Biology subjects

Cabral, A.

Publications and source records attributed to Cabral, A..

4 recordsLinked to original sources

bioRxiv2025

Kruppel-like factor 1 acts upstream of the SKN-1/Nrf transcription factors to modulate oxidative stress, lipid homeostasis and longevity

Maintenance of lipid and redox homeostasis are essential for stress resistance and longevity, but the transcriptional networks coordinating these processes remain incompletely understood. In Caenorhabditis elegans, the transcription factors SKN-1A/Nrf1 and SKN-1C/Nrf2 mediate distinct stress responses that promote proteostasis, lipid homeostasis, and oxidative stress. Here we identify the Kruppel-like factor KLF-1 as a critical upstream regulator of both SKN-1A and SKN-1C. We show that KLF-1 is required for the oxidative stress resistance and longevity of germline-deficient animals. Genetic interaction studies showed that KLF-1 acts in parallel to the lipogenic regulator Sterol regulatory element-Binding Protein 1 (SBP-1/SREBP1), whereas the related KLF-2 exerts opposing effects on lipid accumulation through SBP-1. Together, these findings place KLF-1 and KLF-2 within a transcriptional network that integrates lipid metabolism, oxidative stress responses, and aging. This work uncovers a conserved regulatory network linking KLFs and SKN-1/Nrf transcription factors in the maintenance of lipid homeostasis and longevity assurance.

cell biology↗

bioRxiv2023

Adaptation to volumetric compression drives hepatoblastoma cells to an apoptosis-resistant and invasive phenotype

Liver cancer involves tumor cells rapidly growing within a packed tissue environment. Patient tumor tissues reveal densely packed and deformed cells, especially at tumor boundaries, indicative of physical crowding and compression. It is not well understood how these physical signals modulate tumor evolution and therapeutic susceptibility. Here we investigate the impact of volumetric compression on liver cancer (HepG2) behavior. We find that conditioning cells under a highly compressed state leads to major transcriptional reprogramming, notably the loss of hepatic markers, the epithelial-to-mesenchymal transition (EMT)-like changes, and altered calcium signaling-related gene expression, over the course of several days. Biophysically, compressed cells exhibit increased Rac1-mediated cell spreading and cell-extracellular matrix interactions, cytoskeletal reorganization, increased YAP and {beta}-catenin nuclear translocation, and dysfunction in cytoplasmic and mitochondrial calcium signaling. Furthermore, compressed cells are resistant to chemotherapeutics and desensitized to apoptosis signaling. Apoptosis sensitivity can be rescued by stimulated calcium signaling. Our study demonstrates that volumetric compression is a key microenvironmental factor that drives tumor evolution in multiple pathological directions and highlights potential countermeasures to re-sensitize therapy-resistant cells. Significance statementCompression can arise as cancer cells grow and navigate within the dense solid tumor microenvironment. It is unclear how compression mediates critical programs that drive tumor progression and therapeutic complications. Here, we take an integrative approach in investigating the impact of compression on liver cancer. We identify and characterize compressed subdomains within patient tumor tissues. Furthermore, using in vitro systems, we induce volumetric compression (primarily via osmotic pressure but also via mechanical force) on liver cancer cells and demonstrate significant molecular and biophysical changes in cell states, including in function, cytoskeletal signaling, proliferation, invasion, and chemoresistance. Importantly, our results show that compressed cells have impaired calcium signaling and acquire resistance to apoptosis, which can be countered via calcium mobilization.

cancer biology↗

bioRxiv2022

SIMMAM 3.0 - Updating the Toolbox for the Conservation of Marine Mammals

SIMMAM (Sistema de Apoio ao Monitoramento de Mamiferos Marinhos) has been available for marine mammal researchers and environmental agencies in Brazil since 2005. However, it had to be updated, to adapt to new standards and data sharing policies. SIMMAM 3.0 uses more modern technologies (PHP 7.4, Symfony 5.x, PostgreSQL 11.x, PostGIS 3.x, Leaflet 1.7) and is compliant to DarwinCore (DwC) standard and able to exchange data with other data portals that use it. Its database now holds more than 44000 marine mammal records and is an important tool in the decision-making process of Brazilian environmental agencies.

bioinformatics↗

bioRxiv2020

No one-size-fits-all solution to clean GBIF

Species occurrence records provide the basis for many biodiversity studies. They derive from georeferenced specimens deposited in natural history collections and visual observations, such as those obtained through various mobile applications. Given the rapid increase in availability of such data, the control of quality and accuracy constitutes a particular concern. Automatic filtering is a scalable and reproducible means to identify potentially problematic records and tailor datasets from public databases such as the Global Biodiversity Information Facility (GBIF; www.gbif.org), for biodiversity analyses. However, it is unclear how much data may be lost by filtering, whether the same filters should be applied across all taxonomic groups, and what the effect of filtering is on common downstream analyses. Here, we evaluate the effect of 13 recently proposed filters on the inference of species richness patterns and automated conservation assessments for 18 Neotropical taxa, including terrestrial and marine animals, fungi, and plants downloaded from GBIF. We find that a total of 44.3% of the records are potentially problematic, with large variation across taxonomic groups (25 - 90%). A small fraction of records was identified as erroneous in the strict sense (4.2%), and a much larger proportion as unfit for most downstream analyses (41.7%). Filters of duplicated information, collection year, and basis of record, as well as coordinates in urban areas, or for terrestrial taxa in the sea or marine taxa on land, have the greatest effect. Automated filtering can help in identifying problematic records, but requires customization of which tests and thresholds should be applied to the taxonomic group and geographic area under focus. Our results stress the importance of thorough recording and exploration of the meta-data associated with species records for biodiversity research.

ecology↗