NPJ Systems Biology and Applications最新文献_第6页

Bifurcations in coupled amyloid-β aggregation-inflammation systems. 淀粉样蛋白-β聚集-炎症耦合系统中的分岔。

IF 3.5 2区生物学

NPJ Systems Biology and Applications Pub Date : 2024-07-30 DOI: 10.1038/s41540-024-00408-7

Kalyan S Chakrabarti, Davood Bakhtiari, Nasrollah Rezaei-Ghaleh

{"title":"Bifurcations in coupled amyloid-β aggregation-inflammation systems.","authors":"Kalyan S Chakrabarti, Davood Bakhtiari, Nasrollah Rezaei-Ghaleh","doi":"10.1038/s41540-024-00408-7","DOIUrl":"10.1038/s41540-024-00408-7","url":null,"abstract":"A complex interplay between various processes underlies the neuropathology of Alzheimer's disease (AD) and its progressive course. Several lines of evidence point to the coupling between Aβ aggregation and neuroinflammation and its role in maintaining brain homeostasis during the long prodromal phase of AD. Little is however known about how this protective mechanism fails and as a result, an irreversible and progressive transition to clinical AD occurs. Here, we introduce a minimal model of a coupled system of Aβ aggregation and inflammation, numerically simulate its dynamical behavior, and analyze its bifurcation properties. The introduced model represents the following events: generation of Aβ monomers, aggregation of Aβ monomers into oligomers and fibrils, induction of inflammation by Aβ aggregates, and clearance of various Aβ species. Crucially, the rates of Aβ generation and clearance are modulated by inflammation level following a Hill-type response function. Despite its relative simplicity, the model exhibits enormously rich dynamics ranging from overdamped kinetics to sustained oscillations. We then specify the region of inflammation- and coupling-related parameters space where a transition to oscillatory dynamics occurs and demonstrate how changes in Aβ aggregation parameters could shift this oscillatory region in parameter space. Our results reveal the propensity of coupled Aβ aggregation-inflammation systems to oscillatory dynamics and propose prolonged sustained oscillations and their consequent immune system exhaustion as a potential mechanism underlying the transition to a more progressive phase of amyloid pathology in AD. The implications of our results in regard to early diagnosis of AD and anti-AD drug development are discussed.","PeriodicalId":19345,"journal":{"name":"NPJ Systems Biology and Applications","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11289389/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141856128","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A possible path to persistent re-entry waves at the outlet of the left pulmonary vein. 左肺静脉出口处出现持续性再入波的可能途径。

IF 3.5 2区生物学

NPJ Systems Biology and Applications Pub Date : 2024-07-23 DOI: 10.1038/s41540-024-00406-9

Karoline Horgmo Jæger, Aslak Tveito

{"title":"A possible path to persistent re-entry waves at the outlet of the left pulmonary vein.","authors":"Karoline Horgmo Jæger, Aslak Tveito","doi":"10.1038/s41540-024-00406-9","DOIUrl":"10.1038/s41540-024-00406-9","url":null,"abstract":"Atrial fibrillation (AF) is the most common form of cardiac arrhythmia, often evolving from paroxysmal episodes to persistent stages over an extended timeframe. While various factors contribute to this progression, the precise biophysical mechanisms driving it remain unclear. Here we explore how rapid firing of cardiomyocytes at the outlet of the pulmonary vein of the left atria can create a substrate for a persistent re-entry wave. This is grounded in a recently formulated mathematical model of the regulation of calcium ion channel density by intracellular calcium concentration. According to the model, the number of calcium channels is controlled by the intracellular calcium concentration. In particular, if the concentration increases above a certain target level, the calcium current is weakened to restore the target level of calcium. During rapid pacing, the intracellular calcium concentration of the cardiomyocytes increases leading to a substantial reduction of the calcium current across the membrane of the myocytes, which again reduces the action potential duration. In a spatially resolved cell-based model of the outlet of the pulmonary vein of the left atria, we show that the reduced action potential duration can lead to re-entry. Initiated by rapid pacing, often stemming from paroxysmal AF episodes lasting several days, the reduction in calcium current is a critical factor. Our findings illustrate how such episodes can foster a conducive environment for persistent AF through electrical remodeling, characterized by diminished calcium currents. This underscores the importance of promptly addressing early AF episodes to prevent their progression to chronic stages.","PeriodicalId":19345,"journal":{"name":"NPJ Systems Biology and Applications","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11266599/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141752276","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Self-consistent signal transduction analysis for modeling context-specific signaling cascades and perturbations. 自洽信号转导分析，用于模拟特定环境下的信号级联和扰动。

