Publications by authors named "Gabriel S Arini"

Article Synopsis
  • - Untargeted metabolomics, often reliant on data-dependent acquisition (DDA), has limitations in fragmenting all detected ions and specificity, prompting the development of a dynamic procedure to enhance detection of biological signals.
  • - The study analyzed three species of actinomycetes using liquid chromatography and mass spectrometry, employing MZmine for preprocessing and a custom tool, RegFilter, for data processing.
  • - RegFilter improved ion detection by covering the whole chromatographic run and allowed for the annotation of biologically relevant candidates, thus serving as a valuable complement to DDA and enabling the creation of customized spectral libraries.
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Motivation: Annotation of the mass signals is still the biggest bottleneck for the untargeted mass spectrometry analysis of complex mixtures. Molecular networks are being increasingly adopted by the mass spectrometry community as a tool to annotate large-scale experiments. We have previously shown that the process of propagating annotations from spectral library matches on molecular networks can be automated using Network Annotation Propagation (NAP).

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Article Synopsis
  • Exercise positively impacts health and helps diagnose aging-related diseases by altering mitochondrial function in muscles.
  • The study found that a single exercise session triggers a cycle of mitochondrial fragmentation followed by fusion, which helps delay the decline of physical fitness with aging.
  • AMPK plays a critical role in maintaining physical fitness and enhancing muscle function through the regulation of mitochondrial dynamics, suggesting that targeting mitochondrial processes and AMPK could improve muscle function in older adults.
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Pancreatic ductal adenocarcinomas (PDAC) are the fourth leading cause of death due to neoplasms. In view of the urgent need of effective treatments for PDAC, photodynamic therapy (PDT) appears as a promising alternative. However, its efficacy against PDAC and the mechanisms involved in cell death induction remain unclear.

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During type 1 diabetes mellitus (T1DM) development, beta-cells undergo intense endoplasmic reticulum (ER) stress that could result in apoptosis through the failure of adaptation to the unfolded protein response (UPR). Islet transplantation is considered an attractive alternative among beta-cell replacement therapies for T1DM. To avoid the loss of beta-cells that will jeopardize the transplant's outcome, several strategies are being studied.

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Background: Glioblastoma is the most frequent and high-grade adult malignant central nervous system tumor. The prognosis is still poor despite the use of combined therapy involving maximal surgical resection, radiotherapy, and chemotherapy. Metabolic reprogramming currently is recognized as one of the hallmarks of cancer.

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Lack of effective treatments for aggressive breast cancer is still a major global health problem. We have previously reported that photodynamic therapy using methylene blue as photosensitizer (MB-PDT) massively kills metastatic human breast cancer, marginally affecting healthy cells. In this study, we aimed to unveil the molecular mechanisms behind MB-PDT effectiveness and specificity towards tumor cells.

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Photodynamic therapy (PDT) appears as a promising alternative in the treatment of breast cancer since it can be highly effective in curing cancer while preserving normal tissue. However, predicting outcomes in PDT still constitutes a great challenge. One of the parameters that are usually empirically determined is the rate of photon flux delivered to the tissue (light fluence rate).

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