Project description:Two PacBio Hifi sequencing runs from the kidney of a single male NMR sample used to make the mHetGla4.1.primary genome assembly. Specifically, we assembled a second NMR genome from an unrelated male of a separate captive colony in Toronto, Canada, using PacBio HiFi (155.8 Gb, read N50 = 11.45 Kb) and ONT-LSK (299.6 Gb, read N50 = 10.1 Kb) reads (contig N50 = 75.7 Mb, Compleasm S = 98%). This accession stores the ONT-LSK data for this independent assembly.
Project description:Two PacBio Hifi sequencing runs from the kidney of a single male NMR sample used to make the mHetGla4.1.primary genome assembly. Specifically, we assembled a second NMR genome from an unrelated male of a separate captive colony in Toronto, Canada, using PacBio HiFi (155.8 Gb, read N50 = 11.45 Kb) and ONT-LSK (299.6 Gb, read N50 = 10.1 Kb) reads (contig N50 = 75.7 Mb, Compleasm S = 98%). This accession stores the Pacbio Hifi data for this independent assembly.
Project description:One PacBio Hifi sequencing run from the kidney of a single male CDMR (Bathyergus suillus) sample used to make the mBatSui1.1.primary genome assembly as an evolutionary comparator to our telomere-to-telomere naked mole-rat genome assembly. Specifically, we assembled a CDMR from a wild-derived sample in South African cape and sequenced in Toronto, Canada, using PacBio HiFi (89 Gb, read N50 = 18 Kb) and ONT-ULK (55 Gb, read N50 = 43 Kb) reads (contig N50 = 33 Mb, Compleasm S = 99%, QV = 71.0). This accession stores the Pacbio Hifi data for this assembly.
Project description:One ONT-ULK sequencing run from the kidney of a single male CDMR (Bathyergus suillus) sample used to make the mBatSui1.1.primary genome assembly as an evolutionary comparator to our telomere-to-telomere naked mole-rat genome assembly. Specifically, we assembled a CDMR from a wild-derived sample in South African cape and sequenced in Toronto, Canada, using PacBio HiFi (89 Gb, read N50 = 18 Kb) and ONT-ULK (55 Gb, read N50 = 43 Kb) reads (contig N50 = 33 Mb, Compleasm S = 99%, QV = 71.0). This accession stores the ONT-ULK data for this assembly.
Project description:Spatial transcriptomics workflows using barcoded capture arrays are commonly used for resolving gene expression in tissues. However, existing techniques are either limited by capture array density or are cost prohibitive for large scale atlasing. We present Nova-ST, a dense nano-patterned spatial transcriptomics technique derived from randomly barcoded Illumina sequencing flow cells. Nova-ST enables customized, low cost, flexible, and high-resolution spatial profiling of large tissue sections. Benchmarking on mouse brain sections demonstrates significantly higher sensitivity compared to existing methods, at reduced cost.
Project description:Spatial transcriptomics workflows using barcoded capture arrays are commonly used for resolving gene expression in tissues. However, existing techniques are either limited by capture array density or are cost prohibitive for large scale atlasing. We present Nova-ST, a dense nano-patterned spatial transcriptomics technique derived from randomly barcoded Illumina sequencing flow cells. Nova-ST enables customized, low cost, flexible, and high-resolution spatial profiling of large tissue sections. Benchmarking on mouse brain sections demonstrates significantly higher sensitivity compared to existing methods, at reduced cost.
Project description:To deeply investigate the details of the nano-SiO2 effects, we examined the gene expression profile alterations after nano-SiO2 treatment in BMMCs. The difference analysis between the groups showed that 285 genes were significantly expressed after treatment with nano-SiO2. Compared with the blank group, both nano-SiO2 exposure and DNP-HSA stimulation increased the expression of genes related to the MAPK signaling pathway in mast cells to varying degrees.
Project description:During maturation, eukaryotic precursor RNAs undergo processing events including intron splicing, 3’-end cleavage, and polyadenylation. Here, we describe nanopore analysis of CO-transcriptional Processing (nano-COP), a method for probing the timing and patterns of RNA processing. An extension of native elongating transcript sequencing (NET-seq), which quantifies transcription genome-wide through short-read sequencing of nascent RNA 3’ ends, nano-COP uses long-read nascent RNA sequencing to observe global patterns of RNA processing. First, nascent RNA is stringently purified through a combination of 4-thiouridine metabolic labeling and cellular fractionation. In contrast to cDNA or short-read–based approaches relying on reverse transcription or amplification, the sample is sequenced directly through nanopores to reveal the native context of nascent RNA. nano-COP identifies both active transcription sites and splice isoforms of single RNA molecules during synthesis, providing insight into patterns of intron removal and the physical coupling between transcription and splicing. The nano-COP protocol yields data within 3 days.