Integrative Bibliometric and Transcriptomic Analyses of Selenium and Brain Aging

A research document containing integrative analyses linking selenium biology to brain aging. The study includes a bibliometric analysis of 1,826 publications, identification of differentially expressed genes from public datasets, and validation in an independent cohort and mouse brain tissue. The document was authored by Shan Liu, uploaded to figshare, and last updated in May 2026.

Use Cases

• Prioritizing candidate genes for brain aging based on bibliometric and transcriptomic intersection analysis.
• Validating molecular signatures of aging using independent cohort data mentioned in the description.
• Exploring gene-drug interactions for potential therapeutic targets based on enrichment analysis.
• Investigating immune cell infiltration patterns in the aging brain context described in the study.

Strengths

• Includes a bibliometric analysis of 1,826 publications, providing a literature foundation.
• Identifies and validates three core genes (SP1, SEPHS2, MSRB1) using machine learning and animal experiments.
• Released under a permissive CC-BY-4.0 license, allowing for reuse and redistribution.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The primary file format is DOC, which may require conversion for computational analysis.

Provenance

Source

figshare

Collection Method

Integrative analysis combining bibliometric review of published literature with transcriptomic data from public datasets.

Time Range

Bibliometric analysis covers publications from the past two decades.

Freshness

Last updated 2026-05-04 05:31:58; freshness should be verified.

Geography

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