Automated Cell Transfection and Reporter Gene Assay
Christophe Jung, Scientist
Peter Bandilla, Automation Specialist
Zhan Qi, PhD Student
Ulrich Unnerstall, Scientist
Ulrike Gaul, Principal Investigator
Department of Biochemistry, BioSysM / Gene Center, Ludwig-Maximilians-Universität München, Butenandtstr. 1, 81377
München, Germany
Abstract
Reporter gene assays have greatly helped our understanding of gene regulation and signal transduction in vitro and in vivo. They are widely used in molecular and cell biology studies, as well as in biomedical and pharmaceutical research and development. A typical reporter gene assay includes cell transfection of a reporter gene sequence cloned into an expression vector, and the determination of the gene expression level by measuring the reporter activity. We demonstrate here how a reporter gene assay can be automated using two Biomek NXP workstations, yielding accurate and highly reproducible measurements of reporter activity.
Introduction
Reporter gene assays are used to study gene expression and regulation. The most common applications include the testing of cis-regulatory sequences such as enhancers and promoters, functional analysis of promoter single nucleotide polymorphisms, studying signaling pathways, and drug discovery. Chemiluminescent reporters often outperform fluorescent, colorimetric or radioactive reporters due to their inherent sensitivity, large dynamic range and ease of set up. In particular, the low background light inherent in luminescence results in a better signal-to-noise ratio (SNR). Such high sensitivity is the prerequisite for most High-Throughput Screening (HTS) methods, which rely on the use of high-density plates to rapidly measure a single parameter across a large number of samples.
In a typical assay, cells are transfected with a vector that contains the sequence of interest cloned upstream of a luminescent reporter, such as Firefly or Renilla luciferase enzymes. In transient transfection experiments, an internal control with constitutive expression is often added, either as part of the same plasmid or co-transfected on a separate plasmid, in order to normalize for transfection efficiency, cell viability and sample handling. This system is known as the Dual Luciferase Reporter (DLR) assay. The activities of Firefly and Renilla luciferases are measured sequentially from a single sample, based on the different substrate specificities of the two luciferases, which provides a convenient means to measure both test and control reporter activities.
We sought to design a reporter gene assay based on the DLR system and with the following requirements:
- The assay should be fully automated (except for cell culture).
- Gene expression should be measured accurately and reproducibly for expression levels over multiple orders of magnitude.
- To ensure cost-effectiveness, reagent volumes should be minimized without impacting data quality.
We present here an automated protocol that fulfills these demanding requirements by using two Biomek NXP workstations (Figure 1A) for transient transfection and for the DLR assay of synthetic promoter variants. We will show that, besides increasing throughput, using automation leads to reduced variability of measurements over a dynamic range of up to five orders of magnitude.
Materials and Methods
Automation
Two Biomek NXP workstations, one with a 96-channel head and one with Span-8 pipettors, connected with a servo-shuttle, are used for all liquid transfer steps (Figure 1A). In addition, the robotic system is equipped with orbital shakers and a microplate reader (SpectraMax Paradigm, Molecular Devices) served by the Span-8 gripper. This configuration made it possible to fully automate the assay, from cell transfection to luminescence readout.
Vector system and cloning
All promoter constructs were cloned in the pGL4 Vector (Promega), which maximizes expression of Firefly and Renilla luciferases, while minimizing cryptic transcription factor binding sites. Firefly reporter was used to measure expression of test promoter variants, and Renilla was used for the control promoter (Drosophila pTRAN promoter). The GFP expression vector used to visualize transfected cells was a gift from K. Förstermann (Gene Center, Munich).
Cell culture and reagents
Drosophila Schneider 2 (S2) cells were cultured in serum-free Express V Medium (Invitrogen), supplemented with L-Glutamine (9%). 40,000 cells/well (each containing 110 μL of medium) were plated in 96-well plates (Corning) at passage 18. The cells were incubated within a humidified incubator at 25°C. Before transfection, Fugene HD (Promega) transfection reagent (diluted 16.2X) was mixed with the plasmid DNA (total concentration of 25.3 ng/μL) in water in four 96-well plates (4titude). We determined the optimal mass ratio between test and control plasmids to be 8:1 with our vector systems. The addition of the transfection reagent/DNA solution to the cells was then performed using the 96-channel head.
