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.
12:04
Microfluidic Picoliter Bioreactor for Microbial Single-cell Analysis: Fabrication, System Setup, and Operation
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Cited by 75 •
2013
In this protocol the fabrication, setup and basic operation of a microfluidic picoliter bioreactor (PLBR) for single-cell analysis of prokaryotic microorganisms is introduced. Industrially relevant microorganisms were analyzed as proof of principle allowing insights into growth rate, morphology, and phenotypic heterogeneity over certain time periods, hardly possible with conventional methods.
11:36
Rapid and Efficient Generation of Recombinant Human Pluripotent Stem Cells by Recombinase-mediated Cassette Exchange in the AAVS1 Locus
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Cited by 3 •
2016
Here we report a rapid and efficient gene editing method based on RMCE in the AAVS1 locus of human Pluripotent Stem Cells (hPSCs) that improves upon previously described systems. Using this technique, isogenic lines can be rapidly and reliably generated for proper comparative studies, facilitating transgenesis-mediated research with hPSCs.
11:01
The Use of Flow Cytometry to Assess the State of Chromatin in T Cells
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Cited by 6 •
2015
Flow cytometry can be utilized to assess the state of chromatin within T cells. This protocol allows scientists to interpret evidence of chromatin decondensation during T cell activation demonstrated by an increase in the mean florescence intensity (MFI) of fluorescent Histone H3...
10:04
Tractable In Vivo Reprogramming of Tumor Cells to Type 1 Conventional Dendritic Cell-like Cells
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2025
This protocol describes the in vivo reprogramming of mouse cancer cells into type 1 dendritic-like cells within the tumor microenvironment through enforced expression of the transcription factors PU.1, IRF8, and BATF3.
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.