Previous Page  3 / 9 Next Page
Information
Show Menu
Previous Page 3 / 9 Next Page
Page Background

Page 11

Note:

Cell and Gene Therapy 2018 & Clinical Microbiology Congress 2018

Biomedical Research

|

ISSN: 0976-1683

|

Volume 29

S e p t e m b e r 1 0 - 1 1 , 2 0 1 8 | D u b l i n , I r e l a n d

allied

academies

Joint Event on

CLINICAL AND MEDICAL MICROBIOLOGY

CELL AND GENE THERAPY

&

World Congress on

International Conference on

Richard J DiPaolo et al., Biomed Res 2018, Volume 29 | DOI: 10.4066/biomedicalresearch-C3-007

DIAGNOSTIC ASSESSMENT OF

IMMUNOLOGICAL HISTORY BY HIGH-

THROUGHPUT TCR SEQUENCE ANALYSES

Richard J DiPaolo

1

, Kyle Wolf

1

, Tyler Hether

2

, Pavlo Gilchuk

4,5

,

Amrendra Kumar

4,5

, Julie Maybruck

3

, Mark Buller

1

and

Sebastian

Joyce

4,5

1

Saint Louis University, USA

2

Adaptive Biotechnologies, USA

3

Federal Bureau of Investigations, USA

4

Tennessee Valley Healthcare System, USA

5

Vanderbilt University, USA

D

uring an immune response T-cells expressing unique T-cell receptor DNA

rearrangements undergo clonal expansion. We hypothesized these unique

TCR sequences can serve as diagnostic classifiers, providing information of

immunological exposures. We used high-throughput sequencing to identify

TCRβ sequences in separate cohorts of mice after smallpox vaccination and

after Monkeypox virus (MPXV) infection. From millions of sequences in the

peripheral blood we identified 315 TCR sequences associated with post-

vaccinated samples. Vaccine-associated TCR sequences (VATS) were used

as diagnostic classifiers and were used to correctly identify 100% of naive and

post-vaccinated samples. The VATS were also 98% accurate at identifying

samples from the independent cohort of samples infected with a highly

related MPXV. The reproducibility of this method was verified repeating the

analyses after identifying MPXV-associated TCRβ sequences (MATS). MATS

distinguished infected/vaccinated samples from naïve (98% accuracy). The

data show that computational identification of vaccine/pathogens expanded

TCRs is a sensitive and specific method for determining exposure and can be

used to track pathogen specific immune cells with unprecedented sensitivity.

Richard J DiPaolo is currently working as a Professor

in Molecular Microbiology and Immunology at Saint

Louis University, USA. He has pursued his Postdoc-

toral fellowship from NIAID, National Institutes of

Health, PhD from Washington University in Saint Lou-

is in 2002 and BA at University of Chicago in 1995.

His research interest is in establishing mouse models

of human diseases to develop strategies to suppress

chronic inflammatory diseases. He currently has an

on-going project to examine the T and B cell respons-

es to vaccine and infections and his goal in this project

is to understand which immune receptors are used to

recognize different vaccines and infectious agents.

He had several publications as well as he is a principal

investigator in American Gastroenterological Associa-

tion, American Cancer Society, Washington University,

and Arthritis National Research Foundation.

richard.dipaolo@health.slu.edu

BIOGRAPHY