Readout of the luminescence signal
After incubation for 24 hours, the volume of the cell culture medium was reduced to 80 μL to increase luciferase concentration after lysis, and the cells were detached from the plate bottom by shaking. Subsequently, 2 × 20 μL of the lysed cell extract from each well of four 96-well cell culture plates was immediately added to two separate 384-well plates (AlphaPlates light gray, Perkin Elmer). Importantly, the plates were dark-adapted for 10 minutes before reading to reduce plate luminescent background. To each well of the first plate, we added 10 μL of One-Glo solution (Promega) containing a lysis buffer and the substrate for Firefly luciferase. The plate was transferred to the microplate reader and left for 10 minutes before measuring Firefly luminescence. The procedure was repeated with the second plate using the Renilla-Glo solution (Promega) to measure Renilla luminescence (for discussion, see below).
Automated transfection
For gene reporter assays, cell transfection is typically performed transiently, i.e. without integrating the plasmid DNA into the host genome. A preferred method is chemical transfection, where reagents package the DNA plasmid in liposomes, allowing them to pass through the cell membrane. This easy-to-use method can produce high transfection efficiency, low cell toxicity, and reproducible results. High transfection efficiency is important for providing a high signal and good well-to-well reproducibility, thereby helping to minimize experimental variability. Although normalization with the control reporter significantly reduces variability, a homogeneous transfection over the plate further improves data quality and avoids creating outlier wells (e.g. wells in which the control signal is too low).
The main difficulties in automating the transfection procedure are the need for strict control of cell culture conditions (splitting, use of serum-free medium, monitoring of cell proliferation/apoptosis), and the hydrophobic, viscous nature of the transfection reagent. Because of its low stability in aqueous environments and its adsorption to plastic containers and pipette tips, the transfection reagent had to be pipetted without dilution and at low volumes (2.3 μL). We used the Span-8 pipettors with P50 pipetting tips for this step. In order to limit adsorption, the lipophilic reagent was transferred into individual borosilicate glass tubes in 96-well plate storage format (Figure 1B). Eight tubes were used in parallel to optimize pipetting time and limit adsorption onto the tip surface. This procedure led to high transfection efficiency (50-60%), with well-to-well variability below 20% in a 96-well cell culture plate format (Figure 1C).
Figure 1. Robotic system and automated transfection. A) One of the two Biomek NXP workstations with a Span-8 pipettor, an orbital shaker and a microplate reader. B) The borosilicate glass tubes used to contain the lipophilic transfection reagent. C) Confocal tiled images of 15 individual wells of a 96-wellplate containing S2 cells transfected with a GFP expression vector. The transfection efficiency was 50-60% and the well-to-well variability below 20%.
Automated DLR Assay
To save time and reduce the required volume of the substrate reagents of the luciferase enzymes, it was highly desirable to perform the DLR assay in a 384-well plate format. While transfer of the cell culture and transfection protocol from 96-well to 384-well plates was not feasible, we managed to obtain similar performance for the DLR assay in the two different plate formats. We therefore proceeded by transferring our samples from 96-well to 384-well plates for the luciferase readout (Figure 2A). This enabled us to reduce the time required by the DLR assay, and to reduce the volume of substrate reagent by a factor of 6.
During the optimization process, we tested different plates, vector systems, luciferases and control promoters in order to optimize the signal-to-noise ratio (SNR). It turned out that the quality of the 384-well plates used for the readout is essential for maximizing the SNR and minimizing crosstalk of luminescent light between adjacent wells. We found that dark-adapted light gray plates gave the best results, with a crosstalk < 0.05%.
