Biology subjects

Chica, C.

Publications and source records attributed to Chica, C..

7 recordsLinked to original sources

bioRxiv2026

Stress-responsive Mycobacterium tuberculosis subpopulations manipulate macrophage polarization and can be targeted to limit inflammation

Tuberculosis is characterized by broad clinical heterogeneity that hinders infection control, with differences in lesion development, progression, and treatment outcomes. This complexity is likely associated with Mycobacterium tuberculosis inherent phenotypic variation and its capacity to diversify under host microenvironmental and antimicrobial stressors. Here, we analyze M. tuberculosis at the single-cell and subpopulation level using fluorescent reporters, imaging, transcriptomic, and functional assays. We identify RNA signatures specific to stress-responsive bacilli with translational potential. Focusing on the clinically validated chaperone GroEL2, we find that it correlates with M. tuberculosis growth rate and stress tolerance in vitro and intracellularly. Furthermore, GroEL2 phenotypic diversity influences innate responses in macrophages, which experience different polarization, in turn affecting GroEL2 expression. We also show that targeting GroEL2 impairs pathogen survival and dampens inflammation. This study provides a link between pathogen phenotypic variation and macrophage fates, with implications for early infection outcomes, local disease progression, and subpopulation-targeted interventions.

microbiology↗

bioRxiv2025

NK cells undergo transcriptional and functional reprogramming following Streptococcus pneumoniae infection

Natural Killer (NK) cells are cytotoxic lymphocytes and key mediators of innate immunity, essential for combating viral infections and cancer. Notably, they exhibit immunological memory, generating a stronger response upon re-exposure to the same stimulus. While NK cell memory holds promise for infection control, its role in bacterial infections remains poorly understood. Previously, we demonstrated that Streptococcus pneumoniae induces long-term, specific, and protective NK cell memory. In this study, we performed single-cell RNA-seq to uncover how NK cells respond to S. pneumoniae infection. Our findings reveal that challenged Memory (cMemory) NK cells undergo transcriptional reprogramming following S. pneumoniae infection and have a differential transcriptional response upon reinfection. In addition, we identified distinct cMemory NK cell subpopulations, with responding cMemory NK cells displaying a general enhanced activation, proliferation, and cytotoxic activity. These findings support a novel role for NK cells in the context of bacterial infections, thereby opening avenues for harnessing the potential of innate immune memory for therapeutic applications.

immunology↗

bioRxiv2025

The epigenomic landscape of bronchial epithelial cells reveals the establishment of trained immunity

BackgroundInnate immune memory, also called trained immunity, refers to the ability of innate immune cells to gain memory characteristics after transient stimulation, resulting in a nonspecific modified inflammatory response upon secondary remote challenge. Bronchial epithelial cells (BECs) participate in innate immune defence and are the first cells of the lower respiratory tract to encounter inhaled pathogens. We recently showed that BECs are capable of innate immune memory after preexposure to Pseudomonas aeruginosa flagellin through epigenetic mechanisms. In the present study, we investigated such mechanisms through the modification of chromatin architecture induced by flagellin preexposure that results in subsequent changes of gene expression. ResultsBy conducting an unsupervised approach to jointly analyse chromatin accessibility and gene expression, we mapped the remodelling of the epigenomic and transcriptomic profiles during the establishment of BECs memory. We identified a Memory regulatory profile induced by flagellin exposure. It includes clusters of upregulated genes related to inflammation that are linked to a sustainable gain in chromatin accessibility and with an increased activity of specific factors (TFs) whose binding may drive this process. ConclusionsIn summary, we demonstrated that flagellin exposure induced changes in chromatin condensation in BECs, which sustains the reprogramming of transcriptional patterns

genetics↗

bioRxiv2023

Epithelial cells maintain memory of prior infection with Streptococcus pneumoniae through di-methylation of histone H3

Epithelial cells are the first point of contact for bacteria entering the respiratory tract. Streptococcus pneumoniae is an obligate human pathobiont of the nasal mucosa, carried asymptomatically but also the cause of severe pneumonia. The role of the epithelium in maintaining homeostatic interactions or mounting an inflammatory response to invasive S. pneumoniae is currently poorly understood. However, studies have shown that chromatin modifications, at the histone level, induced by bacterial pathogens interfere with the host transcriptional program and promote infection. In this study, we demonstrate that S. pneumoniae actively induces di-methylation of lysine 4 on histone H3 (H3K4me2), which persists for at least 9 days upon clearance of bacteria with antibiotics. We show that infection establishes a unique epigenetic program affecting the transcriptional response of epithelial cells, rendering them more permissive upon secondary infection. Our results establish H3K4me2 as a unique modification induced by infection, distinct from H3K4me3, which localizes to enhancer regions genome-wide. Therefore, this study reveals evidence that bacterial infection leaves a memory in epithelial cells after bacterial clearance, in an epigenomic mark, thereby altering cellular responses for subsequent infection.

