{"id":12253,"date":"2026-03-04T14:11:07","date_gmt":"2026-03-04T05:11:07","guid":{"rendered":"https:\/\/www.ibs.re.kr\/bimag\/?post_type=tribe_events&#038;p=12253"},"modified":"2026-03-04T14:11:07","modified_gmt":"2026-03-04T05:11:07","slug":"temporal-tissue-dynamics-from-a-spatial-snapshot-kang-min-lee","status":"publish","type":"tribe_events","link":"https:\/\/www.ibs.re.kr\/bimag\/event\/temporal-tissue-dynamics-from-a-spatial-snapshot-kang-min-lee\/","title":{"rendered":"Temporal tissue dynamics from a spatial snapshot &#8211; Kang Min Lee"},"content":{"rendered":"<p>In this talk, we discuss the paper &#8220;Temporal tissue dynamics from a spatial snapshot&#8221; by Jonathan Somer et al., Nature, 2026.<\/p>\n<p><strong>Abstract<\/strong><\/p>\n<p>Physiological and pathological processes such as inflammation and cancer emerge from interactions between cells over time<sup><a id=\"ref-link-section-d656194882e385\" title=\"Adler, M., Chavan, A. R. &amp; Medzhitov, R. Tissue biology: in search of a new paradigm. Annu. Rev. Cell Dev. Biol. 39, 67\u201389 (2023).\" href=\"https:\/\/www.nature.com\/articles\/s41586-025-09876-1#ref-CR1\" data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 1\">1<\/a><\/sup>. However, methods to follow cell populations over time within the native context of a human tissue are lacking because a biopsy offers only a single snapshot. Here we present one-shot tissue dynamics reconstruction (OSDR), an approach to estimate a dynamical model of cell populations based on a single tissue sample. OSDR uses spatial proteomics to learn how the composition of cellular neighbourhoods influences division rate, providing a dynamical model of cell population change over time. We apply OSDR to human breast cancer data<sup><a id=\"ref-link-section-d656194882e389\" title=\"Danenberg, E. et al. Breast tumor microenvironment structures are associated with genomic features and clinical outcome. Nat. Genet. 54, 660\u2013669 (2022).\" href=\"https:\/\/www.nature.com\/articles\/s41586-025-09876-1#ref-CR2\" data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\">2<\/a>,<a id=\"ref-link-section-d656194882e389_1\" title=\"Wang, X. Q. et al. Spatial predictors of immunotherapy response in triple-negative breast cancer. Nature 621, 868\u2013876 (2023).\" href=\"https:\/\/www.nature.com\/articles\/s41586-025-09876-1#ref-CR3\" data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\">3<\/a>,<a id=\"ref-link-section-d656194882e392\" title=\"Fischer, J. R. et al. Multiplex imaging of breast cancer lymph node metastases identifies prognostic single-cell populations independent of clinical classifiers. Cell Rep. Med. 4, 100977 (2023).\" href=\"https:\/\/www.nature.com\/articles\/s41586-025-09876-1#ref-CR4\" data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 4\">4<\/a><\/sup>, and reconstruct two fixed points of fibroblasts and macrophage interactions<sup><a id=\"ref-link-section-d656194882e396\" title=\"Adler, M. et al. Principles of cell circuits for tissue repair and fibrosis. iScience 23, 100841 (2020).\" href=\"https:\/\/www.nature.com\/articles\/s41586-025-09876-1#ref-CR5\" data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 5\">5<\/a>,<a id=\"ref-link-section-d656194882e399\" title=\"Zhou, X. et al. Circuit design features of a stable two-cell system. Cell 172, 744\u2013757.e17 (2018).\" href=\"https:\/\/www.nature.com\/articles\/s41586-025-09876-1#ref-CR6\" data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 6\">6<\/a><\/sup>. These fixed points correspond to hot and cold fibrosis<sup><a id=\"ref-link-section-d656194882e403\" title=\"Miyara, S. et al. Cold and hot fibrosis define clinically distinct cardiac pathologies. Cell Syst. 16, 101198 (2025).\" href=\"https:\/\/www.nature.com\/articles\/s41586-025-09876-1#ref-CR7\" data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 7\">7<\/a><\/sup>, in agreement with co-culture experiments that measured these dynamics directly<sup><a id=\"ref-link-section-d656194882e407\" title=\"Mayer, S. et al. The tumor microenvironment shows a hierarchy of cell-cell interactions dominated by fibroblasts. Nat. Commun. 14, 5810 (2023).\" href=\"https:\/\/www.nature.com\/articles\/s41586-025-09876-1#ref-CR8\" data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 8\">8<\/a><\/sup>. We then use OSDR to discover a pulse-generating excitable circuit of T and B cells in the tumour microenvironment, suggesting temporal flares of anticancer immune responses. Finally, we study longitudinal biopsies from a triple-negative breast cancer clinical trial<sup><a id=\"ref-link-section-d656194882e412\" title=\"Wang, X. Q. et al. Spatial predictors of immunotherapy response in triple-negative breast cancer. Nature 621, 868\u2013876 (2023).\" href=\"https:\/\/www.nature.com\/articles\/s41586-025-09876-1#ref-CR3\" data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 3\">3<\/a><\/sup>, in which OSDR predicts the collapse of the tumour cell population in responders but not in non-responders, based on early-treatment biopsies. OSDR can be applied to a wide range of spatial proteomics assays to enable analysis of tissue dynamics based on patient biopsies.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>In this talk, we discuss the paper &#8220;Temporal tissue dynamics from a spatial snapshot&#8221; by Jonathan Somer et al., Nature, 2026. Abstract Physiological and pathological processes such as inflammation and &hellip; <\/p>\n<p class=\"link-more\"><a href=\"https:\/\/www.ibs.re.kr\/bimag\/event\/temporal-tissue-dynamics-from-a-spatial-snapshot-kang-min-lee\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;Temporal tissue dynamics from a spatial snapshot &#8211; Kang Min Lee&#8221;<\/span><\/a><\/p>\n","protected":false},"author":11,"featured_media":0,"template":"","meta":{"_editorskit_title_hidden":false,"_editorskit_reading_time":0,"_editorskit_is_block_options_detached":false,"_editorskit_block_options_position":"{}","_uag_custom_page_level_css":"","_tribe_events_status":"","_tribe_events_status_reason":"","footnotes":""},"tags":[],"tribe_events_cat":[219],"class_list":["post-12253","tribe_events","type-tribe_events","status-publish","hentry","tribe_events_cat-journal-club","cat_journal-club"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Temporal tissue dynamics from a spatial snapshot - Kang Min Lee - Biomedical Mathematics Group<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.ibs.re.kr\/bimag\/event\/temporal-tissue-dynamics-from-a-spatial-snapshot-kang-min-lee\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Temporal tissue dynamics from a spatial snapshot - Kang Min Lee - Biomedical Mathematics Group\" \/>\n<meta property=\"og:description\" content=\"In this talk, we discuss the paper &#8220;Temporal tissue dynamics from a spatial snapshot&#8221; by Jonathan Somer et al., Nature, 2026. 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