IF 3.5 2区生物学

NPJ Systems Biology and Applications Pub Date : 2024-07-19 DOI: 10.1038/s41540-024-00404-x

John Cole

引用次数: 0

Including glutamine in a resource allocation model of energy metabolism in cancer and yeast cells. 将谷氨酰胺纳入癌细胞和酵母细胞能量代谢的资源分配模型。

IF 3.5 2区生物学

NPJ Systems Biology and Applications Pub Date : 2024-07-18 DOI: 10.1038/s41540-024-00393-x

Jan Ewald, Ziyang He, Wassili Dimitriew, Stefan Schuster

{"title":"Including glutamine in a resource allocation model of energy metabolism in cancer and yeast cells.","authors":"Jan Ewald, Ziyang He, Wassili Dimitriew, Stefan Schuster","doi":"10.1038/s41540-024-00393-x","DOIUrl":"10.1038/s41540-024-00393-x","url":null,"abstract":"Energy metabolism is crucial for all living cells, especially during fast growth or stress scenarios. Many cancer and activated immune cells (Warburg effect) or yeasts (Crabtree effect) mostly rely on aerobic glucose fermentation leading to lactate or ethanol, respectively, to generate ATP. In recent years, several mathematical models have been proposed to explain the Warburg effect on theoretical grounds. Besides glucose, glutamine is a very important substrate for eukaryotic cells-not only for biosynthesis, but also for energy metabolism. Here, we present a minimal constraint-based stoichiometric model for explaining both the classical Warburg effect and the experimentally observed respirofermentation of glutamine (WarburQ effect). We consider glucose and glutamine respiration as well as the respective fermentation pathways. Our resource allocation model calculates the ATP production rate, taking into account enzyme masses and, therefore, pathway costs. While our calculation predicts glucose fermentation to be a superior energy-generating pathway in human cells, different enzyme characteristics in yeasts reduce this advantage, in some cases to such an extent that glucose respiration is preferred. The latter is observed for the fungal pathogen Candida albicans, which is a known Crabtree-negative yeast. Further, optimization results show that glutamine is a valuable energy source and important substrate under glucose limitation, in addition to its role as a carbon and nitrogen source of biomass in eukaryotic cells. In conclusion, our model provides insights that glutamine is an underestimated fuel for eukaryotic cells during fast growth and infection scenarios and explains well the observed parallel respirofermentation of glucose and glutamine in several cell types.","PeriodicalId":19345,"journal":{"name":"NPJ Systems Biology and Applications","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2024-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11258256/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141724077","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A deep position-encoding model for predicting olfactory perception from molecular structures and electrostatics. 从分子结构和静电学预测嗅觉感知的深度位置编码模型。

IF 3.5 2区生物学

NPJ Systems Biology and Applications Pub Date : 2024-07-17 DOI: 10.1038/s41540-024-00401-0

