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Fernandes, D. R.

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

2 recordsLinked to original sources

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↗