Irene Palacios

ORCID: 0009-0005-3556-6332
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About
Contact & Profiles
Research Areas
  • Cancer Mechanisms and Therapy
  • Cell Image Analysis Techniques
  • Synthesis and biological activity
  • 3D Printing in Biomedical Research
  • PI3K/AKT/mTOR signaling in cancer
  • Quinazolinone synthesis and applications
  • Computational Drug Discovery Methods
  • Multiple Myeloma Research and Treatments
  • Cancer-related molecular mechanisms research
  • Lung Cancer Treatments and Mutations
  • Synthesis and Characterization of Heterocyclic Compounds
  • Edible Oils Quality and Analysis
  • Liver physiology and pathology
  • Zebrafish Biomedical Research Applications
  • Mechanisms of cancer metastasis
  • Reproductive Health and Technologies
  • Reproductive Biology and Fertility
  • Chronic Lymphocytic Leukemia Research
  • Melanoma and MAPK Pathways
  • Caveolin-1 and cellular processes
  • Signaling Pathways in Disease
  • Protein Kinase Regulation and GTPase Signaling
  • Peptidase Inhibition and Analysis
  • Demographic Trends and Gender Preferences
  • Macrophage Migration Inhibitory Factor

Spanish National Centre for Cardiovascular Research
2018-2021

Spanish National Cancer Research Centre
2010-2012

Toxicity is an important factor in failed drug development, and its efficient identification prediction a major challenge discovery. We have explored the potential of microscopy images fluorescently labeled nuclei for toxicity based on nucleus pattern recognition. Deep learning algorithms obtain abstract representations through automated process, allowing them to efficiently classify complex patterns, become state-of-the art machine computer vision. Here, deep convolutional neural networks...

10.1371/journal.pcbi.1006238 article EN cc-by PLoS Computational Biology 2018-11-30

Abstract Caveolin-1 (CAV1) is over-expressed in prostate cancer (PCa) and associated with adverse prognosis, but the molecular mechanisms linking CAV1 expression to disease progression are poorly understood. Extensive gene correlation analysis, quantitative multiplex imaging of clinical samples, analysis CAV1-dependent transcriptome, supported that re-programmes TGFβ signalling from tumour suppressive oncogenic (i.e. induction SLUG, PAI-1 suppression CDH1, DSP, CDKN1A). Supporting such a...

10.1038/s41598-018-20161-2 article EN cc-by Scientific Reports 2018-01-30

Mitogen-activated protein kinase-interacting kinases 1 and 2 (MNK1 MNK2) phosphorylate the oncogene eIF4E on serine 209. This phosphorylation has been reported to be required for its oncogenic activity. To investigate if pharmacological inhibition of MNK1 could useful treatment cancers, we pursued a comprehensive virtual screening approach rapidly identify tools target validation find optimal starting points plausible medicinal chemistry project. A collection 1236 compounds, selected from...

10.1021/jm1005513 article EN Journal of Medicinal Chemistry 2010-08-19

Abstract Toxicity is an important factor in failed drug development, and its efficient identification prediction a major challenge discovery. We have explored the potential of microscopy images fluorescently labeled nuclei for toxicity based on nucleus pattern recognition. Deep learning algorithms obtain abstract representations through automated process, allowing them to efficiently classify complex patterns, become state-of-the art machine computer vision. Here, deep convolutional neural...

10.1101/334557 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2018-05-30

Zebrafish embryo tumor transplant models are widely utilized in cancer research. Compared with traditional murine models, the small size and transparency of zebrafish embryos combined large clutch sizes that increase statistical power cheap husbandry make them a cost-effective versatile tool for vivo drug discovery. However, lack comprehensive analysis key factors impacting successful use these impedes establishment basic guidelines systematic screening campaigns. Thus, we explored following...

10.3390/cancers13153705 article EN Cancers 2021-07-23

Abstract The PIM family of serine/threonine kinases (PIM-1, 2 and 3) has been originally identified as proviral integration sites involved in lymphomagenesis induced by murine leukemia virus. In almost all the MuLV-induced lymphomas Eμ-Pim-1 transgenic mice either c-MYC or N-MYC is activated insertion. oncogenic properties Pim were shown to encompass their capacity counteract increased sensitivity apoptosis induction that associated with MYC-driven tumorigenesis. Pim-1, 3 are highly...

10.1158/1535-7163.targ-11-b227 article EN Molecular Cancer Therapeutics 2011-11-01

Abstract Proviral integration site for Moloney murine leukemia virus (PIM) kinases are potent oncogens. Pim-1, 2 and 3 highly conserved that have unique structural properties, characterized by a constitutive serine/threonine activity does not depend on post-translational modifications activation. Pim supports in vitro vivo tumor cell growth survival through modification of an increasing number common as well isoform-specific substrates including c-myc Histone H3, which drive transcription,...

10.1158/1535-7163.targ-11-b228 article EN Molecular Cancer Therapeutics 2011-11-01

Abstract The phosphoinositide-3-kinase (PI3K) signaling pathway is activated in a variety of solid and non-solid tumors. In many instances this due to either activating mutations the catalytic subunit PI3Kα, p110α, or inactivating deletions tumor suppressor PTEN. addition, PI3K by certain receptor tyrosine kinases as well mutation oncogene KRAS. All these lesions lead enhanced activity both mTOR. Hence there great interest discover inhibitors mTOR for treatment cancer. Following rational...

10.1158/1538-7445.am2011-627 article EN Cancer Research 2011-04-01
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