Cell systemsPub Date : 2024-06-19Epub Date: 2024-05-25DOI: 10.1016/j.cels.2024.05.003
Thomas R Mumford, Diarmid Rae, Emily Brackhahn, Abbas Idris, David Gonzalez-Martinez, Ayush Aditya Pal, Michael C Chung, Juan Guan, Elizabeth Rhoades, Lukasz J Bugaj
{"title":"Simple visualization of submicroscopic protein clusters with a phase-separation-based fluorescent reporter.","authors":"Thomas R Mumford, Diarmid Rae, Emily Brackhahn, Abbas Idris, David Gonzalez-Martinez, Ayush Aditya Pal, Michael C Chung, Juan Guan, Elizabeth Rhoades, Lukasz J Bugaj","doi":"10.1016/j.cels.2024.05.003","DOIUrl":"10.1016/j.cels.2024.05.003","url":null,"abstract":"","PeriodicalId":93929,"journal":{"name":"Cell systems","volume":" ","pages":"593"},"PeriodicalIF":0.0,"publicationDate":"2024-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141156043","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}
{"title":"Tissue module discovery in single-cell-resolution spatial transcriptomics data via cell-cell interaction-aware cell embedding.","authors":"Yuzhe Li, Jinsong Zhang, Xin Gao, Qiangfeng Cliff Zhang","doi":"10.1016/j.cels.2024.05.001","DOIUrl":"10.1016/j.cels.2024.05.001","url":null,"abstract":"<p><p>Computational methods are desired for single-cell-resolution spatial transcriptomics (ST) data analysis to uncover spatial organization principles for how individual cells exert tissue-specific functions. Here, we present ST data analysis via interaction-aware cell embedding (SPACE), a deep-learning method for cell-type identification and tissue module discovery from single-cell-resolution ST data by learning a cell representation that captures its gene expression profile and interactions with its spatial neighbors. SPACE identified spatially informed cell subtypes defined by their special spatial distribution patterns and distinct proximal-interacting cell types. SPACE also automatically discovered \"cell communities\"-tissue modules with discernible boundaries and a uniform spatial distribution of constituent cell types. For each cell community, SPACE outputs a characteristic proximal cell-cell interaction network associated with physiological processes, which can be used to refine ligand-receptor-based intercellular signaling analyses. We envision that SPACE can be used in large-scale ST projects to understand how proximal cell-cell interactions contribute to emergent biological functions within cell communities. 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":"578-592.e7"},"PeriodicalIF":0.0,"publicationDate":"2024-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141186041","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 : 2024-06-19Epub Date: 2024-06-05DOI: 10.1016/j.cels.2024.05.002
Apeksha Singh, Supriya Sen, Michael Iter, Adewunmi Adelaja, Stefanie Luecke, Xiaolu Guo, Alexander Hoffmann
{"title":"Stimulus-response signaling dynamics characterize macrophage polarization states.","authors":"Apeksha Singh, Supriya Sen, Michael Iter, Adewunmi Adelaja, Stefanie Luecke, Xiaolu Guo, Alexander Hoffmann","doi":"10.1016/j.cels.2024.05.002","DOIUrl":"10.1016/j.cels.2024.05.002","url":null,"abstract":"<p><p>The functional state of cells is dependent on their microenvironmental context. Prior studies described how polarizing cytokines alter macrophage transcriptomes and epigenomes. Here, we characterized the functional responses of 6 differentially polarized macrophage populations by measuring the dynamics of transcription factor nuclear factor κB (NF-κB) in response to 8 stimuli. The resulting dataset of single-cell NF-κB trajectories was analyzed by three approaches: (1) machine learning on time-series data revealed losses of stimulus distinguishability with polarization, reflecting canalized effector functions. (2) Informative trajectory features driving stimulus distinguishability (\"signaling codons\") were identified and used for mapping a cell state landscape that could then locate macrophages conditioned by an unrelated condition. (3) Kinetic parameters, inferred using a mechanistic NF-κB network model, provided an alternative mapping of cell states and correctly predicted biochemical findings. Together, this work demonstrates that a single analyte's dynamic trajectories may distinguish the functional states of single cells and molecular network states underlying them. 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":"563-577.e6"},"PeriodicalIF":0.0,"publicationDate":"2024-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11226196/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141285663","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 : 2024-06-19Epub Date: 2024-06-10DOI: 10.1016/j.cels.2024.05.005
David Bradley, Chantal Garand, Hugo Belda, Isabelle Gagnon-Arsenault, Moritz Treeck, Sabine Elowe, Christian R Landry
