A5031267351- Mathematical Biology Tumor Growth
- Cancer Research and Treatment
- Gene Regulatory Network Analysis
- Nanoparticle-Based Drug Delivery
- Molecular Biology Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Cancer Genomics and Diagnostics
- Epigenetics and DNA Methylation
- Cell Image Analysis Techniques
- Microtubule and mitosis dynamics
- Organoselenium and organotellurium chemistry
- Molecular Communication and Nanonetworks
- Cancer Cells and Metastasis
- Data Analysis with R
- Synthesis and biological activity
- Single-cell and spatial transcriptomics
- Curcumin's Biomedical Applications
- Cancer, Lipids, and Metabolism
- Bladder and Urothelial Cancer Treatments
- Computational Physics and Python Applications
- Vitamin D Research Studies
- CRISPR and Genetic Engineering
- Retinoids in leukemia and cellular processes
- Click Chemistry and Applications
- Bioinformatics and Genomic Networks
Universidade Federal do Rio Grande do Sul
2019-2024
Universidade Federal de Pelotas
2014-2020
Brazilian Agricultural Research Corporation
2014
Herein we report the use of ultrasonic irradiation (US) in synthesis six new semi-synthetic selenium-containing chrysin derivatives by a simple and effective methodology utilizing CuI as catalyst, good to excellent yields (60-89%). It was observed that US accelerates reaction compared conventional heating with selectivity for diselenylated products. Compounds were tested their antioxidant anticancer activities vitro it presence selenium A-ring enhanced both properties. Semi-synthetic...
ABSTRACT Cancer cells have heterogeneous fitness, and this heterogeneity stems from genetic epigenetic sources. Here, we sought to assess the contribution of asymmetric mitosis (AM) time on variability fitness in sister cells. Around one quarter sisters had differences assessed as intermitotic (IMT), 330 510 min. Phenotypes related such ERK activity (herein referring ERK1 ERK2, also known MAPK3 MAPK1, respectively), DNA damage nuclear morphological phenotypes were at or turned over course...
Transitional cell carcinoma (TCC) represents the most frequent type of bladder cancer. Recently, studies have focused on molecular tumor classifications in order to diagnose subtypes and predict future clinical behavior. Increased expression HER1 HER2 receptors TTC is related advanced stage tumors. Lapatinib an important alternative treat tumors that presents this phenotype due its ability inhibit tyrosine kinase residues associated with receptors. This study evaluated cytotoxicity induced...
Several phenotypes that impact the capacity of cancer cells to survive and proliferate are dynamic. Here we used number in colonies as an assessment fitness devised a novel method called Dynamic Fitness Analysis (DynaFit) measure dynamics over course colony formation. DynaFit is based on variance growth rate population founder compared with different sizes. revealed cell lines, primary cells, fibroblasts under unhindered conditions Key cellular mechanisms such ERK signaling cell-cycle...
The study of gene expression in maize varieties represents a powerful tool aiming to increase vitamin A precursors. However, the isolation RNA from different is challenging because these show levels polysaccharides, and most methods available for are inappropriate grain samples. polysaccharides co-purify co-precipitate with during isolation, resulting low-quality RNA, compromising use subsequent applications. Thus, cetyltrimethylammonium bromide (CTAB)-based method was adapted this compared...
Abstract This article discloses the synthesis and biological in vitro activity of a novel class compounds derived from 5′‐arylchalcogenyl‐3‐(phenylselanyl‐triazoyl)‐thymidine as antitumor agents 5637 bladder carcinoma. The new molecules obtained good yields proved to be efficient. property, which was presented by series these unpublished compounds, demonstrates importance presence nucleoside portion chalcogenium atom molecule.
High-throughput time-lapse microscopy has allowed researchers to monitor individual cells as they grow into colonies and react treatments, but a deeper understanding of the data obtained after image analysis is still lacking. This partly due biological computational challenges related long-running experiments single-cell tracking. In this work, we present Clonal Variability Simulator (CloVarS), Python tool for generating synthetic lineage trees model experiments. After colony initialization,...
<p>Video explaining the use of DynaFit Desktop app and R some applications.</p>
<p>Video explaining the use of DynaFit Desktop app and R some applications.</p>
<p>Video describing the basic concepts of DynaFit</p>
<p>Supplementary Fig. S5  Growth characteristics of individual treated colonies. a, GR all colonies used in 1e. Mean {plus minus} SD red. b. Pairwise correlations among the three GRs. c. variance GR2 U251 glioma according to number cells CS1 or rate with 1 and 2 were different from growth rates (ANOVA, Tukey's multiple comparison post-hoc test). d, Distribution each bin for e, indicated cell lines at high low density. f, CVP g, hypothesis plot line A172wt (WT), GFP-tagged alone...
<p>Supplementary Fig. S2 DynaFit implementations. a, data collected from Supplementary S1c is given as input to the two DynaFit apps. The Python bootstrap app and R predictive modeling are based on different analytical strategies. b, Colony Variance Plot formed by c, its hypothesis plot. d, e, plot.</p>
<p>Supplementary Fig. S3Analysis of the desynchronization colonies cells expressing FastFUCCI. a, FUCCI simulation for a single, synchronized colony with 4 cells. At given time point, all in will either be green or not. b, simulating multiple gives rise to multimodal distributions cell percentage colonies. c, adding phase shift parameter allows each out sync, producing percentages other than 0% 100% observation point. d, by modifying parameters, various frequency can obtained...