Aim
The research team had a bold aspiration: to characterize astrocytes in the brain across multiple species — human, mouse, and cow — using cutting-edge spatial & nuclear transcriptomics. The research team sought not only to profile individual astrocytes but also to map them within their spatial context, compare the same brain layers across species, and uncover evolutionary insights. Achieving this required more than standard experimental work: the team lacked the infrastructure to perform large-scale sequencing and complex bioinformatics in-house, making Sequentia’s expertise essential for producing and translating raw data into meaningful conclusions about astrocyte diversity and function.
Challenge
Astrocytes, long thought to play only supporting roles in the brain, are notoriously difficult to study. They are delicate, context-dependent across brain layers, and challenging to isolate intact for single-cell analysis. Traditional single-cell methods are often insufficient for complex tissues like the brain, and interpreting their behavior across species and regions requires sophisticated analytical approaches. The project generated massive, high-dimensional datasets that required not only robust processing and normalization but also accurate cell-type identification, spatial mapping, and integration across multiple omics layers. Beyond the technical hurdles, the research team faced a critical need to consolidate results, provide biological context, and translate complex bioinformatics outputs into actionable insights — all without the infrastructure to perform these analyses independently.
Solution
Sequentia Biotech delivered end-to-end scientific consulting and bioinformatics expertise, supporting the project from experimental design through biological interpretation. First, the team advised on the most appropriate sequencing strategies to address the study objectives, carefully evaluated available technologies, and identified the sequencing provider best suited to the experiment’s technical and logistical requirements.
In parallel, Sequentia provided full project management, coordinating sequencing, data delivery, and analysis workflows to ensure consistency, traceability, and timely execution. Once the data were generated, Sequentia implemented a robust analytical pipeline that encompassed preprocessing, quality control, normalization, dimensionality reduction, cell-type identification, and spatial mapping.
Single-nuclei sequencing data were deconvoluted and mapped back onto tissue sections, revealing the spatial organization of astrocytes across cortical layers. By integrating datasets from humans, mice, and cows, the platform enabled cross-species comparisons that uncovered evolutionary patterns and layer-specific functional roles.
Throughout the project, Sequentia worked closely with the research team, providing continuous scientific consulting to guide analytical decisions, interpret results within the context of brain biology, and consolidate complex findings into clear, actionable insights.
Impact
The project delivered groundbreaking insights into astrocyte biology, challenging the long-held view that neurons alone drive brain information processing. Mapping astrocyte diversity across layers and species revealed previously unrecognized functional roles and established a foundation for evolutionary comparisons. The integration of single-nucleus and spatial transcriptomics enabled precise, less labor-intensive analyses, while Sequentia’s consulting translated complex bioinformatics into actionable biological insights.
Beyond advancing fundamental neuroscience, the work demonstrated the power of combining sequencing capabilities, innovative bioinformatics, and expert consulting to tackle technically challenging research questions. Although unpublished, the findings are poised to reshape understanding of astrocytes and their role in brain function, highlighting the value of Sequentia’s integrated, multi-species, spatial transcriptomics approach.
