| Two-Photon Fluorescence Spectroscopy and Microscopy of NAD(P)H and Flavoprotein Biophysical Journal, Volume 82, Issue 5, 1 May 2002, Pages 2811-2825 Shaohui Huang, Ahmed A. Heikal and Watt W. Webb Abstract Two-photon (2P) ratiometric redox fluorometry and microscopy of pyridine nucleotide (NAD(P)H) and flavoprotein (FP) fluorescence, at 800-nm excitation, has been demonstrated as a function of mitochondrial metabolic states in isolated adult dog cardiomyocytes. We have measured the 2P-excitation spectra of NAD(P)H, flavin adenine dinucleotide (FAD), and lipoamide dehydrogenase (LipDH) over the wavelength range of 720-1000nm. The 2P-excitation action cross sections () increase rapidly at wavelengths below 800nm, and the maximum of LipDH is ∼5 and 12 times larger than those of FAD and NAD(P)H, respectively. Only FAD and LipDH can be efficiently excited at wavelengths above 800nm with a broad 2P-excitation band around 900nm. Two autofluorescence spectral regions (i.e., ∼410–490nm and ∼510–650nm) of isolated cardiomyocytes were imaged using 2P-laser scanning microscopy. At 750-nm excitation, fluorescence of both regions is dominated by NAD(P)H emission, as indicated by fluorescence intensity changes induced by mitochondrial inhibitor NaCN and mitochondria uncoupler carbonyl cyanide -(trifluoromethoxy) phenyl hydrazone (FCCP). In contrast, 2P-FP fluorescence dominates at 900-nm excitation, which is in agreement with the measurements. Finally, 2P-autofluorescence emission spectra of single cardiac cells have been obtained, with results suggesting potential for substantial improvement of the proposed 2P-ratiometric technique. Abstract | Full Text | PDF (1256 kb) |
| Imaging the Activity and Localization of Single Voltage-Gated Ca Channels by Total Internal Reflection Fluorescence Microscopy Biophysical Journal, Volume 86, Issue 5, 1 May 2004, Pages 3250-3259 Angelo Demuro and Ian Parker Abstract The patch-clamp technique has enabled functional studies of single ion channels, but suffers limitations including lack of spatial information and inability to independently monitor currents from more than one channel. Here, we describe the use of total internal reflection fluorescence microscopy as an alternative, noninvasive approach to optically monitor the activity and localization of multiple Ca-permeable channels in the plasma membrane. Images of near-membrane Ca signals were obtained from >100 N-type channels expressed within restricted areas (80×80m) of oocytes, thereby permitting simultaneous resolution of their gating kinetics, voltage dependence, and localization. Moreover, this technique provided information inaccessible by electrophysiological means, demonstrating that N-type channels are immobile in the membrane, show a patchy distribution, and display diverse gating kinetics even among closely adjacent channels. Total internal reflection fluorescence microscopy holds great promise for single-channel recording of diverse voltage- and ligand-gated Ca-permeable channels in the membrane of neurons and other isolated or cultured cells, and has potential for high-throughput functional analysis of single channels. Abstract | Full Text | PDF (550 kb) |
| The illuminated plant cell Trends in Plant Science, Volume 12, Issue 11, 1 November 2007, Pages 506-513 Jaideep Mathur Abstract The past decade has provided biologists with a palette of genetically encoded, multicolored fluorescent proteins. The living plant cell turned into a ‘coloring book’ and today, nearly every text-book organelle has been highlighted in scintillating fluorescent colors. This review provides a concise listing of the earliest representative fluorescent-protein probes used to highlight various targets within the plant cell, and introduces the idea of using the numerous multicolor, subcellular probes for the development of an early intracellular response profile of plants. Abstract | Full Text | PDF (5895 kb) |
Copyright © 2007 The Biophysical Society. All rights reserved.
Biophysical Journal, Volume 92, Issue 12, 4137-4144, 15 June 2007
doi:10.1529/biophysj.106.100206
Biophysical Reviews and Perspectives
Dawen Cai*, §, Kristen J. Verhey*, ‡,
and Edgar Meyhöfer†, ‡, §,
, 
* Departments of Cell and Developmental Biology, University of Michigan, Ann Arbor, Michigan
† Departments of Mechanical Engineering, University of Michigan, Ann Arbor, Michigan
‡ Departments of Program in Cellular and Molecular Biology, University of Michigan, Ann Arbor, Michigan
§ Departments of Biophysics Research Division, University of Michigan, Ann Arbor, Michigan
Address reprint requests to E. Meyhöfer, or K. J. Verhey.During recent years, new quantitative and mechanistic insights into biomolecule function have frequently been derived from single-molecule, in vitro assays using purified molecules. While the benefit to such analysis is to avoid many of the uncertainties associated with ensemble-averaging experiments, in vitro approaches eliminate many physiologically relevant components of the system such as interactions with other molecules, localization of molecules or macromolecular complexes to cellular subdomains, and specific physiological conditions. In addition, many processes in biology (including gene expression, cell signaling, and cellular trafficking) are controlled by a single or very few protein molecules. Consequently, a major objective of modern life sciences research is the development of single-molecule, in vivo imaging techniques and assays to study the movements, interactions, and biochemical activity of biomolecules in intact cells (see 1,2).
