Spatiotemporal transcriptomics reveals pathogenesis of viral myocarditis
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Abstract
ABSTRACT A significant fraction of sudden death in children and young adults is due to myocarditis, an inflammatory disease of the heart, most often caused by viral infection. Here we used integrated single-cell and spatial transcriptomics to create a high-resolution, spatially resolved map of reovirus-induced myocarditis in neonatal murine hearts. We assayed hearts collected at three timepoints after reovirus infection and studied the temporal, spatial, and cellular heterogeneity of host-virus interactions. We further assayed the intestine, the primary site of reovirus infection to establish a full chronology of molecular events that ultimately lead to myocarditis. We implemented targeted enrichment of viral transcripts to establish the cellular targets of the virus in the intestine and the heart. Our data give insight into the cell-type specificity of innate immune responses, and into the transcriptional states of inflamed cardiac cells in reovirus-infected heart. We find that inflamed endothelial cells recruit cytotoxic T cells and undergo pyroptosis in the myocarditic tissue. Analyses of spatially restricted gene expression in myocarditic regions and the border zone around those regions identified immune-mediated cell-type specific injury and stress responses. Overall, we observe a dynamic and complex network of cellular phenotypes and cell-cell interactions associated with viral myocarditis.
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Viral myocarditis models (reovirus-induced and coxsackievirus B3-induced) reveal pronounced spatial heterogeneity of myocardial injury, dense immune infiltration, and strong upregulation of interferon-related antiviral pathways.
“Both viral models, analyzed with spatial and single-cell transcriptomics, reveal pronounced spatial heterogeneity of myocardial injury, dense infiltration by immune cells (notably T cells and macrophages), and strong upregulation of interferon-related antiviral pathways.”
From Elucidating cardiac fibroblasts heterogeneity and activation during experimental autoimmune myocarditis using spatial transcriptomics. (2025) · cites this paper as [12]
The sections “Spatiotemporal transcriptomics of reovirus-infected hearts” and “Spatially restricted gene expression in myocarditic tissue” report spatially distinct injury, immune-cell infiltration, and interferon-related responses in the reovirus model. The Discussion says the cited paper did not study the CVB3 model: it describes a separate single-cell study of CVB3 and states that study did not explore spatial restriction or heterogeneity in interferon responses. The claim therefore incorrectly extends the combined spatial and single-cell findings to both models; the reovirus results also place most macrophages outside myocarditic regions at 7 days post-infection. (LLM, conf=0.92)
Experimental — accuracy not yet measuredBoth autoimmune and viral myocarditis models demonstrate pivotal roles for myeloid-fibroblast communication and patchy spatial patterns of injury, underscoring shared pathways in tissue remodelling.
“However, both models demonstrate pivotal roles for myeloid–fibroblast communication and patchy spatial patterns of injury, underscoring shared pathways in tissue remodelling.”
From Elucidating cardiac fibroblasts heterogeneity and activation during experimental autoimmune myocarditis using spatial transcriptomics. (2025) · cites this paper as [12]
The section ‘Spatially restricted gene expression in myocarditic tissue’ (page not supplied) reports distinct injured regions in reovirus-infected hearts and a fibroblast Ccl2–macrophage Ccr2 recruitment pathway. The paper studies viral myocarditis, not an autoimmune model, so it does not establish that both models share these patterns or tissue-remodelling pathways. (LLM, conf=0.88)
Experimental — accuracy not yet measuredThe autoimmune EAM model recapitulates immune-driven tissue damage and fibroblast activation, but lacks the direct cytopathic effects and robust early interferon signatures seen in viral myocarditis.
“In contrast, our autoimmune (EAM) model recapitulates immune-driven tissue damage and fibroblast activation, but lacks the direct cytopathic effects and robust early interferon signatures seen in viral myocarditis.”
From Elucidating cardiac fibroblasts heterogeneity and activation during experimental autoimmune myocarditis using spatial transcriptomics. (2025) · cites this paper as [12]
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Single-cell and spatial transcriptomics: Advances in heart development and disease applications
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“Cytotoxic T cells were recruited by inflamed endothelial cells in myocarditis tissue, and the immunemediated cell type-specific injury and stress responses were also observed [123].”
