Omics A Journal of Integrative Biology最新文献_第7页

Revolutionizing Biological Science: The Synergy of Genomics in Health, Bioinformatics, Agriculture, and Artificial Intelligence. 生物科学的革命：基因组学在健康、生物信息学、农业和人工智能领域的协同作用。

IF 2.2 3区生物学

Omics A Journal of Integrative Biology Pub Date : 2023-12-01 DOI: 10.1089/omi.2023.0197

Aakanksha Biswas, Aditi Kumari, D S Gaikwad, Dhananjay K Pandey

{"title":"Revolutionizing Biological Science: The Synergy of Genomics in Health, Bioinformatics, Agriculture, and Artificial Intelligence.","authors":"Aakanksha Biswas, Aditi Kumari, D S Gaikwad, Dhananjay K Pandey","doi":"10.1089/omi.2023.0197","DOIUrl":"10.1089/omi.2023.0197","url":null,"abstract":"With climate emergency, COVID-19, and the rise of planetary health scholarship, the binary of human and ecosystem health has been deeply challenged. The interdependence of human and nonhuman animal health is increasingly acknowledged and paving the way for new frontiers in integrative biology. The convergence of genomics in health, bioinformatics, agriculture, and artificial intelligence (AI) has ushered in a new era of possibilities and applications. However, the sheer volume of genomic/multiomics big data generated also presents formidable sociotechnical challenges in extracting meaningful biological, planetary health and ecological insights. Over the past few years, AI-guided bioinformatics has emerged as a powerful tool for managing, analyzing, and interpreting complex biological datasets. The advances in AI, particularly in machine learning and deep learning, have been transforming the fields of genomics, planetary health, and agriculture. This article aims to unpack and explore the formidable range of possibilities and challenges that result from such transdisciplinary integration, and emphasizes its radically transformative potential for human and ecosystem health. The integration of these disciplines is also driving significant advancements in precision medicine and personalized health care. This presents an unprecedented opportunity to deepen our understanding of complex biological systems and advance the well-being of all life in planetary ecosystems. Notwithstanding in mind its sociotechnical, ethical, and critical policy challenges, the integration of genomics, multiomics, planetary health, and agriculture with AI-guided bioinformatics opens up vast opportunities for transnational collaborative efforts, data sharing, analysis, valorization, and interdisciplinary innovations in life sciences and integrative biology.","PeriodicalId":19530,"journal":{"name":"Omics A Journal of Integrative Biology","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138807119","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Bridging the Gaps in Meta-Omic Analysis: Workflows and Reproducibility. 弥合元组分析的差距:工作流程和可重复性。

IF 2.2 3区生物学

Omics A Journal of Integrative Biology Pub Date : 2023-12-01 Epub Date: 2023-11-29 DOI: 10.1089/omi.2023.0232

João Vitor Ferreira Cavalcante, Iara Dantas de Souza, Diego Arthur de Azevedo Morais, Rodrigo Juliani Siqueira Dalmolin

{"title":"Bridging the Gaps in Meta-Omic Analysis: Workflows and Reproducibility.","authors":"João Vitor Ferreira Cavalcante, Iara Dantas de Souza, Diego Arthur de Azevedo Morais, Rodrigo Juliani Siqueira Dalmolin","doi":"10.1089/omi.2023.0232","DOIUrl":"10.1089/omi.2023.0232","url":null,"abstract":"The past few years have seen significant advances in the study of complex microbial communities associated with the evolution of sequencing technologies and increasing adoption of whole genome shotgun sequencing methods over the once more traditional Amplicon-based methods. Although these advances have broadened the horizon of meta-omic analyses in planetary health, human health, and ecology from simple sample composition studies to comprehensive taxonomic and metabolic profiles, there are still significant challenges in processing these data. First, there is a widespread lack of standardization in data processing, including software choices and the ease of installing and running attendant software. This can lead to several inconsistencies, making comparing results across studies and reproducing original results difficult. We argue that these drawbacks are especially evident in metatranscriptomic analysis, with most analyses relying on ad hoc scripts instead of pipelines implemented in workflow managers. Additional challenges rely on integrating meta-omic data, since methods have to consider the biases in the library preparation and sequencing methods and the technical noise that can arise from it. Here, we critically discuss the current limitations in metagenomics and metatranscriptomics methods with a view to catalyze future innovations in the field of Planetary Health, ecology, and allied fields of life sciences. We highlight possible solutions for these constraints to bring about more standardization, with ease of installation, high performance, and reproducibility as guiding principles.","PeriodicalId":19530,"journal":{"name":"Omics A Journal of Integrative Biology","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138452004","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

