Pub Date : 2025-12-31DOI: 10.1016/j.xpro.2025.104308
Miao Guan, Kewei Li, Xianglong Liu, Xiaoliang Li, Zhenlong Sun
Here, we present a protocol for quantitatively assessing the microstructure of nuclear fiber layers by immunolabeling of a nuclear skeleton protein lamin A through structured illumination microscopy (SIM) coupled with an innovative algorithm in Arivis 4D. We describe steps of sample preprocessing for SIM and imaging of the inner-nucleus skeleton network of lamin A. We then detail procedures for creating a novel algorithm in Arivis 4D software to quantitatively assess the microparameters of the nuclear skeleton in a high-resolution image.
{"title":"Protocol for analyzing the microstructure of nuclear fiber layers by using structured illumination microscopy coupled with Arivis 4D.","authors":"Miao Guan, Kewei Li, Xianglong Liu, Xiaoliang Li, Zhenlong Sun","doi":"10.1016/j.xpro.2025.104308","DOIUrl":"10.1016/j.xpro.2025.104308","url":null,"abstract":"<p><p>Here, we present a protocol for quantitatively assessing the microstructure of nuclear fiber layers by immunolabeling of a nuclear skeleton protein lamin A through structured illumination microscopy (SIM) coupled with an innovative algorithm in Arivis 4D. We describe steps of sample preprocessing for SIM and imaging of the inner-nucleus skeleton network of lamin A. We then detail procedures for creating a novel algorithm in Arivis 4D software to quantitatively assess the microparameters of the nuclear skeleton in a high-resolution image.</p>","PeriodicalId":34214,"journal":{"name":"STAR Protocols","volume":"7 1","pages":"104308"},"PeriodicalIF":1.3,"publicationDate":"2025-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12804358/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145890162","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-29DOI: 10.1016/j.xpro.2025.104317
Jakub Bunk, Drishti Soni, Matthias Calderon, Bozena Samborska, Lawrence Kazak
Adeno-associated viruses (AAVs) are versatile, non-integrating vectors for in vivo gene delivery. We present a reproducible workflow for generating Cre-dependent FLEX-AAVs, quantifying viral titer, and performing localized injections for cell-type-specific transgene expression in mice. The protocol also details the assessment of thermogenic capacity in genetically modified brown adipocytes using Clark-type electrode respirometry. For complete details on the use and execution of this protocol, please refer to Bunk et al.1.
腺相关病毒(aav)是一种多用途的非整合载体,用于体内基因传递。我们提出了一种可重复的工作流程,用于生成cre依赖的flex - aav,定量病毒滴度,并在小鼠中进行细胞类型特异性转基因表达的局部注射。该方案还详细评估了产热能力在转基因棕色脂肪细胞使用克拉克型电极呼吸计。有关本协议使用和执行的完整细节,请参考Bunk et al.1。
{"title":"Protocol for targeted gene manipulation and thermogenic evaluation in mouse brown adipocytes.","authors":"Jakub Bunk, Drishti Soni, Matthias Calderon, Bozena Samborska, Lawrence Kazak","doi":"10.1016/j.xpro.2025.104317","DOIUrl":"10.1016/j.xpro.2025.104317","url":null,"abstract":"<p><p>Adeno-associated viruses (AAVs) are versatile, non-integrating vectors for in vivo gene delivery. We present a reproducible workflow for generating Cre-dependent FLEX-AAVs, quantifying viral titer, and performing localized injections for cell-type-specific transgene expression in mice. The protocol also details the assessment of thermogenic capacity in genetically modified brown adipocytes using Clark-type electrode respirometry. For complete details on the use and execution of this protocol, please refer to Bunk et al.<sup>1</sup>.</p>","PeriodicalId":34214,"journal":{"name":"STAR Protocols","volume":"7 1","pages":"104317"},"PeriodicalIF":1.3,"publicationDate":"2025-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12803982/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145879122","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-29DOI: 10.1016/j.xpro.2025.103990
Ines Velazquez-Quesada, Kara Allison, Vahid Alizadeh, Erkan Tüzel, Bojana Gligorijevic
The device for axon and cancer cell interaction testing (DACIT) mimics neuron-cancer interactions by compartmentalizing neuron soma and axons. Here, we present a protocol to design, fabricate, load, and image the DACIT. We describe steps for DACIT master generation, smooth-on mold replication, and DACIT fabrication. We then detail procedures for cell loading in 2D and 3D settings. This protocol also includes custom 3D-printed imaging holders. For complete details on the use and execution of this protocol, please refer to Velazquez-Quesada et al.1.
