Functional & Integrative Genomics最新文献

{"title":"LRRC8A/PKC/FLNA pathway activation is detrimental to colon cancer patients.","authors":"Rong Liu, Lijuan Zhao, Shiyu Cui, Masoud Pouranfard, Zhenghui Jing, Yuhua Ren, Wenbao Zhao, Dangxia Zhou, Haifeng Zhang","doi":"10.1007/s10142-025-01650-w","DOIUrl":"https://doi.org/10.1007/s10142-025-01650-w","url":null,"abstract":"<p><p>The volume-regulated anion channel (VRAC) is implicated in remodeling the cytoskeleton. Leucine-rich repeat-containing 8A (LRRC8A) serves as a critical constituent of VRAC; however, its interaction with the scaffolding protein FLNA has not yet been clearly defined. This study demonstrated that the expression levels of the FLNA protein in colon cancer tissues exceeded those in the corresponding adjacent non-cancerous tissues, and its elevated mRNA expression was associated with an unfavorable prognosis in colon cancer patients. Transcriptomic analysis indicated that FLNA silencing altered the expression of 838 genes in HCT116 cells, primarily related to cellular motility and growth. Upon silencing FLNA in HCT116 and SW480 cells, cell migration and proliferation were markedly diminished, the cell cycle experienced a G2/M phase arrest, and apoptosis rates significantly increased. The Pearson correlation coefficient for genetic distances between FLNA and LRRC8A across various species was calculated at 0.912. At the transcription level, the correlation coefficient between LRRC8A and FLNA was determined to be 0.547, with colon cancer patients exhibiting elevated levels of both FLNA and LRRC8A mRNA showing the most adverse outcomes. Immunofluorescence analysis revealed a high Pearson's co-localization coefficient between PKC and FLNA proteins. Treatment of HCT116 cells with 20 μM DCPIB resulted in the reorganization and dispersion of aggregated FLNA proteins, coinciding with a notable reduction in the concentrations of DAG and PKC. In summary, LRRC8A modulates FLNA to influence cellular growth and migration through the DAG-PKC signaling pathway, and their combination could signify a prospective biomarker for colon cancer.</p>","PeriodicalId":574,"journal":{"name":"Functional & Integrative Genomics","volume":"25 1","pages":"138"},"PeriodicalIF":3.9,"publicationDate":"2025-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144504422","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Thermotolerance for yield and quality in rice: a novel NF-Ys-QT12 gene system.","authors":"Muhammad Abu Bakar Waqas","doi":"10.1007/s10142-025-01655-5","DOIUrl":"10.1007/s10142-025-01655-5","url":null,"abstract":"<p><p>With the increase in global temperatures, heat stress damaged the yield as well as grain quality of many cereal crops. Enhancing high temperature resistance in cereals have been remained a long sought objective. Li et al. recently published their breakthrough work in cell journal which identified a first grain yield quality thermotolerance negative regulating gene QT12 in rice. Targeting this locus either thorough genome editing or introgression of its natural variant by breeding lowers its expression and preserves both yield and quality, when temperature rises. It breaks the crop breeding bottleneck of yield-quality trade-off effect. The impact of this gene may be even broader than rice in introducing thermotolerance in other cereals which are facing the similar problems. Study provides powerful resource for thermostable cereals breeding and sustainable agriculture.</p>","PeriodicalId":574,"journal":{"name":"Functional & Integrative Genomics","volume":"25 1","pages":"137"},"PeriodicalIF":3.9,"publicationDate":"2025-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144504423","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploring the m⁵C epitranscriptome of mRNAs in breast cancer cells through genome engineering and long-read sequencing approaches.","authors":"Konstantina Athanasopoulou, Panagiotis G Adamopoulos, Panagiotis Tsiakanikas, Andreas Scorilas","doi":"10.1007/s10142-025-01648-4","DOIUrl":"10.1007/s10142-025-01648-4","url":null,"abstract":"<p><p>Epitranscriptomics has emerged as a rapidly evolving field that focused on studying post-transcriptional RNA modifications and their role in spatiotemporal regulation of gene expression. N6-methyladenosine (m⁶A) and 5-methylcytosine (m⁵C) represent the most extensively studied