Cell-based Screening
Cell-based Screening - Related Videos
15:31
MISSION esiRNA for RNAi Screening in Mammalian Cells
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Cited by 17 •
2010
Here we use a human esiRNA library in a high-throughput screen for genes involved in cell division. We demonstrate how to set up and conduct an esiRNA screens, as well as how to analyze and validate the results.
03:23
Cell Death Screening Using DAPI Staining: A Method for Rapid Screening of IR Induced Clonogenic Cell Death in Cancerous Cell Lines
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2023
This video demonstrates the methodology to screen for major cell death profiles in ionizing radiation (IR) induced cancer cell lines using DAPI staining assay. The DAPI-stained nuclei of target cells undergoing cell death exhibit distinct morphologies and can be easily identified by fluorescence microscopy.
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.
08:50
Genetic Screens
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2023
Genetic screens are critical tools for defining gene function and understanding gene interactions. Screens typically involve mutating genes and then assessing the affected organisms for phenotypes of interest. The process can be “forward”, where mutations are generated randomly to identify unknown genes responsible for the phenotypes, or it can be “reverse”, where specific genes are targeted for mutation to observe what phenotypes are produced.Here, JoVE reviews various types of genetic...
06:40
A Robust Method for the Large-Scale Production of Spheroids for High-Content Screening and Analysis Applications
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Cited by 4 •
2021
This protocol details a method for the production of three different types of spheroids in a manner that makes them suitable for large-scale high-content screening and analysis. In addition, examples are presented showing how they can be analyzed at spheroid and individual cell levels.
FAQs
Living cells preserve interacting biological systems rather than presenting a single isolated molecular reaction. Consequently, a treatment can be evaluated through combined effects on survival, growth, morphology, signaling, or reporter activity. This broader biological context may expose responses that a biochemical assay does not capture, making cell-based results especially useful for identifying effects that require intact cellular processes.
Each indicator answers a different biological question. Survival and growth measurements describe overall cellular response, whereas morphology can reveal visible phenotype changes. Signaling or reporter activity can indicate pathway-specific responses. Comparing these readouts helps distinguish broad effects from more focused cellular changes, although the observed result still requires follow-up experiments to confirm its mechanism and relevance.
Controlled conditions make comparisons among samples more meaningful by ensuring that observed differences are associated with the tested gene, chemical, or treatment rather than unspecified environmental variation. Parallel measurement across many samples further supports comparison. Together, standardized conditions and consistent readouts help researchers identify reproducible changes in cellular behavior and prioritize findings for additional study.
A typical experiment begins with cultured cells placed under controlled conditions, followed by exposure to genes, chemicals, or other treatments. Researchers then measure selected outcomes, such as survival, growth, morphology, signaling, or reporter activity. Automated imaging and analysis can evaluate many samples in parallel, enabling comparisons that identify notable cellular responses for follow-up investigation.
Researchers can use this approach to identify potential drug candidates, assess toxicity, or detect disease-related phenotypes. It is also useful when the desired evidence depends on how intact cells respond rather than on the behavior of an isolated component. Results can help prioritize treatments or cellular changes for more focused experiments in basic and applied biology.
Screening results are treated as evidence for further investigation rather than as complete proof of mechanism or relevance. Follow-up experiments examine whether the observed cellular response is reproducible and clarify how the tested gene, chemical, or treatment produced it. This confirmation step helps separate informative candidates from responses that may not represent the intended biological process.