High Throughput Screening
High Throughput Screening - Related Videos
09:44
High-throughput Screening for Chemical Modulators of Post-transcriptionally Regulated Genes
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2015
Here we describe a cell-based reporter gene assay as a valuable tool to screen chemical libraries for compounds modulating post-transcriptional control mechanisms exerted through 3’ UTR.
08:10
Multi-enzyme Screening Using a High-throughput Genetic Enzyme Screening System
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Cited by 7 •
2016
This work presents a method of high-throughput screening using a universal genetic enzyme screening system that can be theoretically applied to over 200 enzymes. Here, the single screening system identifies three different enzymes (lipase, cellulase, and alkaline phosphatase) by simply changing the substrate used (p-nitrophenyl acetate, p-nitrophenyl-β-D-cellobioside, and phenyl phosphate).
06:19
High-Throughput Screening to Obtain Crystal Hits for Protein Crystallography
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Cited by 16 •
2023
This protocol details high-throughput crystallization screening, ranging from the 1,536 microassay plate preparation to the end of a 6 week experimental time window. Details are included about the sample setup, the imaging obtained, and how users can perform analyses using an artificial intelligence-enabled graphical user interface to quickly and efficiently identify macromolecular crystallization conditions.
14:53
High-throughput Screening and Biosensing with Fluorescent C. elegans Strains
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Cited by 63 •
2011
A procedure for liquid-based culturing and dispensing of C. elegans strains expressing fluorescent reporter proteins is described that does not require expensive sorting equipment. This approach can be applied to numerous inducible C. elegans genes for drug discovery or biosensing of contaminants.
08:12
High-throughput Screening for Protein-based Inheritance in S. cerevisiae
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Cited by 2 •
2017
This protocol describes a high-throughput methodology to functionally screen for protein-based inheritance in S. cerevisiae.
FAQs
Miniaturization and parallel processing are central to the method’s scale. Small-volume assay formats allow many library members, perturbations, or biological conditions to be handled in parallel, while robotic liquid handling standardizes sample transfer. This combination increases testing capacity and helps apply comparable conditions across wells or samples, supporting systematic measurement of effects on cells, proteins, or other targets.
Readout selection determines what biological change becomes measurable. Fluorescence, luminescence, absorbance, and imaging can provide different forms of evidence about activity, depending on assay design. Computational analysis then compares observed signals with background variation, helping separate candidate hits from nonspecific or insignificant measurements before resources are committed to follow-up studies.
A hit from a primary screen is only a starting point, not proof of a useful biological effect. Confirmatory assays examine hit specificity, potency, and biological relevance. These checks help determine whether a candidate acts on the intended target or produces a meaningful response, guiding decisions about which molecules, perturbations, or conditions deserve deeper investigation.
The workflow connects library preparation, automated liquid handling, assay execution, signal capture, and computational review. Samples may represent compounds, genetic perturbations, or biological conditions, and miniaturized formats permit parallel testing. After a measurable response is recorded through fluorescence, luminescence, absorbance, or imaging, analysis identifies candidates for confirmatory assays rather than treating every signal as a final result.
High-throughput screening is especially useful when a biological question requires comparison across many candidate molecules or conditions. In drug discovery, it can identify compounds for follow-up; in target validation and functional genomics, it can reveal effects associated with genetic perturbations or pathways. Toxicology applications use the same screening logic to examine biological responses across tested conditions.
Genetic perturbations extend screening beyond compound libraries by allowing biological conditions to be compared through changes introduced into a system. Measuring resulting effects can support target validation and functional genomics, while the same framework can examine cellular responses relevant to toxicology. Follow-up assays remain necessary to determine whether an observed effect is specific and biologically meaningful.