in colorectal cancer evolution and the tumour microenvironment.

  Dataset EGAD50000002942

• Whole Genome Sequencing (WGS) of Tumour Samples of Primary and Metastatic Colorectal Cancer

  WGS samples of primary (n=33) and metastatic (n=11) colorectal cancer tissues related to Livanova et al. manuscript 'Epigenetic evolution of colorectal cancer and its microenvironment reveals new vulnerabilities'

  Dataset EGAD50000002943

• Single-cell 10x Genomics Multiome ATAC-seq data from primary and metastatic colorectal cancers and normal colon tissues

  This dataset contains single-cell 10x Genomics Multiome ATAC-seq data from 33 primary colorectal cancer, 11 metastatic colorectal cancer, and 7 matched normal colon tissue samples generated as part of the study "Epigenetic evolution of colorectal cancer and its microenvironment reveals novel vulnerabilities."

  Dataset EGAD50000002944

• Single-cell 10x Genomics Multiome RNA-seq data from primary and metastatic colorectal cancers and normal colon tissues

  This dataset contains single-cell 10x Genomics Multiome RNA-seq data from 33 primary colorectal cancer, 11 metastatic colorectal cancer, and 7 matched normal colon tissue samples generated as part of the study "Epigenetic evolution of colorectal cancer and its microenvironment reveals novel vulnerabilities."

  Dataset EGAD50000002945

• Human breast cancer epigenetic sequencing data

  Controlled-access sequencing data generated from human breast tumor samples in the study "Epigenetic Heterogeneity in Breast Tumors with Implications for Disease Diagnosis and Monitoring". The dataset includes whole-genome DNA methylation sequencing, enzyme-mediated methylation sequencing of sorted tumor-cell populations, single-nucleus CUT&Tag, and single-cell RNA and chromatin-accessibility multiome sequencing. Raw sequencing data are provided as FASTQ files.

  Dataset EGAD50000002972

• Genetic Effects on the Skin Methylome in Healthy Older Twins

  Study EGAS00001007816