3d Genome Structure
3d Genome Structure - Related Videos
13:43
Correlative Microscopy for 3D Structural Analysis of Dynamic Interactions
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Cited by 15 •
2013
We describe a correlative microscopy method that combines high-speed 3D live-cell fluorescent light microscopy and high-resolution cryo-electron tomography. We demonstrate the capability of the correlative method by imaging dynamic, small HIV-1 particles interacting with host HeLa cells.
01:26
Size and Structure of Viral Genomes
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2025
Viral genomes exhibit remarkable diversity in size, structure, and composition, influencing their replication strategies and interactions with host cells. These genomes consist of either DNA or RNA and may be linear or circular. Additionally, they can be single-stranded or double-stranded, with each configuration affecting how the virus propagates within a host. RNA viruses, for instance, generally have smaller genomes than DNA viruses, a factor that contributes to their high mutation rates and...
08:00
Imaging and 3D Reconstruction of Cerebrovascular Structures in Embryonic Zebrafish
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Cited by 1 •
2014
Imaging of cerebrovascular development in larval zebrafish is described. Techniques to facilitate 3D imaging and modify cerebrovascular development using chemical treatments are also provided.
02:02
Genomics
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2020
Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
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
Different folding levels help organize regulatory communication. Nucleosome packing compacts DNA into chromatin, while chromatin loops bring regulatory elements into contact with target genes. These contacts create spatial relationships that can influence how genetic information is used. Examining this hierarchy connects local DNA packaging with broader chromosome organization.
Chromatin loops matter because they can place regulatory elements near the genes they influence, even when those elements are separated along the DNA sequence. This spatial proximity provides a structural basis for gene regulation. Studying such loops helps explain how the same genome can support different patterns of genetic activity.
Its organization can vary with cell type, developmental state, and cellular signals. Genetic or epigenetic changes may also affect these spatial relationships. Such variation helps connect genome organization with changing cellular behavior, making three-dimensional analysis useful for examining development and for investigating how altered regulation may contribute to disease mechanisms.
Chromosome conformation capture methods reveal which regions of the genome come into spatial contact within the nucleus. They are especially useful for examining interactions such as chromatin loops and regulatory element to target-gene contacts. These measurements provide evidence about genome folding that cannot be inferred from the linear DNA sequence alone.
Microscopy and computational modeling provide complementary ways to investigate spatial genome relationships. Microscopy examines chromosome organization in the nucleus, whereas computational modeling helps represent or analyze the three-dimensional arrangements suggested by experimental observations. Together with chromosome conformation capture, these approaches support a broader view of how DNA is organized in cells.
This approach is useful when researchers need to connect spatial chromosome organization with gene regulation, chromosome segregation, or genome stability. It also supports studies of development, disease mechanisms, and the effects of genetic or epigenetic changes. Comparing organizational patterns across cellular states can clarify how nuclear architecture relates to biological outcomes.