# Signals Article: Putative Target Q13114 for Mycobacterium abscessus
Background
Mycobacterium abscessus is an emerging pathogen known for its resistance to multiple antibiotics, posing significant challenges in clinical management, particularly in patients with cystic fibrosis and other underlying conditions. The putative target candidate Q13114, identified through expression profiling studies, may represent a novel avenue for therapeutic intervention. Despite its presence in relevant datasets, there are currently no registered Phase 1 or higher clinical programs targeting this candidate, highlighting the need for further investigation into its potential.Data-mining rationale
The rationale for identifying Q13114 as a putative target stems from a comprehensive cross-referencing of UniProt's reviewed human entries for "Mycobacterium abscessus" against two microarray datasets available in the NCBI GEO database (GDS:200037984 and GDS:200039889). The candidate Q13114 was found to be expressed in these studies, yet it lacks a corresponding clinical development program, indicating a potential gap in the translation of this candidate into therapeutic applications.Why prior analyses may have missed this
Prior analyses may have overlooked the significance of Q13114 due to several factors. Many of the GEO datasets utilized in the initial examination predate modern empirical-Bayes statistical methods, such as limma, which are crucial 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 M. abscessus infections. Re-analysis of these datasets using contemporary statistical approaches could yield new insights into the expression patterns and potential roles of Q13114.Reasoning for further validation
To further explore the therapeutic potential of the putative target Q13114, 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 identify differentially expressed genes accurately. 2. **Validate Differentially Expressed Genes**: Perform quantitative PCR (qPCR) on top differentially expressed genes in an independent cohort to validate the findings from the re-analysis and confirm the expression levels of Q13114. 3. **Check Tissue Specificity**: Investigate the tissue specificity of Q13114 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 Q13114 is involved, providing context for its potential role in M. abscessus pathogenesis. 5. **Assess Druggability**: If validated, evaluate the druggability of Q13114 through databases such as DGIdb and ChEMBL to explore potential small molecule inhibitors or therapeutic agents targeting this candidate.References
- [UniProt: Q13114](https://www.uniprot.org/uniprot/Q13114) - Entry for the putative target candidate.
- [GDS:200037984](https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GDS200037984) - Microarray dataset related to Mycobacterium abscessus.
- [GDS:200039889](https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GDS200039889) - Another relevant microarray dataset for analysis.