Literature DB >> 33385028

Dataset of next-generation sequence reads of nanobody clones in phage display library derived from Indian desert camel (Camelus dromedarius L.).

Somesh Banerjee1, Ajit Singh1, Jagveer Rawat1, Nitish Bansal2,3, Sushila Maan3.   

Abstract

Next-generation sequences (NGS) dataset of nanobody (Nb) clones in a phage display library (PDL) is of immense value as it serves in many different ways, such as: i). estimating the library size, ii). improving selection and identification of Nbs, iii). informing about frequency of V gene families, diversity and length of CDRs, iv). high resolution analysis of natural and synthetic libraries, etc. [1], [2], [3]. We used a fraction of our previously constructed PDL of Nbs derived from an E. coli lipopolysaccharide-immunized Indian desert camel in order to obtain the dataset of NGS reads of Nbs. The cryo-preserved transformants library was revived to extract the Nb-encoding VHH (inserts)-pHEN4 (vector) DNA pool. The DNA sample was used for amplifying VHH pool by PCR [6]. The VHH amplicons band was gel-purified and subjected to NGS using Illumina MiSeqTM platform. 'Nextra XT micro V2 Index' kit was used for the Nb library DNA sample sequencing, with the adaptors: 'i7' (N706: TAGGCATG) and 'i5' (S517: GCGTAAGA). The raw data comprised of a total read count of 182146 (matched= 179591; unmatched=2555), with average read length of 130.33 bases and a total of 23.74 Mb. Of 179591 matched reads, 142004 were paired reads and 37587 broken paired reads. The raw data of NGS reads was submitted to NCBI Sequence Reads Archive accessible at URL: https://www.ncbi.nlm.nih.gov/Traces/study/?acc=PRJNA516512 (dataset ref. [7]), and after analysis deposited in Mendeley Datasets repository, which is accessible at URL: [https://data.mendeley.com/datasets/4rsz3snvk5/3] (dataset ref. [8]). The sequence reads were analyzed by bioinformatics tools [9], [10], [11], [12]. The assembled consensus contigs revealed Nb orthologs of diverse Ag-specificities, including those isolated by conventional panning and Sanger-sequenced functional Nbs. Contig 1 CDR1-3 matched to those of anti-Trypanosoma evansi RoTat1.2 variant surface glycoprotein (VSG), while Contig 2 CDR1-3 matched to those of anti-LPS Nb clones isolated from the library. Contig 3 was however incomplete and lacked CDR3. Despite lacking the depth, the NGS data is a useful guide for selection of antigen-specific Nbs from the library, as demonstrated by anti-T. evansi VSG Nbs, and provides templates for Nb-based diagnostic reagents and therapeutic agents.
© 2020 The Authors.

Entities:  

Keywords:  Dataset; Indian desert camel; NGS reads archive; Nanobodies; Phage display library

Year:  2020        PMID: 33385028      PMCID: PMC7770539          DOI: 10.1016/j.dib.2020.106663

Source DB:  PubMed          Journal:  Data Brief        ISSN: 2352-3409


  8 in total

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Journal:  J Comput Biol       Date:  2000 Feb-Apr       Impact factor: 1.479

2.  Selection and identification of single domain antibody fragments from camel heavy-chain antibodies.

Authors:  M Arbabi Ghahroudi; A Desmyter; L Wyns; R Hamers; S Muyldermans
Journal:  FEBS Lett       Date:  1997-09-15       Impact factor: 4.124

Review 3.  Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.

Authors:  S F Altschul; T L Madden; A A Schäffer; J Zhang; Z Zhang; W Miller; D J Lipman
Journal:  Nucleic Acids Res       Date:  1997-09-01       Impact factor: 16.971

Review 4.  Antibody Informatics: IMGT, the International ImMunoGeneTics Information System.

Authors:  Marie-Paule Lefranc
Journal:  Microbiol Spectr       Date:  2014-04

5.  Next-Generation Sequencing of a Single Domain Antibody Repertoire Reveals Quality of Phage Display Selected Candidates.

Authors:  Kendrick B Turner; Jennifer Naciri; Jinny L Liu; George P Anderson; Ellen R Goldman; Dan Zabetakis
Journal:  PLoS One       Date:  2016-02-19       Impact factor: 3.240

6.  Next-generation sequencing enables the discovery of more diverse positive clones from a phage-displayed antibody library.

Authors:  Wonjun Yang; Aerin Yoon; Sanghoon Lee; Soohyun Kim; Jungwon Han; Junho Chung
Journal:  Exp Mol Med       Date:  2017-03-24       Impact factor: 8.718

7.  Database indexing for production MegaBLAST searches.

Authors:  Aleksandr Morgulis; George Coulouris; Yan Raytselis; Thomas L Madden; Richa Agarwala; Alejandro A Schäffer
Journal:  Bioinformatics       Date:  2008-06-21       Impact factor: 6.937

Review 8.  Next-Generation Sequencing of Antibody Display Repertoires.

Authors:  Romain Rouet; Katherine J L Jackson; David B Langley; Daniel Christ
Journal:  Front Immunol       Date:  2018-02-02       Impact factor: 7.561

  8 in total

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