Characterization of the human tissue transglutaminase gene promoter

Transglutaminases are a family of calcium-dependent enzymes, that catalyze the covalent cross-linking of proteins by forming $\varepsilon(\gamma$-glutamyl)lysine isopeptide bonds. In order to investigate the molecular mechanisms regulating the expression of the tissue transglutaminase gene and to determine its biological functions, the goal of this research has been to clone and characterize the human tissue transglutaminase promoter. Thirteen clones of the tissue transglutaminase gene were obtained from the screening of a human placental genomic DNA library. A 1.74 Kb fragment derived from DNA located immediately upstream of the translation start site was subcloned and sequenced. Sequence analysis of this DNA fragment revealed that it contains a TATA box (TATAA), a CAAT box (GGACAAT), and a series of potential transcription factor binding sites and hormone response elements. Four regions of significant homology, a GC-rich region, a TG-rich region, an AG-rich region, and HR1, were identified by aligning 1.8 Kb of DNA flanking the human, mouse, and guinea pig tissue transglutaminase genes.^ To measure promoter activity, we subcloned the 1.74 Kb fragment of the tissue transglutaminase gene into a luciferase reporter vector to generate transglutaminase promoter/luciferase reporter constructs. Transfection experiments showed that this DNA segment includes a functional promoter with high constitutive activity. Deletion analysis revealed that the SP1 sites or corresponding sequences contribute to this activity. We investigated the role of DNA methylation in regulating the activity of the promoter and found that in vitro methylation of tissue transglutaminase promoter/luciferase reporter constructs suppressed their basal activity. Methylation of the promoter is inversely correlated with the expression of the tissue transglutaminase gene in vivo. These results suggest that DNA methylation may be one of the mechanisms regulating the expression of the gene. The tumor suppressor gene product p53 was also shown to inhibit the activity of the promoter, suggesting that induction of the tissue transglutaminase gene is not involved in the p53-dependent programmed cell death pathway. Although retinoids regulate the expression of the tissue transglutaminase gene in vivo, retinoid-inducible activity can not be identified in 3.7 Kb of DNA 5$\sp\prime$ to the tissue transglutaminase gene.^ The structure of the 5$\sp\prime$ end of the tissue transglutaminase gene was mapped. Alignment analysis of the human tissue transglutaminase gene with other human transglutaminases showed that tissue transglutaminase is the simplest member of transglutaminase superfamily. Transglutaminase genes show a conserved core of exons and introns but diverse N-terminuses and promoters. These observations suggest that key regulatory sequences and promoter elements have been appended upstream of the core transglutaminase gene to generate the diversity of regulated expression and regulated activity characteristic of the transglutaminase gene family. ^

Expression and Regulation of Human Cytochrome P450 4F Isoforms in Tissue Samples and Under TNF-Alpha Challenges

CYP4F (Cytochrome P4504F) enzymes metabolize endogenous molecules including leukotrienes, prostaglandins and arachidonic acid. The involvement of these endogenous compounds in inflammation has led to the hypothesis that changes in the inflamed tissue environment may affect the expression of CYP4Fs during the pro-inflammatory state, which in turn may modulate inflammatory conditions during the anti-inflammatory state. We demonstrated that inflamed tissues have different levels of CYP4F isoform expression profiles in a number of human samples when compared to the average population. The CYP4F isoform expression levels change with the degree of inflammation present in tissue. Further investigation in cell culture studies revealed that inflammatory cytokines, in particular TNF-α, play a role in regulating the expression of the CYP4F family. One of the isoforms, CYP4F11, had different characteristics than that of the other five CYP4F family members. CYP4F11 metabolizes xenobiotics while the other isoforms metabolize endogenous compounds with higher affinity. CYP4F11 also was expressed at high quantities in the brain, and was up-regulated by TNF-α, while the other isoforms were not expressed at high quantities in the brain and were down-regulated by TNF-α. We identified the AP-1 protein of the JNK pathway as the signaling protein that causes significant increase in CYP4F11 expression. Since TNF-α stimulation causes a simultaneous activation of both JNK pathway and NF-κB signaling, we investigated further the role that NF-κB plays on expression of the CYP4F11 gene. We concluded that although there is a significant increase in CYP4F11 expression in the presence of TNF-α, the activation of NF-κB signaling inhibits CYP4F11 expression in a time dependent manner. The expression of CYP4F11 is only significantly increased after 24 hours of treatment with TNF-α; at shorter time points NF-κB signaling overpowers the JNK pathway activation. We believe that these findings may in the future lead to improved drug design for modulating inflammation.

