Agilent Automated Scratch Tool Application Note

Application Note
Cell Migration and Invasion
Incorporation of a Novel, Automated Scratch Tool and Kinetic Label-Free Imaging to Perform Wound
HealingAssays
Author
Brad Larson Agilent Technologies, Inc.
Abstract
The wound healing or "scratch" assay is one of the most highly used in vitro methods to monitor and quantify collective cell migration. The current standard involves manual wound creation, which yields low reproducibility between wounds, high variability within generated data, and possible false conclusions regarding test molecules. Using an automated wound creation tool, in addition to kinetic image capture and analysis, repeatable wounds and robust and repeatable results are easily attained.
Introduction
Materials and methods
The movement of cells when influenced by interactions with neighboring cells, otherwise known as collective cell migration, plays a role in numerous critical physiological processes, including morphogenesis and tissue regeneration. This type of movement as a cohesive group has also been shown to be critical in wound healing and cancer metastasis. In wound healing, epithelial cells collectively migrate as a sheet of cells. Wounding of the epithelial layer induces cell migration in a directional manner. During this process, cells maintain tight intercellular adhesion, healing the original
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wound.
Similarly, collective cell migration has also been implicated as playing a major role in cancer metastasis. An increasing number of publications indicate that metastatic cells cluster and invade collectively in the vasculature and
3-4
lymphatics of cancer patients.
Therefore, attaining a better understanding of collective cell movement is of critical value for the treatment of multiple disease types.
One of the most widely used methods to measure collective cell migration is the wound healing or "scratch" assay. Following creation of a wound, or cell-free zone, within the confluent cell layer, cell movement back into the wound area is monitored over time using cellular imaging. Kinetic and endpoint data then allow for quantification of cell migration, either when uninhibited or under the influence of a test molecule. For wound creation, commonly a pipette tip is manually dragged through the cells, which can lead to wounds that vary drastically in width, orientation, and in placement within the well. This yields increased variability in calculated measurements within replicate wells and across titrations, complicating final conclusions regarding the migratory ability of test cell models and treatments, especially when comparing assay to assay data. To increase the robustness of generated data, a method to create consistent wounds is necessary.
This study demonstrates the use of a novel, automated tool to create scratch wounds in cell monolayers formed on the bottom of a microplate. With the single push of a button, and using a 4- or 8-pin head, consistent scratches of equivalent size and area are made in either 24- or 96-well plates. A multi-reservoir cleaning trough is also incorporated on the deck of the tool. Using the onboard programmed procedure, unattended cleaning and decontamination of each pin is accomplished before and after use. The small footprint permits insertion of the tool; using any size laminar flow hood enabling wound creation in a sterile manner. Following washing, the plate can then be transferred to an Agilent BioTek automated imager or the Agilent BioTek BioSpa live cell analysis system to kinetically monitor cell migration.
Materials
Cells
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HT-1080 fibrosarcoma cells (partnumberCCL-121) were purchased from ATCC (Manassas, VA).
Human neonatal dermal fibroblasts expressing RFP
(partnumbercAP-0008RFP) were purchased from Angio-Proteomie (Boston, MA). U-87 glioblastoma cells
expressing GFP were generously donated by Dr. Sachin Katyal
(University of Manitoba, Winnipeg, Manitoba, Canada).
Experimental components
Advanced DMEM (partnumber12491- 015), fetal bovine serum (partnumber10437-036), penicillin-streptomycin­glutamine (100x) (partnumber10378-016), TrypLE express enzyme (1x), phenol red (partnumber12605-010), Alconox powdered precision cleaner (partnumber16-000-104), Virkon-S (partnumberNC9821357), and CellTracker Green CMFDA Dye (partnumberC2925) were purchased from Thermo Fisher Scientific (Waltham, MA). Cytochalasin D (partnumber1233) was purchased from Bio-Techne Corporation (Minneapolis, MN). 24-well clear TC-treated multiple well plates (partnumber3524) and 96-well
clear, flat bottom, polystyrene TC-treated microplates
(partnumber3598) were purchased from Corning Life Sciences (Corning, NY).