modifications on mRNAs. These reversible modifications, mediated by 'writer,' 'eraser,' and 'reader' proteins, dynamically fine-tune mRNA stability, splicing, and translation. Growing evidence links their dysregulation to pathological states, including cancer progression and metastasis, where their aberrant deposition on oncogenes or tumor suppressors alters cellular signaling and therapeutic responses. In the current study, we present a detailed analysis of the m⁵C epitranscriptomic landscape across distinct breast cancer molecular subtypes. Using CRISPR/Cas9, we confirm NSUN2 as a key m⁵C writer in human mRNAs. NSUN2 loss was validated by targeted sequencing and Western blotting. Furthermore, we demonstrate the regulatory effects of NSUN2 on its canonical mRNA targets, revealing its critical role in maintaining proper gene expression networks. Our findings strongly suggest that additional m⁵C writers contribute to m⁵C methylation machinery. Additionally, we assessed the functional impact of NSUN2 depletion on mRNAs harboring m⁵C sites using mRNA stability assays. Furthermore, our analysis revealed distinct m⁵C methylation patterns among breast cancer subtypes, highlighting unique m⁵C signatures associated with the disease. Notably, we identified specific hypomethylated and hypermethylated m⁵C sites in each breast cancer cell line, representing a universal m⁵C methylation signature for breast cancer. Our study constitutes the first comprehensive m⁵C epitranscriptomic atlas in human breast cancer and paves the way for future research aimed at developing targeted therapeutic interventions that leverage the m⁵C methylation landscape.</p>","PeriodicalId":574,"journal":{"name":"Functional & Integrative Genomics","volume":"25 1","pages":"136"},"PeriodicalIF":3.9,"publicationDate":"2025-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12187793/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144482776","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Breaking the palatability trade-off: idealizing resistant starch in rice.","authors":"Tilak Chandra, Sarika Jaiswal, Mir Asif Iquebal, Dinesh Kumar","doi":"10.1007/s10142-025-01643-9","DOIUrl":"10.1007/s10142-025-01643-9","url":null,"abstract":"<p><p>A recent study by Sang et al. successfully demonstrated the simultaneous editing of SBEIIb to develop rice germplasm with an enhanced resistant starch composition, without compromising palatability. This research reveals the unique advantages of promoter engineering in optimizing resistant starch content while preserving palatability achieved through precise modulation of starch biosynthetic and regulatory enzymes, outperforming conventional gene editing approaches. Such findings pave the way for developing elite genotypes with the potential to reduce the societal burden of chronic diseases and satiety management.</p>","PeriodicalId":574,"journal":{"name":"Functional & Integrative Genomics","volume":"25 1","pages":"135"},"PeriodicalIF":3.9,"publicationDate":"2025-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144473637","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Integrated multi-omics analysis of UL16-binding protein 2 as a prognostic and immunotherapy biomarker for colorectal cancer.","authors":"Xin-Yang Qu, Yong Xu, Rui-Min Wu, Gao-Chun Xiao, Ping-Feng Wang, Jin Xie, Xu-Sheng Liu","doi":"10.1007/s10142-025-01646-6","DOIUrl":"10.1007/s10142-025-01646-6","url":null,"abstract":"<p><strong>Background: </strong>UL16-binding protein 2 (ULBP2) is an important immune regulatory molecule involved in natural killer cell activation and tumor immune surveillance, although the specific role and clinical significance in colorectal cancer (CRC) require further exploration.</p><p><strong>Methods: </strong>ULBP2 expression in CRC vs. normal tissues was analyzed using The Cancer Genome Atlas and the Gene Expression Omnibus databases, along with potential associations with clinicopathological features, while the diagnostic value was assessed with receiver operating characteristic (ROC) curves and the prognostic impact by Kaplan-Meier and Cox regression analyses. Additionally, the regulatory mechanisms of ULBP2 were explored by investigations of promoter DNA methylation, m6A regulation, and immune cell infiltration. Finally, cellular experiments were conducted to evaluate ULBP2 as a potential biomarker to predict CRC progression.