Role of the ubiquitin system and tumor viruses in AIDS-related cancer

Tumor viruses are linked to approximately 20% of human malignancies worldwide. This review focuses on examples of human oncogenic viruses that manipulate the ubiquitin system in a subset of viral malignancies; those associated with AIDS. The viruses include Kaposi's sarcoma herpesvirus, Epstein-Barr virus and human papilloma virus, which are causally linked to Kaposi's sarcoma, certain B-cell lymphomas and cervical cancer, respectively. We discuss the molecular mechanisms by which these viruses subvert the ubiquitin system and potential viral targets for anti-cancer therapy from the perspective of this system

Planning and its Relationship to Coding, Achievement, and IQ

Applied Behavioral Studie

Positive Reciprocal Regulation of Ubiquitin C-Terminal Hydrolase L1 and β-Catenin/TCF Signaling

Deubiquitinating enzymes (DUBs) are involved in the regulation of distinct critical cellular processes. Ubiquitin C-terminal Hydrolase L1 (UCH L1) has been linked to several neurological diseases as well as human cancer, but the physiological targets and the regulation of UCH L1 expression in vivo have been largely unexplored. Here we demonstrate that UCH L1 up-regulates β-catenin/TCF signaling: UCH L1 forms endogenous complexes with β-catenin, stabilizes it and up-regulates β-catenin/TCF-dependent transcription. We also show that, reciprocally, β-catenin/TCF signaling up-regulates expression of endogenous UCH L1 mRNA and protein. Moreover, using ChIP assay and direct mutagenesis we identify two TCF4-binding sites on the uch l1 promoter that are involved in this regulation. Since the expression and deubiquitinating activity of UCH L1 are required for its own basic promoter activity, we propose that UCH L1 up-regulates its expression by activation of the oncogenic β-catenin/TCF signaling in transformed cells

PU.1-dependent regulation of UCH L1 expression in B-lymphoma cells

Elevated levels of ubiquitin C-terminal hydrolase L1 (UCH L1) have been detected in a variety of malignancies, and recent studies show the oncogenic capacity of overexpressed UCH L1 in vivo in animal models. Here we demonstrate that expression of endogenous UCH L1 is significantly higher in B-lymphoma cells than in transformed cells of epithelial and fibroblastic origin. The specific hematopoietic transcription factor PU.1 induces UCH L1 expression through direct activation of the uch l1 promoter. Using chromatin immunoprecipitation (ChIP) assays and direct mutagenesis we identified PU.1 binding sites on the uch l1 promoter, at least three of which are involved in this activation. We also show that the viral transcriptional co-activator EBNA2 dramatically increases PU.1-dependent up-regulation of endogenous UCH L1 expression. Finally, inhibition of PU.1 expression with specific shRNA resulted in reduction of UCH L1 mRNA and protein levels in Epstein–Barr virus (EBV)-transformed B-cells. We propose that the ubiquitin-editing enzyme UCH L1 is a multifunctional pro-oncogenic factor involved in development and progression of certain lymphoid malignancies, including EBV-associated lymphomas

Ubiquitin editing enzyme UCH L1 and microtubule dynamics: Implication in mitosis

Microtubules are essential components of the cytoskeleton and are involved in many aspects of cell responses including cell division, migration, and intracellular signal transduction. Among other factors, post-translational modifications play a significant role in the regulation of microtubule dynamics. Here, we demonstrate that the ubiquitin-editing enzyme UCH L1, abundant expression of which is normally restricted to brain tissue, is also a part of the microtubule network in a variety of transformed cells. Moreover, during mitosis, endogenous UCH L1 is expressed and tightly associated with the mitotic spindle through all stages of M phase, suggesting that UCH L1 is involved in regulation of microtubule dynamics. Indeed, addition of recombinant UCH L1 to the reaction of tubulin polymerization in vitro had an inhibitory effect on microtubule formation. Unexpectedly, western blot analysis of tubulin fractions after polymerization revealed the presence of a specific ∼50 kDa band of UCH L1 (not the normal ∼25 kDa) in association with microtubules, but not with free tubulin. In addition, we show that along with 25 kDa UCH L1, endogenous high molecular weight UCH L1 complexes exist in cells, and that levels of 50 kDa UCH L1 complexes are increasing in cells during mitosis. Finally, we provide evidence that ubiquitination is involved in tubulin polymerization: the presence of ubiquitin during polymerization in vitro by itself inhibited microtubule formation and enhanced the inhibitory effect of added UCH L1. the inhibitory effects of UCH L1 correlate with an increase in ubiquitination of microtubule components. Since besides being a deubiquitinating enzyme, UCH L1 as a dimer has also been shown to exhibit ubiquitin ligase activity, we discuss the possibility that the ∼50 kDa UCH L1 observed is a dimer which prevents microtubule formation through ubiquitination of tubulins and/or microtubule-associated proteins

Epstein–Barr virus BRLF1 inhibits transcription of IRF3 and IRF7 and suppresses induction of interferon-β