BackgroundHudson, J. A., Ferrand, R. A., Gitau, S. N., Mureithi, M., Maffia, P., Alam, S. R., & Shah, A. S. V. (2024) · Circulation Research · doi:10.1161/circresaha.124.323890 · Cited by 36 · see citing works
Notch-mediated cellular interactions between vascular cells
Cuervo, H., Mühleder, S., García-Gónzalez, I., & Benedito, R. (2023) · Current Opinion in Cell Biology · doi:10.1016/j.ceb.2023.102254 · Cited by 32 · see citing works
Understanding virus–host interactions in tissues
Speranza, E. E. (2023) · Nature Microbiology · doi:10.1038/s41564-023-01434-7 · Cited by 29 · see citing works
Inhibition of NETosis via PAD4 alleviated inflammation in giant cell myocarditis
Hu, Z., Hua, X., Mo, X., Chang, Y., Chen, X., Xu, Z., Tao, M., Hu, G., & Song, J. (2023) · iScience · doi:10.1016/j.isci.2023.107162 · Cited by 24 · see citing works
“Recently, some single-cell RNA sequencing studies on viral myocarditis have been reported.(65,66) The cell populations reported in viral myocarditis were roughly the same but also different.”
BackgroundWu, M., Yang, Y., Cai, Y., Jiang, S., Xiao, H., Miao, C., Jin, X., Sun, Y., Bi, X., Hong, Z., et al. (2024) · Advanced Science · doi:10.1002/advs.202400486 · Cited by 21 · see citing works
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“…we analyzed five publicly available mouse scRNA-seq datasets from the Gene Expression Omnibus database: GSE213486 [7] and GSE227437 [8] for ICI-related myocarditis; GSE174458 [36] and GSE189636 [37] for viral myocarditis; and GSE142564 [38] for autoimmune myocarditis (Additional file 1: Table S5).”
Spatially resolved microRNA expression in tissues: technologies, challenges, and opportunities
Robles-Remacho, A., Zou, Y., Grillo, M., & Nilsson, M. (2025) · Trends in Genetics · doi:10.1016/j.tig.2025.06.005 · Cited by 22 · see citing works
Kim, S., Wallin, J. J., Ghosheh, Y., Zahoor, M. A., Vásquez, J. D. S., Nkongolo, S., Fung, S. K., Méndez, P., Feld, J. J., Janssen, H. L. A., et al. (2023) · JHEP Reports · doi:10.1016/j.jhepr.2023.100817 · Cited by 20 · see citing works
“40 Lastly, although scRNAseq provides the added bene fi t of cellular transcriptional responses, the ability to detect transcripts in the 10x Genomics technology suggests that standard protocols, such as quantitative PCR, could be used to speci fi cally assess viral replication in FNAs without the…”
Spatial transcriptomics maps host–gut microbiome biogeography at high resolution
Ntekas, I., Takayasu, L., McKellar, D. W., Grodner, B., Holdener, C., Schweitzer, P. A., Park, Y. S., Sauthoff, M., Shi, Q., Brito, I., et al. (2026) · Nature Microbiology · doi:10.1038/s41564-026-02286-7 · Cited by 20 · see citing works
“…assess the Kraken2-classified microbial counts occurring in non-intestinal tissues for the low-resolution platform we realigned previously published Visium and STRS libraries of mock-infected C57BL/6J 11-day-old mice with and without polyadenylation as described in the corresponding studies 15,21 .”
Self-citationLema, D. A., Jakobsson, G., Daoud, A. R., Elias, D. S., Talor, M. V., Rattik, S., Grönberg, C., Kalinoski, H. M., Gyllenbäck, E. J., Wang, N., et al. (2024) · Circulation Heart Failure · doi:10.1161/circheartfailure.124.011729 · Cited by 17 · see citing works
Advancing Cardiovascular Research With Single-Cell and Spatial Transcriptomics
Li, K., Samiei, S., Pikulska, D., Foecking, S., & Kuppe, C. (2026) · Circulation Research · doi:10.1161/circresaha.125.325795 · Cited by 15 · see citing works
Vanguri, R. S., Smithy, J. W., Li, Y., Zhuang, M., Maher, C. A., Aleynick, N., Peng, X., Al‐Ahmadie, H. A., Funt, S. A., Rosenberg, J. E., et al. (2023) · The Journal of Pathology · doi:10.1002/path.6197 · Cited by 14 · see citing works
“We assessed the spatial organization of the tumor micro-environment using neighborhood enrichment scores, which were implemented in the squidpy framework [17] and have been used in other studies [18,19].”
