A high throughput next generation sequencing (NGS) pipeline to generate high quality recombinant therapeutic antibodies

Information

  • Research Project
  • 9466399
  • ApplicationId
    9466399
  • Core Project Number
    R43CA224843
  • Full Project Number
    1R43CA224843-01
  • Serial Number
    224843
  • FOA Number
    PA-16-302
  • Sub Project Id
  • Project Start Date
    1/3/2018 - 7 years ago
  • Project End Date
    12/31/2018 - 6 years ago
  • Program Officer Name
    RAHBAR, AMIR M
  • Budget Start Date
    1/3/2018 - 7 years ago
  • Budget End Date
    12/31/2018 - 6 years ago
  • Fiscal Year
    2018
  • Support Year
    01
  • Suffix
  • Award Notice Date
    1/3/2018 - 7 years ago
Organizations

A high throughput next generation sequencing (NGS) pipeline to generate high quality recombinant therapeutic antibodies

Abstract Therapeutic antibodies are used to treat many different diseases, including cancer, auto-immunity, infection and atherosclerosis. They are the fastest growing class of pharmaceuticals, with annual revenues of ~$75B in 2013. One of the most important methods to select therapeutic antibodies is by selection from vast antibody libraries. However, good libraries are extremely challenging to produce, and commercially available libraries are subject to onerous royalty and milestone payments. Specifica's business model is to offer selected antibod- ies and antibody libraries to customers unencumbered by intellectual property rights or downstream royalty and milestone payments. Specifica already has customers for both products, validating the business model. We have previously shown that by combining phage display, yeast display and next generation sequencing (NGS), we are able to identify over 1000 different antibodies from a selection, reflecting the far deeper sam- pling that NGS provides. However, unless antibodies identified by NGS can be easily produced as clones for further analysis, their specificities and properties cannot be assessed, risking the loss of potentially valuable antibodies: the greater the number of different antibodies, the greater the number of different epitopes, and consequently biological activities, that can be targeted. However, going easily from sequence to clones pres- ently represents the primary bottleneck in the full exploitation of NGS for in vitro antibody selection that we ad- dress in this proposal. We propose to develop three different methods to easily generate antibody clones iden- tified from next generation sequencing based on rolling circle amplification, PCR and gene synthesis. In Specif- ic Aim 1 we will compare the ease with which clones can be derived using these methods and how deep the different methods are able to reach into the abundance rank (can they isolate a clone sequenced only once?). In Specific Aim 2, we will examine how deeply into the NGS abundance, antibodies continue to be positive for the target (will an isolated antibody sequenced only once bind the target?). The approaches described here will allow us to integrate the use of NGS routinely into antibody isolation, allowing us to improve both aspects of our services: 1) to increase the diversity of antibodies selected against particular targets for clients in our ther- apeutic antibody selection business; and 2) By providing the most effective NGS interrogation and clone isola- tion methods to our library clients, we will empower them to maximally exploit the full diversity of our libraries. In phase II, we will apply the lessons learnt and methods developed in phase I to develop a highly efficient an- tibody selection pipeline that will integrate NGS into all aspects of selection and down stream antibody produc- tion and testing. This pipeline will comprise: 1) novel informatic analysis approaches that will allow us to auto- matically identify HCDR3 and VH clonotypes, and extract appropriate primers or gene sequences; 2) novel vectors that will allow the direct mammalian expression of antibodies confirmed as positive by yeast display without additional cloning; 3) automation of the phage and yeast display selection processes.

IC Name
NATIONAL CANCER INSTITUTE
  • Activity
    R43
  • Administering IC
    CA
  • Application Type
    1
  • Direct Cost Amount
  • Indirect Cost Amount
  • Total Cost
    225000
  • Sub Project Total Cost
  • ARRA Funded
    False
  • CFDA Code
    396
  • Ed Inst. Type
  • Funding ICs
    NCI:225000\
  • Funding Mechanism
    SBIR-STTR RPGs
  • Study Section
    ZRG1
  • Study Section Name
    Special Emphasis Panel
  • Organization Name
    SPECIFICA, INC.
  • Organization Department
  • Organization DUNS
    080281395
  • Organization City
    SANTA FE
  • Organization State
    NM
  • Organization Country
    UNITED STATES
  • Organization Zip Code
    875055104
  • Organization District
    UNITED STATES