Another critical parameter is the delivery method for the two luciferase substrate reagents. We originally tested a widely used DLR kit (Dual-Glo, Promega), which provides the substrate for Firefly luciferase (driven by the test promoter), followed by the Renilla luciferase (driven by the control promoter). With this kit, the substrate for Firefly is added first, and the corresponding luminescence signal is measured. The reaction is then quenched, and the Renilla luciferase reaction initiated simultaneously by adding a second reagent to the same sample. However, we discovered two different problems when using this approach:
First, although the crosstalk value of 0.05% would be negligible for most applications, it represents a significant source of error in our experimental design, where extremely strong and weak promoters can occur side by side in neighboring wells, with a dynamic range exceeding three orders of magnitude.
Second, we found that the quencher added before the measurement of the Renilla signal was only partially quenching the Firefly signal for the strongest promoters. This resulted in overestimated Renilla signals, leading to erroneous normalization of the data.
We successfully solved both issues by modifying the assay pipeline. The cells were first lysed in medium, and then split, using the 96-channel head, into two different light gray plates for separate readout by adding Firefly substrate to one plate and Renilla to the other (Figure 2B). We verified that this procedure adds no variability to the normalized data, compared to sequential activity measurements using the same solutions. This demonstrates the high pipetting accuracy of the multichannel head. In this procedure, no quencher needs to be added before assaying the Renilla signal, which leads to a twofold increase in Renilla luminescence signal. Moreover, to address the cross-talk issue, we performed two readouts of the Firefly plate: the first readout after adding the substrate (post-incubation), and then a second measurement after pipetting out the high-signal solutions of strong promoters and replacing them with another quencher (Nile Blue) (Figure 2C). This procedure completely eliminated any crosstalk. To normalize for the slight loss in luminescence signal between the two readouts, as well as for normalization between different runs, different control promoters are systematically used as plate controls.
Figure 2. Assay workflow. A) Workflow for automated transfection in 96-wellplate format, followed by DLR assay in 384-well plate format. B) The transfection, lysis and cell detachement occurs in four cell culture 96-wellplates, followed by their splitting into two 384-well plates for separate readout of the firefly and renilla signals. C) Experimental strategy to eliminate crosstalk artifacts. Separating firefly and renilla readouts avoids crosstalk between the firefly and renilla luminescence light (the two upper panels). A second readout of the firefly signal after removal of the solution in wells with very strong signal eliminates the crosstalk between adjacent wells.
Assay performance
We found that, as expected, the use of a control promoter (Renilla signal) improves well-to-well reproducibility by a factor of 2 (Figures 3A and 3B), with a coefficient of variation (CV) between different wells < 10%. We also compared the normalized values of manual versus automated assays for promoter strengths distributed over as many as five orders of magnitude (Figure 3C and data not shown). The average CV decreased from 22% to 9%, demonstrating the significant advantages of automation.
Figure 3. Assay reproducibility. A) Mean firefly raw luminescence signals for nine independent technical (same days) and biological (different days) replicates in 384-wp format. Each well arose from an independent transfection and contained the same experimental promoter with a weak expression level. B) Mean normalized expression level values. The average coefficient of variance (CV) decreases from ~20% to 10% after normalization. C) Comparison of normalized expression level values for manual versus automated sample preparation. The insert shows a magnification of the region highlighted with a black square. The expression levels of the 11 different experimental promoters tested covers a dynamic range of more than 3 orders of magnitude. The automated preparation leads to a much lower average CV (9%) for all promoters compared to manual preparation (22%).
Conclusion
In summary, we have shown that transferring a sensitive reporter gene assay to robotics using Biomek NXP workstations leads to substantially improved accuracy and reproducibility, in addition to higher throughput. Expression levels can be accurately determined over five orders of magnitude. The critical steps are to establish highly reproducible cell transfection, minimize luciferase substrate volume while maintaining high reproducibility, and eliminate artifacts due to the crosstalk between adjacent wells and between the two luciferase signals. The protocol was established using the DLR assay, but could easily be adapted to other common reporter systems such as fluorescence reporters.
