Related Experiment Video
Updated: Feb 13, 2026

08:43
Calibration Procedures for Orthogonal Superposition Rheology
Published on: November 18, 2020
2.4K
High-Confidence Interactome for RNF41 Built on Multiple Orthogonal Assays.
Delphine Masschaele1,2, Joris Wauman1,2, Giel Vandemoortele1,2
1Department of Biochemistry, Faculty of Medicine and Health Sciences , Ghent University , Albert Baertsoenkaai 3 , B-9000 Ghent , Belgium.
Journal of Proteome Research
|March 22, 2018
Summary
Ring finger protein 41 (RNF41) is an E3 ubiquitin ligase. This study identifies AP2S1 as a novel RNF41 partner, revealing RNF41
Area of Science:
- Molecular Biology
- Cell Biology
- Biochemistry
Background:
- Ring finger protein 41 (RNF41) functions as an E3 ubiquitin ligase, mediating the ubiquitination and degradation of key proteins such as ErbB3 receptors, BIRC6, and parkin.
- RNF41 influences intracellular trafficking of JAK2-associated cytokine receptors by ubiquitinating and inhibiting USP8, consequently destabilizing the ESCRT-0 complex.
Purpose of the Study:
- To comprehensively identify the protein partners of RNF41 using orthogonal proteomic approaches.
- To establish a high-confidence RNF41 interactome network and functionally validate novel interaction partners.
Main Methods:
- Employed affinity purification-mass spectrometry, BioID, and Virotrap to map the RNF41 protein complex.
- Integrated data with existing microarray MAPPIT and yeast two-hybrid (Y2H) datasets.
- Filtered results to generate a high-confidence interactome by selecting proteins identified through multiple methods.
Main Results:
- Established a comprehensive RNF41 interactome network with 175 candidate protein partners.
- Generated a high-confidence interactome map of 19 proteins identified by at least two orthogonal methods.
- Identified AP2S1 as a novel RNF41 interaction partner and validated its role in leptin and LIF receptor signaling.
- Demonstrated that RNF41 stabilizes and influences the cellular localization of AP2S1.
Conclusions:
- The study successfully elucidated the RNF41 interactome, revealing novel protein associations.
- AP2S1 is identified as a key RNF41-interacting protein involved in cytokine receptor signaling.
- RNF41 plays a critical role in regulating AP2S1 stability and subcellular localization, impacting cellular signaling pathways.
Related Concept Videos
Orthogonal Trajectories
72
Orthogonal trajectories describe the geometric relationship between two families of curves that intersect each other at right angles. One illustrative case involves a family of parabolas that open sideways along the x-axis. These curves share a common shape but differ by a scaling parameter, resulting in a set of curves that all pass through the origin and widen at different rates.Determining Orthogonal TrajectoriesTo identify the orthogonal trajectories for these parabolas, the first step...
72
Confidence Coefficient
10.7K
The confidence coefficient is also known as the confidence level or degree of confidence. It is the percent expression for the probability, 1-α, that the confidence interval contains the true population parameter assuming that the confidence interval is obtained after sufficient unbiased sampling; for example, if the CL = 90%, then in 90 out of 100 samples the interval estimate will enclose the true population parameter. Here α is the area under the curve, distributed equally under...
10.7K
Confidence Intervals
10.8K
An unbiased point estimate is often insufficient to predict a population estimate, such as population mean or population proportion. In this scenario, a confidence interval is used. A confidence interval is an estimate similar to a sample proportion. However, unlike the point estimate which is a single value, the confidence interval contains a range of values. These values have lower and upper limits, known as confidence limits, and can be designated as L1 and L2, respectively.
A...
A...
10.8K
Interpretation of Confidence Intervals
10.1K
A confidence interval is a better estimate of the population than a point estimate, as it uses a range of values from a sample instead of a single value.
Confidence intervals have confidence coefficients that are crucial for their interpretation. The most common confidence coefficients are 0.90, 0.95, and 0.99, which can be written as percentages–90%, 95%, and 99%, respectively.
Suppose a person calculates a confidence interval with a confidence coefficient of 0.95. In that case, they can...
Confidence intervals have confidence coefficients that are crucial for their interpretation. The most common confidence coefficients are 0.90, 0.95, and 0.99, which can be written as percentages–90%, 95%, and 99%, respectively.
Suppose a person calculates a confidence interval with a confidence coefficient of 0.95. In that case, they can...
10.1K
Uncertainty: Confidence Intervals
11.7K
The confidence interval is the range of values around the mean that contains the true mean. It is expressed as a probability percentage. The interpretation of a 95% confidence interval, for instance, is that the statistician is 95% confident that the true mean falls within the interval. The upper and lower limits of this range are known as confidence limits. The confidence limits for the true mean are estimated from the sample's mean, the standard deviation, and the statistical factor...
11.7K
Confidence Interval for Estimating Population Mean
9.0K
A point estimate of the population mean is obtained from a single sample. Such a point estimate does not represent a population well because it needs to account for variability in the population. Single point estimate can also be biased despite the sample being selected randomly. Thus, a point estimate is often unreliable. A confidence interval is needed to reduce this unreliability.
A confidence interval for the mean is a range of values that provides an estimate of the population mean. As the...
A confidence interval for the mean is a range of values that provides an estimate of the population mean. As the...
9.0K

