CellPub Date : 2026-09-22DOI: 10.1016/j.cell.2026.08.043
H. Beryl Rappaport,Natalie A. Petek-Seoane,Tomáš Tyml,Jessica K. Niblo,Felix Mikus,Naomi E. Gilbert,Kurt LaButti,Godwin Ani,Ethan MacVicar,Rachel M. Shepherd,Ignacio de la Higuera,Samuel J. Lord,Gautam Dey,Gordon V. Wolfe,Omaya Dudin,Laura A. Katz,Kenneth M. Stedman,Shahar Sukenik,Kristen Skruber,Frederik Schulz,R. Dyche Mullins,Angela M. Oliverio
{"title":"A geothermal amoeba sets a new upper temperature limit for eukaryotes","authors":"H. Beryl Rappaport,Natalie A. Petek-Seoane,Tomáš Tyml,Jessica K. Niblo,Felix Mikus,Naomi E. Gilbert,Kurt LaButti,Godwin Ani,Ethan MacVicar,Rachel M. Shepherd,Ignacio de la Higuera,Samuel J. Lord,Gautam Dey,Gordon V. Wolfe,Omaya Dudin,Laura A. Katz,Kenneth M. Stedman,Shahar Sukenik,Kristen Skruber,Frederik Schulz,R. Dyche Mullins,Angela M. Oliverio","doi":"10.1016/j.cell.2026.08.043","DOIUrl":"https://doi.org/10.1016/j.cell.2026.08.043","url":null,"abstract":"The study of temperature limits has transformed our understanding of life’s boundaries but has focused on bacteria and archaea. For decades after their discovery, no eukaryote was shown to replicate above 60°C. We isolated a geothermal amoeba, Incendiamoeba cascadensis, that divides at 63°C and is motile up to 64°C. We identified an enrichment of genes related to proteostasis and environmental sensing relative to mesophilic amoebae. Comparative RNA sequencing of I. cascadensis revealed upregulation of pathways related to proteostasis, DNA repair, and membrane trafficking at high temperatures. Predicted proteins of I. cascadensis have distinct biophysical properties, including enrichment of positively charged surface residues similar to bacterial and archaeal hyperthermophiles, which suggests a convergent mechanism for protein stability under temperature stress. Together, our findings expand our understanding of where and how life can persist.","PeriodicalId":9656,"journal":{"name":"Cell","volume":"33 1","pages":""},"PeriodicalIF":64.5,"publicationDate":"2026-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149013595","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"mRNA-encoding CD19-targeting T cell engager for refractory immune thrombocytopenia","authors":"Mengyan Wang,Tingting Liu,Qihua Dai,Jialin Teng,Yaping Wu,Jinchao Jia,Jianfen Meng,Yuning Ma,Hui Shi,Xiaobing Cheng,Honglei Liu,Yutong Su,Junna Ye,Huihui Chi,Zhuochao Zhou,Yue Sun,Yan Wu,Jia Chen,Wei Yin,Peng Gao,Wenjie Song,Rui Lin,Bo Ying,Chengde Yang,Qiongyi Hu","doi":"10.1016/j.cell.2026.08.039","DOIUrl":"https://doi.org/10.1016/j.cell.2026.08.039","url":null,"abstract":"While T cell engagers (TCEs) and chimeric antigen receptor (CAR)-T cell therapy show clinical promise for B cell depletion, challenges regarding safety, efficacy, and durability persist. ABO2203 is a lipid nanoparticle-formulated messenger RNA (mRNA) encoding a CD19-targeting TCE. In transgenic mice, ABO2203 induced complete B cell depletion with attenuated cytokine release compared with TCE protein. In a first-in-human study involving three patients with refractory secondary immune thrombocytopenia, ABO2203 achieved rapid and complete peripheral B cell depletion, with sustained depletion in bone marrow. Patients exhibited durable platelet recovery, improved serology, and reduced disease activity through 6 months of follow-up. ABO2203 was well tolerated, presenting only grade 1 and 2 adverse events without cytokine release syndrome. B cell reconstitution was observed with predominant transitional and naive B cells. These findings establish mRNA-encoded TCEs as a potent and safer therapeutic modality for B cell-mediated autoimmune diseases.","PeriodicalId":9656,"journal":{"name":"Cell","volume":"197 1","pages":""},"PeriodicalIF":64.5,"publicationDate":"2026-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148993805","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
