94,138 research outputs found

    Cloning and characterization of mink plasminogen activator inhibitor type 1 (PAI-1) cDNA and the regulation of mink PAI-1 expression at mRNA level

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    Mink plasminogen activator inhibitor type 1 (PAI-1) is a glycoprotein with molecular weight about 50 kD and is highly regulated in cultured cells. In mink lung CCL64 epithelial cells, epidermal growth factor (EGF), transforming growth factor-[beta] (TGF-[beta]), and 12-O-tetradecanoyl phorbol-13-acetate (TPA) increase the synthesis of PAI-1. Epidermal growth factor and TGF-[beta] synergistically stimulate the synthesis of PAI-1. The synergistic effect and factors which govern the PAI-1 expression in mink lung CCL64 cells were studied by using a mink PAI-1 cDNA as a probe to detect PAI-1 mRNA;The mink PAI-1 cDNA was cloned from a cDNA library constructed from mink lung CCL64 cells. The deduced amino acid sequence of mink PAI-1 contains 400 amino acids. Identities between the mink PAI-1 protein sequence and the sequence of the human, bovine, mouse, and rat PAI-1 proteins are 86%, 87%, 79% and 77%, respectively;The synergistic effect of EGF and TGF-[beta] on PAI-1 induction is due to a combination of transcriptional activation of PAI-1 gene by TGF-[beta] and stabilization of mRNA by EGF. The production of PAI-1 protein increased in parallel with the accumulation of PAI-1 mRNA. However, the synergism was not observed on the transcriptional activity of the PAI-1 gene. This suggested that EGF inhibits the turnover of PAI-1 mRNA. More direct evidence for the effect of EGF on PAI-1 mRNA turnover is that the half-life of PAI-1 mRNA in cells treated with TGF-[beta] is 30 min whereas the half-life of PAI-1 mRNA in cells treated with EGF plus TGF-[beta] is 46 min;In this study, turnover rate of PAI-1 mRNA was found to be an important factor regulating the time course of PAI-1 expression in mink lung CCL64 cells. The time course of accumulation of PAI-1 mRNA showed a parallel profile with the change in the production of PAI-1 protein. The fast decay rate of PAI-1 mRNA is responsible for the rapid increase and decrease in PAI-1 mRNA accumulation which is seen as a brief spurt of production of PAI-1 protein after stimulation by TGF-[beta] or TPA. It is concluded that the regulation of mRNA turnover is important for the regulation PAI-1 expression

    Upregulation of MMP-13 and TIMP-1 expression in response to mechanical strain in MC3T3-E1 osteoblastic cells

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    <p>Abstract</p> <p>Background</p> <p>Mechanical strain plays a significant role in the regulation of bone matrix turnover, which is mediated in part by matrix metalloproteinase (MMP)-13 and tissue inhibitors of matrix metalloproteinase (TIMP)-1. However, little is known about the correlation between mechanical strain and osteoblastic cell activities, including extracellular matrix (ECM) metabolism. Herein, we determined the effect of different magnitudes of cyclic tensile strain (0%, 6%, 12%, and 18%) on MMP-13 and TIMP-1 mRNA and protein expression in MC3T3-E1 osteoblasts. Furthermore, we employed specific inhibitors to examine the role of distinct signal transduction pathways known to mediate cellular responses to mechanical strain.</p> <p>Results</p> <p>We identified a magnitude-dependent increase in MMP-13 and TIMP-1 mRNA and protein levels in response to mechanical strains corresponding to 6%, 12%, and 18% elongation. The strain-induced increases in MMP-13 and TIMP-1 mRNA expression were inhibited by PD098059 and cycloheximide, respectively.</p> <p>Conclusions</p> <p>Our results suggest a mechanism for the regulation of bone matrix metabolism mediated by the differential expression of MMP-13 and TIMP-1 in response to increasing magnitudes of mechanical strain.</p

    Activation of PPARs α, β/δ, and γ Impairs TGF-β1-Induced Collagens' Production and Modulates the TIMP-1/MMPs Balance in Three-Dimensional Cultured Chondrocytes

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    Background and Purpose. We investigated the potency of Peroxisome Proliferators-Activated Receptors (PPARs) α, β/δ, and γ agonists to modulate Transforming Growth Factor-β1 (TGF-β1-) induced collagen production or changes in Tissue Inhibitor of Matrix Metalloproteinase- (TIMP-) 1/Matrix Metalloproteinase (MMP) balance in rat chondrocytes embedded in alginate beads. Experimental Approach. Collagen production was evaluated by quantitative Sirius red staining, while TIMP-1 protein levels and global MMP (-1, -2, -3, -7, and -9) or specific MMP-13 activities were measured by ELISA and fluorigenic assays in culture media, respectively. Levels of mRNA for type II collagen, TIMP-1, and MMP-3 & 13 were quantified by real-time PCR. Key Results. TGF-β1 increased collagen deposition and type II collagen mRNA levels, while inducing TIMP-1 mRNA and protein expression. In contrast, it decreased global MMP or specific MMP-13 activities, while decreasing MMP-3 or MMP-13 mRNA levels. PPAR agonists reduced most of the effects of TGF-β1 on changes in collagen metabolism and TIMP-1/MMP balance in rat in a PPAR-dependent manner, excepted for Wy14643 on MMP activities. Conclusions and Implications. PPAR agonists reduce TGF-β1-modulated ECM turnover and inhibit chondrocyte activities crucial for collagen biosynthesis, and display a different inhibitory profile depending on selectivity for PPAR isotypes

