Publications by authors named "W A Silveira"

Article Synopsis
  • - Machine learning is essential for analyzing large biological datasets and improving predictions, especially given the recent increase in biological data from high-throughput technologies.
  • - The study highlights the necessity for effective modeling approaches to interpret complex molecular systems better.
  • - The authors demonstrate how to use automated machine learning (AutoML) to create a model for predicting protein abundance in Schizosaccharomyces pombe by analyzing data from codon usage bias and quantitative proteomics.
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Article Synopsis
  • - The study aimed to find specific microRNAs (miRNAs) and their mRNA targets that influence how well patients with advanced invasive ductal carcinoma respond to chemotherapy.
  • - Researchers compared miRNA expression in patients who responded positively to treatment versus those who did not, utilizing data from The Cancer Genome Atlas (TCGA) for deeper analysis.
  • - A predictive model based on 24 differentially expressed miRNAs was developed, revealing key miRNAs linked to chemotherapy success, and proposed further exploration to validate these findings.
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Products from stingless bees are rich reservoirs of microbial diversity, including yeasts with fermentative potential. Previously, two Saccharomyces cerevisiae strains, JP14 and IP9, were isolated from Jataí (Tetragonisca angustula) and Iraí (Nannotrigona testaceicornis) bees, respectively, aiming at mead production. Both strains presented great osmotic and sulfite tolerance, and ethanol production, although they have a high free amino nitrogen demand.

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Background And Aim: Although it is well established that hormones like glucagon stimulates gluconeogenesis via the PKA-mediated phosphorylation of CREB and dephosphorylation of the cAMP-regulated CREB coactivators CRTC2, the role of neural signals in the regulation of gluconeogenesis remains uncertain.

Methods And Results: Here, we characterize the noradrenergic bundle architecture in mouse liver; we show that the sympathoexcitation induced by acute cold exposure promotes hyperglycemia and upregulation of gluconeogenesis via triggering of the CREB/CRTC2 pathway. Following its induction by dephosphorylation, CRTC2 translocates to the nucleus and drives the transcription of key gluconeogenic genes.

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Article Synopsis
  • Missions into Deep Space this decade are concerning due to potential health risks from microgravity and galactic cosmic radiation, especially for kidneys.
  • Researchers used various biological and clinical analyses on samples from spaceflight-exposed mice, humans, and simulated environments.
  • Key findings reveal that spaceflight causes kidney-related issues like increased risk of kidney stones, changes in nephron structure, and damage from radiation exposure.
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