Identification of the Causative Bacteria in Musculoskeletal Infections Using 16s rDNA - Denaturing Gradient Gel Electrophoresis Analysis

Musculoskeletal infections are infections of the bone and surrounding tissues. They are currently diagnosed based on culture analysis, which is the gold standard for pathogen identification. However, these clinical laboratory methods are frequently inadequate for the identification of the causative agents, because a large percentage (25-50%) of confirmed musculoskeletal infections are false negatives in which no pathogen is identified in culture. My data supports these results. The goal of this project was to use PCR amplification of a portion of the 16S rRNA gene to test an alternative approach for the identification of these pathogens and to assess the diversity of the bacteria involved. The advantages of this alternative method are that it should increase sample sensitivity and the speed of detection. In addition, bacteria that are non-culturable or in low abundance can be detected using this molecular technique. However, a complication of this approach is that the majority of musculoskeletal infections are polymicrobial, which prohibits direct identification from the infected tissue by DNA sequencing of the initial 16S rDNA amplification products. One way to solve this problem is to use denaturing gradient gel electrophoresis (DGGE) to separate the PCR products before DNA sequencing. Denaturing gradient gel electrophoresis (DGGE) separates DNA molecules based on their melting point, which is determined by their DNA sequence. This analytical technique allows a mixture of PCR products of the same length that electrophoreses through agarose gels as one band, to be separated into different bands and then used for DNA sequence analysis. In this way, the DGGE allows for the identification of individual bacterial species in polymicrobial-infected tissue, which is critical for improving clinical outcomes. By combining the 16S rDNA amplification and the DGGE techniques together, an alternative approach for identification has been used. The 16S rRNA gene PCR-DGGE method includes several critical steps: DNA extraction from tissue biopsies, amplification of the bacterial DNA, PCR product separation by DGGE, amplification of the gel-extracted DNA, and DNA sequencing and analysis. Each step of the method was optimized to increase its sensitivity and for rapid detection of the bacteria present in human tissue samples. The limit of detection for the DNA extraction from tissue was at least 20 Staphylococcus aureus cells and the limit of detection for PCR was at least 0.05 pg of template DNA. The conditions for DGGE electrophoreses were optimized by using a double gradient of acrylamide (6 – 10%) and denaturant (30-70%), which increased the separation between distinct PCR products. The use of GelRed (Biotium) improved the DNA visualization in the DGGE gel. To recover the DNA from the DGGE gels the gel slices were excised, shredded in a bead beater, and the DNA was allowed to diffuse into sterile water overnight. The use of primers containing specific linkers allowed the entire amplified PCR product to be sequenced and then analyzed. The optimized 16S rRNA gene PCR-DGGE method was used to analyze 50 tissue biopsy samples chosen randomly from our collection. The results were compared to those of the Memorial Hermann Hospital Clinical Microbiology Laboratory for the same samples. The molecular method was congruent for 10 of the 17 (59%) culture negative tissue samples. In 7 of the 17 (41%) culture negative the molecular method identified a bacterium. The molecular method was congruent with the culture identification for 7 of the 33 (21%) positive cultured tissue samples. However, in 8 of the 33 (24%) the molecular method identified more organisms. In 13 of the 15 (87%) polymicrobial cultured tissue samples the molecular method identified at least one organism that was also identified by culture techniques. Overall, the DGGE analysis of 16S rDNA is an effective method to identify bacteria not identified by culture analysis.