Agilent BioTek AutoScratch wound making tool
The Agilent BioTek AutoScratch wound making tool automatically creates reproducible scratch wounds in cell monolayers grown in microplates. The simple pushbutton operation and tool-free scratch pin manifold exchange make it easy to process either 96- or 24-well plates, which are commonly used in migration and invasion assays. The compact system features an onboard, preprogrammed cleaning routine to keep the scratch pins free of buildup and avoiding contamination. AutoScratch precisely and efficiently automates the sample prep for imaging workflows with Agilent BioTek Cytation cell imaging multimode readers and Agilent BioTek Lionheart automated microscopes.
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Agilent BioTek Cytation 5 cell imaging multimode reader
Cytation 5 is a modular multimode microplate reader
combined with an automated digital microscope. Filter- and monochromator-based microplate reading are available, and the microscopy module provides up to 60x magnification in fluorescence, brightfield, color brightfield and phase contrast. The instrument can perform fluorescence imaging in up to four channels in a single step. With special emphasis on
live cell assays, Cytation 5 features shaking, temperature control to 65 °C, CO
gas control and dual injectors
2/O2
for kinetic assays and is controlled by integrated Agilent
BioTek Gen5 microplate reader and imager software, which
also automates image capture, analysis and processing. The instrument was used to capture kinetic high contrast brightfield and fluorescent images over the incubation period.
Agilent BioTek BioSpa 8 automated incubator
The BioSpa 8 automated incubator links Agilent BioTek readers or imagers together with Agilent BioTek washers and dispensers for full workflow automation of up to eight microplates. Temperature, CO
and humidity levels are
2/O2
controlled and monitored through the Agilent BioTek BioSpa software to maintain an ideal environment for cell cultures during all experimental stages. Test plates were incubated in the BioSpa to maintain proper atmospheric conditions during
incubation and automatically transferred to the Cytation 5 for high contrast brightfield and fluorescentimaging.
Agilent BioTek MultiFlo FX multimode dispenser
The MultiFlo FX is a modular, upgradable reagent dispenser that can have as many as two peristaltic pump (8-tube
dispensers), two syringe pump dispensers and a strip washer.
The syringe and washer manifolds can be configured for plate densities from 6- to 384-well.
Methods
Cell preparation
Cells were cultured in T-75 flasks until reaching 80%
confluency. Subsequent to detachment from the flask with TrypLE, cells were resuspended to preoptimized concentrations depending on plate well density and culture
conditions (Table 1).
Table 1. Automated 3D tumoroid invasion imaging parameters.
Cell Plating Concentrations
24-Well Format 96-Well Format
HT-1080
Fibroblast
U-87
2.4 × 105 cells/mL 4.0 × 105 cells/mL
2.0 × 105 cells/mL
2.4 × 105 cells/mL 4.0 × 105 cells/mL
AutoScratch cleaning procedure
Prior to wound creation in test plates, the AutoScratch tool pins were cleaned and sterilized. The four cleaning components were added to individual reservoirs of the cleaning trough, labeled to assist with appropriate component
and volume addition (Table 2).
Table 2. Cleaning trough reagent setup.
AutoScratch Cleaning Components
Reservoir 1
Reservoir 2
Reservoir 3
Reservoir 4
Alconox, 0.5% 12 mL
Virkon-S, 1% 12 mL
Sterile DI H2O 12 mL
70% Ethanol 12 mL
The “Clean” button was pressed to initiate the cleaning procedure. During the process, the scratching arm containing the pins moves from the home position into the reservoir
containing 0.5% Alconox, agitates in the Y-axis for 3seconds, then soaks the pins in the component for 5 minutes. At the completion of the 5-minute incubation period, the arm moves
the pins to the Virkon-S. The process is then automatically repeated for each of the remaining components. At the end of the 20-minute cleaning cycle, the pins were cleaned, sterilized,
and ready to be used for woundcreation.