Mengji Zhang, Yusuke Hiki, Akira Funahashi, Tetsuya J Kobayashi

{"title":"A deep position-encoding model for predicting olfactory perception from molecular structures and electrostatics.","authors":"Mengji Zhang, Yusuke Hiki, Akira Funahashi, Tetsuya J Kobayashi","doi":"10.1038/s41540-024-00401-0","DOIUrl":"10.1038/s41540-024-00401-0","url":null,"abstract":"Predicting olfactory perceptions from odorant molecules is challenging due to the complex and potentially discontinuous nature of the perceptual space for smells. In this study, we introduce a deep learning model, Mol-PECO (Molecular Representation by Positional Encoding of Coulomb Matrix), designed to predict olfactory perceptions based on molecular structures and electrostatics. Mol-PECO learns the efficient embedding of molecules by utilizing the Coulomb matrix, which encodes atomic coordinates and charges, as an alternative of the adjacency matrix and its Laplacian eigenfunctions as positional encoding of atoms. With a comprehensive dataset of odor molecules and descriptors, Mol-PECO outperforms traditional machine learning methods using molecular fingerprints and graph neural networks based on adjacency matrices. The learned embeddings by Mol-PECO effectively capture the odor space, enabling global clustering of descriptors and local retrieval of similar odorants. This work contributes to a deeper understanding of the olfactory sense and its mechanisms.","PeriodicalId":19345,"journal":{"name":"NPJ Systems Biology and Applications","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2024-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11255234/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141634123","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Systems modeling of oncogenic G-protein and GPCR signaling reveals unexpected differences in downstream pathway activation. 致癌 G 蛋白和 GPCR 信号的系统建模揭示了下游通路激活中意想不到的差异。

IF 3.5 2区生物学

NPJ Systems Biology and Applications Pub Date : 2024-07-16 DOI: 10.1038/s41540-024-00400-1

Michael Trogdon, Kodye Abbott, Nadia Arang, Kathryn Lande, Navneet Kaur, Melinda Tong, Mathieu Bakhoum, J Silvio Gutkind, Edward C Stites

{"title":"Systems modeling of oncogenic G-protein and GPCR signaling reveals unexpected differences in downstream pathway activation.","authors":"Michael Trogdon, Kodye Abbott, Nadia Arang, Kathryn Lande, Navneet Kaur, Melinda Tong, Mathieu Bakhoum, J Silvio Gutkind, Edward C Stites","doi":"10.1038/s41540-024-00400-1","DOIUrl":"10.1038/s41540-024-00400-1","url":null,"abstract":"Mathematical models of biochemical reaction networks are an important and emerging tool for the study of cell signaling networks involved in disease processes. One promising potential application of such mathematical models is the study of how disease-causing mutations promote the signaling phenotype that contributes to the disease. It is commonly assumed that one must have a thorough characterization of the network readily available for mathematical modeling to be useful, but we hypothesized that mathematical modeling could be useful when there is incomplete knowledge and that it could be a tool for discovery that opens new areas for further exploration. In the present study, we first develop a mechanistic mathematical model of a G-protein coupled receptor signaling network that is mutated in almost all cases of uveal melanoma and use model-driven explorations to uncover and explore multiple new areas for investigating this disease. Modeling the two major, mutually-exclusive, oncogenic mutations (Gαq/11 and CysLT2R) revealed the potential for previously unknown qualitative differences between seemingly interchangeable disease-promoting mutations, and our experiments confirmed oncogenic CysLT2R was impaired at activating the FAK/YAP/TAZ pathway relative to Gαq/11. This led us to hypothesize that CYSLTR2 mutations in UM must co-occur with other mutations to activate FAK/YAP/TAZ signaling, and our bioinformatic analysis uncovers a role for co-occurring mutations involving the plexin/semaphorin pathway, which has been shown capable of activating this pathway. Overall, this work highlights the power of mechanism-based computational systems biology as a discovery tool that can leverage available information to open new research areas.","PeriodicalId":19345,"journal":{"name":"NPJ Systems Biology and Applications","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2024-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11252164/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141627232","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Cancer mutationscape: revealing the link between modular restructuring and intervention efficacy among mutations. 癌症突变景观：揭示突变中模块重组与干预效果之间的联系。