Structure and dynamics of enterovirus genotype networks
Dábilla, N., & Dolan, P. (2024) · Science Advances · doi:10.1126/sciadv.ado1693 · Cited by 12 · see citing works
Liang, Q., Wang, J., Nong, Q., Tao, S., & Fang, D. (2025) · Frontiers in Immunology · doi:10.3389/fimmu.2025.1645382 · Cited by 12 · see citing works
“For example, Nie et al. reported enhanced dendritic cell activity and fi broblast – immune cell interactions in HCM myocardium (55), while Bos et al. demonstrated spatially restricted immune niches in cardiac tissue (56).”
Jiang, S., Freedman, J., Mantri, M., Maymí, V. I., Leddon, S. A., Schweitzer, P. A., Bhandari, S., Holdener, C., Ntekas, I., Vollmers, C., et al. (2026) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2504742123 · Cited by 12 · see citing works
“…AIR - SPACE opens avenues for exploring adaptive immune responses in a variety of contexts, for example, investigation into immune responses to various pathogens (48, 49), autoimmune conditions (50), gut microbiome–immune relationships (51, 52), or tertiary lymphoid structures within cancers (53).”
Self-citationTechnical Advances and Applications of Spatial Transcriptomics
Liang, G., Yin, H. Z., & Ding, F. (2023) · GEN Biotechnology · doi:10.1089/genbio.2023.0032 · Cited by 12 · see citing works
“75 To achieve an even higher resolution, spatial enhanced resolution omics-sequencing (Stereo-seq) replaces microwells by 200 nm DNA nanoball array with 500 or 715 nm center-to-center distance to capture mRNA, enabling its use in cellular and sub-cellular studies.”
Advances in Single‐Cell Sequencing for Infectious Diseases: Progress and Perspectives
Lyu, M., Liu, Y., Zhou, J. F., Lai, H., Ruan, H., Wu, D., Shun, Z., Zhou, X., Ma, W., Huang, Y., et al. (2025) · Advanced Science · doi:10.1002/advs.202415678 · Cited by 11 · see citing works
Bone mineral density affects tumor growth by shaping microenvironmental heterogeneity
Whitman, M. A., Mantri, M., Spanos, E., Estroff, L. A., Vlaminck, I. D., & Fischbach, C. (2024) · Biomaterials · doi:10.1016/j.biomaterials.2024.122916 · Cited by 11 · see citing works
Self-citationSpatial-Omics Methods and Applications
Kulasinghe, A., Berrell, N., Donovan, M. L., & Nilges, B. S. (2025) · Methods in molecular biology · doi:10.1007/978-1-0716-4276-4_5 · Cited by 10 · see citing works
Zuo, D., Peng, Y., Zhao, G., Cheng, Z., Luo, M., Lv, D., Chang, S., Li, N., Huang, Y., Li, X., et al. (2025) · Advanced Science · doi:10.1002/advs.202414530 · Cited by 9 · see citing works
Han, H., Zou, L., Fang, J., Xu, X., Xu, D., Lyu, X., Zheng, J., & Hu, N. (2025) · ACS Nano · doi:10.1021/acsnano.5c07559 · Cited by 9 · see citing works
Osório, T. G., Pavesi, E., Abou‐El‐Ardat, K., Qureshi, N., Cassidy, L., John, T. L. S., Sirotin, N., & Piechowski‐Jóźwiak, B. (2025) · Frontiers in Aging · doi:10.3389/fragi.2025.1656727 · Cited by 10 · see citing works
Microbial Pathogenesis in the Era of Spatial Omics
Lempke, S. L., May, D., & Ewald, S. E. (2023) · Infection and Immunity · doi:10.1128/iai.00442-22 · Cited by 8 · see citing works
“In reovirus-infected hearts, this approach showed cytotoxic T cells undergoing pyroptotic cell death contribute to myocardial pathology (103).”
BackgroundSpector, S. N., Noval, M. G., & Stapleford, K. A. (2025) · PLoS neglected tropical diseases · doi:10.1371/journal.pntd.0012534 · Cited by 6 · see citing works
“It is known that endothelial cells produce a robust type-I interferon (IFN-I) response, expressing a high level of interferon-stimulated genes (ISGs) at a basal level, and with strong induction after infection [37,38].”
