Current Genomics最新文献

{"title":"Comparisons of Forecasting for Survival Outcome for Head and Neck Squamous Cell Carcinoma by using Machine Learning Models based on Multi-omics.","authors":"Liying Mo,&nbsp;Yuangang Su,&nbsp;Jianhui Yuan,&nbsp;Zhiwei Xiao,&nbsp;Ziyan Zhang,&nbsp;Xiuwan Lan,&nbsp;Daizheng Huang","doi":"10.2174/1389202923666220204153744","DOIUrl":"https://doi.org/10.2174/1389202923666220204153744","url":null,"abstract":"<p><p><b><i>Background</i>:</b> Machine learning methods showed excellent predictive ability in a wide range of fields. For the survival of head and neck squamous cell carcinoma (HNSC), its multi-omics influence is crucial. This study attempts to establish a variety of machine learning multi-omics models to predict the survival of HNSC and find the most suitable machine learning prediction method. <b><i>Methods</i>:</b> The HNSC clinical data and multi-omics data were downloaded from the TCGA database. The important variables were screened by the LASSO algorithm. We used a total of 12 supervised machine learning models to predict the outcome of HNSC survival and compared the results. <i>In vitro</i> qPCR was performed to verify core genes predicted by the random forest algorithm. <b><i>Results</i>:</b> For omics of HNSC, the results of the twelve models showed that the performance of multi-omics was better than each single-omic alone. Results were presented, which showed that the Bayesian network(BN) model (area under the curve [AUC] 0.8250, F1 score=0.7917) and random forest(RF) model (area under the curve [AUC] 0.8002,F1 score=0.7839) played good prediction performance in HNSC multi-omics data. The results of <i>in vitro</i> qPCR were consistent with the RF algorithm. <b><i>Conclusion</i>:</b> Machine learning methods could better forecast the survival outcome of HNSC. Meanwhile, this study found that the BN model and the RF model were the most superior. Moreover, the forecast result of multi-omics was better than single-omic alone in HNSC.</p>","PeriodicalId":10803,"journal":{"name":"Current Genomics","volume":"23 2","pages":"94-108"},"PeriodicalIF":2.6,"publicationDate":"2022-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/a7/b3/CG-23-94.PMC9878835.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10698037","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":"Integrating LASSO Feature Selection and Soft Voting Classifier to Identify Origins of Replication Sites.","authors":"Yingying Yao,&nbsp;Shengli Zhang,&nbsp;Tian Xue","doi":"10.2174/1389202923666220214122506","DOIUrl":"https://doi.org/10.2174/1389202923666220214122506","url":null,"abstract":"<p><p><b><i>Background</i>:</b> DNA replication plays an indispensable role in the transmission of genetic information. It is considered to be the basis of biological inheritance and the most fundamental process in all biological life. Considering that DNA replication initiates with a special location, namely the origin of replication, a better and accurate prediction of the origins of replication sites (ORIs) is essential to gain insight into the relationship with gene expression. <b><i>Objective</i>:</b> In this study, we have developed an efficient predictor called iORI-LAVT for ORIs identification. <b><i>Methods</i>:</b> This work focuses on extracting feature information from three aspects, including mono-nucleotide encoding, <i>k</i>-mer and ring-function-hydrogen-chemical properties. Subsequently, least absolute shrinkage and selection operator (LASSO) as a feature selection is applied to select the optimal features. Comparing the different combined soft voting classifiers results, the soft voting classifier based on GaussianNB and Logistic Regression is employed as the final classifier. <b><i>Results</i>:</b> Based on 10-fold cross-validation test, the prediction accuracies of two benchmark datasets are 90.39% and 95.96%, respectively. As for the independent dataset, our method achieves high accuracy of 91.3%. <b><i>Conclusion</i>:</b> Compared with previous predictors, iORI-LAVT outperforms the existing methods. It is believed that iORI-LAVT predictor is a promising alternative for further research on identifying ORIs.</p>","PeriodicalId":10803,"journal":{"name":"Current Genomics","volume":"23 2","pages":"83-93"},"PeriodicalIF":2.6,"publicationDate":"2022-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/2b/70/CG-23-83.PMC9878833.