High-Grade Gliomas from Subventricular Zone: Proteomic Drivers of Aggressiveness Using Fluorescence-Guided Multiple Sampling. 脑室下区高级别胶质瘤：使用荧光引导多重取样的侵袭性蛋白质组驱动因素

IF 2.2 3区生物学

Omics A Journal of Integrative Biology Pub Date : 2023-12-01 Epub Date: 2023-12-07 DOI: 10.1089/omi.2023.0124

Saicharan Ghantasala, Amruth Bhat, Sridhar Epari, Aliasgar Moiyadi, Sanjeeva Srivastava

{"title":"High-Grade Gliomas from Subventricular Zone: Proteomic Drivers of Aggressiveness Using Fluorescence-Guided Multiple Sampling.","authors":"Saicharan Ghantasala, Amruth Bhat, Sridhar Epari, Aliasgar Moiyadi, Sanjeeva Srivastava","doi":"10.1089/omi.2023.0124","DOIUrl":"10.1089/omi.2023.0124","url":null,"abstract":"High-grade gliomas (HGGs) are among the most aggressive brain tumors and are characterized by dismally low median survival time. Of the many factors influencing the survival of patients with HGGs, proximity to the subventricular zone (SVZ) is one of the key influencers. In this context, 5-amino levulinic acid fluorescence-guided multiple sampling (FGMS) offers the prospect of understanding patient-to-patient molecular heterogeneity driving the aggressiveness of these tumors. Using high-resolution liquid chromatography-mass spectrometry (MS)/MS proteomics for HGGs from seven patients (four SVZ associated and three SVZ nonassociated), this study aimed to uncover the mechanisms driving the aggressiveness in SVZ-associated (SVZ+) HGGs. Differential proteomics analysis revealed significant dysregulation of 11 proteins, of which 9 proteins were upregulated and 2 were downregulated in SVZ+ HGGs compared to SVZ-non-associated (SVZ-) HGGs. The gene set enrichment analysis (GSEA) of the proteomics dataset revealed enrichment of MYC targets V1 and V2, G2M checkpoints, and E2F targets in SVZ+ HGGs. With GSEA, we also compared the pathways enriched in glioma stem cell subpopulations and observed a similar expression trend for most pathways in our data. In conclusion, this study reveals new and emerging insights on pathways that may potentially contribute to greater aggressiveness in SVZ+ HGGs. Future studies using FGMS in larger cohorts are recommended to help uncover the proteomics and molecular basis of aggressiveness and stemness in HGGs.","PeriodicalId":19530,"journal":{"name":"Omics A Journal of Integrative Biology","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138488163","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

From Microcosm to Macrocosm: The -Omics, Multiomics, and Sportomics Approaches in Exercise and Sports. 从微观到宏观：运动和体育中的微观、多元和运动组学方法。

IF 2.2 3区生物学

Omics A Journal of Integrative Biology Pub Date : 2023-11-01 Epub Date: 2023-11-09 DOI: 10.1089/omi.2023.0169

