A5079448519- Cell Image Analysis Techniques
- RNA Interference and Gene Delivery
- Diet and metabolism studies
- Nanoparticle-Based Drug Delivery
- Advanced Fluorescence Microscopy Techniques
- Lipid Membrane Structure and Behavior
- Single-cell and spatial transcriptomics
- Nutrition and Health in Aging
- Cell Adhesion Molecules Research
- RNA Research and Splicing
- Metabolomics and Mass Spectrometry Studies
- Ureteral procedures and complications
- AI in cancer detection
- Radiomics and Machine Learning in Medical Imaging
- Bladder and Urothelial Cancer Treatments
- Wound Healing and Treatments
- Image Processing Techniques and Applications
- Inhalation and Respiratory Drug Delivery
- Advanced Electron Microscopy Techniques and Applications
- Microplastics and Plastic Pollution
- Nanoparticles: synthesis and applications
- Nanoplatforms for cancer theranostics
- Advancements in Transdermal Drug Delivery
- Cell death mechanisms and regulation
- Scientific Computing and Data Management
Universidade Estadual de Campinas (UNICAMP)
2019-2024
Broad Institute
2022-2024
Abstract Image‐based profiling quantitatively assesses the effects of perturbations on cells by capturing a breadth changes via microscopy. Here, we provide two complementary protocols to help explore and interpret data from image‐based experiments. In first protocol, examine similarity among perturbed cell samples using compounds that cluster their mechanisms action. The protocol includes steps feature‐driving differences between visualize correlations features treatments create...
pH-sensitive liposomes are interesting carriers for drug-delivery, undertaking rapid bilayer destabilization in response to pH changes, allied tumor accumulation, a desirable behavior the treatment of cancer cells. Previously, we have shown that accumulate tissues mice, which an acidic environment accelerates drug delivery. Ultimately, these formulations can be internalized by cells and take endosome-lysosomal route. However, mechanism doxorubicin release intracellular traffic remains...
CellProfiler is a widely used software for creating reproducible, reusable image analysis workflows without needing to code. In addition the >90 modules that make up main program, has plugins system allows creation of new which integrate with other Python tools or are packaged in containers. The CellProfiler-plugins repository contains number these modules, especially experimental and/or dependency-heavy. Here, we present an upgraded repository, example accessing containerised tools,...
Nanotechnology applications in biomedicine have increased recent decades, primarily as therapeutic agents, drugs, and gene delivery systems. Among the nanoparticles used medicine, we highlight cationic solid lipid (SLN). Given their nontoxic properties, much research has focused on beneficial effects of SLN for drug or system. However, little attention been paid to adverse impacts cellular environment, particularly influence intracellular signaling pathways. In this work, investigate...
Background: Cancer-cachexia induces a variety of metabolic disorders, including skeletal muscle imbalance. Alternative therapy, as nutritional supplementation with leucine, shows modulatory effect over tumour damage in vivo and vitro. Method: Adult rats distributed into Control (C), Walker tumour-bearing (W), control fed leucine-rich diet (L), (WL) groups had the gastrocnemius metabolomic proteomic assays performed parallel to vitro assays. Results: W group presented an affected profile...
Image acquisition has greatly benefited from the automation of microscopes and been followed by an increasing amount complexity data acquired. Here, we present PyScratch, a new tool for processing spatial temporal information scratch assays. PyScratch is open-source software implemented in Python that analyses migration area automated fashion. The was developed Python. Wound healing assays were used to validate its performance. images acquired using Cytation 5™ during 60 h. Data analyzed...
Solid lipid nanoparticles (SLN) are widely recognized for their biocompatibility, scalability, and long-term stability, making them versatile formulations drug gene delivery. Cellular interactions, governed by complex endocytic signaling pathways, pivotal successfully applying SLN as a therapeutic agent. This study aims to enhance our understanding of the intricate interplay between cells investigating influence specific cell with focus on impact TGF-
Image-based profiling has been used to analyze cell health, drug mechanism of action, CRISPR-edited cells, and overall cytotoxicity. Cell Painting is a broadly image-based assay that uses morphological features capture how cells respond treatments. However, this method requires fixation for staining, which prevents examining live cells. To address limitation, here we present Live (LCP), high-content based on Acridine orange, metachromatic dye labels different organelles cellular structures....
CellProfiler is a widely used software for creating reproducible, reusable image analysis workflows without needing to code. In addition the >90 modules that make up main program, has plugins system allows creation of new which integrate with other Python tools or are packaged in containers. The CellProfiler-plugins repository contains number these modules, especially experimental and/or dependency-heavy. Here, we present an upgraded repository, example accessing containerized tools,...
The authors wish to add the following statement in Acknowledgements section of this paper [...]