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10698035","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":"Comparative Transcriptome Analysis of Flower Senescence of <i>Camellia lutchuensis</i>.","authors":"Weixin Liu,&nbsp;Hengfu Yin,&nbsp;Yi Feng,&nbsp;Suhang Yu,&nbsp;Zhengqi Fan,&nbsp;Xinlei Li,&nbsp;Jiyuan Li","doi":"10.2174/1389202923666220203104340","DOIUrl":"https://doi.org/10.2174/1389202923666220203104340","url":null,"abstract":"<p><strong>Background: </strong>Flower senescence is the last stage of flower development and affects the ornamental and economic value of flower plants. There is still less known on flower senescence of the ornamental plant <i>Camellia lutchuensis</i>, a precious species of <i>Camellia</i> with significant commercial application value.</p><p><strong>Methods: </strong>Transcriptome sequencing was used to investigate the flower senescence in five developmental stages of <i>C. lutchuensis</i>.</p><p><strong>Results: </strong>By Illumina HiSeq sequencing, we generated approximately 101.16 Gb clean data and 46649 differentially expressed unigenes. Based on the different expression pattern, differentially expressed unigenes were classified into 10 Sub Class. And Sub Class 9 including 8252 unigenes, was highly expressed in the flower senescent stage, suggesting it had a potential regulatory relationship of flower senescence. First, we found that ethylene biosynthesis genes <i>ACSs</i>, <i>ACOs</i>, receptor <i>ETR</i> genes and signaling genes <i>EINs</i>, <i>ERFs</i> all upregulated during flower senescence, suggesting ethylene might play a key role in the flower senescence of <i>C. lutchuensis</i>. Furthermore, reactive oxygen species (ROS) production related genes <i>peroxidase</i> (<i>POD</i>), <i>lipase</i> (<i>LIP</i>), <i>polyphenoloxidase</i> (<i>PPO</i>), and ROS scavenging related genes <i>glutathione S-transferase</i> (<i>GST</i>), <i>glutathione reductase</i> (<i>GR</i>) and <i>superoxide dismutase</i> (<i>SOD</i>) were induced in senescent stage, suggesting ROS might be involved in the flower senescence. Besides, the expression of monoterpenoid and isoflavonoid biosynthesis genes, transcription factors (<i>WRKY</i>, <i>NAC</i>, <i>MYB</i> and <i>C₂H₂</i> ), <i>senescence-associated gene SAG20</i> also were increased during flower senescence.</p><p><strong>Conclusion: </strong>In <i>C. lutchuensis</i>, ethylene pathway might be the key to regulate flower senescence, and ROS signal might play a role in the flower senescence.</p>","PeriodicalId":10803,"journal":{"name":"Current Genomics","volume":"23 1","pages":"66-76"},"PeriodicalIF":2.6,"publicationDate":"2022-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/d1/ca/CG-23-66.PMC9199534.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40582298","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":"Transcriptomic Analysis Reveals Key Candidate Genes Related to Seed Abortion in Chinese Jujube (<i>Ziziphus jujuba</i> Mill).","authors":"Fengxia Shao,&nbsp;Hengfu Yin,&nbsp;Sen Wang,&nbsp;Saiyang Zhang,&nbsp;Juan Chen,&nbsp;Can Feng","doi":"10.2174/1389202922666211110100017","DOIUrl":"https://doi.org/10.2174/1389202922666211110100017","url":null,"abstract":"<p><strong>Background: </strong>Seed abortion is a common phenomenon in Chinese jujube that seriously hinders the process of cross-breeding. However, the molecular mechanisms of seed abortion remain unclear in jujube.</p><p><strong>Methods: </strong>Here, we performed transcriptome sequencing using eight flower and fruit tissues at different developmental stages in <i>Ziziphus jujuba</i> Mill. 'Zhongqiusucui' to identify key genes related to seed abortion. Histological analysis revealed a critical developmental process of embryo abortion after fertilization.</p><p><strong>Results: </strong>Comparisons of gene expression revealed a total of 14,012 differentially expressed genes. Functional enrichment analyses of differentially expressed genes between various sample types uncovered several important biological processes, such as embryo development, cellular metabolism, and stress response, that were potentially involved in the regulation of seed abortion. Furthermore, gene co-expression network analysis revealed a suite of potential key genes related to ovule and seed development. We focused on three types of candidate genes, agamous subfamily genes, plant ATP-binding cassette subfamily G transporters, and metacaspase enzymes, and showed that the expression profiles of some members were associated with embryo abortion.