Genomic Instability
Genomic Instability - Related Videos
08:46
Studying Age-dependent Genomic Instability using the S. cerevisiae Chronological Lifespan Model
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Cited by 13 •
2011
Here we describe a set of DNA mutation assays that can be combined with the yeast chronological life span model to study the genes/pathways that regulate or contribute to genomic DNA instability during aging.
02:17
Microtubule Instability
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2023
Microtubules are hollow cylindrical filaments having a diameter of approximately 25 nm and a length that varies from 200 nm to 25 μm. GTP-bound tubulin subunits form αβ-heterodimers for microtubule assembly. These core building blocks interact longitudinally, polymerizing into protofilaments. The protofilaments then interact with one another through lateral bonding forces to form stable cylindrical microtubules. These cylindrical filaments are dynamic as they undergo repeated assembly and...
02:17
Microtubule Instability
0 Views •
2021
Microtubules are hollow cylindrical filaments having a diameter of approximately 25 nm and a length that varies from 200 nm to 25 μm. GTP-bound tubulin subunits form αβ-heterodimers for microtubule assembly. These core building blocks interact longitudinally, polymerizing into protofilaments. The protofilaments then interact with one another through lateral bonding forces to form stable cylindrical microtubules. These cylindrical filaments are dynamic as they undergo repeated assembly and...
06:42
Magnetically Induced Rotating Rayleigh-Taylor Instability
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Cited by 5 •
2017
We present a protocol for preparing a two-layer density-stratified liquid that can be spun-up into solid body rotation and subsequently induced into Rayleigh-Taylor instability by applying a gradient magnetic field.
08:31
Isolation and Genome Analysis of Single Virions using 'Single Virus Genomics'
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Cited by 2 •
2013
Single Virus Genomics (SVG) is a method to isolate and amplify the genomes of single virons. Viral suspensions of a mixed assemblage are sorted using flow cytometry onto a microscope slide with discrete wells containing agarose, thereby capturing the virion and reducing genome shearing during downstream processing. Whole genome amplification is achieved using multiple displacement amplification (MDA) resulting in genomic material that is suitable for sequencing.
FAQs
Errors introduced during DNA replication can remain in the genetic material when cellular correction systems do not remove them. Their persistence allows mutations to accumulate over time, potentially changing cellular function. This mechanism links ordinary genome copying with the gradual development of altered traits within cells and helps explain why replication accuracy is central to genome integrity.
DNA repair systems correct damage or copying errors, while cell-cycle checkpoints help prevent cells from continuing through division when problems remain. If either function fails, damaged or altered genetic material may be retained and passed to daughter cells. Studying both systems therefore clarifies how cells contain genome changes and why their failure can increase mutation accumulation.
Mutations alter genetic information, whereas chromosomal changes affect larger-scale genome organization, such as chromosome structure or number. Both can disrupt cellular function, but they represent different levels of genetic alteration. Considering them separately helps researchers identify whether a cellular trait reflects a change within genetic material or a broader rearrangement of the genome.
As cells accumulate mutations, DNA damage, or chromosomal changes, genetically distinct cell populations can arise within the same tissue. These differences may produce altered cellular traits and create variation among neighboring cells. Studying this process helps explain how tissue-level diversity develops from changes that occur during the life of individual cells.
In cancer research, accumulating mutations and chromosome rearrangements are examined as changes that can support tumor initiation and progression. The same instability may also contribute to treatment resistance by increasing variation among tumor cells. This makes genome integrity an important context for understanding how cancers emerge, change over time, and respond differently to treatment.
Researchers can use genomic instability as a framework for connecting DNA replication errors, damage, and failed control systems with altered cellular traits. The concept also helps relate genome changes to genetic variation within tissues and to cancer-related outcomes. Its value lies in linking molecular disruptions to broader biological changes in cells and organisms.