Human leukocyte antigen (HLA)-binding epitopes dataset for the newly identified T-cell antigens of Mycobacterium immunogenum.

The dataset described herein is related to our article entitled "T-cell antigens of Mycobacterium immunogenum (MI), an etiological agent of occupational hypersensitivity pneumonitis'' (Chandra and Yadav, 2016) [1]. The data include in silico-predicted T-cell epitopes of the T-cell antigens AgA and AgD of MI predicted to bind to HLA-I or HLA-II alleles. Data on two reference T-cell antigens ESAT-6 and CFP-10 of Mycobacterium tuberculosis H37Rv are included for comparison. The data for each antigen include the predicted epitope׳s amino acid sequence, its first amino acid position, and its ability to bind HLA-I or HLA-II allele(s).

Specifications Table

Value of the data

Occupational hypersensitivity pneumonitis (HP) is a T-cell-mediated disease caused by exposure to mycobacterial antigens via machining fluids contaminated with Mycobacterium immunogenum (MI). Currently there is no data on epitopes of this pathogen.

The current data set relates to the first report on epitope prediction for the first set of T-cell antigens of this HP etiological agent.

Knowledge of the T-cell epitopes which bind to HLA-I and HLA-II alleles in human population is significant as it can provide the needed information to develop further diagnostic tools and therapeutic or vaccine targets. HP is still a difficult-to-diagnose occupational lung disease due to the lack of such data.

Data

The dataset presented in this article is about epitopes of newly identified T-cell antigens of Mycobacterium immunogenum (MI) that causes HP [1], [2], [3]. The data show predicted HLA-I alleles for T-cell epitopes of AgA and AgD of MI (Tables 1 and 2) and ESAT-6 and CFP-10 of M. tuberculosis H37Rv (Tables 5 and 6), respectively. The corresponding data for predicted HLA-II alleles are presented in Tables 3 and 4 (MI antigens) and Tables 7 and 8 (reference antigens of M. tuberculosis), respectively.

Experimental design, materials and methods

The data in this article focus on two recombinant MI antigen proteins, AgA and AgD, selected based on the in vitro T-cell reactivity [1] from a pool of 33 seroreactive proteins of M. immunogenum originally identified in our previous 2D- immunoproteomics work [4], [5] . The selected antigens AgA and AgD were analyzed here for epitopes using in silico immunoinformatic approach. Amino acid sequences of the antigens were used for the in silico analysis. For comparison, two well-recognized immunodominant antigens ESAT-6 and CFP-10 of the tuberculosis agent M. tuberculosis were analyzed in parallel. The epitopes were predicted using ProPred-I and ProPred platforms that are meant to predict promiscuous binding regions for 47 and 51 different HLA class I and class II alleles, respectively [6].

Subject area	Immunology
More specific subject area	Immunoinformatics
Type of data	Table
How data was acquired	In silico analysis of the T-cell antigens for epitopes
Data format	Analyzed
Experimental factors	The antigens were originally identified by 2D-immunoproteomics
Experimental features	T-cell reactive antigens were subjected to in silico analysis for HLA-I and HLA-II binding epitopes
Data source location	University of Cincinnati, College of Medicine, Cincinnati, OH, USA
Data accessibility	All relevant data provided in this article