{"title":"The substrate quality of CK2 target sites has a determinant role on their function and evolution.","authors":"David Bradley, Chantal Garand, Hugo Belda, Isabelle Gagnon-Arsenault, Moritz Treeck, Sabine Elowe, Christian R Landry","doi":"10.1016/j.cels.2024.05.005","DOIUrl":"10.1016/j.cels.2024.05.005","url":null,"abstract":"<p><p>Most biological processes are regulated by signaling modules that bind to short linear motifs. For protein kinases, substrates may have full or only partial matches to the kinase recognition motif, a property known as \"substrate quality.\" However, it is not clear whether differences in substrate quality represent neutral variation or if they have functional consequences. We examine this question for the kinase CK2, which has many fundamental functions. We show that optimal CK2 sites are phosphorylated at maximal stoichiometries and found in many conditions, whereas minimal substrates are more weakly phosphorylated and have regulatory functions. Optimal CK2 sites tend to be more conserved, and substrate quality is often tuned by selection. For intermediate sites, increases or decreases in substrate quality may be deleterious, as we demonstrate for a CK2 substrate at the kinetochore. The results together suggest a strong role for substrate quality in phosphosite function and evolution. 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":"544-562.e8"},"PeriodicalIF":0.0,"publicationDate":"2024-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141307628","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}
{"title":"How has the AI boom impacted algorithmic biology?","authors":"Mona Singh, Cenk Sahinalp, Jianyang Zeng, Wei Vivian Li, Carl Kingsford, Qiangfeng Zhang, Teresa Przytycka, Joshua Welch, Jian Ma, Bonnie Berger","doi":"10.1016/j.cels.2024.05.008","DOIUrl":"https://doi.org/10.1016/j.cels.2024.05.008","url":null,"abstract":"<p><p>This Voices piece will highlight the impact of artificial intelligence on algorithm development among computational biologists. How has worldwide focus on AI changed the path of research in computational biology? What is the impact on the algorithmic biology research community?</p>","PeriodicalId":93929,"journal":{"name":"Cell systems","volume":"15 6","pages":"483-487"},"PeriodicalIF":0.0,"publicationDate":"2024-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141433661","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 : 2024-06-19Epub Date: 2024-05-20DOI: 10.1016/j.cels.2024.04.003
Maximilian A R Strobl, Alexandra L Martin, Jeffrey West, Jill Gallaher, Mark Robertson-Tessi, Robert Gatenby, Robert Wenham, Philip K Maini, Mehdi Damaghi, Alexander R A Anderson
{"title":"To modulate or to skip: De-escalating PARP inhibitor maintenance therapy in ovarian cancer using adaptive therapy.","authors":"Maximilian A R Strobl, Alexandra L Martin, Jeffrey West, Jill Gallaher, Mark Robertson-Tessi, Robert Gatenby, Robert Wenham, Philip K Maini, Mehdi Damaghi, Alexander R A Anderson","doi":"10.1016/j.cels.2024.04.003","DOIUrl":"10.1016/j.cels.2024.04.003","url":null,"abstract":"<p><p>Toxicity and emerging drug resistance pose important challenges in poly-adenosine ribose polymerase inhibitor (PARPi) maintenance therapy of ovarian cancer. We propose that adaptive therapy, which dynamically reduces treatment based on the tumor dynamics, might alleviate both issues. Utilizing in vitro time-lapse microscopy and stepwise model selection, we calibrate and validate a differential equation mathematical model, which we leverage to test different plausible adaptive treatment schedules. Our model indicates that adjusting the dosage, rather than skipping treatments, is more effective at reducing drug use while maintaining efficacy due to a delay in cell kill and a diminishing dose-response relationship. In vivo pilot experiments confirm this conclusion. Although our focus is toxicity mitigation, reducing drug use may also delay resistance. This study enhances our understanding of PARPi treatment scheduling and illustrates the first steps in developing adaptive therapies for new treatment settings. 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":"510-525.e6"},"PeriodicalIF":0.0,"publicationDate":"2024-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11190943/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141077150","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 : 2024-06-19Epub Date: 2024-06-11DOI: 10.1016/j.cels.2024.05.006
Xiaoxu Li, Jean-David Morel, Jonathan Sulc, Alessia De Masi, Amélia Lalou, Giorgia Benegiamo, Johanne Poisson, Yasmine Liu, Giacomo V G Von Alvensleben, Arwen W Gao, Maroun Bou Sleiman, Johan Auwerx
{"title":"Systems genetics of metabolic health in the BXD mouse genetic reference population.","authors":"Xiaoxu Li, Jean-David Morel, Jonathan Sulc, Alessia De Masi, Amélia Lalou, Giorgia Benegiamo, Johanne Poisson, Yasmine Liu, Giacomo V G Von Alvensleben, Arwen W Gao, Maroun Bou Sleiman, Johan Auwerx","doi":"10.1016/j.cels.2024.05.006","DOIUrl":"10.1016/j.cels.2024.05.006","url":null,"abstract":"<p><p>Susceptibility to metabolic syndrome (MetS) is dependent on genetics, environment, and gene-by-environment interactions, rendering the study of underlying mechanisms challenging. The majority of experiments in model organisms do not incorporate genetic variation and lack specific evaluation criteria for MetS. Here, we derived a continuous metric, the metabolic health score (MHS), based on standard clinical parameters and defined its molecular signatures in the liver and circulation. In human UK Biobank, the MHS associated with MetS status and was predictive of future disease incidence, even in individuals without MetS. Using quantitative trait locus analyses in mice, we found two MHS-associated genetic loci and replicated them in unrelated mouse populations. Through a prioritization scheme in mice and human genetic data, we identified TNKS and MCPH1 as candidates mediating differences in the MHS. Our findings provide insights into the molecular mechanisms sustaining metabolic health across species and uncover likely regulators. 