</p><p><strong>Results: </strong>ULBP2 upregulation was significantly correlated with an advanced pathological stage of CRC. ROC curve analysis indicated that ULBP2 has strong diagnostic value. Kaplan-Meier survival analysis showed that high ULBP2 expression was predictive of a poorer prognosis. Cox regression analysis highlighted ULBP2 as an independent prognostic factor. ULBP2 expression was linked to promoter methylation, m6A regulation, and immune cell infiltration. Cellular experiments showed that ULBP2 knockdown suppressed CRC progression.</p><p><strong>Conclusion: </strong>ULBP2 has potential as a prognostic biomarker and therapeutic target of CRC. These findings provide valuable insights for future studies of tumorigenic mechanisms and clinical applications.</p>","PeriodicalId":574,"journal":{"name":"Functional & Integrative Genomics","volume":"25 1","pages":"134"},"PeriodicalIF":3.9,"publicationDate":"2025-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144367787","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comprehensive multi-omics analysis of nucleotide metabolism: elucidating the role and prognostic significance of UCK2 in bladder cancer.","authors":"Yadong Guo, Ziyou Lin, Wentao Zhang, Haotian Chen, Yuxin Chen, Yongqiang Liu, Zezhi Shan, Shiyu Mao, Xudong Yao","doi":"10.1007/s10142-025-01642-w","DOIUrl":"10.1007/s10142-025-01642-w","url":null,"abstract":"<p><p>Nucleotide metabolism reprogramming is a hallmark of cancer, yet its systematic investigation remains limited. Here, we performed a comprehensive multi-omics analysis of key nucleotide metabolism genes across various cancer types using TCGA, GTEx, and other public datasets. Uridine-cytidine kinase 2 (UCK2), a key enzyme in the pyrimidine salvage pathway, was identified as consistently upregulated and genomically amplified, particularly in bladder cancer (BLCA). High UCK2 expression in BLCA correlated with poor prognosis, advanced tumor stage, high-grade histology, and strong diagnostic performance (AUC = 0.932). Single-cell and spatial transcriptomic analyses revealed that UCK2 is predominantly expressed in malignant and stromal cells. Functional enrichment analysis linked UCK2 to cell cycle progression, DNA repair, tumor invasion, and immune modulation. UCK2 expression was associated with immune cell recruitment and activation, as well as the expression of immune-related factors, including antigen presentation molecules and immune checkpoints. Higher UCK2 expression also showed a strong correlation with immunotherapy response in anti-PD-L1-treated cohorts. Drug sensitivity profiling indicated that UCK2 expression correlates with increased sensitivity to chemotherapeutic agents, such as cisplatin, docetaxel, and gemcitabine. In vitro, CRISPR-Cas9-mediated knockdown of UCK2 significantly inhibited BLCA cell proliferation, migration, and clonogenicity, while suppressing activation of the PI3K/AKT/mTOR signaling pathway. Collectively, our findings identify UCK2 as a key regulator of tumor progression, metabolic remodeling, and immune interaction in BLCA, highlighting its potential as a diagnostic biomarker and therapeutic target.</p>","PeriodicalId":574,"journal":{"name":"Functional & Integrative Genomics","volume":"25 1","pages":"133"},"PeriodicalIF":3.9,"publicationDate":"2025-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144336185","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"WISP2/CCN5 revealed as a potential diagnostic biomarker for endometriosis based on machine learning and single-cell transcriptomic analysis.","authors":"Sheng Dou, Shaohua Ling, Weihua Nong, Bixiao Wei, Yuehua Huang, Guangjing Li, Rong Wang, Haimei Qin","doi":"10.1007/s10142-025-01631-z","DOIUrl":"https://doi.org/10.1007/s10142-025-01631-z","url":null,"abstract":"<p><strong>Objective: </strong>Endometriosis is a prevalent gynecological disease characterized by the ectopic growth of functional endometrial tissue outside the uterine cavity, affecting millions of women worldwide. Currently, the definitive diagnosis relies on invasive laparoscopy (the gold standard), with an average diagnostic delay of 7-10 years from symptom onset. Non-invasive biomarkers from blood or endometrial samples could enable early screening and reduce diagnostic time. Emerging technologies like single-cell sequencing and transcriptomics offer promising approaches for identifying highly specific biomarkers, advancing endometriosis research into the precision medicine era.