An epigenetic auto-feedback loop regulates TGF-β type II receptor expression and function in NSCLC.

The downregulation of transforming growth factor-β (TGF-β) type II receptor (TβRII) expression and function plays a pivotal role in the loss of the TGF-β-induced tumor suppressor function that contributes to lung cancer progression. The aberrant expression of miRNAs has been shown to be involved in the regulation of oncogenes and tumor suppressor genes. Our current study involving miRNA microarray, northern blot and QRT-PCR analysis shows an inverse correlation between miR-20a and TβRII expression in non-small cell lung cancer (NSCLC) tissues and cell lines.

Elucidating the mechanism of regulation of transforming growth factor β Type II receptor expression in human lung cancer cell lines.

Lung carcinogenesis in humans involves an accumulation of genetic and epigenetic changes that lead to alterations in normal lung epithelium, to in situ carcinoma, and finally to invasive and metastatic cancers. The loss of transforming growth factor β (TGF-β)-induced tumor suppressor function in tumors plays a pivotal role in this process, and our previous studies have shown that resistance to TGF-β in lung cancers occurs mostly through the loss of TGF-β type II receptor expression (TβRII). However, little is known about the mechanism of down-regulation of TβRII and how histone deacetylase (HDAC) inhibitors (HDIs) can restore TGF-β-induced tumor suppressor function.

S-phase-coupled apoptosis in tumor suppression.

DNA replication is essential for accurate transmission of genomic information from parental to daughter cells. DNA replication is licensed once per cell division cycle. This process is highly regulated by both positive and negative regulators.

Linear dynamic range for signal detection in fluorescent differential display.

We have determined the linear dynamic range in signal detection by Fluorescent Differential Display (FDD) using conditionally induced mRNA expression of the p53 tumor-suppressor gene as a control. By serial spiking of p53-induced RNA into that of non-induced RNA, we were able to quantitatively measure up to 100-fold change in p53 mRNA expression level. The linear dynamic range of signal detection per mRNA message was determined to be from 1000 up to 20,000 in fluorescence signal, in which the signals for the majority of mRNAs reside.

Proof-reading signal accuracy of gene expression by binary differential display.

Differential display (DD) is commonly used for identifying differentially expressed genes. However, each cDNA species identified by DD must be verified so a "real difference" can be differentiated from false positives. Although Northern blot analysis is the gold standard it is labor intensive, time-consuming and requires a significant amount of RNA.

Antimetastatic role of Smad4 signaling in colorectal cancer.

Background & Aims: Transforming growth factor (TGF)-beta signaling occurs through Smads 2/3/4, which translocate to the nucleus to regulate transcription; TGF-beta has tumor-suppressive effects in some tumor models and pro-metastatic effects in others. In patients with colorectal cancer (CRC), mutations or reduced levels of Smad4 have been correlated with reduced survival. However, the function of Smad signaling and the effects of TGF-beta-receptor kinase inhibitors have not been analyzed during CRC metastasis.

Automated fluorescent differential display for cancer gene profiling.

Since its invention in 1992, differential display (DD) has become the most commonly used technique for identifying differentially expressed genes because of its many advantages over competing technologies such as DNA microarray, serial analysis of gene expression (SAGE), and subtractive hybridization. A large number of these publications have been in the field of cancer, specifically on p53 target genes. Despite the great impact of the method on biomedical research, there had been a lack of automation of DD technology to increase its throughput and accuracy for systematic gene expression analysis.

Lipopolysaccharide-dependent interaction between PU.1 and c-Jun determines production of lipocalin-type prostaglandin D synthase and prostaglandin D2 in macrophages.

Previously, we reported that expression of lipocalin-prostaglandin D synthase (L-PGDS) is inducible in macrophages and protects from Pseudomonas pneumonia. Here, we investigated the mechanism by which L-PGDS gene expression is induced in macrophages. A promoter analysis of the murine L-PGDS promoter located a binding site of PU.

Killin is a p53-regulated nuclear inhibitor of DNA synthesis.

Cell growth arrest and apoptosis are two best-known biological functions of tumor-suppressor p53. However, genetic evidence indicates that not only is p21 the major mediator of G(1) arrest, but also it can prevent apoptosis with an unknown mechanism. Here, we report the discovery of a p53 target gene dubbed killin, which lies in close proximity to pten on human chromosome 10 and encodes a 20-kDa nuclear protein.

CYFIP2, a direct p53 target, is leptomycin-B sensitive.

A number of target genes for the tumor suppressor, p53, have been identified, however, the mechanisms that contribute to p53-dependent apoptosis remain to be fully elucidated. In a comprehensive screen for p53 target genes, we have identified Cytoplasmic FMR Interacting Protein 2 (CYFIP2) as a p53-inducible gene. Here we show that the CYFIP2 promoter contains a p53-responsive element that confers p53 binding as well as transcriptional activation of a heterologous reporter.

TIS11D is a candidate pro-apoptotic p53 target gene.

A number of target genes for the tumor suppressor, p53, have been identified, however, the mechanisms that contribute to p53-dependent apoptosis remain to be fully elucidated. In a comprehensive screen for p53 target genes by differential display, we have identified TIS11D as a p53-inducible gene. Induction of TIS11D mRNA was confirmed by Northern Blot in response to p53 expression.

Saturation screening for p53 target genes by digital fluorescent differential display.

Differential display (DD) is one of the most commonly used approaches for identifying differentially expressed genes. Despite the great impact of the method on biomedical research, there has been a lack of automation of DD technology to increase its throughput and accuracy for a systematic gene expression analysis. Most of previous DD work has taken a "shotgun" approach of identifying one gene at a time, with limited polymerase chain reaction (PCR) reactions set up manually, giving DD a low-technology and low-throughput image.

Automation of fluorescent differential display with digital readout.

Since its invention in 1992, differential display (DD) has become the most commonly used technique for identifying differentially expressed genes because of its many advantages over competing technologies such as DNA microarray, serial analysis of gene expression (SAGE), and subtractive hybridization. Despite the great impact of the method on biomedical research, there has been a lack of automation of DD technology to increase its throughput and accuracy for systematic gene expression analysis. Most of previous DD work has taken a "shot-gun" approach of identifying one gene at a time, with a limited number of polymerase chain reaction (PCR) reactions set up manually, giving DD a low-tech and low-throughput image.

Identification of p53 target genes by fluorescent differential display.

Differential display (DD) is a method used worldwide for identifying differentially expressed genes in eukaryotic cells. The mRNA DD technology works by systematic amplification of the 3' terminal regions of mRNAs. Using anchored primers designed to bind 5' boundary of the polyA tails for reverse transcription, followed by polymerase chain reaction (PCR) amplification with additional upstream primers of arbitrary sequences, mRNA subpopulations are separated by denaturing polyacrylamide electrophoresis.

Systematic analysis of intrinsic factors affecting differential display.

Differential display (DD) is a widely used method for identifying differentially expressed genes. To improve further the efficiency and reproducibility of the method, this report systematically examines four critical parameters of standard DD-PCR. Specifically, the study determined the optimal annealing temperature, elongation time, dNTP concentration, and arbitrary primer concentration.