{"title":"Protocol for fabrication and utilization of the device for axon-cancer cell interaction testing.","authors":"Ines Velazquez-Quesada, Kara Allison, Vahid Alizadeh, Erkan Tüzel, Bojana Gligorijevic","doi":"10.1016/j.xpro.2025.103990","DOIUrl":"10.1016/j.xpro.2025.103990","url":null,"abstract":"<p><p>The device for axon and cancer cell interaction testing (DACIT) mimics neuron-cancer interactions by compartmentalizing neuron soma and axons. Here, we present a protocol to design, fabricate, load, and image the DACIT. We describe steps for DACIT master generation, smooth-on mold replication, and DACIT fabrication. We then detail procedures for cell loading in 2D and 3D settings. This protocol also includes custom 3D-printed imaging holders. For complete details on the use and execution of this protocol, please refer to Velazquez-Quesada et al.<sup>1</sup>.</p>","PeriodicalId":34214,"journal":{"name":"STAR Protocols","volume":"7 1","pages":"103990"},"PeriodicalIF":1.3,"publicationDate":"2025-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12804042/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145865383","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-29DOI: 10.1016/j.xpro.2025.104300
Sarah J Harmych, Thomas P Hasaka, Vivian Truong Jones, Joshua A Bauer, Bhuminder Singh
Growth of cells in 3D cultures can more accurately predict in vivo behavior than the traditional 2D culture system, which lacks the complex environment of natural tissue. In this protocol, we provide steps to generate 3D collagen cultures in a 384-well format suited for high-throughput drug screens. We also detail our use of this protocol to assess morphological changes to 3D colonies of SC colorectal cancer cells, which serve as a robust readout for drug response. For complete details on the use and execution of this protocol, please refer to Harmych et al.1.
{"title":"Protocol for high-throughput drug screening in 384-well 3D collagen cultures of SC colorectal cancer cells using colony morphology as a readout.","authors":"Sarah J Harmych, Thomas P Hasaka, Vivian Truong Jones, Joshua A Bauer, Bhuminder Singh","doi":"10.1016/j.xpro.2025.104300","DOIUrl":"10.1016/j.xpro.2025.104300","url":null,"abstract":"<p><p>Growth of cells in 3D cultures can more accurately predict in vivo behavior than the traditional 2D culture system, which lacks the complex environment of natural tissue. In this protocol, we provide steps to generate 3D collagen cultures in a 384-well format suited for high-throughput drug screens. We also detail our use of this protocol to assess morphological changes to 3D colonies of SC colorectal cancer cells, which serve as a robust readout for drug response. For complete details on the use and execution of this protocol, please refer to Harmych et al.<sup>1</sup>.</p>","PeriodicalId":34214,"journal":{"name":"STAR Protocols","volume":"7 1","pages":"104300"},"PeriodicalIF":1.3,"publicationDate":"2025-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12803829/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145865311","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-27DOI: 10.1016/j.xpro.2025.104303
Maxime Teixeira, Dylan Musiol, Jean-Philippe Lambert, Abid Oueslati
The dynamics of the early steps of protein aggregation remain poorly understood, particularly in the case of α-synuclein (α-syn) aggregation, the hallmark of synucleinopathies. Here, we present a protocol that combines light-inducible protein aggregation (LIPA) with proximity biotinylation using an UltraID construct. We describe the workflow from protein expression to biochemical validation, including the purification of biotinylated proteins prior to liquid chromatography-mass spectrometry (LC-MS) analysis and subsequent validation. This platform provides a powerful strategy to identify proteins interacting with nascent α-syn aggregates. For complete details on the use and execution of this protocol, please refer to Teixeira et al.1.
