Traditionally, biologists have been constrained by analytical techniques that sacrifice spatial information, reducing tissues to a mixture of cells where location is lost. This limitation has hindered our comprehension of how cellular neighborhoods influence physiological and pathological states. The emergence of spatial transcriptomics and proteomics now permits high-resolution mapping of RNA and protein molecules inside intact tissues, lending an unprecedented spatial dimension to molecular profiling. Spatial transcriptomics reveals the location-specific gene expression patterns, whereas spatial proteomics identifies the distribution and interplay of functional proteins, thereby elucidating the molecular choreography underlying cellular behavior.

IRB Barcelona’s new platform uniquely integrates multiple core technologies encompassing spatial genomics, proteomics, histopathology, advanced microscopy, and bioinformatics into a seamless workflow designed to generate comprehensive spatially resolved molecular maps. This integrated approach not only enables rigorous sample processing and data acquisition but also incorporates sophisticated computational tools to interpret multilayered datasets. By combining these modalities, researchers can create detailed molecular atlases that reveal how distinct cell types and molecular states coalesce to maintain tissue homeostasis or drive disease progression.

The launch of this platform reflects IRB Barcelona’s longstanding commitment to pioneering technologies that push the boundaries of molecular biology. Over the last two decades, the institute has been a trailblazer in genomic microarrays and single-cell gene expression profiling from minimal samples, establishing itself as a reference center of excellence. Their prior innovations in proteomics, including advanced top-down analysis techniques, and the adoption of light-sheet microscopy for three-dimensional tissue imaging, have laid the foundation for this next leap forward into spatial biology.

This powerful platform facilitates detailed investigation of a wide array of diseases characterized by complex tissue architecture, including cancer, neurodegenerative disorders, cardiovascular ailments, and immune dysfunction. For instance, in oncology, spatial omics can elucidate the cellular heterogeneity within tumors, map the spatial distribution of resistant cell subpopulations, and unravel cellular interactions that influence tumor microenvironment and therapy response. Such spatially-informed molecular data are critical for understanding why certain therapies fail and for identifying novel, spatially targeted therapeutic interventions.

The uniqueness of IRB Barcelona’s initiative lies not only in its technological sophistication but also in its multidisciplinary and collaborative framework. By coordinating expertise from multiple core facilities, the platform delivers an end-to-end pipeline that spans from sample preparation to deep computational analysis. This holistic integration ensures scientific robustness, reproducibility, and the generation of high-resolution spatial datasets that can be cross-compared across studies and over time, accelerating discovery and translational applications.

Moreover, this platform serves as a national hub and a collaborative nexus, opening its infrastructure to the wider scientific community, including academic institutions, hospitals, and industry collaborators. Such open access fosters synergy, drives innovation, and broadens the impact of spatial omics technologies across Spain and internationally. It is envisaged that this initiative will significantly propel precision medicine, enabling patient-specific molecular diagnostics and the development of personalized therapeutic strategies grounded in spatial cellular biology.

A critical aspect of this platform is its integration of advanced computational methods. Spatial omics generates complex, multilayered data that requires novel bioinformatics algorithms to align and co-analyze transcriptomic, proteomic, and phenotypic information within spatial coordinates. IRB Barcelona’s bioinformatics teams are developing and implementing these sophisticated pipelines to construct multidimensional molecular landscapes of tissues. Such atlases not only enhance our understanding of tissue organization and function but also provide invaluable resources for hypothesis generation and mechanistic studies.

The platform is also a testament to successful collaborative funding efforts, having been supported by Spanish and Catalan governmental bodies, Next Generation funds, and prominent foundations such as the Spanish Association Against Cancer, La Caixa Foundation, and the BBVA Foundation. This financial backing underscores the importance and potential impact of spatial omics on public health and biomedical research.

Looking ahead, the integration of spatial omics with other emerging technologies such as single-cell multi-omics and advanced imaging modalities promises to unlock even deeper insights into cellular ecosystems. The ability to spatially resolve multiple biomolecular layers simultaneously will provide a holistic view of biological systems, bridging the gap between molecular detail and tissue physiology. This comprehensive understanding is essential to confront the complexities of human diseases and to develop innovative treatment paradigms.

By enabling researchers to ‘see biology in place’, IRB Barcelona’s Spatial Omics Platform is not merely an incremental technological upgrade but represents a paradigm shift in life sciences. It turns the metaphor of the body as a city into a tangible reality, where cells, genes, and proteins are mapped with neighborhood precision. This spatial perspective is critical for decoding cellular behavior within the rich tapestry of tissue architecture and microenvironmental influences, ultimately advancing both basic biology and precision medicine.

In sum, this pioneering facility positions IRB Barcelona at the forefront of spatial biology, empowering scientists to unlock the spatial dimension of molecular biology that has remained elusive until now. The resulting knowledge is expected to transform our approach to diagnosing, treating, and preventing diseases with unprecedented accuracy and specificity, heralding a new era in biomedical research.

