Cell genomics最新文献

{"title":"AI-empowered perturbation proteomics for complex biological systems.","authors":"Liujia Qian, Rui Sun, Ruedi Aebersold, Peter Bühlmann, Chris Sander, Tiannan Guo","doi":"10.1016/j.xgen.2024.100691","DOIUrl":"10.1016/j.xgen.2024.100691","url":null,"abstract":"<p><p>The insufficient availability of comprehensive protein-level perturbation data is impeding the widespread adoption of systems biology. In this perspective, we introduce the rationale, essentiality, and practicality of perturbation proteomics. Biological systems are perturbed with diverse biological, chemical, and/or physical factors, followed by proteomic measurements at various levels, including changes in protein expression and turnover, post-translational modifications, protein interactions, transport, and localization, along with phenotypic data. Computational models, employing traditional machine learning or deep learning, identify or predict perturbation responses, mechanisms of action, and protein functions, aiding in therapy selection, compound design, and efficient experiment design. We propose to outline a generic PMMP (perturbation, measurement, modeling to prediction) pipeline and build foundation models or other suitable mathematical models based on large-scale perturbation proteomic data. Finally, we contrast modeling between artificially and naturally perturbed systems and highlight the importance of perturbation proteomics for advancing our understanding and predictive modeling of biological systems.</p>","PeriodicalId":72539,"journal":{"name":"Cell genomics","volume":null,"pages":null},"PeriodicalIF":11.1,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142565443","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":"Genetics of Latin American Diversity Project: Insights into population genetics and association studies in admixed groups in the Americas.","authors":"Victor Borda, Douglas P Loesch, Bing Guo, Roland Laboulaye, Diego Veliz-Otani, Jennifer N French, Thiago Peixoto Leal, Stephanie M Gogarten, Sunday Ikpe, Mateus H Gouveia, Marla Mendes, Gonçalo R Abecasis, Isabela Alvim, Carlos E Arboleda-Bustos, Gonzalo Arboleda, Humberto Arboleda, Mauricio L Barreto, Lucas Barwick, Marcos A Bezzera, John Blangero, Vanderci Borges, Omar Caceres, Jianwen Cai, Pedro Chana-Cuevas, Zhanghua Chen, Brian Custer, Michael Dean, Carla Dinardo, Igor Domingos, Ravindranath Duggirala, Elena Dieguez, Willian Fernandez, Henrique B Ferraz, Frank Gilliland, Heinner Guio, Bernardo Horta, Joanne E Curran, Jill M Johnsen, Robert C Kaplan, Shannon Kelly, Eimear E Kenny, Barbara A Konkle, Charles Kooperberg, Andres Lescano, M Fernanda Lima-Costa, Ruth J F Loos, Ani Manichaikul, Deborah A Meyers, Michel S Naslavsky, Deborah A Nickerson, Kari E North, Carlos Padilla, Michael Preuss, Victor Raggio, Alexander P Reiner, Stephen S Rich, Carlos R Rieder, Michiel Rienstra, Jerome I Rotter, Tatjana Rundek, Ralph L Sacco, Cesar Sanchez, Vijay G Sankaran, Bruno Lopes Santos-Lobato, Artur Francisco Schumacher-Schuh, Marilia O Scliar, Edwin K Silverman, Tamar Sofer, Jessica Lasky-Su, Vitor Tumas, Scott T Weiss, Ignacio F Mata, Ryan D Hernandez, Eduardo Tarazona-Santos, Timothy D O'Connor","doi":"10.1016/j.xgen.2024.100692","DOIUrl":"https://doi.org/10.1016/j.xgen.2024.100692","url":null,"abstract":"<p><p>Latin Americans are underrepresented in genetic studies, increasing disparities in personalized genomic medicine. Despite available genetic data from thousands of Latin Americans, accessing and navigating the bureaucratic hurdles for consent or access remains challenging. To address this, we introduce the Genetics of Latin American Diversity (GLAD) Project, compiling genome-wide information from 53,738 Latin Americans across 39 studies representing 46 geographical regions. Through GLAD, we identified heterogeneous ancestry composition and recent gene flow across the Americas. Additionally, we developed GLAD-match, a simulated annealing-based algorithm, to match the genetic background of external samples to our database, sharing summary statistics (i.e., allele and haplotype frequencies) without transferring individual-level genotypes. Finally, we demonstrate the potential of GLAD as a critical resource for evaluating statistical genetic software in the presence of admixture. By providing this resource, we promote genomic research in Latin Americans and contribute to the promises of personalized medicine to more people.