ArticleScientific reports2025
Spatial mapping of influenza and coronavirus receptors in the respiratory and intestinal tract epithelium of beef cattle using advanced PixF image analysis.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
- Dual-Targeting iRGD-Functionalized Pentablock Copolymer Nanosystem for miR-345-5p and Gemcitabine Delivery to Pancreatic Tumors.ACS applied materials & interfaces · 2026Article
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10 authors.
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Abstract
Influenza A viruses (IAV) and coronaviruses (CoV) pose significant threats to various animal species, including cattle. Reports of SARS-CoV-2 infections and recent outbreaks of highly pathogenic avian influenza (HPAI H5N1) in dairy cattle highlight the need to understand receptor distributions critical for viral entry. This study investigates the spatial distribution of IAV and CoV receptors in bovine tissues using PixF, a novel and newly developed web-based image analysis tool. Respiratory (trachea and lung) and intestinal (small and large intestine) tissues from crossbred Holstein-Angus steers were analyzed. Lectin histochemistry staining with fluorescently labeled Sambucus nigra (SA α2,6-Gal receptors) and Maackia amurensis (SA α2,3-Gal receptors) identified IAV receptors, while coronavirus receptors ACE2, TMPRSS2, APN, DPP4, and CEACAM1 were assessed using indirect immunofluorescence. PixF provides an initial yet tailored image processing framework for quantifying and mapping receptor expression, revealing a predominance of SA α2,3-Gal receptors in epithelial regions, while SA α2,6-Gal receptors were confined to glandular tissues of the respiratory tract. Coronavirus receptors exhibited variable expression across tissues; TMPRSS2, APN, and DPP4 are highly expressed in the respiratory mucosal epithelium; ACE2, TMPRSS2, and DPP4 are highly expressed in the intestinal mucosal epithelium, while CEACAM1 is notably low across tissues. These findings demonstrate the potential utility of PixF, a simple prototypic fluorescence quantification tool customized for the use case detailed in this work, to provide a browser interface that prioritizes ease-of-use, enabling non-specialists to obtain essential quantification and spatial information quickly. PixF was utilized to elucidate receptor co-localization and enhance our understanding of host-pathogen interactions in cattle, offering a reproducible, accessible, and biologically informed analysis pipeline.
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