遗传最新文献

{"title":"Expert consensus on clinical genome sequencing interpretation and reporting.","authors":"Yulan Lu, Guozhuang Li, Yaqiong Wang, Kexin Xu, Xinran Dong, Jihao Cai, Bingbing Wu, Huijun Wang, Ping Fang, Jian Wang, Hua Wang, Luming Sun, Yongyu Ye, Qing Li, Yaping Liu, Li Liu, Ning Liu, Jiaqi Liu, Fang Song, Lin Yang, Zhengqing Qiu, Zefu Chen, Huaxia Luo, Dan Guo, Chanjuan Hao, Sen Zhao, Shangzhi Huang, Jing Peng, Xiaoqiang Cai, Ruifang Sui, Linkang Li, Nan Wu, Wenhao Zhou, Shuyang Zhang","doi":"10.16288/j.yczz.24-296","DOIUrl":"https://doi.org/10.16288/j.yczz.24-296","url":null,"abstract":"<p><p>Genome sequencing (GS) refers to a technology that comprehensively and systematically detects the DNA sequences of an individual's nuclear and mitochondrial genomes. It aims to identify genetic variants and investigate their roles in human health and disease progression. As an emerging diagnostic tool, GS offers significant support for clinical diagnosis due to its high throughput, accuracy, and comprehensiveness. However, the complexity of data analysis and interpretation requires substantial professional expertise and experience, posing considerable challenges. When applying GS technology for molecular diagnosis of genetic diseases, ethical and technical issues related to clinical application arise, including informed consent, diagnostic data interpretation, and defining the scope and content of clinical reports. This expert consensus outlines the core workflow of clinical genome sequencing (cGS), clarifies its testing scope and technical limitations, and provides key steps for data quality control, analysis, annotation, and variant interpretation. It also addresses controversial issues related to report content and informed consent. This consensus aims to assist professionals in accurately understanding and appropriately utilizing clinical genome sequencing, thereby improving diagnostic accuracy for genetic diseases, enhancing the clinical utility of the technology, and advancing medical scientific research.</p>","PeriodicalId":35536,"journal":{"name":"遗传","volume":"47 3","pages":"314-328"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143606517","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":"Interpretation of <i>de novo</i> mutations (DNM) and genetic counseling for sporadic hearing loss based on family trio-based sequencing.","authors":"Jing Guan, XiaonanWu, Jin Li, Guohui Chen, Hongyang Wang, Qiuju Wang","doi":"10.16288/j.yczz.24-228","DOIUrl":"https://doi.org/10.16288/j.yczz.24-228","url":null,"abstract":"<p><p><i>De novo</i> mutations (DNMs) are significant genetic factors contributing to sporadic hearing loss (HL) and complex HL syndromes. To analyze the genetic counseling characteristics and interpretation of pathogenic DNMs for sporadic HL, we retrospectively analyze the clinical information of probands and their parents from 410 sporadic HL core pedigrees enrolled in the \"Chinese Deafness Genome Project (CDGP)\" between October 2015 and October 2023. We apply family trio-based genome sequencing (targeted gene capture and high throughput sequencing, mitochondrial genome sequencing, and copy number variants analysis) and validate the samples of their unaffected-parents. Homologous allele sequencing is used to identity by descent (IBD) in the DNM family trios. The results reveal that 7.3% (30 cases) of the probands in these sporadic hearing loss core pedigrees carry 17 types of autosomal dominant gene <i>de novo</i> single nucleotide variants (SNVs), insertions/deletions (Indels), and one type of <i>de novo</i> copy number variation, encompassing all types of DNM. Among them, <i>WFS1</i> c.2051C>T, <i>ATP1A3</i> c.2452G>A, and <i>ACTG1</i> c.94C>T are common DNM in sporadic HL. The genotype C>T transversion exhibit a high number (34.6%). Clinical feature analyses also show that 56.7% (17/30) of the probands have non-syndromic HL, but more than half of them (52.9%, 9/17) carry pathogenic genotypes clearly associated with \"syndromic HL\", possibly exhibiting temporary \"mimic\" non-syndromic HL phenotypic characteristics. The average parental ages at childbirth for the 30 probands are 29.4 years for fathers and 28.3 years for mothers, with 13.3% of fathers or mothers aged ≥35 years. Additionally, among the family structure of the proband of genetic counseling, 63.3% are single-child families with a clear desire for another child, and 16.7% of