Hierarchical Antibody Recognition of 68 E. coli Outer Membrane Proteins

68 Escherichia coli recombinant outer membrane proteins were pooled to immunize mice, and the resulting antisera were analyzed using a protein microarray. The dataset describes the hierarchical recognition of these proteins, identifying 18, 15, 16, 8, and 11 proteins across five successive immunization cycles. The research was authored by Xiang Liu and last updated on 2026-04-17.

Use Cases

• Modeling hierarchical antigen recognition based on B cell epitope scores mentioned in the results.
• Analyzing functional category distribution (e.g., transport vs. metabolic process) across identified immunogen hierarchies.
• Training classifiers to predict immunogen hierarchy based on protein features inferred from the experimental setup.

Strengths

• Experimental results are derived from a defined set of 68 Escherichia coli outer membrane proteins.
• Hierarchical recognition is quantified across five cycles, identifying 18, 15, 16, 8, and 11 proteins per group.
• Includes bioinformatics analysis of B cell epitope scores and GO functional categories.

Limitations

• Row count and column-level documentation are absent; field semantics must be inferred after download.
• The dataset is small (45.1 KB), indicating limited scope, likely containing summary results rather than raw experimental data.

Provenance

Source

figshare, author Xiang Liu.

Collection Method

Data generated from a mouse immunization experiment using pooled E. coli proteins, followed by protein microarray analysis and bioinformatics.

Freshness

Last updated 2026-04-17 04:11:45; freshness should be verified.