Cell genomicsPub Date : 2025-06-13DOI: 10.1016/j.xgen.2025.100918
Emily Stephenson, Erin Macdonald-Dunlop, Lisa M Dratva, Rik G H Lindeboom, Zewen Kelvin Tuong, Win Min Tun, Lorenz Kretschmer, Norzawani B Buang, Stephane Ballereau, Mia Cabantaus, Ana Peñalver, Elena Prigmore, John R Ferdinand, Benjamin J Stewart, Jack Gisby, Talat H Malik, Candice L Clarke, Nicholas Medjeral-Thomas, Maria Prendecki, Stephen McAdoo, Anais Portet, Michelle Willicombe, Eleanor Sandhu, Matthew C Pickering, Marina Botto, Sarah A Teichmann, Muzlifah Haniffa, Menna R Clatworthy, David C Thomas, James E Peters
{"title":"Temporal multi-omics analysis of COVID-19 in end-stage kidney disease.","authors":"Emily Stephenson, Erin Macdonald-Dunlop, Lisa M Dratva, Rik G H Lindeboom, Zewen Kelvin Tuong, Win Min Tun, Lorenz Kretschmer, Norzawani B Buang, Stephane Ballereau, Mia Cabantaus, Ana Peñalver, Elena Prigmore, John R Ferdinand, Benjamin J Stewart, Jack Gisby, Talat H Malik, Candice L Clarke, Nicholas Medjeral-Thomas, Maria Prendecki, Stephen McAdoo, Anais Portet, Michelle Willicombe, Eleanor Sandhu, Matthew C Pickering, Marina Botto, Sarah A Teichmann, Muzlifah Haniffa, Menna R Clatworthy, David C Thomas, James E Peters","doi":"10.1016/j.xgen.2025.100918","DOIUrl":"https://doi.org/10.1016/j.xgen.2025.100918","url":null,"abstract":"<p><p>Patients with end-stage kidney disease (ESKD) are at high risk of severe COVID-19. We performed longitudinal single-cell immune profiling of ESKD patients with COVID-19. Transcriptome, surface proteome, and immunoreceptor sequencing data were generated on 580,040 high-quality cells, derived from 187 samples from 61 patients. For a subset of individuals, we obtained samples before and during infection, allowing intra-individual comparison. Longitudinal profiling demonstrated distinct temporal gene expression trajectories in severe/critical versus mild/moderate COVID-19. We identified a population of transcriptionally distinct monocytes that emerged in peripheral blood following glucocorticoid treatment. Evaluation of clonal T cell dynamics showed that the fastest expanding clones were enriched in known SARS-CoV-2-specific sequences and shared across multiple patients. Comparison with external datasets revealed upregulation of immune cell TGF-β pathway expression in ESKD, irrespective of COVID-19 status. Our data delineate the temporal dynamics of the immune response in COVID-19 in a high-risk population.</p>","PeriodicalId":72539,"journal":{"name":"Cell genomics","volume":" ","pages":"100918"},"PeriodicalIF":11.1,"publicationDate":"2025-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144327898","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 genomicsPub Date : 2025-06-11Epub Date: 2025-05-21DOI: 10.1016/j.xgen.2025.100855
Yufeng Zhang, Jie Wang, Chuanyou Yi, Yue Su, Zi Yin, Shuxian Zhang, Li Jin, Mark Stoneking, Jian Yang, Ke Wang, He Huang, Jin Li, Shaohua Fan
{"title":"An ancient regulatory variant of ACSF3 influences the coevolution of increased human height and basal metabolic rate via metabolic homeostasis.","authors":"Yufeng Zhang, Jie Wang, Chuanyou Yi, Yue Su, Zi Yin, Shuxian Zhang, Li Jin, Mark Stoneking, Jian Yang, Ke Wang, He Huang, Jin Li, Shaohua Fan","doi":"10.1016/j.xgen.2025.100855","DOIUrl":"10.1016/j.xgen.2025.100855","url":null,"abstract":"<p><p>Anatomically modern humans (AMHs) exhibit a significant increase in basal metabolic rate (BMR) and height compared to non-human apes. This study investigates the genetic basis underlying these traits. Our analyses reveal a strong genetic correlation between height and BMR. A regulatory mutation, rs34590044-A, was found to be associated with the increased height and BMR in AMHs. rs34590044-A upregulates the expression of ACSF3 by increasing its enhancer activity, leading to increased body length and BMR in mice fed essential amino acids which are characteristic of meat-based diets. In the British population, rs34590044-A has been under positive selection over the past 20,000 years, with a particularly strong signal in the last 5,000 years, as also evidenced by ancient DNA analysis. These results suggest that the emergence of rs34590044-A may have facilitated the adaptation to a meat-enriched diet in AMHs, with increased height and BMR as consequences of this dietary shift.</p>","PeriodicalId":72539,"journal":{"name":"Cell genomics","volume":" ","pages":"100855"},"PeriodicalIF":11.1,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144129591","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 genomicsPub Date : 2025-06-11DOI: 10.1016/j.xgen.2025.100877
Jun Nomura, Amila Zuko, Keiko Kishimoto, Hiroaki Mutsumine, Hiroko Maegawa, Kazumi Fukatsu, Yoshiko Nomura, Xiaoxi Liu, Nobuhiro Nakai, Eiki Takahashi, Tsukasa Kouno, Jay W Shin, Toru Takumi
{"title":"ESC models of autism with copy-number variations reveal cell-type-specific translational vulnerability.","authors":"Jun Nomura, Amila Zuko, Keiko Kishimoto, Hiroaki Mutsumine, Hiroko Maegawa, Kazumi Fukatsu, Yoshiko Nomura, Xiaoxi Liu, Nobuhiro Nakai, Eiki Takahashi, Tsukasa Kouno, Jay W Shin, Toru Takumi","doi":"10.1016/j.xgen.2025.100877","DOIUrl":"https://doi.org/10.1016/j.xgen.2025.100877","url":null,"abstract":"<p><p>Human genetics has identified numerous copy-number variations (CNVs) associated with autism spectrum disorders (ASDs). However, the lack of standardized biological resources impedes understanding of the cell-type-specific common features of ASD. Here, we establish a biological resource including 63 genetically modified mouse embryonic stem cell (ESC) lines as genetic models of ASD. We perform neural differentiation using 12 representative cell lines, and their comprehensive analyses, including single-cell RNA sequencing, uncover cell-type-specific susceptible pathways. Moreover, we find that a common phenotype in glutamatergic and GABAergic neurons is reduced expression of Upf3b, a core member of the translational termination and nonsense-mediated decay (NMD). This finding emphasizes that the dysfunction of translational machinery in the developing neurons can be a possible target of early intervention for ASD. This ESC model bank becomes an invaluable resource for studies in vitro and in vivo of ASD or other neuropsychiatric disorders.</p>","PeriodicalId":72539,"journal":{"name":"Cell genomics","volume":"5 6","pages":"100877"},"PeriodicalIF":11.1,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144287412","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 genomicsPub Date : 2025-06-11Epub Date: 2025-05-12DOI: 10.1016/j.xgen.2025.100872
Yerin Kim, Luke Saville, Kieran O'Neill, Jean-Michel Garant, Yilin Liu, Simon Haile-Merhu, Maryam Ghashghaei, Quang Anh Hoang, Amber Louwagie, Yongjin P Park, Steven J M Jones, Ly P Vu
{"title":"Nanopore direct RNA sequencing of human transcriptomes reveals the complexity of mRNA modifications and crosstalk between regulatory features.","authors":"Yerin Kim, Luke Saville, Kieran O'Neill, Jean-Michel Garant, Yilin Liu, Simon Haile-Merhu, Maryam Ghashghaei, Quang Anh Hoang, Amber Louwagie, Yongjin P Park, Steven J M Jones, Ly P Vu","doi":"10.1016/j.xgen.2025.100872","DOIUrl":"10.1016/j.xgen.2025.100872","url":null,"abstract":"<p><p>The identification and functional characterization of chemical modifications on an mRNA molecule, in particular N<sup>6</sup>-methyladenosine (m<sup>6</sup>A) modification, significantly broadened our understanding of RNA function and regulation. While interactions between RNA modifications and other RNA features have been proposed, direct evidence showing correlation is limited. Here, using Oxford Nanopore long-read direct RNA sequencing (dRNA-seq), we simultaneously interrogate the transcriptome and epitranscriptome of a human leukemia cell line to investigate the correlation between m<sup>6</sup>A modifications, mRNA abundance, mRNA stability, polyadenylation (poly(A)) tail length, and alternative splicing. High-quality dRNA-seq is important for unbiased and large-scale correlative analyses. Global assessments indicated a negative association between poly(A) tail length and mRNA abundance while uncovering pathway-specific responses upon depletion of the m<sup>6</sup>A-forming enzyme METTL3. Overall, our study presented a rich dRNA-seq data resource that has been validated and can be further exploited to inquire into the complexity of RNA modifications and potential interplays between RNA regulatory elements.</p>","PeriodicalId":72539,"journal":{"name":"Cell genomics","volume":" ","pages":"100872"},"PeriodicalIF":11.1,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144013530","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 genomicsPub Date : 2025-06-11DOI: 10.1016/j.xgen.2025.100919
Guillaume Giraud Collet, Nicola Festuccia, Pablo Navarro
{"title":"Embryo and prejudice: From diverse first transcriptional impressions to a common developmental path.","authors":"Guillaume Giraud Collet, Nicola Festuccia, Pablo Navarro","doi":"10.1016/j.xgen.2025.100919","DOIUrl":"https://doi.org/10.1016/j.xgen.2025.100919","url":null,"abstract":"<p><p>Pre-implantation mammalian development culminates in the blastocyst, where embryonic and extra-embryonic tissue founders reside. However, species variations in the underlying mechanisms, starting from zygotic genome activation (ZGA), remain underexplored. In this issue of Cell Genomics, Zhang et al.<sup>1</sup> studied RNA Pol II in bovine embryos and discovered super RNA Pol II domains, a regulatory architecture promoting transcription in species with delayed ZGA.</p>","PeriodicalId":72539,"journal":{"name":"Cell genomics","volume":"5 6","pages":"100919"},"PeriodicalIF":11.1,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144287411","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 genomicsPub Date : 2025-06-11Epub Date: 2025-05-21DOI: 10.1016/j.xgen.2025.100879
Nelson J Johansen, Niklas Kempynck, Nathan R Zemke, Saroja Somasundaram, Seppe De Winter, Marcus Hooper, Deepanjali Dwivedi, Ruchi Lohia, Fabien Wehbe, Bocheng Li, Darina Abaffyová, Ethan J Armand, Julie De Man, Eren Can Ekşi, Nikolai Hecker, Gert Hulselmans, Vasilis Konstantakos, David Mauduit, John K Mich, Gabriele Partel, Tanya L Daigle, Boaz P Levi, Kai Zhang, Yoshiaki Tanaka, Jesse Gillis, Jonathan T Ting, Yoav Ben-Simon, Jeremy Miller, Joseph R Ecker, Bing Ren, Stein Aerts, Ed S Lein, Bosiljka Tasic, Trygve E Bakken
{"title":"Evaluating methods for the prediction of cell-type-specific enhancers in the mammalian cortex.","authors":"Nelson J Johansen, Niklas Kempynck, Nathan R Zemke, Saroja Somasundaram, Seppe De Winter, Marcus Hooper, Deepanjali Dwivedi, Ruchi Lohia, Fabien Wehbe, Bocheng Li, Darina Abaffyová, Ethan J Armand, Julie De Man, Eren Can Ekşi, Nikolai Hecker, Gert Hulselmans, Vasilis Konstantakos, David Mauduit, John K Mich, Gabriele Partel, Tanya L Daigle, Boaz P Levi, Kai Zhang, Yoshiaki Tanaka, Jesse Gillis, Jonathan T Ting, Yoav Ben-Simon, Jeremy Miller, Joseph R Ecker, Bing Ren, Stein Aerts, Ed S Lein, Bosiljka Tasic, Trygve E Bakken","doi":"10.1016/j.xgen.2025.100879","DOIUrl":"10.1016/j.xgen.2025.100879","url":null,"abstract":"<p><p>Identifying cell-type-specific enhancers is critical for developing genetic tools to study the mammalian brain. We organized the \"Brain Initiative Cell Census Network (BICCN) Challenge: Predicting Functional Cell Type-Specific Enhancers from Cross-Species Multi-Omics\" to evaluate machine learning and feature-based methods for nominating enhancer sequences targeting mouse cortical cell types. Methods were assessed using in vivo data from hundreds of adeno-associated virus (AAV)-packaged, retro-orbitally delivered enhancers. Open chromatin was the strongest predictor of functional enhancers, while sequence models improved prediction of non-functional enhancers and identified cell-type-specific transcription factor codes to inform in silico enhancer design. This challenge establishes a benchmark for enhancer prioritization and highlights computational and molecular features critical for identifying functional cortical enhancers, advancing efforts to map and manipulate gene regulation in the mammalian cortex.