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Biomedical subjects

Sheng Zhong

Publications and source records attributed to Sheng Zhong.

At least 19 recordsLinked to original sources

Epigenomic profiling reveals novel and frequent targets of aberrant DNA methylation-mediated silencing in malignant glioma.

Malignant glioma is the most common central nervous system tumor of adults and is associated with a significant degree of morbidity and mortality. Gliomas are highly invasive and respond poorly to conventional treatments. Gliomas, like other tumor types, arise from a complex and poorly understood sequence of genetic and epigenetic alterations. Epigenetic alterations leading to gene silencing, in the form of aberrant CpG island promoter hypermethylation and histone deacetylation, have not been thoroughly investigated in brain tumors, and elucidating such changes is likely to enhance our understanding of their etiology and provide new treatment options. We used a combined approach of pharmacologic inhibition of DNA methylation and histone deacetylation, coupled with expression microarrays, to identify novel targets of epigenetic silencing in glioma cell lines. From this analysis, we identified >160 genes up-regulated by 5-aza-2'-deoxycytidine and trichostatin A treatment. Further characterization of 10 of these genes, including the putative metastasis suppressor CST6, the apoptosis-inducer BIK, and TSPYL5, whose function is unknown, revealed that they are frequent targets of epigenetic silencing in glioma cell lines and primary tumors and suppress glioma cell growth in culture. Furthermore, we show that other members of the TSPYL gene family are epigenetically silenced in gliomas and dissect the contribution of individual DNA methyltransferases to the aberrant promoter hypermethylation events. These studies, therefore, lay the foundation for a comprehensive understanding of the full extent of epigenetic changes in gliomas and how they may be exploited for therapeutic purposes.

Azacitidine↗

Effects of hindlimb unweighting and aging on rat semimembranosus muscle and myosin.

We tested the hypothesis that lower specific force (force/cross-sectional area) generated by type II fibers from hindlimb-unweighted rats resulted from structural changes in myosin (i.e., a change in the ratio of myosin cross bridges in the weak- and strong-binding state during contraction). In addition, we determined whether those changes were age dependent. Permeabilized semimembranosus muscle fibers from young adult and aged rats, some of which were hindlimb unweighted for 3 wk, were studied for Ca(2+)-activated force generation and maximal unloaded shortening velocity. Fibers were also spin labeled specifically at myosin Cys707 to assess the structural distribution of myosin during maximal isometric contraction using electron paramagnetic resonance spectroscopy. Myosin heavy chain isoform (MHC) expression and the ratio of MHC to actin were evaluated in each fiber. Fibers from the unweighted rats generated 34% less specific force than fibers from weight-bearing rats (P < 0.001), independent of age. Electron paramagnetic resonance analyses showed that the fraction of myosin heads in the strong-binding structural state during contraction was 11% lower in fibers from the unweighted rats (P = 0.019), independent of age. More fibers from unweighted rats coexpressed MHC IIB-IIX compared with fibers from weight-bearing rats (P = 0.049). Unweighting induced a slowing of maximal unloaded shortening velocity and an increase in the ratio of MHC to actin in fibers from young rats only. These data indicate that altered myosin structural distribution during contraction and a preferential loss of actin contribute to unweighting-induced muscle weakness. Furthermore, the age of the rat has an influence on some parameters of changes in muscle contractility that are induced by unweighting.

Adaptation, Physiological↗

Inactivation of Wnt inhibitory factor-1 (WIF1) expression by epigenetic silencing is a common event in breast cancer.

The Wnt signaling pathway is a powerful and prominent oncogenic mechanism dysregulated in numerous cancer types. While evidence from transgenic mouse models and studies of human tumors clearly indicate that this pathway is of likely importance in human breast cancer, few clues as to the exact molecular nature of Wnt dysregulation have been uncovered in this tumor type. Here, we show that the Wnt inhibitory factor-1 (WIF1) gene, which encodes a secreted protein antagonistic to Wnt-dependent signaling, is targeted for epigenetic silencing in human breast cancer. We show that cultured human breast tumor cell lines display absent or low levels of WIF1 expression that are increased when cells are cultured with the DNA demethylating agent 5-aza-2'-deoxycytidine. Furthermore, the WIF1 promoter is aberrantly hypermethylated in these cells as judged by both methylation-specific PCR and bisulfite genomic sequencing. Using a panel of patient-matched breast tumors and normal breast tissue, we show that WIF1 expression is commonly diminished in breast tumors when compared with normal tissue and that this correlates with WIF1 promoter hypermethylation. Analysis of a panel of 24 primary breast tumors determined that the WIF1 promoter is aberrantly methylated in 67% of these tumors, indicating that epigenetic silencing of this gene is a frequent event in human breast cancer. Using an isogenic panel of cell lines proficient or deficient in the DNA methyltransferases (DNMTs) DNMT1 and/or DNMT3B, we show that hypermethylation of the WIF1 promoter is attributable to the cooperative activity of both DNMT1 and DNMT3B. Our findings establish the WIF1 gene as a target for epigenetic silencing in breast cancer and provide a mechanistic link between the dysregulation of Wnt signaling and breast tumorigenesis.