</p><p><strong>Materials and methods: </strong>Using three machine learning algorithms, we selected four hub genes, among which WISP2/CCN5 was validated as a potential diagnostic biomarker. We discovered higher-than-normal gene expression of WISP2/CCN5 in the eutopic endometrium, and substantially higher expression in the ectopic endometrium compared with that in the eutopic endometrium.</p><p><strong>Results: </strong>Finally, through cell communication analysis, we found that elevated WISP2/CCN5 expression in stem cells within ectopic lesions may be mediated by the mitogen-activated protein kinase and Wnt signaling pathways, acting downstream of the fibroblast growth factor pathway.</p><p><strong>Conclusions: </strong>The transition of endometrial tissue from normal to eutopic, and ultimately to ectopic, was found to coincide with progressively increased expression of WISP2/CCN5, which may serve as a biomarker of endometriosis.</p>","PeriodicalId":574,"journal":{"name":"Functional & Integrative Genomics","volume":"25 1","pages":"131"},"PeriodicalIF":3.9,"publicationDate":"2025-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144324098","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multi-omics approaches: transforming the landscape of natural product isolation.","authors":"Soumitra Sahana, Jyotirmay Sarkar, Sourav Mandal, Indranil Chatterjee, Susmita Dhar, Samaresh Datta, Sumanta Mondal","doi":"10.1007/s10142-025-01645-7","DOIUrl":"10.1007/s10142-025-01645-7","url":null,"abstract":"<p><p>The field of natural product (NPs) discovery has significantly evolved with the advent of multi-omics approaches, encompassing genomics, transcriptomics, proteomics, and metabolomics. This review highlighting targeted isolation strategies and the comprehensive applications of omics in investigating natural products. Omics technologies, including genomics, transcriptomics, proteomics, and metabolomics, have emerged as powerful tools that revolutionize the traditional methods of natural product discovery. This review delves into the integration of multi-omics technology in the isolation and discovery of natural product. Omics applications in natural product investigation have revolutionized the field by enabling high-throughput screening, rapid identification of novel compounds, and understanding the complex interactions within biological systems. For instance, metabolomics gives insights into the metabolic profiles of organisms under different conditions, aiding in the discovery of unique NPs with potential therapeutic applications. Genomics has facilitated the mining of microbial genomes for biosynthetic gene clusters, leading to the discovery of new antibiotics and carcinopreventive agents. Transcriptomics and proteomics provide insights into gene expression and protein synthesis, revealing the dynamics of NPs biosynthesis under various conditions. Despite these limitations, the future prospects of multi-omics in natural product discovery are promising. Advances in omics technologies, coupled with machine learning and artificial intelligence, are expected to enhance data integration and predictive modeling, accelerating the discovery and development of innovative drugs. Furthermore, the continuous improvement in analytical techniques and the establishment of comprehensive databases will facilitate the identification and characterization of NPs, ultimately contributing to the development of new therapeutic agents. Collaborative efforts across disciplines and the integration of environmental and ecological data will further enhance our understanding of NP biosynthesis and lead to more effective and sustainable drug discovery strategies.