5 results match your criteria: "Center for Applied Medical Research (CIMA)-Universidad de Navarra[Affiliation]"

Article Synopsis
  • - COST (European Cooperation in Science and Technology) funds and coordinates scientific research in Europe, recently supporting the "Genome Editing to treat Human Diseases" (GenE-HumDi) network that connects various stakeholders including pharmaceutical companies and academia.
  • - GenE-HumDi’s main goal is to fast-track the use of genome editing for treating human diseases through organized working groups that improve technologies, assess safety, and create regulatory guidelines.
  • - The initiative aims to standardize practices, share knowledge, and effectively communicate the potential of genome editing to the public, highlighted by their first meeting in March 2023 in Granada, Spain.
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Aged muscles accumulate satellite cells with a striking decline response to damage. Although intrinsic defects in satellite cells themselves are the major contributors to aging-associated stem cell dysfunction, increasing evidence suggests that changes in the muscle-stem cell local microenvironment also contribute to aging. Here, we demonstrate that loss of the matrix metalloproteinase-10 (MMP-10) in young mice alters the composition of the muscle extracellular matrix (ECM), and specifically disrupts the extracellular matrix of the satellite cell niche.

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Several Cre recombinase transgenic mouse models have been generated for cardiac fibroblast (CF) tracking and heart regulation. However, there is still no consensus on the ideal mouse model to optimally identify and/or regulate these cells. Here, a comparative evaluation of the efficiency and specificity of the indirect reporter Cre-loxP system was carried out in three of the most commonly used fibroblast reporter transgenic mice (Pdgfr-CreERT2, Col1a1-CreERT2 and PostnMCM) under healthy and ischemic conditions, to determine their suitability in in vivo studies of cardiac fibrosis.

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Motivation: An important step in the transcriptomic analysis of individual cells involves manually determining the cellular identities. To ease this labor-intensive annotation of cell-types, there has been a growing interest in automated cell annotation, which can be achieved by training classification algorithms on previously annotated datasets. Existing pipelines employ dataset integration methods to remove potential batch effects between source (annotated) and target (unannotated) datasets.

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Background: There is a need for biomarkers of dementia in PD.

Objectives: To determine if the levels of the main CSF proteins and their ratios are associated with deterioration in cognition and progression to dementia in the short to mid term.

Methods: The Parkinson's Progression Markers Initiative database was used as an exploratory cohort, and a center-based cohort was used as a replication cohort.

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