Adaptor Proteins, Signal Transducing↗

Reliable prediction of transcription factor binding sites by phylogenetic verification.

We present a statistical methodology that largely improves the accuracy in computational predictions of transcription factor (TF) binding sites in eukaryote genomes. This method models the cross-species conservation of binding sites without relying on accurate sequence alignment. It can be coupled with any motif-finding algorithm that searches for overrepresented sequence motifs in individual species and can increase the accuracy of the coupled motif-finding algorithm. Because this method is capable of accurately detecting TF binding sites, it also enhances our ability to predict the cis-regulatory modules. We applied this method on the published chromatin immunoprecipitation (ChIP)-chip data in Saccharomyces cerevisiae and found that its sensitivity and specificity are 9% and 14% higher than those of two recent methods. We also recovered almost all of the previously verified TF binding sites and made predictions on the cis-regulatory elements that govern the tight regulation of ribosomal protein genes in 13 eukaryote species (2 plants, 4 yeasts, 2 worms, 2 insects, and 3 mammals). These results give insights to the transcriptional regulation in eukaryotic organisms.

Base Sequence↗

mSin3A corepressor regulates diverse transcriptional networks governing normal and neoplastic growth and survival.

mSin3A is a core component of a large multiprotein corepressor complex with associated histone deacetylase (HDAC) enzymatic activity. Physical interactions of mSin3A with many sequence-specific transcription factors has linked the mSin3A corepressor complex to the regulation of diverse signaling pathways and associated biological processes. To dissect the complex nature of mSin3A's actions, we monitored the impact of conditional mSin3A deletion on the developmental, cell biological, and transcriptional levels. mSin3A was shown to play an essential role in early embryonic development and in the proliferation and survival of primary, immortalized, and transformed cells. Genetic and biochemical analyses established a role for mSin3A/HDAC in p53 deacetylation and activation, although genetic deletion of p53 was not sufficient to attenuate the mSin3A null cell lethal phenotype. Consistent with mSin3A's broad biological activities beyond regulation of the p53 pathway, time-course gene expression profiling following mSin3A deletion revealed deregulation of genes involved in cell cycle regulation, DNA replication, DNA repair, apoptosis, chromatin modifications, and mitochondrial metabolism. Computational analysis of the mSin3A transcriptome using a knowledge-based database revealed several nodal points through which mSin3A influences gene expression, including the Myc-Mad, E2F, and p53 transcriptional networks. Further validation of these nodes derived from in silico promoter analysis showing enrichment for Myc-Mad, E2F, and p53 cis-regulatory elements in regulatory regions of up-regulated genes following mSin3A depletion. Significantly, in silico promoter analyses also revealed specific cis-regulatory elements binding the transcriptional activator Stat and the ISWI ATP-dependent nucleosome remodeling factor Falz, thereby expanding further the mSin3A network of regulatory factors. Together, these integrated genetic, biochemical, and computational studies demonstrate the involvement of mSin3A in the regulation of diverse pathways governing many aspects of normal and neoplastic growth and survival and provide an experimental framework for the analysis of essential genes with diverse biological functions.

Animals↗

Structural changes of purple membrane and bacteriorhodopsin during its denaturation induced by high pH.

Bacteriorhodopsin (bR) trimers naturally form two-dimensional hexagonal crystals in purple membrane (PM), which make it very stable. However, the dnaturation of bR was found to occur during a very narrow pH range when the pH was increased above 12.0, as indicated by inactivation of the photochemical cycle observed by flash photolysis kinetic spectra. Here, atomic force microscopy was used to study the surface structural changes of PM during the denaturation process induced by high pH. Together with the absorption and fluorescence spectra, it was found that the structural changes could be divided into three steps. First, some hydrophobic amino acids of bR become exposed to the aqueous environment and PM loses its 2D crystalline structure, transforming into the so-called "nonisland" structure. Second, bR molecules are extracted out of membrane and form protrusions on the surface like islands in the sea; therefore, the "nonisland" structure transforms into the "island" structure. Finally, most bRs break off from the membrane and form large depositions.