Current live cell, single-molecule imaging is most readily possible with events occurring on the plasma membranes 3,4,5,6. Analysis of cytoplasmic events has been limited to specialized labeling techniques (for example 7,8,9) or bright semiconductor quantum dots 10,11,12,13 to overcome cellular autofluorescence. Harnessing the full potential of in vivo, single-molecule imaging will, however, require the ability to follow any individual molecule in the cytoplasm by direct, fluorescent protein-based labeling to maintain biomolecule functionality and avoid artifacts associated with the uptake of external probes. Here we develop a three-tandem monomeric Citrine tag (3×mCit) for labeling and demonstrate, using the motor molecule Kinesin-1 as model system, that it is indeed possible to track the movement of single, genetically labeled, fully functional protein molecules in the cytoplasm of live cells with high temporal and spatial resolution. Kinesin is an extremely interesting model for such studies, because 1), its rapid movement along microtubules is challenging to track; and 2), the in vivo structural and motile properties enabling kinesin motors to power cellular transport processes remain largely unknown.
Myc-tagged rat kinesin heavy chain (KHC)(1-891) has been described previously 14. KHC(1-891) and KHC(1-339) fluorescent protein (FP)-fusion proteins were created by PCR and verified by DNA sequencing. A 12-amino-acid linker (TVPRARDPPVAT) was inserted between the KHC coding sequence and fluorescent protein tags. Vectors containing three tandem copies of mCit (p3×mCit-N1 and p3×mCit-C1) were created by PCR using the EGFP-N1 and EGFP-C1 vectors (Clontech, Palo Alto, CA) as a backbone. Ten amino-acid linkers (GAPGGSPVAT and GAPGTSGASG) connect the three copies of mCit.
105 COS cells 14 were added to 35-mm cell culture dishes containing a 25 mm×25mm, #1.5 cover glass (Corning Glass, Corning, NY). Cells were allowed to settle and then transiently transfected with 1μg of plasmid DNA and 3μl TransIT-LTI (Takara Mirus Bio, Madison, WI). After 4–10h, COS cells were used for live cell or in vitro single molecule experiments. Cells were lysed in 50μl of SLB lysis buffer (40mM HEPES/KOH, 120mM NaCl, 1mM EDTA, 10mM pyrophosphate, 10mM β-glycerophosphate, 50mM NaF, pH 7.5) containing 0.5% Triton X-100, protease inhibitors (1mM PMSF, 10μg/ml leupeptin, 5μg/ml chymostatin, 3μg/ml eastatinal, 1 mg/ml pepstatin A) and 1mM ATP. Cell lysates were cleared by centrifugation at 14,000rpm for 10min at 4°C in a table-top centrifuge. The supernatant was used immediately or flash-frozen by immersion in liquid nitrogen and stored at −80°C. After SDS-PAGE and transfer to nitrocellulose, proteins were immunoblotted with polyclonal antibodies to KHC (#13 14) or GFP (Molecular Probes, Eugene, OR).
After 4–8h expression, transfected COS cells on a cover glass were carefully rinsed with Ringers buffer (10mM HEPES/KOH, 155mM NaCl, 5mM KCl, 2mM CaCl2, 1mM MgCl2, 2mM NaH2PO4, 10mM glucose, pH 7.2). The cover glass was assembled into a flow chamber with double-sided tape and a microscopy slide. After sealing with candle wax, the cells could be maintained in Ringers buffer for several hours at 24°C. Objective-type total internal reflection fluorescence microscopy (TIRFM) was performed on a custom-modified Zeiss Axiovert 135TV microscope (Carl Zeiss, Göttingen, Germany), equipped with a 1.45 NA α-Plan Fluor objective, 2.5× optovar, 505DCXR dichroic and HQ540/70M emission filters (Chroma Technology, Rockingham, VT) and a back-illuminated EMCCD camera (Cascade 512B, Roper Scientific, Trenton, NJ). The 488nm line of a tunable, single-mode, fiber-coupled Argon Ion Laser with Littrow prism (Schäfter und Kirchhoff, Melles Griot, Carlsbad, CA) at incident powers of 0.26 mW or 0.55 mW was used to illuminate a circular region of ∼30μm in diameter for capturing video sequences at 30Hz or 100Hz, respectively.
In vitro single molecule motility assays were performed in a flow chamber made from a 25 mm×25mm #1.5 cover glass and a microscopy slide spaced by double-sided tape (chamber volume ∼30μl). Plus end-labeled Cy5 microtubules were diluted 10-fold in P12 buffer (12mM PIPES/KOH, 1mM EGTA, 2mM MgCl2, pH 6.8) with 10μM taxol, flowed into the chamber, and incubated at room temperature for 2min. Fifteen milligrams per milliliter of BSA (in P12 buffer with 10μM taxol) was then flowed in and incubated for 10min at room temperature. Fifty microliters of oxygen scavenger buffer (1mM DTT, 1mM MgCl2, 2mM ATP, 10mM glucose, 0.1mg/ml glucose oxidase, 0.08mg/ml catalase, 5mg/ml BSA, and 10μM taxol in P12) containing 1μl of COS lysate was flowed in and the chamber was sealed with wax. The sealed chamber was then observed under the same conditions as live cell single molecule TIRFM experiments.
