Cross-talk between endothelial and breast cancer cells regulates reciprocal expression of angiogenic factors in vitro

Reciprocal growth factor exchange between endothelial and malignant cells within the tumor microenvironment may directly stimulate neovascularization; however, the role of host vasculature in regulating tumor cell activity is not well understood. While previous studies have examined the angiogenic response of endothelial cells to tumor-secreted factors, few have explored tumor response to endothelial cells. Using an in vitro co-culture system, we investigated the influence of endothelial cells on the angiogenic phenotype of breast cancer cells. Specifically, VEGF, ANG1, and ANG2 gene and protein expression were assessed. When co-cultured with microvascular endothelial cells (HMEC-1), breast cancer cells (MDA-MB-231) significantly increased expression of ANG2 mRNA (20-fold relative to MDA-MB-231 monoculture). Moreover, MDA-MB-231/HMEC-1 co-cultures produced significantly increased levels of ANG2 (up to 580 pg/ml) and VEGF protein (up to 38,400 pg/ml) while ANG1 protein expression was decreased relative to MDA-MB-231 monocultures. Thus, the ratio of ANG1:ANG2 protein, a critical indicator of neovascularization, shifted in favor of ANG2, a phenomenon known to correlate with vessel destabilization and sprouting in vivo. This angiogenic response was not observed in nonmalignant breast epithelial cells (MCF-10A), where absolute protein levels of MCF-10A/HMEC-1 co-cultures were an order of magnitude less than that of the MDA-MB-231/HMEC-1 co-cultures. Results were further verified with a functional angiogenesis assay demonstrating well-defined microvascular endothelial cell (TIME) tube formation when cultured in media collected from MDA-MB-231/HMEC-1 co-cultures. This study demonstrates that the angiogenic activity of malignant mammary epithelial cells is significantly enhanced by the presence of endothelial cells.     

Suppression by heat shock protein 20 of hepatocellular carcinoma cell proliferation via inhibition of the mitogen‐activated protein kinases and AKT pathways

Heat shock protein (HSP) 20, one of the low‐molecular weight HSPs, is known to have versatile functions, such as vasorelaxation. However, its precise role in cancer proliferation remains to be elucidated. While HSP20 is constitutively expressed in various tissues including the liver, we have previously reported that HSP20 protein levels in human hepatocellular carcinoma (HCC) cells inversely correlate with the progression of HCC. In this study, we investigated the role of HSP20 in HCC proliferation. The activities of extracellular signal‐regulated kinase (ERK), c‐jun N‐terminal kinase (JNK), and AKT were negatively correlated with the HSP20 protein levels in human HCC tissues. Since HSP20 proteins were hardly detected in HCC‐derived cell lines, the effects of HSP20 expression were evaluated using human HCC‐derived HuH7 cells that were stably transfected with wild‐type human HSP20 (HSP20 overexpressing cells). In HSP20 overexpressing cells, cell proliferation was retarded, and the activation of the mitogen‐activated protein kinases (MAPKs) signaling pathways, including the ERK and JNK, and AKT pathways, as well as cyclin D1 accumulation induced by either transforming growth factor‐α (TGFα) or hepatocyte growth factor, were significantly suppressed compared with the empty vector‐transfected cells (control cells). Taken together, our findings strongly suggest that HSP20 suppresses the growth of HCC cells via the MAPKs and AKT signaling pathways, thus suggesting that the HSP20 could be a new therapeutic target for HCC. J. Cell. Biochem. 112: 3430–3439, 2011. © 2011 Wiley Periodicals, Inc.     

Purification and Characterization of the Cholinesterase of Pseudomonas aeruginosa A-16

The Cholinesterase of Pseudomonas aeruginosa A–16 was purified approximately 11,150-fold with an overall recovery of 15.2% and proved to be homogeneous by electrophoresis, ultracentrifugation and chromatography. The molecular weight of the enzyme was determined as approximately 30,000 by equilibrium centrifugation and gel filtration methods. The sedimentation coefficient, S_20,w was determined to be 3.3 S. Isoelectric focusing electrophoresis with carrier ampholite revealed that the enzyme had an isoelectric point around pH 8.1.

The purified Cholinesterase, which was considered to be an acetylcholinesterase from its substrate specificity, hydrolyzed acetylthiocholine and acetylcholine at the highest rates among the various esters tested.

