Cell systemsPub Date : 2026-08-19Epub Date: 2026-06-26DOI: 10.1016/j.cels.2026.101651
Wei He, Jen-Wei Huang, Yalong Wang, Samuel B Hayward, Giuseppe Leuzzi, Rongjie Fu, Shuyue Wang, Alina Vaitsiankova, Yiwen Chen, Mark T Bedford, Raphael Guerois, Alberto Ciccia, Han Xu
{"title":"Deciphering protein mutation-phenotype linkages from CRISPR-based tiling mutagenesis screens.","authors":"Wei He, Jen-Wei Huang, Yalong Wang, Samuel B Hayward, Giuseppe Leuzzi, Rongjie Fu, Shuyue Wang, Alina Vaitsiankova, Yiwen Chen, Mark T Bedford, Raphael Guerois, Alberto Ciccia, Han Xu","doi":"10.1016/j.cels.2026.101651","DOIUrl":"10.1016/j.cels.2026.101651","url":null,"abstract":"<p><p>CRISPR-based high-throughput mutagenesis screens enable systematic mapping of mutations to phenotypes, yet deciphering mutation-phenotype links remains challenging. Here, we present ProTiler-Mut, a versatile computational framework that leverages tiling mutagenesis screens, which introduce variants across entire protein sequences, to analyze mutation effects at the levels of residues, substructures, and protein-protein interactions (PPIs). Applying ProTiler-Mut to multi-condition base-editing (BE) screens targeting DNA damage response proteins and T cell regulators, we define a separation-of-function (SoF) category beyond the conventional loss-of-function (LoF) and gain-of-function (GoF) classes, where SoF mutations show the strongest enrichment for ClinVar-annotated pathogenic variants. ProTiler-Mut also identifies candidate substructures that enable functional inference of unscreened pathogenic mutations and prioritizes candidate phenotype-associated PPIs potentially disrupted by functional variants. Using ProTiler-Mut, in cells with elevated programmed cell death 1 (PD-1) expression, we identify pathogenic GoF mutations that constitute a substructure that may disrupt mitogen-activated protein kinase (MAPK)1-RSK1 interactions and lead to MAPK activation. Finally, we show that ProTiler-Mut is applicable across different mutagenesis screening platforms. A record of this paper's transparent peer review process is included in the supplemental information.</p>","PeriodicalId":93929,"journal":{"name":"Cell systems","volume":" ","pages":"101651"},"PeriodicalIF":7.7,"publicationDate":"2026-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13463601/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148341426","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Cell systemsPub Date : 2026-08-19Epub Date: 2026-08-13DOI: 10.1016/j.cels.2026.101704
Malte Mederacke, Kevin A Yamauchi, Nikolaos Doumpas, Laura Schaumann, Jonathan Sperl, Thomas Weikert, D Merrill Dane, Connie C W Hsia, Maurice Pradella, Jens Bremerich, Roman Vetter, Dagmar Iber
{"title":"The emergence of the fractal bronchial tree.","authors":"Malte Mederacke, Kevin A Yamauchi, Nikolaos Doumpas, Laura Schaumann, Jonathan Sperl, Thomas Weikert, D Merrill Dane, Connie C W Hsia, Maurice Pradella, Jens Bremerich, Roman Vetter, Dagmar Iber","doi":"10.1016/j.cels.2026.101704","DOIUrl":"10.1016/j.cels.2026.101704","url":null,"abstract":"<p><p>The fractal design of the bronchial tree, as described by the Hess-Murray law, facilitates energy-efficient lung ventilation, yet its developmental origins remain unclear. Here, we quantify the rearrangement of the embryonic bronchial tree into its fractal architecture using SkelePlex, a new neural network-based image processing pipeline, and elucidate the biophysical principles governing its formation. We find that the branch shapes are such that pressure drop, shear, axial, and hoop stresses are equal across all branches. The seemingly random diameters of sister branches reflect the different number of tips they connect to in the asymmetric lung tree. By analyzing lungs after pneumonectomy and those affected by chronic obstructive pulmonary disease (COPD), we show that the same principles persist in adulthood and disease, potentially providing quantitative biomarkers for disease progression and therapeutic guidance.</p>","PeriodicalId":93929,"journal":{"name":"Cell systems","volume":" ","pages":"101704"},"PeriodicalIF":7.7,"publicationDate":"2026-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148726511","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Cell systemsPub Date : 2026-08-19DOI: 10.1016/j.cels.2026.101705
Maijia Liao
