ArticleScientific data2018
Time-lapse confocal imaging datasets to assess structural and dynamic properties of subcellular nanostructures.
Article in Scientific data, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Plasma Gelation as an Overlooked Determinant of Transfection Efficiency in Protein Corona-Coated Lipid Nanoparticles: Implications for In Vitro-In Vivo Translation.Advanced healthcare materials · 2026Article
- Structuring lipid nanoparticles, DNA, and protein corona into stealth bionanoarchitectures for in vivo gene delivery.Nature communications · 2024Article
- Efficient Delivery of DNA Using Lipid Nanoparticles.Pharmaceutics · 2022Article
- β-Cell Pathophysiology: A Review of Advanced Optical Microscopy Applications.International journal of molecular sciences · 2021Review
- Article
- Optimizing the Efficiency of a Cytocompatible Carbon-Dots-Based FRET Platform and Its Application as a Riboflavin Sensor in Beverages.Nanomaterials (Basel, Switzerland) · 2021Article
- Metabolic response of Insulinoma 1E cells to glucose stimulation studied by fluorescence lifetime imaging.FASEB bioAdvances · 2020Article
- Lysosome Dynamic Properties during Neuronal Stem Cell Differentiation Studied by Spatiotemporal Fluctuation Spectroscopy and Organelle Tracking.International journal of molecular sciences · 2020Article
- Insulin secretory granules labelled with phogrin-fluorescent proteins show alterations in size, mobility and responsiveness to glucose stimulation in living β-cells.Scientific reports · 2019Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Time-lapse optical microscopy datasets from living cells can potentially afford an enormous amount of quantitative information on the relevant structural and dynamic properties of sub-cellular organelles/structures, provided that both the spatial and temporal dimensions are properly sampled during the experiment. Here we provide exemplary live-cell, time-lapse confocal imaging datasets corresponding to three sub-cellular structures of the endo-lysosomal pathway, i.e. early endosomes, late endosomes and lysosomes, along with detailed guidelines to produce analogous experiments. Validation of the datasets is conducted by means of established analytical tools to extract the structural and dynamic properties at the sub-cellular scale, such as Single Particle Tracking (SPT) and imaging derived Mean Square Displacement (iMSD) analyses. In our aim, the present work would help other researchers in the field to reuse the provided datasets for their own scopes, and to combine their creative approaches/analyses to similar acquisitions.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.