Related Experiment Video
Updated: Feb 4, 2026

09:22
In Vitro Aggregation Assays Using Hyperphosphorylated Tau Protein
Published on: January 2, 2015
19.0K
Minimalistic in vitro systems for investigating tau pathology
Grace I Hallinan1, Aleksandra P Pitera1, Prutha Patel1
1Biological Sciences, University of Southampton, UK.
Journal of Neuroscience Methods
|October 3, 2018
Summary
Pathogenic tau protein spreads like a prion in the brain, contributing to neurodegenerative diseases like Alzheimer's disease. This review explores models and studies investigating how tau pathology propagates between neurons.
Area of Science:
- Neuroscience
- Pathology
- Biochemistry
Background:
- Neurofibrillary tangles, composed of hyperphosphorylated tau, are key markers of Alzheimer's disease (AD) and frontotemporal dementia.
- Tau pathology spreads through connected neuronal circuits, indicating a progressive nature in AD.
- Pathogenic tau acts as a prion-like seed, promoting misfolding of native tau and disease dissemination.
Purpose of the Study:
- To review in vitro models used to study tau propagation.
- To summarize key findings on the mechanisms of tau pathology spread in neurodegenerative diseases.
- To elucidate the intercellular and interregional spread of tau.
Main Methods:
- Review of in vitro experimental models for tau propagation.
- Synthesis of findings from published research studies on tauopathy mechanisms.
- Analysis of neuroanatomical distribution of tau pathology in disease progression.
Main Results:
- Tau pathology exhibits a predictable spread pattern along neuronal networks in AD.
- Prion-like seeding mechanism is implicated in the propagation of tau misfolding.
- Various in vitro models have been developed to investigate tau spread dynamics.
Conclusions:
- Understanding tau propagation mechanisms is crucial for developing effective AD therapies.
- Further research using advanced models is needed to fully decipher tau spread.
- Targeting tau seeding and spread holds therapeutic potential for neurodegenerative diseases.
Related Concept Videos
Kendall's Tau Test
1.2K
Kendall's tau test, also known as the Kendall rank coefficient test, is a nonparametric method for assessing association between two variables. This test is particularly useful for identifying significant correlations when the distributions of the sample and population are unknown. Developed in 1938 by the British statistician Sir Maurice George Kendall, the tau coefficient (denoted as τ) serves as a rank correlation coefficient, with values ranging from -1 to +1.
A τ value of +1 indicates...
A τ value of +1 indicates...
1.2K
Second Order systems II
408
In an underdamped second-order system, where the damping ratio ζ is between 0 and 1, a unit-step input results in a transfer function that, when transformed using the inverse Laplace method, reveals the output response. The output exhibits a damped sinusoidal oscillation, and the difference between the input and output is termed the error signal. This error signal also demonstrates damped oscillatory behavior. Eventually, as the system reaches a steady state, the error diminishes to zero.
408
First Order Systems
430
First-order systems, such as RC circuits, are foundational in understanding dynamic systems due to their straightforward input-output relationship. Analyzing their responses to different input functions under zero initial conditions reveals significant insights into system behavior.
When a first-order system is subjected to a unit-step input, its response is characterized by its transfer function. By applying the Laplace transform of the unit-step input to the transfer function, expanding the...
When a first-order system is subjected to a unit-step input, its response is characterized by its transfer function. By applying the Laplace transform of the unit-step input to the transfer function, expanding the...
430
Second Order systems I
598
A servo system exemplifies a second-order system, featuring a proportional controller and load elements that ensure the output position aligns with the input position. The relationship between these components is described by a second-order differential equation. Applying the Laplace transform under zero initial conditions yields the transfer function, showing how inputs are converted to outputs in the system.
By reinterpreting the system, one can derive the closed-loop transfer function, which...
By reinterpreting the system, one can derive the closed-loop transfer function, which...
598
Thermodynamic Systems
8.1K
A thermodynamic system is a set of objects whose thermodynamic properties are of interest. The system is considered to be embedded in its surroundings or the environment. The system and its environment can exchange heat and do work on each other through a boundary that separates them. However, the immediate surroundings of the system interact with it directly and therefore have a much stronger influence on its behavior and properties.
Consider an example of tea boiling in a kettle. The...
Consider an example of tea boiling in a kettle. The...
8.1K
Classification of Systems-I
594
Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
594

