scholarly journals Fluorescence lifetime imaging microscopy (FLIM) to quantify protein–protein interactions inside cells

2006 ◽  
Vol 34 (5) ◽  
pp. 679-682 ◽  
Author(s):  
R.R. Duncan
Keyword(s):  
Spatial Resolution ◽  
Single Molecule ◽  
Protein Interactions ◽  
Single Photon ◽  
Imaging Spectroscopy ◽  
Living Cells ◽  
Fluorescence Lifetime Imaging ◽  
Protein Protein Interactions ◽  
Recent Developments

Recent developments in cellular imaging spectroscopy now permit the minimally invasive study of protein dynamics inside living cells. These advances are of interest to cell biologists, as proteins rarely act in isolation, but rather in concert with others in forming cellular machinery. Until recently, all protein interactions had to be determined in vitro using biochemical approaches: this biochemical legacy has provided cell biologists with the basis to test defined protein–protein interactions not only inside cells, but now also with high spatial resolution. These techniques can detect and quantify protein behaviours down to the single-molecule level, all inside living cells. More recent developments in TCSPC (time-correlated single-photon counting) imaging are now also driving towards being able to determine protein interaction rates with similar spatial resolution, and together, these experimental advances allow investigators to perform biochemical experiments inside living cells.

Fluorescence resonance energy transfer in revealing protein–protein interactions in living cells

2021 ◽  
Author(s):  
Sukesh R. Bhaumik
Keyword(s):  
Single Cell ◽  
Protein Interactions ◽  
Resonance Energy Transfer ◽  
Resonance Energy ◽  
Living Cells ◽  
Biological Processes ◽  
Protein Protein Interactions ◽  
Functional Mechanisms

Genes are expressed to proteins for a wide variety of fundamental biological processes at the cellular and organismal levels. However, a protein rarely functions alone, but rather acts through interactions with other proteins to maintain normal cellular and organismal functions. Therefore, it is important to analyze the protein–protein interactions to determine functional mechanisms of proteins, which can also guide to develop therapeutic targets for treatment of diseases caused by altered protein–protein interactions leading to cellular/organismal dysfunctions. There is a large number of methodologies to study protein interactions in vitro, in vivo and in silico, which led to the development of many protein interaction databases, and thus, have enriched our knowledge about protein–protein interactions and functions. However, many of these interactions were identified in vitro, but need to be verified/validated in living cells. Furthermore, it is unclear whether these interactions are direct or mediated via other proteins. Moreover, these interactions are representative of cell- and time-average, but not a single cell in real time. Therefore, it is crucial to detect direct protein–protein interactions in a single cell during biological processes in vivo, towards understanding the functional mechanisms of proteins in living cells. Importantly, a fluorescence resonance energy transfer (FRET)-based methodology has emerged as a powerful technique to decipher direct protein–protein interactions at a single cell resolution in living cells, which is briefly described in a limited available space in this mini-review.

scholarly journals Multiphoton time-domain fluorescence lifetime imaging microscopy: practical application to protein–protein interactions using global analysis

2008 ◽  
Vol 6 (suppl_1) ◽  
Author(s):  
P.R Barber ◽  
S.M Ameer-Beg ◽  
J Gilbey ◽  
L.M Carlin ◽  
M Keppler ◽  
...  
Keyword(s):  
Fluorescence Lifetime ◽  
Protein Interactions ◽  
Time Domain ◽  
Single Photon ◽  
Global Analysis ◽  
Exponential Fitting ◽  
Fluorescence Lifetime Imaging Microscopy ◽  
Fluorescence Lifetime Imaging ◽  
Protein Protein Interactions ◽  
Lifetime Imaging

Förster resonance energy transfer (FRET) detected via fluorescence lifetime imaging microscopy (FLIM) and global analysis provide a way in which protein–protein interactions may be spatially localized and quantified within biological cells. The FRET efficiency and proportion of interacting molecules have been determined using bi-exponential fitting to time-domain FLIM data from a multiphoton time-correlated single-photon counting microscope system. The analysis has been made more robust to noise and significantly faster using global fitting, allowing higher spatial resolutions and/or lower acquisition times. Data have been simulated, as well as acquired from cell experiments, and the accuracy of a modified Levenberg–Marquardt fitting technique has been explored. Multi-image global analysis has been used to follow the epidermal growth factor-induced activation of Cdc42 in a short-image-interval time-lapse FLIM/FRET experiment. Our implementation offers practical analysis and time-resolved-image manipulation, which have been targeted towards providing fast execution, robustness to low photon counts, quantitative results and amenability to automation and batch processing.

scholarly journals A cell-free approach to accelerate the study of protein–protein interactions in vitro

2013 ◽  
Vol 3 (5) ◽  
pp. 20130018 ◽  
Author(s):  
E. Sierecki ◽  
N. Giles ◽  
M. Polinkovsky ◽  
M. Moustaqil ◽  
K. Alexandrov ◽  
...  
Keyword(s):  
Drug Discovery ◽  
Single Molecule ◽  
Protein Interactions ◽  
Protein Complexes ◽  
Protein Interaction Networks ◽  
The Novel ◽  
Protein Protein Interactions ◽  
Single Molecule Fluorescence Spectroscopy ◽  
A Cell

Protein–protein interactions are highly desirable targets in drug discovery, yet only a fraction of drugs act as binding inhibitors. Here, we review the different technologies used to find and validate protein–protein interactions. We then discuss how the novel combination of cell-free protein expression, AlphaScreen and single-molecule fluorescence spectroscopy can be used to rapidly map protein interaction networks, determine the architecture of protein complexes, and find new targets for drug discovery.

