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Tandem Tag Assay Optimized for Semi-automated in vivo Autophagic Activity Measurement in Arabidopsis thaliana roots.

Dauphinee AN, Ohlsson JA, Minina EA.

Bio-protocol · 5 Mar 2020 · 10.21769/bioprotoc.3535

Abstract

Autophagy is the main catabolic process in eukaryotes and plays a key role in cell homeostasis. In vivo measurement of autophagic activity (flux) is a powerful tool for investigating the role of the pathway in organism development and stress responses. Here we describe a significant optimization of the tandem tag assay for detection of autophagic flux in planta in epidermal root cells of Arabidopsis thaliana seedlings. The tandem tag consists of TagRFP and mWasabi fluorescent proteins fused to ATG8a, and is expressed in wildtype or autophagy-deficient backgrounds to obtain reporter and control lines, respectively. Upon autophagy activation, the TagRFP-mWasabi-ATG8a fusion protein is incorporated into autophagosomes and delivered to the lytic vacuole. Ratiometric quantification of the low pH-tolerant TagRFP and low pH-sensitive mWasabi fluorescence in the vacuoles of control and reporter lines allows for a reliable estimation of autophagic activity. We provide a step by step protocol for plant growth, imaging and semi-automated data analysis. The protocol presents a rapid and robust method that can be applied for any studies requiring in planta quantification of autophagic flux.

Code and data availability

The paper's semi-automated autophagic flux analysis pipeline (ImageJ macros and R scripts) is publicly available in the authors' AuTToFlux GitHub repository, which also contains demo data for validating the analysis.

Codepublic

20-22 °C, 50-70% humidity, 150 µM light Confocal Laser Scanning Microscope (CLSM; Zeiss, LSM 800) Software Fiji, the version of ImageJ with included set of plugins ( https://fiji.sc/ , for this study, we utilized versions 1.51s and 2.0.0-rc-69/1.52i). AuTToFlux repository containing three ImageJ macro and three R script files ( https://github.com/jonasoh/AuTToFlux/archive/master.zip ): CalibrateThreshold.ijm ImageProcessor.ijm FluorescenceIntensity.ijm EvaluateCalibration.R Control-vs-Reporter.R Flux-vs-Time.R R ( https://www.r-project.org , we used 3.5.2 and 3.5.1) RStudio ( https://www.rstudio.com/ , we used versions 1.1.453 and 1.2.1186). Git ( https://git-scm.com/downloads , we used

Open resource ↗jonasoh/AuTToFlux · lines:121-191