Frontiers in GeneticsPub Date : 2025-07-01eCollection Date: 2025-01-01DOI: 10.3389/fgene.2025.1586287
Xi Zhang, Long Yu, Cuizhi Geng
{"title":"Expression characteristics, molecular mechanisms, and clinical significance of DICER1 in breast cancer.","authors":"Xi Zhang, Long Yu, Cuizhi Geng","doi":"10.3389/fgene.2025.1586287","DOIUrl":"https://doi.org/10.3389/fgene.2025.1586287","url":null,"abstract":"<p><strong>Objective: </strong>This study aims to investigate the expression patterns, molecular mechanisms, and clinical significance of DICER1 in breast cancer (BRCA), providing new biomarkers and therapeutic targets for prognosis assessment and personalized treatment of breast cancer.</p><p><strong>Methods: </strong>By integrating RNA-seq data, clinical data, and tumor mutation burden (TMB) data from The Cancer Genome Atlas (TCGA) database, as well as single-cell transcriptomic data from the Gene Expression Omnibus (GEO) database, we analyzed the expression characteristics of DICER1 in breast cancer. Weighted gene co-expression network analysis (WGCNA) was used to identify gene modules associated with the breast cancer phenotype, and gene set enrichment analysis (GSEA) was performed to explore their biological functions. Cellular experiments were conducted to verify the effects of DICER1 on the proliferation, migration, and invasion of breast cancer cells. A nomogram model was constructed based on clinical data to evaluate its prognostic value. Additionally, the effects of DICER1 expression levels on drug sensitivity and the tumor immune microenvironment were analyzed.</p><p><strong>Results: </strong>The expression of DICER1 in breast cancer tissues was significantly lower than that in normal tissues, and was significantly correlated with tumor stage, T stage, and TMB levels. The expression level of DICER1 was an independent prognostic factor for breast cancer patients. The nomogram model based on DICER1 expression and clinical features demonstrated good discriminative ability in predicting patient survival probability. Drug sensitivity analysis revealed that the high-expression group of DICER1 exhibited higher sensitivity to multiple drugs. Immune microenvironment analysis indicated that the low-expression group of DICER1 had higher immune-suppressive features and immune exclusion scores, suggesting potential resistance to immunotherapy. Single-cell transcriptomic analysis revealed heterogeneous expression of DICER1 in breast cancer cell populations and its potential role in cell-cell communication.</p><p><strong>Conclusion: </strong>DICER1 plays an important regulatory role in breast cancer, with its expression level closely related to tumor progression, the immune microenvironment, and drug sensitivity. DICER1 has the potential to become an important biomarker for prognosis assessment in breast cancer and may provide new targets for future immunotherapy and targeted therapy.</p>","PeriodicalId":12750,"journal":{"name":"Frontiers in Genetics","volume":"16 ","pages":"1586287"},"PeriodicalIF":2.8,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12259429/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144642372","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Topologically associating domains of chromatin on single-cell Hi-C data: a survey of bioinformatic tools and applications in the light of artificial intelligence.","authors":"Hongqiang Lyu, Yao Li, Xinran Chen, Yuan Liu, Erhu Liu, Xiaoliang Cheng","doi":"10.3389/fgene.2025.1602234","DOIUrl":"https://doi.org/10.3389/fgene.2025.1602234","url":null,"abstract":"<p><p>Topologically associating domains (TADs) uncovered on bulk Hi-C data are regarded as fundamental building blocks of a three-dimensional genome, and they are believed to effectively participate in the regulatory programs of gene expression. The computational analysis of TADs on single-cell Hi-C (scHi-C) data in the era of single-cell transcriptomics has received continuous attention since it may provide information beyond that on bulk Hi-C data. Unfortunately, the contact matrix for a single cell is ultra-sparse due to the low sequencing depth. Coupled with noises, artifacts, and dropout events from experiments, as well as cell heterogeneity caused by the cell cycle and transcription status, the computational analysis of TAD structures at the single-cell level has encountered some challenges not encountered at the bulk level. Herein, conduct a survey of bioinformatic tools and applications for TAD structures