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Cell Counting and Image Cytometry

Rapidly Determine the Multiplicity of Infection (MOI) Dependent AAV Vector Transduction Efficiencies to Optimize AAV Vector Design

Section
Cell-based Assays for Gene Therapy Development
Celigo Applications
Cell Counting Method Selection
Cell Counting and Image Cytometry FAQs
Cell-based Assays for Bioprocessing
Cell-based Assays for Gene Therapy Development
Cellometer Applications
Modern Virology Assays
Sub Section
AAV Vector Transduction Efficiencies
AAV Vector Design
AAV Vector Transduction Efficiencies
FDA Approval for Gene Therapy
Neutralizing Antibody Screening
Topic
Rapidly Determine the Multiplicity of Infection (MOI) Dependent AAV Vector Transduction Efficiencies to Optimize AAV Vector Design
Direct Measurement Of Lentiviral Dose-Dependent Transduction Efficiencies Using GFP Fluorescence
Kinetic Measurement of AAV Vector Transduction Efficiencies To Optimize Assay Duration
Rapidly Determine the Multiplicity of Infection (MOI) Dependent AAV Vector Transduction Efficiencies to Optimize AAV Vector Design

The Celigo™ image cytometer simplifies required experiments in determining the vector amount to transduce as well as the post-transduction time point with maximal expression. The platform rapidly images and analyzes the fluorescence of GFP-tagged AAV vector-transduced target cells in 96-well plates.

  1. Target cells are seeded in each well of a 96-well plate and incubated overnight
  2. The cells are then transduced with six types of AAV-GFP vectors at high, medium, and low MOIs
  3. After incubating overnight, the Celigo images and analyzes brightfield and green fluorescence to measure the transduction efficiencies at three MOIs for different serotypes of AAV-GFP vectors
  4. The software identifies and segments cells to provide counts of both total cells and GFP+ cells

Directly measure MOI and AAV-dependent transduction efficiencies

The Celigo image cytometer captures brightfield and green fluorescent images to directly count the total number of cells in brightfield and identify GFP+ cells to determine the transduction efficiencies for each MOI and AAV vectors (Figure 1). To calculate the efficiencies, the number of GFP+ cells was divided by the total number of cells counted per well. The results are shown in Figure 2 for high, mid, and low MOI, as well as different AAV vectors, where AAV-A, E, and C showed the highest GFP% out of the 6 tested, indicating high transduction efficiencies.

Brightfield and fluorescent images with segmentation

Figure 1. Brightfield and fluorescent images with segmentation using Celigo software to determine transduction efficiencies.

Measured GFP% for 6 AAV vectors at high, mid, and low MOIs

Figure 2. Measured GFP% for 6 AAV vectors at high, mid, and low MOIs.

Automatically measure fluorescent intensities to determine gene expression levels

In addition to providing high-resolution, whole-well images (Figure 3), the Celigo software automatically quantifies the integrated intensity (Figure 4). Larger and smaller areas around the region of interest (ROI) are measured, and the integrated intensity of the background is subtracted. This approach is more reliable for describing signal intensity independent of fluorophore density. This feature makes it easy for researchers to compare MOIs and select the best experimental conditions to maximize transduction efficiency.

GFP images showing MOI levels

Figure 3. GFP fluorescent images at high, mid, and low MOI showing bright GFP signals at the highest MOI and decreased signal with mid and low MOIs.
 

Gene expression levels
MOI-dependent AAV-GFP intensity

Figure 4. (a) Fluorescent intensity measurement using FCS Express™ to determine gene expression level. (b) The difference in GFP FL intensities for high, mid, and low MOIs.



For research use only. Not for use in diagnostic procedures.

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