</p>","PeriodicalId":72539,"journal":{"name":"Cell genomics","volume":null,"pages":null},"PeriodicalIF":11.1,"publicationDate":"2024-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142565444","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":"Mechanism-free repurposing of drugs for C9orf72-related ALS/FTD using large-scale genomic data.","authors":"Sara Saez-Atienzar, Cleide Dos Santos Souza, Ruth Chia, Selina N Beal, Ileana Lorenzini, Ruili Huang, Jennifer Levy, Camelia Burciu, Jinhui Ding, J Raphael Gibbs, Ashley Jones, Ramita Dewan, Viviana Pensato, Silvia Peverelli, Lucia Corrado, Joke J F A van Vugt, Wouter van Rheenen, Ceren Tunca, Elif Bayraktar, Menghang Xia, Alfredo Iacoangeli, Aleksey Shatunov, Cinzia Tiloca, Nicola Ticozzi, Federico Verde, Letizia Mazzini, Kevin Kenna, Ahmad Al Khleifat, Sarah Opie-Martin, Flavia Raggi, Massimiliano Filosto, Stefano Cotti Piccinelli, Alessandro Padovani, Stella Gagliardi, Maurizio Inghilleri, Alessandra Ferlini, Rosario Vasta, Andrea Calvo, Cristina Moglia, Antonio Canosa, Umberto Manera, Maurizio Grassano, Jessica Mandrioli, Gabriele Mora, Christian Lunetta, Raffaella Tanel, Francesca Trojsi, Patrizio Cardinali, Salvatore Gallone, Maura Brunetti, Daniela Galimberti, Maria Serpente, Chiara Fenoglio, Elio Scarpini, Giacomo P Comi, Stefania Corti, Roberto Del Bo, Mauro Ceroni, Giuseppe Lauria Pinter, Franco Taroni, Eleonora Dalla Bella, Enrica Bersano, Charles J Curtis, Sang Hyuck Lee, Raymond Chung, Hamel Patel, Karen E Morrison, Johnathan Cooper-Knock, Pamela J Shaw, Gerome Breen, Richard J B Dobson, Clifton L Dalgard, Sonja W Scholz, Ammar Al-Chalabi, Leonard H van den Berg, Russell McLaughlin, Orla Hardiman, Cristina Cereda, Gianni Sorarù, Sandra D'Alfonso, Siddharthan Chandran, Suvankar Pal, Antonia Ratti, Cinzia Gellera, Kory Johnson, Tara Doucet-O'Hare, Nicholas Pasternack, Tongguang Wang, Avindra Nath, Gabriele Siciliano, Vincenzo Silani, Ayşe Nazlı Başak, Jan H Veldink, William Camu, Jonathan D Glass, John E Landers, Adriano Chiò, Rita Sattler, Christopher E Shaw, Laura Ferraiuolo, Isabella Fogh, Bryan J Traynor","doi":"10.1016/j.xgen.2024.100679","DOIUrl":"https://doi.org/10.1016/j.xgen.2024.100679","url":null,"abstract":"<p><p>Repeat expansions in the C9orf72 gene are the most common genetic cause of (ALS) and frontotemporal dementia (FTD). Like other genetic forms of neurodegeneration, pinpointing the precise mechanism(s) by which this mutation leads to neuronal death remains elusive, and this lack of knowledge hampers the development of therapy for C9orf72-related disease. We used an agnostic approach based on genomic data (n = 41,273 ALS and healthy samples, and n = 1,516 C9orf72 carriers) to overcome these bottlenecks. Our drug-repurposing screen, based on gene- and expression-pattern matching and information about the genetic variants influencing onset age among C9orf72 carriers, identified acamprosate, a γ-aminobutyric acid analog, as a potentially repurposable treatment for patients carrying C9orf72 repeat expansions. We validated its neuroprotective effect in cell models and showed comparable efficacy to riluzole, the current standard of care. Our work highlights the potential value of genomics in repurposing drugs in situations where the underlying pathomechanisms are inherently complex. VIDEO ABSTRACT.</p>","PeriodicalId":72539,"journal":{"name":"Cell genomics","volume":null,"pages":null},"PeriodicalIF":11.1,"publicationDate":"2024-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142514021","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":"Single-cell multi-modal integrative analyses highlight functional dynamic gene regulatory networks directing human cardiac development.","authors":"Alyssa R Holman, Shaina Tran, Eugin Destici, Elie N Farah, Ting Li, Aileena C Nelson, Adam J Engler, Neil C Chi","doi":"10.1016/j.xgen.2024.100680","DOIUrl":"https://doi.org/10.1016/j.xgen.2024.100680","url":null,"abstract":"<p><p>Illuminating