Spatial Transcriptomics

This spatially resolved view of the transcriptome empowers researchers to uncover cellular subpopulations, investigate cell–cell interactions, and pinpoint how diseases progress in distinct microenvironments. As a result, spatial transcriptomics serves as a game-changing tool in areas like developmental biology, oncology, neuroscience, and immunology, among others.

Our team specializes in designing and implementing robust pipelines for spatial transcriptomics data analysis. From tissue section imaging and pre-processing to gene expression quantification and integration with single-cell data, we streamline every step to maximize discovery potential.

Spatial transcriptomics provides unparalleled insights into how diseases manifest at the cellular and tissue levels. By exploring gene expression in situ, our experts can help you identify biomarkers for early detection, stratify patient subgroups, and uncover novel therapeutic targets. This is especially critical in fields like oncology, where tumor heterogeneity profoundly affects treatment outcomes.

Our tailored approaches integrate spatial transcriptomics data with clinical parameters, patient outcomes, and other omics data to build a holistic understanding of disease. Using AI and machine learning, we can predict functional consequences of altered gene expression in specific tissue compartments and guide the development of precision treatments.

Our spatial transcriptomics experts provide end-to-end support: from experimental design and sample preparation to in-depth computational analysis and interpretation. We’re adept at handling large, complex datasets across multiple platforms and can work seamlessly with your team to design custom workflows that suit your specific research questions.

Whether you’re new to spatial transcriptomics or aiming to refine your existing protocols, we are committed to fostering innovation, ensuring rigorous data quality, and empowering you to publish high-impact results. Tap into our expertise to unlock the full potential of spatial transcriptomics in your research and development pipelines.