Bacteriorhodopsins↗

A small-molecule inhibitor of Mps1 blocks the spindle-checkpoint response to a lack of tension on mitotic chromosomes.

The spindle checkpoint prevents chromosome loss by preventing chromosome segregation in cells with improperly attached chromosomes [1, 2 and 3]. The checkpoint senses defects in the attachment of chromosomes to the mitotic spindle [4] and the tension exerted on chromosomes by spindle forces in mitosis [5, 6 and 7]. Because many cancers have defects in chromosome segregation, this checkpoint may be required for survival of tumor cells and may be a target for chemotherapy. We performed a phenotype-based chemical-genetic screen in budding yeast and identified an inhibitor of the spindle checkpoint, called cincreasin. We used a genome-wide collection of yeast gene-deletion strains and traditional genetic and biochemical analysis to show that the target of cincreasin is Mps1, a protein kinase required for checkpoint function [8]. Despite the requirement for Mps1 for sensing both the lack of microtubule attachment and tension at kinetochores, we find concentrations of cincreasin that selectively inhibit the tension-sensitive branch of the spindle checkpoint. At these concentrations, cincreasin causes lethal chromosome missegregation in mutants that display chromosomal instability. Our results demonstrate that Mps1 can be exploited as a target and that inhibiting the tension-sensitive branch of the spindle checkpoint may be a way of selectively killing cancer cells that display chromosomal instability.

Bromobenzenes↗

Construction of eukaryotic expression vector of human CC10 gene and expression of CC10 protein in lung adenocarcinoma A549 cell line.

A mammalian expression plasmid pcDNA3. 1-hCC10 was constructed and identified, then CC10 protein expression in A549 lung cancer cell line was detected. A 273 bp cDNA fragment was amplified from the total RNA of normal lung tissue by using RT-PCR and cloned into expression plasmid cDNA3. 1, and the recombinant plasmid was identified by employing double digestion restriction enzymes Hind III and BamH I and the cDNA sequence was assayed by the Sanger dideoxy-mediated chain termination method. The segment was then transfected into the A549 lung cancer cell line. The protein expression of CC10 was detected by immunofluorescence and Western blot. Our results showed that the cDNA fragment included the entire coding region (273 bp). The recombinant eukaryotic cell expression vector of pcDNA3. 1-hCC10 was successfully constructed, and the sequence of the insert was identical to the published sequence. A549 cells line transfected with the pcDNA3. 1-hCC10 expressed high level of CC10 protein. The recombinant plasmid cDNA3. 1-hCC10 may serve as an effective tool for the study of tumorogenesis and tumor treatment.

Adenocarcinoma↗

High frequency of promoter hypermethylation of RASSF1A in tumorous and non-tumourous tissue of breast cancer.

AIM: To determine the presence of RASSF1A promoter methylation in tumorous and non-tumorous tissues of breast cancer. METHODS: Methylation-specific PCR was used to detect RASSF1A methylation in DNA extracted from tumorous and paired non-tumorous tissues of 40 breast cancer patients. The associations of RASSF1A hypermethylation with clinicopathological characteristics in tumorous and non-tumorous breast tissues were analysed. RESULTS: RASSF1A promoter hypermethylation was detected in 38 of the 40 breast cancer tissues (95%) and 37 of the paired non-tumorous tissues (92.5%). When compared with the non-tumorous tissues, aberrant methylation was detected to be higher in 24 of the tumorous tissues (60%). The latter was found to be associated with lower histological grade tumours (p=0.048). CONCLUSION: RASSF1A promoter hypermethylation occurred at a high frequency in breast cancer tumorous and non-tumorous tissues; the majority of tumours have a higher level of methylation status when compared with non-tumorous tissues. This supports the notion that RASSF1A methylation is an early and premalignant alteration.

Adenocarcinoma↗

High frequency of promoter hypermethylation of RASSF1A in tumor and plasma of patients with hepatocellular carcinoma.

