Intratumor bacteria represent an understudied yet influential component of the cancer ecosystem, critically impinging cancer progression. In PyMT breast tumors, we find intracellular bacteria, when residing in cancer cell cytosol, promote metastasis by triggering cytosolic double-stranded DNA (dsDNA) accumulation, which in turn activates the tumor intrinsic cGAS-STING-interleukin (IL)-17B pathway and redirects neutrophils toward a protumor phenotype that inhibits cytotoxic T cells. By contrast, the same strain of bacteria, when present extracellularly, induces antitumor neutrophil activity without engaging the STING pathway. Physiologically, eliminating intracellular bacteria, or therapeutically introducing extracellular bacteria components, abrogates immunosuppression and prevents postsurgical metastatic recurrence in preclinical models. Clinically, the bacteria invasion signature we have developed is associated with poor prognosis in patients with breast cancer. In summary, the spatial interplay between bacteria and host cells in metastatic niches can shape divergent tumor immunity, highlighting bacterial-host engagement as a crucial determinant of cancer immune regulation and a potential therapeutic target.
{"title":"Divergent tumor immunity determined by bacteria-cancer cell engagement.","authors":"Bingqing Yao, Xiaoqin Liu, Kanghui Ruan, Xiunan Fang, Chuhan Jiang, Weixiang Bian, Yajing Guo, Xiaosheng Zhu, Zebin Shang, Tianen Hu, Pei Cai, Meizhen Lin, Chunhui Wang, Xiaoyu Kuang, Fanglin Luo, Zhanhao Zhang, Shang Li, Jia Yao, Xu Li, Shang Cai","doi":"10.1016/j.cell.2025.12.044","DOIUrl":"10.1016/j.cell.2025.12.044","url":null,"abstract":"<p><p>Intratumor bacteria represent an understudied yet influential component of the cancer ecosystem, critically impinging cancer progression. In PyMT breast tumors, we find intracellular bacteria, when residing in cancer cell cytosol, promote metastasis by triggering cytosolic double-stranded DNA (dsDNA) accumulation, which in turn activates the tumor intrinsic cGAS-STING-interleukin (IL)-17B pathway and redirects neutrophils toward a protumor phenotype that inhibits cytotoxic T cells. By contrast, the same strain of bacteria, when present extracellularly, induces antitumor neutrophil activity without engaging the STING pathway. Physiologically, eliminating intracellular bacteria, or therapeutically introducing extracellular bacteria components, abrogates immunosuppression and prevents postsurgical metastatic recurrence in preclinical models. Clinically, the bacteria invasion signature we have developed is associated with poor prognosis in patients with breast cancer. In summary, the spatial interplay between bacteria and host cells in metastatic niches can shape divergent tumor immunity, highlighting bacterial-host engagement as a crucial determinant of cancer immune regulation and a potential therapeutic target.</p>","PeriodicalId":9656,"journal":{"name":"Cell","volume":" ","pages":"1748-1767.e26"},"PeriodicalIF":42.5,"publicationDate":"2026-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146123937","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}
Mitochondrial transplantation holds significant potential for the treatment of mitochondrial diseases. However, how to efficiently deliver exogenous mitochondria to somatic cells or tissues remains unresolved. We present a mitochondrial transplantation approach to deliver mitochondria into the cells and tissues of mice and monkeys with high efficiency, based on encapsulating mitochondria with vesicles derived from the plasma membrane of erythrocytes. Treatment with encapsulated mitochondria complemented the loss, deletion, or mutation of mitochondrial DNA, thereby rescuing the associated bioenergetic and biochemical defects in patient-derived cells with mitochondrial disorders. Furthermore, mitochondrial capsules rescued the mitochondrial DNA depletion syndrome and Leigh syndrome in Dguok-/- and Ndufs4-/- mouse models, respectively. Moreover, in a mouse model of Parkinson's disease, mitochondrial capsules rescued neuron loss, improved motor skills, and restored mitochondrial function in the affected brain regions. Our study demonstrates the potential of this mitochondrial capsule as a treatment for mitochondrial disorders and proposes an "organelle therapy" strategy in regenerative medicine.