the probands' parents seek prenatal genetic counseling for conceiving a \"second child\". During genetic counseling, it is essential to test the \"family proband-parents' trios\" core pedigree as a unit to analyze the genetic contribution of DNMs to HL. Furthermore, there is a certain correlation between the occurrence of DNMs and increasing parental age at childbirth. Therefore, for families with a history of DNM-associated sporadic HL, it is necessary to collect clinical information such as the parental age at childbirth and obstetric history of hearing-healthy parents. For these families planning another child, it is recommended to undergo prenatal diagnosis for the identified DNM pathogenic variations after conception and pay attention to the pregnancy outcome.</p>","PeriodicalId":35536,"journal":{"name":"遗传","volume":"47 3","pages":"329-341"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143606548","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":"Wheat wide hybridization and chromosome engineering breeding in China.","authors":"Qi Zheng, Li Zhao, Bin Li, Hongwei Li, Wanquan Ji, Xueyong Zhang","doi":"10.16288/j.yczz.24-334","DOIUrl":"https://doi.org/10.16288/j.yczz.24-334","url":null,"abstract":"<p><p>As the second important staple crop next to rice in China, common wheat (<i>Triticum aestivum</i>) plays a decisive role in national food security. Wild and semi-wild relatives of wheat provide abundant genetic resources for wheat genetic improvement. In China, wheat wide hybridization and chromosome engineering breeding initiated in the 1950s and developed into a well-defined theoretical and technical system over the next three decades through learning, exploration and practice. Subsequently, the technological innovation in alien chromatin identification and the isolation and analysis of alien resistance genes sponsored by continuous national projects have significantly enhanced China's impact on the world in this field. Eminent scientists such as Professor Li Zhensheng, who was awarded the Medal of the Republic before the National Day in 2024, have made outstanding contributions to the establishment and development of the research in this area in China. This article reviews the history of wheat wide hybridization and chromosome engineering breeding in China, aiming to honor the senior scientists and inspire future researchers to work hard in germplasm innovation and alien gene transfer, cloning and utilization in breeding.</p>","PeriodicalId":35536,"journal":{"name":"遗传","volume":"47 3","pages":"289-299"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143606562","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":"Molecular mechanism of Mfn2 alleviating endoplasmic reticulum stress and inhibiting apoptosis of sheep follicular granulosa cells.","authors":"Gulimire Abudureyimu, Ying Chen, Shuhong Tang, Hong Dong, Liqin Wang, Yangsheng Wu, Juncheng Huang, Jiapeng Lin","doi":"10.16288/j.yczz.24-247","DOIUrl":"https://doi.org/10.16288/j.yczz.24-247","url":null,"abstract":"<p><p>Follicle development is a crucial step in mammalian reproductive processes, the specific role of Mfn2 in regulating mitochondrial function and endoplasmic reticulum stress in this process is still unclear, this study aimed to investigate the role of Mfn2 in the follicular development of adult sheep. Large, medium, and small follicles were collected, and granulosa cells (GCs) were isolated from large follicles. The expression levels of Mfn2 in different follicles were detected using qRT-PCR and Western blot, and the localization of Mfn2 in follicles was determined through immunofluorescence. Additionally, the expression levels of the mitochondrial autophagy-related protein Pink1, endoplasmic reticulum stress proteins (Grp78, Perk, Chop), and apoptosis-related proteins (Bcl2 and BAX) were detected. Furthermore, siRNAs were transfected into GCs to knock down Mfn2 expression, and changes in intracellular Ca²⁺ accumulation and mitochondrial membrane potential were evaluated, along with the expression levels of the aforementioned proteins. The results showed that Mfn2 expression was significantly higher in large follicles compared to small follicles and was primarily localized in GCs. Compared to small follicles, the expression levels of Pink1, Grp78, Perk, Chop, and BAX were significantly lower in large follicles, while Bcl2 expression was significantly increased (<i>P</i><0.01). After Mfn2 knockdown, intracellular Ca²⁺ levels and mitochondrial membrane potential were significantly reduced, while the expression levels of Pink1, Grp78, Perk, Chop, and BAX were significantly increased, and Bcl2 expression was significantly decreased (<i>P</i><0.01). Mfn2 may influence cell apoptosis during sheep follicular development by regulating mitochondrial function and endoplasmic reticulum stress.