Case study

Gene expression biomarkers in osteoarthritis

The Challenge

The client developed a cartilage‑on‑a‑chip technology and a gene panel to monitor treatment effects. They needed additional in vivo human evidence and comprehensive literature review to refine the panel and convince investors.

Our Approach

We reviewed evidence, collected datasets and synthesised insights to refine an osteoarthritis gene panel.

  • Evidence review & gap analysis: Worked with the client to assess existing evidence, summarise pathways and identify conflicts, creating structured overviews and compiling gene‑expression data.
  • Data collection & hypothesis generation: Conducted exhaustive literature reviews and gathered relevant gene‑expression datasets to support future analyses.
  • Insight synthesis: Analysed complexities across models, disease stages and anatomical regions to produce a list of differentially regulated genes.

The Outcome

  • Provided structured summaries with annotated extracts and a table of evidence.
  • Delivered detailed context for selected markers and a curated data set for future analyses.
  • Identified knowledge gaps and highlighted important differences across models and disease stages.

Why It Matters

Thorough literature synthesis and data curation refine biomarker panels and reveal missing knowledge. This work equips researchers and investors with a clear roadmap for future experiments.

Let’s discuss how we can turn your data into real scientific impact.

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