Scratch wound creation
Following completion of the cleaning procedure, the test plate was added to the deck of the AutoScratch tool and the lid removed. The “Scratch” button appropriate for the microplate density being used, “24” or “96”, was pressed to begin the wounding process. Here the arm moves the pins from the home position to column 1 of the plate where a scratch is made vertically at the center of the well. The arm then moves the pins back to the reservoir containing the DI H
O and
2
performs a three second agitation to remove any dislodged cells sticking to the pins. The pins are then moved to
column2 and the scratching and cleaning steps are repeated
for each column of the plate.
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Post scratch plate washing
Wt = IA – Object Sum Area
t
Upon completion of the wound creation routine, the plate was transferred to a separate laminar flow hood containing the Agilent BioTek MultiFlo FX. Here a plate washing procedure was carried out to remove cells dislodged from the bottom of the plate. The stainless steel tubes of the strip washer,
previously sterilized using 70% ethanol, were used to aspirate media while the peristaltic pump and an autoclaved 5 uL
cassette dispensed back fresh media. For uninhibited wells, the procedure was repeated 3x. For wells containing the cytochalasin D titration, media containing inhibitor was added manually following the third aspiration cycle.
Kinetic image-based monitoring of cell migration
Plates were then placed into the BioSpa 8, with atmospheric
conditions previously set to 37 °C/5% CO
. Water was
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added to the pan to create a humidified environment. The
BioSpa8 software was programmed such that the plates were automatically transferred to Cytation 5 for high contrast
brightfield or high contrast brightfield and fluorescent imaging of the test wells, depending on the incorporated cell types.
A single 4x image was taken with each channel (Table 3) to
capture potential cell movement into the original wound area.
Table 3. Included imaging channels per test cell model.
Incorporated Imaging Channels
HT-1080
Fibroblast
U-87
High contrast brightfield/GFP
High contrast brightfield/RFP
High contrast brightfield/GFP
Plates were then transferred back to the BioSpa 8. Kinetic imaging cycles were carried out using iterations optimized depending on the speed of migration for each cell model
(Table 4).
Table 4. Optimized imaging intervals per cell model.
Kinetic Imaging Intervals
HT-1080
Fibroblast
U-87
Fibroblast/U-87 Co-culture
60 minutes
90 minutes
90 minutes
90 minutes
Table 5. Image preprocessing parameters.
Incorporated Imaging Channels
Channel
High Contrast Brightfield
RFP
GFP
Apply Image
Processing Background Rolling Ball Priority
Yes Dark 25 μm Fine results
Yes Dark Auto Fine results
Yes Dark Auto Fine results
Cellular analysis of preprocessed images
Cellular analysis was carried out on the processed images to quantify the cell containing areas of each image using the criteria in Table 6.
Table 6. Object mask analysis parameters.
Primary Cellular Analysis Parameters
Channel
Threshold
Background
Split Touching Objects
Fill Holes in Masks
Minimum Object Size
Maximum Object Size
Include Primary Edge Objects
Analyze Entire Image
Advanced Detection Options
Rolling Ball Diameter
Image Smoothing Strength
Evaluate Background On
Expand the Threshold Mask
Analysis Metric
Metric of Interest
Tsf[Brightfield]
2,000
Dark
Unchecked
Checked
100 μm
10,000 μm
Checked
Checked
40
20
1% of lowest pixels
5 μm
Object sum area
Wound healing metric calculation
The kinetic cell area coverage values (object sum area) were
then used to generate three additional wound healing metrics, including wound width, wound confluence, and maximum wound healing rate. Each metric is automatically calculated
by the Agilent BioTek Gen5 wound healing protocol.
Wound width
Wound width, or the average width of the cell-free zone over time, is calculated using the following formula:
Image processing
Following capture, using the settings in Table 5, high contrast
brightfield images were processed to increase the contrast in brightfield signal between background and cell containing areas of the image, while fluorescent images were processed to remove background signal.
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I
H
Where Wt is the average wound width (µm) over time, IA is the total area of the 4x image, Object Sum Area covered by cells at each time point, and I
is the area
t
is the height of a
H
4ximage.
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