Human Duodenum Proteomics Data for Pre-Diabetes and Type 2 Diabetes Research

Supplementary Material 3 from a proteomics study investigating the human duodenum in pre-diabetes and type 2 diabetes. The 34.4 MB text file, published under CC-BY-4.0 by Beatriz D.G. Alves on figshare, likely contains protein expression data intended to identify novel therapeutic targets. Its specific row count and column structure are not detailed in the metadata.

Use Cases

• Identify differentially expressed proteins between pre-diabetic, diabetic, and control samples (inferred from domain, verify after download)
• Train models to predict disease progression based on proteomic profiles (inferred from domain, verify after download)
• Integrate proteomic findings with other omics data for multi-omics analysis (inferred from domain, verify after download)

Strengths

• Published under the permissive CC-BY-4.0 license, facilitating reuse and redistribution.
• File size of 34.4 MB suggests a substantive amount of data is contained within the text file.

Limitations

• Metadata is minimal; actual content requires verification after download.
• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.

Provenance

Source

figshare

Collection Method

Likely generated via mass spectrometry-based proteomic analysis of human duodenal tissue.

Time Range

null

Freshness

Last updated 2026-04 23 04:41:48; freshness should be verified.

Geography

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