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":"497-509.e3"},"PeriodicalIF":0.0,"publicationDate":"2024-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141312523","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 : 2024-06-19DOI: 10.1016/j.cels.2024.05.004
Carmen Grandi, Martin Emmaneel, Frank H T Nelissen, Laura W M Roosenboom, Yoanna Petrova, Omnia Elzokla, Maike M K Hansen
{"title":"Decoupled degradation and translation enables noise modulation by poly(A) tails.","authors":"Carmen Grandi, Martin Emmaneel, Frank H T Nelissen, Laura W M Roosenboom, Yoanna Petrova, Omnia Elzokla, Maike M K Hansen","doi":"10.1016/j.cels.2024.05.004","DOIUrl":"https://doi.org/10.1016/j.cels.2024.05.004","url":null,"abstract":"<p><p>Poly(A) tails are crucial for mRNA translation and degradation, but the exact relationship between tail length and mRNA kinetics remains unclear. Here, we employ a small library of identical mRNAs that differ only in their poly(A)-tail length to examine their behavior in human embryonic kidney cells. We find that tail length strongly correlates with mRNA degradation rates but is decoupled from translation. Interestingly, an optimal tail length of ∼100 nt displays the highest translation rate, which is identical to the average endogenous tail length measured by nanopore sequencing. Furthermore, poly(A)-tail length variability-a feature of endogenous mRNAs-impacts translation efficiency but not mRNA degradation rates. Stochastic modeling combined with single-cell tracking reveals that poly(A) tails provide cells with an independent handle to tune gene expression fluctuations by decoupling mRNA degradation and translation. Together, this work contributes to the basic understanding of gene expression regulation and has potential applications in nucleic acid therapeutics.</p>","PeriodicalId":93929,"journal":{"name":"Cell systems","volume":"15 6","pages":"526-543.e7"},"PeriodicalIF":0.0,"publicationDate":"2024-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141433660","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 : 2024-05-15DOI: 10.1016/j.cels.2024.04.006
Emily Laubscher, Xuefei Wang, Nitzan Razin, Tom Dougherty, Rosalind J Xu, Lincoln Ombelets, Edward Pao, William Graf, Jeffrey R Moffitt, Yisong Yue, David Van Valen
{"title":"Accurate single-molecule spot detection for image-based spatial transcriptomics with weakly supervised deep learning.","authors":"Emily Laubscher, Xuefei Wang, Nitzan Razin, Tom Dougherty, Rosalind J Xu, Lincoln Ombelets, Edward Pao, William Graf, Jeffrey R Moffitt, Yisong Yue, David Van Valen","doi":"10.1016/j.cels.2024.04.006","DOIUrl":"https://doi.org/10.1016/j.cels.2024.04.006","url":null,"abstract":"<p><p>Image-based spatial transcriptomics methods enable transcriptome-scale gene expression measurements with spatial information but require complex, manually tuned analysis pipelines. We present Polaris, an analysis pipeline for image-based spatial transcriptomics that combines deep-learning models for cell segmentation and spot detection with a probabilistic gene decoder to quantify single-cell gene expression accurately. Polaris offers a unifying, turnkey solution for analyzing spatial transcriptomics data from multiplexed error-robust FISH (MERFISH), sequential fluorescence in situ hybridization (seqFISH), or in situ RNA sequencing (ISS) experiments. Polaris is available through the DeepCell software library (https://github.com/vanvalenlab/deepcell-spots) and https://www.deepcell.org.</p>","PeriodicalId":93929,"journal":{"name":"Cell systems","volume":"15 5","pages":"475-482.e6"},"PeriodicalIF":0.0,"publicationDate":"2024-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140961137","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 : 2024-05-15DOI: 10.1016/j.cels.2024.04.007
Van M Savage
{"title":"Multilevel relations among plankton stitched together with an eco-evolutionary needle.","authors":"Van M Savage","doi":"10.1016/j.cels.2024.04.007","DOIUrl":"https://doi.org/10.1016/j.cels.2024.04.007","url":null,"abstract":"<p><p>Power-law relationships between population abundances, energy use, and other factors are often referred to as macroecological scaling. A recent study convincingly shows that these relationships emerge from individual physiology but only after the population distribution is shaped by trophic interactions that are subject to both ecological and evolutionary pressures.</p>","PeriodicalId":93929,"journal":{"name":"Cell systems","volume":"15 5","pages":"409-410"},"PeriodicalIF":0.0,"publicationDate":"2024-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140961141","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}