In Vitro Detection
In Vitro Detection - Related Videos
08:25
Advanced 3D Liver Models for In vitro Genotoxicity Testing Following Long-Term Nanomaterial Exposure
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Cited by 21 •
2020
This procedure was established to be used for developing advanced 3D hepatic cultures in vitro, which can provide a more physiologically relevant assessment of the genotoxic hazards associated with nanomaterial exposures over both an acute or long-term, repeated dose regimes.
10:34
Detection of RNA-binding Proteins by In Vitro RNA Pull-down in Adipocyte Culture
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Cited by 19 •
2016
An RNA pull-down protocol is optimized here for detection of interactions between RNA-binding proteins (RBPs) and noncoding as well as coding RNAs. An RNA fragment from androgen receptor (AR) was used as an example to demonstrate how to retrieve its RBP from lystate of primary brown adipocytes.
08:32
Detection of the pH-dependent Activity of Escherichia coli Chaperone HdeB In Vitro and In Vivo
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2016
This study describes biophysical, biochemical and molecular techniques to characterize the chaperone activity of Escherichia coli HdeB under acidic pH conditions. These methods have been successfully applied for other acid-protective chaperones such as HdeA and can be modified to work for other chaperones and stress conditions.
09:58
Using RNA-sequencing to Detect Novel Splice Variants Related to Drug Resistance in In Vitro Cancer Models
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Cited by 25 •
2016
Here we describe a protocol aimed at investigating the impact of aberrant splicing on drug resistance in solid tumors and hematological malignancies. To this goal, we analyzed the transcriptomic profiles of parental and resistant in vitro models through RNA-seq and established a qRT-PCR based method to validate candidate genes.
06:00
SUMOylation Assay: An In Vitro Technique to Detect the SUMOylation Status of Substrate Proteins by Immunoblotting
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2025
This video demonstrates the in vitro method for SUMOylation of substrate proteins using a sequential enzyme cascade. Further, the SUMOylated status of the protein is identified using the electrophoresis and immunoblotting technique.
FAQs
A selective reaction or binding event links the target to a measurable readout. When a protein, nucleic acid, metabolite, or enzyme interacts with the selective assay system, the resulting change can appear as color, fluorescence, or an electrical response. Measuring that signal allows researchers to quantify molecular processes and compare samples within a controlled experimental framework.
Controlled conditions help researchers regulate the surroundings in which the target and detection system interact. This makes it easier to compare samples, examine molecular processes, and develop analytical methods that are faster and more reproducible. In biochemistry, such control also supports consistent measurements when researchers characterize enzymes, analyze biomarkers, or evaluate potential drug-related effects.
The approach can examine proteins, nucleic acids, metabolites, and enzymes, provided the assay uses a selective reaction or binding event that produces a measurable signal. This range makes it useful for studying both individual molecular components and biochemical changes represented in samples. The resulting measurements can support biomarker analysis, enzyme characterization, and broader molecular comparisons.
In vitro analysis examines an isolated target in a controlled laboratory sample rather than within a living organism. That separation allows researchers to control experimental conditions more precisely and focus on a selected molecular process. The approach is therefore valuable when the goal is to quantify a target, compare samples, or refine a reproducible analytical method.
A typical workflow begins by isolating the biological or chemical target from the sample. Researchers then expose it to a selective reaction or binding event and observe the resulting color, fluorescence, or electrical response. They measure that signal, use it to quantify the molecular process, and compare results across samples under controlled laboratory conditions.
This approach supports biomarker analysis, enzyme characterization, disease diagnostics, and drug development. It can reveal measurable differences between samples, provide information about enzyme-related processes, and help evaluate analytical methods before broader use. Because the experiment occurs under controlled conditions, researchers can focus on defined molecular targets while improving the speed and reproducibility of their measurements.