Isogenic Cell Lines
Isogenic Cell Lines - Related Videos
10:23
Isogenic Kidney Glomerulus Chip Engineered from Human Induced Pluripotent Stem Cells
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Cited by 11 •
2022
Presented here is a protocol to engineer a personalized organ-on-a-chip system that recapitulates the structure and function of the kidney glomerular filtration barrier by integrating genetically matched epithelial and vascular endothelial cells differentiated from human induced pluripotent stem cells. This bioengineered system can advance kidney precision medicine and related applications.
01:16
Cell Lines
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2023
A cell line is a population of cells grown in vitro that can be subcultured over several generations. Normal cells cease to divide after a certain number of cell divisions, a process known as replicative senescence. This number, called the Hayflick limit, was conceptualized by Leonard Hayflick in 1961 when he observed that fetal cells grown in culture could only divide 40-60 times. This limit is due to the shortening of the telomeres during each round of cell division, preventing cell division...
08:22
Cytotoxicity Assays with Zebrafish Cell Lines
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Cited by 7 •
2023
This protocol presents commonly used cytotoxicity assays (Alamar Blue [AB], CFDA-AM, Neutral Red, and MTT assays) adapted for the assessment of cytotoxicity in zebrafish embryo (ZEM2S) and liver (ZFL) cell lines in 96-well plates.
07:49
Transmitochondrial Cybrid Generation Using Cancer Cell Lines
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Cited by 3 •
2023
This protocol describes a technique for cybrid generation from suspension-growing cancer cells as a tool to study the role of mitochondria in the tumorigenic process.
11:39
Chromatin Immunoprecipitation (ChIP) in Mouse T-cell Lines
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Cited by 12 •
2017
This work describes a protocol for chromatin immunoprecipitation (ChIP) using a mature mouse T-cell line. This protocol is suitable to investigate the distribution of specific histone marks at specific promoter sites or genome-wide.
FAQs
They minimize genetic differences unrelated to the locus under investigation. When a modified line and its parental or control line are otherwise matched, observed changes in phenotype can be associated more directly with the introduced or corrected sequence. This design helps genetics researchers distinguish mutation-related effects from background variation between cell populations.
Identical culture conditions help prevent environmental differences from being mistaken for genetic effects. Researchers compare the modified and control populations under the same conditions so that differences in cellular behavior, disease-related characteristics, or treatment response are interpreted in the context of the targeted genetic change rather than unequal experimental handling.
Unrelated cell lines can differ at many genetic locations, making it difficult to attribute a phenotype to one mutation or engineered variant. Isogenic comparisons reduce that complication by keeping the genetic background closely matched. As a result, they provide a more controlled framework for testing gene function, disease mechanisms, and responses to compounds.
Scientists typically use genome-editing methods to introduce a specific sequence or correct an existing one at a defined genetic locus. The resulting population is then compared with an otherwise identical parental or control line. This workflow focuses the experiment on the selected genetic alteration while preserving the broader cellular background for comparison.
Researchers should examine the modified population alongside its parental or control counterpart and maintain the same culture conditions for both. They can then assess whether the targeted sequence is associated with a measurable phenotypic difference. This comparison supports interpretation of genotype-linked effects without attributing outcomes to unrelated differences between cell populations.
These lines support investigations of disease mechanisms, gene function, drug responses, and therapeutic resistance. In each case, the controlled genetic comparison can help reveal how a defined mutation or engineered variant influences cellular behavior or treatment sensitivity. Their matched design also promotes more reproducible experiments than studies relying only on unrelated cell lines.