BackgroundTransposome-based technologies have enabled the streamlined production of sequencer-ready DNA libraries; however, current methods are highly sensitive to the amount and quality of input nucleic acid.ResultsWe describe a new library preparation technology (Nextera DNA Flex) that utilizes a known concentration of transposomes conjugated directly to beads to bind a fixed amount of DNA, and enables direct input of blood and saliva using an integrated extraction protocol. We further report results from libraries generated outside the standard parameters of the workflow, highlighting novel applications for Nextera DNA Flex, including human genome builds and variant calling from below 1 ng DNA input, customization of insert size, and preparation of libraries from short fragments and severely degraded FFPE samples. Using this bead-linked library preparation method, library yield saturation was observed at an input amount of 100 ng. Preparation of libraries from a range of species with varying GC levels demonstrated uniform coverage of small genomes. For large and complex genomes, coverage across the genome, including difficult regions, was improved compared with other library preparation methods. Libraries were successfully generated from amplicons of varying sizes (from 50 bp to 11 kb), however, a decrease in efficiency was observed for amplicons smaller than 250 bp. This library preparation method was also compatible with poor-quality DNA samples, with sequenceable libraries prepared from formalin-fixed paraffin-embedded samples with varying levels of degradation.ConclusionsIn contrast to solution-based library preparation, this bead-based technology produces a normalized, sequencing-ready library for a wide range of DNA input types and amounts, largely obviating the need for DNA quantitation. The robustness of this bead-based library preparation kit and flexibility of input DNA facilitates application across a wide range of fields.
In the decade since the human genome sequence was declared complete, the development of next generation sequencing (NGS) or “deep” sequencing to deliver cost-effective genomic sequencing has influenced advances beyond its primary application and changed the research landscape in many other areas. This review will survey recent applications of NGS which have broadened the understanding of natural antibody repertoires (the “antibodyome”) and how these evolve in response to viral infection. We will also report examples where deep sequencing of binding populations, derived from both natural and synthetic repertoires, have been used to benefit antibody engineering. This knowledge will ultimately lead to the design of more effective biological drugs and vaccines.
Engineering of alternative binding sites on the surface of an enzyme while preserving the enzymatic activity would offer new opportunities for controlling the activity by binding of non-natural ligands. Loops and turns are the natural substructures in which binding sites might be engineered with this purpose. We have genetically inserted random peptide sequences into three relatively rigid and contiguous loops of the TEM-1 b-lactamase and assessed the tolerance to insertion by the percentage of active mutants. Our results indicate that tolerance to insertion could not be correlated to tolerance to mutagenesis. A turn between two b-strands bordering the active site was observed to be tolerant to random mutagenesis but not to insertions. Two rigid loops comprising rather well-conserved amino acid residues tolerated insertions, although with some constraints. Insertions between the N-terminal helix and the first b-strand generated active libraries if cysteine residues were included at both ends of the insert, suggesting the requirement for a stabilizing disulfide bridge. Random sequences were relatively well accommodated within the loop connecting the final b-strand to the C-terminal helix, particularly if the wild-type residue was retained at one of the loops' end. This suggests two strategies for increasing the percentage of active mutants in insertion libraries. The amino acid distribution in the engineered loops was analyzed and found to be less biased against hydrophobic residues than in natural mediumsized loops. The combination of these activity-selected libraries generated a huge library containing active hybrid enzymes with all three loops modified.
WW domains are small β-sheet motifs that are involved in intracellular signalling through the recognition of proline-rich or phosphorylated linear peptide sequences. Here, we describe modification of this motif to provide a framework for engineering the side chains exposed on its concave surface. This non-natural scaffold incorporates an additional tryptophan, has a shorter loop 1 and supports modification of 25% of the natural protein to form a novel affinity reagent. We demonstrate the utility of this structure by selecting a high-affinity binder to the extracellular region of human vascular endothelial growth factor receptor isoform 2 (VEGFR-2) from a library of modifications, using a cell-free molecular display platform, CIS display. The isolate has low nanomolar affinity to VEGFR-2 and inhibits binding of human VEGF to its receptor with nanomolar activity. The structure is amenable to cyclisation to improve its proteolytic stability and has advantages over larger protein scaffolds in that it can be synthesised chemically to high yields offering potential for therapeutic and non-therapeutic applications.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.