the precise stepwise genetic programs directing cardiac development provides insights into the mechanisms of congenital heart disease and strategies for cardiac regenerative therapies. Here, we integrate in vitro and in vivo human single-cell multi-omic studies with high-throughput functional genomic screening to reveal dynamic, cardiac-specific gene regulatory networks (GRNs) and transcriptional regulators during human cardiomyocyte development. Interrogating developmental trajectories reconstructed from single-cell data unexpectedly reveal divergent cardiomyocyte lineages with distinct gene programs based on developmental signaling pathways. High-throughput functional genomic screens identify key transcription factors from inferred GRNs that are functionally relevant for cardiomyocyte lineages derived from each pathway. Notably, we discover a critical heat shock transcription factor 1 (HSF1)-mediated cardiometabolic GRN controlling cardiac mitochondrial/metabolic function and cell survival, also observed in fetal human cardiomyocytes. Overall, these multi-modal genomic studies enable the systematic discovery and validation of coordinated GRNs and transcriptional regulators controlling the development of distinct human cardiomyocyte populations.</p>","PeriodicalId":72539,"journal":{"name":"Cell genomics","volume":null,"pages":null},"PeriodicalIF":11.1,"publicationDate":"2024-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142514022","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":"Gene regulatory network inference from CRISPR perturbations in primary CD4⁺ T cells elucidates the genomic basis of immune disease.","authors":"Joshua S Weinstock, Maya M Arce, Jacob W Freimer, Mineto Ota, Alexander Marson, Alexis Battle, Jonathan K Pritchard","doi":"10.1016/j.xgen.2024.100671","DOIUrl":"https://doi.org/10.1016/j.xgen.2024.100671","url":null,"abstract":"<p><p>The effects of genetic variation on complex traits act mainly through changes in gene regulation. Although many genetic variants have been linked to target genes in cis, the trans-regulatory cascade mediating their effects remains largely uncharacterized. Mapping trans-regulators based on natural genetic variation has been challenging due to small effects, but experimental perturbations offer a complementary approach. Using CRISPR, we knocked out 84 genes in primary CD4⁺ T cells, targeting inborn error of immunity (IEI) disease transcription factors (TFs) and TFs without immune disease association. We developed a novel gene network inference method called linear latent causal Bayes (LLCB) to estimate the network from perturbation data and observed 211 regulatory connections between genes. We characterized programs affected by the TFs, which we associated with immune genome-wide association study (GWAS) genes, finding that JAK-STAT family members are regulated by KMT2A, an epigenetic regulator. These analyses reveal the trans-regulatory cascades linking GWAS genes to signaling pathways.</p>","PeriodicalId":72539,"journal":{"name":"Cell genomics","volume":null,"pages":null},"PeriodicalIF":11.1,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142482260","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":"Analysis of single-cell CRISPR perturbations indicates that enhancers predominantly act multiplicatively.","authors":"Jessica L Zhou, Karthik Guruvayurappan, Shushan Toneyan, Hsiuyi V Chen, Aaron R Chen, Peter Koo, Graham McVicker","doi":"10.1016/j.xgen.2024.100672","DOIUrl":"10.1016/j.xgen.2024.100672","url":null,"abstract":"<p><p>A single gene may have multiple enhancers, but how they work in concert to regulate transcription is poorly understood. To analyze enhancer interactions throughout the genome, we developed a generalized linear modeling framework, GLiMMIRS, for interrogating enhancer effects from single-cell CRISPR experiments. We applied GLiMMIRS to a published dataset and tested for interactions between 46,166 enhancer pairs and corresponding genes, including 264 \"high-confidence\" enhancer pairs. We found that enhancer effects combine multiplicatively but with limited evidence for further interactions. Only 31 enhancer pairs exhibited significant interactions (false discovery rate <0.1), none of which came from the high-confidence set, and 20 were driven by outlier expression values. Additional analyses of a second CRISPR dataset and in silico enhancer perturbations with Enformer both support a multiplicative model of enhancer effects without interactions. Altogether, our results indicate that enhancer interactions are uncommon or have small effects that are difficult to detect.