lnc-CidecAS RNA Expression and Lipid Metabolism Data from Mouse Studies

A study by Lin Yu, last updated in May 2026, investigates the role of a long non-coding RNA in liver fat metabolism. The dataset likely contains experimental results from in vitro and in vivo models, including AML12 hepatocytes and high-fat diet-induced obese mice. It includes measurements of physiological parameters from blood, liver, and muscle tissues, as well as gene expression and enzymatic activity data.

Use Cases

• Analyze the correlation between lnc-CidecAS expression and serum lipid levels based on in vivo mouse data.
• Model the regulatory impact of lnc-CidecAS on lipid metabolism genes like AMPK and CPT1 based on overexpression experiments.
• Investigate protein-RNA interactions in metabolic pathways based on the described ChIRP-MS results identifying ATP1a1 binding.

Strengths

• Data is derived from both in vitro (AML12 cell line) and in vivo (aged and high-fat diet mouse) models, providing multi-context validation.
• The dataset includes specific physiological measurements such as extracellular triglyceride levels, body fat, and serum cholesterol concentrations.
• Mechanistic insights are supported by protein interaction data from ChIRP-MS and enzymatic activity assays.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is small at 357.2 KB, indicating limited scope.

Provenance

Source

Lin Yu via figshare

Collection Method

Experimental data from molecular biology techniques including RACE, overexpression, siRNA knockdown, and ChIRP-MS.

Freshness

Last updated 2026-05-12 05:43:23; freshness should be verified.