Journal of cell science最新文献_第4页

Imaging cell architecture and dynamics. 细胞结构和动态成像

IF 3.3 3区生物学

Journal of cell science Pub Date : 2024-10-15 Epub Date: 2024-10-30 DOI: 10.1242/jcs.263575

Lucy Collinson, Guillaume Jacquemet

引用次数: 0

Expanding the field of view - a simple approach for interactive visualisation of electron microscopy data. 扩大视野：电子显微镜数据交互可视化的简单方法。

IF 3.3 3区生物学

Journal of cell science Pub Date : 2024-10-15 Epub Date: 2024-10-23 DOI: 10.1242/jcs.262198

Jens Wohlmann

{"title":"Expanding the field of view - a simple approach for interactive visualisation of electron microscopy data.","authors":"Jens Wohlmann","doi":"10.1242/jcs.262198","DOIUrl":"10.1242/jcs.262198","url":null,"abstract":"The unparalleled resolving power of electron microscopy is both a blessing and a curse. At 30,000× magnification, 1 µm corresponds to 3 cm in the image and the field of view is only a few micrometres or less, resulting in an inevitable reduction in the spatial data available in an image. Consequently, the gain in resolution is at the cost of loss of the contextual 'reference space', which is crucial for understanding the embedded structures of interest. This problem is particularly pronounced in immunoelectron microscopy, where the detection of a gold particle is crucial for the localisation of specific molecules. The common solution of presenting high-magnification and overview images side by side often insufficiently represents the cellular environment. To address these limitations, we propose here an interactive visualization strategy inspired by digital maps and GPS modules which enables seamless transitions between different magnifications by dynamically linking virtual low magnification overview images with primary high-resolution data. By enabling dynamic browsing, it offers the potential for a deeper understanding of cellular landscapes leading to more comprehensive analysis of the primary ultrastructural data.","PeriodicalId":15227,"journal":{"name":"Journal of cell science","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2024-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11529876/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142347445","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Cell-cell junctions in focus - imaging junctional architectures and dynamics at high resolution. 聚焦细胞-细胞连接--高分辨率成像连接结构和动态。

IF 3.3 3区生物学

Journal of cell science Pub Date : 2024-10-15 Epub Date: 2024-10-31 DOI: 10.1242/jcs.262041

Vera Janssen, Stephan Huveneers

引用次数: 0

A novel 3D imaging approach for quantification of GLUT4 levels across the intact myocardium. 用于量化完整心肌中 GLUT4 水平的新型三维成像方法。

IF 3.3 3区生物学

Journal of cell science Pub Date : 2024-10-15 Epub Date: 2024-08-05 DOI: 10.1242/jcs.262146

Angéline Geiser, Susan Currie, Hadi Al-Hasani, Alexandra Chadt, Gail McConnell, Gwyn W Gould

{"title":"A novel 3D imaging approach for quantification of GLUT4 levels across the intact myocardium.","authors":"Angéline Geiser, Susan Currie, Hadi Al-Hasani, Alexandra Chadt, Gail McConnell, Gwyn W Gould","doi":"10.1242/jcs.262146","DOIUrl":"10.1242/jcs.262146","url":null,"abstract":"Cellular heterogeneity is a well-accepted feature of tissues, and both transcriptional and metabolic diversity have been revealed by numerous approaches, including optical imaging. However, the high magnification objective lenses needed for high-resolution imaging provides information from only small layers of tissue, which can result in poor cell statistics. There is therefore an unmet need for an imaging modality that can provide detailed molecular and cellular insight within intact tissue samples in 3D. Using GFP-tagged GLUT4 as proof of concept, we present here a novel optical mesoscopy approach that allows precise measurement of the spatial location of GLUT4 within specific anatomical structures across the myocardium in ultrathick sections (5 mm×5 mm×3 mm) of intact mouse heart. We reveal distinct GLUT4 distribution patterns across cardiac walls and highlight specific changes in GLUT4 expression levels in response to high fat diet-feeding, and we identify sex-dependent differences in expression patterns. This method is applicable to any target that can be labelled for light microscopy, and to other complex tissues when organ structure needs to be considered simultaneously with cellular detail.","PeriodicalId":15227,"journal":{"name":"Journal of cell science","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2024-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141492071","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

Ultrastructural analysis of whole glomeruli using array tomography. 利用阵列断层扫描对整个肾小球进行超微结构分析。

IF 3.3 3区生物学

Journal of cell science Pub Date : 2024-10-15 Epub Date: 2024-10-11 DOI: 10.1242/jcs.262154

Takayuki Miyaki, Nozomi Homma, Yuto Kawasaki, Mami Kishi, Junji Yamaguchi, Soichiro Kakuta, Tomoko Shindo, Makoto Sugiura, Juan Alejandro Oliva Trejo, Hisako Kaneda, Takuya Omotehara, Masaki Takechi, Takako Negishi-Koga, Muneaki Ishijima, Kazushi Aoto, Sachiko Iseki, Kosuke Kitamura, Satoru Muto, Mao Amagasa, Shiori Hotchi, Kanako Ogura, Shinsuke Shibata, Tatsuo Sakai, Yusuke Suzuki, Koichiro Ichimura

