Academic literature on the topic 'FLIM-FRET'
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Journal articles on the topic "FLIM-FRET"
Garsha, Karl. "A Comment on using FLIM with FRET." Microscopy Today 14, no. 3 (May 2006): 52–53. http://dx.doi.org/10.1017/s1551929500057709.
Full textLee, Jiung-De, Ping-Chun Huang, Yi-Cheng Lin, Lung-Sen Kao, Chien-Chang Huang, Fu-Jen Kao, Chung-Chih Lin, and De-Ming Yang. "In-Depth Fluorescence Lifetime Imaging Analysis Revealing SNAP25A-Rabphilin 3A Interactions." Microscopy and Microanalysis 14, no. 6 (November 6, 2008): 507–18. http://dx.doi.org/10.1017/s1431927608080628.
Full textRajoria, Shilpi, Lingling Zhao, Xavier Intes, and Margarida Barroso. "FLIM-FRET for Cancer Applications." Current Molecular Imaging 3, no. 2 (February 4, 2015): 144–61. http://dx.doi.org/10.2174/2211555203666141117221111.
Full textBücherl, Christoph A., Arjen Bader, Adrie H. Westphal, Sergey P. Laptenok, and Jan Willem Borst. "FRET-FLIM applications in plant systems." Protoplasma 251, no. 2 (January 4, 2014): 383–94. http://dx.doi.org/10.1007/s00709-013-0595-7.
Full textWang, Shiqi, Binglin Shen, Sheng Ren, Yihua Zhao, Silu Zhang, Junle Qu, and Liwei Liu. "Implementation and application of FRET–FLIM technology." Journal of Innovative Optical Health Sciences 12, no. 05 (September 2019): 1930010. http://dx.doi.org/10.1142/s1793545819300106.
Full textEllis, Jonathan D., David Llères, Marco Denegri, Angus I. Lamond, and Javier F. Cáceres. "Spatial mapping of splicing factor complexes involved in exon and intron definition." Journal of Cell Biology 181, no. 6 (June 16, 2008): 921–34. http://dx.doi.org/10.1083/jcb.200710051.
Full textLlères, David, John James, Sam Swift, David G. Norman, and Angus I. Lamond. "Quantitative analysis of chromatin compaction in living cells using FLIM–FRET." Journal of Cell Biology 187, no. 4 (November 16, 2009): 481–96. http://dx.doi.org/10.1083/jcb.200907029.
Full textKelly, Douglas J., Sean C. Warren, Dominic Alibhai, Sunil Kumar, Yuriy Alexandrov, Ian Munro, Anca Margineanu, et al. "Automated multiwell fluorescence lifetime imaging for Förster resonance energy transfer assays and high content analysis." Analytical Methods 7, no. 10 (2015): 4071–89. http://dx.doi.org/10.1039/c5ay00244c.
Full textSambrook, Joseph, and David W. Russell. "Probing Protein Interactions Using GFP and FRET Stage 3: FLIM-FRET Measurements." Cold Spring Harbor Protocols 2006, no. 1 (June 2006): pdb.prot3822. http://dx.doi.org/10.1101/pdb.prot3822.
Full textKelleher, M. T., F. Festy, P. R. Barber, C. Gillett, E. Ofo, A. Coolen, S. Pinder, et al. "Use of novel optical proteomics to profile breast cancer patients leading to individualised prognosis and tailored treatment." Journal of Clinical Oncology 27, no. 15_suppl (May 20, 2009): e22090-e22090. http://dx.doi.org/10.1200/jco.2009.27.15_suppl.e22090.
Full textDissertations / Theses on the topic "FLIM-FRET"
Yadav, Rahul B. "Studies of the mTOR signalling pathway using advanced FRET-FLIM technique." Thesis, Oxford Brookes University, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.543796.
Full textWest, Lucien. "Illuminating cAMP dynamics at the synapse with multiphoton FLIM-FRET Imaging." Thesis, Imperial College London, 2016. http://hdl.handle.net/10044/1/43387.
Full textDoll, Franziska [Verfasser]. "Visualizing Protein-Specific Post-Translational Modifications with FLIM-FRET Microscopy / Franziska Doll." Konstanz : KOPS Universität Konstanz, 2018. http://d-nb.info/1223372219/34.
Full textAndrews, Natalie Julia. "Spatio-temporal mapping of protein activity in live zebrafish using FRET FLIM OPT." Thesis, Imperial College London, 2016. http://hdl.handle.net/10044/1/59958.