Biomek Automated Workstations are not intended or validated for use in the diagnosis of disease or other conditions. Beckman Coulter Life Sciences genomic reagent kits are for research use only.
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- Nanoliter Scale DNA Assembly Utilizing the NEBuilder HiFi Cloning Kit with the Echo 525 Liquid Handler
- Performance of the Valita Aggregation Pure assay vs HPLC-SEC
- BioLector XT微型生物反应器小球藻光营养培养
- Precision measurement of adipocyte size with Multisizer4e
- Principles of Continuous Flow Centrifugation
- Purifying High Quality Exosomes using Ultracentrifugation
- Quality Control of Anti-Blocking Powder Particle Size
- Rapid Rabbit IgG Quantification using the Valita Titer Assay
- Leveraging the Vi-CELL MetaFLEX for Monitoring Cell Metabolic Activity
- Unveiling the Hidden Signals: Overcoming Autofluorescence in Spectral Flow Cytometry Analysis
- Unlocking Insights: The Vital Role of Unmixing Algorithms in Spectral Flow Cytometry
- Vaporized Hydrogen Peroxide Decontamination of Vi–CELL BLU Instrument
- Automating the Valita Titer IgG Quantification Assay on a Biomek i-Series Liquid Handling System
- Viral Vector Purification with Ultracentrifugation
- Analytical Ultracentrifugation (AUC) for Characterization of Lipid Nanoparticles (LNPs): A Comprehensive Review
- Leveraging Analytical Ultracentrifugation for Comprehensive Characterization of Lipid Nanoparticles in Drug Delivery Systems
-
彩页
- Access Single Robot System——合成生物学工作流利器
- Automated Solutions for Cell Line Development
- Automated Solutions for ELISA
- Echo Acoustic Liquid Handling for Synthetic Biology
- HIAC 8011+ Liquid Particle Counting Systems
- HIAC 9703+ Sub-Visible Particulate Testing
- LS 13 320 XR - Laser Diffraction Particle Size Analyzer
- ValitaTiter IgG定量试剂盒彩页下载
-
案例分析
- Adenoviral Vectors Preparation
- Algae Biofuel Production
- Antibody and Media Development
- Autophagy
- B Cell Research
- Basic Research on Reproductive Biology
- Cardiovascular Disease Research
- Cell Marker Analysis
- Choosing a Tabletop Centrifuge
- Collagen Disease Treatment
- Controlling Immune Response
- Creating Therapeutic Agents
- DNA Extraction from FFPE Tissue
- English Safety Seminar
- Equipment Management
- Exosome Purification Separation
- Fast, Cost-Effective and High-Throughput Solutions for DNA Assembly
- Future of Fishing Immune Research
- Hematopoietic Tumor Cells
- High-throughput next-generation DNA sequencing of SARS-CoV-2 enabled by the Echo 525 Liquid Handler
- Hiroshima Genbaku HP Hematopoietic Tumor Testing
- iPS Cell Research
- Leveraging acoustic and tip-based liquid handling to increase throughput of SARS-CoV-2 genome sequencing
- Membrane Protein Purification X Ray Crystallography
- Organelles Simple Fractionation
- Particle Interaction
- Quality evaluation of gene therapy vector
- Retinal Cell Regeneration
- Sedimentary Geology
- Severe Liver Disease Treatment
- Tierra Biosciences reveals major molecular discovery
- Treating Cirrhosis
- University Equipment Management
- Fundamentals of Ultracentrifugal Virus Purification
- 产品目录
- 单页
-
专家访谈
- Background and Current Status of the Introduction of Flow Cytometers
- Benefits-of-the-coulter-principle-in-the-manufacturing-for-ips-cell-derived-natural-killer-cells
- Central Diagnosis in the Treatment of Childhood Leukemia 1
- Central Diagnosis in the Treatment of Childhood Leukemia 2
- Challenges-in-viability-cell-counting