at the single-cell level in the light of artificial intelligence, including imputation of scHi-C data, identification of TAD boundaries and hierarchy, and differential analysis of TAD structures. The categories, characteristics, and evolutions of the latest available methods are summarized, especially the artificial intelligence strategies involved in these issues. This is followed by a discussion on why deep neural networks are attractive when discovering complex patterns from scHi-C data with an enormous number of cells and how it promotes the computational analysis of TADs at the single-cell level. Furthermore, the challenges that may be encountered in the analysis are outlined, and an outlook on the emerging trends in the near future is presented cautiously.</p>","PeriodicalId":12750,"journal":{"name":"Frontiers in Genetics","volume":"16 ","pages":"1602234"},"PeriodicalIF":2.8,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12260867/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144642374","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Frontiers in GeneticsPub Date : 2025-07-01eCollection Date: 2025-01-01DOI: 10.3389/fgene.2025.1614541
Zhaowu Li, Yue Hu, Chunzhi Liang, Lu Chen, Yao Hu, Xiaoqiu Wu, Xia Chen
{"title":"Genome-wide identification of <i>LHT</i> gene family in <i>Lonicera macranthoides</i> Hand.-Mazz and their responses to abiotic stresses.","authors":"Zhaowu Li, Yue Hu, Chunzhi Liang, Lu Chen, Yao Hu, Xiaoqiu Wu, Xia Chen","doi":"10.3389/fgene.2025.1614541","DOIUrl":"https://doi.org/10.3389/fgene.2025.1614541","url":null,"abstract":"<p><p>Amino acid transporters (AATs) allow the transport of amino acids and play important roles in the various physiological processes and environmental responses of plants. The lysine and histidine transporter (LHT) subfamily is an important type of AAT. However, a genome-wide overview of the <i>LHT</i> gene family has not been conducted in <i>L. macranthoides</i> Hand.-mazz. In this study, 11 <i>LHT</i> genes were identified in the <i>Lonicera macranthoides</i> genome. To further understand the functions of <i>LmLHT</i> genes, the gene and protein characteristics, transmembrane helices, evolutionary relationships, chromosomal distribution, <i>cis</i>-acting elements of promoters, and expression patterns were systematically analyzed. According to the results, <i>LmLHT</i> genes were divided into two groups based on the phylogenetic analysis. Transmembrane helices of LmLHT proteins ranged from seven to 16. Gene structure and conserved motif analysis revealed that exon-intron structures and motifs were relatively conserved in the LmLHT family. <i>LmLHT</i> genes were distributed on six of the nine chromosomes and had the most collinear gene pairs with <i>NtLHT</i> genes. Additionally, phytohormones, low-temperature, drought-inducibility, defense and stress related <i>cis</i>-acting elements were enriched in the promoters of <i>LmLHT</i> genes. <i>LmLHT</i> genes showed distinct or preferential expression patterns in various tissues, signifying their potential roles in plant growth and development. We also found that some <i>LmLHT</i> genes were responsive to cold and drought stresses, indicating their roles in abiotic stress adaptation. Overall, our results provided comprehensive insight into the <i>LmLHT</i> gene family and will be useful for future functional analyses.</p>","PeriodicalId":12750,"journal":{"name":"Frontiers in Genetics","volume":"16 ","pages":"1614541"},"PeriodicalIF":2.8,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12259443/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144642373","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Frontiers in GeneticsPub Date : 2025-06-27eCollection Date: 2025-01-01DOI: 10.3389/fgene.2025.1576125
Shunzhe Wang, Long Liang, Dilinigeer Ziyayiding, Wenjing Jiao, Hailati Kasimu, Sangang He, Mingjun Liu
