Human telomerase exists in two distinct active complexes in vivo

金沢大学がん研究所Telomerase, a stable complex of telomerase reverse transcriptase (TERT) and template RNA (TERC), is responsible for telomere maintenance. During purification trials of recombinant human telomerase of the two components reconstituted in insect cells, we identified two complexes of human telomerase of molecular masses 680 and 380 kDa, both of which retain telomerase activity in vitro. We show here that the former complex does not include Hsp90 (heat shock protein 90) and its telomerase activity is resistant to Hsp90 inhibitors, whereas the latter contains Hsp90 and its telomerase activity is sensitive to Hsp90 inhibitors. N-terminal of FLAG-hTERT in the former is exposed, as this complex was efficiently purified with anti-FLAG M2 affinity resin. We also identified two different telomerase complexes in HeLa cells, in addition to ectopically expressed hTERT. Most of endogenous hTERT and FLAG-hTERT was detected around 680 kDa. These two complexes in HeLa cells have the same properties as their respective reconstituted telomerases. The unstable property of the telomerase complex with Hsp90, especially in the presence of Hsp90 inhibitors, was due to proteasome-mediated degradation of hTERT, since proteasome inhibitors prevented hTERT degradation in vivo. To our knowledge, this is the first demonstration of two distinct active complexes of human telomerase ectopically expressed in insect and mammalian cells. © 2007 The Japanese Biochemical Society

Prediction of outcome of patients with oral squamous cell carcinoma using vascular invasion and the strongly positive expression of vascular endothelial growth factors.

Vascular invasion and lymph node metastasis have been used as histopathological prognosticators of cancers including oral squamous cell carcinoma (OSCC). In addition to metastatic potential via blood vessels, tumor-induced angiogenesis might also be associated with prognosis. However, the efficacy of combined evaluation of vascular invasion and angiogenesis-associated molecules for the prognosis of OSCC remains obscure. This is also the case in lymph node metastasis and lymphovasculogenesis-associated molecules. The aim of this study was to examine factors related to prognosis to improve the accuracy of prognostic prediction of OSCC using vasculogenesis-associated markers. Ninety specimens of patients from 1991 to 2002 with previously untreated OSCC, who underwent either biopsy or surgery, were histopathologically and immunohistochemically analyzed using antibodies for vascular endothelial growth factor (VEGF)-A, VEGF-C, cyclooxygenase (COX)-2 and Midkine. The ninety cases were composed of 72 well-differentiated, 12 moderately differentiated and 6 poorly differentiated OSCC. Efficient models of prognostic prediction were evaluated by extensive statistical analyses. The presence of vascular invasion or lymph node metastasis was confirmed to be significantly associated with poor prognosis in the univariate analysis. Multivariate logic regression analysis suggested that patients with the strongly positive expression of either VEGF-A or VEGF-C had a significant association with poor prognosis even in patients without vascular invasion and in early-stage patients. Neither COX-2 nor Midkine contributed to predict the prognosis of the patients. The strongly positive expression of VEGF-A or VEGF-C was suggested to reinforce the histopathological diagnosis of vascular invasion and improve the accuracy and efficacy of prognostic prediction of OSCC

Interferon signaling and hypercytokinemia-related gene expression in the blood of antidepressant non-responders

Only 50% of patients with depression respond to the first antidepressant drug administered. Thus, biomarkers for prediction of antidepressant responses are needed, as predicting which patients will not respond to antidepressants can optimize selection of alternative therapies. We aimed to identify biomarkers that could predict antidepressant responsiveness using a novel data-driven approach based on statistical pattern recognition. We retrospectively divided patients with major depressive disorder into antidepressant responder and non-responder groups. Comprehensive gene expression analysis was performed using peripheral blood without narrowing the genes. We designed a classifier according to our own discrete Bayes decision rule that can handle categorical data. Nineteen genes showed differential expression in the antidepressant non-responder group (n = 15) compared to the antidepressant responder group (n = 15). In the training sample of 30 individuals, eight candidate genes had significantly altered expression according to quantitative real-time polymerase chain reaction. The expression of these genes was examined in an independent test sample of antidepressant responders (n = 22) and non-responders (n = 12). Using the discrete Bayes classifier with the HERC5, IFI6, and IFI44 genes identified in the training set yielded 85% discrimination accuracy for antidepressant responsiveness in the 34 test samples. Pathway analysis of the RNA sequencing data for antidepressant responsiveness identified that hypercytokinemia- and interferon-related genes were increased in non-responders. Disease and biofunction analysis identified changes in genes related to inflammatory and infectious diseases, including coronavirus disease. These results strongly suggest an association between antidepressant responsiveness and inflammation, which may be useful for future treatment strategies for depression

Coincidence analysis to search for inspiraling compact binaries using TAMA300 and LISM data

Japanese laser interferometric gravitational wave detectors, TAMA300 and LISM, performed a coincident observation during 2001. We perform a coincidence analysis to search for inspiraling compact binaries. The length of data used for the coincidence analysis is 275 hours when both TAMA300 and LISM detectors are operated simultaneously. TAMA300 and LISM data are analyzed by matched filtering, and candidates for gravitational wave events are obtained. If there is a true gravitational wave signal, it should appear in both data of detectors with consistent waveforms characterized by masses of stars, amplitude of the signal, the coalescence time and so on. We introduce a set of coincidence conditions of the parameters, and search for coincident events. This procedure reduces the number of fake events considerably, by a factor $\sim 10^{-4}$ compared with the number of fake events in single detector analysis. We find that the number of events after imposing the coincidence conditions is consistent with the number of accidental coincidences produced purely by noise. We thus find no evidence of gravitational wave signals. We obtain an upper limit of 0.046 /hours (CL $= 90$) to the Galactic event rate within 1kpc from the Earth. The method used in this paper can be applied straightforwardly to the case of coincidence observations with more than two detectors with arbitrary arm directions.Comment: 28 pages, 17 figures, Replaced with the version to be published in Physical Review

Results of the search for inspiraling compact star binaries from TAMA300's observation in 2000-2004

We analyze the data of TAMA300 detector to search for gravitational waves from inspiraling compact star binaries with masses of the component stars in the range 1-3Msolar. In this analysis, 2705 hours of data, taken during the years 2000-2004, are used for the event search. We combine the results of different observation runs, and obtained a single upper limit on the rate of the coalescence of compact binaries in our Galaxy of 20 per year at a 90% confidence level. In this upper limit, the effect of various systematic errors such like the uncertainty of the background estimation and the calibration of the detector's sensitivity are included.Comment: 8 pages, 4 Postscript figures, uses revtex4.sty The author list was correcte

Observation results by the TAMA300 detector on gravitational wave bursts from stellar-core collapses

We present data-analysis schemes and results of observations with the TAMA300 gravitational-wave detector, targeting burst signals from stellar-core collapse events. In analyses for burst gravitational waves, the detection and fake-reduction schemes are different from well-investigated ones for a chirp-wave analysis, because precise waveform templates are not available. We used an excess-power filter for the extraction of gravitational-wave candidates, and developed two methods for the reduction of fake events caused by non-stationary noises of the detector. These analysis schemes were applied to real data from the TAMA300 interferometric gravitational wave detector. As a result, fake events were reduced by a factor of about 1000 in the best cases. The resultant event candidates were interpreted from an astronomical viewpoint. We set an upper limit of 2.2x10^3 events/sec on the burst gravitational-wave event rate in our Galaxy with a confidence level of 90%. This work sets a milestone and prospects on the search for burst gravitational waves, by establishing an analysis scheme for the observation data from an interferometric gravitational wave detector