Full textLoukil, Abdelhalim. "Etude de la cycline A2 : interactions, dégradation et mise en évidence du rôle de l'autophagie." Thesis, Montpellier 2, 2012. http://www.theses.fr/2012MON20115.
Full textThe cell cycle is finely regulated in time and space. We have studied the dynamical aspect of the interactions between cyclin A2 and its partners Cdk1, Cdk2 and ubiquitin during the cell cycle, in human cell lines. To this aim, we have used FRET (Förster/fluorescence resonance energy transfer) and FLIM (fluorescence lifetime imaging microscopy) techniques. We have thus shown that ubiquitylated forms of cyclin A2 are detected predominantly in foci in prometaphase, before spreading throughout the cell. Moreover, we have shown that autophagy contributes to cyclin A2 degradation in mitosis. We discuss the implications of these observations regarding a possible role of cyclin A2 when the cleavage furrow forms, and the participation of autophagy in DNA damage response in mitosis
Nobis, Max. "In vivo FLIM-FRET imaging of pharmacodynamics and disease progression in mouse cancer models." Thesis, University of Glasgow, 2016. http://theses.gla.ac.uk/7283/.
Full textPerrin, Aurélien. "Caenorhabditis elegans un modèle d’étude des différents compartiments du noyau : de l’étude d’un stress du nucléole par inhibition de la voie de neddylation à la mesure de la compaction de la chromatine in vivo." Thesis, Montpellier, 2018. http://www.theses.fr/2018MONTT049/document.
Full textThe ubiquitin-like molecule NEDD8 is conserved and essential for viability, growth and development; its activation pathway is a promising target for therapeutic intervention. We found that the small molecule inhibitor of NEDDylation, MLN4924, alters the morphology and increases the surface size of the nucleolus in human cells and Caenorhabditis elegans germ cells in the absence of nucleolar fragmentation. Through SILAC proteomic analysis and rRNA production, processing and ribosome profiling, we show that MLN4924 changes the composition of the nucleolar proteome but does not inhibit RNA Pol I transcription. Further analysis demonstrates that MLN4924 activates the p53 tumour suppressor through the RPL11/RPL5-Mdm2 pathway, with characteristics of nucleolar stress. The study identifies the nucleolus as a target of the NEDDylation pathway and provides a mechanism for p53 activation upon NEDD8 inhibition.Then we adapted a quantitative FRET (Förster resonance energy transfer)-based fluorescence lifetime imaging microscopy (FLIM) approach to assay the nano-scale chromatin compaction in a living organism, the nematode Caenorhabditis elegans. By measuring FRET between histone-tagged fluorescent proteins, we visualized distinct chromosomal regions and quantified the different levels of nanoscale compaction in meiotic cells. Using RNAi and repetitive extrachromosomal array approaches, we defined the heterochromatin state and showed that its architecture presents a nanoscale-compacted organization controlled by Heterochromatin Protein-1 (HP1) and SETDB1 H3-lysine-9 methyl-transferase homologs in vivo. Next, we functionally explored condensin complexes. We found that condensin I and condensin II are essential for heterochromatin compaction and that condensin I additionally controls lowly compacted regions. Our data show that, in living animals, nanoscale chromatin compaction is controlled not only by histone modifiers and readers but also by condensin complexes.We confirm that C. elegans is an interesting model to study nuclear signalling and perfectly adapt to be a platform for pre-clinical studies
Engel, Stephanie Vanessa. "Assembly von Influenzaviren." Doctoral thesis, Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät I, 2009. http://dx.doi.org/10.18452/15918.
Full textIt has been supposed that the hemagglutinin (HA) of influenza virus is recruited to cholesterol- and sphingolipid-enriched domains, also named membrane-rafts, to accomplish its function in virus budding and membrane fusion. This study aimed at verifying the affinity of HA for membrane-rafts in living cells using fluorescence-lifetime imaging microscopy to measure Förster’s resonance energy transfer (FLIM-FRET). FLIM-FRET revealed strong clustering between a fluorescence-tagged HA-protein and a well-established raft-marker in CHO cells. Clustering was significantly reduced when rafts were disintegrated by cholesterol depletion and when microfilaments were disrupted with cytochalasin D. Thus, membrane-rafts as well as the actin meshwork contribute synergistically to clustering. Clustering was also reduced by the removal of the known signals for the association of HA with detergent-resistant-membranes, the palmitoylation and the first amino acids in the transmembrane region (TMR). Since these mutations are obviously important for the raft-association of HA their function during the transport through the ER and the Golgi-complex was studied. These investigations showed that the exchange of the first three amino acids of the HA-TMR led to a decelerated transport after trimer-formation of the protein, probably due to retarded integration of these proteins into membrane-raft domains. Mediating viral fusion with the host cell membrane requires an irreversible conformational change of HA. FLIM-FRET studies of this low pH conformation unveiled that the clustering with the raft-marker is decisively reduced compared to the pre-fusion conformation of the protein. It might be assumed that the fusion-mediating conformation of HA reduces the proteins affinity for membrane-rafts. Therefore it is likely that this reduced affinity for rafts after the conformational change is relevant to cause perturbation of lipids at the fusion site and thereby facilitating the formation and/or enlargement of the fusion pore.
