http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Automated genome-wide visual profiling of cellular proteins involved in HIV infection.
Genovesio, Auguste,Kwon, Yong-Jun,Windisch, Marc P,Kim, Nam Youl,Choi, Seo Yeon,Kim, Hi Chul,Jung, Sungyong,Mammano, Fabrizio,Perrin, Virginie,Boese, Annette S,Casartelli, Nicoletta,Schwartz, Olivier Mary Ann Liebert, Inc 2011 Journal of biomolecular screening Vol.16 No.9
<P>Recent genome-wide RNAi screens have identified >842 human genes that affect the human immunodeficiency virus (HIV) cycle. The list of genes implicated in infection differs between screens, and there is minimal overlap. A reason for this variance is the interdependence of HIV infection and host cell function, producing a multitude of indirect or pleiotropic cellular effects affecting the viral infection during RNAi screening. To overcome this, the authors devised a 15-dimensional phenotypic profile to define the viral infection block induced by CD4 silencing in HeLa cells. They demonstrate that this phenotypic profile excludes nonspecific, RNAi-based side effects and viral replication defects mediated by silencing of housekeeping genes. To achieve statistical robustness, the authors used automatically annotated RNAi arrays for seven independent genome-wide RNAi screens. This identified 56 host genes, which reliably reproduced CD4-like phenotypes upon HIV infection. The factors include 11 known HIV interactors and 45 factors previously not associated with HIV infection. As proof of concept, the authors confirmed that silencing of PAK1, Ku70, and RNAseH2A impaired HIV replication in Jurkat cells. In summary, multidimensional, visual profiling can identify genes required for HIV infection.</P>
Quantitative four-dimensional tracking of cytoplasmic and nuclear HIV-1 complexes
Arhel, Nathalie,Genovesio, Auguste,Kim, Kyeong-Ae,Miko, Sarah,Perret, Emmanuelle,Olivo-Marin, Jean-Christophe,Shorte, Spencer,Charneau, Pierre Nature Publishing Group 2006 Nature methods Vol.3 No.10
Emerging real-time techniques for imaging viral infections provide powerful tools for understanding the dynamics of virus-host cell interactions. Here we labeled human immunodeficiency virus-1 (HIV-1) integrase with a small tetracysteine tag, which preserved the virus' infectivity while allowing it to be labeled with the bis-arsenical fluorescein derivative FlAsH. This labeling allowed us to image both intracytoplasmic and intranuclear HIV-1 complexes in three dimensions over time (4D) in human cells and enabled us to analyze HIV-1 kinetics by automated 4D quantitative particle tracking. In the cytoplasm, HIV-1 complexes underwent directed movements toward the nuclear compartment, kinetically characteristic of both microtubule- and actin-dependent transport. The complexes then adopted smaller movements in a very confined volume once associated with the nuclear membrane and more diffuse movements once inside the nucleus. This work contributes new insight into the various movements of HIV-1 complexes within infected cells and provides a useful tool for the study of virus-host cell interactions during infection.
A fast, fully automated cell segmentation algorithm for high-throughput and high-content screening
Fenistein, D.,Lenseigne, B.,Christophe, T.,Brodin, P.,Genovesio, A. Wiley Subscription Services, Inc., A Wiley Company 2008 Cytometry. the journal of the International Societ Vol.a73 No.10
<P>High-throughput, high-content screening (HT-HCS) of large compound libraries for drug discovery imposes new constraints on image analysis algorithms. Time and robustness are paramount while accuracy is intrinsically statistical. In this article, a fast and fully automated algorithm for cell segmentation is proposed. The algorithm is based on a strong attachment to the data that provide robustness and have been validated on the HT-HCS of large compound libraries and different biological assays. We present the algorithm and its performance, a description of its advantages and limitations, and a discussion of its range of application. © 2008 International Society for Advancement of Cytometry</P>
DUSCH, E.,DORVAL, T.,VINCENT, N.,WACHSMUTH, M.,GENOVESIO, A. Blackwell Publishing Ltd 2007 Journal of microscopy Vol.228 No.2
<P>Summary</P><P>Point Spread Function (PSF) modelling is an important task in image formation analysis. In confocal microscopy, the exact PSF is rarely known, thus one has to rely on its approximation. An initial estimation is usually performed experimentally by measuring fluorescent beads or analytically by studying properties of the optical system. Yet, fluorescent line-scanning confocal microscopes are not widespread; therefore, very few adapted models are available in the literature. In this paper, we propose an analytical PSF model for line-scanning confocal microscopes. Validation is performed by measuring the error between our model and an experimental PSF measured with fluorescent beads, assumed to represent the real PSF. Comparison with existing models is also presented.</P>