{"title":"Transplantation of encapsulated mitochondria alleviates dysfunction in mitochondrial and Parkinson's disease models.","authors":"Shiwei Du, Qi Long, Yanshuang Zhou, Jiangqin Fu, Hao Wu, Liang Yang, Yaohang Xie, Yingzhe Ding, Maolei Zhang, Jingyi Guo, Mengfei Wang, Jiajun Lin, Mingli Hu, Jian Zhang, Deyang Yao, Wei Li, Feixiang Bao, Ge Xiang, Yi Wu, Yile Huang, Haozhao Liang, Rui Wang, Heying Li, Baodan Chen, Chong Li, Junwei Wang, Jiwei Zhang, Dajiang Qin, Jianwei Sun, Yun Zhu, Fei Sun, Wuming Wang, Gang Lu, Wai-Yee Chan, Hui Zhao, Chenli Liu, Xingguo Liu","doi":"10.1016/j.cell.2026.02.023","DOIUrl":"https://doi.org/10.1016/j.cell.2026.02.023","url":null,"abstract":"<p><p>Mitochondrial transplantation holds significant potential for the treatment of mitochondrial diseases. However, how to efficiently deliver exogenous mitochondria to somatic cells or tissues remains unresolved. We present a mitochondrial transplantation approach to deliver mitochondria into the cells and tissues of mice and monkeys with high efficiency, based on encapsulating mitochondria with vesicles derived from the plasma membrane of erythrocytes. Treatment with encapsulated mitochondria complemented the loss, deletion, or mutation of mitochondrial DNA, thereby rescuing the associated bioenergetic and biochemical defects in patient-derived cells with mitochondrial disorders. Furthermore, mitochondrial capsules rescued the mitochondrial DNA depletion syndrome and Leigh syndrome in Dguok<sup>-/-</sup> and Ndufs4<sup>-/-</sup> mouse models, respectively. Moreover, in a mouse model of Parkinson's disease, mitochondrial capsules rescued neuron loss, improved motor skills, and restored mitochondrial function in the affected brain regions. Our study demonstrates the potential of this mitochondrial capsule as a treatment for mitochondrial disorders and proposes an \"organelle therapy\" strategy in regenerative medicine.</p>","PeriodicalId":9656,"journal":{"name":"Cell","volume":" ","pages":""},"PeriodicalIF":42.5,"publicationDate":"2026-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147484809","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}
Pub Date : 2026-03-18DOI: 10.1016/j.cell.2026.03.015
Jacob Parres-Gold, Matthew Levine, Benjamin Emert, Andrew Stuart, Michael B Elowitz
{"title":"Contextual computation by competitive protein dimerization networks.","authors":"Jacob Parres-Gold, Matthew Levine, Benjamin Emert, Andrew Stuart, Michael B Elowitz","doi":"10.1016/j.cell.2026.03.015","DOIUrl":"https://doi.org/10.1016/j.cell.2026.03.015","url":null,"abstract":"","PeriodicalId":9656,"journal":{"name":"Cell","volume":" ","pages":""},"PeriodicalIF":42.5,"publicationDate":"2026-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147484870","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}
Pub Date : 2026-03-18DOI: 10.1016/j.cell.2026.02.021
Ainan Geng, Rohit Roy, Megan Ken, Linshu Li, Alicia Chime, Hala Abou Assi, Bei Liu, Charles Bou-Nader, Yeongjoon Lee, Jinwei Zhang, Daniel Herschlag, Stephen P Goff, Hashim M Al-Hashimi
Despite advances in structure prediction from sequence, predicting cellular activity requires conformational ensembles that capture propensities to form functionally active states. Such ensembles remain difficult to measure and even harder to predict. Here, we systematically altered the HIV-1 transactivation response element (TAR) RNA sequence to change its propensity to adopt a functional versus inactive secondary structure and quantified these propensities using proton chemical exchange saturation transfer (1H CEST) NMR without isotopic labeling. Minor sequence changes shifted the active-state propensity by ∼500-fold, quantitatively predicting 125- to 300-fold changes in binding to the RNA-binding region of Tat and cellular transactivation. These propensities could be inferred from secondary-structure prediction algorithms and incorporated into a thermodynamic framework to quantitatively predict how sequence changes alter protein-binding affinity and cellular activity in this well-characterized system. Our findings establish a quantitative thermodynamic framework that links the RNA sequence to cellular activity through conformational ensembles, setting the stage for more generalized predictions as computational ensemble modeling continues to advance.
