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      NeuroMabSeq: high volume acquisition, processing, and curation of hybridoma sequences and their use in generating recombinant monoclonal antibodies and scFvs for neuroscience research

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          Abstract

          The Neuroscience Monoclonal Antibody Sequencing Initiative (NeuroMabSeq) is a concerted effort to determine and make publicly available hybridoma-derived sequences of monoclonal antibodies (mAbs) valuable to neuroscience research. Over 30 years of research and development efforts including those at the UC Davis/NIH NeuroMab Facility have resulted in the generation of a large collection of mouse mAbs validated for neuroscience research. To enhance dissemination and increase the utility of this valuable resource, we applied a high-throughput DNA sequencing approach to determine immunoglobulin heavy and light chain variable domain sequences from source hybridoma cells. The resultant set of sequences was made publicly available as searchable DNA sequence database ( neuromabseq.ucdavis.edu) for sharing, analysis and use in downstream applications. We enhanced the utility, transparency, and reproducibility of the existing mAb collection by using these sequences to develop recombinant mAbs. This enabled their subsequent engineering into alternate forms with distinct utility, including alternate modes of detection in multiplexed labeling, and as miniaturized single chain variable fragments or scFvs. The NeuroMabSeq website and database and the corresponding recombinant antibody collection together serve as a public DNA sequence repository of mouse mAb heavy and light chain variable domain sequences and as an open resource for enhancing dissemination and utility of this valuable collection of validated mAbs.

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          DADA2: High resolution sample inference from Illumina amplicon data

          We present DADA2, a software package that models and corrects Illumina-sequenced amplicon errors. DADA2 infers sample sequences exactly, without coarse-graining into OTUs, and resolves differences of as little as one nucleotide. In several mock communities DADA2 identified more real variants and output fewer spurious sequences than other methods. We applied DADA2 to vaginal samples from a cohort of pregnant women, revealing a diversity of previously undetected Lactobacillus crispatus variants.
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            BLAT---The BLAST-Like Alignment Tool

            W. J. Kent (2002)
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              Oligotyping: differentiating between closely related microbial taxa using 16S rRNA gene data

              Bacteria comprise the most diverse domain of life on Earth, where they occupy nearly every possible ecological niche and play key roles in biological and chemical processes. Studying the composition and ecology of bacterial ecosystems and understanding their function are of prime importance. High-throughput sequencing technologies enable nearly comprehensive descriptions of bacterial diversity through 16S ribosomal RNA gene amplicons. Analyses of these communities generally rely upon taxonomic assignments through reference data bases or clustering approaches using de facto sequence similarity thresholds to identify operational taxonomic units. However, these methods often fail to resolve ecologically meaningful differences between closely related organisms in complex microbial data sets. In this paper, we describe oligotyping, a novel supervised computational method that allows researchers to investigate the diversity of closely related but distinct bacterial organisms in final operational taxonomic units identified in environmental data sets through 16S ribosomal RNA gene data by the canonical approaches. Our analysis of two data sets from two different environments demonstrates the capacity of oligotyping at discriminating distinct microbial populations of ecological importance. Oligotyping can resolve the distribution of closely related organisms across environments and unveil previously overlooked ecological patterns for microbial communities. The URL http://oligotyping.org offers an open-source software pipeline for oligotyping.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: methodologyRole: formal analysisRole: investigationRole: writing—original draft preparationRole: writing—review and editingRole: visualization
                Role: ConceptualizationRole: methodologyRole: investigationRole: writing—review and editing
                Role: ConceptualizationRole: methodologyRole: investigationRole: formal analysisRole: writing—review and editing
                Role: ConceptualizationRole: methodologyRole: investigationRole: writing—review and editing
                Role: ConceptualizationRole: methodologyRole: investigationRole: writing—review and editing
                Role: ConceptualizationRole: methodologyRole: investigationRole: writing—review and editing
                Role: ConceptualizationRole: methodologyRole: investigationRole: writing—review and editing
                Role: ConceptualizationRole: methodologyRole: investigationRole: writing—review and editing
                Role: ConceptualizationRole: methodologyRole: investigationRole: writing—review and editing
                Role: ConceptualizationRole: supervision
                Role: ConceptualizationRole: writing—original draft preparationRole: writing—review and editingRole: supervision
                Role: ConceptualizationRole: writing—original draft preparationRole: writing—review and editingRole: visualizationRole: supervisionRole: project administrationRole: funding acquisition
                Journal
                bioRxiv
                BIORXIV
                bioRxiv
                Cold Spring Harbor Laboratory
                30 June 2023
                : 2023.06.28.546392
                Affiliations
                [1 ]Department of Physiology and Membrane Biology, University of California Davis School of Medicine, Davis, CA
                [2 ]Bioinformatics Core, Genome Center, University of California Davis, CA
                [3 ]DNA Technology Core, Genome Center, University of California Davis, CA
                [4 ]Department of Psychiatry and Behavioral Sciences, University of California Davis School of Medicine, Davis, CA
                Author notes
                [* ]Corresponding Author: jtrimmer@ 123456ucdavis.edu
                Article
                10.1101/2023.06.28.546392
                10327083
                37425915
                21d4ba83-abf8-4e75-ad74-0d2d9c859106

                This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator.

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                Funding
                Funded by: National Institutes of Health
                Award ID: U24 NS109113
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