کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6268567 1614633 2014 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Basic NeuroscienceQuantitative image analysis tool to study the plasma membrane localization of proteins and cortical actin in neuroendocrine cells
موضوعات مرتبط
علوم زیستی و بیوفناوری علم عصب شناسی علوم اعصاب (عمومی)
پیش نمایش صفحه اول مقاله
Basic NeuroscienceQuantitative image analysis tool to study the plasma membrane localization of proteins and cortical actin in neuroendocrine cells
چکیده انگلیسی


- Automated analysis algorithm for plasma membrane-associated fluorescent signals.
- Applicable to images acquired with confocal and super-resolution microscopy.
- Increased comparability between cells due to automated ROI detection.
- Improved colocalization analysis of membrane associated signals.
- Applicable to live cell imaging data.

BackgroundAdrenal chromaffin cells are a widely used model system to study regulated exocytosis and other membrane-associated processes. Alterations in the amount and localization of the proteins involved in these processes can be visualized with fluorescent probes that report the effect of different stimuli or genetic modifications. However, the quantitative analysis of such images remains difficult, especially when focused on specific locations, such as the plasma membrane.New methodWe developed an image analysis algorithm, named plasma membrane analysis in chromaffin cells (PlasMACC). PlasMACC enables automatic detection of the plasma membrane region and quantitative analysis of multi-fluorescent signals from spherical cells. PlasMACC runs in the image analysis software ImageJ environment, it is user-friendly and freely available.ResultsPlasMACC delivers detailed information about intensity, thickness and density of fluorescent signals at the plasma membrane of both living and fixed cells. Individual signals can be compared between cells and different signals within one cell can be correlated. PlasMACC can process conventional laser-scanning confocal images as well as data obtained by super-resolution methods such as structured illumination microscopy.Comparison with existing method(s)By comparing PlasMACC to methods currently used in the field, we show more consistent quantitative data due to the fully automated algorithm. PlasMACC also provides an expanded set of novel analysis parameters.ConclusionPlasMACC enables a detailed quantification of fluorescent signals at the plasma membrane of spherical cells in an unbiased and reliable fashion.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Neuroscience Methods - Volume 236, 30 October 2014, Pages 1-10
نویسندگان
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