CellPub Date : 2026-09-18DOI: 10.1016/j.cell.2026.08.003
Lucy J. Ryan,Veronique E. Miron
{"title":"Oligodendrocytes in central nervous system health and disease","authors":"Lucy J. Ryan,Veronique E. Miron","doi":"10.1016/j.cell.2026.08.003","DOIUrl":"https://doi.org/10.1016/j.cell.2026.08.003","url":null,"abstract":"Oligodendrocytes are a specialized class of glial cells responsible for myelination, which sustains central nervous system (CNS) function. Though long considered a passive and static cell, the oligodendrocyte is now recognized to actively support axonal energy demands through metabolic provision, modify neural signaling in response to environmental stimuli through adaptive myelination, and repair or regenerate myelin following injury. However, oligodendrocytes become dysfunctional in aging and disease. Emerging research has uncovered that oligodendrocytes can even contribute to CNS pathology themselves, making them novel therapeutic targets for neurological disease. In this review, we highlight key advancements to our understanding of oligodendrocytes in development, homeostasis, aging, and disease and how their heterogeneity influences their roles in these contexts. We highlight outstanding questions that require further study to progress our understanding of oligodendrocytes.","PeriodicalId":9656,"journal":{"name":"Cell","volume":"157 1","pages":""},"PeriodicalIF":64.5,"publicationDate":"2026-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148993823","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Chloroplasts balance energy production and stress resilience via a cold-induced signaling pathway","authors":"Sujuan Duan,Yajun Zeng,Shuang Lin,Meihui Shi,Xiyan Chen,Pengxiang Zhang,Liu Hong,Jiayi Pan,Zhirong Chen,Jinfa Wang,Haiyang Wang,Hong-Bin Wang,Hong-Lei Jin","doi":"10.1016/j.cell.2026.08.041","DOIUrl":"https://doi.org/10.1016/j.cell.2026.08.041","url":null,"abstract":"Chloroplasts are plant-specific organelles for photosynthesis and play crucial roles in stress response. However, how chloroplasts respond to cold stress remains unclear. Here, we identify an rapidly accelerated fifibrosarcoma (RAF)-like bi-kinase module, RAF3/6, as key mediators in chloroplast cold-stress responses. RAF3/6 separately localize to the cytoplasm and plasma membrane under growth conditions. Upon cold stress, RAF3/6 translocate into chloroplasts mediated by the chaperone HSP70-1, where they phosphorylate the PSII components D1 and LHCB1, promoting their redistribution across thylakoid membranes and subsequent degradation, thereby suppressing photosynthetic activity. Concurrently, RAF3/6 phosphorylate the chloroplast-to-nucleus shuttling protein WHY1, promoting its nuclear accumulation and cold-defense gene activation. Notably, the natural variation of RAF6 contains a latitude-correlated SNP that affects its chloroplast import, suggesting an evolutionary cold adaptation. Together, these findings reveal a cold-induced outside-in signaling pathway that links cytoplasmic cold perception to chloroplast remodeling and nuclear defense, establishing a conceptual framework that balances energy production with stress resilience.","PeriodicalId":9656,"journal":{"name":"Cell","volume":"52 1","pages":""},"PeriodicalIF":64.5,"publicationDate":"2026-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148993822","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
CellPub Date : 2026-09-17DOI: 10.1016/j.cell.2026.08.025
Nicholas D. Youngblut,Christopher Carpenter,Arshia Nayebnazar,Abhinav Adduri,Rohan Shah,Chiara Ricci-Tam,Jaanak Prashar,Rajesh Ilango,Noam Teyssier,Silvana Konermann,Patrick D. Hsu,Alexander Dobin,Dave P. Burke,Hani Goodarzi,Yusuf H. Roohani
