Biology subjects

Lubatti, G.

Publications and source records attributed to Lubatti, G..

3 recordsLinked to original sources

bioRxiv2026

M-CSF drives alveolar macrophage plasticity during development and cytomegalovirus infection

Alveolar macrophages (AM), the most frequent resident immune cells of the lung, are at the first line of defence against respiratory pathogens and instruct structural lung cells, e.g. in tissue repair. They are long-lived and receive their terminal phenotypic imprint through signals originating from the unique location at the tissue-air interface, as well as through cytokines like granulocyte-macrophage colony-stimulating factor (GM-CSF) and transforming growth factor-{beta} (TGF-{beta}). However, the regulatory mechanisms governing their phenotypic plasticity, which is conceptually critical for their positioning and differentiation in early life and for their functional adaptation during infection, remain poorly defined. Here we explored respiratory tract infection with cytomegalovirus (CMV), which is closely linked to mammalian immune evolution. Complementary host-pathogen fate-mapping strategies revealed AM to constitute the bottleneck for efficient mouse (M)CMV infection. MCMV infection induced macrophage colony-stimulating factor (M-CSF) in the alveolar space, and culturing of AM in M-CSF led to a profound remodelling of morphology, immunophenotype, and transcriptional identity, e.g. it increased the expression of interferon-stimulated genes (ISG), which modulated susceptibility to infection. Notably, already at baseline recently differentiated neonatal AM across species retained an M-CSF-associated transcriptional program. This was linked to reduced permissiveness to respiratory MCMV infection in vivo. Overall, our findings identify the role of M-CSF-dependent signalling in conferring plasticity to AM, when it is most needed, particularly during early-life establishment and in response to viral infection.

immunology↗

bioRxiv2022

CIARA: a cluster-independent algorithm for the identification of markers of rare cell types from single-cell RNA seq data

A powerful feature of single-cell RNA-sequencing data analysis is the possibility to identify novel rare cell types. However, rare cell types are often missed by standard clustering approaches. We have developed CIARA (Cluster Independent Algorithm for the identification of markers of RAre cell types), a computational tool available in R and Python that outperforms existing methods for rare cell type detection. With CIARA, we found a small group of precursor cells among mouse embryonic stem cells and previously uncharacterized rare populations of cells in a human gastrula.

bioinformatics↗

bioRxiv2020

Differences in mitochondrial activity trigger cell competition during early mouse development.

Cell competition is emerging as a quality control mechanism that eliminates unfit cells in a wide range of settings from development to the adult. However, the nature of the cells normally eliminated by cell competition and what triggers their elimination remains poorly understood. In mouse, prior to gastrulation 35% of epiblast cells are eliminated. Here we have performed single cell transcriptional profiling of these cells and find that they show the hallmarks of cell competition and have mitochondrial defects. We demonstrate that mitochondrial defects are common to a range of different loser cell types and that manipulating mitochondrial function is sufficient to trigger competition. Importantly, we show that in the embryo cell competition eliminates cells with mitochondrial DNA mutations and that even non-pathological changes in mitochondrial DNA sequence can induce cell competition. Our results therefore suggest that cell competition is a purifying selection that optimises mitochondrial performance prior to gastrulation.

developmental biology↗