Epigenetic State Tracking
Epigenetic State Tracking - Related Videos
10:21
An Overview of Epigenetics
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2023
Since the early days of genetics research, scientists have noted certain heritable phenotypic differences that are not due to differences in the nucleotide sequence of DNA. Current evidence suggests that these “epigenetic” phenomena might be controlled by a number of mechanisms, including the modification of DNA cytosine bases with methyl groups, the addition of various chemical groups to histone proteins, and the recruitment of protein factors to specific DNA sites via interactions with...
01:46
Epigenetic Regulation
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2019
Epigenetic mechanisms play an essential role in healthy development. Conversely, precisely regulated epigenetic mechanisms are disrupted in diseases like cancer. In most mammals, females have two X chromosomes (XX) while males have an X and a Y chromosome (XY). The X chromosome contains significantly more genes than the Y chromosome. Therefore, to prevent an excess of X chromosome-linked gene expression in females, one of the two X chromosomes is randomly silenced during early development.
01:46
Epigenetic Regulation
0 Views •
2020
Epigenetic mechanisms play an essential role in healthy development. Conversely, precisely regulated epigenetic mechanisms are disrupted in diseases like cancer. In most mammals, females have two X chromosomes (XX) while males have an X and a Y chromosome (XY). The X chromosome contains significantly more genes than the Y chromosome. Therefore, to prevent an excess of X chromosome-linked gene expression in females, one of the two X chromosomes is randomly silenced during early development.
01:37
Epigenetic Regulation
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2023
Epigenetic changes alter the physical structure of the DNA without changing the genetic sequence and often regulate whether genes are turned on or off. This regulation ensures that each cell produces only proteins necessary for its function. For example, proteins that promote bone growth are not produced in muscle cells. Epigenetic mechanisms play an essential role in healthy development. Conversely, precisely regulated epigenetic mechanisms are disrupted in diseases like cancer. X-chromosome...
13:03
Epigenetic Regulation of Cardiac Differentiation of Embryonic Stem Cells and Tissues
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Cited by 3 •
2016
A fine tuning regulation of gene transcription underlies embryonic cell fate decision. Herein, we describe chromatin immunoprecipitation assays used to investigate epigenetic regulation of both cardiac differentiation of stem cells and cardiac development of mouse embryos.
FAQs
The central logic is to compare regulatory measurements with gene-expression patterns at defined time points or across distinct cell states. DNA methylation, histone modifications, chromatin accessibility, and regulatory RNA provide complementary views of the regulatory state. Following their concordance or divergence can show when a state emerges, persists, or changes during a biological process.
These measurements capture different layers of gene regulation rather than interchangeable evidence. DNA methylation, histone modifications, chromatin accessibility, and regulatory RNA can each be measured alongside expression patterns, allowing investigators to compare whether several regulatory signals shift together. That combined view helps characterize a broader change in cellular regulatory state than any single molecular feature alone.
Time-resolved sampling reveals the order and persistence of regulatory changes. A measurement from one time point may show that a molecular mark and an expression pattern coexist, whereas repeated sampling can indicate when the pattern arises or changes. This is especially relevant for studying differentiation, cellular memory, responses to environmental signals, and disease-associated reprogramming.
A basic workflow selects one or more regulatory readouts, such as DNA methylation, histone modifications, chromatin accessibility, or regulatory RNA, and collects samples across time or defined cell states. Researchers then compare those measurements with gene-expression patterns. The resulting relationships help identify regulatory states associated with particular stages, identities, functions, or biological responses.
In developmental biology, the approach can follow how regulatory states accompany differentiation and help maintain cell identity. Comparing samples from different cell states also supports studies of cellular memory, where a regulatory pattern is examined across changing conditions or stages. These applications help connect molecular regulation with the maintenance or change of cellular function.
Disease research can use these measurements to examine reprogramming of regulatory states and relate those changes to altered gene-expression patterns. The same strategy supports biomarker discovery by identifying molecular states associated with a condition. When an intervention targets gene regulation, tracking changes before and after treatment can help evaluate whether the regulatory state has shifted.