{"title":"Thermodynamic prediction of RNA cellular activity from sequence via conformational ensembles.","authors":"Ainan Geng, Rohit Roy, Megan Ken, Linshu Li, Alicia Chime, Hala Abou Assi, Bei Liu, Charles Bou-Nader, Yeongjoon Lee, Jinwei Zhang, Daniel Herschlag, Stephen P Goff, Hashim M Al-Hashimi","doi":"10.1016/j.cell.2026.02.021","DOIUrl":"https://doi.org/10.1016/j.cell.2026.02.021","url":null,"abstract":"<p><p>Despite advances in structure prediction from sequence, predicting cellular activity requires conformational ensembles that capture propensities to form functionally active states. Such ensembles remain difficult to measure and even harder to predict. Here, we systematically altered the HIV-1 transactivation response element (TAR) RNA sequence to change its propensity to adopt a functional versus inactive secondary structure and quantified these propensities using proton chemical exchange saturation transfer (<sup>1</sup>H CEST) NMR without isotopic labeling. Minor sequence changes shifted the active-state propensity by ∼500-fold, quantitatively predicting 125- to 300-fold changes in binding to the RNA-binding region of Tat and cellular transactivation. These propensities could be inferred from secondary-structure prediction algorithms and incorporated into a thermodynamic framework to quantitatively predict how sequence changes alter protein-binding affinity and cellular activity in this well-characterized system. Our findings establish a quantitative thermodynamic framework that links the RNA sequence to cellular activity through conformational ensembles, setting the stage for more generalized predictions as computational ensemble modeling continues to advance.</p>","PeriodicalId":9656,"journal":{"name":"Cell","volume":" ","pages":""},"PeriodicalIF":42.5,"publicationDate":"2026-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147484842","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}
Mitochondria provide a variety of metabolites, in addition to ATP, to meet cell-specific needs. One such metabolite is phosphoenolpyruvate (PEP), which contains a higher-energy phosphate bond than ATP and has diverse biological functions. However, how mitochondria-generated PEP is delivered to the cytosol and fulfills cell-specific requirements remains elusive. Here, we show that SLC25A35 regulates mitochondrial PEP efflux and glyceroneogenesis in lipogenic cells that utilize the pyruvate-to-PEP bypass. Reconstitution and structural studies demonstrated PEP transport by SLC25A35 in a pH gradient-dependent manner. Loss of SLC25A35 in adipocytes impaired the conversion of mitochondrial PEP into glycerol-3-phosphate, thereby reducing glycerolipid synthesis. Significantly, hepatic inhibition of SLC25A35 in obese mice alleviated steatosis and improved systemic glucose homeostasis. Together, these results suggest that mitochondria facilitate glycerolipid synthesis by providing PEP via SLC25A35, offering lipogenic mitochondria as a target to limit glycerolipid synthesis, a pivotal step in the pathogenesis of hepatic steatosis and type 2 diabetes.