{"title":"scBaseCount: An AI agent-curated, standardized, auto-updated single-cell data repository","authors":"Nicholas D. Youngblut,Christopher Carpenter,Arshia Nayebnazar,Abhinav Adduri,Rohan Shah,Chiara Ricci-Tam,Jaanak Prashar,Rajesh Ilango,Noam Teyssier,Silvana Konermann,Patrick D. Hsu,Alexander Dobin,Dave P. Burke,Hani Goodarzi,Yusuf H. Roohani","doi":"10.1016/j.cell.2026.08.025","DOIUrl":"https://doi.org/10.1016/j.cell.2026.08.025","url":null,"abstract":"Single-cell RNA sequencing has transformed cell biology by enabling precise transcriptomic measurements of individual cells. The Sequence Read Archive (SRA) is the largest public repository of sequencing reads, yet much of it remains underutilized due to unstandardized metadata. Here, we introduce scBaseCount, a database that leverages an AI agent to automate discovery and metadata extraction and standardize data processing. Built by mining all 10x Genomics datasets, scBaseCount is the largest public repository of single-cell gene expression data, comprising over 502 million cells across 27 organisms and 75 tissues. It offers an unbiased view of the data landscape within the SRA and enables the training of more performant computational models through access to broader phenotypic diversity. Uniform processing enables measurement of both intronic and exonic reads and non-coding gene expression and improves alignment across experiments. Moreover, scBaseCount provides a blueprint for how AI can be leveraged to autonomously curate biological data repositories.","PeriodicalId":9656,"journal":{"name":"Cell","volume":"1 1","pages":""},"PeriodicalIF":64.5,"publicationDate":"2026-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148980633","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
CellPub Date : 2026-09-17DOI: 10.1016/j.cell.2026.08.019
Daphne Koller,Peilong Lu,Laura Cantini,Yuri Pritykin,Jean Yee Hwa Yang,Kanaka Rajan,Martin Steinegger,Mihaela van der Schaar
{"title":"Changing minds: How AI is transforming the life sciences","authors":"Daphne Koller,Peilong Lu,Laura Cantini,Yuri Pritykin,Jean Yee Hwa Yang,Kanaka Rajan,Martin Steinegger,Mihaela van der Schaar","doi":"10.1016/j.cell.2026.08.019","DOIUrl":"https://doi.org/10.1016/j.cell.2026.08.019","url":null,"abstract":"Artificial intelligence (AI) is changing the way biomedical research is conducted by making it possible to integrate diverse types of biological data and tackle questions that were previously difficult to address. At the same time, its growing use also raises important questions about data quality, reliability, interpretability, and how computational predictions should be combined with biological knowledge and experimental validation. In this Voices piece, researchers from diverse disciplines share their perspectives on how AI is advancing their respective fields and highlight both the transformative opportunities and the key challenges that will shape the future of the life sciences.","PeriodicalId":9656,"journal":{"name":"Cell","volume":"17 1","pages":""},"PeriodicalIF":64.5,"publicationDate":"2026-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148980649","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
CellPub Date : 2026-09-17Epub Date: 2026-07-24DOI: 10.1016/j.cell.2026.06.039
Zhiyong Bai, X Edward Zhou, Wei Lü, Juan Du
{"title":"Dynamic dimer-of-dimers architecture defines Mg<sup>2+</sup> transport in human CNNM4.","authors":"Zhiyong Bai, X Edward Zhou, Wei Lü, Juan Du","doi":"10.1016/j.cell.2026.06.039","DOIUrl":"10.1016/j.cell.2026.06.039","url":null,"abstract":"<p><p>Mg<sup>2+</sup> is essential for all living organisms, yet its transport across mammalian membranes remains poorly understood. Here, we present cryoelectron microscopy (cryo-EM) structures of a full-length mammalian Mg<sup>2+</sup> transporter on the plasma membrane, human CNNM4, in outward-facing and occluded states, revealing an unexpected tetrameric assembly organized as a dimer of asymmetric dimers-distinct from the symmetric dimers in