{"title":"Protocol for dissecting the aggregation-prone protein interactome with optogenetic-induced aggregation and biotin labeling proximity assay.","authors":"Maxime Teixeira, Dylan Musiol, Jean-Philippe Lambert, Abid Oueslati","doi":"10.1016/j.xpro.2025.104303","DOIUrl":"10.1016/j.xpro.2025.104303","url":null,"abstract":"<p><p>The dynamics of the early steps of protein aggregation remain poorly understood, particularly in the case of α-synuclein (α-syn) aggregation, the hallmark of synucleinopathies. Here, we present a protocol that combines light-inducible protein aggregation (LIPA) with proximity biotinylation using an UltraID construct. We describe the workflow from protein expression to biochemical validation, including the purification of biotinylated proteins prior to liquid chromatography-mass spectrometry (LC-MS) analysis and subsequent validation. This platform provides a powerful strategy to identify proteins interacting with nascent α-syn aggregates. For complete details on the use and execution of this protocol, please refer to Teixeira et al.<sup>1</sup>.</p>","PeriodicalId":34214,"journal":{"name":"STAR Protocols","volume":"7 1","pages":"104303"},"PeriodicalIF":1.3,"publicationDate":"2025-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12803804/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145850877","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-27DOI: 10.1016/j.xpro.2025.104029
Sissi Dolci, Marzia Di Chio, Giuseppe Busetto, Francesco Bifari, Ilaria Decimo
Complete spinal cord injury (SCI) leads to irreversible neurological damage due to failed neural repair, with no effective therapies currently available. Here, we present a protocol to induce severe contusive-compressive SCI at thoracic T11 level in mouse using the NYU-MASCIS II impactor. We describe steps for performing laminectomy, inducing the injury, and validating it through functional and histological analysis. This protocol replicates key aspects of human secondary injury, making it valuable for preclinical testing of SCI therapies.
{"title":"Protocol to develop a preclinical severe contusive-compressive SCI mouse model for translational research.","authors":"Sissi Dolci, Marzia Di Chio, Giuseppe Busetto, Francesco Bifari, Ilaria Decimo","doi":"10.1016/j.xpro.2025.104029","DOIUrl":"10.1016/j.xpro.2025.104029","url":null,"abstract":"<p><p>Complete spinal cord injury (SCI) leads to irreversible neurological damage due to failed neural repair, with no effective therapies currently available. Here, we present a protocol to induce severe contusive-compressive SCI at thoracic T11 level in mouse using the NYU-MASCIS II impactor. We describe steps for performing laminectomy, inducing the injury, and validating it through functional and histological analysis. This protocol replicates key aspects of human secondary injury, making it valuable for preclinical testing of SCI therapies.</p>","PeriodicalId":34214,"journal":{"name":"STAR Protocols","volume":"7 1","pages":"104029"},"PeriodicalIF":1.3,"publicationDate":"2025-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12803807/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145850942","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-27DOI: 10.1016/j.xpro.2025.104277
Mara S Burns, Ricardo Miramontes, John C Reidling, Ryan G Lim, Leslie M Thompson
Understanding changes in gene expression and cell-cell signaling among spatial regions in diseased tissues adds critical biological information to understanding mechanisms. Here, we present a protocol to investigate molecular transcriptional drivers within intact murine tissue using 10× Genomics Visium spatial transcriptomics and 10× Genomics FLEX single-cell RNA sequencing (scRNA-seq) data. We describe steps for collecting mouse brain tissue from multiple ages, processing samples, and mounting the tissue. We then detail procedures for staining, FLEX tissue section collection, fixation, dissociation, and cell storage. For complete details on the use and execution of this protocol, please refer to Burns et al.1.