{"title":"Mitochondrial control of glycerolipid synthesis by a PEP shuttle.","authors":"Tadashi Yamamuro, Daisuke Katoh, Guilherme Martins Silva, Hiroshi Nishida, Satoshi Oikawa, Yusuke Higuchi, Dandan Wang, Masanori Fujimoto, Naofumi Yoshida, Mark Li, Jihoon Shin, Zezhou Zhao, Jin-Seon Yook, Lijun Sun, Shingo Kajimura","doi":"10.1016/j.cell.2026.02.017","DOIUrl":"10.1016/j.cell.2026.02.017","url":null,"abstract":"<p><p>Mitochondria provide a variety of metabolites, in addition to ATP, to meet cell-specific needs. One such metabolite is phosphoenolpyruvate (PEP), which contains a higher-energy phosphate bond than ATP and has diverse biological functions. However, how mitochondria-generated PEP is delivered to the cytosol and fulfills cell-specific requirements remains elusive. Here, we show that SLC25A35 regulates mitochondrial PEP efflux and glyceroneogenesis in lipogenic cells that utilize the pyruvate-to-PEP bypass. Reconstitution and structural studies demonstrated PEP transport by SLC25A35 in a pH gradient-dependent manner. Loss of SLC25A35 in adipocytes impaired the conversion of mitochondrial PEP into glycerol-3-phosphate, thereby reducing glycerolipid synthesis. Significantly, hepatic inhibition of SLC25A35 in obese mice alleviated steatosis and improved systemic glucose homeostasis. Together, these results suggest that mitochondria facilitate glycerolipid synthesis by providing PEP via SLC25A35, offering lipogenic mitochondria as a target to limit glycerolipid synthesis, a pivotal step in the pathogenesis of hepatic steatosis and type 2 diabetes.</p>","PeriodicalId":9656,"journal":{"name":"Cell","volume":" ","pages":""},"PeriodicalIF":42.5,"publicationDate":"2026-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13004170/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147479650","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}
Pub Date : 2026-03-17DOI: 10.1016/j.cell.2026.02.016
Jing Xing, Mingdian Tan, Dmitry Leshchiner, Mengying Sun, Mohamed Abdelgied, Li Huang, Shreya Paithankar, Katie Uhl, Rama Shankar, Erika Lisabeth, Bilal Aleiwi, Tara Jager, Cameron Lawson, Ruoqiao Chen, Matthew Giletto, Reda Girgis, Richard R Neubig, Samuel So, Edmund Ellsworth, Xiaopeng Li, Mei-Sze Chua, Jiayu Zhou, Bin Chen
Identifying drugs that reverse disease-associated transcriptomic features has been widely explored for drug repurposing, but its potential for de novo drug discovery remains underexplored. Here, we present gene expression profile predictor on chemical structures (GPS), a deep-learning-based drug discovery platform, guided by transcriptomic features, that screens large compound libraries and optimizes lead molecules. We first develop a model that captures transcriptomic perturbation signatures solely from chemical structures and deploy it to library compounds. We refine scoring methods and employ a tree-search method for optimization. By incorporating structure-gene-activity relationships, we uncover drug mechanisms from transcriptomic data. We evaluate GPS across multiple diseases and conduct extensive validation in two cases. In hepatocellular carcinoma, we discover two unique compound series with favorable cellular selectivity and in vivo efficacy. In idiopathic pulmonary fibrosis, we identify one repurposing candidate and one novel anti-fibrotic compound by reversing gene expression of multiple distinct cell types derived from single-cell transcriptomics.