Sizaire, Florian. "Développement d’un criblage automatisé de l’activité kinase d’un biosenseur Aurora A par FLIM." Thesis, Rennes 1, 2019. http://www.theses.fr/2019REN1B033.
Full textOverexpression of Aurora A is a major marker of some epithelial cancers. This gene encodes the multifunctional Aurora A kinase and its activation is required for entry and progression to mitosis. So far, no inhibitor of this oncogene has been approved by the FDA and it is therefore essential to identify new molecules. Our team developed a Forster Resonance Energy Transfer (FRET) biosensor for Aurora A kinase activity, consisting of the entire kinase flanked by two fluorophores, a GFP and a mCherry. The conformational change of Aurora A when it is activated brings the fluorophores closer and increases FRET efficiency. It is thus possible to follow the activation of Aurora A in living cells expressing the biosensor at endogenous levels. We can measure FRET using FLIM (Fluorescence Lifetime Imaging Microscopy) technique using a microscope developed in the team called fastFLIM. My thesis work consisted of developing a robust and automated screening strategy by combining the capabilities of fastFLIM and the Aurora A activity biosensor. This strategy based on automation of acquisitions and data analysis allowed to screen a library of 96-well plate molecules for potential inhibitors of Aurora A kinase activity. In addition, I participated in the validation of the biosensor for kinase activity monitoring in living cells, showing that the FRET variations measured correspond to the phosphorylation state of Aurora A on the Threonine 288 residue, a marker of its activation. Finally, I participated in the development of new microscopy techniques to monitor the activity of the biosensor. For that, I used a homoFRET biosensor with the challenge of being able to use several biosensors in a multiplex context. I also used the 2c-FCCS (2-color Fluorescence Cross Correlation Spectroscopy) technique on the Aurora A biosensor to measure FRET in regions where it is weakly expressing and whose lifetime measurement of Fluorescence is not possible by FLIM. Thus, my thesis work is part of the trend to develop a quantitative and autonomous microscopy with the challenge of providing a large number of phenotypic data
Ziegler, Cornelia. "Imagerie quantitative de l'assemblage de la NADPH oxydase des phagocytes en cellules vivantes par des approches FRET-FLIM." Thesis, Université Paris-Saclay (ComUE), 2016. http://www.theses.fr/2016SACLS048/document.
