In this webinar, Ben Auch, Research Scientist, Innovation Lab, University of Minnesota Genomics Center, Cody Sheik, Assistant Professor of Biology, University of Minnesota Duluth, and Harm van Bakel, Assistant Professor…
In this AGBT presentation, Marty Badgett shares a look at the latest results from circular consensus sequencing (CCS) mode for highly accurate reads and data from our soon-to-be-released Sequel II…
In this AGBT presentation, Mike Hunkapiller shares insights on using highly accurate long (HiFi) reads generated in circular consensus sequencing (CCS) mode for comprehensive genomic analysis and provides examples such…
In this PacBio User Group Meeting presentation, PacBio scientist Kristin Mars speaks about recent updates, such as the single-day library prep that’s now possible with the Iso-Seq Express workflow. She…
To start Day 1 of the PacBio User Group Meeting, Jonas Korlach, PacBio CSO, provides an update on the latest releases and performance metrics for the Sequel II System. The…
In this webinar we present Single Molecule, Real-Time (SMRT) Sequencing and the Iso-Seq method, which allow you to generate full-length cDNA sequences — no assembly required — to characterize transcript…
In this Labroots webinar, Meredith Ashby, Director of Microbial Genomics at PacBio, describes the utility of highly accurate long-read sequencing, known as HiFi sequencing, to understand the SARs-CoV-2 viral genome….
In this ASHG 2020 CoLab presentation hear Principal Scientists, Aaron Wenger and Elizabeth Tseng share how highly accurate long reads (HiFi reads) provide comprehensive variant detection for both genomes and…
Long-read mRNA sequencing such as PacBio’s Iso-Seq method offer high-throughput transcriptome profiling that circumvents the transcript assembly problem by sequencing full-length cDNA. The Iso-Seq method has emerged as the most…
Most genes in eukaryotic organisms produce alternative isoforms, broadening the diversity of proteins and non-coding RNAs encoded by the genome. In contrast to other RNA sequencing platforms that rely on…
In this ASHG 2020 PacBio Workshop Hagen Tilgner of Cornell University shares how he has used single-cell RNA sequencing using long reads to identify novel isoform expression in brain tissues.
In this ASHG 2020 PacBio Workshop Jonas Korlach, CSO, shares how the new PacBio Sequel IIe System makes highly accurate long-read sequencing easy and affordable so?all scientists can gain comprehensive…
During the past decade, the search for pathogenic mutations in rare human genetic diseases has involved huge efforts to sequence coding regions, or the entire genome, using massively parallel short-read sequencers. However, the approximate current diagnostic rate is <50% using these approaches, and there remain many rare genetic diseases with unknown cause. There may be many reasons for this, but one plausible explanation is that the responsible mutations are in regions of the genome that are difficult to sequence using conventional technologies (e.g., tandem-repeat expansion or complex chromosomal structural aberrations). Despite the drawbacks of high cost and a shortage of standard analytical methods, several studies have analyzed pathogenic changes in the genome using long-read sequencers. The results of these studies provide hope that further application of long-read sequencers to identify the causative mutations in unsolved genetic diseases may expand our understanding of the human genome and diseases. Such approaches may also be applied to molecular diagnosis and therapeutic strategies for patients with genetic diseases in the future.
Lactic acid bacteria (LAB) confer health benefits to human when administered orally. We have recently isolated several species of LAB strains from plant sources, such as fruits, vegetables, flowers, and medicinal plants. Since antibiotics used to treat bacterial infection diseases induce the emergence of drug-resistant bacteria in intestinal microflora, it is important to evaluate the susceptibility of LAB strains to antibiotics to ensure the safety and security of processed foods. The aim of the present study is to determine the minimum inhibitory concentration (MIC) of antibiotics against several plant-derived LAB strains. When aminoglycoside antibiotics, such as streptomycin (SM), kanamycin (KM), and gentamicin (GM), were evaluated using LAB susceptibility test medium (LSM), the MIC was higher than when using Mueller-Hinton (MH) medium. Etest, which is an antibiotic susceptibility assay method consisting of a predefined gradient of antibiotic concentrations on a plastic strip, is used to determine the MIC of antibiotics world-wide. In the present study, we demonstrated that Etest was particularly valuable while testing LAB strains. We also show that the low susceptibility of the plant-derived LAB strains against each antibiotic tested is due to intrinsic resistance and not acquired resistance. This finding is based on the whole-genome sequence information reflecting the horizontal spread of the drug-resistance genes in the LAB strains.
Over the past decade, RNA sequencing (RNA-seq) has become an indispensable tool for transcriptome-wide analysis of differential gene expression and differential splicing of mRNAs. However, as next-generation sequencing technologies have developed, so too has RNA-seq. Now, RNA-seq methods are available for studying many different aspects of RNA biology, including single-cell gene expression, translation (the translatome) and RNA structure (the structurome). Exciting new applications are being explored, such as spatial transcriptomics (spatialomics). Together with new long-read and direct RNA-seq technologies and better computational tools for data analysis, innovations in RNA-seq are contributing to a fuller understanding of RNA biology, from questions such as when and where transcription occurs to the folding and intermolecular interactions that govern RNA function.
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