{"title":"Mechanical feedback drives fractal airway organization.","authors":"Maijia Liao","doi":"10.1016/j.cels.2026.101705","DOIUrl":"https://doi.org/10.1016/j.cels.2026.101705","url":null,"abstract":"<p><p>The bronchial tree exhibits a striking fractal architecture that enables efficient ventilation, but how this geometry emerges during development has remained unclear. Mederacke et al. show that local mechanical and hydrodynamic feedback progressively drives the self-organization of fractal airway geometry across development, regeneration, and disease.</p>","PeriodicalId":93929,"journal":{"name":"Cell systems","volume":"17 8","pages":"101705"},"PeriodicalIF":7.7,"publicationDate":"2026-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148802384","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Cell systemsPub Date : 2026-08-19Epub Date: 2026-07-01DOI: 10.1016/j.cels.2026.101656
Takeshi Matsui, Po-Hsiang Hung, Han Mei, Xianan Liu, Fangfei Li, John Collins, Weiyi Li, Darach Miller, Neil Wilson, Esteban Toro, Geoffrey J Taghon, Gavin Sherlock, Sasha Levy
{"title":"High-throughput DNA engineering by mating bacteria.","authors":"Takeshi Matsui, Po-Hsiang Hung, Han Mei, Xianan Liu, Fangfei Li, John Collins, Weiyi Li, Darach Miller, Neil Wilson, Esteban Toro, Geoffrey J Taghon, Gavin Sherlock, Sasha Levy","doi":"10.1016/j.cels.2026.101656","DOIUrl":"10.1016/j.cels.2026.101656","url":null,"abstract":"<p><p>We introduce SCRIVENER (sequential conjugation and recombination for in vivo elongation of nucleotides with low errors), an in vivo DNA assembly platform that streamlines and scales DNA engineering. SCRIVENER combines bacterial conjugation, in vivo DNA cutting, and homologous recombination to stitch DNA blocks together by mating E. coli in large arrays or pools. This approach is simpler, cheaper, and higher throughput than methods requiring DNA to be moved in and out of cells. We performed over 5,000 assemblies with 2 to 19 blocks (240 bp-12 kb) and assembled constructs up to 81 kb with high fidelity. Most errors are deletions between long repeats, but SCRIVENER minimizes their impact by enabling high-replication assembly and sequence verification at a nominal additional cost per replicate. The platform enables combinatorial library construction and DNA block reuse without PCR and is therefore a powerful tool to accelerate DNA design-build-test-learn cycles. A record of this paper's transparent peer review process is included in the supplemental information.</p>","PeriodicalId":93929,"journal":{"name":"Cell systems","volume":" ","pages":"101656"},"PeriodicalIF":7.7,"publicationDate":"2026-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13656942/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148371381","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Cell systemsPub Date : 2026-08-19DOI: 10.1016/j.cels.2026.101706
Chenxin Flora Jiang, Changhu Wang, Jingyi Jessica Li
{"title":"Beyond differential expression: Differential variability as an underappreciated axis in transcriptomics.","authors":"Chenxin Flora Jiang, Changhu Wang, Jingyi Jessica Li","doi":"10.1016/j.cels.2026.101706","DOIUrl":"10.1016/j.cels.2026.101706","url":null,"abstract":"<p><p>Differential expression has long been the default lens for comparing transcriptomes between conditions, but mean shifts alone can miss important biological signals. Using a recent debate on memory-associated transcriptome changes, this commentary highlights differential variability as an underappreciated axis for interpreting transcriptome variation.</p>","PeriodicalId":93929,"journal":{"name":"Cell systems","volume":"17 8","pages":"101706"},"PeriodicalIF":7.7,"publicationDate":"2026-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13533298/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148802397","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Cell systemsPub Date : 2026-08-19Epub Date: 2026-06-04DOI: 10.1016/j.cels.2026.101619
Nicholas T Hutchins, Alexandra Cao, Pulin Li