IF 3.5 2区生物学

NPJ Systems Biology and Applications Pub Date : 2024-07-13 DOI: 10.1038/s41540-024-00398-6

Daniel Plaugher, David Murrugarra

{"title":"Cancer mutationscape: revealing the link between modular restructuring and intervention efficacy among mutations.","authors":"Daniel Plaugher, David Murrugarra","doi":"10.1038/s41540-024-00398-6","DOIUrl":"10.1038/s41540-024-00398-6","url":null,"abstract":"There is increasing evidence that biological systems are modular in both structure and function. Complex biological signaling networks such as gene regulatory networks (GRNs) are proving to be composed of subcategories that are interconnected and hierarchically ranked. These networks contain highly dynamic processes that ultimately dictate cellular function over time, as well as influence phenotypic fate transitions. In this work, we use a stochastic multicellular signaling network of pancreatic cancer (PC) to show that the variance in topological rankings of the most phenotypically influential modules implies a strong relationship between structure and function. We further show that induction of mutations alters the modular structure, which analogously influences the aggression and controllability of the disease in silico. We finally present evidence that the impact and location of mutations with respect to PC modular structure directly corresponds to the efficacy of single agent treatments in silico, because topologically deep mutations require deep targets for control.","PeriodicalId":19345,"journal":{"name":"NPJ Systems Biology and Applications","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2024-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11246485/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141603990","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Benchmarking and integrating human B-cell receptor genomic and antibody proteomic profiling. 人类 B 细胞受体基因组和抗体蛋白质组剖析的基准和整合。

IF 3.5 2区生物学

NPJ Systems Biology and Applications Pub Date : 2024-07-12 DOI: 10.1038/s41540-024-00402-z

Khang Lê Quý, Maria Chernigovskaya, Maria Stensland, Sachin Singh, Jinwoo Leem, Santiago Revale, David A Yadin, Francesca L Nice, Chelsea Povall, Danielle H Minns, Jacob D Galson, Tuula A Nyman, Igor Snapkow, Victor Greiff

{"title":"Benchmarking and integrating human B-cell receptor genomic and antibody proteomic profiling.","authors":"Khang Lê Quý, Maria Chernigovskaya, Maria Stensland, Sachin Singh, Jinwoo Leem, Santiago Revale, David A Yadin, Francesca L Nice, Chelsea Povall, Danielle H Minns, Jacob D Galson, Tuula A Nyman, Igor Snapkow, Victor Greiff","doi":"10.1038/s41540-024-00402-z","DOIUrl":"10.1038/s41540-024-00402-z","url":null,"abstract":"Immunoglobulins (Ig), which exist either as B-cell receptors (BCR) on the surface of B cells or as antibodies when secreted, play a key role in the recognition and response to antigenic threats. The capability to jointly characterize the BCR and antibody repertoire is crucial for understanding human adaptive immunity. From peripheral blood, bulk BCR sequencing (bulkBCR-seq) currently provides the highest sampling depth, single-cell BCR sequencing (scBCR-seq) allows for paired chain characterization, and antibody peptide sequencing by tandem mass spectrometry (Ab-seq) provides information on the composition of secreted antibodies in the serum. Yet, it has not been benchmarked to what extent the datasets generated by these three technologies overlap and complement each other. To address this question, we isolated peripheral blood B cells from healthy human donors and sequenced BCRs at bulk and single-cell levels, in addition to utilizing publicly available sequencing data. Integrated analysis was performed on these datasets, resolved by replicates and across individuals. Simultaneously, serum antibodies were isolated, digested with multiple proteases, and analyzed with Ab-seq. Systems immunology analysis showed high concordance in repertoire features between bulk and scBCR-seq within individuals, especially when replicates were utilized. In addition, Ab-seq identified clonotype-specific peptides using both bulk and scBCR-seq library references, demonstrating the feasibility of combining scBCR-seq and Ab-seq for reconstructing paired-chain Ig sequences from the serum antibody repertoire. Collectively, our work serves as a proof-of-principle for combining bulk sequencing, single-cell sequencing, and mass spectrometry as complementary methods towards capturing humoral immunity in its entirety.","PeriodicalId":19345,"journal":{"name":"NPJ Systems Biology and Applications","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2024-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11245537/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141601066","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Computational gastronomy: capturing culinary creativity by making food computable. 计算美食：通过使食物可计算来捕捉烹饪创意。