{"title":"Inbreeding patterns and genetic diversity under selection in Teha sheep.","authors":"Shunzhe Wang, Long Liang, Dilinigeer Ziyayiding, Wenjing Jiao, Hailati Kasimu, Sangang He, Mingjun Liu","doi":"10.3389/fgene.2025.1576125","DOIUrl":"10.3389/fgene.2025.1576125","url":null,"abstract":"<p><strong>Background: </strong>Inbreeding and genetic diversity are critical factors influencing the adaptability, productivity, and sustainability of livestock populations. Teha sheep, a crossbred line between Texel and Kazakh sheep, are an important meat-producing breed in China, yet their genetic structure and inbreeding status remain underexplored. In this study, we aim to evaluate inbreeding coefficients, genetic diversity, and selection signatures in Teha sheep by integrating pedigree and genomic data.</p><p><strong>Results: </strong>Analysis of pedigree data from 2,652 individuals revealed a low inbreeding coefficient (FPED = 0.001), whereas analysis of genomic data from 1,271 individuals indicated slightly higher inbreeding coefficients, with the FROH averaging 0.044. Genetic diversity metrics, including Ho = 0.347 and PIC = 0.345, confirmed moderate variability within the population. A significant region of runs of homozygosity (ROH) hotspot was identified on chromosome 2 (112.01-119.89 Mb), encompassing genes such as <i>MSTN</i>, <i>TUBGCP5</i>, and <i>NIPA2</i>, which are associated with muscle growth, fat metabolism, and skeletal development. Notably, <i>CYFIP1</i>, <i>SAP130</i>, and <i>UGGT1</i> were identified as key genes shared across ROH hotspots, QTL regions, and LD blocks, implicating their roles in growth efficiency, carcass quality, and protein regulation under stress. These findings reveal critical genomic regions contributing to the breed's productivity and adaptability.</p><p><strong>Conclusion: </strong>In this study, we highlight the low inbreeding levels and moderate genetic diversity of Teha sheep, emphasizing the integration of pedigree and genomic analyses for sustainable breeding programs. The identification of key genes provides a foundation for optimizing productivity and maintaining genetic variability in this important livestock population.</p>","PeriodicalId":12750,"journal":{"name":"Frontiers in Genetics","volume":"16 ","pages":"1576125"},"PeriodicalIF":2.8,"publicationDate":"2025-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12245786/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144626026","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Frontiers in GeneticsPub Date : 2025-06-27eCollection Date: 2025-01-01DOI: 10.3389/fgene.2025.1593444
Juliana Afonso, Woo Jun Shim, Tainã Figueiredo Cardoso, Jennifer Jéssica Bruscadin, Andressa Oliveira de Lima, Wellison Jarles da Silva Diniz, Bárbara Silva-Vignato, Ingrid Soares Garcia, Wei Liang Andre Tan, Priscila Silva Neubern de Oliveira, Aline Silva Mello Cesar, Gerson Barreto Mourão, Adhemar Zerlotini, Luiz Lehmann Coutinho, Marina Rufino Salinas Fortes, Luciana Correia de Almeida Regitano
{"title":"Putative epigenetic regulation mechanisms related to production, carcass and beef quality traits in Nelore cattle.","authors":"Juliana Afonso, Woo Jun Shim, Tainã Figueiredo Cardoso, Jennifer Jéssica Bruscadin, Andressa Oliveira de Lima, Wellison Jarles da Silva Diniz, Bárbara Silva-Vignato, Ingrid Soares Garcia, Wei Liang Andre Tan, Priscila Silva Neubern de Oliveira, Aline Silva Mello Cesar, Gerson Barreto Mourão, Adhemar Zerlotini, Luiz Lehmann Coutinho, Marina Rufino Salinas Fortes, Luciana Correia de Almeida Regitano","doi":"10.3389/fgene.2025.1593444","DOIUrl":"10.3389/fgene.2025.1593444","url":null,"abstract":"<p><strong>Introduction: </strong>Understanding regulatory mechanisms like epigenetics can help improve beef production, carcass, and meat quality. Epigenetic states are dynamic and shaped by the environment, but due to limited studies and costly detection methods, alternative approaches are needed.</p><p><strong>Objective: </strong>Our aim was to identify candidate regulators linked to production, carcass and beef quality traits by describing genes putatively regulated by epigenetic mechanisms in the muscle of Nelore cattle.</p><p><strong>Methods: </strong>We <i>in-silico</i> identified discordantly regulated genes (DRGs) with the TRIAGE method and rank product analysis, using gene expression. We investigated the DRGs for being known bovine transcription factors (TFs) or co-factors (TcoFs) and tested the association of SNPs harbouring the DRGs with the traits. Using public muscle ATAC-Seq and ChIP-Seq data, we found that the associated SNPs were harboured in open chromatin sections of the genome and/or on histone modification regions.</p><p><strong>Results: </strong>We identified 51 DRGs across the traits and provided evidence of their regulatory status. 26 DRGs are known bovine TFs. A SNP upstream of the PITX2 DRG was associated with conjugated linoleic acid (CLA), 35 SNPs within or around the BTNL9 DRG were associated with backfat thickness (BFT) and 13 of the DRGs showed a regulatory impact over at least one trait.