Spatial Transcriptomics to Study Virus-Host Interactions
Holdener, C., Jiang, S., Sutherland, D. M., Griswold, K. A., Dermody, T. S., Parker, J. S. L., & Vlaminck, I. D. (2025) · Annual Review of Virology · doi:10.1146/annurev-virology-092623-104926 · Cited by 7 · see citing works
“One important use of ST is examining tissues over time to assess viral spread, comparing the cell types infected early and late during infection, and defining the types of immune and inflammatory cells that infiltrate the tissue (8, 47).”
InfluentialSelf-citationCharting the cardiac landscape: Advances in spatial transcriptomics for heart biology
Farah, E. N., Diaz, J. T., Bloomekatz, J. E., & Chi, N. C. (2025) · Seminars in Cell and Developmental Biology · doi:10.1016/j.semcdb.2025.103648 · Cited by 6 · see citing works
Gingerich, I. K., Goods, B. A., & Frost, H. R. (2025) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1013759 · Cited by 5 · see citing works
Inflammatory Control of Viral Infection
Chakravarty, S., Chakravarti, R., & Chattopadhyay, S. (2023) · Viruses · doi:10.3390/v15071579 · Cited by 5 · see citing works
Baumeier, C., Harms, D., Altmann, B., Aleshcheva, G., Wiegleb, G., Bock, C. –., Escher, F., & Schultheiß, H. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25115845 · Cited by 5 · see citing works
Ntekas, I., Takayasu, L., McKellar, D. W., Grodner, B., Holdener, C., Schweitzer, P. A., Sauthoff, M., Shi, Q., Brito, I., & Vlaminck, I. D. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.11.18.624127 · Cited by 5 · see citing works
Self-citationFiske, K. L., Brigleb, P. H., Sanchez, L. M., Hinterleitner, R., Taylor, G. M., & Dermody, T. S. (2024) · Journal of Virology · doi:10.1128/jvi.01147-24 · Cited by 4 · see citing works
Viral Heart Disease: Diagnosis, Management, and Mechanisms
Liu-Fei, F., McKinney, J., & McManus, B. M. (2023) · Canadian Journal of Cardiology · doi:10.1016/j.cjca.2023.03.020 · Cited by 4 · see citing works
In situ polyadenylation enables spatial mapping of the total transcriptomePreprint
McKellar, D. W., Mantri, M., Hinchman, M. M., Parker, J. S. L., Sethupathy, P., Cosgrove, B. D., & Vlaminck, I. D. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.04.20.488964 · Cited by 4 · see citing works
Self-citationPD-1/PD-L1 Signaling in Non-ICI Myocarditis
Yousif, L. I. E., Sijtema, A. G., Appels, Y., van den Berg, P. F., Aboumsallem, J. P., Manintveld, O. C., Duncker, D. J., de Boer, R. A., & Meijers, W. C. (2026) · JACC Basic to Translational Science · doi:10.1016/j.jacbts.2026.101539 · Cited by 3 · see citing works
Three modes of viral adaption by the heart
Griffiths, C. D., Shah, M., Shao, W., Borgman, C. A., & Janes, K. A. (2024) · Science Advances · doi:10.1126/sciadv.adp6303 · Cited by 3 · see citing works
Joachimbauer, A., Cadosch, N., Gil‐Cruz, C., Perez‐Shibayama, C., Frischmann, K., Payne, E., Hanka, I., Maeder, M. T., Rickli, H., Tanner, F. C., et al. (2026) · JACC Basic to Translational Science · doi:10.1016/j.jacbts.2025.101458 · Cited by 2 · see citing works
Quintana, J. F., Chandrasegaran, P. R. G., Sinton, M. C., Briggs, E. M., Otto, T. D., Heslop, R., Bentley-Abbot, C., Loney, C., de Lecea, L., Mabbott, N. A., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.03.25.485502 · Cited by 2 · see citing works
Lee, M., Vetter, J., & Eichwald, C. (2025) · Virology · doi:10.1016/j.virol.2025.110423 · Cited by 1 · see citing works
Xie, F., & LI, J. (2025) · Medicine · doi:10.1097/md.0000000000043033 · Cited by 1 · see citing works
“…of immune cells, intercellular cross-talk mechanisms, cell differentiation trajectories, and key signaling pathways involved in VMC. [4,15,23] This study systematically investigates critical cellular subtypes and underlying immune regulatory networks in VMC, aiming to discover novel…”
Cohen, C. D., He, J. H., Bermea, K. C., Rousseau, S. T., Luo, A., Ebenebe, O. V., Casella, K., Palescandolo, E., Lavine, K. J., Shenderov, E., et al. (2026) · Journal of Molecular and Cellular Cardiology Plus · doi:10.1016/j.jmccpl.2025.100743 · Cited by 1 · see citing works
Antiviral innate immunity in myocarditis: mechanisms and emerging therapeutics
Hammons, C., Mohanram, A., Nguyen, P. T., Lu, W., Jacobs, B., Li, X. C., Zhang, Z., & Xing, J. (2026) · Experimental & Molecular Medicine · doi:10.1038/s12276-026-01822-z · Cited by 2 · see citing works
Kern, F., Wagner, V., Wahl, V., Ludwig, N., Graf, S., Amand, J., Foltz, A. G., Atkins, M., Kedir, B., Hadjilaou, A., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.11.04.621811 · Cited by 2 · see citing works
Stefańska, M., Sarad, K., Kot, M., Ruciński, M., Strzelec, M., Krzysztofik, D., & Lindberg, E. L. (2025) · Biochemistry and biophysics reports · doi:10.1016/j.bbrep.2025.102344
“To further expand the relevance of our findings in the context of infectious myocarditis, we provide a comparative perspective, refer-encing recent spatial transcriptomics studies on viral models: reovirus-induced [12] and coxsackievirus B3-induced fulminant myocarditis [13].”