</p>","PeriodicalId":72539,"journal":{"name":"Cell genomics","volume":null,"pages":null},"PeriodicalIF":11.1,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142482258","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":"Long-read sequencing of an advanced cancer cohort resolves rearrangements, unravels haplotypes, and reveals methylation landscapes.","authors":"Kieran O'Neill, Erin Pleasance, Jeremy Fan, Vahid Akbari, Glenn Chang, Katherine Dixon, Veronika Csizmok, Signe MacLennan, Vanessa Porter, Andrew Galbraith, Cameron J Grisdale, Luka Culibrk, John H Dupuis, Richard Corbett, James Hopkins, Reanne Bowlby, Pawan Pandoh, Duane E Smailus, Dean Cheng, Tina Wong, Connor Frey, Yaoqing Shen, Eleanor Lewis, Luis F Paulin, Fritz J Sedlazeck, Jessica M T Nelson, Eric Chuah, Karen L Mungall, Richard A Moore, Robin Coope, Andrew J Mungall, Melissa K McConechy, Laura M Williamson, Kasmintan A Schrader, Stephen Yip, Marco A Marra, Janessa Laskin, Steven J M Jones","doi":"10.1016/j.xgen.2024.100674","DOIUrl":"https://doi.org/10.1016/j.xgen.2024.100674","url":null,"abstract":"<p><p>The Long-Read Personalized OncoGenomics (POG) dataset comprises a cohort of 189 patient tumors and 41 matched normal samples sequenced using the Oxford Nanopore Technologies PromethION platform. This dataset from the POG program and the Marathon of Hope Cancer Centres Network includes DNA and RNA short-read sequence data, analytics, and clinical information. We show the potential of long-read sequencing for resolving complex cancer-related structural variants, viral integrations, and extrachromosomal circular DNA. Long-range phasing facilitates the discovery of allelically differentially methylated regions (aDMRs) and allele-specific expression, including recurrent aDMRs in the cancer genes RET and CDKN2A. Germline promoter methylation in MLH1 can be directly observed in Lynch syndrome. Promoter methylation in BRCA1 and RAD51C is a likely driver behind homologous recombination deficiency where no coding driver mutation was found. This dataset demonstrates applications for long-read sequencing in precision medicine and is available as a resource for developing analytical approaches using this technology.</p>","PeriodicalId":72539,"journal":{"name":"Cell genomics","volume":null,"pages":null},"PeriodicalIF":11.1,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142482262","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":"Leveraging genomes to support conservation and bioeconomy policies in a megadiverse country.","authors":"Sibelle Torres Vilaça, Amanda F Vidal, Ana Carolina D'Oliveira Pavan, Bruno Marques Silva, Carolina S Carvalho, Cintia Povill, Danielle Luna-Lucena, Gisele L Nunes, Henrique Vieira Figueiró, Izabela Santos Mendes, Jose Augusto P Bittencourt, Lara Gomes Côrtes, Lucas Eduardo Costa Canesin, Renato R M Oliveira, Roberta P Damasceno, Santelmo Vasconcelos, Silvia B Barreto, Valeria Tavares, Guilherme Oliveira, Amely Branquinho Martins, Alexandre Aleixo","doi":"10.1016/j.xgen.2024.100678","DOIUrl":"https://doi.org/10.1016/j.xgen.2024.100678","url":null,"abstract":"<p><p>The biodiversity crisis is a global phenomenon, and measures to monitor, stop, and revert the impacts on species' extinction risk are urgently needed. Megadiverse countries, especially in the Global South, are responsible for managing and protecting Earth's biodiversity. Various initiatives have started to sequence reference-level genomes or perform large-scale species detection and monitoring through environmental DNA. Here, we outline the Genomics of the Brazilian Biodiversity (GBB) consortium that is contributing to public policies on the conservation and management of Brazilian species. We describe our unique public-private governance and lessons in setting up a genomic consortium in a megadiverse country of continental scale. We explore the challenges while sharing knowledge for similar initiatives in the Global South. Ultimately, we aim to encourage Brazilian institutions and other megadiverse countries to invest and participate in large-scale genomic initiatives, demonstrating their commitment to preserving and monitoring their exceptional natural heritage while contributing to global biodiversity conservation.