Full textThe phagocyte NADPH oxidase (NOX2) is a key enzyme of the immune system generating superoxide anions, which are precursors for other reactive oxygen species. Any dysfunctions of NOX2 are associated with a plethora of diseases and thus detailed knowledge about its regulation is needed. This oxidase is composed of five subunits, the membrane-bound gp91phox and p22phox and the cytosolic p47phox, p67phox, and p40phox. The latter are assumed to be in a ternary complex that translocates together with the small GTPase Rac to the membranous subunits during activation.Our aim was to discover and to characterize specific interactions of the cytosolic subunits of NOX2 in live cells using a Förster Resonance Energy Transfer (FRET) based approach: Since FRET depends on the distance between two fluorophores, it can be used to reveal protein-protein interactions non-invasively by studying fluorescent protein tagged subunits. To have a rapid method on hand to reveal specific interactions, a flow cytometer based FRET approach was developed. For more detailed studies, FRET was measured by fluorescence lifetime imaging microscopy (FLIM), because it allows a direct determination of the apparent and molecular FRET efficiency, which contains both qualitative and quantitative information about the interaction and the structure of the interacting proteins. Furthermore, the FRET-FLIM approach enables an estimation of the fraction of bound donor. This information itself is important for a better understanding of the organisation and regulation of the NOX2, but it is also necessary for the calculation of the dissociation constant Kd from the FRET-FLIM data. To confirm the findings obtained by FRET-FLIM fluorescence cross correlation spectroscopy (FCCS) experiments were performed. This completely independent method is not based on distances like FRET but on the observation of the co diffusion of the fluorescently labelled samples when they move across a small observation volume inside the cells.The FRET-FLIM approach allowed us in a first step to discover heterodimeric interactions between all cytosolic subunits in live cells. Due to the good precision of the results, we were able to extract structural information about the interactions and to compare them with available structural data obtained from in vitro studies. The information from FRET-FLIM was coherent with in vitro data. We then aligned the available structures leading to the first 3D model of the cytosolic complex of the NADPH oxidase in the resting state in live cells.Additionally, the bound fraction for all heterodimeric interactions derived by FRET-FLIM is around 20 %, which is in contrast to the general belief that all cytosolic subunits are bound in complex. The first FCCS results support our findings. Therefore, we believe that the complexation of the cytosolic subunits could be involved in the regulation of the NADPH oxidase and should be investigated further. The estimated Kd derived from the FRET-FLIM approach is in the low micomolar range, which is an order of a magnitude higher than the nanomolar range of in vitro studies.In conclusion, we showed that our quantitative FRET-FLIM approach is not only able to distinguish between specific and unspecific protein-protein interactions, but gives also information about the structural organisation of the interacting proteins. The high precision of the FRET-FLIM data allow the determination of the bound fraction and an estimation of the Kd in live cells. FCCS is a complementary method, which can verify these quantitative findings. However, it cannot replace FRET-FLIM completely as it does not give any structural information.With respect to the biological outcome of this project, we can propose for the first time a 3D-model of the cytosolic complex of the NADPH oxidase covering the in vitro as well as the live cell situation. Additionally, the small bound fraction found here may raise new ideas on the regulation of this vital enzyme
Books on the topic "FLIM-FRET"
Gadella, Theodorus W. J. FRET and FLIM Techniques. Elsevier Science & Technology Books, 2011.
Find full textFret and Flim Techniques. Elsevier, 2009. http://dx.doi.org/10.1016/s0075-7535(08)x0001-4.
Full textBook chapters on the topic "FLIM-FRET"
Kukk, Olga, Jeffrey Klarenbeek, and Kees Jalink. "Time-Domain Fluorescence Lifetime Imaging of cAMP Levels with EPAC-Based FRET Sensors." In cAMP Signaling, 105–16. New York, NY: Springer US, 2022. http://dx.doi.org/10.1007/978-1-0716-2245-2_7.
Full textMorton, Penny E., and Maddy Parsons. "Measuring FRET Using Time-Resolved FLIM." In Methods in Molecular Biology, 403–13. Totowa, NJ: Humana Press, 2011. http://dx.doi.org/10.1007/978-1-61779-207-6_27.
Full textPeriasamy, Ammasi, Nirmal Mazumder, Yuansheng Sun, Kathryn G. Christopher, and Richard N. Day. "FRET Microscopy: Basics, Issues and Advantages of FLIM-FRET Imaging." In Springer Series in Chemical Physics, 249–76. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-14929-5_7.
Full textBücherl, Christoph, José Aker, Sacco de Vries, and Jan Willem Borst. "Probing Protein–Protein Interactions with FRET–FLIM." In Plant Developmental Biology, 389–99. Totowa, NJ: Humana Press, 2010. http://dx.doi.org/10.1007/978-1-60761-765-5_26.
Full textYoo, Tae Yeon, and Daniel J. Needleman. "Studying Kinetochores In Vivo Using FLIM-FRET." In Methods in Molecular Biology, 169–86. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-3542-0_11.
Full textKao, Fu-Jen, Gitanjal Deka, and Nirmal Mazumder. "Cellular Autofluorescence Detection Through FLIM/FRET Microscopy." In Topics in Applied Physics, 471–82. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-017-9392-6_26.
Full textDay, Richard N. "Chapter 3 Visible Fluorescent Proteins for FRET-FLIM." In Flim Microscopy in Biology and Medicine, 65–92. 6000 Broken Sound Parkway NW, Suite 300 Boca Raton, FL 33487-2742: CRC Press, 2009. http://dx.doi.org/10.1201/9781420078916-4.
