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Single-cell analysis has rapidly become crucial for new biomedical discoveries, whether for applications such as flow cytometry, identifying different cell types, single-cell sequencing, or for identifying genomic or transcriptomic variations between cells1. Performing such cell isolations from tissues of interestĀ requires mincing dissected tissues and pushing them through a fine cell strainer to filter out connective tissue from the desired cells (Figure 1A). Isolating adherent cell types, such as dendritic cells or macrophages, or cells from particularly fibrous tissues, requires additional mechanical or enzymatic separation steps2,3,4. This process is generally done manually, making it highly time-consuming and prone to user variability when assessing cell yields and sample viability. Therefore, it is crucial to introduce customizable options for automated tissue dissociation. While some attempts have been made to design such systems, the existing options are not always readily accessible, particularly in academic labs and lower-resource settings, largely due to the cost-prohibitive nature of these devices5. Furthermore, these devices are not always customizable to the individual needs of a research group6.
Here, a tissue dissociator device was designed to automate the digestion of whole tissues or tissue pieces into single-cell suspensions with the aid of digestive enzymes and mechanical disruption. This device can be easily assembled in the lab, placed into heating or cooling chambers for temperature regulation, customized for the required number of tissues to dissociate, and programmed with the desired dissociation protocols. The broad use of this device could significantly improve the reproducibility of cell extraction protocols and provide a time-saving alternative to manual dissociation.
The design allows for the simultaneous digestion of up to 12 tissues through an automated process. The device is composed of 12 individual motors wired in parallel and powered by a standard wall plug through an AC/DC adapter with an adjustable voltage dial to control the rotation/speed of the motors. The motors turn a hex bolt that fits snugly into the top of the C-tubes. The C-tubes are held in place by downward tension on an acrylic plate that latches on either side to the top plate where the motors are secured (Figure 1B). Because the motors are wired in parallel, their speed at any given voltage should not vary much, but the load (the number of C-tubes mounted on the device) will affect speed even when the voltage is kept constant. To measure rotations per minute (rpm), a tachometer has been incorporated using a hall effect sensor and a fixed magnet on one of the motor shafts (Supplementary Figure 1). The CAD files for building motor arrays are provided in Supplementary Coding File 1. Also included is a programmable switch to reverse the direction of rotation by reversing the positive/negative charges delivered to the motors. All of these features are integrated using coded software (Arduino IDE software, see Table of Materials) on an Arduino Nano (Supplementary Coding File 2). Using connected buttons and an LCD panel (Supplementary Figure 2), it is possible to create and run saved and custom protocols, automatically reverse the rotational direction at specified times of a protocol, adjust speed using the voltage (Supplementary Figure 3), and display the current motor speed and time left to complete a programmed protocol (Supplementary Figure 4).
For the present study, single-cell suspensions were prepared using both mechanical-enzymatic tissue dissociation with this device and manual-enzymatic tissue dissociation to determine differences, if any, in cells recovered for downstream applications. The cell preparations were evaluated based on total cell yields per tissue andĀ percent cell viability. FlowĀ cytometry was used to compare potential differences in surface marker expression. Data were analyzed using graphing and statistical analysis software. Unpaired Welch t-tests were used to compare pairs of samples or groups, with sample sizes n > 4 mice representing 2 replicate experiments. Detailed instructions for the fabrication and assembly of this device can be found in Supplementary File 1. Materials needed for this protocol are listed in the Table of Materials.