prokaryotic homologs and long assumed for eukaryotic CNNMs. We show that Mg<sup>2+</sup>/ATP binding stabilizes the dynamic intracellular domains and promotes tetramerization, while an acidic patch binds additional Mg<sup>2+</sup>, potentially acting as a sensor to couple cytoplasmic Mg<sup>2+</sup> levels to transport activity. Within the transmembrane domain, a key glutamate flips upon Na<sup>+</sup> binding and destabilizes the Mg<sup>2+</sup>-binding site in the outward-facing state, thereby promoting Mg<sup>2+</sup>/Na<sup>+</sup> exchange. Together, these findings establish a mechanistic framework for CNNM transport and regulation that diverges from prokaryotic models and links CNNM function to human physiology and disease.</p>","PeriodicalId":9656,"journal":{"name":"Cell","volume":" ","pages":"6097-6110.e4"},"PeriodicalIF":45.1,"publicationDate":"2026-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13479726/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148583766","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
CellPub Date : 2026-09-17DOI: 10.1016/j.cell.2026.08.042
Eric P. Xing,Le Song
{"title":"A world model of the virtual cell","authors":"Eric P. Xing,Le Song","doi":"10.1016/j.cell.2026.08.042","DOIUrl":"https://doi.org/10.1016/j.cell.2026.08.042","url":null,"abstract":"The prospect of an AI-driven digital organism (AIDO), such as a virtual cell, has recently captured growing excitement and imagination across the AI and biology communities. We envision a virtual cell as a multi-modal, multi-scale, dynamic, and stateful computational system capable of simulating the activity and behavior of a living cell. Such a system could shift cell biology from trial-and-error experimentation with cell-culture models in the wet lab toward systematic simulation of combinatorial interventions in a digital laboratory. In this paper, we propose the world model as an operational framework for realizing this vision—an emerging AI paradigm that supports action-conditioned simulation, counterfactual reasoning and long-horizon planning in complex dynamic environments. In this formulation, a virtual cell world model (VCWM) represents a persistent cellular state and simulates its evolution under genetic, chemical, environmental, and other biological interventions. In contrast to predictive foundation models optimized for specific tasks or endpoints, a VCWM seeks to model the underlying cellular system, allowing interventions to propagate through an evolving state and generate coherent molecular, structural, interactional, and morphological outcomes over time. We outline an architecture, a data framework, training strategy, and evaluation principles for realizing this vision and discuss how existing biological foundation models can serve as its building blocks. We envisage that VCWMs could transform biological discovery from exhaustive experimental search toward structured navigation of learned cellular worlds, enabling counterfactual exploration, rational intervention design, and ultimately more predictive, designable, and programmable cell biology.","PeriodicalId":9656,"journal":{"name":"Cell","volume":"143 1","pages":""},"PeriodicalIF":64.5,"publicationDate":"2026-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148980635","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
CellPub Date : 2026-09-17Epub Date: 2026-08-05DOI: 10.1016/j.cell.2026.07.031
Shorook Naara, Veena Kochat, Xiayu Rao, Emre Arslan, Robert Saddawi-Konefka, Suresh Satpati, Jennifer Garbarino, Jennifer L Anderson, Frederico O Gleber-Netto, Priyadharsini Nagarajan, Travis D Kerr, Shamima Akhter, Sophie Li, R'ay Fodor, Shlomo A Koyfman, Dan Yaniv, Tongxin Xie, Mica Glaun, Michael Bobian, William Israel Padron, Colin Ng, Preethi H Gunaratne, Shiyanth Thevasagayampillai, Michael R Migden, Hussein A Abbas, Patrick K Reville, Kenneth Y Tsai, Daniel J McGrail, Jing Wang, Jeffrey N Myers, Neil D Gross, Kunal Rai, Moran Amit
