10.3389/fimmu.2018.02284.s006
Ali Salman
Ali
Salman
Vishal Koparde
Vishal
Koparde
Charles E. Hall
Charles E.
Hall
Max Jameson-Lee
Max
Jameson-Lee
Catherine Roberts
Catherine
Roberts
Myrna Serrano
Myrna
Serrano
Badar AbdulRazzaq
Badar
AbdulRazzaq
Jeremy Meier
Jeremy
Meier
Caleb Kennedy
Caleb
Kennedy
Masoud H. Manjili
Masoud
H. Manjili
Stephen R. Spellman
Stephen R.
Spellman
Dayanjan Wijesinghe
Dayanjan
Wijesinghe
Shahrukh Hashmi
Shahrukh
Hashmi
Greg Buck
Greg
Buck
Rehan Qayyum
Rehan
Qayyum
Michael Neale
Michael
Neale
Jason Reed
Jason
Reed
Amir A. Toor
Amir A.
Toor
Table_2_Determining the Quantitative Principles of T Cell Response to Antigenic Disparity in Stem Cell Transplantation.DOCX
Frontiers
2018
stem cell transplantation
GVHD
antigen response
HLA
tensors
vectors and operators
matrices
T cell response
2018-10-11 04:12:44
Dataset
https://frontiersin.figshare.com/articles/dataset/Table_2_Determining_the_Quantitative_Principles_of_T_Cell_Response_to_Antigenic_Disparity_in_Stem_Cell_Transplantation_DOCX/7194551
<p>Alloreactivity compromising clinical outcomes in stem cell transplantation is observed despite HLA matching of donors and recipients. This has its origin in the variation between the exomes of the two, which provides the basis for minor histocompatibility antigens (mHA). The mHA presented on the HLA class I and II molecules and the ensuing T cell response to these antigens results in graft vs. host disease. In this paper, results of a whole exome sequencing study are presented, with resulting alloreactive polymorphic peptides and their HLA class I and HLA class II (DRB1) binding affinity quantified. Large libraries of potentially alloreactive recipient peptides binding both sets of molecules were identified, with HLA-DRB1 generally presenting a greater number of peptides. These results are used to develop a quantitative framework to understand the immunobiology of transplantation. A tensor-based approach is used to derive the equations needed to determine the alloreactive donor T cell response from the mHA-HLA binding affinity and protein expression data. This approach may be used in future studies to simulate the magnitude of expected donor T cell response and determine the risk for alloreactive complications in HLA matched or mismatched hematopoietic cell and solid organ transplantation.</p>