Ankylosing Spondylitis Gene Expression and Mendelian Randomization Results

Shuai Wang's 2026 figshare study provides transcriptomic and Mendelian randomization data identifying integrated stress response genes as biomarkers for ankylosing spondylitis. The dataset includes results from differential expression analysis, causal inference, functional enrichment, immune infiltration, and drug prediction. Data is provided in a 37.6 KB XLSX file.

Use Cases

• Analyze differential gene expression results for candidate biomarkers like RORA, FBXO31, and MSRB3 in ankylosing spondylitis.
• Validate Mendelian randomization (MR) analysis outputs inferring causal associations between ISR-related genes and AS susceptibility.
• Examine functional enrichment data for involvement in specific pathways such as olfactory transduction.
• Investigate immune infiltration correlation results, particularly with cell types like Th1 cells and keratinocytes.
• Review drug prediction outputs suggesting potential therapeutic agents such as indirubin and pentoxifylline.

Strengths

• Data is derived from a multi-method study combining transcriptomic profiling, Mendelian randomization, and clinical RT–qPCR validation.
• Results are validated across database analyses and clinically collected blood samples.
• Dataset is openly shared under a CC BY 4.0 license.

Limitations

• The dataset is very small at 37.6 KB, indicating limited scope, likely containing summary results rather than raw data.
• Specific sample sizes, row counts, and column structures for the underlying analyses are not provided.
• Data is static, representing the results of a specific study published in 2026, with no scheduled updates.

Provenance

Source

Shuai Wang via figshare.

Collection Method

Transcriptomic profiling of peripheral blood from AS patients, Mendelian randomization analysis, functional enrichment, immune infiltration analysis, drug prediction, and RT–qPCR validation.

Time Range

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Freshness

Last updated March 26, 2026.

Geography

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