DUAL ENERGY COMPUTED TOMOGRAPHY FOR PROTON THERAPY TREATMENT PLANNING

Proton radiation therapy is gaining popularity because of the unique characteristics of its dose distribution, e.g., high dose-gradient at the distal end of the percentage-depth-dose curve (known as the Bragg peak). The high dose-gradient offers the possibility of delivering high dose to the target while still sparing critical organs distal to the target. However, the high dose-gradient is a double-edged sword: a small shift of the highly conformal high-dose area can cause the target to be substantially under-dosed or the critical organs to be substantially over-dosed. Because of that, large margins are required in treatment planning to ensure adequate dose coverage of the target, which prevents us from realizing the full potential of proton beams. Therefore, it is critical to reduce uncertainties in the proton radiation therapy. One major uncertainty in a proton treatment is the range uncertainty related to the estimation of proton stopping power ratio (SPR) distribution inside a patient. The SPR distribution inside a patient is required to account for tissue heterogeneities when calculating dose distribution inside the patient. In current clinical practice, the SPR distribution inside a patient is estimated from the patient’s treatment planning computed tomography (CT) images based on the CT number-to-SPR calibration curve. The SPR derived from a single CT number carries large uncertainties in the presence of human tissue composition variations, which is the major drawback of the current SPR estimation method. We propose to solve this problem by using dual energy CT (DECT) and hypothesize that the range uncertainty can be reduced by a factor of two from currently used value of 3.5%. A MATLAB program was developed to calculate the electron density ratio (EDR) and effective atomic number (EAN) from two CT measurements of the same object. An empirical relationship was discovered between mean excitation energies and EANs existing in human body tissues. With the MATLAB program and the empirical relationship, a DECT-based method was successfully developed to derive SPRs for human body tissues (the DECT method). The DECT method is more robust against the uncertainties in human tissues compositions than the current single-CT-based method, because the DECT method incorporated both density and elemental composition information in the SPR estimation. Furthermore, we studied practical limitations of the DECT method. We found that the accuracy of the DECT method using conventional kV-kV x-ray pair is susceptible to CT number variations, which compromises the theoretical advantage of the DECT method. Our solution to this problem is to use a different x-ray pair for the DECT. The accuracy of the DECT method using different combinations of x-ray energies, i.e., the kV-kV, kV-MV and MV-MV pair, was compared using the measured imaging uncertainties for each case. The kV-MV DECT was found to be the most robust against CT number variations. In addition, we studied how uncertainties propagate through the DECT calculation, and found general principles of selecting x-ray pairs for the DECT method to minimize its sensitivity to CT number variations. The uncertainties in SPRs estimated using the kV-MV DECT were analyzed further and compared to those using the stoichiometric method. The uncertainties in SPR estimation can be divided into five categories according to their origins: the inherent uncertainty, the DECT modeling uncertainty, the CT imaging uncertainty, the uncertainty in the mean excitation energy, and SPR variation with proton energy. Additionally, human body tissues were divided into three tissue groups – low density (lung) tissues, soft tissues and bone tissues. The uncertainties were estimated separately because their uncertainties were different under each condition. An estimate of the composite range uncertainty (2s) was determined for three tumor sites – prostate, lung, and head-and-neck, by combining the uncertainty estimates of all three tissue groups, weighted by their proportions along typical beam path for each treatment site. In conclusion, the DECT method holds theoretical advantages in estimating SPRs for human tissues over the current single-CT-based method. Using existing imaging techniques, the kV-MV DECT approach was capable of reducing the range uncertainty from the currently used value of 3.5% to 1.9%-2.3%, but it is short to reach our original goal of reducing the range uncertainty by a factor of two. The dominant source of uncertainties in the kV-MV DECT was the uncertainties in CT imaging, especially in MV CT imaging. Further reduction in beam hardening effect, the impact of scatter, out-of-field object etc. would reduce the Hounsfeld Unit variations in CT imaging. The kV-MV DECT still has the potential to reduce the range uncertainty further.

Human placental lactogen enhancer: Tissue specificity and binding with specific proteins

Human placental lactogen (hPL) is a 22,000 dalton protein hormone produced in the placenta. The physiological actions of hPL are not well understood but its major activity is to regulate both maternal and fetal metabolism. hPL stimulates maternal lipolysis increasing free fatty acids in the maternal blood, allowing their use as an energy source by the mother, and sparing glucose for the fetus. It may also act as a growth promoting hormone for the fetus. hPL is produced in increasing amounts as pregnancy progresses. At term, hPL accounts for 10% of protein and 5% of total RNA in the placenta. This high level of hPL production is tissue-specific, as hPL is only produced in the placenta by syncytiotrophoblast cells.^ The objective of this work was to understand the mechanism by which such high levels of hPL are produced in a tissue-specific manner. A transcriptional enhancer found 2.2 kb 3$\sp\prime$ to one of the hPL genes (hPL$\sb3$) may explain the regulation of hPL expression. Transient transfection experiments using the hPL-producing human choriocarcinoma cell line JEG-3 localized the hPL enhancer to a 138 bp core element. This 138 bp sequence was found to be tissue specific in its actions as it did not promote transcription in heterologous cell lines. Gel mobility shift assays showed the hPL enhancer interacts specifically with nuclear proteins unique to hPL-producing cells. Within the 138 bp enhancer a 22 bp region was shown to be protected from DNase I digestion due to binding of proteins derived from placental nuclear extracts. Proteins binding this region of the enhancer may be instrumental in the tissue specific activity of the hPL enhancer. ^

Identification, purification, sequencing and characterization of human lung fibroblast motility -stimulating factor for human soft tissue sarcoma cells