Alqahtani, S. M. (2022) · Journal of Biosciences and Medicines · doi:10.4236/jbm.2022.1012006
“This study reported that spatial transcriptomics and single-cell based RNA sequencing provided detailed processes of myocarditis at different time points by exploring the molecular changes in-S Journal of Biosciences and Medicines duced by the virus [73].”
14th International dsRNA Virus Symposium, Banff, Alberta, Canada, 10-14 October 2022
Desselberger, U. (2022) · Virus Research · doi:10.1016/j.virusres.2022.199032
Lema, D. A., Jakobsson, G., Daoud, A. R., Talor, M. V., Rattik, S., Grönberg, C., Kalinoski, H. M., Gyllenbäck, E. J., Liberg, D., Șchiopu, A., et al. (2023) · Research Square · doi:10.21203/rs.3.rs-3007053/v1
Griffiths, C. D., Sweatt, A. J., & Janes, K. A. (2025) · Current Opinion in Systems Biology · doi:10.1016/j.coisb.2025.100562
Single-cell transcriptomics reveals targeted modulation of inflammatory repertoire by SOCE blockers
Stephanou, A., Mantri, M., Shankaranarayanan, D., Li, C., Lagman, M., Xiang, J., Pan, C., Sun, Y., Muthukumar, T., Machaca, K., et al. (2026) · Human Immunology · doi:10.1016/j.humimm.2026.111687
Self-citationHinchman, M. M., Miller, A. D., & Parker, J. S. L. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.02.25.707952
Self-citationWong, H. E., & Boyle, J. P. (2026) · Journal of Veterinary Diagnostic Investigation · doi:10.1177/10406387251415457
“85 Monoclonal antibodies to cleaved pMLKL, cleaved gasdermin D, and ferroptosis pathway components have provided pathway insights in mouse models, 51,90,104 but have limitations in cross-species analysis.”
PET Imaging of Cardiac Inflammation in Viral Myocarditis Using a DPP4‐Targeted Probe
Gao, W., Hu, W., Tang, D., Liu, X., Yu, K., Feng, L., Liao, M., Lin, W., Zhu, W., Rajagopalan, S., et al. (2026) · Advanced Science · doi:10.1002/advs.202516904
“Next, public single-cell RNA sequencing datasets of control hearts and hearts infected with either T1L [ 30 ] or CVB3 viruses [ 28 ] were re-analyzed to identify the major cellular sources of Dpp4 expression.”
Decoding cardiac homeostasis and injury: the evolving landscape of spatial transcriptomics
Hanna, A. (2026) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2026.1772507
“Utilizing Visium ST and Slide-seq to map the microanatomy of viral myocarditis in neonatal mice, Mantri et al. (2022) revealed that tissue injury and host response are highly spatially restricted to localized myocarditic micro-lesions showing an accumulation of Cxcl9 -high endothelial cells and…”
STID: A Standardized Spatial Transcriptomic Analysis Framework for Infectious DiseasesPreprint
Qin, Y., Peng, Y., Chen, Q., Chen, J., Ren, P., Deng, H., Wang, D., Liu, X., Ou, Z., Deng, Z., et al. (2026) · SSRN Electronic Journal · doi:10.64898/2026.05.24.727492
“Different pathogen types and tissue/organ contexts contribute to the pronounced spatial heterogeneity of infectious diseases 4,8,9,11,12,14 .”