{"title":"Protocol to evaluate mouse brain spatial cell type-resolved transcriptomic discoveries using 10× Visium spatial transcriptomics and FLEX scRNA-seq.","authors":"Mara S Burns, Ricardo Miramontes, John C Reidling, Ryan G Lim, Leslie M Thompson","doi":"10.1016/j.xpro.2025.104277","DOIUrl":"10.1016/j.xpro.2025.104277","url":null,"abstract":"<p><p>Understanding changes in gene expression and cell-cell signaling among spatial regions in diseased tissues adds critical biological information to understanding mechanisms. Here, we present a protocol to investigate molecular transcriptional drivers within intact murine tissue using 10× Genomics Visium spatial transcriptomics and 10× Genomics FLEX single-cell RNA sequencing (scRNA-seq) data. We describe steps for collecting mouse brain tissue from multiple ages, processing samples, and mounting the tissue. We then detail procedures for staining, FLEX tissue section collection, fixation, dissociation, and cell storage. For complete details on the use and execution of this protocol, please refer to Burns et al.<sup>1</sup>.</p>","PeriodicalId":34214,"journal":{"name":"STAR Protocols","volume":"7 1","pages":"104277"},"PeriodicalIF":1.3,"publicationDate":"2025-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12803812/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145850961","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-26DOI: 10.1016/j.xpro.2025.104252
Georgy Komissarov, Kriti Pandey, Nicholas D Nolan, Thomas Winogrodzki, Daniel T Hass, Aykut Demirkol, Brian M Robbings, James B Hurley, Stephen H Tsang
Here, we present a protocol for evaluating glucose metabolism in mouse retinas and retinal pigment epithelium (RPE)-choroid tissue by tracking the incorporation of 13C6 from U-13C6-glucose with gas chromatography-mass spectrometry (GC-MS). We describe steps for incubating tissues in Krebs-Ringer bicarbonate solution and homogenizing tissues. We then detail procedures for extracting metabolites and determining isotopic labeling of intermediates in glycolysis and the tricarboxylic acid (TCA) cycle using GC-MS. The approach has been adapted to study glucose metabolism in various tissues, animal models, and genetic conditions. For complete details on the use and execution of this protocol, please refer to Nolan et al.1.
{"title":"Protocol to assess retinal metabolic flux of mice via stable isotope-resolved metabolomics.","authors":"Georgy Komissarov, Kriti Pandey, Nicholas D Nolan, Thomas Winogrodzki, Daniel T Hass, Aykut Demirkol, Brian M Robbings, James B Hurley, Stephen H Tsang","doi":"10.1016/j.xpro.2025.104252","DOIUrl":"10.1016/j.xpro.2025.104252","url":null,"abstract":"<p><p>Here, we present a protocol for evaluating glucose metabolism in mouse retinas and retinal pigment epithelium (RPE)-choroid tissue by tracking the incorporation of <sup>13</sup>C<sub>6</sub> from U-<sup>13</sup>C<sub>6</sub>-glucose with gas chromatography-mass spectrometry (GC-MS). We describe steps for incubating tissues in Krebs-Ringer bicarbonate solution and homogenizing tissues. We then detail procedures for extracting metabolites and determining isotopic labeling of intermediates in glycolysis and the tricarboxylic acid (TCA) cycle using GC-MS. The approach has been adapted to study glucose metabolism in various tissues, animal models, and genetic conditions. For complete details on the use and execution of this protocol, please refer to Nolan et al.<sup>1</sup>.</p>","PeriodicalId":34214,"journal":{"name":"STAR Protocols","volume":"7 1","pages":"104252"},"PeriodicalIF":1.3,"publicationDate":"2025-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12796725/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145850897","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-26DOI: 10.1016/j.xpro.2025.104298
Jackson B Trotman, Shuang Li, Quinn E Eberhard, Zhiyue Zhang, J Mauro Calabrese
RNA-protein interactions drive gene regulation, subcellular organization, and noncoding RNA function. Here, we present a protocol for measuring RNA-protein associations in formaldehyde-crosslinked mammalian cells using RNA immunoprecipitation followed by sequencing (RIP-seq) and quantitative PCR (RIP-qPCR). We include steps and best practices for qualifying reagents, preparing cells, and processing and analyzing data, including a standardized set of steps to quantify signal over noise. This protocol is broadly applicable for the study of RNA-protein interactions in cells. For complete details on the use and execution of this protocol, please refer to Trotman et al.1.
