32 research outputs found
Heparin and Liver Heparan Sulfate Can Rescue Hepatoma Cells from Topotecan Action
Topotecan (TpT) is a major inhibitory compound of topoisomerase (topo) I that plays important roles in gene transcription and cell division. We have previously reported that heparin and heparan sulfate (HS) might be transported to the cell nucleus and they can interact with topoisomerase I. We hypothesized that heparin and HS might interfere with the action of TpT. To test this hypothesis we isolated topoisomerase I containing cell nuclear protein fractions from normal liver, liver cancer tissues, and hepatoma cell lines. The enzymatic activity of these extracts was measured in the presence of heparin, liver HS, and liver cancer HS. In addition, topo I activity, cell viability, and apoptosis of HepG2 and Hep3B cells were investigated after heparin and TpT treatments. Liver cancer HS inhibited topo I activity in vitro. Heparin treatment abrogated topo I enzyme activity in Hep3B cells, but not in HepG2 cells, where the basal activity was higher. Heparin protected the two hepatoma cell lines from TpT actions and decreased the rate of TpT induced S phase block and cell death. These results suggest that heparin and HS might interfere with the function of TpT in liver and liver cancer
Identification of HN-1-Peptide Target in Head and Neck Squamous Cell Carcinoma Cells
The HN-1 module was previously reported to ensure efficient targeting of head and neck squamous cell carcinoma (HNSCC). Aim of this work was to indentify the target of HN-1. Targeting of HN-1 peptide was compared in normal epithelial cells (BEAS-2B) and in HNSCC tumor cells (SCC-25 and Detroit 562). Experimental, cell culture, cell polarity, and adhesion conditions were tested; structure models of peptides were created. Indeed, HN-1 was able to target HNSCC tumor cells in the previously published conditions. The targeting efficiency of immortalized normal epithelial cells was significantly lower. Nevertheless, in other experimental conditions the binding was less efficient and not specific. A scrambled sequence of HN-1, with altered order of amino acids showed even better targeting efficiency than HN-1. HN-1 was only uptaken in adherent cells, not in suspension. In conclusion, HN-1-peptide-targeting is not based on sequence specificity, but more on electrostatic interactions with the cell surface of the tumor cells
an immunohistochemical study
Background The roles of the neurotrophins NGF (Neurotrophic growth factor) and
BDNF (brain-derived neurotrophic factor) in neuronal growth and development
are already known. Meanwhile, the neurotrophin receptors TrkA (tropomyosin
related kinase A), TrkB, and p75 are important for determining the fate of
cells. In endometriosis, this complex system has not been fully elucidated
yet. The aim of this study was to evaluate the expression and location of
these neurotrophins and their receptors in peritoneal (PE) and deep
infiltrating endometriotic (DIE) tissues and to measure and compare the
density of nerve fibers in the disease subtypes. Methods PE lesions (n = 20)
and DIE lesions (n = 22) were immunostained and analyzed on serial slides with
anti-BDNF, −NGF, −TrkA, −TrkB, −p75,-protein gene product 9.5 (PGP9.5, intact
nerve fibers) and -tyrosine hydroxylase (TH, sympathetic nerve fibers)
antibodies. Result There was an equally high percentage (greater than 75 %) of
BDNF-positive immunostaining cells in both PE and DIE. TrkB (major BDNF
receptor) and p75 showed a higher percentage of immunostaining cells in DIE
compared to in PE in stroma only (p < 0.014, p < 0.027, respectively). Both
gland and stroma of DIE lesions had a lower percentage of NGF-positive
immunostaining cells compared to those in PE lesions (p < 0.01 and p < 0.01,
respectively), but there was no significant reduction in immunostaining of
TrkA in DIE lesions. There was no difference in the mean density of nerve
fibers stained with PGP9.5 between PE (26.27 ± 17.32) and DIE (28.19 ± 33.15,
p = 0.8). When we performed sub-group analysis, the density of nerves was
significantly higher in the bowel DIE (mean 57.33 ± 43.9) than in PE (mean
26.27 ± 17.32, p < 0.01) and non-bowel DIE (mean 14.6. ± 8.6 p < 0.002).