</p>","PeriodicalId":72539,"journal":{"name":"Cell genomics","volume":" ","pages":"100879"},"PeriodicalIF":11.1,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144129592","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 genomicsPub Date : 2025-06-11Epub Date: 2025-04-21DOI: 10.1016/j.xgen.2025.100853
Botond Hegedüs, Neha Sahu, Balázs Bálint, Sajeet Haridas, Viktória Bense, Zsolt Merényi, Máté Virágh, Hongli Wu, Xiao-Bin Liu, Robert Riley, Anna Lipzen, Maxim Koriabine, Emily Savage, Jie Guo, Kerrie Barry, Vivian Ng, Péter Urbán, Attila Gyenesei, Michael Freitag, Igor V Grigoriev, László G Nagy
{"title":"Morphogenesis, starvation, and light responses in a mushroom-forming fungus revealed by long-read sequencing and extensive expression profiling.","authors":"Botond Hegedüs, Neha Sahu, Balázs Bálint, Sajeet Haridas, Viktória Bense, Zsolt Merényi, Máté Virágh, Hongli Wu, Xiao-Bin Liu, Robert Riley, Anna Lipzen, Maxim Koriabine, Emily Savage, Jie Guo, Kerrie Barry, Vivian Ng, Péter Urbán, Attila Gyenesei, Michael Freitag, Igor V Grigoriev, László G Nagy","doi":"10.1016/j.xgen.2025.100853","DOIUrl":"10.1016/j.xgen.2025.100853","url":null,"abstract":"<p><p>Mushroom-forming fungi (Agaricomycetes) are emerging as pivotal players in several fields of science and industry. Genomic data for Agaricomycetes are accumulating rapidly; however, this is not paralleled by improvements of gene annotations, which leave gene function notoriously poorly understood. We set out to improve our functional understanding of the model mushroom Coprinopsis cinerea by integrating a new, chromosome-level assembly, high-quality gene predictions, and functional information derived from broad gene-expression profiling data. The new annotation includes 5' and 3' untranslated regions (UTRs), polyadenylation sites (PASs), upstream open reading frames (uORFs), splicing isoforms, and microexons, as well as core gene sets corresponding to carbon starvation, light response, and hyphal differentiation. As a result, the genome of C. cinerea has now become the most comprehensively annotated genome among mushroom-forming fungi, which will contribute to multiple rapidly expanding fields, including research on their life history, light and stress responses, as well as multicellular development.</p>","PeriodicalId":72539,"journal":{"name":"Cell genomics","volume":" ","pages":"100853"},"PeriodicalIF":11.1,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144029705","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":"Incorporating multiple functional annotations to improve polygenic risk prediction accuracy.","authors":"Zhonghe Shao, Wangxia Tang, Hongji Wu, Yifan Kong, Xingjie Hao","doi":"10.1016/j.xgen.2025.100850","DOIUrl":"10.1016/j.xgen.2025.100850","url":null,"abstract":"<p><p>We present OmniPRS, a scalable biobank-scale framework that improves genetic risk prediction for complex traits by integrating genome-wide association study (GWAS) summary statistics and functional annotations. It employs a mixed model incorporating tissue-specific genetic variance components from annotations to re-estimate single-nucleotide polymorphism (SNP) effects and constructs tissue-specific polygenic risk scores (PRSs) and aggregates them into the final OmniPRS. Our experiments, encompassing 135 simulation scenarios and 11 representative