</p>","PeriodicalId":35536,"journal":{"name":"遗传","volume":"47 3","pages":"342-350"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143606555","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":"Enhancing single-cell classification accuracy using image conversion and deep learning.","authors":"Bingxi Gao, Huaxuan Wu, Zhiqiang Du","doi":"10.16288/j.yczz.24-213","DOIUrl":"https://doi.org/10.16288/j.yczz.24-213","url":null,"abstract":"<p><p>Single-cell transcriptome sequencing (scRNA-seq) is widely used in the fields of animal and plant developmental biology and important trait analysis by obtaining single-cell transcript abundance data in high throughput, which can deeply reveal cell types, subtype composition, specific gene markers and functional differences. However, scRNA-seq data are often accompanied by problems such as high noise, high dimensionality and batch effect, resulting in a large number of low-expressed genes and variants, which seriously affect the accuracy and reliability of data analysis. This not only increases the complexity of data processing, but also limits the effectiveness of feature selection and downstream analysis. Although several statistical inference and machine learning methods have been used to address these challenges, the existing methods still have limitations in cell type identification, feature selection, and batch effect correction, which are difficult to meet the needs of complex biological research. In this study, we proposes an innovative single-cell classification method, scIC (single-cell image classification), which converts scRNA-seq data into image form and combines it with deep learning techniques for cell classification. Through this image conversion, we are able to capture complex patterns in the data more efficiently, and then construct efficient classification models using convolutional neural networks (CNN) and residual networks (ResNet). After testing scRNA-seq data from four cell types (mouse skin basal cells, mouse lymphocytes, human neuronal cells, and mouse spinal cord cells), the accuracy of the classification models exceeded 94%, with the mouse skin basal cell dataset achieving a classification accuracy of 99.8% when using the ResNet50 model. These results indicate that image transformation of scRNA-seq data and combining it with deep learning techniques can significantly improve the classification accuracy, providing new ideas and effective tools for solving key challenges in single-cell data analysis. The code for this study is publicly available at: https://github.com/Bingxi-Gao/SCImageClassify.</p>","PeriodicalId":35536,"journal":{"name":"遗传","volume":"47 3","pages":"382-392"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143606515","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":"Thinking and practices of new methods for breeding wheat with improved nutrient use efficiency.","authors":"Yiping Tong, Wan Teng, Hongqing Ling, Aimin Zhang","doi":"10.16288/j.yczz.25-006","DOIUrl":"https://doi.org/10.16288/j.yczz.25-006","url":null,"abstract":"<p><p>In the early 1990s, based on China's basic national conditions, Li Zhensheng put forward the concept of sustainable agricultural development that took the path of resource-conserving and high-yield agriculture. He carried out breeding explorations on the efficient use of mineral nutrients by crops and pioneered a new direction for wheat breeding with the goals of \"less input, more output, environmental protection, and sustainable development\", mainly focusing on improving the absorption and utilization efficiency of phosphorus and nitrogen. He has led and greatly promoted \"the Second Green Revolution\" in China's agriculture. In September 2024, Academician Li Zhensheng was awarded the \"Medal of the Republic\". This review summarizes Academician Li Zhensheng's strategic considerations in advocating the new direction of breeding and how he arranged to conduct research on the physiological and genetic basis of phosphorus efficient use in wheat. By doing so, we pay tribute to the outstanding work done by Academician Li Zhensheng in the research field of nutrient-efficient use by crops, and it is expected to further demonstrate Li Zhensheng's academic approaches and spirit so as to provide references for those who come after him.