A5036169141- Cell Image Analysis Techniques
- Topological and Geometric Data Analysis
- Image Processing Techniques and Applications
- Advanced Fluorescence Microscopy Techniques
- RNA modifications and cancer
- Hand Gesture Recognition Systems
- Scientific Computing and Data Management
- RNA Research and Splicing
- Human Pose and Action Recognition
- Computational Drug Discovery Methods
- AI in cancer detection
- Digital Imaging for Blood Diseases
- Digital Image Processing Techniques
- Hearing Impairment and Communication
- Cancer-related Molecular Pathways
- Video Surveillance and Tracking Methods
- Advanced Breast Cancer Therapies
- Speech and Audio Processing
- Anomaly Detection Techniques and Applications
- Angiogenesis and VEGF in Cancer
- Image Retrieval and Classification Techniques
- Pigment Synthesis and Properties
- DNA Repair Mechanisms
- Extracellular vesicles in disease
- COVID-19 diagnosis using AI
Spanish National Cancer Research Centre
2019-2025
Universidad de La Rioja
2012-2025
Centro de Investigación del Cáncer
2021-2025
Autonomous University of Chihuahua
2021
Universidad Nacional Autónoma de México
2009-2016
There is active crosstalk between tumor cells and the microenvironment during metastatic progression, a process that significantly affected by obesity, particularly in breast cancer. Here we analyze impact of high fat diet (HFD) on metastasis, focusing role platelets formation premetastatic niches (PMNs). We find HFD provokes pre-activation endothelial cells, promoting PMNs lung. These are characterized increased vascular leakiness, platelet activation overexpression fibronectin both cells....
The nucleolus is a membraneless organelle and an excellent stress sensor. Any changes in its architecture or composition lead to nucleolar stress, resulting cell cycle arrest interruption of ribosomal activity, critical factors aging cancer. In this study, we identified described the pivotal role RNA-binding protein (RBP) HNRNPK ribosome dynamics. We developed vitro model endogenous overexpression vivo mouse ubiquitous overexpression. These models showed disruptions translation caused...
Repair of genetic damage is coordinated in the context chromatin, so cells dynamically modulate accessibility at DNA breaks for recruitment response (DDR) factors. The identification chromatin factors with roles DDR has mostly relied on loss-of-function screens while lacking robust high-throughput systems to study repair. In this study, we have developed two that allow repair kinetics and double-strand a 384-well plate format. Using customized gain-of-function open-reading frame library...
The combination of cyclin-dependent kinase 4/6 inhibitors (CDK4/6i) with endocrine therapy (ET) is the standard-of-care for estrogen receptor (ER)-positive, HER2-negative (ER+/HER2- advanced/metastatic breast cancer (mBC). However, impact CDK4/6i on circulating immune cells and tumor (CTCs) in patients receiving ET (CDK4/6i+ET) remains poorly understood. This was a prospective cohort study including 44 ER+/HER2- mBC treated CDK4/6i+ET either first or second line. Peripheral blood samples...
The quantification of synapses is instrumental to measure the evolution synaptic densities neurons under the effect some physiological conditions, neuronal diseases or even drug treatments. However, manual quantification a tedious, error-prone, time-consuming and subjective task; therefore, tools that might automate this process are desirable. In paper, we present SynapCountJ, an ImageJ plugin, that can density individual obtained by immunofluorescence techniques, also can be...
The study of neuronal cell morphology and function in relation to neurological disease processes is high importance for developing suitable drugs therapies. To accelerate discovery, biological experiments this purpose are increasingly scaled up using high-content screening, resulting vast amounts image data. For the analysis these data fully automatic methods needed. first step process detection neuron regions images. In paper we investigate potential two machine-learning based approaches on...
The distribution of any non-conservative variable in the deep open ocean results from circulation and mixing water masses (WMs) contrasting origin initial preformed composition, modified during ongoing simultaneous biological and/or geochemical processes. Estimating contribution WMs composing a sample is useful to trace each mass quantitatively separate physical (mixing) biogeochemical components variability any, non- conservative (e.g., dissolved organic carbon, prokaryote biomass) ocean....
Abstract Micro-devices and lab-on-a-chip technologies have revolutionized cell biology research, enabling a plethora of applications from single-cell sorting to organ-on-a-chip assays. However, their construction remains laborious, requiring specialized equipment trained personnel, thereby restricting accessibility laboratories. The conventional protocol for micro-device printing involves intricate steps, including master cast/mold production device fabrication, leading high costs time...
Automation and reliability are the two main requirements when computers applied in Life Sciences. In this paper we report on an application to neuron recognition, important step our long-term project of providing software systems study neural morphology functionality from biomedical images. Our algorithms have been implemented ImageJ plugin called NeuronPersistentJ, which has validated experimentally. The soundness approach based interpretation processing methods with respect persistent...