IL-1–Activated Inflammatory Cardiac Fibroblasts Exacerbate Acute Coxsackievirus B3 Myocarditis
Elias, D. S., Jo, W., Talor, M. V., Jaime, C. M., Daoud, A. R., Sulkaj, I., Květoň, M., Wang, N., Fabián, O., Melenovský, V., et al. (2026) · JACC Basic to Translational Science · doi:10.1016/j.jacbts.2026.101637
Inflammatory Fibroblasts Ready for Their Close-up
Rizakou, A. (2026) · JACC Basic to Translational Science · doi:10.1016/j.jacbts.2026.101680
Xie, Y., You, Y., Jiang, Y., Duan, X., & Han, B. (2026) · Mediators of Inflammation · doi:10.1155/mi/2395578 · Cited by 1 · see citing works
“In addition, because VMC lesions are often focal, locally enriched T-cell signals may have been diluted in whole-heart dissociation-based scRNA-seq analysis, as supported by spatial transcriptomic evidence showing recruitment of cytotoxic T cells to lesion areas by in fl amed endothelial cells [25].”
Yan, Y., Li, H., Nie, J., Jiang, J., Li, P., & Wang, D. W. (2026) · The Journal of Cardiovascular Aging · doi:10.20517/jca.2026.37
Li, X., Yang, Z., Li, J., Cao, H., Xu, K., Shen, J., Wang, Y., Gomaa, S. E., Cheng, G., Teng, T., et al. (2026) · The FASEB Journal · doi:10.1096/fj.202502942rrr
“Madhav Mantri and his research group successfully analyzed the spatiotemporal transcriptome characteristics of heart tissue infected with reovirus by employing integrated single-cell sequencing and spatial RNA sequencing methods [106].”
Yan, Y., Sun, Z., He, Y., Zhuang, Y., & Jiang, J. (2026) · Pharmacological Research · doi:10.1016/j.phrs.2026.109668
Viral evolution of T1L mammalian orthoreovirus enhances breast cancer stem-like cell killing
Ortiz, N. I. R., Boytim, E., Miller, K., Dohlen, G. V., Hwang, J. H., Danthi, P., & Ostrander, J. H. (2026) · npj Breast Cancer · doi:10.1038/s41523-026-01053-5
Artificial intelligence in spatial transcriptomics: a review of methods, datasets, and directions
Sharma, N., Şen, R., & Erdem, C. (2026) · Briefings in Bioinformatics · doi:10.1093/bib/bbag569
Standardizing spatial transcriptomic analysis for infectious diseases with STID
Qin, Y., Peng, Y., Chen, Q., Chen, J., Ren, P., Deng, H., Wang, D., Liu, X., Ou, Z., Deng, Z., et al. (2026) · Cell Reports Methods · doi:10.1016/j.crmeth.2026.101642
- Authors
- Mantri, M., Hinchman, M. M., McKellar, D. W., Wang, M. F. Z., Cross, S. T., Parker, J. S. L., & De Vlaminck, I.
- Affiliations
- Cornell University (US)
- Corresponding author
- Parker, John S. L.
- ORCID
- Venue
- Nature Cardiovascular Research
- Published
- 2022-10-10
- Volume
- 1
- Issue
- 10
- Pages
- 946-960
- ISSN
- 2731-0590 (ISSN-L)
- PMC
- PMC10035375
- OpenAlex
- W4304084043
- Cited by
- 74
- References
- 64
- Citations by year
- 2026: 22 · 2025: 17 · 2024: 15 · 2023: 13 · 2022: 7
- FWCI
- 9.05
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Nature Cardiovascular Research (publishedVersion, cc-by)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- U.S. Department of Health & Human Services | NIH | National Institute of Allergy and Infectious Diseases (DP2AI138242, R21AI144557)
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Viral Infections and Immunology Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac Fibrosis and Remodeling
- Keywords
- viral myocarditis, reovirus, host-virus interaction, pyroptosis, endothelial cells, cytotoxic T lymphocytes, intestinal infection, neonatal mouse heart, spatial transcriptomics, single-cell transcriptomics, sudden cardiac death, myocardial injury, cell-cell interactions
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