Full textEvans, Paul R., Long Yan, and Ryohei Yasuda. "Imaging Neuronal Signal Transduction Using Multiphoton FRET-FLIM." In Neuromethods, 111–30. New York, NY: Springer New York, 2019. http://dx.doi.org/10.1007/978-1-4939-9702-2_6.
Full textRichert, Ludovic, Pascal Didier, Hugues de Rocquigny, and Yves Mély. "Monitoring HIV-1 Protein Oligomerization by FLIM FRET Microscopy." In Springer Series in Chemical Physics, 277–307. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-14929-5_8.
Full textLaptenok, Sergey P., Joris J. Snellenburg, Christoph A. Bücherl, Kai R. Konrad, and Jan Willem Borst. "Global Analysis of FRET–FLIM Data in Live Plant Cells." In Methods in Molecular Biology, 481–502. Totowa, NJ: Humana Press, 2013. http://dx.doi.org/10.1007/978-1-62703-649-8_21.
Full textConference papers on the topic "FLIM-FRET"
Elangovan, Masilamani, Richard N. Day, and Ammasi Periasamy. "FRET-FLIM microscopy." In International Symposium on Biomedical Optics, edited by Ammasi Periasamy and Peter T. C. So. SPIE, 2002. http://dx.doi.org/10.1117/12.470682.
Full textGarcia, Edwin, Wenjun Guo, Sunil Kumar, Frederik Görlitz, Hugh Sparks, Yuriy Alexandrov, Ian Munro, et al. "FLIM, FRET and high content analysis." In Multiphoton Microscopy in the Biomedical Sciences XX, edited by Ammasi Periasamy, Peter T. So, and Karsten König. SPIE, 2020. http://dx.doi.org/10.1117/12.2547517.
Full textWarren, Sean, Christopher Kimberley, Anca Margineanu, Romain Laine, Christopher Dunsby, Matilda Katan, and Paul M. French. "FLIM-FRET of Cell Signalling in Chemotaxis." In Optical Molecular Probes, Imaging and Drug Delivery. Washington, D.C.: OSA, 2013. http://dx.doi.org/10.1364/omp.2013.mth1c.5.
Full textWallrabe, Horst, Yuangsheng Sun, Zdenek Svindrych, and Ammasi Periasamy. "Comprehensive quantitative evaluation of FLIM-FRET microscopy." In SPIE BiOS, edited by Ammasi Periasamy, Peter T. C. So, and Karsten König. SPIE, 2015. http://dx.doi.org/10.1117/12.2180162.
Full textChen, Ye, and Ammasi Periasamy. "Two-photon FLIM-FRET microscopy for protein localization." In Biomedical Optics 2004, edited by Ammasi Periasamy and Peter T. C. So. SPIE, 2004. http://dx.doi.org/10.1117/12.538312.
Full textZhang, Yinan, Yu Chen, Jun Yu, and David J. S. Birch. "Endosytosis Study of Gold Nanoparticles through FRET-FLIM Approach." In Biomedical Engineering. Calgary,AB,Canada: ACTAPRESS, 2017. http://dx.doi.org/10.2316/p.2017.852-032.
Full textPoland, Simon P., Simao Coelho, Nikola Krstajić, David Tyndall, Richard Walker, James Monypenny, David D. Li, Robert Henderson, and Simon Ameer-Beg. "Development of a fast TCSPC FLIM-FRET imaging system." In SPIE BiOS, edited by Ammasi Periasamy, Karsten König, and Peter T. C. So. SPIE, 2013. http://dx.doi.org/10.1117/12.2004199.
Full textGabrielaitis, Dovydas. "Development of a novel FLIM-FRET based synaptic sensor." In European Microscopy Congress 2020. Royal Microscopical Society, 2021. http://dx.doi.org/10.22443/rms.emc2020.1135.
Full textPeriasamy, Ammasi, Shagufta R. Alam, Zdenek Svindrych, and Horst Wallrabe. "FLIM-FRET image analysis of tryptophan in prostate cancer cells." In European Conferences on Biomedical Optics, edited by Emmanuel Beaurepaire, Francesco S. Pavone, and Peter T. C. So. SPIE, 2017. http://dx.doi.org/10.1117/12.2283037.
Full textKrishnan, Ramanujan V., Eva Biener, Victoria E. Centonze, Arieh Gertler, and Brian A. Herman. "Multiphoton FLIM: a reliable FRET detection tool in cell biological applications." In Biomedical Optics 2004, edited by Ammasi Periasamy and Peter T. C. So. SPIE, 2004. http://dx.doi.org/10.1117/12.528050.
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