Biophysical Models of Neuronal Chloride Homeostasis and Driving Force

Biophysical models analyze the determinants of chloride ion driving force for synaptic inhibition. The dataset includes numerical and analytic solutions from pump-leak models. It was authored by Kira Michaela Düsterwald and published in 2020.

Use Cases

• Validate model predictions on the role of cation-chloride cotransporters (CCCs) in modulating chloride driving force.
• Analyze the relative impact of impermeant anions versus transporter proteins on intracellular chloride concentration.
• Compare the effects of Na+/K+-ATPase activity and ion conductances on chloride homeostasis across different model scenarios.

Strengths

• Models are based on established biophysical pump-leak theory.
• Findings are supported by experimental validation as described in the source publication.
• Dataset is openly available under a CC0 1.0 public domain license.

Limitations

• The dataset consists of model outputs; raw experimental data or underlying code may not be included.
• Specific file formats, data volume, and structural details (rows, columns) are not provided.
• The models are focused on neuronal chloride regulation, limiting generalizability to other cell types.

Provenance

Source

Dryad digital repository.

Collection Method

Derived from biophysical modeling and numerical solutions of pump-leak equations.

Freshness

Last updated in June 2020.