Activation of interferon regulatory factors (IRFs) 3 and 7 is essential for the induction of Type I interferons (IFN) and innate antiviral responses, and herpesviruses have evolved mechanisms to evade such responses. We previously reported that Epstein-Barr Virus BZLF1, an immediate-early (IE) protein, inhibits the function of IRF7, but the role of BRLF1, the other IE transactivator, in IRF regulation has not been examined. We now show that BRLF1 expression decreased induction of IFN-β, and reduced expression of IRF3 and IRF7; effects were dependent on N- and C-terminal regions of BRLF1 and its nuclear localization signal. Endogenous IRF3 and IRF7 RNA and protein levels were also decreased during cytolytic EBV infection. Finally, production of IFN-β was decreased during lytic EBV infection and was associated with increased susceptibility to superinfection with Sendai virus. These data suggest a new role for BRLF1 in the ability of to evade host innate immune responses

Epstein–Barr virus BRLF1 inhibits transcription of IRF3 and IRF7 and suppresses induction of interferon-β

Activation of interferon regulatory factors (IRFs) 3 and 7 is essential for the induction of Type I interferons (IFN) and innate antiviral responses, and herpesviruses have evolved mechanisms to evade such responses. We previously reported that Epstein-Barr Virus BZLF1, an immediate-early (IE) protein, inhibits the function of IRF7, but the role of BRLF1, the other IE transactivator, in IRF regulation has not been examined. We now show that BRLF1 expression decreased induction of IFN-β, and reduced expression of IRF3 and IRF7; effects were dependent on N- and C-terminal regions of BRLF1 and its nuclear localization signal. Endogenous IRF3 and IRF7 RNA and protein levels were also decreased during cytolytic EBV infection. Finally, production of IFN-β was decreased during lytic EBV infection and was associated with increased susceptibility to superinfection with Sendai virus. These data suggest a new role for BRLF1 in the ability of to evade host innate immune responses

KSHV LANA and EBV LMP1 induce the expression of UCH-L1 following viral transformation

Ubiquitin C-terminal Hydrolase L1 (UCH-L1) has oncogenic properties and is highly expressed during malignancies. We recently documented that Epstein-Barr virus (EBV) infection induces uch-l1 expression. Here we show that Kaposi's Sarcoma-associated herpesvirus (KSHV) infection induced UCH-L1 expression, via cooperation of KSHV Latency-Associated Nuclear Antigen (LANA) and RBP-Jκ and activation of the uch-l1 promoter. UCH-L1 expression was also increased in Primary Effusion Lymphoma (PEL) cells co-infected with KSHV and EBV compared with PEL cells infected only with KSHV, suggesting EBV augments the effect of LANA on uch-l1. EBV latent membrane protein 1 (LMP1) is one of the few EBV products expressed in PEL cells. Results showed that LMP1 was sufficient to induce uch-l1 expression, and co-expression of LMP1 and LANA had an additive effect on uch-l1 expression. These results indicate that viral latency products of both human γ-herpesviruses contribute to uch-l1 expression, which may contribute to the progression of lymphoid malignancies

KSHV LANA and EBV LMP1 induce the expression of UCH-L1 following viral transformation

Ubiquitin C-terminal Hydrolase L1 (UCH-L1) has oncogenic properties and is highly expressed during malignancies. We recently documented that Epstein-Barr virus (EBV) infection induces uch-l1 expression. Here we show that Kaposi's Sarcoma-associated herpesvirus (KSHV) infection induced UCH-L1 expression, via cooperation of KSHV Latency-Associated Nuclear Antigen (LANA) and RBP-Jκ and activation of the uch-l1 promoter. UCH-L1 expression was also increased in Primary Effusion Lymphoma (PEL) cells co-infected with KSHV and EBV compared with PEL cells infected only with KSHV, suggesting EBV augments the effect of LANA on uch-l1. EBV latent membrane protein 1 (LMP1) is one of the few EBV products expressed in PEL cells. Results showed that LMP1 was sufficient to induce uch-l1 expression, and co-expression of LMP1 and LANA had an additive effect on uch-l1 expression. These results indicate that viral latency products of both human γ-herpesviruses contribute to uch-l1 expression, which may contribute to the progression of lymphoid malignancies

Comparison of Machine Learning Algorithms for Predictive Modeling of Beef Attributes Using Rapid Evaporative Ionization Mass Spectrometry (REIMS) Data

Ambient mass spectrometry is an analytical approach that enables ionization of molecules under open-air conditions with no sample preparation and very fast sampling times. Rapid evaporative ionization mass spectrometry (REIMS) is a relatively new type of ambient mass spectrometry that has demonstrated applications in both human health and food science. Here, we present an evaluation of REIMS as a tool to generate molecular scale information as an objective measure for the assessment of beef quality attributes. Eight different machine learning algorithms were compared to generate predictive models using REIMS data to classify beef quality attributes based on the United States Department of Agriculture (USDA) quality grade, production background, breed type and muscle tenderness. The results revealed that the optimal machine learning algorithm, as assessed by predictive accuracy, was different depending on the classification problem, suggesting that a “one size fits all” approach to developing predictive models from REIMS data is not appropriate. The highest performing models for each classification achieved prediction accuracies between 81.5–99%, indicating the potential of the approach to complement current methods for classifying quality attributes in beef