IF 3.5 2区生物学

NPJ Systems Biology and Applications Pub Date : 2024-07-08 DOI: 10.1038/s41540-024-00399-5

Ganesh Bagler, Mansi Goel

{"title":"Computational gastronomy: capturing culinary creativity by making food computable.","authors":"Ganesh Bagler, Mansi Goel","doi":"10.1038/s41540-024-00399-5","DOIUrl":"10.1038/s41540-024-00399-5","url":null,"abstract":"Cooking, a quintessential creative pursuit, holds profound significance for individuals, communities, and civilizations. Food and cooking transcend mere sensory pleasure to influence nutrition and public health outcomes. Inextricably linked to culinary and cultural heritage, food systems play a pivotal role in sustainability and the survival of life on our planet. Computational Gastronomy is a novel approach for investigating food through a data-driven paradigm. It offers a systematic, rule-based understanding of culinary arts by scrutinizing recipes for taste, nutritional value, health implications, and environmental sustainability. Probing the art of cooking through the lens of computation will open up a new realm of possibilities for culinary creativity. Amidst the ongoing quest for imitating creativity through artificial intelligence, an interesting question would be, 'Can a machine think like a Chef?' Capturing the experience and creativity of a chef in an AI algorithm presents an exciting opportunity for generating a galaxy of hitherto unseen recipes with desirable culinary, flavor, nutrition, health, and carbon footprint profiles.","PeriodicalId":19345,"journal":{"name":"NPJ Systems Biology and Applications","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2024-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11231233/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141559356","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A comprehensive review of computational cell cycle models in guiding cancer treatment strategies. 全面评述用于指导癌症治疗策略的计算细胞周期模型。

IF 3.5 2区生物学

NPJ Systems Biology and Applications Pub Date : 2024-07-05 DOI: 10.1038/s41540-024-00397-7

Chenhui Ma, Evren Gurkan-Cavusoglu

{"title":"A comprehensive review of computational cell cycle models in guiding cancer treatment strategies.","authors":"Chenhui Ma, Evren Gurkan-Cavusoglu","doi":"10.1038/s41540-024-00397-7","DOIUrl":"10.1038/s41540-024-00397-7","url":null,"abstract":"This article reviews the current knowledge and recent advancements in computational modeling of the cell cycle. It offers a comparative analysis of various modeling paradigms, highlighting their unique strengths, limitations, and applications. Specifically, the article compares deterministic and stochastic models, single-cell versus population models, and mechanistic versus abstract models. This detailed analysis helps determine the most suitable modeling framework for various research needs. Additionally, the discussion extends to the utilization of these computational models to illuminate cell cycle dynamics, with a particular focus on cell cycle viability, crosstalk with signaling pathways, tumor microenvironment, DNA replication, and repair mechanisms, underscoring their critical roles in tumor progression and the optimization of cancer therapies. By applying these models to crucial aspects of cancer therapy planning for better outcomes, including drug efficacy quantification, drug discovery, drug resistance analysis, and dose optimization, the review highlights the significant potential of computational insights in enhancing the precision and effectiveness of cancer treatments. This emphasis on the intricate relationship between computational modeling and therapeutic strategy development underscores the pivotal role of advanced modeling techniques in navigating the complexities of cell cycle dynamics and their implications for cancer therapy.","PeriodicalId":19345,"journal":{"name":"NPJ Systems Biology and Applications","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11226463/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141538264","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0