1,720,994 research outputs found
A computational approach to the automatic classification of Mesenchymal vs Epithelial Cancer cell phenotype
No full textAIM: A Computational Tool for the Automatic Quantification of Scratch Wound Healing Assays
Full text linkCell invasiveness quantification is of paramount importance in cancer research and is often evaluated in vitro through scratch wound healing assays that determine the rate at which a population of cells fills a gap created in a confluent 2D culture. The quantification of the results of this experiment, however, lacks standardization and is often highly time consuming and user dependent. To overcome these limitations, we have developed AIM (Automatic Invasiveness Measure), a freely-available software tool for the automatic quantification of the cell-free region in scratch wound healing assays. This study will completely describe AIM and will show its equivalence to three analysis methods commonly used for the quantification of the scratch area and the measure of true wound extension. Furthermore, the analysis time and the dependency of the results of these techniques on the structure of the time course (total duration and number of points) will be studied. To the best of our knowledge, AIM is the first entirely-automated analysis method for scratch wound healing assays and represents a significant improvement of this technique both in terms of results’ quality and reliability
Targeting Chromatin-Mediated Transcriptional Control of Gene Expression in Non-Small Cell Lung Cancer Therapy: Preclinical Rationale and Clinical Results
No full textTargeting chromatin-mediated transcriptional control of gene expression is nowadays considered a promising new strategy, transcending conventional anticancer therapy. As a result, molecules acting as DNA demethylating agents or histone deacetylase inhibitors (HDACi) have entered the clinical arena in the last decade. Given the evidence suggesting that epigenetic regulation is significantly involved in lung cancer development and progression, the potential of epigenetically active compounds to modulate gene expression and reprogram cancer cells to a less aggressive phenotype is, at present, a promising strategy. Accordingly, a large number of compounds that interact with the epigenetic machinery of gene expression regulation are now being developed and tested as potential antitumor agents, either alone or in combination with standard therapy. The preclinical rationale and clinical data concerning the pharmacological modulation of chromatin organization in non-small cell lung cancer (NSCLC) is described in this review. Although preclinical data suggest that a pharmacological treatment targeting the epigenetic machinery has relevant activity over the neoplastic phenotype of NSCLC cells, clinical results are disappointing, leading only to short periods of disease stabilization in NSCLC patients. This evidence calls for a significant rethinking of strategies for an effective epigenetic therapy of NSCLC. The synergistic effect of concurrent epigenetic therapies, use at low doses, the priming of current treatments with previous epigenetic drugs, and the selection of clinical trial populations based on epigenetic biomarkers/signatures appear to be the cornerstones of a mature therapeutic strategy aiming to establish new regimens for reprogramming malignant cells and improving the clinical history of affected patients
Medium Perfusion Flow Improves Osteogenic Commitment of Human Stromal Cells
Full text linkDynamic culture protocols have recently emerged as part of (bone) tissue engineering strategies due to their ability to represent a more physiological cell environment in vitro. Here, we described how a perfusion flow induced by a simple bioreactor system improves proliferation and osteogenic commitment of human bone marrow stromal cells. L88/5 cells were cultured in poly(methyl methacrylate) custom-milled communicating well plates, in the presence of an osteogenic cocktail containing 1α,25-dihydroxyvitamin D3, L-ascorbic acid 2-phosphate, and β-glycerophosphate. The dynamic cell culture was maintained under perfusion flow stimulation at 1 mL/min for up to 4 days and compared with a static control condition. A cell viability assay showed that the proliferation associated with the dynamic cell culture was 20% higher vs. the static condition. A significantly higher upregulation of the osteogenic markers runt-related transcription factor 2 (RUNX2), collagen type I (COL1A1), osteocalcin (BGLAP), alkaline phosphatase (ALPL), and osteopontin (SPP1) was detected when the perfusion flow stimulation was administered to the cells treated with the osteogenic cocktail. An in silico analysis showed that in the dynamic cell culture condition (i) the shear stress in the proximity of the cell layer approximates 10-3 Pa, (ii) the nutrient and the waste product concentration is more homogeneously distributed than in the static counterpart, and (iii) perfusion flow was associated with higher nutrient consumption. In summary, increased cell proliferation and enhanced early phenotype commitment indicate that dynamic cell culture conditions, delivered via bioreactor systems, produce an enhanced in vitro environment for both basic and translational research in tissue engineering and regenerative medicine
Reducing phenotypic variability in Synthetic Biology applications via post-transcriptional control of noise in gene expression
No full textin vitro/ in silico analysis of phenotypic noise under transcriptional and post-transcriptional control in elementary synthetic gene circuits
No full textCigarette smoke- and hypoxia-induced imbalanced vasoactive gene expression in human pulmonary artery smooth muscle cells
No full text
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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