Project description:We present a draft genome assembly that includes 200 Gb of Illumina reads, 4 Gb of Moleculo synthetic long-reads and 108 Gb of Chicago libraries, with a final size matching the estimated genome size of 2.7 Gb, and a scaffold N50 of 4.8 Mb. We also present an alternative assembly including 27 Gb raw reads generated using the Pacific Biosciences platform. In addition, we sequenced the proteome of the same individual and RNA from three different tissue types from three other species of squid species (Onychoteuthis banksii, Dosidicus gigas, and Sthenoteuthis oualaniensis) to assist genome annotation. We annotated 33,406 protein coding genes supported by evidence and the genome completeness estimated by BUSCO reached 92%. Repetitive regions cover 49.17% of the genome.
Project description:Purpose: The goal of this study is to compare endothelial small RNA transcriptome to identify the target of OASL under basal or stimulated conditions by utilizing miRNA-seq. Methods: Endothelial miRNA profilies of siCTL or siOASL transfected HUVECs were generated by illumina sequencing method, in duplicate. After sequencing, the raw sequence reads are filtered based on quality. The adapter sequences are also trimmed off the raw sequence reads. rRNA removed reads are sequentially aligned to reference genome (GRCh38) and miRNA prediction is performed by miRDeep2. Results: We identified known miRNA in species (miRDeep2) in the HUVECs transfected with siCTL or siOASL. The expression profile of mature miRNA is used to analyze differentially expressed miRNA(DE miRNA). Conclusions: Our study represents the first analysis of endothelial miRNA profiles affected by OASL knockdown with biologic replicates.
Project description:Species identification of fragmentary bones remains a challenging task in archeology and forensics. A species identification method for such fragmentary bones that has recently attracted interest is the use of bone collagen proteins. We developed a method similar to DNA barcoding that reads collagen protein sequences in bone and automatically determines the species by performing sequence database searches. We tested our method using bone samples from 30 vertebrate species ranging from mammals to fish.
Project description:The compartmentalisation of distinct organelles within eukaryotic cells is essential for their diverse functions, however, how their structures and functions depend on each other has not been systematically explored. We combined a fluorescent reporter of mitochondrial stress with genome-wide CRISPR knockout screening and identified networks of genes involved in the biogenesis and metabolism of diverse organelles. Targeted organelle gene knockouts identified that defects in peroxisomes, Golgi, and ER cause mitochondrial fragmentation and dysfunction. Correlative light and electron microscopy analysed using artificial intelligence-directed voxel extraction revealed in unprecedented detail how impaired mitochondrial interactions with diverse organelles caused cell-wide defects in their morphology and biogenesis. Multi-omics analyses identified a unified proteome stress response and global shifts in lipid and glycoprotein homeostasis that are elicited when organelle biogenesis is compromised. Our comprehensive resource has defined metabolic and morphological interactions between organelles that can be mined to understand how changes in organelle components drive diverse cellular pathologies.