The estimated values of Km at pH 7.5 and 25°C were 1.5 × 10^?4 m for acetylthiocholine and 1.9 × 10^?4 m for acetylcholine. The enzyme also hydrolyzed the acetyl and propionyl esters of several aliphatic and aromatic alcohols at a lower rate which was entirely dependent on the properties of the alcohol moiety of those esters.     

The release of glutamate from cortical neurons regulated by BDNF via the TrkB/Src/PLC‐γ1 pathway

The brain‐derived neurotrophic factor (BDNF) participates in the regulation of cortical neurons by influencing the release of glutamate. However, the specific mechanisms are unclear. Hence, we isolated and cultured the cortical neurons of Sprague Dawley rats. Specific inhibitors of TrkB, Src, PLC‐γ1, Akt, and MEK1/2 (i.e., K252a, PP2, U73122, LY294002, and PD98059, respectively) were used to treat cortical neurons and to detect the glutamate release from cortical neurons stimulated with BDNF. BDNF significantly increased glutamate release, and simultaneously enhanced phosphorylation levels of TrkB, Src, PLC‐γ, Akt, and Erk1/2. For BDNF‐stimulated cortical neurons, K252a inhibited glutamate release and inhibited the phosphorylation levels of TrkB, Src, PLC‐γ, Erk1/2, and Akt (P < 0.05). PP2 reduced the glutamate release from BDNF‐stimulated cortical neurons (P < 0.05) and inhibited the phosphorylation levels of TrkB and PLC‐γ1 (P < 0.05). However, PP2 had no effect on the phosphorylation levels of Erk1/2 or Akt (P > 0.05). U73122 inhibited the glutamate release from BDNF‐stimulated cortical neurons, but had no influence on the phosphorylation levels of TrkB, Src, Erk1/2, or Akt (P > 0.05). LY294002 and PD98059 did not affect the BDNF‐stimulated glutamate release and did not inhibit the phosphorylation levels of TrkB, Src, or PLC‐γ1. In summary, BDNF stimulated the glutamate release from cortical neurons via the TrkB/Src/PLC‐γ1 signaling pathway. J. Cell. Biochem. 114: 144–151, 2012. © 2012 Wiley Periodicals, Inc.     

Platelet‐derived growth factor‐BB accelerates prostate cancer growth by promoting the proliferation of mesenchymal stem cells

Mesenchymal stem cells (MSCs) favor cancer growth by facilitating immunosuppression status in tumor microenvironment. However, the function and mechanism of MSCs in initiating and developing prostate cancer remains to be fully understood. In this study, we first found that MSCs promoted prostate cancer (PCa) tumor growth in vivo and cell proliferation in vitro by using PCs cell strain RM‐1. Both exogenous and endogenous MSCs could be recruited into the tumor microenvironment by using bone‐marrow transplantation model. We further demonstrated that PDGF‐BB produced by RM‐1 cell promoted MSCs proliferation in vivo and in vitro, which was abrogated by Si‐RNA specific to PDGF‐BB. And inflammatory cytokines, such as interferon gamma, tumor necrosis factor alpha, and anti‐inflammatory cytokine transformation growth factor alpha, further increased the ability of RM‐1 to produce PDGF‐BB. Overall, PCa cells produced PDGF‐BB favors the proliferation of MSCs, which may elicit immunosuppressive function and enable PCa cells to escape from the immunity surveillance in tumor inflammatory microenvironment. J. Cell. Biochem. 114: 1510–1518, 2013. © 2013 Wiley Periodicals, Inc.     

Prediction of Candidate Primary Immunodeficiency Disease Genes Using a Support Vector Machine Learning Approach

Screening and early identification of primary immunodeficiency disease (PID) genes is a major challenge for physicians. Many resources have catalogued molecular alterations in known PID genes along with their associated clinical and immunological phenotypes. However, these resources do not assist in identifying candidate PID genes. We have recently developed a platform designated Resource of Asian PDIs, which hosts information pertaining to molecular alterations, protein–protein interaction networks, mouse studies and microarray gene expression profiling of all known PID genes. Using this resource as a discovery tool, we describe the development of an algorithm for prediction of candidate PID genes. Using a support vector machine learning approach, we have predicted 1442 candidate PID genes using 69 binary features of 148 known PID genes and 3162 non-PID genes as a training data set. The power of this approach is illustrated by the fact that six of the predicted genes have recently been experimentally confirmed to be PID genes. The remaining genes in this predicted data set represent attractive candidates for testing in patients where the etiology cannot be ascribed to any of the known PID genes.