</p>","PeriodicalId":72539,"journal":{"name":"Cell genomics","volume":null,"pages":null},"PeriodicalIF":11.1,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142482261","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":"Complex structural variation is prevalent and highly pathogenic in pediatric solid tumors.","authors":"Ianthe A E M van Belzen, Marc van Tuil, Shashi Badloe, Alex Janse, Eugène T P Verwiel, Marcel Santoso, Sam de Vos, John Baker-Hernandez, Hindrik H D Kerstens, Nienke Solleveld-Westerink, Michael T Meister, Jarno Drost, Marry M van den Heuvel-Eibrink, Johannes H M Merks, Jan J Molenaar, Weng Chuan Peng, Bastiaan B J Tops, Frank C P Holstege, Patrick Kemmeren, Jayne Y Hehir-Kwa","doi":"10.1016/j.xgen.2024.100675","DOIUrl":"https://doi.org/10.1016/j.xgen.2024.100675","url":null,"abstract":"<p><p>In pediatric cancer, structural variants (SVs) and copy-number alterations contribute to cancer initiation as well as progression, thereby aiding diagnosis and treatment stratification. Although suggested to be of importance, the prevalence and biological relevance of complex genomic rearrangements (CGRs) across pediatric solid tumors is largely unexplored. In a cohort of 120 primary tumors, we systematically characterized patterns of extrachromosomal DNA, chromoplexy, and chromothripsis across five pediatric solid cancer types. CGRs were identified in 56 tumors (47%), and in 42 of these tumors, CGRs affect cancer driver genes or result in unfavorable chromosomal alterations. This demonstrates that CGRs are prevalent and pathogenic in pediatric solid tumors and suggests that selection likely contributes to the structural variation landscape. Moreover, carrying CGRs is associated with more adverse clinical events. Our study highlights the potential for CGRs to be incorporated in risk stratification or exploited for targeted treatments.</p>","PeriodicalId":72539,"journal":{"name":"Cell genomics","volume":null,"pages":null},"PeriodicalIF":11.1,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142482259","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":"Functional and dynamic profiling of transcript isoforms reveals essential roles of alternative splicing in interferon response.","authors":"Mahoko Takahashi Ueda, Jun Inamo, Fuyuki Miya, Mihoko Shimada, Kensuke Yamaguchi, Yuta Kochi","doi":"10.1016/j.xgen.2024.100654","DOIUrl":"10.1016/j.xgen.2024.100654","url":null,"abstract":"<p><p>Type I interferon (IFN-I) plays an important role in the innate immune response through inducing IFN-I-stimulated genes (ISGs). However, how alternative splicing (AS) events, especially over time, affect their function remains poorly understood. We generated an annotation (113,843 transcripts) for IFN-I-stimulated human B cells called isoISG using high-accuracy long-read sequencing data from PacBio Sequel II/IIe. Transcript isoform profiling using isoISG revealed that isoform switching occurred in the early response to IFN-I so that ISGs would gain functional domains (e.g., C4B) or higher protein production (e.g., IRF3). Conversely, isoforms lacking functional domains increased during the late phase of IFN-I response, mainly due to intron retention events. This suggests that isoform switching both triggers and terminates IFN-I responses at the translation and protein levels. Furthermore, genetic variants influencing the isoform ratio of ISGs were associated with immunological and infectious diseases. AS has essential roles in regulating innate immune response and associated diseases.</p>","PeriodicalId":72539,"journal":{"name":"Cell genomics","volume":null,"pages":null},"PeriodicalIF":11.1,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142302396","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}