Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Amyloid Fibrils03:03

Amyloid Fibrils

11.9K
Amyloid fibrils are aggregates of misfolded proteins.  Under most circumstances, misfolded proteins are either refolded by chaperone proteins or degraded by the proteasome. However, in the case of a mutation or a disease, these proteins can accumulate to form large clusters and often further assemble to form elongated fibers, called fibrils. 
Amyloid deposits were observed as early as 1639 in the liver and the spleen.   In 1854, Rudolph Virchow performed iodine staining,...
11.9K
Amyloid Fibrils03:03

Amyloid Fibrils

6.4K
6.4K
Correlations02:20

Correlations

35.9K
Correlation means that there is a relationship between two or more variables (such as ice cream consumption and crime), but this relationship does not necessarily imply cause and effect. When two variables are correlated, it simply means that as one variable changes, so does the other. We can measure correlation by calculating a statistic known as a correlation coefficient. A correlation coefficient is a number from -1 to +1 that indicates the strength and direction of the relationship between...
35.9K
Correlation and Causation01:27

Correlation and Causation

42.6K
Statistical tests can calculate whether there is a relationship, or correlation, between independent and dependent variables. An indirect relationship of the variables signifies a correlation, while a direct relationship shows causation. If it is determined that no connection exists between the variables, then the correlation is a coincidence.
Correlation versus Causation
If the dependent variable increases or decreases when the independent variable increases, there is a positive or negative...
42.6K
Inverse Trigonometric Functions01:29

Inverse Trigonometric Functions

272
Inverse trigonometric functions are fundamental mathematical tools that reverse the actions of standard trigonometric functions. While trigonometric functions map angles to ratios, inverse trigonometric functions perform the opposite operation by mapping a ratio back to its corresponding angle. These functions are essential in various applications, particularly in determining angles when given specific distances, such as calculating elevation angles in navigation and engineering.For a function...
272
Correlation01:09

Correlation

15.1K
In statistics, two variables are said to be correlated if the values of one variable are associated with the other variable. Depending on the relationship between two variables, correlation can be of three types– positive correlation, negative correlation, and zero correlation.
Two variables, for example, a and b, are said to be positively correlated if both variables move in the same direction. In other words, a positive correlation exists between two variables, a and b, if:
15.1K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Predicting molecular recognition features in protein sequences with MoRFchibi 2.0.

BMC bioinformatics·2026
Same author

Preventing Cat-Astrophe: Toxoplasma Seroprevalence and Prophylaxis Adherence After Allogeneic Stem Cell Transplant.

Transplant infectious disease : an official journal of the Transplantation Society·2026
Same author

Sum-of-Checks: structured reasoning for surgical safety with large vision-language models.

International journal of computer assisted radiology and surgery·2026
Same author

CAMEL: An ECG Language Model for Forecasting Cardiac Events.

ArXiv·2026
Same author

Insulin receptor trafficking and interactions in muscle cells.

Journal of the Endocrine Society·2026
Same author

Predicting protein interfaces in the age of AlphaFold: Why dynamics and disorder remain a challenge.

Cell systems·2026

Related Experiment Video

Updated: Jan 31, 2026

Use of Two Dimensional Semi-denaturing Detergent Agarose Gel Electrophoresis to Confirm Size Heterogeneity of Amyloid or Amyloid-like Fibers
10:10

Use of Two Dimensional Semi-denaturing Detergent Agarose Gel Electrophoresis to Confirm Size Heterogeneity of Amyloid or Amyloid-like Fibers

Published on: April 26, 2018

10.5K

Inverse Correlation between Amyloid Stiffness and Size.

Roy Nassar1,2,3, Eric Wong3,4, Jörg Gsponer3,4

  • 1Laufer Center for Physical and Quantitative Biology , Stony Brook University , Stony Brook , New York 11794-5252 , United States.

Journal of the American Chemical Society
|December 19, 2018
PubMed
Summary

Amyloid fibril stiffness decreases as their size increases. Narrower amyloid fibrils are stiffer due to optimized packing of residues and hydrogen bonds (H-bonds), enhancing mechanical stability.

More Related Videos

Correlative Light and Electron Microscopy to Study Microglial Interactions with β-Amyloid Plaques
10:52

Correlative Light and Electron Microscopy to Study Microglial Interactions with β-Amyloid Plaques

Published on: June 1, 2016

12.0K
Simple Polyacrylamide-based Multiwell Stiffness Assay for the Study of Stiffness-dependent Cell Responses
07:45

Simple Polyacrylamide-based Multiwell Stiffness Assay for the Study of Stiffness-dependent Cell Responses

Published on: March 25, 2015

20.7K

Related Experiment Videos

Last Updated: Jan 31, 2026

Use of Two Dimensional Semi-denaturing Detergent Agarose Gel Electrophoresis to Confirm Size Heterogeneity of Amyloid or Amyloid-like Fibers
10:10

Use of Two Dimensional Semi-denaturing Detergent Agarose Gel Electrophoresis to Confirm Size Heterogeneity of Amyloid or Amyloid-like Fibers

Published on: April 26, 2018

10.5K
Correlative Light and Electron Microscopy to Study Microglial Interactions with β-Amyloid Plaques
10:52

Correlative Light and Electron Microscopy to Study Microglial Interactions with β-Amyloid Plaques

Published on: June 1, 2016

12.0K
Simple Polyacrylamide-based Multiwell Stiffness Assay for the Study of Stiffness-dependent Cell Responses
07:45

Simple Polyacrylamide-based Multiwell Stiffness Assay for the Study of Stiffness-dependent Cell Responses

Published on: March 25, 2015

20.7K

Area of Science:

  • Biophysics
  • Materials Science
  • Structural Biology

Background:

  • Amyloid fibrils are protein aggregates implicated in various diseases.
  • The mechanical properties of amyloid fibrils are crucial for understanding their function and pathology.
  • Previous research has not fully elucidated the relationship between amyloid fibril size and mechanical properties.

Purpose of the Study:

  • To investigate the correlation between the axial stiffness and cross-sectional area of amyloid fibrils.
  • To understand the underlying molecular mechanisms driving the observed stiffness-size relationship.
  • To determine if this size dependence is a general characteristic of amyloid fibrils.

Main Methods:

  • In silico calculations were employed to model and analyze the mechanical properties of amyloid fibrils.
  • Axial stiffness and cross-sectional area were measured and correlated.
  • Hydrogen bond (H-bond) density and residue packing were analyzed in relation to fibril dimensions.

Main Results:

  • A significant inverse correlation was found between the axial stiffness and cross-sectional area of amyloid fibrils.
  • Amyloid fibrils with larger radial sizes were found to be softer and possess lower H-bond densities.
  • In silico analysis confirmed that residue and H-bond packing densities drive the stiffness-size relationship.

Conclusions:

  • The nanomechanics of amyloid fibrils are size-dependent, with narrower fibrils exhibiting higher stiffness.
  • Optimized packing of residues and H-bonds in the fibrillar core contributes to increased mechanical stability in narrower fibrils.
  • This size-dependent mechanical property is a global characteristic of amyloid fibrils, similar to their cross-β sheet structure.