Biology subjects

Langseth, C. M.

Publications and source records attributed to Langseth, C. M..

4 recordsLinked to original sources

bioRxiv2026

KaroSpace: a rapid-access framework for interactive exploration of multi-sample spatial omics data

Spatial omics technologies enable high-resolution mapping of molecular and cellular organization within tissues, yet interactive exploration of these data remains challenging due to computational bottlenecks, and reliance on proprietary software infrastructures. We present KaroSpace, a framework for cell-centric exploration of multi-sample and multi-modality spatial omics data, agnostic to upstream analysis pipelines and operating on preprocessed spatial features. By combining a lightweight design with flexible deployment options, KaroSpace allows immediate interactive spatial data exploration, straightforward implementation to the broader scientific community, supports transparent data sharing, and complements existing computational workflows for hypothesis generation and collaborative analysis.

neuroscience↗

bioRxiv2023

Single cell-resolution in situ sequencing elucidates spatial dynamics of multiple sclerosis lesion and disease evolution

Multiple sclerosis (MS) is a neurological disease characterised by multifocal lesions and smouldering pathology. While single-cell analyses have provided insights into neuropathology, cellular processes underlying MS remain poorly understood. We modelled the cellular dynamics of MS by examining temporal and regional rates of disease progression in the experimental autoimmune encephalomyelitis (EAE) mouse model. By performing single-cell spatial expression profiling using In situ sequencing, we annotated disease neighbourhoods during lesion evolution and found centrifugal propagation of active lesions. We demonstrated that disease-associated (DA) glia are dynamic and induced independently of lesions, preceding their formation. Single-cell spatial analysis of human archival MS spinal cord confirmed differential distribution of DA-glia, enabled deconvolution of active and inactive lesions into sub-compartments, and identification of new lesion areas. By establishing a spatial resource of mouse and human MS neuropathology at a single-cell resolution, our study unveils the intricate cellular dynamics underlying MS disease evolution.

cell biology↗

bioRxiv2022

Decoding spatiotemporal gene expression of the developing human spinal cord and implications for ependymoma origin

The human spinal cord contains diverse cell types, governed by a series of spatiotemporal events for tissue assembly and functions. However, the spatiotemporal regulation of cell fate specification in the human developing spinal cord remains largely unknown. Single-cell RNA sequencing and spatial transcriptomics techniques have advanced the understanding of human organ development considerably. By performing integrated analysis of single-cell and spatial multi-omics methods, we created a comprehensive developmental cell atlas of the first trimester human spinal cord. Our data revealed that the cell fate commitment of neural progenitor cells and their spatial positioning are spatiotemporally regulated by specific gene sets. Beyond this resource, we unexpectedly discovered unique events in human spinal cord development compared to rodents, including earlier quiescence of active neural stem cells, different regulation of stem cell differentiation, and distinct spatiotemporal genetic regulations of cell fate choices. In addition, using our atlas we identified specific gene expression in cancer stem cells in ependymomas. Thus, we demonstrate spatiotemporal genetic regulation of human spinal cord development as well as its potential to understand novel disease mechanisms and to inspire new therapies.

developmental biology↗

bioRxiv2021

Spatial cell type mapping of the oligodendrocyte lineage in the mouse juvenile and adult CNS with in situ sequencing

Oligodendrocytes show transcriptional heterogeneity but the regional and functional implications of this heterogeneity are less clear. Here, we apply in situ sequencing (ISS) to simultaneously probe the expression of 124 marker genes of distinct oligodendrocyte populations, providing comprehensive maps of corpus callosum, cingulate, motor and somatosensory cortex in the brain, as well as gray (GM) and white matter (WM) regions in the spinal cord, at juvenile and adult stages. We systematically compare abundances of these populations and investigate the neighboring preference of distinct oligodendrocyte populations. As previously described, we observed that oligodendrocyte lineage progression is more advanced in the juvenile spinal cord compared to the brain. Additionally, myelination is ongoing in the adult corpus callosum while it is mostly completed in the cortex. Interestingly, we found a medial-to-lateral gradient of oligodendrocyte lineage progression in the juvenile cortex, which could be linked to arealization, as well as a deep-to-superficial gradient with mature oligodendrocytes preferentially accumulating in the deeper layers of the cortex. We observed differences in abundances and population dynamics over time between GM and WM regions in the brain and spinal cord, indicating regional differences within GM and WM. We also found that oligodendroglia populations neighboring preferences are altered from the juvenile to the adult CNS. Thus, our ISS dataset reveals spatial heterogeneity of the oligodendrocyte lineage progression in the brain and spinal cord, which could be relevant to further investigate functional heterogeneity of oligodendroglia.

neuroscience↗