644 results found
    1. Immunology and Inflammation

    Multiplexed imaging of immune cells in staged multiple sclerosis lesions by mass cytometry

    Valeria Ramaglia, Salma Sheikh-Mohamed ... Jennifer L Gommerman
    Imaging mass cytometry simultaneously lights up distinct immune cells in the brain.
    1. Computational and Systems Biology
    2. Immunology and Inflammation

    ImmunoCluster provides a computational framework for the nonspecialist to profile high-dimensional cytometry data

    James W Opzoomer, Jessica A Timms ... Shahram Kordasti
    ImmunoCluster permits nonspecialist users to interrogate liquid and imaging mass, and flow cytometry datasets, resolving novel layers of cellular heterogeneity and insight, as well as producing publishable outputs and figures.
    1. Immunology and Inflammation

    Endocannabinoids and their receptors modulate endometriosis pathogenesis and immune response

    Harshavardhan Lingegowda, Katherine B Zutautas ... Chandrakant Tayade
    Cannabinoid receptors CNR1 and CNR2 play distinct roles in endometriosis pathogenesis, potentially contributing to disease initiation and progression through differential modulation of T cell function and the lesion microenvironment.
    1. Immunology and Inflammation
    2. Medicine

    Neutrophil-mediated fibroblast-tumor cell il-6/stat-3 signaling underlies the association between neutrophil-to-lymphocyte ratio dynamics and chemotherapy response in localized pancreatic cancer: A hybrid clinical-preclinical study

    Iago de Castro Silva, Anna Bianchi ... Jashodeep Datta
    A neutrophil-CAF-tumor cell IL-1β/IL-6/STAT-3 signaling axis in the pancreatic tumor microenvironment underlies the association between neutrophil-to-lymphocyte ratio dynamics and pathologic response in patients with pancreatic ductal adenocarcinoma undergoing neoadjuvant therapy.
    1. Microbiology and Infectious Disease

    High-resolution mapping of fluoroquinolones in TB rabbit lesions reveals specific distribution in immune cell types

    Landry Blanc, Isaac B Daudelin ... Véronique Dartois
    Penetration of the fluoroquinolones in tuberculosis lesions is heterogeneous even in fully cellular areas, is driven by macrophage content and decreases as the distance from lesion outer rim increases.
    1. Cancer Biology
    2. Computational and Systems Biology

    Predicting progression-free survival after systemic therapy in advanced head and neck cancer: Bayesian regression and model development

    Paul R Barber, Rami Mustapha ... Tony Ng
    Circulating immune cells reflect intra-tumoural immunity and can predict response to systemic therapy in head and neck cancer.
    1. Chromosomes and Gene Expression
    2. Genetics and Genomics

    A precisely adjustable, variation-suppressed eukaryotic transcriptional controller to enable genetic discovery

    Asli Azizoglu, Roger Brent, Fabian Rudolf
    A new gene expression tool enables precise control of protein dosage over a large range and paves the way for new genetic discoveries.
    1. Computational and Systems Biology
    2. Immunology and Inflammation

    Cytotoxic T cells swarm by homotypic chemokine signalling

    Jorge Luis Galeano Niño, Sophie V Pageon ... Maté Biro
    Killer T cells swarm around tumour targets by accelerating the recruitment of distant T cells, which upon arrival and target engagement augment the chemotactic signal in a positive feedback loop.
    1. Computational and Systems Biology
    2. Immunology and Inflammation

    Unsupervised machine learning reveals key immune cell subsets in COVID-19, rhinovirus infection, and cancer therapy

    Sierra M Barone, Alberta GA Paul ... Jonathan M Irish
    Rare, virus-specific immune cells in human blood are automatically identified by machine learning algorithm T-REX and characterized for signature features needed for tracking and isolation.
    1. Computational and Systems Biology

    Unsupervised machine learning reveals risk stratifying glioblastoma tumor cells

    Nalin Leelatian, Justine Sinnaeve ... Jonathan M Irish
    A new automated and unsupervised algorithm, Risk Assessment Population IDentification, identifies risk-stratifying cells in single cell datasets with robust statistical and biological validation.

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