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Biology subjects

Ferraz da Silva, L. F.

Publications and source records attributed to Ferraz da Silva, L. F..

2 recordsLinked to original sources

The Infant Brainstem - A Multimodal Multiscale Postmortem Imaging Pipeline

Brainstem disorders in human infants - including sudden infant death syndrome (SIDS), the leading cause of postnatal infant mortality in the United States - are characterized by cellular and molecular abnormalities that conventional neuroimaging cannot detect. A substantial challenge arises from the fact that the immature myelination of the infant brain severely degrades MRI contrast, leaving the discrete nuclei and white matter tracts of the brainstem poorly resolved at the scale where pathology occurs. We introduce a postmortem imaging pipeline that bridges this gap by integrating four spatially registered modalities: whole-brain magnetic resonance imaging (MRI) (550 m), brainstem-specific MRI (150 m), polarization-sensitive optical coherence tomography (PSOCT, 10 m), and histology with immunohistochemistry (1.88 m). Our central finding is that PSOCT provides excellent tissue contrast independent of myelination state - directly overcoming the principal limitation of MRI in the infant brain -while enabling three-dimensional visualization of nuclei and tracts at resolutions 15 to 55 times finer than MRI alone. Histology provides cellular-level ground truth and validates the optical contrasts. Applied here to a normative 34-day-old infant brainstem, this pipeline establishes a generalizable framework for studying infant brainstem neuroanatomy in three dimensions, with particular relevance to disorders such as SIDS where gross anatomy is intact but cellular abnormalities remain the target of investigation.

neuroscience↗

STARComm Scalably Detects Emergent Modules of Spatial Cell-Cell Communication in Inflammation and Cancer.

In humans, cell-cell communication orchestrates tissue organization, immune coordination, and repair, yet spatially mapping these interactions remains a challenge for biology. We introduce STARComm, a scalable-interpretable computational method that identifies Multicellular Communication Interaction Modules (MCIMs) by detecting spatially co-located receptor-ligand activity from high-plex spatial transcriptomics in 2D and 3D. Applied to an atlas of >14million cells across 8 cancers, STARComm revealed 24 conserved and tumor-specific MCIMs, including a fibro-immune module with targetable axes linked to immune exclusion and immunotherapy resistance. In chronic graft-versus-host disease, STARComm identified three salivary gland MCIMs predictive of patient death and two druggable axes (CXCL12-CXCR4, CCL5-SDC4), both with FDA-approved therapeutics. STARComm demonstrated that peripheral tissue profiling can forecast fatality nearly 3 years in advance using minor salivary glands. By enabling scalable biomarker discovery, drug targeting, and spatially resolved precision profiling, STARComm bridges the gap between spatial biology and clinical translation, advancing the field of spatial medicine. SUMMARYDespite major advances in spatial biology, no framework has yet linked spatially resolved intercellular communication networks, independent of cell types, to clinical outcomes in human disease. Here, we present STARComm, a scalable method that identifies Multicellular Interaction MCIMs (MCIMs). Applying STARComm to minor salivary gland biopsies from patients with chronic graft-versus-host disease (GVHD), we identify MCIMs that not only distinguish healthy from diseased tissue but also stratify patient survival. High-risk MCIMs are enriched for actionable immune and stromal pathways, including those targetable with existing therapies. These findings establish the first outcome-linked spatial communication framework in any human disease and highlight the translational potential of oral tissues as minimally invasive platforms for real-time immune diagnostics, prognostic modeling, and therapeutic screening.

bioinformatics↗