Jove
Visualize
お問い合わせ
JoVE
x logofacebook logolinkedin logoyoutube logo
JoVEについて
概要リーダーシップブログJoVEヘルプセンター
著者向け
出版プロセス編集委員会範囲と方針査読よくある質問投稿
図書館員向け
推薦の声購読アクセスリソース図書館諮問委員会よくある質問
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experimentsアーカイブ
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教員リソースセンター教員サイト
利用規約
プライバシーポリシー
ポリシー

関連する概念動画

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

こちらも読む

関連記事

共著者、ジャーナル、引用グラフによってこの研究に関連する記事。

並び替え
Same author

Subtherapeutic posaconazole exposure during delayed-release tablet prophylaxis in high-risk patients with haematological malignancies: rationale for routine therapeutic drug monitoring.

The Journal of antimicrobial chemotherapy·2026
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

関連する実験動画

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

アミロイドの硬さと大きさの逆相関

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
まとめ

アミロイド線維細胞の硬さは サイズが大きくなるにつれて減少します 狭いアミロイド繊維は,残留物と水素結合 (H結合) の最適化パッキングにより,機械的安定性を高めます.

さらに関連する動画

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

関連する実験動画

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

科学分野:

  • バイオ物理学
  • 材料科学
  • 構造生物学

背景:

  • アミロイド線維は様々な病気に関与するタンパク質の集合体です.
  • アミロイド線維の機械的性質は,その機能と病理を理解するために重要です.
  • 以前の研究では,アミロイド線維のサイズと機械的性質の関係が完全に解明されていません.

研究 の 目的:

  • アミロイド線維の軸の硬さと横断面の相関を調査する.
  • 観察された硬さ-サイズ関係を駆動する基本的な分子メカニズムを理解する.
  • このサイズ依存性がアミロイド繊維の一般的な特徴であるかどうかを判断する.

主な方法:

  • アミロイド繊維の機械的性質をモデル化し分析するために,シリコ計算を用いた.
  • 軸の硬さと横断面の面積を測定し,相関させました.
  • 水素結合 (H結合) 密度と残留包装を繊維の大きさに関連して分析した.

主要な成果:

  • アミロイド線維の軸の硬さと横断面の間の有意な逆相関が発見されました.
  • より大きな半径を持つアミロイド線維は,より柔らかく,H結合密度が低いことが判明しました.
  • シリコ分析では,残留物とH結合の密度が,硬さと大きさの関係を決定することを確認した.

結論:

  • アミロイド繊維のナモメカニクスはサイズに依存し,より狭い繊維はより高い硬さを示します.
  • 繊維コアにおける残留物とH結合の最適化により,より狭い繊維の機械的安定性が向上する.
  • このサイズに依存する機械的性質は,アミロイド線維の全体的な特徴であり,そのクロスβシート構造に似ています.