- Contribution of Cytobank to 1-cell analysis of the cancer microenvironment
- Development of technology for social implementation of synthetic biology
- Flow Cytometry Testing in Hospital Laboratories
- Fundamentals of Ultracentrifugal Virus Purification
- The MET ONE 3400+ Automates Routine Environmental Monitoring for GMP Cleanroom Compliance
- Tumor Suppressor Gene p53 research and DNA Cleanup Process
- Fundamentals of Ultracentrifugal Virus Purification
- Dr Yabui UCF Lecture
-
主题报告
- Applications of Ultracentrifugation in Purification and Characterization of Biomolecules
- Automating Genomic DNA Extraction from Whole Blood and Serum with GenFind V3 on the Biomek i7 Hybrid Genomic Workstation
- ABRF 2019: Automated Genomic DNA Extraction from Large Volume Whole Blood
- Automated library preparation for the MCI Advantage Cancer Panel at Miami Cancer Institute utilizing the Beckman Coulter Biomek i5 Span-8 NGS Workstation
- Automating Cell Line Development for Biologics
- Cellular Challenges: Taking an Aim at Cancer
- Cell-Line Engineering
- Characterizing the Light-Scatter Sensitivity of the CytoFLEX Flow Cytometer
- AACR 2019: Isolation and Separation of DNA and RNA from a Single Tissue or Cell Culture Sample
- Mastering Cell Counting
- Preparing a CytoFLEX for Nanoscale Flow Cytometry
- A Prototype CytoFLEX for High-Sensitivity, Multiparametric Nanoparticle Analysis
- ABRF 2019: Simultaneous DNA and RNA Extraction from Formalin-Fixed Paraffin Embedded (FFPE) Tissue
- Quantification of AAV Capsid Loading Fractions: A Comparative Study
- Using Standardized Dry Antibody Panels for Flow Cytometry in Response to SARS-CoV2 Infection
- 产品说明书
- 实验步骤
-
白皮书
- Centrifugation is a complete workflow solution for protein purification and protein aggregation quantification
- AUC Insights - Analysis of Protein-Protein-Interactions by Analytical Ultracentrifugation
- A General Guide to Lipid Nanoparticles
- Addressing issues in purification and QC of Viral Vectors
- GMP Cleanrooms Classification and Routine Environmental Monitoring
- Purification of Biomolecules by DGUC
- AUC Insights - Assessing the quality of adeno-associated virus gene therapy vectors by sedimentation velocity analysis
- AUC Insights - Sample concentration in the Analytical Ultracentrifuge AUC and the relevance of AUC data for the mass of complexes, aggregation content and association constants
- Analyzing Biological Systems with Flow Cytometry
- 亚可见颗粒物检测新进展:USP <1788>的最新修订
- Changes to USP <643> Total Organic Carbon
- Characterization of RNAdvance Viral XP RNA Extraction Kit using AccuPlex™ SARS–CoV–2 Reference Material Kit
- CytoFLEX Platform Flow Cytometers with IR Laser Configurations: Considerations for Red Emitting Dyes
- Evaluation of the Analytical Performance of the AQUIOS CL Flow Cytometer in a Multi-Center Study
- Simultaneous Isolation and Parallel Analysis of gDNA and total RNA for Gene Therapy
- Hydraulic Particle Counter Sample Preparation
- Inactivation of COVID–19 Disease Virus SARS–CoV–2 with Beckman Coulter Viral RNA Extraction Lysis Buffers
- Tips for Cell Sorting
- IVD-R Annex I Global Safety and Performances Requirements
- Liquid Biopsy Cancer Biomarkers – Current Status, Future Directions
- MET ONE 3400+ IT Implementation Guide
- Reproducibility in Flow Cytometry
- SuperNova v428: New Bright Polymer Dye for Flow Cytometry
- SuperNova v428: New Bright Polymer Dye for Flow Cytometry
- Japan Document
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应用手册