Project description:A core task to understand the consequences of non-coding single nucleotide polymorphisms (SNP) is to identify their genotype specific binding of transcription factor (TF). Here, we generate a large-scale TF-SNP interaction map for a selection of 116 colorectal cancer (CRC) risk loci and validated TF binding to 10 putatively functional SNPs. Our data further revealed TF binding complexity adjacent to the 116 risk loci, adding an additional layer of understanding to regulatory networks associated with CRC relevant loci.
Project description:43 biopsies were obtained from subfertile/infertile patients undergoing testicular sperm extraction (TESE) as part of their treatment. Labelled cDNAs were compared to a reference normal testis RNA (Ambion).
Project description:RNA-seq of human cells Edited using CRISPR vs parental and Unedited control. We identified a rare homozygous intronic variant in the ATP2B1 locus (rs111337717; chr12:89643729, T>C) that is associated with the severity of COVID-19 (i.e., symptomatic versus asymptomatic patients). Next, we employed CRISPR/Cas9 technology to develop the disease mutation observed in high-risk patients. Several edited single colonies were picked and expanded followed by DNA sequencing, and four clones with desired homozygous modifications were identified. The transcriptional profiles of N=4 C/C clones were compared then to those of T/T controls comprising one parental cell line and three unedited post-selection HEK293T cell clones.
Project description:Chrysanthemum is a garden plant with good economic benefit and high ornamental value. Chrysanthemum in the key period of flowering in autumn and winter, vulnerable to cold damage, affecting the normal growth of the chrysanthemum plant and even death. little is known regarding the study of histone crotonylation in plant cold response. In this study, we first obtained reference chrysanthemum transcriptome data via RNA sequencing. Next, we quantitatively investigated the chrysanthemum proteome, crotonylation, and the association between them in chrysanthemum following low temperature. In total, 365669 unigenes, 6693 proteins and 2017 crotonylation sites were quantified under low temperature stress. There were 24631 up-regulated and 22648 down-regulated unigenes (absolute log2-fold change > 1 and P value<0.05), 393 up-regulated and 500 down-regulated proteins using a 1.2-fold threshold (P<0.05). The lysine crotonylation mainly influenced in photosynthesis, ribosome, antioxidant enzyme and ROS system. In the process of low temperature, 61 lysine crotonylation sites in 89 proteins were up-regulated and 87 lysine crotonylation sites in 72 proteins are down-regulated (1.2-fold threshold, P<0.05).
Project description:FUS is one of the pathogenic RNA-binding proteins for amyotrophic lateral sclerosis (ALS). We previously reported that FUS stabilized SynGAP mRNA at its 3’UTR and maintained spine maturation and cognitive function in mice. To elucidate whether this mechanism could be pathogenic for ALS, we identified SynGAP 3’UTR variant at the binding site of FUS, different from that in mice, from a multicenter cohort in Japan. Human induced pluripotent stem cells (hiPSC)-derived motor neurons with SynGAP variant showed spine abnormality with aberrant SynGAP splicing. To evaluate how SynGAP variant altered the access of RNA binding proteins to SynGAP 3'UTR, we performed pull down assay by using biotinylated RNA probes with or without the variant.
Project description:Advances in single-cell genomics enable commensurate improvements in methods for uncovering lineage relations among individual cells. Current sequencing based methods for cell lineage analysis depend on low resolution bulk analysis or rely on extensive single cell sequencing which is not scalable and could be biased by functional dependencies. Here we show an integrated biochemical-computational platform for generic single-cell lineage analysis that is retrospective, cost-effective and scalable. It consists of a biochemical-computational pipeline that inputs individual cells, produces targeted single-cell sequencing data and uses it to generate a lineage tree of the input cells. We validated the platform by applying it to cells sampled from an ex vivo grown tree and analyzed its feasibility landscape by computer simulations. We conclude that the platform may serve as a generic tool for lineage analysis and thus pave the way towards large-scale human cell lineage discovery.