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Peroxisome Motility Measurement and Quantification Assay.

ABSTRACT: Organelle movement, distribution and interaction contribute to the organisation of the eukaryotic cell. Peroxisomes are multifunctional organelles which contribute to cellular lipid metabolism and ROS homeostasis. They distribute uniformly in mammalian cells and move along microtubules via kinesin and dynein motors. Their metabolic cooperation with mitochondria and the endoplasmic reticulum (ER) is essential for the ?-oxidation of fatty acids and the synthesis of myelin lipids and polyunsaturated fatty acids. A key assay to assess peroxisome motility in mammalian cells is the expression of a fluorescent fusion protein with a peroxisomal targeting signal (e.g., GFP-PTS1), which targets the peroxisomal matrix and allows live-cell imaging of peroxisomes. Here, we first present a protocol for the transfection of cultured mammalian cells with the peroxisomal marker EGFP-SKL to observe peroxisomes in living cells. This approach has revealed different motile behaviour of peroxisomes and novel insight into peroxisomal membrane dynamics (Rapp et al., 1996; Wiemer et al., 1997; Schrader et al., 2000). We then present a protocol which combines the live-cell approach with peroxisome motility measurements and quantification of peroxisome dynamics in mammalian cells. More recently, we used this approach to demonstrate that peroxisome motility and displacement is increased when a molecular tether, which associates peroxisomes with the ER, is lost (Costello et al., 2017b). Silencing of the peroxisomal acyl-CoA binding domain protein ACBD5, which interacts with ER-localised VAPB, increased peroxisome movement in skin fibroblasts, indicating that membrane contact sites can modulate organelle distribution and motility. The protocols described can be adapted to other cell types and organelles to measure and quantify organelle movement under different experimental conditions.

SUBMITTER: Metz J

PROVIDER: S-EPMC5603274 | biostudies-literature | 2017 Sep

REPOSITORIES: biostudies-literature

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Peroxisome Motility Measurement and Quantification Assay.

Metz Jeremy J Castro Inês G IG Schrader Michael M

Bio-protocol 20170901 17

Organelle movement, distribution and interaction contribute to the organisation of the eukaryotic cell. Peroxisomes are multifunctional organelles which contribute to cellular lipid metabolism and ROS homeostasis. They distribute uniformly in mammalian cells and move along microtubules via kinesin and dynein motors. Their metabolic cooperation with mitochondria and the endoplasmic reticulum (ER) is essential for the β-oxidation of fatty acids and the synthesis of myelin lipids and polyunsaturate ...[more]

PMID: 28936467

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Project description:BackgroundTime-lapse microscopic imaging provides a powerful approach for following changes in cell phenotype over time. Visible responses of whole cells can yield insight into functional changes that underlie physiological processes in health and disease. For example, features of cell motility accompany molecular changes that are central to the immune response, to carcinogenesis and metastasis, to wound healing and tissue regeneration, and to the myriad developmental processes that generate an organism. Previously reported image processing methods for motility analysis required custom viewing devices and manual interactions that may introduce bias, that slow throughput, and that constrain the scope of experiments in terms of the number of treatment variables, time period of observation, replication and statistical options. Here we describe a fully automated system in which images are acquired 24/7 from 384 well plates and are automatically processed to yield high-content motility and morphological data.ResultsWe have applied this technology to study the effects of different extracellular matrix compounds on human osteoblast-like cell lines to explore functional changes that may underlie processes involved in bone formation and maintenance. We show dose-response and kinetic data for induction of increased motility by laminin and collagen type I without significant effects on growth rate. Differential motility response was evident within 4 hours of plating cells; long-term responses differed depending upon cell type and surface coating. Average velocities were increased approximately 0.1 microm/min by ten-fold increases in laminin coating concentration in some cases. Comparison with manual tracking demonstrated the accuracy of the automated method and highlighted the comparative imprecision of human tracking for analysis of cell motility data. Quality statistics are reported that associate with stage noise, interference by non-cell objects, and uncertainty in the outlining and positioning of cells by automated image analysis. Exponential growth, as monitored by total cell area, did not linearly correlate with absolute cell number, but proved valuable for selection of reliable tracking data and for disclosing between-experiment variations in cell growth.ConclusionThese results demonstrate the applicability of a system that uses fully automated image acquisition and analysis to study cell motility and growth. Cellular motility response is determined in an unbiased and comparatively high throughput manner. Abundant ancillary data provide opportunities for uniform filtering according to criteria that select for biological relevance and for providing insight into features of system performance. Data quality measures have been developed that can serve as a basis for the design and quality control of experiments that are facilitated by automation and the 384 well plate format. This system is applicable to large-scale studies such as drug screening and research into effects of complex combinations of factors and matrices on cell phenotype.

Dataset Information

Peroxisome Motility Measurement and Quantification Assay.

Publications

Peroxisome Motility Measurement and Quantification Assay.

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