Related Experiment Video

Updated: Feb 9, 2026

Examining Changes in HRV and Emotion Following Artmaking with Three Different Art Materials
06:24

Examining Changes in HRV and Emotion Following Artmaking with Three Different Art Materials

Published on: January 11, 2020

6.7K

Systemic amyloidoses and proteomics: The state of the art

Francesca Lavatelli1, Andrea di Fonzo1, Giovanni Palladini1

  • 1Amyloidosis Research and Treatment Center and Department of Molecular Medicine, Fondazione IRCCS Policlinico San Matteo and University of Pavia, Pavia, Italy.

Eupa Open Proteomics
|June 15, 2018
PubMed

Keywords:
Amyloidogenic proteinsAmyloidosisClinical proteomicsProteotoxicityTissue biomarkers

More Related Videos

Skeletal Muscle Gender Dimorphism from Proteomics09:29

Skeletal Muscle Gender Dimorphism from Proteomics

Published on: December 14, 2011

13.0K
Bottom-up and Shotgun Proteomics to Identify a Comprehensive Cochlear Proteome14:23

Bottom-up and Shotgun Proteomics to Identify a Comprehensive Cochlear Proteome

Published on: March 7, 2014

19.1K

Related Concept Videos

Proteomics01:33

Proteomics

A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term...
9.8K
Second Order systems II01:18

Second Order systems II

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.
412
First Order Systems01:21

First Order Systems

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...
433
Second Order systems I01:20

Second Order systems I

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...
603
Thermodynamic Systems01:06

Thermodynamic Systems

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...
8.2K
Classification of Systems-I01:26

Classification of Systems-I

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:
596