cell biology↗

bioRxiv2021

Epigenomic signature of the progeroid Cockayne syndrome exposes distinct and common features with physiological ageing

Cockayne syndrome (CS) and UV-sensitivity syndrome (UVSS) are rare genetic disorders caused by mutation of the DNA repair and chromatin remodelling proteins CSA or CSB, but only CS patients display a progeroid and neurodegenerative phenotype. As epigenetic modifications constitute a well-established hallmark of ageing, we characterized genome-wide DNA methylation (DNAm) of fibroblasts from CS versus UVSS patients and healthy donors. The analysis of differentially methylated positions and regions revealed a CS-specific epigenetic signature, enriched in developmental transcription factors, transmembrane transporters, and cell adhesion factors. The CS-specific signature compared to DNAm changes in other progeroid diseases and regular ageing, identifyied commonalities and differences in epigenetic remodelling. CS shares DNAm changes with normal ageing more than other progeroid diseases do, and according to the methylation clock CS samples show up to 13-fold accelerated ageing. Thus, CS is characterized by a specific epigenomic signature that partially overlaps with and exacerbates DNAm changes occurring in physiological aging. Our results unveil new genes and pathways that are potentially relevant for the progeroid/degenerative CS phenotype.

molecular biology↗

bioRxiv2021

ChIPuana: from raw data to epigenomic dynamics

We present ChIPflow, a Snakemake-based pipeline for epigenomic data from the raw fastq files to the differential analysis. It can be applied to any chromatin factor, e.g. histone modification or transcription factor, which can be profiled with ChIP-seq. ChIPflow streamlines critical steps like the quality assessment of the immunoprecipitation using cross-correlation and the replicate comparison for both narrow and broad peaks. For the differential analysis ChIPflow provides linear and nonlinear methods for normalisation between samples as well as conservative and stringent models for estimating the variance and testing the significance of the observed binding/marking differences. ChIPflow can process in parallel multiple chromatin factors with different experimental designs, number of biological replicates and/or conditions. It also facilitates the specific parametrisation of each dataset allowing both narrow or broad peak calling, as well as comparisons between the conditions using multiple statistical settings. Finally, complete reports are produced at the end of the bioinformatic and the statistical part of the analysis, which facilitate the data quality control and the interpretation of the results. We explored the discriminative power of the statistical settings for the differential analysis, using a published dataset of three histone marks (H3K4me3, H3K27ac and H3K4me1) and two transcription factors (Oct4 and Klf4) profiled with ChIP-seq in two biological conditions (shControl and shUbc9). We show that distinct results are obtained depending on the sources of ChIP-seq variability and the dynamics of the chromatin factor under study. We propose that ChIPflow can be used to measure the richness of the epigenomic landscape underlying a biological process by identifying diverse regulatory regimes and the associated genes sets.

bioinformatics↗

bioRxiv2021

The CovR regulatory network drives the evolution of Group B Streptococcus virulence

Virulence of the neonatal pathogen Group B Streptococcus depends on the master regulator CovR. Inactivation of CovR leads to large-scale transcriptome remodeling and impairs almost every step of the interaction between the pathogen and the host. However, comparative analyses suggested a plasticity of the CovR signalling pathway in clinical isolates, probably due to the host selective pressure and leading to phenotypic heterogeneity in the bacterial population. Here, we characterize the CovR regulatory network in a strain representative of the hypervirulent lineage responsible of the majority of late-onset meningitidis. Genome-wide binding and transcriptome analysis demonstrated that CovR acts as a direct and global repressor of virulence genes, either as a primary regulator or with specialized co-regulators. Remarkably, CovR directly regulates genes of the pan-genome, including the two specific hypervirulent adhesins and horizontally acquired genes, as well as core-genes showing mutational biases in the population. Parallel analysis of the CovR network in a second isolate links strain-specificities to micro-evolutions in CovR-regulated promoters and to broad difference due to variability in CovR activation by phosphorylation. Our results highlight the direct, coordinated, and strain-specific regulation of virulence genes by CovR. This intra-species evolution of the signalling network reshapes bacterial-host interactions, increasing the potential for adaptation and the emergence of clone associated with specific diseases.

microbiology↗