</p>","PeriodicalId":35536,"journal":{"name":"遗传","volume":"47 3","pages":"300-307"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143606559","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":"Differential transcriptome profiling of <i>Bartonella</i> spp. influenced by the species divergence factors.","authors":"Min Chen, Na Han, Yu Miao, Yujun Qiang, Wen Zhang, Pengbo Liu, Qiyong Liu, Dongmei Li","doi":"10.16288/j.yczz.24-201","DOIUrl":"https://doi.org/10.16288/j.yczz.24-201","url":null,"abstract":"<p><p>To reveal the differences in transcript levels of <i>Bartonella</i> spp. from different species and hosts and their impacts on phylogenetic relationships, we focus on 27 strains from four <i>Bartonella</i> species (<i>B. henselae</i>, <i>B. koehlerae</i>, <i>B. clarridgeiae</i> and <i>B. quintana</i>) and three hosts (<i>Felis catus</i>, <i>Homo sapiens</i> and <i>Macaca mulatta</i>) to conduct the transcriptome sequencing using Illumina high-throughput sequencing technology. Gene expression differences between strains from different species and hosts are analyzed, and the results of phylogenetic analysis at the transcriptome and genome levels are compared. The results show significant differences in gene transcription between strains from different species and hosts. Twelve genes are screened, including <i>virB10</i>, <i>bepC</i> and <i>virB4</i>, which may facilitate host-specific recognition. Furthermore, phylogenetic analysis based on SNPs within the core genes of the transcriptome demonstrate species-specific clustering patterns among strains. Further analysis indicate that host factors influence the genetic divergence of strains, while geographic factors exert a small impact on this process. These findings are congruent with the phylogenetic analysis of SNPs in the core genes of the genome. Our study uses differential transcriptome analysis to reveal the genetic divergence and phylogenetic relationships of <i>Bartonella</i> species. And the observed regular differences between strains from different species and hosts are found to correspond with the results of traditional genome analysis. Thus, our results indicate the utility of transcriptome data in efficiently investigating the genetic divergence between species.</p>","PeriodicalId":35536,"journal":{"name":"遗传","volume":"47 3","pages":"366-381"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143606514","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":"Mining and analysis of key genes related to rice seed longevity in NJ9108 based on transcriptomics.","authors":"Chaofei Han, Ling Chen, Yuanxiu Wang, Qian Cheng, Sheng Zuo, Huabin Liu, Chengliang Wang","doi":"10.16288/j.yczz.24-243","DOIUrl":"https://doi.org/10.16288/j.yczz.24-243","url":null,"abstract":"<p><p>Seed longevity is the period over which seeds remain viable and capable of gemination, and is an important trait of seed quality. Longevity changes in seed directly affect the germination rate, seedling morphology, and storage time. Therefore, the identification of seed longevity genes has significant value for cultivating seeds that are storage-resistant and have long lifespan. The study found that NJ9108 seeds are a type of rice that is resistant to aging; Using transcriptomic technology, the annotated genes were subjected to mfuzz fuzzy clustering and divided into 6 subtypes, with a total of 8,384 genes upregulated/downregulated by aging induction. These differentially expressed genes are enriched into biological processes (BP), cellular components (CC), and molecular functions (MF), with 42 genes enriched in phenylpropanoid biosynthesis, 31 genes enriched in sugar signaling, and 42 genes enriched in plant hormone signaling pathways. They are the most important pathways involved in the aging resistance process of NJ9108. qRT-PCR results showed that compared with <i>ZH11</i>, <i>4CL5</i>, <i>CAD5</i>, <i>PRX3</i> and <i>PRX86</i> in the phenylpropanoid biosynthesis pathway were significantly upregulated in NJ9108 after aging; <i>BGLU18</i>, <i>BGLU22</i> and <i>TPP3</i> in the sugar signaling pathway were significantly upregulated in