PURPOSE: To determine the presence of ras association domain family 1A (RASSF1A) promoter methylation in the tumor tissues and plasma of patients with hepatocellular carcinoma (HCC). EXPERIMENTAL DESIGN: Methylation-specific polymerase chain reaction was used to detect RASSF1A methylation in DNA extracted from HCC tumors and paired plasma samples of 40 patients. The association of RASSF1A hypermethylation in tumor and plasma DNA of HCC patients with clinicopathological characteristics was also analyzed. RESULTS: RASSF1A promoter hypermethylation was detected in 37 of the 40 HCC tissues (92.5%). Of the paired plasma from the 40 HCC patients, aberrant methylation was detected in 17 (42.5%). No RASSF1A methylation was detected in the plasma in the absence of methylation in the corresponding tumor. The presence of RASSF1A promoter hypermethylation in plasma DNA was found to associate with HCC size of > or =4 cm (P = 0.035). CONCLUSION: RASSF1A promoter hypermethylation occurred at a high frequency in HCC. The aberrant methylation was also detectable in over 40% of matched plasma. The latter should be evaluated as a screening tool and/or prognosticator of HCC patients.

Base Sequence↗

Lamivudine for the prevention of hepatitis B virus reactivation in hepatitis B s-antigen seropositive cancer patients undergoing cytotoxic chemotherapy.

PURPOSE: For cancer patients receiving cytotoxic chemotherapy, hepatitis B virus (HBV) reactivation is a well described complication resulting in varying degrees of liver damage. The objectives of this study were to assess the efficacy of the antiviral agent lamivudine in reducing the incidence of HBV reactivation and diminishing morbidity and mortality of cancer patients with chronic HBV infection during chemotherapy. PATIENTS AND METHODS: Two groups were compared in this nonrandomized study. The prophylactic lamivudine group consisted of 65 patients in a phase II study who were treated with lamivudine before and until 8 weeks after discontinuing chemotherapy. The historical controls consisted of 193 consecutive patients who underwent chemotherapy without prophylactic lamivudine. Significant prognosticators for the development of HBV reactivation were determined based on data from the controls. Potential confounding factors were identified between the two groups. The outcomes were compared. RESULTS: In the controls, lymphoma and anthracycline usage were factors identified to be associated with reactivation. The two groups were comparable in most baseline characteristics, although in the prophylactic lamivudine group, there were significantly more patients with lymphoma and receiving anthracyclines. In the prophylactic lamivudine group, there was significantly less HBV reactivation (4.6% v 24.4% in the controls; P <.001), fewer incidences of hepatitis (17.5% v 44.6%; P <.0001) that were less severe (4.8% v 18.7%; P =.0005), and less disruption of chemotherapy (15.4% v 34.6%; P =.0029). The reduction in overall mortality was not statistically different. CONCLUSION: Prophylactic lamivudine significantly reduced the incidence of HBV reactivation and the overall morbidity of cancer patients undergoing chemotherapy.

Adult↗

Spontaneous formation of periodic nanostructured film by electrodeposition: Experimental observations and modeling.

In this paper we report the spontaneous formation of a nanostructured film by electrodeposition from an ultrathin electrolyte layer of CuSO4. The film consists of straight periodic ditches and ridges, which corresponds to the alternating deposition of nanocrystallites of copper and copper plus cuprous oxide, respectively. The periodicity on the film may vary from 100 nm to a few hundred nanometers depending on the experimental conditions. In the formation of the periodically nanostructured film, oscillating voltage/current has been observed across the electrodes, and the frequency depends on the pH of the electrolyte and the applied current/voltage. A model based on the coupling of [Cu2+] and [H+] in the electrodeposition is proposed to describe the oscillatory phenomena in our system. The calculated results are in agreement with the experimental observations.

Journal Article↗

Comparative analysis of gene sets in the Gene Ontology space under the multiple hypothesis testing framework.

The Gene Ontology (GO) resource can be used as a powerful tool to uncover the properties shared among, and specific to, a list of genes produced by high-throughput functional genomics studies, such as microarray studies. In the comparative analysis of several gene lists, researchers maybe interested in knowing which GO terms are enriched in one list of genes but relatively depleted in another. Statistical tests such as Fisher's exact test or Chi-square test can be performed to search for such GO terms. However, because multiple GO terms are tested simultaneously, individual p-values from individual tests do not serve as good indicators for picking GO terms. Furthermore, these multiple tests are highly correlated, usual multiple testing procedures that work under an independence assumption are not applicable. In this paper we introduce a procedure, based on False Discovery Rate (FDR), to treat this correlated multiple testing problem. This procedure calculates a moderately conserved estimator of q-value for every GO term. We identify the GO terms with q-values that satisfy a desired level as the significant GO terms. This procedure has been implemented into the GoSurfer software. GoSurfer is a windows based graphical data mining tool. It is freely available at http://www.gosurfer.org.