Paracrine motogenic factors, including motility cytokines and extracellular matrix molecules secreted by normal cells, can stimulate metastatic cell invasion. For extracellular matrix molecules, both the intact molecules and the degradative products may exhibit these activities, which in some cases are not shared by the intact molecules. We found that human peritumoral and lung fibroblasts secrete motility-stimulating activity for several recently established human sarcoma cell strains. The motility of lung metastasis-derived human SYN-1 sarcoma cells was preferentially stimulated by human lung and peritumoral fibroblast motility-stimulating factors (FMSFs). FMSFs were nondialyzable, susceptible to trypsin, and sensitive to dithiothreitol. Cycloheximide inhibited accumulation of FMSF activity in conditioned medium; however, addition of cycloheximide to the migration assay did not significantly affect motility-stimulating activity. Purified hepatocyte growth factor/scatter factor (HGF/SF), rabbit anti-hHGF, and RT-PCR analysis of peritumoral and lung fibroblast HGF/SF mRNA expression indicated that FMSF activity was unrelated to HGF/SF. Partial purification of FMSF by gel exclusion chromatography revealed several peaks of activity, suggesting multiple FMSF molecules or complexes.^ We purified the fibroblast motility-stimulating factor from human lung fibroblast-conditioned medium to apparent homogeneity by sequential heparin affinity chromatography and DEAE anion exchange chromatography. Lysylendopeptidase C digestion of FMSF and sequencing of peptides purified by reverse phase HPLC after digestion identified it as an N-terminal fragment of human fibronectin. Purified FMSF stimulated predominantly chemotaxis but chemokinesis as well of SYN-1 sarcoma cells and was chemotactic for a variety of human sarcoma cells, including fibrosarcoma, leiomyosarcoma, liposarcoma, synovial sarcoma and neurofibrosarcoma cells. The motility-stimulating activity present in HLF-CM was completely eliminated by either neutralization or immunodepletion with a rabbit anti-human-fibronectin antibody, thus further confirming that the fibronectin fragment was the FMSF responsible for the motility stimulation of human soft tissue sarcoma cells. Since human soft tissue sarcomas have a distinctive hematogenous metastatic pattern (predominantly lung), FMSF may play a role in this process. ^

Significance of tissue transglutaminase expression in multidrug resistant MCF -7 human breast cancer cells

Tissue transglutaminase (tTGase) is an enzyme that catalyzes the posttranslational modification of proteins via Ca2+-dependent cross-linking reactions. In this study, we extended our earlier observation that tTGase is highly expressed in MCF-7 human breast carcinoma cells selected for the multidrug resistance phenotype (MCF-7/DOX). To directly assess the involvement of tTGase in drug resistance, parental MCF-7 (MCF-7/WT) cells were transfected with cDNAs encoding either a catalytically active (wildtype) or inactive (mutant) tTGase protein. Expression of wildtype tTGase led to spontaneous apoptosis in MCF-7/WT cells, while the mutant tTGase was tolerated by the cells but did not confer resistance to doxorubicin. Analysis of calcium by a spectrofluorometric technique revealed that MCF-7/DOX cells exhibit a defective mechanism in intracellular calcium mobilization, which may play a role in preventing the in situ activation of tTGase and thus allowing the cells to grow despite expressing this enzyme. An elevation in intracellular calcium by treatment with the calcium ionophore A23187 induced rapid and substantial apoptosis in MCF-7/DOX cells as determined by morphological and biochemical criteria. Pretreatment of MCF-7/DOX cells with a tTGase-specific inhibitor (monodansylcadaverine) suppressed A12387-induced apoptosis, suggesting the possible involvement of tTGase-catalyzed protein cross-linking activity. A23187-induced apoptosis in MCF-7/DOX cells was further characterized by PARP cleavage and activation of downstream caspases (-3, -6, and -7). Another interesting aspect of tTGase/A23187-induced apoptosis in MCF-7/DOX cells was that these cells failed to show any prototypic changes associated with the mitochondrial (altered membrane potential, cytochrome c release, caspase-9 activation), receptor-induced (Bid cleavage), or endoplasmic reticulum-stressed (caspase-12 activation) apoptotic pathways. In summary, our data demonstrate that, despite being highly resistant to conventional chemotherapeutic drugs, MCF-7/DOX cells are highly sensitive to apoptosis induced by increased intracellular calcium. We conclude that tTGase does not play a direct role in doxorubicin resistance in MCF-7/DOX cells, but may play a role in enhancing the sensitivity of these cells to undergo apoptosis. ^