MiR-34a Knockout Mouse Model Data for Alzheimer's Disease Research

Experimental data from a study investigating the role of microRNA miR-34a in Alzheimer's disease pathogenesis using a transgenic mouse model. The dataset includes results from cognitive testing, neuropathological evaluation, and bulk RNA-sequencing of hippocampal tissue. It was authored by Junling Yang and last updated on March 17, 2026.

Use Cases

• Analyze gene expression changes related to type I interferon signaling based on bulk RNA-seq results
• Investigate correlations between amyloid-beta peptide levels and cognitive function based on Morris water maze and biochemical data
• Study the activation state of microglia based on immunofluorescence and interferon-stimulated gene expression data
• Model the regulatory role of miR-34a in neuroinflammatory pathways based on knockout versus wild-type comparisons

Strengths

• Data is associated with a peer-reviewed research methodology including RNA-seq and behavioral testing.
• Dataset is openly available under a CC-BY-4.0 license.
• File size is 15.8 KB, indicating a focused and manageable dataset.

Limitations

• Row count and column-level documentation are unknown, limiting suitability assessment.
• The dataset's 15.8 KB size suggests a very limited scope, likely containing summary or key result data rather than raw sequencing files.

Provenance

Source

figshare, authored by Junling Yang.

Collection Method

Data generated from laboratory experiments on a transgenic Alzheimer's disease mouse model (Tg-SwDI) with miR-34a knockout.

Time Range

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Freshness

Last updated 2026-03-17 13:08:25

Geography

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