Ploidy Analysis
Ploidy Analysis - Related Videos
08:41
Isolation of Cardiomyocytes from Fixed Hearts for Immunocytochemistry and Ploidy Analysis
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Cited by 11 •
2020
The goal of this work is to develop a method to reproducibly isolate cardiomyocytes from the adult heart and measure DNA content and nucleation.
07:54
Manipulation of Ploidy in Caenorhabditis elegans
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Cited by 8 •
2018
This method allows for the generation of tetraploid and triploid Caenorhabditis nematodes from any diploid strain. Polyploid strains generated by this method have been used to study chromosome interactions in meiotic prophase, and this method is useful for examining important basic questions in cell, developmental, evolutionary, and cancer biology.
07:03
Mouse Oocyte Microinjection, Maturation and Ploidy Assessment
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Cited by 75 •
2011
Oocytes are prone to aneuploidy due to errors in chromosome segregation during meiotic maturation. Aneuploid eggs can cause infertility, miscarriages or developmental disorders like Down syndrome. Here, we describe methods to introduce materials of choice into oocytes and methods to study meiotic maturation and assess ploidy.
12:32
Chromosome Screening of Human Preimplantation Embryos by Using Spent Culture Medium: Sample Collection and Chromosomal Ploidy Analysis
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Cited by 20 •
2021
The present study reports a protocol for chromosome screening of human embryos that uses spent culture medium, which avoids embryo biopsy and enables chromosome ploidy identification using NGS. The present article presents the detailed procedure, including the preparation of culture medium, whole genome amplification (WGA), next-generation sequencing (NGS) library preparation, and data analysis.
08:44
A High-Throughput In Situ Method for Estimation of Hepatocyte Nuclear Ploidy in Mice
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Cited by 1 •
2020
We present a robust, cost-effective, and flexible method for measuring changes in hepatocyte number and nuclear ploidy within fixed/cryopreserved tissue samples that does not require flow cytometry. Our approach provides a powerful sample-wide signature of liver cytology ideal for tracking the progression of liver injury and disease.
FAQs
In flow cytometry, cellular DNA is stained and the resulting fluorescence is measured as an estimate of DNA content. Differences in signal allow researchers to compare cells or embryos containing haploid, diploid, or polyploid chromosome sets. This provides a population-level view of genome organization and helps identify developmental states associated with genome duplication.
Chromosome-based methods examine dividing cells and can identify numerical chromosome changes directly. Flow cytometry instead estimates DNA content from fluorescence across measured cells. Using the two approaches provides complementary information: fluorescence supports comparisons among cell populations, whereas chromosome analysis can reveal chromosome-number differences in individual dividing-cell contexts.
Changes in chromosome number can alter cell proliferation, differentiation, fertility, and tissue formation. Comparing haploid, diploid, and polyploid cells or embryos therefore helps connect genome duplication or imbalance with developmental outcomes. These comparisons are particularly useful for examining how altered genome organization influences embryogenesis and the formation of developmental abnormalities.
A typical workflow stains the DNA within cells and then measures fluorescence with flow cytometry. The measured signal is used to estimate DNA content and compare samples containing different chromosome-set states. In developmental studies, researchers can apply this comparison to cells or embryos to relate genome content to developmental state, proliferation, or tissue formation.
Chromosome-based analysis is especially useful when the research question concerns numerical chromosome changes in dividing cells. Rather than relying only on a fluorescence-based estimate of DNA content, this approach identifies chromosome-number differences directly. It can therefore strengthen investigations of chromosome imbalance during development and help characterize abnormalities associated with altered chromosome complements.
Researchers use ploidy analysis to compare genome states during embryogenesis, investigate developmental abnormalities, and evaluate models in which chromosome number is experimentally manipulated. The resulting measurements connect altered ploidy with proliferation, differentiation, fertility, and tissue formation. This makes the approach useful for studying how genome duplication influences developmental progression and organization.