Transfection Efficiency
Transfection Efficiency - Related Videos
12:55
Using the Gene Pulser MXcell Electroporation System to Transfect Primary Cells with High Efficiency
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Cited by 11 •
2010
This procedure shows how to use the Gene Pulser MXcell electroporation system to rapidly and easily identify the best electroporation conditions for mouse embryonic fibroblasts (MEFs) or other primary cells. Considerations for troubleshooting are also discussed in the associated video.
09:14
High efficiency, Site-specific Transfection of Adherent Cells with siRNA Using Microelectrode Arrays (MEA)
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Cited by 4 •
2012
The article details the protocol for site-specific transfection of scrambled sequence of siRNA in an adherent mammalian cell culture using a microelectrode array (MEA).
08:08
Optimized Protocol for Efficient Transfection of Dendritic Cells without Cell Maturation
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Cited by 11 •
2011
We present our optimized high-throughput nucleofection protocol as an efficient way of transfecting primary human monocyte-derived dendritic cells with either plasmid DNA or siRNA without causing cell maturation. We further provide evidence for successful siRNA silencing of targeted gene RIG-I at both the mRNA and protein levels.
07:28
An Introduction to Transfection
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2023
Transfection is the process of inserting genetic material, such as DNA and double stranded RNA, into mammalian cells. The insertion of DNA into a cell enables the expression, or production, of proteins using the cells own machinery, whereas insertion of RNA into a cell is used to down-regulate the production of a specific protein by stopping translation. While the site of action for transfected RNA is the cytoplasm, DNA must be transported to the nucleus for effective transfection. There, the...
08:04
Neuronal Transfection Methods
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2023
Transfection - the process of transferring genetic material into cells - is a powerful tool for the rapid and efficient manipulation of gene expression in cells. Because this method can be used to silence the expression of specific proteins or to drive the expression of foreign or modified proteins, transfection is an extremely useful tool in the study of the cellular and molecular processes that govern neuron function. However, mature neurons have a number of properties that make them...
FAQs
The interaction between introduced nucleic acids and their carrier is a central determinant of delivery performance. Cell condition also affects whether genetic material is taken up and expressed, so the same carrier may produce different results in different biological samples. Evaluating these variables together helps identify conditions that improve gene delivery rather than attributing every difference to the nucleic acid alone.
Plasmid DNA, messenger RNA, and small interfering RNA represent distinct delivery targets, so optimization should consider the material being introduced. Their performance can differ within the same experimental system, making a condition suitable for one type of nucleic acid unsuitable for another. Matching the delivery approach to the genetic material supports more meaningful comparisons of gene-expression or gene-function outcomes.
Comparison requires measuring each delivery method under appropriately matched experimental conditions and using the same type of measurable outcome. Differences may reflect the method itself, the nucleic-acid type, cell condition, or carrier interaction. A controlled comparison therefore helps researchers determine which approach performs best for a particular biological sample and experimental goal, rather than assuming one method is universally superior.
A reporter gene provides a measurable signal that indicates successful nucleic-acid delivery and expression. Researchers can use that signal to estimate how effectively a sample responds to a delivery condition and to compare optimization experiments. Because the measurement reflects expression, interpretation should distinguish delivery performance from other factors that may influence how strongly the introduced genetic material is expressed.
A basic optimization workflow compares delivery conditions while varying supported factors such as the method, nucleic-acid type, cell condition, and carrier interaction. Researchers then assess expression with a reporter gene or another measurable signal and compare the results across conditions. Selecting the condition with the most informative performance can improve later gene-function, protein-production, or disease-modeling experiments.
This measure is important whenever experimental conclusions depend on introducing and expressing nucleic acids in cells. It supports gene-function studies, protein production, disease modeling, and therapeutic research by indicating how consistently a delivery condition performs. Comparing efficiency across experiments also helps researchers judge whether differences in biological results may reflect delivery performance rather than the process under investigation.
Recording delivery performance gives researchers a basis for interpreting variation between experiments. If expression or another outcome changes, efficiency measurements can help determine whether the difference is associated with nucleic-acid delivery conditions, cell condition, or carrier interaction. This added context supports more reliable comparisons and reduces the risk of drawing conclusions from experiments with substantially different delivery performance.