scholarly journals TagBiFC technique allows long-term single-molecule tracking of protein-protein interactions in living cells

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Shipeng Shao ◽  
Hongchen Zhang ◽  
Yong Zeng ◽  
Yongliang Li ◽  
Chaoying Sun ◽  
...  
Keyword(s):  
Single Molecule ◽  
Protein Interactions ◽  
Time Course ◽  
Fluorescent Proteins ◽  
Living Cells ◽  
Bimolecular Fluorescence Complementation ◽  
Protein Protein Interactions ◽  
Spatiotemporal Resolution ◽  
Dynamic Interactions ◽  
Single Molecule Tracking

AbstractProtein-protein interactions (PPIs) are critical for cellular activity regulation. Visualization of PPIs using bimolecular fluorescence complementation (BiFC) techniques helps to understand how PPIs implement their functions. However, current BiFC is based on fluorescent proteins and the brightness and photostability are suboptimal for single molecule tracking experiments, resulting in either low spatiotemporal resolution or incapability of tracking for extended time course. Here, we developed the TagBiFC technique based on split HaloTag, a self-labeling tag that could conjugate an organic dye molecule and thus offered better brightness and photostability than fluorescent proteins for PPI visualization inside living cells. Through screening and optimization, we demonstrated that the reconstituted HaloTag exhibited higher localization precision and longer tracking length than previous methods. Using TagBiFC, we reveal that the dynamic interactions of transcription factor dimers with chromatin DNA are distinct and closely related to their dimeric states, indicating a general regulatory mechanism for these kinds of transcription factors. In addition, we also demonstrated the advantageous applications of TagBiFC in single nucleosome imaging, light-burden imaging of single mRNA, low background imaging of cellular structures. We believe these superior properties of our TagBiFC system will have broad applications in the studies of single molecule imaging inside living cells.

scholarly journals A Combined Acceptor Photobleaching and Donor Fluorescence Lifetime Imaging Microscopy Approach to Analyze Multi-Protein Interactions in Living Cells

2021 ◽  
Vol 8 ◽  
Author(s):  
Robert Eckenstaler ◽  
Ralf A. Benndorf
Keyword(s):  
Fluorescence Lifetime ◽  
Protein Interactions ◽  
Information Transfer ◽  
Resonance Energy ◽  
Microscopic Analysis ◽  
Living Cells ◽  
Hek293 Cells ◽  
Fluorescence Lifetime Imaging ◽  
Protein Protein Interactions ◽  
Acceptor Photobleaching

Protein–protein interaction studies often provide new insights, i.e., into the formation of protein complexes relevant for structural oligomerization, regulation of enzymatic activity or information transfer within signal transduction pathways. Mostly, biochemical approaches have been used to study such interactions, but their results are limited to observations from lysed cells. A powerful tool for the non-invasive investigation of protein–protein interactions in the context of living cells is the microscopic analysis of Förster Resonance Energy Transfer (FRET) among fluorescent proteins. Normally, FRET is used to monitor the interaction state of two proteins, but in addition, FRET studies have been used to investigate three or more interacting proteins at the same time. Here we describe a fluorescence microscopy-based method which applies a novel 2-step acceptor photobleaching protocol to discriminate between non-interacting, dimeric interacting and trimeric interacting states within a three-fluorophore setup. For this purpose, intensity- and fluorescence lifetime-related FRET effects were analyzed on representative fluorescent dimeric and trimeric FRET-constructs expressed in the cytosol of HEK293 cells. In particular, by combining FLIM- and intensity-based FRET data acquisition and interpretation, our method allows to distinguish trimeric from different types of dimeric (single-, double- or triple-dimeric) protein–protein interactions of three potential interaction partners in the physiological setting of living cells.

Probing the 14-3-3 Isoform-Specificity Profile of Interactions Stabilized by Fusicoccin A

2020 ◽  
Author(s):  
James Frederich ◽  
Ananya Sengupta ◽  
Josue Liriano ◽  
Ewa A. Bienkiewicz ◽  
Brian G. Miller
Keyword(s):  
Protein Interactions ◽  
Neurological Diseases ◽  
Adapter Proteins ◽  
Protein Protein Interactions ◽  
Specific Expression ◽  
Individual Client ◽  
Isoform Specificity ◽  
Fusicoccin A

Fusicoccin A (FC) is a fungal phytotoxin that stabilizes protein–protein interactions (PPIs) between 14-3-3 adapter proteins and their phosphoprotein interaction partners. In recent years, FC has emerged as an important chemical probe of human 14-3-3 PPIs implicated in cancer and neurological diseases. These previous studies have established the structural requirements for FC-induced stabilization of 14-3-3·client phosphoprotein complexes; however, the effect of different 14-3-3 isoforms on FC activity has not been systematically explored. This is a relevant question for the continued development of FC variants because there are seven distinct isoforms of 14-3-3 in humans. Despite their remarkable sequence and structural similarities, a growing body of experimental evidence supports both tissue-specific expression of 14-3-3 isoforms and isoform-specific functions <i>in vivo</i>. Herein, we report the isoform-specificity profile of FC <i>in vitro</i>using recombinant human 14-3-3 isoforms and a focused library of fluorescein-labeled hexaphosphopeptides mimicking the C-terminal 14-3-3 recognition domains of client phosphoproteins targeted by FC in cell culture. Our results reveal modest isoform preferences for individual client phospholigands and demonstrate that FC differentially stabilizes PPIs involving 14-3-3s. Together, these data provide strong motivation for the development of non-natural FC variants with enhanced selectivity for individual 14-3-3 isoforms.

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