{"title":"Discovering what is possible: How synthetic biology illuminates development.","authors":"Nicholas T Hutchins, Alexandra Cao, Pulin Li","doi":"10.1016/j.cels.2026.101619","DOIUrl":"10.1016/j.cels.2026.101619","url":null,"abstract":"<p><p>Developmental biology seeks to understand how multicellular organization emerges from cell-cell interactions. Advances in stem cell and synthetic biology now enable researchers to rebuild developmental processes outside the embryo, with varying degrees of resemblance to natural systems. While some reconstituted systems reveal how development occurs, others uncover what is possible. This perspective examines how such bottom-up approaches have elucidated general principles and causal mechanisms of multicellular organization. We argue that synthetic systems, though simplified, provide powerful platforms to test the limits of developmental potential, disentangle causal relationships, and inform predictive models. With rapid advances in genomic engineering, imaging, and computational modeling, leveraging these engineered systems to discover what is possible holds transformative promise for understanding what is happening in nature.</p>","PeriodicalId":93929,"journal":{"name":"Cell systems","volume":" ","pages":"101619"},"PeriodicalIF":7.7,"publicationDate":"2026-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148165877","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Cell systemsPub Date : 2026-08-19Epub Date: 2026-06-23DOI: 10.1016/j.cels.2026.101646
Michele Partipilo, Giusi Favoino, Òscar Puiggené, Catarina Rocha, Carina Meiners, Nicolás Gurdo, Stefano Donati, Daniel C Volke, Pablo I Nikel
{"title":"Integrated control of redox and energy metabolism by the membrane-bound and soluble transhydrogenases of Pseudomonas putida across metabolic regimes.","authors":"Michele Partipilo, Giusi Favoino, Òscar Puiggené, Catarina Rocha, Carina Meiners, Nicolás Gurdo, Stefano Donati, Daniel C Volke, Pablo I Nikel","doi":"10.1016/j.cels.2026.101646","DOIUrl":"10.1016/j.cels.2026.101646","url":null,"abstract":"<p><p>Redox homeostasis underpins microbial physiology and stress adaptation, yet the extent to which transhydrogenases contribute to these processes remains largely unexplored in most organisms. In this study, we reveal how Pseudomonas putida integrates two distinct transhydrogenases (membrane-bound PntAB and soluble SthA) into a flexible and reversible redox-balancing system supporting metabolic robustness across diverse conditions. Single deletions of either enzyme had minimal fitness impacts, whereas the double-mutant ΔpntAB ΔsthA exhibited growth defects, disrupted energy charge, and redox imbalance. Specifically, SthA proved essential for growth on acetate via a transcriptional regulator linked to glyoxylate metabolism. Notably, the activity of both transhydrogenases enabled cellular tolerance to formate by channeling the reducing equivalents released from the one-carbon (C<sub>1</sub>)-compound oxidation toward NAD<sup>⁺</sup> regeneration. These findings delineate transhydrogenases as dynamic regulators of redox metabolism and energy conservation. Furthermore, this work positions P. putida as a prime host for redox-intensive applications and informs design principles for C<sub>1</sub>-based metabolic engineering. A record of this paper's transparent peer review process is included in the supplemental information.</p>","PeriodicalId":93929,"journal":{"name":"Cell systems","volume":" ","pages":"101646"},"PeriodicalIF":7.7,"publicationDate":"2026-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148310883","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Cell systemsPub Date : 2026-08-19Epub Date: 2026-07-01DOI: 10.1016/j.cels.2026.101654
Paul Ahavi, Thi-Ngoc-An Hoang, Philippe Meyer, Sylvie Berthier, Federica Fiorini, Florence Castelli, Olivier Epaulard, Audrey Le Gouellec, Jean-Loup Faulon
{"title":"Living bacterial reservoir computers for information processing and sensing.","authors":"Paul Ahavi, Thi-Ngoc-An Hoang, Philippe Meyer, Sylvie Berthier, Federica Fiorini, Florence Castelli, Olivier Epaulard, Audrey Le Gouellec, Jean-Loup Faulon","doi":"10.1016/j.cels.2026.101654","DOIUrl":"10.1016/j.cels.2026.101654","url":null,"abstract":"<p><p>We introduce a systems-level approach to sensing and computing in which Escherichia coli acts as a living reservoir computer, performing complex information processing through its native growth responses without requiring genetic modification or specialized instrumentation. We validate this framework by accurately classifying early-stage COVID-19 plasma samples according to subsequent disease severity using only bacterial growth data, highlighting its prognostic potential without the need for infrastructure-dependent methods. By controlling nutrient media compositions, we also demonstrate that E. coli growth encodes nonlinear transformations that outperform linear regression, support vector machines, and multilayer perceptrons across diverse regression and classification tasks. More broadly, simulations across genome-scale metabolic models from multiple bacterial species support a link between phenotypic diversity and computational capacity. These findings position biological reservoir computing as a robust, scalable, and low-cost platform for intelligent biosensing, diagnostics, and hybrid bio-digital computation, while providing new mechanistic insights into the computational capabilities of living systems.