</p><p><strong>Conclusion: </strong>This work generates a comprehensive gene expression data source for unraveling the molecular mechanisms of seed abortion and aids future cross-breeding efforts in jujube.</p>","PeriodicalId":10803,"journal":{"name":"Current Genomics","volume":"23 1","pages":"26-40"},"PeriodicalIF":2.6,"publicationDate":"2022-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/d6/46/CG-23-26.PMC9199538.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40605791","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":"Novel MicroRNAs and their Functional Targets from <i>Phytophthora infestans</i> and <i>Phytophthora cinnamomi</i>.","authors":"Binta Varghese,&nbsp;Ravisankar Valsalan,&nbsp;Deepu Mathew","doi":"10.2174/1389202923666211223122305","DOIUrl":"https://doi.org/10.2174/1389202923666211223122305","url":null,"abstract":"<p><strong>Background: </strong>Even though miRNAs play vital roles in developmental biology by regulating the translation of mRNAs, they are poorly studied in oomycetes, especially in the plant pathogen <i>Phytophthora</i>.</p><p><strong>Objective: </strong>The study aimed to predict and identify the putative miRNAs and their targets in <i>Phytophthora infestans</i> and <i>Phytophthora cinnamomi</i>.</p><p><strong>Methods: </strong>The homology-based comparative method was used to identify the unique miRNA sequences in <i>P. infestans</i> and <i>P. cinnamomi</i> with 148,689 EST and TSA sequences of these species. Secondary structure prediction of sRNAs for the 76 resultant sequences has been performed with the MFOLD tool, and their targets were predicted using psRNATarget.</p><p><strong>Results: </strong>Novel miRNAs, miR-8210 and miR-4968, were predicted from <i>P. infestans</i> and <i>P. cinnamomi</i>, respectively, along with their structural features. The newly identified miRNAs were identified to play important roles in gene regulation, with few of their target genes predicted as transcription factors, tumor suppressor genes, stress-responsive genes, DNA repair genes, <i>etc</i>.</p><p><strong>Conclusion: </strong>The miRNAs and their targets identified have opened new interference and editing targets for the development of <i>Phytophthora</i> resistant crop varieties.</p>","PeriodicalId":10803,"journal":{"name":"Current Genomics","volume":"23 1","pages":"41-49"},"PeriodicalIF":2.6,"publicationDate":"2022-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/5a/a7/CG-23-41.PMC9199537.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40582301","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":"The Complete Chloroplast Genome Sequence of <i>Cicer bijugum</i>, Genome Organization, and Comparison with Related Species.","authors":"Melih Temel,&nbsp;Yasin Kaymaz,&nbsp;Duygu Ateş,&nbsp;Abdullah Kahraman,&nbsp;Muhammed Bahattin Tanyolaç","doi":"10.2174/1389202923666220211113708","DOIUrl":"https://doi.org/10.2174/1389202923666220211113708","url":null,"abstract":"<p><strong>Background: </strong>Chickpea is one of Turkey's most significant legumes, and because of its high nutritional value, it is frequently preferred in human nourishment.Chloroplasts, which have their own genetic material, are organelles responsible for photosynthesis in plant cells and their genome contains non-trivial information about the molecular features and evolutionary process of plants.</p><p><strong>Objective: </strong>Current study aimed at revealing complete chloroplast genome sequence of one of the wild type <i>Cicer</i> species, <i>Cicer bijugum,</i> and comparing its genome with cultivated <i>Cicer</i> species, <i>Cicer arietinum,</i> by using bioinformatics analysis tools. Except for <i>Cicer arietinum</i>, there has been no study on the chloroplast genome sequence of <i>Cicer</i> species.Therefore, we targeted to reveal the complete chloroplast genome sequence of wild type <i>Cicer</i> species, <i>Cicer bijugum,</i> and compare the chloroplast genome of <i>Cicer bijugum</i> with the cultivated one <i>Cicer arietinum.