{"id":245581,"date":"2026-10-17T17:10:40","date_gmt":"2026-10-17T22:10:40","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2026\/10\/reconstructing-signaling-histories-of-single-cells-via-perturbation-screens-and-transfer-learning"},"modified":"2026-10-17T17:10:40","modified_gmt":"2026-10-17T22:10:40","slug":"reconstructing-signaling-histories-of-single-cells-via-perturbation-screens-and-transfer-learning","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2026\/10\/reconstructing-signaling-histories-of-single-cells-via-perturbation-screens-and-transfer-learning","title":{"rendered":"Reconstructing signaling histories of single cells via perturbation screens and transfer learning"},"content":{"rendered":"

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You want to reprogram a cell to heal a disease, but you don\u2019t know what instructions it has already received. Throughout their lives, cells constantly receive chemical signals from their environment that tell them what to do and what to become. If scientists want to manipulate these cells for medical treatments, they first need to decode their \u201csignal history.\u201d However, reading this history inside living, developing tissues has been incredibly difficult\u2014until now. https:\/\/www.nature.com\/articles\/s41592-026-03213-8<\/a><\/p>\n

To solve this, researchers created a clever two-step workaround. First, in the lab, they exposed human stem cells to thousands of different chemical signals, creating a massive \u201cdictionary\u201d of how cells physically react to specific instructions. Next, they trained an artificial intelligence program named IRIS to memorize this dictionary, teaching it to recognize the unique \u201cfingerprints\u201d that different signals leave behind on a cell.<\/p>\n

Once IRIS was trained, the researchers let it act as a detective on real, living mouse embryos. By looking at the current state of the embryo\u2019s single cells, IRIS successfully reconstructed their past. It figured out exactly which chemical signals the cells had experienced to become the specific types they are today, revealing hidden differences between seemingly identical cells and tracing the exact chemical journey cells take as they develop.<\/p>\n

Ultimately, this breakthrough reveals that cells across different types share a common, universal language of chemical signals. By giving scientists a scalable, highly accurate tool to map out how cells communicate and develop in the living body, this technology paves the way for designing highly targeted medical therapies and precisely engineering cell behavior.<\/p>\n

#machinelearning #cellfateengineering #ComputationalBiology #CellularReprogramming<\/p>\n

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IRIS learns conserved signaling representations from in vitro perturbation data to reconstruct signaling states and histories across diverse in vivo cellular contexts.<\/p>\n

Continue reading \u201cReconstructing signaling histories of single cells via perturbation screens and transfer learning\u201d | ><\/a><\/div><\/p>\n","protected":false},"excerpt":{"rendered":"

You want to reprogram a cell to heal a disease, but you don\u2019t know what instructions it has already received. Throughout their lives, cells constantly receive chemical signals from their environment that tell them what to do and what to become. If scientists want to manipulate these cells for medical treatments, they first need to [\u2026]<\/p>\n","protected":false},"author":709,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11,19,6],"tags":[],"class_list":["post-245581","post","type-post","status-publish","format-standard","hentry","category-biotech-medical","category-chemistry","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/245581","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/users\/709"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=245581"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/245581\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=245581"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=245581"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=245581"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}