{"title":"Spatial biology reveals altered macrophage states in immunosuppressed non-melanoma skin cancer.","authors":"Shorook Naara, Veena Kochat, Xiayu Rao, Emre Arslan, Robert Saddawi-Konefka, Suresh Satpati, Jennifer Garbarino, Jennifer L Anderson, Frederico O Gleber-Netto, Priyadharsini Nagarajan, Travis D Kerr, Shamima Akhter, Sophie Li, R'ay Fodor, Shlomo A Koyfman, Dan Yaniv, Tongxin Xie, Mica Glaun, Michael Bobian, William Israel Padron, Colin Ng, Preethi H Gunaratne, Shiyanth Thevasagayampillai, Michael R Migden, Hussein A Abbas, Patrick K Reville, Kenneth Y Tsai, Daniel J McGrail, Jing Wang, Jeffrey N Myers, Neil D Gross, Kunal Rai, Moran Amit","doi":"10.1016/j.cell.2026.07.031","DOIUrl":"10.1016/j.cell.2026.07.031","url":null,"abstract":"<p><p>Immunosuppressed patients with non-melanoma skin cancer experience worse clinical outcomes, yet the tumor immune microenvironment associated with systemic immunosuppression remains incompletely defined. Using integrated single-cell, spatial transcriptomic, multiplex immunofluorescence, and spatial epigenomic profiling across immunocompetent and immunosuppressed tumors, we found that overall immune-cell composition was largely preserved despite differences in immune-cell distribution, spatial organization, and T cell clonality. Immunosuppressed tumors demonstrated reduced intratumoral macrophage densities, decreased T cell clonal diversity, altered antigen-presenting cell and T cell spatial interactions, and distinct fibroblast- and macrophage-associated spatial niches. Multi-cohort validation across complementary spatial and single-cell platforms identified consistent alterations in innate-adaptive immune organization in immunosuppressed tumors. Together, these findings define spatial and functional remodeling of the tumor immune microenvironment under systemic immunosuppression and provide a framework for future therapeutic investigation in high-risk patients.</p>","PeriodicalId":9656,"journal":{"name":"Cell","volume":" ","pages":"6170-6188.e9"},"PeriodicalIF":45.1,"publicationDate":"2026-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13637808/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148677307","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
CellPub Date : 2026-09-17DOI: 10.1016/j.cell.2026.08.052
Lucie Y. Guo,Darren S.J. Ting,Xinyi Su,Alex Aliper,Alex Zhavoronkov,Daniel S.W. Ting
{"title":"Toward autonomous science with agentic artificial intelligence","authors":"Lucie Y. Guo,Darren S.J. Ting,Xinyi Su,Alex Aliper,Alex Zhavoronkov,Daniel S.W. Ting","doi":"10.1016/j.cell.2026.08.052","DOIUrl":"https://doi.org/10.1016/j.cell.2026.08.052","url":null,"abstract":"Artificial intelligence (AI) in biomedicine has evolved from pattern-recognition for medical image analysis to generative models like AlphaFold that predict protein structures. Tools such as Elicit, GPT-Rosalind, and Claude Science now bridge prediction and reasoning through literature synthesis, domain-tuned models, and agentic workbenches. Three recent systems (Co-Scientist, Robin, and Biomni) demonstrated agentic AI capable of generating hypotheses, designing experiments, computational analysis, and refining reasoning through experimental feedback. This perspective traces the emergence of agentic scientific reasoning, discusses scaling laws and autonomous laboratories, and argues that AI’s transformative potential is inseparable from challenges in hallucination, bias, irreproducibility, and dual use. Scientific progress will depend on responsible human-AI collaboration.","PeriodicalId":9656,"journal":{"name":"Cell","volume":"59 1","pages":""},"PeriodicalIF":64.5,"publicationDate":"2026-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148980629","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}