</p>","PeriodicalId":93929,"journal":{"name":"Cell systems","volume":" ","pages":"101654"},"PeriodicalIF":7.7,"publicationDate":"2026-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148371449","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Cell systemsPub Date : 2026-08-19Epub Date: 2026-06-29DOI: 10.1016/j.cels.2026.101650
Yucan Hu, Qingmei Li, Yingying Li, Yu Zeng, Linggang Zheng, Juntao Shen, Xiang Gao, Guo-Ping Zhao, Wei Zhao, Lei Dai
{"title":"Targeted genomic editing of human gut Bacteroides species based on CRISPR-associated transposases.","authors":"Yucan Hu, Qingmei Li, Yingying Li, Yu Zeng, Linggang Zheng, Juntao Shen, Xiang Gao, Guo-Ping Zhao, Wei Zhao, Lei Dai","doi":"10.1016/j.cels.2026.101650","DOIUrl":"10.1016/j.cels.2026.101650","url":null,"abstract":"<p><p>Gut Bacteroides are abundant and critical to human health, yet most are genetically cumbersome, non-model microbes. A widely applicable editing tool for Bacteroides is essential for gut microbiome manipulation. Here, we develop STIB (ShCAST-based transient insertion system for Bacteroides), an efficient genome-editing tool derived from CRISPR-associated transposases that enables rapid and site-specific insertions independent of homologous recombination. By fusing a nicking homing endonuclease to the transposase and an ATPase to Cas12k, we systematically optimize STIB to minimize plasmid cointegration and achieve >97% on-target insertion. STIB exhibits broad applicability across different genomic loci in diverse Bacteroides species, including non-model species. Finally, we apply STIB to achieve species- and site-specific editing of distinct Bacteroides species within a complex synthetic gut microbiota. Overall, STIB expands the toolbox for the functional investigation and engineering of the human microbiome. A record of this paper's transparent peer review process is included in the supplemental information.</p>","PeriodicalId":93929,"journal":{"name":"Cell systems","volume":" ","pages":"101650"},"PeriodicalIF":7.7,"publicationDate":"2026-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148355087","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Cell systemsPub Date : 2026-08-19Epub Date: 2026-06-29DOI: 10.1016/j.cels.2026.101653
Ove Øyås, Axel Theorell, Jörg Stelling
{"title":"Scalable enumeration and sampling of minimal metabolic pathways for organisms and communities.","authors":"Ove Øyås, Axel Theorell, Jörg Stelling","doi":"10.1016/j.cels.2026.101653","DOIUrl":"10.1016/j.cels.2026.101653","url":null,"abstract":"<p><p>Many interactions in microbial consortia or tissues of multicellular organisms rely on networks of metabolite exchanges. To predict community function and composition beyond statistical correlations, one can use genome-scale metabolic models. However, comprehensive model analysis via metabolic pathways is a major challenge because pathway counts grow combinatorially with model size. Here, we define minimal pathways that yield compact representations of metabolic network capabilities. They generalize existing pathway concepts by allowing inhomogeneous constraints and targeted analysis of subnetworks, and we show how to enumerate and sample them efficiently via iterative minimization and pathway graphs. This enables applications such as assessing quantitative gene essentiality in the central metabolism of Escherichia coli, predicting metabolite exchanges associated with homeostasis and health in a host-microbe model of the human gut, and designing butyrate-producing microbial communities. Minimal pathways enable scalable analysis of metabolic subnetworks such as metabolite exchanges in uni- and multicellular systems. A record of this paper's transparent peer review process is included in the supplemental information.</p>","PeriodicalId":93929,"journal":{"name":"Cell systems","volume":" ","pages":"101653"},"PeriodicalIF":7.7,"publicationDate":"2026-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148355118","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}