Project description:Despite relevant clinical and/or familial presentations suggesting a hereditary predisposition (early-onset, multiple primary tumors, familial aggregation), targeted genomic analysis based on the phenotype are often non contributive. As somatic cancer genes are limited, the hypothesis is that the targeted next-generation sequencing of 200 genes, selected for their implications in cancers may contribute to the understanding of many selected patients’ presentation by the identification of germline deleterious mutations, and may identified phenotype overlapping and/or mosaicisms. The focus will be put on early-onset breast, ovarian, colorectal cancer or pediatric cancers and multiple primary tumors.
Project description:In diploid organisms, selfing reduces the efficiency of selection in purging deleterious mutations from a population. This need not be the case for all organisms. Some plants, for example, undergo an extreme from of selfing known as intragametophytic selfing, which immediately exposes all recessive deleterious mutations in a parental genome to selective purging. Using the transcriptome data from S. subsecundum, S. cribrosum and 2 other previously published moss transcriptome, we ask how effectively deleterious mutations are purged from such plants. Specifically, we study genome-wide signatures of selective purging in the transcriptomes of four moss species that differ in their incidence of selfing and outcrossing.
Project description:Intellectual disability is a common condition that carries lifelong severe medical and developmental consequences. The causes of intellectual disability (ID) remain unknown for the majority of patients due to the extensive clinical and genetic heterogeneity of this disorder. De novo mutations may play an important role in ID as most individuals with ID present as isolated cases without family history and/or clear syndromic indication. In addition, the involvement of such mutations have recently been demonstrated in a small number of individuals with ID. Here we evaluate the diagnostic potential and role of de novo mutations in a cohort of 100 patients with ID of unknown cause using family-based exome sequencing. Single end short-read (50 bp) SOLiD 4 sequencing data for 300 individuals, constituting 100 patient-parent trios. For more details please read; http://www.nejm.org/doi/full/10.1056/NEJMoa1206524. Dataset is created by RUNMC (Radboud University, Nijmegen Medical Center), partner of Geuvadis consortium (http://www.geuvadis.org).
Project description:The trans-acting mutant genetic selection was performed as described in Baniulyte et al, 2017. Chromosomal mutations were identified by whole genome sequencing.
Project description:We used a new technology, named Detect-seq, to perform genome sequencing on transfected HEK293T cells to see DdCBEs' off-target mutations. Besides, targeted-amplicon sequencing and ATAC-seq data were applied to validate the results of Detect-seq.
Project description:Truncation mutations in family with sequence similarity, member H (FAM83H) gene cause autosomal dominant hypocalcified amelogenesis imperfecta (ADHCAI). The aim of this study was to explore the effects of truncated FAM83H on enamel development. High throughput RNA-sequencing was used to detect the dysregulated signaling pathways in Fam83h-mutated LS8 cells. According to mRNA-sequencing, pathway related to cell adhesion was the most notably clustered in Fam83h-mutated cells. Immunofluorescence analysis further revealed decreased protein expression of desmoglein 3, a component of desmosomes, in Fam83h-mutated cells.
Project description:The purpose of the study is to detect somatic mutations in hepatocellular carcinoma using circulating free-DNA. We used deep-sequencing data of a panel of 60 commonly mutated genes in hepatocellular carcinoma.
Project description:Microbiome sequencing model is a Named Entity Recognition (NER) model that identifies and annotates microbiome nucleic acid sequencing method or platform in texts. This is the final model version used to annotate metagenomics publications in Europe PMC and enrich metagenomics studies in MGnify with sequencing metadata from literature. For more information, please refer to the following blogs: http://blog.europepmc.org/2020/11/europe-pmc-publications-metagenomics-annotations.html https://www.ebi.ac.uk/about/news/service-news/enriched-metadata-fields-mgnify-based-text-mining-associated-publications
Project description:In this study, we combine MspJI digestion and electrophoretic band selection with next generation high-throughput sequencing technology to detect 5-methylcytosines in Arabidopsis genome. By developing a bioinformatics workflow to attribute the CNNR sites recognized by MspJI to the reference genome, we fulfilled the systematic assessment of this method. According to the assessment, here we provide the method for generating a detailed map of plant methylome that could be feasible, reliable and economical in methylation investigation. Extracting the MspJI digested fragments, constructing sequencing library according to the Illumina protocol and sequencing with Illumina HiSeq2000. Repeatability and reproducibility studies were performed between two samples from the same individual. Specificity and sensitivity of the method was examined by comparing our data with WGBS data downloaded from GEO (GSE15922: GSM399600). **The WGBS seq data ('aerial_tissues_BS_seq_CNNR.gff') was generated from the GSM399600 Sample supplementary files ('aerial_tissues_BS_seq_alignment_batch-*.gff.gz') and was utilized to do comparative study with our MspJI-seq data including sensitivity and specificity analysis.
Project description:Two Euphorbiaceae oil trees, Vernicia and Jatropha, were chosen to make a comparative transcriptomic study, with a focus on the differential oil accumulation process. Transcriptome sequencing was conducted with seeds at the initial- and fast- stage of oil accumulation from both.