Biology subjects

Boeck, L.

Publications and source records attributed to Boeck, L..

5 recordsLinked to original sources

bioRxiv2026

BaSiCPy: Scalable and Robust Shading Correction for Optical Microscopy Images

Quantitative fluorescence microscopy is frequently confounded by spatially varying illumination and temporal intensity drift. Although BaSiC is a widely adopted retrospective correction method, it can fail when foreground content is strongly correlated across images--a common regime in time-lapse, tiled and volumetric acquisitions--and its application often requires manual parameter tuning that limits reproducibility and scalability. We introduce BaSiCPy, a foreground-aware implementation of BaSiC that improves illumination profile estimation under correlated foreground structures, provides automatic hyperparameter selection and accelerates large-scale processing through GPU support. BaSiCPy is distributed as an open-source Python package with graphical and programmatic interfaces, facilitating integration into contemporary bioimage analysis workflows.

bioengineering↗

bioRxiv2025

c-Myc inhibits macrophage antimycobacterial response in Mycobacterium tuberculosis infection

Mycobacterium tuberculosis (MTB) is a major global cause of mortality worldwide, responsible for over a million deaths annually. Despite this burden, natural immunity prevents disease in more than 90% of exposed individuals. Previous studies have identified interferon-gamma (IFN-{gamma}) as a key regulator of innate immune defense against MTB. Here, we investigate the impact of IFN-{gamma} timing on macrophage-mediated control of MTB infection. We demonstrate that IFN-{gamma} exposure before infection enhances macrophage antibacterial activity, whereas post-infection exposure does not. Further investigation into this phenotype revealed a strong association between c-Myc signaling and macrophage function in MTB control, as identified using unbiased in vitro systems approaches. Given the challenge of perturbing c-Myc in primary cells, we developed a lentiviral system for c-Myc inhibition and overexpression. Using a tetracycline-inducible Omomyc system - a small peptide inhibitor of c-Myc - we show that c-Myc inhibition promotes a pro-inflammatory macrophage phenotype with enhanced antimycobacterial activity. Mechanistically, c-Myc inhibition induces metabolic reprogramming via increased mTORC1 activity, leading to upregulated inducible nitric oxide synthase and improved bacterial control. In vivo analyses, including murine models and human clinical histopathology, reveal a strong correlation between c-Myc expression and MTB persistence, as well as active tuberculosis (TB), suggesting a role for c-Myc in immune evasion. These findings reveal c-Myc as a potential mediator of immune privilege in MTB infection and highlight its role as a promising target for novel TB therapies aimed at enhancing macrophage function.

immunology↗

bioRxiv2024

Antibiotic lethality dictates mycobacterial infection outcomes

Antibiotic development and treatment focus on bacterial growth inhibition, often with limited success. Here, we introduce Antimicrobial Single-Cell Testing (ASCT), an advanced imaging strategy to assess bacterial killing in real-time. By tracking 140 million bacteria and generating over 20,000 in vitro time-kill curves, we can predict Mycobacterium tuberculosis treatment outcomes in mice and humans and link strain-specific survival (drug tolerance) in Mycobacterium abscessus to clinical responses. Using ASCT, we reveal drug tolerance as a distinct genetically encoded bacterial trait conserved across drugs with similar targets and, via genome-wide associations, uncover molecular mechanisms that govern bacterial killing. This study establishes the technical framework and in vivo validation for large-scale bacterial killing assessments to advance our understanding of bacterial survival, antibiotic development and clinical decision-making.

microbiology↗

bioRxiv2023

Mycobacterium tuberculosis infection associated immune perturbations correlate with antiretroviral immunity

Infection with Mycobacterium tuberculosis (MTB) remains one of the most important opportunistic infections in people with HIV-1 (PWH). While active Tuberculosis (TB) leads to rapid progression of immunodeficiency in PWH, the interaction between MTB and HIV-1 during the asymptomatic phase of both infections remains poorly understood. In a cohort of individuals with HIV (PWH) with and without suppressed HIV-1 viral load, the transcriptomic profiles of peripheral blood mononuclear cells (PBMC) clustered in individuals infected with Mycobacterium tuberculosis (MTB) compared to carefully matched controls. Subsequent functional annotation analysis disclosed alterations in the IL-6, TNF, and KRAS pathways. Notably, MTB-associated genes demonstrated an inverse correlation with HIV-1 viremia, evident at both on individual gene level and when employed as a gene score. In sum, our data show that MTB infection in PWH is associated with a shift in the activation state of the immune system, displaying an inverse relationship with HIV-1 viral load. These results could provide an explanation for the observed increased antiretroviral control associated with MTB infection in PWH.

immunology↗

bioRxiv2021

The pathobiology of Mycobacterium abscessus revealed through phenogenomic analysis

The medical and scientific response to emerging pathogens is often severely hampered by ignorance of the genetic determinants of virulence, drug resistance, and clinical outcomes that could be used to identify therapeutic drug targets and forecast patient trajectories 1-5. Taking the newly emergent multidrug-resistant bacteria Mycobacterium abscessus as an example 6, we show that combining high dimensional phenotyping with whole genome sequencing in a phenogenomic analysis can rapidly reveal actionable systems-level insights into bacterial pathobiology. Using in vitro and in vivo phenotyping, we discovered three distinct clusters of isolates, each associated with a different clinical outcome. We combined genome-wide association studies (GWAS) with proteome-wide computational structural modelling 7 to define likely causal variants, and employed direct coupling analysis (DCA) 8 to identify co-evolving, and therefore potentially epistatic, gene networks. We then used in vivo CRISPR-based silencing to validate our findings, defining a novel secretion system controlling virulence in M. abscessus, and illustrating how phenogenomics can reveal critical pathways within emerging pathogenic bacteria.

microbiology↗