Making Cytometry of Reaction Rate Constant (CRRC) Applicable to Motile Cells

21 April 2022, Version 1
This content is a preprint and has not undergone peer review at the time of posting.

Abstract

Cytometry of Reaction Rate Constant (CRRC) is a method for studying heterogeneity of cell populations with regards to activity of cellular reactions. It is based on time-lapse fluorescence microscopy which facilitates following reaction kinetics in individual cells. The current CRRC workflow utilizes a single fluorescence image to manually identify cell contours; these contours are then used to determine fluorescence intensity of individual cells in the entire time-stack of images. This workflow can only be used reliably if the cells maintain their positions during the time-lapse measurements; if the cells move, the results of a CRRC experiment will be inaccurate. The requirement of invariant cell positions during a prolonged imaging is impossible to satisfy for motile cells. Here we report on developing an advanced workflow that makes CRRC applicable to motile cells. The new workflow combines fluorescence microscopy with brightfield (BF) microscopy and utilizes automated processing and analysis of images. A BF image is taken right after every fluorescence image and used to determine cell contours. The contours are tracked through the time-stack of BF images to account for cell movement. A set of contours, which is unique for every image, is then used to determine fluorescence intensity of cells in the associated fluorescent image. Finally, time dependencies of intracellular fluorescence intensities are used to determine the rate constant and plot a kinetic histogram “number of cells vs rate constant”. The robustness of the new workflow to cell movement was confirmed experimentally by conducting a CRRC study of cross-membrane transport in motile cells. The new workflow makes CRRC applicable to a wide range of cell types and eliminates the influence of cell motility on the accuracy of results.

Keywords

Cytometry of Reaction Rate Constant
Microscopy
Single-cell analysis
Cell-population heterogeneity
Kinetic analysis
Cytometry histograms
Time-lapse microscopy
Fluorescence microscopy
Fluorogenic probes for intracellular analysis

Supplementary materials

Title
Description
Actions
Title
images
Description
It contains raw images for: - Figure 2; the folder contains three subfolders named ‘region X’. Each represents a different x-y position of the cell plate. Each ‘region X’ folder contains images obtained in BF, DIC and PC mode. - Figure 3; raw images for the time lapse experiment (time interval =10 s). - Figure 6; it contains the set of adjacent BF and fluorescent images. The time interval between the images in the BF folder is 1 min. (time interval = 1 min) The folder also contains an image named ‘PI’. This image reveals the position of each single cell in the original workflow. - Figure S3; this folder contains two in-focus BF images: the raw image and the image after threshold was applied. It also contains the in-focus and out-of-focus (5 µm below, 5 µm above, and 10 µm above the in-focus position, respectively) fluorescence images.
Actions
Title
kinetictraces_and_fittingresults
Description
It contains two different .csv files. One is named ‘Kinetic traces_and_fittingresults_new workflow’ and the other one is named ‘Kinetic traces_and_fittingresults_original workflow’. Both files contain one sheet displaying the fluorescence intensity values as a function of time for individual cells. It also contains the equation used for fitting and the fitting results computed by OriginPro (scroll down to line 69).
Actions
Title
Trackingvideos
Description
It contains two videos. Each video shows the cell movement of the same single cell over the course of a time-lapse experiment of 1 hour duration, with a 1 min time interval. The ‘newworkflowvideo’ shows the ability of the new workflow to track the cell’s movements over time. The ‘oldworkflowvideo’ shows the absence of tracking, leading to an incorrect integration of fluorescence intensity over time for the same single cell (which subsequently results in the overestimation of kefflux)
Actions

Comments

Comments are not moderated before they are posted, but they can be removed by the site moderators if they are found to be in contravention of our Commenting Policy [opens in a new tab] - please read this policy before you post. Comments should be used for scholarly discussion of the content in question. You can find more information about how to use the commenting feature here [opens in a new tab] .
This site is protected by reCAPTCHA and the Google Privacy Policy [opens in a new tab] and Terms of Service [opens in a new tab] apply.