{"title":"Ultrastructural analysis of whole glomeruli using array tomography.","authors":"Takayuki Miyaki, Nozomi Homma, Yuto Kawasaki, Mami Kishi, Junji Yamaguchi, Soichiro Kakuta, Tomoko Shindo, Makoto Sugiura, Juan Alejandro Oliva Trejo, Hisako Kaneda, Takuya Omotehara, Masaki Takechi, Takako Negishi-Koga, Muneaki Ishijima, Kazushi Aoto, Sachiko Iseki, Kosuke Kitamura, Satoru Muto, Mao Amagasa, Shiori Hotchi, Kanako Ogura, Shinsuke Shibata, Tatsuo Sakai, Yusuke Suzuki, Koichiro Ichimura","doi":"10.1242/jcs.262154","DOIUrl":"10.1242/jcs.262154","url":null,"abstract":"The renal glomerulus produces primary urine from blood plasma by ultrafiltration. The ultrastructure of the glomerulus is closely related to filtration function and disease development. The ultrastructure of glomeruli has mainly been evaluated using transmission electron microscopy; however, the volume that can be observed using transmission electron microscopy is extremely limited relative to the total volume of the glomerulus. Consequently, observing structures that exist in only one location in each glomerulus, such as the vascular pole, and evaluating low-density or localized lesions are challenging tasks. Array tomography (AT) is a technique used to analyze the ultrastructure of tissues and cells via scanning electron microscopy of serial sections. In this study, we present an AT workflow that is optimized for observing complete serial sections of the whole glomerulus, and we share several analytical examples that use the optimized AT workflow, demonstrating the usefulness of this approach. Overall, this AT workflow can be a powerful tool for structural and pathological evaluation of the glomerulus. This workflow is also expected to provide new insights into the ultrastructure of the glomerulus and its constituent cells.","PeriodicalId":15227,"journal":{"name":"Journal of cell science","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2024-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142017583","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

Correlative microscopy - illuminating the endomembrane system of plant seeds. 相关显微镜：照亮植物种子的内膜系统

IF 3.3 3区生物学

Journal of cell science Pub Date : 2024-10-15 Epub Date: 2024-10-29 DOI: 10.1242/jcs.262251

Sonja Huber, Ulrike Hörmann-Dietrich, Eszter Kapusi, Eva Stöger, Elsa Arcalís

引用次数: 0

Myosin II tension sensors visualize force generation within the actin cytoskeleton in living cells. 肌球蛋白 II 张力传感器可视化活细胞中肌动蛋白细胞骨架内产生的力。

IF 3.3 3区生物学

Journal of cell science Pub Date : 2024-10-15 Epub Date: 2024-10-30 DOI: 10.1242/jcs.262281

Ryan G Hart, Divya Kota, Fangjia Li, Mengdi Zhang, Diego Ramallo, Andrew J Price, Karla L Otterpohl, Steve J Smith, Alexander R Dunn, Mark O Huising, Jing Liu, Indra Chandrasekar

引用次数: 0

Immuno-scanning electron microscopy of islet primary cilia. 胰岛初级纤毛的免疫扫描电子显微镜。

IF 3.3 3区生物学

Journal of cell science Pub Date : 2024-10-15 Epub Date: 2024-05-28 DOI: 10.1242/jcs.262038

Sanja Sviben, Alexander J Polino, Isabella L Melena, Jing W Hughes

引用次数: 0

VISION - an open-source software for automated multi-dimensional image analysis of cellular biophysics. VISION - 用于细胞生物物理学多维图像自动分析的开源软件。

IF 3.3 3区生物学

Journal of cell science Pub Date : 2024-10-15 Epub Date: 2024-10-23 DOI: 10.1242/jcs.262166

Florian Weber, Sofiia Iskrak, Franziska Ragaller, Jan Schlegel, Birgit Plochberger, Erdinc Sezgin, Luca A Andronico

{"title":"VISION - an open-source software for automated multi-dimensional image analysis of cellular biophysics.","authors":"Florian Weber, Sofiia Iskrak, Franziska Ragaller, Jan Schlegel, Birgit Plochberger, Erdinc Sezgin, Luca A Andronico","doi":"10.1242/jcs.262166","DOIUrl":"10.1242/jcs.262166","url":null,"abstract":"Environment-sensitive probes are frequently used in spectral and multi-channel microscopy to study alterations in cell homeostasis. However, the few open-source packages available for processing of spectral images are limited in scope. Here, we present VISION, a stand-alone software based on Python for spectral analysis with improved applicability. In addition to classical intensity-based analysis, our software can batch-process multidimensional images with an advanced single-cell segmentation capability and apply user-defined mathematical operations on spectra to calculate biophysical and metabolic parameters of single cells. VISION allows for 3D and temporal mapping of properties such as membrane fluidity and mitochondrial potential. We demonstrate the broad applicability of VISION by applying it to study the effect of various drugs on cellular biophysical properties. the correlation between membrane fluidity and mitochondrial potential, protein distribution in cell-cell contacts and properties of nanodomains in cell-derived vesicles. Together with the code, we provide a graphical user interface for easy adoption.","PeriodicalId":15227,"journal":{"name":"Journal of cell science","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2024-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11529879/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142288106","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Machine learning in microscopy - insights, opportunities and challenges. 显微镜中的机器学习--见解、机遇与挑战。

IF 3.3 3区生物学

Journal of cell science Pub Date : 2024-10-15 Epub Date: 2024-10-28 DOI: 10.1242/jcs.262095

Inês Cunha, Emma Latron, Sebastian Bauer, Daniel Sage, Juliette Griffié

引用次数: 0