NJ9108; <i>RR12</i> and <i>SAPK5</i> involved in the plant hormone signaling pathway were significantly upregulated after aging, while <i>IAA12</i> and <i>IAA20</i> were significantly downregulated in NJ9108 seeds. The expression trends of these genes are consistent with transcriptomic results, suggesting that these genes regulating rice seed longevity. <i>BGLU18</i>, <i>BGLU22</i>, <i>OsRR12</i>, and <i>TPP3</i>, as the new identified seed longevity genes, can be further studied in the future. Above all, the experimental results provide a theoretical basis for understanding the regulatory network of rice seed longevity and for breeding rice varieties that are resistant to aging.</p>","PeriodicalId":35536,"journal":{"name":"遗传","volume":"47 3","pages":"351-365"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143606552","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":"A new era of evolutionary analysis based on a personal computer: the future of multifunctional software such as eGPS.","authors":"Da-Lang Yu, Jia-Ning Yang, Jian-Wei Zhang, Wan-Yu Zhang, Hai-Peng Li","doi":"10.16288/j.yczz.24-254","DOIUrl":"https://doi.org/10.16288/j.yczz.24-254","url":null,"abstract":"<p><p>The large-scale data generated by various omics technologies pose significant scientific challenges about how to rapidly and accurately analyze these data. It is essential to develop convenient tools that allow users to efficiently and precisely handle massive biological data. Based on new theories and mathematical models, as well as software engineering, this field is becoming an important research direction in bioinformatics and computational biology. In this review, we briefly review the development history of bioinformatics-related software. We also summarize the recent progress, focus on their application on evolutionary biology, and discuss three major ways of computer running mode and three paradigms of software programming. We also introduce the eGPS, a self-developed multi-functional evolutionary and omics analysis software platform, including the application of eGPS along with Conda and R for data analysis on individual genes, pathways, or genomes. We then propose new ideas for software development, use, and maintenance tailored to different users with varying scientific objectives. It posits that using a personal computer for evolutionary and multi-omics analysis is not only a necessity but also playing an important role.</p>","PeriodicalId":35536,"journal":{"name":"遗传","volume":"47 2","pages":"271-285"},"PeriodicalIF":0.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143383480","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":"The evolution of sequences and spatial conformation in vertebrate chromosomes.","authors":"Jing Liu, Qi Zhou","doi":"10.16288/j.yczz.24-212","DOIUrl":"https://doi.org/10.16288/j.yczz.24-212","url":null,"abstract":"<p><p>Chromosomes, as the fundamental unit of genetic material located within the cell nucleus, have undergone extensive and complex changes throughout the evolutionary history of eukaryotes. Many of these patterns and mechanisms of change share commonalities across various diseases, including cancer. For a long time, biologists were limited to research methods with relatively low resolution, such as fluorescence <i>in situ</i> hybridization (FISH). However, the rapid advancement of high-throughput sequencing technologies is revolutionizing our understanding of chromosomal variations across different species, among individuals of the same species, and even at the cellular level within a single individual. In this review, we focus on the chromosomal evolution in vertebrates, and provide an overview of the role of chromosom rearrangements in speciation, the molecular mechanisms of chromosomal rearrangements, the evolutionary patterns from ancestral chromosomes to extant chromosomes, and the significance of sex chromosomes as a general paradigm for studying chromosomal evolution. Finally, we discuss the new opportunities and challenges that synthetic biology brings to the field of chromosomal evolution research, with the aim of offering new insights and references for understanding and studying vertebrate chromosomal evolution.</p>","PeriodicalId":35536,"journal":{"name":"遗传","volume":"47 2","pages":"183-199"},"PeriodicalIF":0.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143383487","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}