Renan Muniz-Santos, Alexandre Magno-França, Igor Jurisica, L C Cameron

{"title":"From Microcosm to Macrocosm: The -Omics, Multiomics, and Sportomics Approaches in Exercise and Sports.","authors":"Renan Muniz-Santos, Alexandre Magno-França, Igor Jurisica, L C Cameron","doi":"10.1089/omi.2023.0169","DOIUrl":"10.1089/omi.2023.0169","url":null,"abstract":"This article explores the progressive integration of -omics methods, including genomics, metabolomics, and proteomics, into sports research, highlighting the development of the concept of \"sportomics.\" We discuss how sportomics can be used to comprehend the multilevel metabolism during exercise in real-life conditions faced by athletes, enabling potential personalized interventions to improve performance and recovery and reduce injuries, all with a minimally invasive approach and reduced time. Sportomics may also support highly personalized investigations, including the implementation of n-of-1 clinical trials and the curation of extensive datasets through long-term follow-up of athletes, enabling tailored interventions for athletes based on their unique physiological responses to different conditions. Beyond its immediate sport-related applications, we delve into the potential of utilizing the sportomics approach to translate Big Data regarding top-level athletes into studying different human diseases, especially with nontargeted analysis. Furthermore, we present how the amalgamation of bioinformatics, artificial intelligence, and integrative computational analysis aids in investigating biochemical pathways, and facilitates the search for various biomarkers. We also highlight how sportomics can offer relevant information about doping control analysis. Overall, sportomics offers a comprehensive approach providing novel insights into human metabolism during metabolic stress, leveraging cutting-edge systems science techniques and technologies.","PeriodicalId":19530,"journal":{"name":"Omics A Journal of Integrative Biology","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71522192","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The Dynamic Landscapes of Circular RNAs in Axolotl, a Regenerative Medicine Model, with Implications for Early Phase of Limb Regeneration. Axolotl中环状RNA的动态景观，一种再生医学模型，对肢体再生的早期阶段有意义。

IF 2.2 3区生物学

Omics A Journal of Integrative Biology Pub Date : 2023-11-01 Epub Date: 2023-11-10 DOI: 10.1089/omi.2023.0158

Turan Demircan, Barış Ethem Süzek

{"title":"The Dynamic Landscapes of Circular RNAs in Axolotl, a Regenerative Medicine Model, with Implications for Early Phase of Limb Regeneration.","authors":"Turan Demircan, Barış Ethem Süzek","doi":"10.1089/omi.2023.0158","DOIUrl":"10.1089/omi.2023.0158","url":null,"abstract":"Circular RNAs (circRNAs) are of relevance to regenerative medicine and play crucial roles in post-transcriptional and translational regulation of biological processes. circRNAs are a class of RNA molecules that are formed through a unique splicing process, resulting in a covalently closed-loop structure. Recent advancements in RNA sequencing technologies and specialized computational tools have facilitated the identification and functional characterization of circRNAs. These molecules are known to exhibit stability, developmental regulation, and specific expression patterns in different tissues and cell types across various organisms. However, our understanding of circRNA expression and putative function in model organisms for regeneration is limited. In this context, this study reports, for the first time, on the repertoire of circRNAs in axolotl, a widely used model organism for regeneration. We generated RNA-seq data from intact limb, wound, and blastema tissues of axolotl during limb regeneration. The analysis revealed the presence of 35,956 putative axolotl circRNAs, among which 5331 unique circRNAs exhibited orthology with human circRNAs. In silico data analysis underlined the potential roles of axolotl circRNAs in cell cycle, cell death, and cell senescence-related pathways during limb regeneration, suggesting the participation of circRNAs in regulation of diverse functions pertinent to regenerative medicine. These new observations help advance our understanding of the dynamic landscape of axolotl circRNAs, and by extension, inform future regenerative medicine research and innovation that harness this model organism.","PeriodicalId":19530,"journal":{"name":"Omics A Journal of Integrative Biology","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72015000","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Differential Transcriptional Regulome Approach to Unpack Cancer Biology: Insights on Renal Cell Carcinoma Subtypes. 癌症生物学的差异转录调控方法：对肾细胞癌亚型的见解。

IF 2.2 3区生物学

Omics A Journal of Integrative Biology Pub Date : 2023-11-01 Epub Date: 2023-11-09 DOI: 10.1089/omi.2023.0167

