Single-Cell RNA-Seq for Neuroscience Drug Discovery
End-to-end scRNA-seq analysis + cross-species integration + co-author collaboration
The Challenge
<p>A neuroscience research group had generated a substantial scRNA-seq dataset but lacked internal bioinformatics capacity to analyse the data, integrate findings across multiple species, and develop a compelling drug-discovery narrative. These analyses needed to be completed ahead of an impending grant deadline.</p>
Our Approach
<p>We built a reproducible cloud-based analysis pipeline that handled QC, batch correction, and integration of samples. Clustering and cell-type annotation were performed using state-of-the-art methods. Cross-species comparison identified conserved cell populations and gene signatures. Candidate targets and cell populations for therapeutic intervention were prioritised based on the integrated analysis.</p>
The Solution
Complete bioinformatics pipeline and analysis delivered on timeline, enabling the grant submission and advancing the drug discovery programme.
The Result
<p>The reproducible pipeline was successfully handed over to the research group. The cross-species analysis report identified multiple actionable cell-state targets for therapeutic intervention. Publication-quality figures and methods sections were completed, providing a strong foundation for a follow-on grant application.</p>
Conclusion
Specialised bioinformatics expertise can accelerate neuroscience drug discovery by enabling analysis that would otherwise require months of internal capacity building.
Services Used
Quick Info
- Timeframe 8-10 weeks
- Team Size 2
- Engagement End-to-end scRNA-seq analysis + cross-species integration + co-author collaboration
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