2 resultados para Andrews
em Consorci de Serveis Universitaris de Catalunya (CSUC), Spain
Resumo:
Report for the scientific sojourn carried out at the University of St. Andrews, United Kingdom, from November 2007 until January 2008. Therapeutic transgene expression is a valuable strategy to counteract the limitations associated with oncolytic adenoviruses. Late phase expression is desirable to avoid early cell death for proper virus production. In this 3 months-collaboration, we have constructed a late expression system based on ribosome skipping downstream fiber protein and compared it with a splicing-based method of late gene expression. Despite expressing high amounts of the transgene when utilizing the ribosome skipping-system, flow cytomety assays indicate a delayed transgene-expression kinetics compared with the splicing-based one. Furthermore, when using the ribosome skipping system not only fiber protein expression is more altered but also viral production. These results suggest splicing-based expression strategy as a more suitable system for expression of transgenes late in the viral life cycle of an oncolytic adenovirus.
Resumo:
This paper proposes a new time-domain test of a process being I(d), 0 < d = 1, under the null, against the alternative of being I(0) with deterministic components subject to structural breaks at known or unknown dates, with the goal of disentangling the existing identification issue between long-memory and structural breaks. Denoting by AB(t) the different types of structural breaks in the deterministic components of a time series considered by Perron (1989), the test statistic proposed here is based on the t-ratio (or the infimum of a sequence of t-ratios) of the estimated coefficient on yt-1 in an OLS regression of ?dyt on a simple transformation of the above-mentioned deterministic components and yt-1, possibly augmented by a suitable number of lags of ?dyt to account for serial correlation in the error terms. The case where d = 1 coincides with the Perron (1989) or the Zivot and Andrews (1992) approaches if the break date is known or unknown, respectively. The statistic is labelled as the SB-FDF (Structural Break-Fractional Dickey- Fuller) test, since it is based on the same principles as the well-known Dickey-Fuller unit root test. Both its asymptotic behavior and finite sample properties are analyzed, and two empirical applications are provided.