{"title":"Deep-learning-based de novo discovery and design of therapeutics that reverse disease-associated transcriptional phenotypes.","authors":"Jing Xing, Mingdian Tan, Dmitry Leshchiner, Mengying Sun, Mohamed Abdelgied, Li Huang, Shreya Paithankar, Katie Uhl, Rama Shankar, Erika Lisabeth, Bilal Aleiwi, Tara Jager, Cameron Lawson, Ruoqiao Chen, Matthew Giletto, Reda Girgis, Richard R Neubig, Samuel So, Edmund Ellsworth, Xiaopeng Li, Mei-Sze Chua, Jiayu Zhou, Bin Chen","doi":"10.1016/j.cell.2026.02.016","DOIUrl":"https://doi.org/10.1016/j.cell.2026.02.016","url":null,"abstract":"<p><p>Identifying drugs that reverse disease-associated transcriptomic features has been widely explored for drug repurposing, but its potential for de novo drug discovery remains underexplored. Here, we present gene expression profile predictor on chemical structures (GPS), a deep-learning-based drug discovery platform, guided by transcriptomic features, that screens large compound libraries and optimizes lead molecules. We first develop a model that captures transcriptomic perturbation signatures solely from chemical structures and deploy it to library compounds. We refine scoring methods and employ a tree-search method for optimization. By incorporating structure-gene-activity relationships, we uncover drug mechanisms from transcriptomic data. We evaluate GPS across multiple diseases and conduct extensive validation in two cases. In hepatocellular carcinoma, we discover two unique compound series with favorable cellular selectivity and in vivo efficacy. In idiopathic pulmonary fibrosis, we identify one repurposing candidate and one novel anti-fibrotic compound by reversing gene expression of multiple distinct cell types derived from single-cell transcriptomics.</p>","PeriodicalId":9656,"journal":{"name":"Cell","volume":" ","pages":""},"PeriodicalIF":42.5,"publicationDate":"2026-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147479657","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}
Pub Date : 2026-03-17DOI: 10.1016/j.cell.2026.02.022
Michael V. Westbury, Stuart C. Brown, Andrea A. Cabrera, Hernán E. Morales, Bárbara Parreira, Jilong Ma, Moisès Coll Macià, Alba Rey-Iglesia, Arthur Dyke, Camilla Hjorth Scharff-Olsen, Michael B. Scott, Øystein Wiig, Lutz Bachmann, Kit M. Kovacs, Christian Lydersen, Steven H. Ferguson, Paul Szpak, Damien A. Fordham, Eline D. Lorenzen
Bowhead whales were heavily exploited during commercial whaling between the 16th and 20th centuries. Current and near-future climate warming poses a new threat. Assessing bowhead vulnerability to climatic change remains challenging due to insufficient knowledge regarding responses to past climates and pre-whaling population dynamics. We integrate paleogenomics and stable isotopes (δ13C and δ15N) from 206 bowhead fossils from the Atlantic Arctic with paleoclimate and ecological modeling based on 823 radiocarbon-dated fossils, including 140 from this study. We find long-term resilience of bowheads to Holocene environmental perturbations, with no detectable changes in genetic diversity or population structure. Simulated commercial-whaling-driven genetic and fitness changes indicate that population subdivision and loss of genetic diversity are unlikely to be fully realized, despite nearly a century since whaling ceased. Furthermore, even in simulated complete population recovery scenarios, overall fitness did not return to pre-whaling levels, potentially compromising the future resilience of bowhead whales.
{"title":"Four centuries of commercial whaling eroded 11,000 years of population stability in bowhead whales","authors":"Michael V. Westbury, Stuart C. Brown, Andrea A. Cabrera, Hernán E. Morales, Bárbara Parreira, Jilong Ma, Moisès Coll Macià, Alba Rey-Iglesia, Arthur Dyke, Camilla Hjorth Scharff-Olsen, Michael B. Scott, Øystein Wiig, Lutz Bachmann, Kit M. Kovacs, Christian Lydersen, Steven H. Ferguson, Paul Szpak, Damien A. Fordham, Eline D. Lorenzen","doi":"10.1016/j.cell.2026.02.022","DOIUrl":"https://doi.org/10.1016/j.cell.2026.02.022","url":null,"abstract":"Bowhead whales were heavily exploited during commercial whaling between the 16th and 20th centuries. Current and near-future climate warming