# Signals Article: Putative Target P13688 for Neisseria gonorrhoeae Resistance
Background
Neisseria gonorrhoeae is the causative agent of gonorrhea, a sexually transmitted infection that has increasingly developed resistance to multiple antibiotics. The emergence of multidrug-resistant strains poses a significant public health challenge, necessitating the identification of novel therapeutic targets. The putative target candidate P13688, identified through expression profiling studies, may offer a promising avenue for addressing resistance mechanisms in N. gonorrhoeae. Despite its presence in relevant datasets, there are currently no registered Phase 1 or higher clinical programs targeting this candidate, indicating a gap in the translation of this target into clinical applications.Data-mining rationale
The identification of P13688 as a putative target was achieved by cross-referencing UniProt's reviewed human entries for "Neisseria gonorrhoeae resistance" against four microarray datasets available in the NCBI GEO database, including GDS:200048526, GDS:200032717, GDS:200028055, and GDS:200012686. The candidate was found to be expressed in these studies, yet it lacks a corresponding clinical development program, highlighting the need for further investigation into its therapeutic potential.Why prior analyses may have missed this
Prior analyses may have overlooked the significance of P13688 due to several factors. Many of the GEO datasets utilized in the initial examination predate the adoption of modern empirical-Bayes statistical methods, such as limma, which are essential for accurately assessing differential gene expression while controlling for multiple testing. The absence of rigorous statistical validation may have led to the underappreciation of the candidate's relevance in the context of N. gonorrhoeae resistance. A re-analysis of these datasets using contemporary statistical approaches could yield new insights into the expression patterns and potential roles of P13688.Reasoning for further validation
To further explore the therapeutic potential of the putative target P13688, the following experimental approaches are recommended: 1. **Re-analyze GEO Datasets**: Conduct a re-analysis of the matched GEO datasets using the limma package, applying the Benjamini-Hochberg method for false discovery rate (FDR) correction with a threshold of < 0.05 to accurately identify differentially expressed genes. 2. **Validate Differentially Expressed Genes**: Perform quantitative PCR (qPCR) on the top differentially expressed genes in an independent cohort to validate the findings from the re-analysis and confirm the expression levels of P13688. 3. **Check Tissue Specificity**: Investigate the tissue specificity of P13688 using resources such as GTEx (Genotype-Tissue Expression) and the Human Protein Atlas to understand its expression patterns across various human tissues. 4. **Pathway Context Analysis**: Utilize STRING and OmniPath databases to assess the biological pathways in which P13688 is involved, providing context for its potential role in N. gonorrhoeae resistance mechanisms. 5. **Assess Druggability**: If validated, evaluate the druggability of P13688 through databases such as DGIdb and ChEMBL to explore potential small molecule inhibitors or therapeutic agents targeting this candidate.References
- [UniProt: P13688](https://www.uniprot.org/uniprot/P13688) - Entry for the putative target candidate.
- [GDS:200048526](https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GDS200048526) - Microarray dataset related to Neisseria gonorrhoeae resistance.
- [GDS:200032717](https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GDS200032717) - Another relevant microarray dataset for analysis.
- [GDS:200028055](https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GDS200028055) - Additional dataset for Neisseria gonorrhoeae research.
- [GDS:200012686](https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GDS200012686) - Further dataset contributing to the analysis.