bioRxiv Science⌕ Search

Biology subjects

Gantar, I.

Publications and source records attributed to Gantar, I..

3 recordsLinked to original sources

CleLight: A scalable 3D histology pipeline for mappingneurodegenerative and psychiatric pathology in archivalhuman brains

Mesoscopic brain imaging, enabled by advances in tissue clearing, light-sheet microscopy, and large-scale image processing, allows detailed analysis of cellular and molecular architecture across whole neural circuits. However, applying these methods to postmortem human brain tissue is hindered by strong autofluorescence, high tissue density, and fixation-induced damage. We introduce CleLight, a light-enhanced clearing method that increases tissue transparency while quenching autofluorescence. Combined with complementary chemical treatments, CleLight supports multiplexed immunolabeling and high-resolution imaging of centimeter-thick, formalin-fixed, paraffin-embedded human brain sections. It is compatible with a wide range of antibodies and fluorescent dyes, enabling the visualization of physiological and pathological features across diverse CNS regions in healthy and diseased samples. CleLight offers a simple, robust, and scalable workflow for clearing, deep labeling, and volumetric imaging of human brain tissue. Its compatibility with conventional histology and archival material makes it well suited for organ-wide pathological studies in large patient cohorts and historical brain collections.

neuroscience↗

Efficient image analysis for large-scale next generation histopathology using pAPRica

The large size of imaging datasets generated by next-generation histology methods limits the adoption of those approaches in research and the clinic. We propose pAPRica (pipelines for Adaptive Particle Representation image compositing and analysis), a framework based on the Adaptive Particle Representation (APR) to enable efficient analysis of large microscopy datasets, scalable up to petascale on a regular workstation. pAPRica includes stitching, merging, segmentation, registration, and mapping to an atlas as well as visualization of the large 3D image data, achieving 100+ fold speedup in computation and commensurate data-size reduction.

bioinformatics↗

Origin, specification and differentiation of a rare supporting-like lineage in the developing mouse gonad

Gonadal sex determination represents a unique model for studying cell fate decisions. However, a complete understanding of the different cell lineages forming the developing testis and ovary remains elusive. Here, we investigated the origin, specification and subsequent sex-specific differentiation of a previously uncharacterized population of supporting-like cells (SLC) in the developing mouse gonads. The SLC lineage is closely related to the coelomic epithelium and specified as early as E10.5, making it the first somatic lineage to be specified in the bipotential gonad. SLC progenitors are localized within the genital ridge at the interface with the mesonephros and initially co-express Wnt4 and Sox9. SLCs become sexually dimorphic around E12.5, progressively acquire a Sertoli- or granulosa-like identity and contribute to the formation of the rete testis and rete ovarii. Finally, we found that WNT4 is a crucial regulator of the SLC lineage and is required for the formation of the rete testis. TeaserDescription of an uncharacterized multipotent gonadal cell lineage involved in testis and ovary development

developmental biology↗