Aysegul Caliskan, Kazim Yalcin Arga

{"title":"A Differential Transcriptional Regulome Approach to Unpack Cancer Biology: Insights on Renal Cell Carcinoma Subtypes.","authors":"Aysegul Caliskan, Kazim Yalcin Arga","doi":"10.1089/omi.2023.0167","DOIUrl":"10.1089/omi.2023.0167","url":null,"abstract":"Cancer research calls for new approaches that account for the regulatory complexities of biology. We present, in this study, the differential transcriptional regulome (DIFFREG) approach for the identification and prioritization of key transcriptional regulators and apply it to the case of renal cell carcinoma (RCC) biology. Of note, RCC has a poor prognosis and the biomarker and drug discovery studies to date have tended to focus on gene expression independent from mutations and/or post-translational modifications. DIFFREG focuses on the differential regulation between transcription factors (TFs) and their target genes rather than differential gene expression and integrates transcriptome profiling with the human transcriptional regulatory network to analyze differential gene regulation between healthy and RCC cases. In this study, RNA-seq tissue samples (n = 1020) from the Cancer Genome Atlas (TCGA), including healthy and tumor subjects, were integrated with a comprehensive human TF-gene interactome dataset (1122603 interactions between 1289 TFs and 25177 genes). Comparative analysis of DIFFREG profiles, consisting of perturbed TF-gene interactions, from three common subtypes (clear cell RCC, papillary RCC and chromophobe RCC) revealed subtype-specific alterations, supporting the hypothesis that these signatures in the transcriptional regulome profiles may be considered potential biomarkers that may play an important role in elucidating the molecular mechanisms of RCC development and translating knowledge about the genetic basis of RCC into the clinic. In addition, these indicators may help oncologists make the best decisions for diagnosis and prognosis management.","PeriodicalId":19530,"journal":{"name":"Omics A Journal of Integrative Biology","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71522191","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Feminism Is for Everyone: Scientists, Too. 女权主义适合所有人：科学家也是。

IF 2.2 3区生物学

Omics A Journal of Integrative Biology Pub Date : 2023-11-01 Epub Date: 2023-10-23 DOI: 10.1089/omi.2023.0216

Vural Özdemir

引用次数: 0

Omics Analysis and Quality Control Pipelines in a High-Performance Computing Environment. 高性能计算环境中的Omics分析和质量控制管道。

IF 2.2 3区生物学

Omics A Journal of Integrative Biology Pub Date : 2023-11-01 Epub Date: 2023-11-10 DOI: 10.1089/omi.2023.0078

Darrell O Ricke, Derek Ng, Adam Michaleas, Philip Fremont-Smith

{"title":"Omics Analysis and Quality Control Pipelines in a High-Performance Computing Environment.","authors":"Darrell O Ricke, Derek Ng, Adam Michaleas, Philip Fremont-Smith","doi":"10.1089/omi.2023.0078","DOIUrl":"10.1089/omi.2023.0078","url":null,"abstract":"Data quality is often an overlooked feature in the analysis of omics data. This is particularly relevant in studies of chemical and pathogen exposures that can modify an individual's epigenome and transcriptome with persistence over time. Portable, quality control (QC) pipelines for multiple different omics datasets are therefore needed. To meet these goals, portable quality assurance (QA) metrics, metric acceptability criterion, and pipelines to compute these metrics were developed and consolidated into one framework for 12 different omics assays. Performance of these QA metrics and pipelines were evaluated on human data generated by the Defense Advanced Research Projects Agency (DARPA) Epigenetic CHaracterization and Observation (ECHO) program. Twelve analytical pipelines were developed leveraging standard tools when possible. These QC pipelines were containerized using Singularity to ensure portability and scalability. Datasets for these 12 omics assays were analyzed and results were summarized. The quality thresholds and metrics used were described. We found that these pipelines enabled early identification of lower quality datasets, datasets with insufficient reads for additional sequencing, and experimental protocols needing refinements. These omics data analysis and QC pipelines are available as open-source resources as reported and discussed in this article for the omics and life sciences communities.","PeriodicalId":19530,"journal":{"name":"Omics A Journal of Integrative Biology","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72014999","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Maintaining High-Touch in High-Tech Digital Health Monitoring and Multi-Omics Prognostication: Ethical, Equity, and Societal Considerations in Precision Health for Palliative Care. 在高科技数字健康监测和多种疾病预测中保持高度接触：姑息治疗精准健康的伦理、公平和社会考虑。