Conclusions While the neurotrophin BDNF is equally present in PE and DIE, its
receptors TrkB and p75 are more highly expressed in DIE and may have a
potential role in the pathophysiology of DIE, especially in promotion of cell
growth. BDNF has a stronger binding affinity than NGF to the p75 receptor,
likely inducing sympathetic nerve axonal pruning in DIE, resulting in the
lower nerve fiber density seen
Localization of TrkB and p75 receptors in peritoneal and deep infiltrating endometriosis: an immunohistochemical study
Altered regulation of Prox1-gene-expression in liver tumors
This is an Open Access article distributed under the terms of the Creative Commons Attribution Licens
Different physiology of interferon-α/-γ in models of liver regeneration in the rat
Liver regeneration may take place after liver injury through replication of hepatocytes or hepatic progenitor cells called oval cells. Interferons (IFN) are natural cytokines with pleiotrophic effects including antiviral and antiproliferative actions. No data are yet available on the physiology and cellular source of natural IFNs during liver regeneration. To address this issue, we have analyzed the levels and biologic activities of IFN-α/IFN-γ in two models of partial hepatectomy. After 2/3rd partial hepatectomy (PH), hepatic levels of IFN-α and IFN-γ declined transiently in contrast to a transient increase of the IFN-γ serum level. After administration of 2-acetylaminofluorene and partial hepatectomy (AAF/PH model), however, both IFN-α and IFN-γ expression were up-regulated in regenerating livers. Again, the IFN-γ serum level was transiently increased. Whereas hepatic IFN-γ was up-regulated early (day 1–5), but not significantly, in the AAF/PH model, IFN-α was significantly up-regulated at later time points in parallel to the peak of oval cell proliferation (days 7–9). Biological activity of IFN-α was shown by activation of IFN-α-specific signal transduction and induction of IFN-α specific-gene expression. We found a significant infiltration of the liver with inflammatory monocyte-like mononuclear phagocytes (MNP) concomitant to the frequency of oval cells. We localized IFN-α production only in MNPs, but not in oval cells. These events were not observed in normal liver regeneration after standard PH. We conclude that IFN-γ functions as an acute-phase cytokine in both models of liver regeneration and may constitute a systemic component of liver regeneration. IFN-α was increased only in the AAF/PH model, and was associated with proliferation of oval cells. However, oval cells seem not to be the source of IFN-α. Instead, inflammatory MNP infiltrating AAF/PH-treated livers produce IFN-α. These inflammatory MNPs may be involved in the regulation of the oval cell compartment through local expression of cytokines, including IFN-α
Characterization and avoidance of in-field defects in solid-state image sensors
As solid-state image sensors become ubiquitous in sensing, control and photography products, their long-term reliability becomes paramount. This thesis experimentally examines the nature of in-field faults and demonstrates two combined hardware-software approaches for detecting and mitigating them. Characterization experiments found that most tested commercial cameras developed hot pixels that c reate image bright spots and degrade dynamic range. Faults appear spatially point-like and uniformly distributed, and they develop continually over time. Silicon displacement damage, induced by terrestrial cosmic rays, is the likely cause. A fault tolerant active pixel sensor is developed to isolate hot defects to a portion of the pixel, enabling software algorithms to correct the faults without sacrificing dynamic range. Experimentally-emulated hot pixels can be corrected within ±5% error. A new statistical software approach is developed to identify and calibrate stuck and abnormal-sensitivity faults from only regular photographs. Monte Carlo simulations verify the detection accuracy in complex environments
Quantitative Analysis of In-Field Defects in Image Sensor Arrays
is made available as an electronic preprint with permission of the IEEE. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited