Back

Generation and characterization of a novel MHC-II tetramer for tracking and characterization of toxin B-specific CD4+ T cell responses

Maslanka, J. R.; She, Q.; Krauss, K. S.; Konopka, E. N.; Bayard, N. U.; Londregan, J.; Alameh, M.-G.; Eisenlohr, L. C.; Kutzler, M. A.; Zackular, J. P.; Abt, M. C.

2026-02-19 immunology
10.64898/2026.02.18.706639 bioRxiv
Show abstract

The gastrointestinal pathogen Clostridioides difficile, is a major burden for health systems due to high rates of recurrence. C. difficile pathogenesis is mediated by two virulence factors, toxin A (TcdA) and Toxin B (TcdB). Antibodies specific for TcdA and TcdB are correlated with protection from symptomatic recurrence, however, the role for CD4+ T cells is poorly understood in part due to the lack of tools to study the toxin-specific CD4+ T cell response. Our group recently demonstrated the antibody and CD4+ T cell response to C. difficile toxins is impaired via the glucosyltransferase activity of the toxins; however, tools do not exist to study the protective capacity and the phenotype of toxin-specific CD4+ T cells. Therefore, we developed an MHC-II tetramer to identify TcdB-specific CD4+ T cells via flow cytometry. Herein, we identified an immunodominant epitope (TcdB1961-1975) in the CROPs region of TcdB and optimized an MHC-II tetramer for use in tracking and phenotyping TcdB-specific CD4+ T cell responses following multiple different immunization strategies in mice. Utilizing the tetramer, TcdB-specific T follicular helper (Tfh) cells were detected following TcdB-CROPs mRNA-LNP vaccination validating the advantage of the tetramer. Furthermore, using a modular mRNA vector expressing the TcdB1961 peptide covalently bound to the beta chain of MHC-II (MHC-II{beta}) we were able to generate a robust population of TcdB-specific CD4+ T cells. These data outline the generation of new tools for the C. difficile field and lay the groundwork for future studies of toxin-specific CD4+ T cell responses.

Matching journals

The top 13 journals account for 50% of the predicted probability mass.

1
Scientific Reports
3102 papers in training set
Top 8%
8.8%
2
Frontiers in Immunology
586 papers in training set
Top 0.8%
7.5%
3
Cellular & Molecular Immunology
14 papers in training set
Top 0.2%
5.1%
4
Vaccines
196 papers in training set
Top 0.5%
4.1%
5
PLOS Pathogens
721 papers in training set
Top 3%
3.8%
6
PLOS ONE
4510 papers in training set
Top 37%
3.7%
7
PLOS Neglected Tropical Diseases
378 papers in training set
Top 2%
3.7%
8
mBio
750 papers in training set
Top 4%
3.7%
9
Vaccine
189 papers in training set
Top 0.9%
2.7%
10
mSphere
281 papers in training set
Top 2%
2.5%
11
Cell Reports
1338 papers in training set
Top 21%
2.0%
12
Cell Reports Medicine
140 papers in training set
Top 3%
1.9%
13
Microbiology Spectrum
435 papers in training set
Top 2%
1.8%
50% of probability mass above
14
iScience
1063 papers in training set
Top 13%
1.8%
15
eLife
5422 papers in training set
Top 46%
1.4%
16
ACS Synthetic Biology
256 papers in training set
Top 2%
1.3%
17
npj Vaccines
62 papers in training set
Top 0.3%
1.3%
18
Frontiers in Microbiology
375 papers in training set
Top 6%
1.3%
19
Gut Microbes
70 papers in training set
Top 0.8%
1.2%
20
European Journal of Immunology
57 papers in training set
Top 0.4%
1.0%
21
Proteins: Structure, Function, and Bioinformatics
82 papers in training set
Top 0.7%
0.9%
22
Open Forum Infectious Diseases
134 papers in training set
Top 2%
0.9%
23
Frontiers in Genetics
197 papers in training set
Top 8%
0.9%
24
Cell Discovery
54 papers in training set
Top 4%
0.8%
25
Viruses
318 papers in training set
Top 5%
0.8%
26
Frontiers in Bioengineering and Biotechnology
88 papers in training set
Top 3%
0.8%
27
ACS Infectious Diseases
74 papers in training set
Top 1%
0.8%
28
Journal of Immunological Methods
24 papers in training set
Top 0.2%
0.8%
29
Microbial Cell Factories
22 papers in training set
Top 0.4%
0.8%
30
The Journal of Immunology
146 papers in training set
Top 1%
0.8%