</i></p><p><strong>Methods: </strong>In this study, we sequenced the whole chloroplast genome of <i>Cicer bijugum</i>, one of the wild types of chickpea species, with the help Next Generation Sequencing platform and compared it with the chloroplast genome of the cultivated chickpea species, <i>Cicer arietinum</i>, by using online bioinformatics analysis tools.</p><p><strong>Results: </strong>We determined the size of the chloroplast genome of <i>C. bijugum</i> as 124,804 bp and found that <i>C. bijugum</i> did not contain an inverted repeat region in its chloroplast genome. Comparative analysis of the <i>C. bijugum</i> chloroplast genome uncovered thirteen hotspot regions (psbA, matK, rpoB, rpoC1, rpoC2, psbI, psbK, accD, rps19, ycf2, ycf1, rps15, and ndhF) and seven of them (matK, accD, rps19, ycf1, ycf2, rps15 and ndhF) could potentially be used as strong molecular markers for species identification. It has been determined that <i>C. bijugum</i> was phylogenetically closer to cultivated chickpea as compared to the other species.</p><p><strong>Conclusion: </strong>It is aimed that the data obtained from this study, which is the first study in which whole chloroplast genomes of wild chickpea species were sequenced, will guide researchers in future molecular, evolutionary, and genetic engineering studies with chickpea species.</p>","PeriodicalId":10803,"journal":{"name":"Current Genomics","volume":"23 1","pages":"50-65"},"PeriodicalIF":2.6,"publicationDate":"2022-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/d0/9b/CG-23-50.PMC9199535.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40582299","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":"Molecular Characterization of Upper Tract Urothelial Carcinoma for Precision Therapeutics and Non-invasive Diagnostics.","authors":"Emiko Sugawara,&nbsp;Kei Koyama,&nbsp;Kentaro Inamura","doi":"10.2174/1389202923666220204155828","DOIUrl":"https://doi.org/10.2174/1389202923666220204155828","url":null,"abstract":"<jats:sec>\u0000<jats:title />\u0000<jats:p />\u0000</jats:sec>","PeriodicalId":10803,"journal":{"name":"Current Genomics","volume":"23 1","pages":"2-4"},"PeriodicalIF":2.6,"publicationDate":"2022-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/d4/37/CG-23-2.PMC9199533.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40582300","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":"A Combinational Approach for More Efficient miRNA Biosensing.","authors":"Cheolho Lee","doi":"10.2174/1389202923666220204160912","DOIUrl":"https://doi.org/10.2174/1389202923666220204160912","url":null,"abstract":"<p><p>MicroRNAs, short single-stranded noncoding RNAs ranging in length from 18 ~ 24 bp, are found in all kingdoms of eukaryotes and even viruses. It was found that miRNAs are involved in a variety of biological processes, and their intracellular aberrant expression is related to diseases and abnormalities in the immune system. Since then, it has been considered essential to develop an efficient miRNA detection system. In this review, the limitations of traditional scheme-based miRNA detection methods are compared and analyzed. In particular, nucleic acid amplification-based miRNA detection methods and nanomaterial-based miRNA detection methods, which are widely used as a biosensing platform because of various features and advantages, such as high sensitivity, specificity, and simplicity, are analyzed. Based on this analysis, the latest examples of a combination of the advantages of nucleic acid amplification and those of nanomaterials are examined to suggest the characteristics of the next-generation miRNA biosensing.</p>","PeriodicalId":10803,"journal":{"name":"Current Genomics","volume":"23 1","pages":"5-25"},"PeriodicalIF":2.6,"publicationDate":"2022-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/ab/c7/CG-23-5.PMC9199536.