Subject of Research: Spatial Omics, Spatial Transcriptomics, Spatial Proteomics, Integrated Molecular Profiling

Article Title: IRB Barcelona Launches Spain’s First Integrated Spatial Omics Platform Revolutionizing Molecular Mapping in Tissues

News Publication Date: 9 February 2026

Image Credits: IRB Barcelona

Keywords: Genomics, Proteomics, Microscopy, Cancer, Bioinformatics, Health and Medicine

Tissue samples are notoriously complex, comprised of varied populations of cells intricately interwoven with distinct molecular compositions. Traditional biochemical techniques often obscure this complexity by averaging molecular data across numerous cells, blurring essential details critical for understanding pathological mechanisms. The Osaka team’s approach circumvents these limitations by enabling analyses at the single-cell level, revealing the molecular heterogeneity that underpins cellular function and dysfunction.

At the heart of this breakthrough lies t-SPESI, a technique that couples a finely controlled scanning probe with electrospray ionization to enable spatially resolved sampling of molecular species. Unlike conventional mass spectrometry imaging methods that often lack the spatial resolution to isolate subcellular regions, t-SPESI works by delicately tapping the probe onto targeted regions of a cell’s surface. This process extracts minute molecular samples with high spatial precision, which are then subjected to mass spectrometric analysis to identify and quantify the chemical constituents with accuracy.

A key innovation presented by the researchers is the development of a novel t-SPESI apparatus that integrates seamlessly with an inverted fluorescence microscope. This design advancement allows real-time visualization of the sampling process, providing unprecedented insight into how and where molecular data are collected. By observing the microscopic sample simultaneously in multiple imaging modes, researchers can correlate fluorescence-tagged molecular distributions with mass spectrometry data, creating a comprehensive multimodal portrait of cellular architecture and chemistry.

The multimodal nature of this system is particularly transformative. It can detect fluorescently labeled biomolecules, discern the topography of the cell surface, and map the molecular species inside the cell through mass spectrometric imaging. This rich dataset provides a three-dimensional window into cellular heterogeneity, revealing how chemical gradients, membrane structures, and metabolic activities vary within and between individual cells.

One of the initial demonstrations of this approach involved the visualization of lipid distributions within HeLa cells, a widely used human cell line in biomedical research. Lipids, crucial components of cellular membranes and signaling pathways, are known to exhibit diverse behaviors linked to metabolic health and disease processes. By mapping the intracellular localization of lipids, the researchers could directly observe variations in membrane composition and lipid metabolism at the single-cell level — insights that are often lost in bulk analyses.

The precision of this technology enabled distinctions between different cell types based on their unique lipid profiles and surface morphology. These findings herald a future where detailed molecular fingerprints of diseased versus healthy cells can be discerned within complex tissues, an advancement that bears significant implications for diagnostics and therapeutics. The ability to visualize such multidimensional molecular information offers a powerful tool for unraveling the molecular underpinnings of diseases such as cancer, neurodegeneration, and metabolic disorders.

The integration of mass spectrometry with fluorescence microscopy in the t-SPESI system also provides a pathway to link molecular distributions with cellular phenotypes, a vital step towards understanding the heterogeneity in cell populations. As diseases often arise from subtle changes in cellular composition and function, this technology could enable researchers to detect early molecular signs of pathology before morphological symptoms become apparent.

Beyond basic research, the implications for precision medicine are considerable. By enabling single-cell analysis in complex tissue samples, the technology may facilitate the identification of subpopulations of cells that respond differently to treatments, enabling more targeted and effective therapeutic interventions. Moreover, the detailed mapping of metabolic and signaling molecules within single cells could lead to the discovery of new biomarkers for disease progression and treatment response.

The method’s adaptability to various sample types and fluorescent labeling strategies also renders it a versatile platform for studying diverse biological questions. From tracking lipid metabolism in cancer cells to exploring neuronal signaling pathways, t-SPESI’s capacity to generate multidimensional molecular data sets a new standard for cellular imaging technologies.

Lead author Yoichi Otsuka emphasized the unit’s capability to observe the micro-sampling simultaneously, providing a unique window into the interactive molecular environment of cells. Equally, senior author Michisato Toyoda highlighted the system’s capacity to simultaneously visualize lipids, fluorescence signals, and topographic features, underlining its multifaceted analytical power.

In sum, this innovative merging of microscopy and mass spectrometry embodies a significant stride toward unraveling the complex molecular tapestry of cellular life. The resultant granular understanding of single-cell molecular landscapes promises to illuminate the mechanisms of disease with unprecedented clarity, fostering future breakthroughs in diagnostics, drug development, and therapeutic strategies. As the technology matures and becomes more widely adopted, its impact on precision medicine and biomedicine at large is poised to be profound.

Subject of Research: Cells
Article Title: Single-Cell Mass Spectrometry Imaging of Lipids in HeLa Cells via Tapping-Mode Scanning Probe Electrospray Ionization
News Publication Date: 14-May-2025
Web References: http://dx.doi.org/10.1038/s42004-025-01521-2
References: “Single-Cell Mass Spectrometry Imaging of Lipids in HeLa Cells via Tapping-Mode Scanning Probe Electrospray Ionization,” Communications Chemistry, DOI: 10.1038/s42004-025-01521-2
Image Credits: Yoichi Otsuka
Keywords: Electrospray ionization, Lipid metabolism, Lipids, Membrane lipids, Metabolic health, Single cell profiling, Single cells, Spectroscopy, Imaging analysis