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Immune repertoire sequencing: error correction, analysis, and visualization on the cloud

Award Information
Agency: Department of Health and Human Services
Branch: National Institutes of Health
Contract: 1R43GM137688-01
Agency Tracking Number: R43GM137688
Amount: $217,313.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: 400
Solicitation Number: PA19-272
Timeline
Solicitation Year: 2019
Award Year: 2020
Award Start Date (Proposal Award Date): 2020-04-01
Award End Date (Contract End Date): 2021-09-30
Small Business Information
4519 49TH ST
San Diego, CA 92115-3238
United States
DUNS: 031092123
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 NATALIE CASTELLANA
 (619) 752-4821
 natalie@digitalproteomics.com
Business Contact
 STEFANO BONISSONE
Phone: (888) 416-9305
Email: stefano@digitalproteomics.com
Research Institution
N/A
Abstract

Project SummaryAntibodies are vital molecules produced by the adaptive immune system, and are a
critical component in identifying foreign agents for removal within an organism. Produced by B
cells, antibodies have an enormously diverse set of possible compositions, created by somatic
recombination and hypermutation processes that are specific to these types of immune cells.
Due to their incredible diversity, studying them for the purpose of antibody discovery or disease
characterization, becomes a difficult task.Recently, next-generation sequencing (NGS) technologies have been successfully
applied to study the diverse repertoire of antibodies produced by B cells. This technology has
proven incredible for understanding this component of the immune response in a new level of
detail. Unfortunately, NGS produced strings contain errors as part of the process. These errors
can be confused as true sequence diversity, and can confound downstream analysis and
interpretation. Furthermore, structuring such deep sequenced antibody repertoire data for
answering questions about the immune response is non-trivial and compute resource intensive;
problems that not many labs are well suited to address.Our proposal seeks to break down barriers for entry of these repertoire sequencing
assays by providing innovative informatics approaches to error correction and analysis,
delivering results in an interactive cloud platform. Our service will be the first to offer
non-human/mouse species support, as well as support for transgenic animals, critical for many
drug discovery companies.Project Narrative
Antibody molecules are created by the immune system used to target cancer, pathogens, and
other foreign agents. Understanding the population of antibody molecules within a single
individual requires sequencing their nucleotide composition. This process can generate millions
of unique strings of nucleotides, of which a small proportion are erroneous. Tools for correcting,
analyzing, and visualizing such intricate datasets require improved informatics approaches to
make decisions in research and development of vaccines and drugs.

* Information listed above is at the time of submission. *

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