Oligomer Size Distribution
Oligomer Size Distribution - Related Videos
04:19
Size-Exclusion Chromatography with Multi-Angle Light Scattering for Protein Oligomers
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2025
This video describes SEC-MALS, which leverages the abilities of size-exclusion chromatography (SEC) and multi-angle light scattering (MALS). In SEC-MALS, the SEC separates proteins or protein complexes based on their size, and the MALS detector determines the average molecular weight by measuring the intensity of the light scattered by the molecule at different angles.
01:23
Pore Size Distribution
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2024
In concrete, the pore size distribution significantly influences the material's properties. Capillary pores, markedly larger than gel pores, form a vast network within partially hydrated cement paste, reducing the concrete's strength and increasing its permeability. This heightened permeability leads to a greater risk of damage from environmental factors like freeze-thaw cycles and chemical attacks, with the extent of vulnerability also being tied to the water-to-cement ratio. Adequate...
04:48
Automated Capillary Electrophoresis Based Fragment Size Distribution Analysis of cfDNA: A DNA Microchip-based Method to Study Size Distribution of DNA Fragments Isolated from Biofluids
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2025
In this video, we analyze the size distribution of cell-free DNA or cfDNA fragments using automated capillary electrophoresis. This technique helps gain insights into the profile of DNA fragments released by cancer cells during apoptosis.
16:59
Computer-assisted Large-scale Visualization and Quantification of Pancreatic Islet Mass, Size Distribution and Architecture
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Cited by 14 •
2011
Novel computer-assisted methods of large-scale procurement and analysis of immunohistochemically stained pancreatic specimens are described: (1) Virtual Slice capture of the entire section; (2) Mass analysis of large-scale data; (3) Reconstruction of 2D Virtual Slices; (4) 3D islet mapping; and (5) Mathematical analysis.
08:46
Analysis and Specification of Starch Granule Size Distributions
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Cited by 2 •
2021
Presented here is a procedure for reproducible and statistically valid determinations of starch granule size distributions, and for specifying the determined granule lognormal size distributions using a two-parameter multiplicative form. It is applicable to all granule sizing analyses of gram-scale starch samples for plant and food science research.
FAQs
Association and dissociation determine whether subunits remain together or separate, while binding affinity influences how strongly they interact. Higher subunit concentration can favor encounters that support assembly, whereas temperature and solution conditions can shift the balance. Measuring the resulting species helps connect molecular interactions with observed monomers, dimers, and larger assemblies.
Binding affinity, subunit concentration, temperature, and solution conditions can all change the relative abundance of different assemblies. A change in these variables may increase the proportion of smaller species, promote larger complexes, or alter the overall pattern. Comparing measurements made under controlled conditions therefore helps identify which factors influence molecular organization.
A changed distribution can indicate that a molecular assembly has become more or less stable under a particular condition. Shifts toward different oligomer sizes may reflect altered association or dissociation, changes in assembly pathways, or aggregation. These patterns provide a way to distinguish ordinary structural variation from condition-dependent misassembly.
Researchers measure molecular assemblies under defined solution conditions and use analytical measurements capable of distinguishing monomers, dimers, and larger oligomers. The relative abundance of each detected size is then compared across samples or conditions. This workflow links an observed molecular profile to changes in stability, assembly behavior, or aggregation without relying on a single oligomeric species.
The distribution helps characterize how proteins organize into assemblies relevant to their function. For enzymes, changes in oligomeric state can inform studies of regulation, while receptor assemblies can provide context for signaling. Examining these patterns alongside experimental conditions allows researchers to investigate whether molecular organization changes with stability, regulation, or higher-order complex formation.
Comparing oligomeric profiles can expose disease-related misassembly or aggregation by showing how assemblies differ from those observed under other conditions. The same information can support therapeutic design by identifying molecular organization patterns associated with stability or undesirable complex formation. It also helps connect molecular-level changes with broader cellular mechanisms under investigation.