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40582302","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":"Preface","authors":"C. Neri","doi":"10.2174/138920292301220407100625","DOIUrl":"https://doi.org/10.2174/138920292301220407100625","url":null,"abstract":"This book is about automotive user interfaces. In the last years the importance of user interfaces for in-vehicle usage has increased strongly. Different studies show that over 80% of today’s innovations in the automotive industry are based on car electronics and its software. These innovations can be categorized into hidden technologies (e.g., ASP, ESP), comfort functions (e.g., navigation, communication, entertainment) or driver assistance (e.g., distance checking). Especially the last two categories have to be configurable by the driver and therefore require a certain amount of driver interaction. This results in a need for a modern and consistent automotive user interface which on the one hand allows the configuration of these systems and on the other hand conforms to the specialized requirements of the automotive industry. Some of these requirements are: the interaction devices have to be integrated into a limited space; the automotive user interface has to be intuitively usable and adaptable, since drivers generally do not get an extensive explanation and the automotive user interface has to be very easy to use and should distract the driver as little as possible from his main task of driving. The increased complexity of automotive user interfaces, the importance of using consumer electronic devices like smartphones in the car as well as autonomous driving has induced a lot of research at universities and industrial companies. The specific chapters in this book cover a relatively broad spectrum of detailed research topics in the area of automotive user interfaces concerning, e.g. usability and user experience, interaction techniques and technologies, applications, etc. This book provides an outstanding overview as well as deep insights into the area of automotive user interfaces, which is an important topic in the field of human– computer interaction. Besides aiming to be a reference in its area, this book is intended as a very significant and valuable source for professional practitioners, researchers as well as senior and postgraduate computer science and engineering students.","PeriodicalId":10803,"journal":{"name":"Current Genomics","volume":"1 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43073545","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 Lethality of Human-Adapted Coronavirus Through Alignment-Free Machine Learning Approaches Using Genomic Sequences.","authors":"Rui Yin, Zihan Luo, Chee Keong Kwoh","doi":"10.2174/1389202923666211221110857","DOIUrl":"10.2174/1389202923666211221110857","url":null,"abstract":"<p><strong>Background: </strong>A newly emerging novel coronavirus appeared and rapidly spread worldwide and World Health Organization declared a pandemic on March 11, 2020. The roles and characteristics of coronavirus have captured much attention due to its power of causing a wide variety of infectious diseases, from mild to severe, on humans. The detection of the lethality of human coronavirus is key to estimate the viral toxicity and provide perspectives for treatment.</p><p><strong>Methods: </strong>We developed an alignment-free framework that utilizes machine learning approaches for an ultra-fast and highly accurate prediction of the lethality of human-adapted coronavirus using genomic sequences. We performed extensive experiments through six different feature transformation and machine learning algorithms combining digital signal processing to identify the lethality of possible future novel coronaviruses using existing strains.</p><p><strong>Results: </strong>The results tested on SARS-CoV, MERS-CoV and SARS-CoV-2 datasets show an average 96.7% prediction accuracy. We also provide preliminary analysis validating the effectiveness of our models through other human coronaviruses. Our framework achieves high levels of prediction performance that is alignment-free and based on RNA sequences alone without genome annotations and specialized biological knowledge.</p><p><strong>Conclusion: </strong>The results demonstrate that, for any novel human coronavirus strains, this study can offer a reliable real-time estimation for its viral lethality.</p>","PeriodicalId":10803,"journal":{"name":"Current Genomics","volume":"22 1","pages":"583-595"},"PeriodicalIF":1.8,"publicationDate":"2021-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8922323/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42322549","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}