Algorithms↗

GoSurfer: a graphical interactive tool for comparative analysis of large gene sets in Gene Ontology space.

UNLABELLED: The analysis of complex patterns of gene regulation is central to understanding the biology of cells, tissues and organisms. Patterns of gene regulation pertaining to specific biological processes can be revealed by a variety of experimental strategies, particularly microarrays and other highly parallel methods, which generate large datasets linking many genes. Although methods for detecting gene expression have improved substantially in recent years, understanding the physiological implications of complex patterns in gene expression data is a major challenge. This article presents GoSurfer, an easy-to-use graphical exploration tool with built-in statistical features that allow a rapid assessment of the biological functions represented in large gene sets. GoSurfer takes one or two list(s) of gene identifiers (Affymetrix probe set ID) as input and retrieves all the Gene Ontology (GO) terms associated with the input genes. GoSurfer visualises these GO terms in a hierarchical tree format. With GoSurfer, users can perform statistical tests to search for the GO terms that are enriched in the annotations of the input genes. These GO terms can be highlighted on the GO tree. Users can manipulate the GO tree in various ways and interactively query the genes associated with any GO term. The user-generated graphics can be saved as graphics files, and all the GO information related to the input genes can be exported as text files. AVAILABILITY: GoSurfer is a Windows-based program freely available for noncommercial use and can be downloaded at http://www.gosurfer.org. Datasets used to construct the trees shown in the figures in this article are available at http://www.gosurfer.org/download/GoSurfer.zip.

Computer Graphics↗

Intensive hypermethylation of the CpG island of Ras association domain family 1A in hepatitis B virus-associated hepatocellular carcinomas.

PURPOSE AND EXPERIMENTAL DESIGN: The human Ras association domain family 1A gene (RASSF1A) is a newly isolated tumor suppressor gene. In this study, we analyzed the methylation status of the promoter region of RASSF1A using bisulfite sequencing and PCR-RFLP in four liver cancer cell lines (Hep3B, HepG(2), SK-HEP-1, and Huh-7) and a cohort of 43 hepatitis B virus-associated hepatocellular carcinoma (HCC) tissues and their corresponding nontumor tissue specimens. RESULTS: The methylation of the CpG islands in the RASSF1A promoter was not detected in 4 samples of normal liver tissue or 10 samples of peripheral blood mononuclear cells from normal subjects. However, the CpG islands were completely methylated, and transcription of the RASSF1A was silenced in the four cell lines. Treatment with the DNA methylation inhibitor 5-aza-2'-deoxycytidine reactivated the expression of RASSF1A in the Hep3B and HepG2 cells. In 41 of 43 (95%) HCC specimens studied, the promoter region of RASSF1A was intensively methylated at its CpG sites. Although heterogeneous methylation was also detected in 16 of the 23 (70%) corresponding nontumorous tissues analyzed, the level of methylation was significantly lower than in the corresponding tumor tissues. CONCLUSIONS: HCC has the highest incidence of promoter methylation of RASSF1A among all malignancies yet reported suggesting that hypermethylation of the CpG island promoter of RASSF1A may play an important pathological role in this tumor.

Adult↗

ChipInfo: Software for extracting gene annotation and gene ontology information for microarray analysis.

To date, assembling comprehensive annotation information for all probe sets of any Affymetrix microarrays remains a time-consuming, error-prone and challenging task. ChipInfo is designed for retrieving annotation information from online databases such as NetAffx and Gene Ontology and organizing such information into easily interpretable tabular format outputs. As companion software to dChip and GoSurfer, ChipInfo enables users to independently update the information resource files of these software packages. It also has functions for computing related summary statistics of probe sets and Gene Ontology terms. ChipInfo is available at http://biosun1.harvard.edu/complab/chipinfo/.

DNA Probes↗

Formation of nanostructured copper filaments in electrochemical deposition.

In this paper, we report in detail the studies of a different self-organized copper electrodeposition carried out in an ultrathin layer of CuSO4 electrolyte. On a macroscopic scale, the morphology of the electrodeposit is fingerlike. Microscopically, each fingering branch consists of long, straight copper filaments with periodic corrugated nanostructures. Branching rate of the electrodeposit is significantly decreased, compared with the patterns grown in conventional systems. Detailed information of the growth environment in the ultrathin electrodeposition system is provided, the formation mechanism of the periodic nanostructures on the deposit filaments is explored, and the origin of the significant descent of branching rate of the electrodeposit is discussed.

Journal Article↗