traits, demonstrate that OmniPRS is flexible and robust, delivering efficient and accurate predictions comparable to ten leading PRS methods. For quantitative (binary) traits, OmniPRS achieved an average improvement of 52.31% (19.83%) versus the clumping and thresholding (C+T) method, 3.92% (1.31%) versus the annotation-integrated PRSs (LDpred-funct), and 8.44% (2.27%) versus the Bayesian-based PRSs (PRScs). Notably, it achieved 35× faster computation than the PRScs. This rapid, precise framework enables efficient polygenic risk scoring with multi-annotation integration for large-scale genomic studies.</p>","PeriodicalId":72539,"journal":{"name":"Cell genomics","volume":" ","pages":"100850"},"PeriodicalIF":11.1,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144045624","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 genomicsPub Date : 2025-06-11Epub Date: 2025-04-25DOI: 10.1016/j.xgen.2025.100854
Feiyi Wang, Aoxing Liu, Zhiyu Yang, Pekka Vartiainen, Sakari Jukarainen, Satu Koskela, Richard Oram, Lowri Allen, Jarmo Ritari, Jukka Partanen, Markus Perola, Tiinamaija Tuomi, Andrea Ganna
{"title":"Effects of parental autoimmune diseases on type 1 diabetes in offspring can be partially explained by HLA and non-HLA polymorphisms.","authors":"Feiyi Wang, Aoxing Liu, Zhiyu Yang, Pekka Vartiainen, Sakari Jukarainen, Satu Koskela, Richard Oram, Lowri Allen, Jarmo Ritari, Jukka Partanen, Markus Perola, Tiinamaija Tuomi, Andrea Ganna","doi":"10.1016/j.xgen.2025.100854","DOIUrl":"10.1016/j.xgen.2025.100854","url":null,"abstract":"<p><p>Type 1 diabetes (T1D) and other autoimmune diseases (AIDs) often co-occur in families. Leveraging data from 58,284 family trios in Finnish nationwide registers (FinRegistry), we identified that, of 50 parental AIDs examined, 15 were associated with an increased T1D risk in offspring. These identified epidemiological associations were further assessed in 470,000 genotyped Finns from the FinnGen study through comprehensive genetic analyses, partitioned into human leukocyte antigen (HLA) and non-HLA variations. Using FinnGen's 12,563 trios, a within-family polygenic transmission analysis demonstrated that the aggregation of many parental AIDs with offspring T1D can be partially explained by HLA and non-HLA polymorphisms in a disease-dependent manner. We therefore proposed a parental polygenic score (PGS), incorporating both HLA and non-HLA polymorphisms, to characterize the cumulative risk pattern of T1D in offspring. This raises an intriguing possibility of using parental PGS, in conjunction with clinical diagnoses, to inform individuals about T1D risk in their offspring.</p>","PeriodicalId":72539,"journal":{"name":"Cell genomics","volume":" ","pages":"100854"},"PeriodicalIF":11.1,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144054174","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 genomicsPub Date : 2025-06-11DOI: 10.1016/j.xgen.2025.100895
Anthony M Gacita, Struan F A Grant
{"title":"Parental autoimmunity genetics and offspring type 1 diabetes risk.","authors":"Anthony M Gacita, Struan F A Grant","doi":"10.1016/j.xgen.2025.100895","DOIUrl":"https://doi.org/10.1016/j.xgen.2025.100895","url":null,"abstract":"<p><p>Many children presenting with type 1 diabetes have a family history of the disorder or another autoimmune disease. In this issue of Cell Genomics, Wang et al.<sup>1</sup> use extensive clinical and genetic databases to identify the genetic factors contributing to this familial aggregation and develop polygenic risk scores that predict pediatric type 1 diabetes pathogenesis with high accuracy.</p>","PeriodicalId":72539,"journal":{"name":"Cell genomics","volume":"5 6","pages":"100895"},"PeriodicalIF":11.1,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144287413","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}
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