</p>","PeriodicalId":574,"journal":{"name":"Functional & Integrative Genomics","volume":"25 1","pages":"132"},"PeriodicalIF":3.9,"publicationDate":"2025-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144332234","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Genome-wide analysis of AHP genes in soybean and the role of GmAHP10 in improving salt stress tolerance.","authors":"Lingfang Cao, Jinlong Cao, Li Wang, Jianjun Wang, Zhijun Che","doi":"10.1007/s10142-025-01636-8","DOIUrl":"https://doi.org/10.1007/s10142-025-01636-8","url":null,"abstract":"<p><p>The histidine phosphotransfer proteins (AHP) plays a pivotal role in the cytokinin signal transduction pathway, which is vital for plant growth, development, and resistance to biotic and abiotic stresses. Despite its importance, the AHP genes in soybean (Glycine max (L.) Merr.) have not been characterized until now. In this study, we utilized bioinformatics analysis, transcriptome sequencing, and qRT-PCR to explore the AHP gene family in soybean. We identified 17 AHP gene members unevenly distributed across nine chromosomes, with all AHP proteins classified into four types based on their motifs and gene structures. Phylogenetic analysis and conserved protein motifs revealed strong homology and conservation between soybean and Arabidopsis AHP family members. Collinearity analysis suggested that segmental duplication events were the primary mechanism for the expansion of the soybean AHP family. Tissue-specific expression analysis indicated that most AHP family genes were highly expressed in soybean roots. Transcript profiles and qRT-PCR data demonstrated that many GmAHP genes were significantly up-regulated in response to salt stress, particularly GmAHP10. Overexpression of GmAHP10 in soybean hairy roots significantly promoted root system development and enhanced salt tolerance. Further physiological analyses revealed that overexpression of GmAHP10 significantly reduced H₂O₂ and malondialdehyde (MDA) levels by increasing the activities of superoxide dismutase (SOD), peroxidase (POD), and catalase (CAT), as well as elevating proline concentration compared to controls. These findings provide a foundation for understanding the biological roles of GmAHP genes in soybean growth, development, and response to salt stress.</p>","PeriodicalId":574,"journal":{"name":"Functional & Integrative Genomics","volume":"25 1","pages":"130"},"PeriodicalIF":3.9,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144324097","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Genome-wide identification and functional analysis of TCX gene family and the critical role of GhTCX17 in response to drought and salt stress in cotton.","authors":"Yangyang Wei, Jingjing Zhai, Shuaikang Geng, Shaoliang Zhang, Yongqing Zhao, Bingkai Cui, Huiyun Shan, Yanhua Li, Cong Wang, Pengtao Li, Yuling Liu, Quanwei Lu, Baohong Zhang, Renhai Peng","doi":"10.1007/s10142-025-01632-y","DOIUrl":"https://doi.org/10.1007/s10142-025-01632-y","url":null,"abstract":"<p><p>Cotton is an important natural fiber crop. The Tesmin/TSO1-like CXC (TCX) gene family plays an important role in plant resistance to environmental stress, and its mechanism is still not clear in cotton. In this study, we systematically identified the potential functions of TCX family genes in cotton were investigated based on genome identification, phylogenetic and genomic analyses, chromosome mapping and cis-regulatory element prediction. A total of 79 TCX genes were identified in the genome-wide analysis of four cotton species. Chromosomal localization and synteny analysis revealed that the TCX gene family was relatively conservative and fragment replication was the main amplification mode of TCX gene family during cotton evolution. Cis-element analysis showed that there were a plenty of elements related to light response, hormone response and abiotic stress response in the TCX gene promoter. Gene expression analysis based on RNA-seq and qRT-PCR showed that TCX genes were responsive to abiotic stress. The key gene GhTCX17 was cloned for functional verification. GhTCX17 protein was localized in the nucleus. Under drought and salt stress, silencing GhTCX17 gene plants showed leaf wilting aggravation, decreased total antioxidant capacity, increased malondialdehyde content compared with control plants, implied the reducing drought and salt tolerance of silencing GhTCX17 gene in cotton. This study revealed the evolution and function diversity of the TCX gene family and laid an important foundation for further study to dissect TCX gene family functioning mechanisms on cotton stress resistance.</p>","PeriodicalId":574,"journal":{"name":"Functional & Integrative Genomics","volume":"25 1","pages":"129"},"PeriodicalIF":3.9,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144300907","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}