{"title":"Protocol for evaluating RNA-protein associations in mammalian cells with RIP-seq and RIP-qPCR.","authors":"Jackson B Trotman, Shuang Li, Quinn E Eberhard, Zhiyue Zhang, J Mauro Calabrese","doi":"10.1016/j.xpro.2025.104298","DOIUrl":"10.1016/j.xpro.2025.104298","url":null,"abstract":"<p><p>RNA-protein interactions drive gene regulation, subcellular organization, and noncoding RNA function. Here, we present a protocol for measuring RNA-protein associations in formaldehyde-crosslinked mammalian cells using RNA immunoprecipitation followed by sequencing (RIP-seq) and quantitative PCR (RIP-qPCR). We include steps and best practices for qualifying reagents, preparing cells, and processing and analyzing data, including a standardized set of steps to quantify signal over noise. This protocol is broadly applicable for the study of RNA-protein interactions in cells. For complete details on the use and execution of this protocol, please refer to Trotman et al.<sup>1</sup>.</p>","PeriodicalId":34214,"journal":{"name":"STAR Protocols","volume":"7 1","pages":"104298"},"PeriodicalIF":1.3,"publicationDate":"2025-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12796723/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145846951","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-26DOI: 10.1016/j.xpro.2025.104296
Kevin Bigott, Victoria H Schoppel, Manuel Martinez-Osuna, Leon Osinski, Marie-Catherine Tiveron, Daniel Barleben, Simon F Bornemann, Harold Cremer, Christoph Herbel, Andreas Bosio, Melanie Jungblut
Spatial analysis of cells and their microenvironment within tissues enhances our understanding of biological processes. Ideally, a broad range of biomolecules should be analyzed in large 3D tissue specimens at subcellular resolution. Here, we present a protocol to identify and extract target sections from previously cleared tissues. We describe steps for combining 3D light sheet imaging and subsequent 3D-guided deep cell phenotyping via multi-cyclic 2D microscopy.
{"title":"Protocol for 3D-guided sectioning and deep cell phenotyping via light sheet imaging and 2D spatial multiplexing.","authors":"Kevin Bigott, Victoria H Schoppel, Manuel Martinez-Osuna, Leon Osinski, Marie-Catherine Tiveron, Daniel Barleben, Simon F Bornemann, Harold Cremer, Christoph Herbel, Andreas Bosio, Melanie Jungblut","doi":"10.1016/j.xpro.2025.104296","DOIUrl":"10.1016/j.xpro.2025.104296","url":null,"abstract":"<p><p>Spatial analysis of cells and their microenvironment within tissues enhances our understanding of biological processes. Ideally, a broad range of biomolecules should be analyzed in large 3D tissue specimens at subcellular resolution. Here, we present a protocol to identify and extract target sections from previously cleared tissues. We describe steps for combining 3D light sheet imaging and subsequent 3D-guided deep cell phenotyping via multi-cyclic 2D microscopy.</p>","PeriodicalId":34214,"journal":{"name":"STAR Protocols","volume":"7 1","pages":"104296"},"PeriodicalIF":1.3,"publicationDate":"2025-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12796729/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145850825","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}