IF 2.2 3区生物学

Omics A Journal of Integrative Biology Pub Date : 2023-10-01 DOI: 10.1089/omi.2023.0120

John Noel Viana, Caitlin Pilbeam, Mark Howard, Brett Scholz, Zongyuan Ge, Carys Fisser, Imogen Mitchell, Sujatha Raman, Joan Leach

{"title":"Maintaining High-Touch in High-Tech Digital Health Monitoring and Multi-Omics Prognostication: Ethical, Equity, and Societal Considerations in Precision Health for Palliative Care.","authors":"John Noel Viana, Caitlin Pilbeam, Mark Howard, Brett Scholz, Zongyuan Ge, Carys Fisser, Imogen Mitchell, Sujatha Raman, Joan Leach","doi":"10.1089/omi.2023.0120","DOIUrl":"10.1089/omi.2023.0120","url":null,"abstract":"Advances in digital health, systems biology, environmental monitoring, and artificial intelligence (AI) continue to revolutionize health care, ushering a precision health future. More than disease treatment and prevention, precision health aims at maintaining good health throughout the lifespan. However, how can precision health impact care for people with a terminal or life-limiting condition? We examine here the ethical, equity, and societal/relational implications of two precision health modalities, (1) integrated systems biology/multi-omics analysis for disease prognostication and (2) digital health technologies for health status monitoring and communication. We focus on three main ethical and societal considerations: benefits and risks associated with integration of these modalities into the palliative care system; inclusion of underrepresented and marginalized groups in technology development and deployment; and the impact of high-tech modalities on palliative care's highly personalized and \"high-touch\" practice. We conclude with 10 recommendations for ensuring that precision health technologies, such as multi-omics prognostication and digital health monitoring, for palliative care are developed, tested, and implemented ethically, inclusively, and equitably.","PeriodicalId":19530,"journal":{"name":"Omics A Journal of Integrative Biology","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49680515","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Comprehensive Bioinformatics Resource Guide for Genome-Based Antimicrobial Resistance Studies. 基于基因组的抗菌药物耐药性研究的综合生物信息学资源指南。

IF 2.2 3区生物学

Omics A Journal of Integrative Biology Pub Date : 2023-10-01 DOI: 10.1089/omi.2023.0140

Debyani Samantray, Ankit Singh Tanwar, Thokur Sreepathy Murali, Angela Brand, Kapaettu Satyamoorthy, Bobby Paul

{"title":"A Comprehensive Bioinformatics Resource Guide for Genome-Based Antimicrobial Resistance Studies.","authors":"Debyani Samantray, Ankit Singh Tanwar, Thokur Sreepathy Murali, Angela Brand, Kapaettu Satyamoorthy, Bobby Paul","doi":"10.1089/omi.2023.0140","DOIUrl":"10.1089/omi.2023.0140","url":null,"abstract":"The use of high-throughput sequencing technologies and bioinformatic tools has greatly transformed microbial genome research. With the help of sophisticated computational tools, it has become easier to perform whole genome assembly, identify and compare different species based on their genomes, and predict the presence of genes responsible for proteins, antimicrobial resistance, and toxins. These bioinformatics resources are likely to continuously improve in quality, become more user-friendly to analyze the multiple genomic data, efficient in generating information and translating it into meaningful knowledge, and enhance our understanding of the genetic mechanism of AMR. In this manuscript, we provide an essential guide for selecting the popular resources for microbial research, such as genome assembly and annotation, antibiotic resistance gene profiling, identification of virulence factors, and drug interaction studies. In addition, we discuss the best practices in computer-oriented microbial genome research, emerging trends in microbial genomic data analysis, integration of multi-omics data, the appropriate use of machine-learning algorithms, and open-source bioinformatics resources for genome data analytics.","PeriodicalId":19530,"journal":{"name":"Omics A Journal of Integrative Biology","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49680512","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0