</p><p><strong>Discussion: </strong>The correlations identified among DRGs, differentially expressed genes and traits showed intricate relationships with various TFs and TcoFs, revealing the putative relationships of these elements with the traits. The <i>LBX1</i> and <i>HOXC10</i> genes are candidates with evidence to be regulators of the traits, while also being subjected to epigenetic regulation.</p>","PeriodicalId":12750,"journal":{"name":"Frontiers in Genetics","volume":"16 ","pages":"1593444"},"PeriodicalIF":2.8,"publicationDate":"2025-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12245772/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144626027","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Frontiers in GeneticsPub Date : 2025-06-26eCollection Date: 2025-01-01DOI: 10.3389/fgene.2025.1641162
Fuyu Li, Wenxiang Lu, Yunfei Bai
{"title":"HyenaCircle: a HyenaDNA-based pretrained large language model for long eccDNA prediction.","authors":"Fuyu Li, Wenxiang Lu, Yunfei Bai","doi":"10.3389/fgene.2025.1641162","DOIUrl":"10.3389/fgene.2025.1641162","url":null,"abstract":"<p><strong>Introduction: </strong>Extrachromosomal circular DNA (eccDNA) represents a class of circular DNA molecules derived from chromosomes with diverse roles in disease. Long eccDNAs (typically 1-5 kb) pose detection challenges due to their large size, hindering functional studies. We propose HyenaCircle, a novel deep learning model leveraging large language model and third-generation sequencing data to predict long eccDNA formation.</p><p><strong>Methods: </strong>Full-length eccDNAs within 1-5 kb were identified by FLED algorithm for Nanopore sequencing data, extended by 100-bp flanking sequences, and paired with 20,000 length-matched negative controls from eccDNA-depleted genomic regions. HyenaCircle was built by adapting the pretrained HyenaDNA model with a designed classifier head. The strategies of data augmentation, regularization and class imbalance weighting were applied to increase model robustness.</p><p><strong>Results: </strong>HyenaCircle achieved comparable performance with a validation AUROC of 0.715 and recall of 0.776. It surpassed DNABERT by 5.9% in AUROC and demonstrated stable convergence. Hyperparameter optimization confirmed batch size 16 and learning rate 5 × 10<sup>-5</sup> as optimal. The ablation studies revealed flanking sequences are important, as their removal reduced model stability. The model also showed superior stability over the baseline HyenaDNA architecture.</p><p><strong>Conclusion: </strong>HyenaCircle integrated third-generation sequencing data and large language model for long eccDNA prediction, which outperformed the existing model. Our work demonstrates that the HyenaDNA architecture enables effective long-sequence genomic modeling and provides a new insight for eccDNA prediction and identification.</p>","PeriodicalId":12750,"journal":{"name":"Frontiers in Genetics","volume":"16 ","pages":"1641162"},"PeriodicalIF":2.8,"publicationDate":"2025-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12240936/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144608226","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Frontiers in GeneticsPub Date : 2025-06-26eCollection Date: 2025-01-01DOI: 10.3389/fgene.2025.1587616
Mark Yarborough
{"title":"Why too much biomedical research is often undeserving of the public's trust.","authors":"Mark Yarborough","doi":"10.3389/fgene.2025.1587616","DOIUrl":"10.3389/fgene.2025.1587616","url":null,"abstract":"<p><p>This article queries whether the public can be reasonably confident that the biomedical research endeavor repays the public's trust in it with research that routinely deserves that trust. I argue below that a research endeavor that would deserve trust is one that routinely produces research whose published results are dependable, investigates socially important questions, and is conducted ethically. While various inferences can be drawn about terms like \"routinely,\" \"dependable,\" and \"socially important,\" I think they are still informative enough to fruitfully guide the query that follows. The query is shaped by two stipulations that are explicated further below. The first is normative: a collective endeavor that enjoys a broad range of public concessions, such as government funding, favorable public policy like patent law or tailored legal immunities, or widespread support from private philanthropy, all meant to facilitate the endeavor, ought not solicit the