Biology subjects

Bujko, A.

Publications and source records attributed to Bujko, A..

3 recordsLinked to original sources

bioRxiv2024

SPArrOW: a flexible, interactive and scalable pipeline for spatial transcriptomics analysis

Current spatial transcriptomics technologies are increasingly able to measure large gene panels at subcellular resolution, but a major bottleneck in this rapidly advancing field is the computational analysis and interpretation of the data. To bridge this gap, here we present SPArrOW, a flexible, modular and scalable pipeline for processing spatial transcriptomics data. SPArrOW improves cell segmentation and leads to better overall data quality, resulting in more accurate cell annotations at the single-cell level. Furthermore, it provides the users with numerous visual quality checks that are crucial for the correct interpretation of the data, offering users more control in processing their data. Our workflow is designed to accommodate the various available spatial transcriptomics platforms. Finally, SPArrOW offers interactive visualization and data exploration, enabling sample-specific pipeline optimization by various tuneable parameters and an efficient comparison of different staining and gene allocation strategies.

bioinformatics↗

bioRxiv2021

Spatial proteogenomics reveals distinct and evolutionarily-conserved hepatic macrophage niches

The liver is the largest solid organ in the body, yet it remains incompletely characterized. Here, we present a spatial proteogenomic atlas of the healthy human and murine liver combining single-cell CITE-seq, single-nuclei sequencing, spatial transcriptomics and spatial proteomics. By integrating these multi-omic datasets, we provide validated strategies to reliably discriminate and localize all hepatic cells. We then align this atlas across seven species, revealing the conserved program of bona fide Kupffer cells and bile-duct macrophages. We also uncover the respective spatially-resolved cellular niches of these macrophages and the microenvironmental circuits driving their unique transcriptomic identities. We demonstrate that bile-duct macrophages are induced by local lipid exposure, while Kupffer cells crucially depend on their crosstalk with hepatic stellate cells via the evolutionarily-conserved ALK1-BMP9/10 axis.

immunology↗

bioRxiv2019

Single cell transcriptome atlas of immune cells in human small intestine and in celiac disease

Celiac disease (CeD) is an autoimmune disorder in which ingestion of dietary gluten triggers an immune reaction in the small intestine1,2. The CeD lesion is characterized by crypt hyperplasia, villous atrophy and chronic inflammation with accumulation of leukocytes both in the lamina propria (LP) and in the epithelium3, which eventually leads to destruction of the intestinal epithelium1 and subsequent digestive complications and higher risk of non-hodgkin lymphoma4. A lifetime gluten-free diet is currently the only available treatment5. Gluten-specific LP CD4 T cells and cytotoxic intraepithelial CD8+ T cells are thought to be central in disease pathology1,6-8, however, CeD is a complex immune-mediated disorder and to date the findings are mostly based on analysis of heterogeneous cell populations and on animal models. Here, we comprehensively explore the cellular heterogeneity of CD45+ immune cells in human small intestine using index-sorting single-cell RNA-sequencing9,10. We find that myeloid and mast cell transcriptomes are reshaped in CeD. We observe extensive changes in the proportion and transcriptomes of CD4+ and CD8+ T cells and define a CD3zeta expressing NK-T-like cell population present in the control LP and epithelial layers that is absent and replaced in CeD. Our findings show that the immune landscape is dramatically changed in active CeD which provide new insights and considerably extend the current knowledge of CeD immunopathology.

immunology↗