poses a new threat. Assessing bowhead vulnerability to climatic change remains challenging due to insufficient knowledge regarding responses to past climates and pre-whaling population dynamics. We integrate paleogenomics and stable isotopes (<em>δ</em><sup>13</sup>C and <em>δ</em><sup>15</sup>N) from 206 bowhead fossils from the Atlantic Arctic with paleoclimate and ecological modeling based on 823 radiocarbon-dated fossils, including 140 from this study. We find long-term resilience of bowheads to Holocene environmental perturbations, with no detectable changes in genetic diversity or population structure. Simulated commercial-whaling-driven genetic and fitness changes indicate that population subdivision and loss of genetic diversity are unlikely to be fully realized, despite nearly a century since whaling ceased. Furthermore, even in simulated complete population recovery scenarios, overall fitness did not return to pre-whaling levels, potentially compromising the future resilience of bowhead whales.","PeriodicalId":9656,"journal":{"name":"Cell","volume":"7 1","pages":""},"PeriodicalIF":64.5,"publicationDate":"2026-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147465944","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}
Pub Date : 2026-03-11DOI: 10.1016/j.cell.2026.02.008
Annika Zink, Dao-Fu Dai, Annika Wittich, Marie-Thérèse Henke, Giulia Pedrotti, Sonja Heiduschka, Guillem Santamaria, Tancredi Massimo Pentimalli, Christian Brueser, Sofia Notopoulou, Abdul Rahim Umar, Aleksandra Zhaivoron, Laura Petersilie, Caleb Jerred, Jesper Bergmans, Louis Anton Neu, Fabian Schumacher, Jan Keller-Findeisen, Agnieszka Rybak-Wolf, Daniel Stach, Alessandro Prigione
Mitochondrial disease encompasses inherited disorders affecting mitochondrial function. A severe and untreatable form of mitochondrial disease is Leigh syndrome (LS), causing psychomotor regression and metabolic crises. To accelerate drug discovery for LS, we screen a library of 5,632 repurposable compounds in neural cells from LS-patient-derived induced pluripotent stem cells (iPSCs). We identify phosphodiesterase type 5 (PDE5) inhibitors as leads and prioritize sildenafil for its clinical safety. Sildenafil corrects mitochondrial membrane potential defects, restores neurodevelopmental pathways, and normalizes calcium responses in LS brain organoids. In small and large mammalian models of LS, sildenafil extends lifespan and ameliorates disease phenotypes. Off-label treatment on an individual basis with sildenafil in six LS patients improves their motor function and resistance to metabolic crises. Collectively, the findings highlight the potential of iPSC-driven drug discovery and position sildenafil as a promising drug candidate for mitochondrial disease.
{"title":"Pluripotent stem-cell-based screening uncovers sildenafil as a mitochondrial disease therapy","authors":"Annika Zink, Dao-Fu Dai, Annika Wittich, Marie-Thérèse Henke, Giulia Pedrotti, Sonja Heiduschka, Guillem Santamaria, Tancredi Massimo Pentimalli, Christian Brueser, Sofia Notopoulou, Abdul Rahim Umar, Aleksandra Zhaivoron, Laura Petersilie, Caleb Jerred, Jesper Bergmans, Louis Anton Neu, Fabian Schumacher, Jan Keller-Findeisen, Agnieszka Rybak-Wolf, Daniel Stach, Alessandro Prigione","doi":"10.1016/j.cell.2026.02.008","DOIUrl":"https://doi.org/10.1016/j.cell.2026.02.008","url":null,"abstract":"Mitochondrial disease encompasses inherited disorders affecting mitochondrial function. A severe and untreatable form of mitochondrial disease is Leigh syndrome (LS), causing psychomotor regression and metabolic crises. To accelerate drug discovery for LS, we screen a library of 5,632 repurposable compounds in neural cells from LS-patient-derived induced pluripotent stem cells (iPSCs). We identify phosphodiesterase type 5 (PDE5) inhibitors as leads and prioritize sildenafil for its clinical safety. Sildenafil corrects mitochondrial membrane potential defects, restores neurodevelopmental pathways, and normalizes calcium responses in LS brain organoids. In small and large mammalian models of LS, sildenafil extends lifespan and ameliorates disease phenotypes. Off-label treatment on an individual basis with sildenafil in six LS patients improves their motor function and resistance to metabolic crises. Collectively, the findings highlight the potential of iPSC-driven drug discovery and position sildenafil as a promising drug candidate for mitochondrial disease.","PeriodicalId":9656,"journal":{"name":"Cell","volume":"19 1","pages":""},"PeriodicalIF":64.5,"publicationDate":"2026-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147384149","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}
