Expression of Master Regulators of Helper T-Cell Differentiation in Peripheral T-Cell Lymphoma, Not Otherwise Specified, by Immunohistochemical Analysis
ABSTRACT The normal counterparts of peripheral T-cell lymphoma, not otherwise specified (PTCL-NOS) have not been accurately identified. We immunohistochemically analyzed 10 PTCL-NOS cases to examine the expression of the master regulators of T-cell differentiation and of surface antigens, including chemokine receptors. All cases were positive for the master regulator of helper T cells (Th-POK) and the marker of effector T cells (CD45RO). Three cases each were positive for T-Bet and GATA3, which are master regulators of helper T cells (T(H) ) type 1 (T(H)1) and 2 (T(H)2), respectively. Two cases were positive for the surface antigens of central memory (Tcm) (CCR7 and CD62L), and 1 case was positive for follicular helper T-cell (TFH) phenotype (BCL6, CXCL13, and PD-1). The remaining case was negative for all markers of effector T(H) subtypes. These results suggest the postulated normal counterparts of PTCL-NOS identified in 9 of the 10 cases consist of T(H)1, T(H)2, TCM, and TFH.
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ABSTRACT: This paper presents an implementation of an adaptive digital filter. The hardware is outlined and the limitations of the design discussed. The effect of rounding on the filter characteristics is described. A method of improving filter performance, when using low adaptive gains, by means of the addition of a dither signal to the coefficient updates is described. Experimental results from the implementation are presented. These results concur with trends predicted by computer simulations, results of which are also included. Potential applications are suggested as are methods for improving the design.Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '82.; 06/1982
Conference Paper: Architecture of a post-OPC silicon verification tool[Show abstract] [Hide abstract]
ABSTRACT: With the wider usages of OPC and PSM technologies in current UDSM IC manufacturing, a new step of verifying the layout modifications is needed. Reasons to employ such a step are discussed in this paper. The architecture of a post-OPC silicon verification tool which has the full capability to accomplish such a verification task is presented in detail. Process modelling and some accelerating algorithms implemented in this tool are detailed as well. Real verification examples are also demonstrated.ASIC, 2003. Proceedings. 5th International Conference on; 11/2003
Article: Digestive and Liver Disease[Show abstract] [Hide abstract]
ABSTRACT: Hepatitis C virus infection frequently leads to chronic hepatitis, possibly evolving to end-stage liver disease and hepatocellular carcinoma. Regulatory T cells can affect antiviral immune response thus influencing the outcome of the disease. To determine numeric and functional distribution of regulatory T cells expressing CD4+CD25hiFoxp3+ (T-regs) during the different stages of hepatitis C virus-related liver disease. 90 hepatitis C viraemic patients and 50 healthy controls were included. Surface and intracellular (Foxp3) T-reg markers were evaluated by flow cytometry. Target cell proliferation and interferon-gamma production were evaluated in 37 HCV patients. In 16 cases intrahepatic distribution of Foxp3 by immuno-histochemistry was assessed. T-regs were increased in hepatitis C virus infected patients and correlated inversely with aminotransferases and directly with MELD score and disease duration. A preserved inhibitory ability of interferon-gamma production was distinctive of patients with normal aminotransferases. Circulating T-regs did not correlate with intrahepatic distribution of Foxp3. In chronic hepatitis C, selective expansion of peripheral T-regs in patients with normal aminotransferases and advanced disease suggests that, though a continual low level inflammation does not prevent liver disease progression, once cirrhosis has developed it may represent an attempt to prevent immuno-mediated decompensation.Digestive and Liver Disease 06/2011; 43(10):807-13. DOI:10.1016/j.dld.2011.04.020 · 2.96 Impact Factor