public's trust that gives rise to these concessions without being confident that it deserves it. The second is that confidence requires effective and transparent accountability. The query concludes that the public cannot be reasonably confident that the biomedical research endeavor routinely repays the public's trust in it with research that deserves that trust. A final item of note about the query is that it does not directly engage the recent Covid pandemic. The reasons it does not are that there is already ample engagement around that episode on the one hand and, on the other, the items of concern that are addressed in the query long predate that particular pandemic and the controversies it has engendered, many of which will likely persist no matter what eventual reforms might follow from the resolution of Covid-specific controversies.</p>","PeriodicalId":12750,"journal":{"name":"Frontiers in Genetics","volume":"16 ","pages":"1587616"},"PeriodicalIF":2.8,"publicationDate":"2025-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12241054/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144608227","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Frontiers in GeneticsPub Date : 2025-06-25eCollection Date: 2025-01-01DOI: 10.3389/fgene.2025.1534726
Anastassia Kolde, Merli Koitmäe, Meelis Käärik, Märt Möls, Krista Fischer
{"title":"Analysis of follow-up data in large biobank cohorts: a review of methodology.","authors":"Anastassia Kolde, Merli Koitmäe, Meelis Käärik, Märt Möls, Krista Fischer","doi":"10.3389/fgene.2025.1534726","DOIUrl":"10.3389/fgene.2025.1534726","url":null,"abstract":"<p><p>This study focuses on key methodological challenges in genome-wide association studies (GWAS) of biobank data with time-to-event outcomes, analyzed using the Cox proportional hazards (CPH) model. We address four primary issues: left-truncation of the data, computational inefficiency of standard model-fitting algorithms, relatedness among individuals, and model misspecification. To manage left-truncation, the common practice is to use age as the timescale, with individuals entering the risk set at their age of recruitment. We assess how this choice of timescale influences bias and statistical power, under realistic GWAS conditions of varying effect sizes and censoring rates. In addition, to alleviate the computational burden typical in large-scale data, we propose and evaluate a two-step martingale residual (MR) approach for high-dimensional CPH modeling. Our results show that the timescale choice has minimal effect on accuracy for small hazard ratios, though using time since birth as the timescale - ignoring recruitment age - yields the highest power for association detection. We find that relatedness, when ignored, does not substantially bias effect size estimates, while omitting key covariates introduces significant bias. The two-step MR approach proves to be computationally efficient, retaining power for detecting small effect sizes, making it suitable for large-scale association studies. However, when precise effect size estimates are critical, particularly for moderate or larger effect sizes, we recommend recalculating these estimates using the conventional CPH model, with careful attention to left-truncation and relatedness. These conclusions are drawn from simulations and illustrated with data from the Estonian Biobank cohort.</p>","PeriodicalId":12750,"journal":{"name":"Frontiers in Genetics","volume":"16 ","pages":"1534726"},"PeriodicalIF":2.8,"publicationDate":"2025-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12238046/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144600161","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Frontiers in GeneticsPub Date : 2025-06-25eCollection Date: 2025-01-01DOI: 10.3389/fgene.2025.1641043
Derek P H Lee, Ye Cao, Lilei Zhang
{"title":"Correction: Genetic landscape of hypertrophic cardiomyopathy in Hong Kong Chinese population.","authors":"Derek P H Lee, Ye Cao, Lilei Zhang","doi":"10.3389/fgene.2025.1641043","DOIUrl":"https://doi.org/10.3389/fgene.2025.1641043","url":null,"abstract":"<p><p>[This corrects the article DOI: 10.3389/fgene.2025.1583838.].</p>","PeriodicalId":12750,"journal":{"name":"Frontiers in Genetics","volume":"16 ","pages":"1641043"},"PeriodicalIF":2.8,"publicationDate":"2025-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12238754/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144600164","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}