Pub Date : 2026-03-11DOI: 10.1016/j.cell.2026.02.015
Qiurui Zeng, Wenliang Wang, Wei Tian, Amit Klein, Anna Bartlett, Hanqing Liu, Joseph R. Nery, Rosa G. Castanon, Julia Osteen, Nicholas D. Johnson, Wubin Ding, Huaming Chen, Jordan Altshul, Mia Kenworthy, Cynthia Valadon, William Owens, Zhanghao Wu, Maria Luisa Amaral, Nathan R. Zemke, Yuru Song, Joseph R. Ecker
Aging is a major risk factor for neurodegenerative diseases, yet the underlying epigenetic mechanisms remain unclear. Here, we generated a comprehensive single-nucleus cell atlas of brain aging across multiple brain regions, comprising 132,551 single-cell methylomes and 72,666 joint chromatin conformation-methylome nuclei. Integration with companion transcriptomic and chromatin accessibility data yielded a cross-modality taxonomy of 36 major cell types. We observed that transposable element (TE) methylation alone distinguished age groups, showing cell-type-specific genome-wide demethylation. Chromatin conformation analysis demonstrated age-related increases in topologically associated domain (TAD) boundary strength with enhanced accessibility at CCCTC-binding factor (CTCF) binding sites. Spatial transcriptomics across 895,296 cells revealed regional heterogeneity during aging within identical cell types. Finally, we developed deep-learning models that reliably predict age-related gene expression changes using multi-modal epigenetic features, providing mechanistic insights into gene regulation. Age-related comparisons use a 2-month baseline reflecting the late-adolescent/early-young adult stage. This dataset advances our understanding of brain aging and offers potential translational applications.
{"title":"Cell-type-specific transposon demethylation and TAD remodeling in aging mouse brain","authors":"Qiurui Zeng, Wenliang Wang, Wei Tian, Amit Klein, Anna Bartlett, Hanqing Liu, Joseph R. Nery, Rosa G. Castanon, Julia Osteen, Nicholas D. Johnson, Wubin Ding, Huaming Chen, Jordan Altshul, Mia Kenworthy, Cynthia Valadon, William Owens, Zhanghao Wu, Maria Luisa Amaral, Nathan R. Zemke, Yuru Song, Joseph R. Ecker","doi":"10.1016/j.cell.2026.02.015","DOIUrl":"https://doi.org/10.1016/j.cell.2026.02.015","url":null,"abstract":"Aging is a major risk factor for neurodegenerative diseases, yet the underlying epigenetic mechanisms remain unclear. Here, we generated a comprehensive single-nucleus cell atlas of brain aging across multiple brain regions, comprising 132,551 single-cell methylomes and 72,666 joint chromatin conformation-methylome nuclei. Integration with companion transcriptomic and chromatin accessibility data yielded a cross-modality taxonomy of 36 major cell types. We observed that transposable element (TE) methylation alone distinguished age groups, showing cell-type-specific genome-wide demethylation. Chromatin conformation analysis demonstrated age-related increases in topologically associated domain (TAD) boundary strength with enhanced accessibility at CCCTC-binding factor (CTCF) binding sites. Spatial transcriptomics across 895,296 cells revealed regional heterogeneity during aging within identical cell types. Finally, we developed deep-learning models that reliably predict age-related gene expression changes using multi-modal epigenetic features, providing mechanistic insights into gene regulation. Age-related comparisons use a 2-month baseline reflecting the late-adolescent/early-young adult stage. This dataset advances our understanding of brain aging and offers potential translational applications.","PeriodicalId":9656,"journal":{"name":"Cell","volume":"52 1","pages":""},"PeriodicalIF":64.5,"publicationDate":"2026-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147393445","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}