bioRxiv Science⌕ Search

Biology subjects

Fernandes, D. R.

Publications and source records attributed to Fernandes, D. R..

3 recordsLinked to original sources

CD24 Acts as an Evolutionarily Conserved Innate Immune Checkpoint in Colorectal Cancer

Checkpoint immunotherapy has transformed cancer treatment, yet current approaches targeting adaptive immunity benefit only a subset of patients, leaving innate immunity as a largely untapped therapeutic frontier. Here, we identify CD24 as an innate immune checkpoint that protects colorectal tumors from macrophage-mediated clearance through an evolutionarily conserved recognition mechanism. Using zebrafish xenografts of isogenic colorectal cancer (CRC) cell lines, SW480 and SW620, we show that high CD24 expression in SW620 correlates with an immune-evasive, macrophage-resistant phenotype. Loss of human CD24 dramatically sensitizes tumors to clearance in zebrafish, while pharmacological macrophage depletion abolishes this effect. Mechanistically, CD24 suppresses innate immunity in a multilayered fashion, by limiting myeloid recruitment, dampening TNF-driven macrophage inflammatory polarization, and blocking phagocytosis. Live imaging further revealed that CD24 constrains macrophages to a restrained, patrol-like state, and that its loss enables them to adopt a highly motile, tumor-directed, and functionally engaged state, characterized by increased fusion activity and myeloid intercellular interactions. We show that zebrafish macrophages respond to human CD24 despite extensive evolutionary divergence, and glycocalyx profiling revealed broad remodeling of the tumor cell surface upon CD24 loss, suggesting evolutionary conservation of sialic acid-dependent receptor recognition. Transcriptomic analyses identified the Siglec-like gene si:dkey-24p1.7 as a candidate zebrafish macrophage-expressed receptor mediating this response. Finally, analysis of TCGA CRC cohorts revealed that CD24 expression is a stage-dependent prognostic marker, underscoring the clinical relevance of this axis. Together, these findings establish CD24 as a critical orchestrator of innate immune evasion in CRC, while further validating zebrafish xenografts as a powerful platform for dissecting innate immuno-oncobiology in vivo.

cancer biology↗

Deregulation of multiple mechanisms shapes the onset of LAMA2-congenital muscular dystrophy

LAMA2-congenital muscular dystrophy (LAMA2-CMD) is the most common congenital muscular dystrophy. This often-lethal disease is triggered by mutations in LAMA2, coding for laminin-2 chain, a key extracellular matrix (ECM) component, prevalent in the skeletal muscle. Several phenotypes have been associated with LAMA2-CMD, however, it is not yet known what mechanisms are faulty, right at disease onset in utero. Using the dyW mouse model of LAMA2-CMD we showed that the disease onset is characterized by a profound downregulation of gene expression, with a marked effect on cytoskeletal organization, myoblast differentiation and fusion and altered DNA repair and oxidative stress responses. Concordantly, we found that Lama2-deficient myoblast cells displayed proliferation and differentiation defects, increased oxidative stress and DNA damage. Together, our findings provide unique insights into the processes dependent on laminin-2 chain during muscle development, revealing its critical importance to maintain muscle cell homeostasis already at fetal stages.

developmental biology↗

rSWeeP: A R/Bioconductor package deal with SWeeP sequences representation

The rSWeeP package is an R implementation of the SWeeP model, designed to handle Big Data. rSweeP meets to the growing demand for efficient methods of heuristic representation in the field of Bioinformatics, on platforms accessible to the entire scientific community. We explored the implementation of rSWeeP using a dataset containing 31,386 viral proteomes, performing phylogenetic and principal component analysis. As a case study we analyze the viral strains closest to the SARS-CoV, responsible for the current pandemic of COVID-19, confirming that rSWeeP can accurately classify organisms taxonomically. rSWeeP package is freely available at https://bioconductor.org/packages/release/bioc/html/rSWeeP.html.

bioinformatics↗