    Loss of The RNA Helicase SKIV2L2 Impairs Mitotic Progression and Replication-Dependent Histone mRNA Turnover in Murine Cell Lines

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    RNA surveillance via the nuclear exosome requires cofactors such as the helicase SKIV2L2 to process and degrade certain noncoding RNAs. This research aimed to characterize the phenotype associated with RNAi knockdown of Skiv2l2 in two murine cancer cell lines: Neuro2A and P19. SKIV2L2 depletion in Neuro2A and P19 cells induced changes in gene expression indicative of cell differentiation and reduced cellular proliferation by 30%. Propidium iodide-based cell-cycle analysis of Skiv2l2 knockdown cells revealed defective progression through the G2/M phase and an accumulation of mitotic cells, suggesting SKIV2L2 contributes to mitotic progression. Since SKIV2L2 targets RNAs to the nuclear exosome for processing and degradation, we identified RNA targets elevated in cells depleted of SKIV2L2 that could account for the observed twofold increase in mitotic cells. Skiv2l2knockdown cells accumulated replication-dependent histone mRNAs, among other RNAs, that could impede mitotic progression and indirectly trigger differentiation

    Perturbation analysis analyzed—mathematical modeling of intact and perturbed gene regulatory circuits for animal development

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    Gene regulatory networks for animal development are the underlying mechanisms controlling cell fate specification and differentiation. The architecture of gene regulatory circuits determines their information processing properties and their developmental function. It is a major task to derive realistic network models from exceedingly advanced high throughput experimental data. Here we use mathematical modeling to study the dynamics of gene regulatory circuits to advance the ability to infer regulatory connections and logic function from experimental data. This study is guided by experimental methodologies that are commonly used to study gene regulatory networks that control cell fate specification. We study the effect of a perturbation of an input on the level of its downstream genes and compare between the cis-regulatory execution of OR and AND logics. Circuits that initiate gene activation and circuits that lock on the expression of genes are analyzed. The model improves our ability to analyze experimental data and construct from it the network topology. The model also illuminates information processing properties of gene regulatory circuits for animal development

    The 5' → 3' exoribonuclease XRN1/Pacman and its functions in cellular processes and development

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    XRN1 is a 5' → 3' processive exoribonuclease that degrades mRNAs after they have been decapped. It is highly conserved in all eukaryotes, including homologs in Drosophila melanogaster (Pacman), Caenorhabditis elegans (XRN1), and Saccharomyces cerevisiae (Xrn1p). As well as being a key enzyme in RNA turnover, XRN1 is involved in nonsense-mediated mRNA decay and degradation of mRNAs after they have been targeted by small interfering RNAs or microRNAs. The crystal structure of XRN1 can explain its processivity and also the selectivity of the enzyme for 5' monophosphorylated RNA. In eukaryotic cells, XRN1 is often found in particles known as processing bodies (P bodies) together with other proteins involved in the 5' → 3' degradation pathway, such as DCP2 and the helicase DHH1 (Me31B). Although XRN1 shows little specificity to particular 5' monophosphorylated RNAs in vitro, mutations in XRN1 in vivo have specific phenotypes suggesting that it specifically degrades a subset of RNAs. In Drosophila, mutations in the gene encoding the XRN1 homolog pacman result in defects in wound healing, epithelial closure and stem cell renewal in testes. We propose a model where specific mRNAs are targeted to XRN1 via specific binding of miRNAs and/or RNA-binding proteins to instability elements within the RNA. These guide the RNA to the 5' core degradation apparatus for controlled degradation

    Solid phase chemistry to covalently and reversibly capture thiolated RNA.

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    Here, we describe an approach to enrich newly transcribed RNAs from primary mouse neurons using 4-thiouridine (s4U) metabolic labeling and solid phase chemistry. This one-step enrichment procedure captures s4U-RNA by using highly efficient methane thiosulfonate (MTS) chemistry in an immobilized format. Like solution-based methods, this solid-phase enrichment can distinguish mature RNAs (mRNA) with differential stability, and can be used to reveal transient RNAs such as enhancer RNAs (eRNAs) and primary microRNAs (pri-miRNAs) from short metabolic labeling. Most importantly, the efficiency of this solid-phase chemistry made possible the first large scale measurements of RNA polymerase II (RNAPII) elongation rates in mouse cortical neurons. Thus, our approach provides the means to study regulation of RNA metabolism in specific tissue contexts as a means to better understand gene expression in vivo
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