Circulating cell-free RNA (cfRNA) is a promising biomarker for non-invasive diagnostics, providing insights into gene expression and disease states. However, technical and biological challenges across plasma processing, cfRNA extraction, quality control, and library preparation have limited clinical adoption. This poster presents results from an optimized cfRNA workflow, from extraction through sequencing.
Systematic evaluation of the NEBExpress® Cell-Free E. coli Protein Synthesis System demonstrates reproducible, versatile, and high-yield protein expression across diverse targets, templates, and workflows.
Cold-Active TEV Protease has been engineered specifically for higher activity at lower temperatures, offering both increased cleavage speed and protection of protein integrity.
Automation of NGS library prep, enabled by robotic liquid handlers, meets the needs of NGS across a variety of utilities including basic research, drug discovery, and human Health. New England Biolabs and NEBNext® NGS solutions are designed with automation in mind by addressing several factors including fewer workflow components, streamlined workflows, reduction in bead cleanups, novel enzymatic solutions, and generous overages to support automation dead-volumes.
Improvements in library quality and variant calling accuracy of NEBNext UltraShear® and NEBNext UltraShear FFPE DNA Library Prep to FFPE Samples in a hybrid capture workflow.
Novel solution for enzymatic fragmentation for long-read sequencing.
Application and performance recommendations of NEBNext UltraExpress DNA and RNA for low-input samples.
Novel single-day ligation-based small RNA library preparation method demonstrates reduced bias, enhanced sensitivity, and accuracy of sncRNA detection.
NEBNext® Enzymatic Methyl-seq generates consistent and accurate methylation calls using various sample types across a wide range of inputs. The use of base conversion in EM-seq™ poses a challenge to variant detection, however, this can be resolved bioinformatically because methylation information is preserved on only one strand in EM-seq libraries, while the other strand can be used to detect genetic variation. Here we present a bioinformatic workflow that demonstrates the ability to call germline SNPs with high recall and precision. With this ability to assess methylation state and genetic mutations from a single library we can maximize the utility of our sequencing datasets.
Fragmented or low-quality DNA, including FFPE DNA, can be challenging to analyze for epigenetic marks, but new techniques demonstrate reliably high-quality methyl-sequencing profiles. Enzymatic fragmentation, when used upstream of enzymatic methylation mapping, improves library data quality metrics as compared to mechanical shearing with Covaris.
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