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Endoglucanase 2 (Eng2), a shared immunodominant antigen in dimorphic fungi that elicits immunity during infection
Uju J. Okaa, Cleison Ledesma Taira, Lucas dos Santos Dias, Hannah Dobson, Gregory C. Kujoth, Althea Campuzano, E. Jane Homan, George R. Thompson, Chiung-Yu Hung, George S. Deepe Jr, Marcel Wüthrich, Bruce S. Klein
Uju J. Okaa, Cleison Ledesma Taira, Lucas dos Santos Dias, Hannah Dobson, Gregory C. Kujoth, Althea Campuzano, E. Jane Homan, George R. Thompson, Chiung-Yu Hung, George S. Deepe Jr, Marcel Wüthrich, Bruce S. Klein
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Research Article Immunology Infectious disease

Endoglucanase 2 (Eng2), a shared immunodominant antigen in dimorphic fungi that elicits immunity during infection

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Abstract

We describe here a shared surface and cell wall protein, endoglucanase 2 (Eng2), expressed on the etiological agents that cause the endemic systemic mycoses of North America — Blastomyces, Coccidioides, and Histoplasma. We demonstrate that, despite sequence variation of the protein across these related fungi, exposure to Eng2 vaccinated and protected inbred and humanized HLA-DR4 strains of mice against lethal experimental infections with these fungi by eliciting adaptive immunity mediated by CD4+ T cells. We also show that CD4+ T cell precursors against Eng2 were detectable in naive individuals and that patients who had recovered from these infections evinced a memory and recall CD4+ T cell response to Eng2 and its immunodominant epitopes that we have mapped. We created and cataloged new tools and information, such as immunodominant peptide epitopes of Eng2 from each fungus recognized by inbred mice and humans, and we engineered peptide–MHC II tetramers to track T cells in inbred and HLA-DR4–humanized mice. These tools and tetramers will be useful for those who study these infections in mice and humans. Last, because most patients demonstrated immune memory and recall responses against Eng2, our work offers tools for the diagnosis of this collection of infectious diseases across North America.

Authors

Uju J. Okaa, Cleison Ledesma Taira, Lucas dos Santos Dias, Hannah Dobson, Gregory C. Kujoth, Althea Campuzano, E. Jane Homan, George R. Thompson, Chiung-Yu Hung, George S. Deepe Jr, Marcel Wüthrich, Bruce S. Klein

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Figure 1

Alignment of Eng2 aa sequences of dimorphic fungi.

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Alignment of Eng2 aa sequences of dimorphic fungi.
(A) Amino acid sequen...
(A) Amino acid sequences of the Eng2 homologs. Sequences were aligned using the T-Coffee algorithm. The GH16 endoglucanase domains and associated predicted active sites and catalytic residues were annotated by the NCBI Conserved Domain Database. The serine/threonine-rich domains were calculated as in González et al. (36) (with parameter density = 40%, limit = 8, window = 20, separator = 5). The outlined regions are as follows: orange, native signal peptide; blue, region homologous to GH16 subfamily 1; maroon, predicted active site residues; red, predicted catalytic residues; pink, serine/threonine-rich domain. (B) The percentage of identical and similar aa between Eng2 homologs was determined by T-Coffee multiple sequence alignment. (C) Domains of recombinant Eng2 proteins: yellow, α-factor secretory signal; SP, signal peptide (orange), native Eng2 signal peptide; blue, GH16 domain; pink, serine/threonine-rich domain; gray, c-Myc tag; and black, histidine tag. (D) Immunofluorescence microscopy images showing cell wall localization of Eng2 in B. dermatitidis yeast, C. posadasii spherules, and Hc yeast. CFW, Calcofluor White staining of fungal chitin; AF-555, Alexa Fluor 555 rabbit polyclonal anti-Eng2 antibody raised against each homolog. Scale bars: 10 μm. (E) Flow cytometric analysis of B. dermatitidis and H. capsulatum yeast and C. posadasii spherules stained with rabbit preimmune control serum and anti-Eng2 rabbit immune serum. “Normalized to mode” refers to a y-axis scaling option for histograms that normalizes each peak to its highest point, making all peaks appear at the same height, even if the populations have different numbers of events. This is helpful for visualizing and comparing populations with varying event counts.

Copyright © 2025 American Society for Clinical Investigation
ISSN: 0021-9738 (print), 1558-8238 (online)

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