84 research outputs found

    The N-Terminal Domain of the Drosophila Retinoblastoma Protein Rbf1 Interacts with ORC and Associates with Chromatin in an E2F Independent Manner

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    The retinoblastoma (Rb) tumor suppressor protein can function as a DNA replication inhibitor as well as a transcription factor. Regulation of DNA replication may occur through interaction of Rb with the origin recognition complex (ORC).We characterized the interaction of Drosophila Rb, Rbf1, with ORC. Using expression of proteins in Drosophila S2 cells, we found that an N-terminal Rbf1 fragment (amino acids 1-345) is sufficient for Rbf1 association with ORC but does not bind to dE2F1. We also found that the C-terminal half of Rbf1 (amino acids 345-845) interacts with ORC. We observed that the amino-terminal domain of Rbf1 localizes to chromatin in vivo and associates with chromosomal regions implicated in replication initiation, including colocalization with Orc2 and acetylated histone H4.Our results suggest that Rbf1 can associate with ORC and chromatin through domains independent of the E2F binding site. We infer that Rbf1 may play a role in regulating replication directly through its association with ORC and/or chromatin factors other than E2F. Our data suggest an important role for retinoblastoma family proteins in cell proliferation and tumor suppression through interaction with the replication initiation machinery

    TRAF4 is a novel phosphoinositide-binding protein modulating tight junctions and favoring cell migration

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    Tumor necrosis factor (TNF) receptor-associated factor 4 (TRAF4) is frequently overexpressed in carcinomas, suggesting a specific role in cancer. Although TRAF4 protein is predominantly found at tight junctions (TJs) in normal mammary epithelial cells (MECs), it accumulates in the cytoplasm of malignant MECs. How TRAF4 is recruited and functions at TJs is unclear. Here we show that TRAF4 possesses a novel phosphoinositide (PIP)-binding domain crucial for its recruitment to TJs. Of interest, this property is shared by the other members of the TRAF protein family. Indeed, the TRAF domain of all TRAF proteins (TRAF1 to TRAF6) is a bona fide PIP-binding domain. Molecular and structural analyses revealed that the TRAF domain of TRAF4 exists as a trimer that binds up to three lipids using basic residues exposed at its surface. Cellular studies indicated that TRAF4 acts as a negative regulator of TJ and increases cell migration. These functions are dependent from its ability to interact with PIPs. Our results suggest that TRAF4 overexpression might contribute to breast cancer progression by destabilizing TJs and favoring cell migration

    FRET microscopy in the living cell: different approaches, strengths and weaknesses.

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    New imaging methodologies in quantitative fluorescence microscopy, such as Förster resonance energy transfer (FRET), have been developed in the last few years and are beginning to be extensively applied to biological problems. FRET is employed for the detection and quantification of protein interactions, and of biochemical activities. Herein, we review the different methods to measure FRET in microscopy, and more importantly, their strengths and weaknesses. In our opinion, fluorescence lifetime imaging microscopy (FLIM) is advantageous for detecting inter-molecular interactions quantitatively, the intensity ratio approach representing a valid and straightforward option for detecting intra-molecular FRET. Promising approaches in single molecule techniques and data analysis for quantitative and fast spatio-temporal protein-protein interaction studies open new avenues for FRET in biological research

    Dual-color fluorescence lifetime correlation spectroscopy to quantify protein-protein interactions in live cell.

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    Dual-color fluorescence correlation spectroscopy is an interesting method to quantify protein interaction in living cells. But, when performing these experiments, one must compensate for a known spectral bleed through artifact that corrupts cross-correlation data. In this article, problems with crosstalk were overcome with an approach based on fluorescence lifetime correlation spectroscopy (FLCS). We show that FLCS applied to dual-color EGFP and mCherry cross-correlation allows the determination of protein-protein interactions in living cells without the need of spectral bleed through calibration. The methodology was validated by using EGFP-mCherry tandem in comparison with coexpressed EGFP and mCherry in live cell. The dual-color FLCS experimental procedure where the different laser intensities do not have to be controlled during experiment is really very helpful to study quantitatively protein interactions in live sample

    Quantitative study of protein-protein interactions in live cell by dual-color fluorescence correlation spectroscopy.

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    Dual-color FCS is a powerful method to monitor protein-protein interactions in living cells. The main idea is based on the cross-correlation analysis of temporal fluorescence intensity fluctuations of two fluorescent proteins to obtain their co-diffusion and relative concentration. But, when performing these experiments, the spectral overlap in the emission of the two colors produces an artifact that corrupts the cross-correlation data: spectral bleed-through. We have shown that problems with cross talk are overcome with Fluorescence Lifetime Correlation Spectroscopy (FLCS). FLCS applied to dual-color cross-correlation, utilizing for example eGFP and mCherry fluorescent proteins, allows the determination of protein-protein interactions in living cells without the need of spectral bleed-through calibration. Here, we present in detail how this methodology can be implemented using a commercial setup (Microtime from PicoQuant, SP8 SMD from Leica or any conventional confocal with PicoQuant TCSPC module, and also with a Becker and Hickl TCSPC module). The dual-color FLCS experimental procedure where the different laser intensities do not have to be controlled during the experiment constitutes a very powerful technique to quantitatively study protein interactions in live samples
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