Movies and images were prepared with ImageJ (National Institutes of Health, Bethesda, MD), Photoshop and Illustrator (Adobe Systems, San Jose, CA). To determine the location of microtubule tracks frequently utilized by kinesin motors, standard deviation maps were generated by calculating the statistical intensity variation of each pixel location from the raw images of a video sequence (typically referred to as image stack) and plotting them in form of an image. In brief, for an image stack containing Z slices of images with M×N pixels, the intensity (I) of each pixel in the standard deviation map was calculated with ImageJ (ZProjector_StandardDeviation) as
![]() | (1) |
![]() | (2) |
Tubulin was purified from pig brain and nonspecifically labeled with Cy5-succinimidyl-esters (Amersham Bioscience, Piscataway, NJ 15) Microtubules were first polymerized with low ratio of Cy5-tubulin in BRB80 buffer (80mM PIPES/KOH, 1mM EGTA, 2mM MgCl2, pH 6.9) containing 1mM GTP and 2mM MgCl2 at 37°C for 15min, and stabilized by 10μM taxol (Paclitaxel, Calbiochem, San Diego, CA). The plus-ends were then labeled by mixing with 10-fold excess of Cy5-tubulin at 37°C for 5min. The microtubules, dimly labeled overall and heavily labeled at the plus ends, were used within three days. Imaging of Cy5-microtubule was performed by epifluorescence simultaneously with TIRFM (see above) using an HQ602/13M exciter, 51008BS/ dichroic mirror, and 51008M emission filter (Chroma Technology).
Single molecule tracking of the KHC(1-891)-3×mCit was performed on diffraction-limited fluorescence spots (5×5 pixels) that were clearly separated from the neighboring fluorescence. For in vivo data, only those fluorescence spots moving on stable, stationary microtubule tracks identified in standard deviation maps were selected. Comparison of microtubule standard deviation maps over time periods of many minutes was used to confirm that the selected microtubule tracks did not undergo significant movement as compared to the speed of kinesin. ImageJ's SpotTracker plug-in 16 was modified and used for measuring the speed and run length of single motors.
Analysis of the photobleaching behavior of kinesins in vivo and in vitro was performed with TIRFM using conditions identical to those used for motility assays. Incident laser power was 0.26mW or 0.55mW, illuminating a circular region of ∼30μm in diameter for image capture at 30Hz. For analyzing fluorophore properties in vivo, mCit-labeled motors were forced to remain in a microtubule-bound state by addition of the nonhydrolyzable ATP analog AMPPNP to ensure that the entire photobleaching event was captured. Transfected COS cells in a live cell chamber were permeabilized for 30s with 30μl of 0.1μg/μl Streptolysin O in Permeabilization Buffer I (25mM HEPES/KOH, 5mM MgCl2, 115mM KOAc, 5mM NaOAc, 0.5mM EGTA, pH 7.2) with 10 mg/ml of BSA. After washing three times with 50μl of Buffer I, 2mM of AMPPNP was flowed in and incubated for 10min. For analyzing fluorophore properties in vitro, a flow chamber was first incubated with 10 mg/ml of BSA (in oxygen scavenger buffer) for 10min. Fifty microliters of 1 mg/ml of BSA (in oxygen scavenger buffer) containing 1μl of COS cell lysate was then flowed in and incubated for another 10min. In each case, stationary fluorescent spots located within the light diffraction areas and separated from neighboring spots were chosen for analysis. Background-subtracted fluorescence intensity over time was plotted using an ImageJ plug-in developed in our lab. Briefly, a 5×5 pixel (320 nm×320nm) area covering a fluorescence spot was manually selected. A 9×9 pixel area was then automatically generated, centered by the selected 5×5 pixel area. The background-subtracted fluorescence intensity was then measured as the average intensity of the central 25 pixels minus the average intensity of the surrounding 56 pixels. Fluorescence bleaching steps and the single molecule initial photobleaching time (the earliest time when fluorescence intensity reaches background) were determined from the plots.
To track the motility of single Kinesin-1 motors in the cytoplasm of live cells, we utilized a constitutively active version of the kinesin heavy chain (KHC) subunit. Truncation of the KHC tail (KHC(1-891), Figure 1a) removes both the regulatory tail domain required for autoinhibition of motor activity and the ATP-independent cryptic microtubule binding site that can obscure ATP-dependent microtubule-based motility 17. KHC(1-891) was genetically tagged with a monomeric version of the fluorescent protein (FP) Citrine (mCit), a brighter and more photostable version of EYFP 18. COS cells were chosen for these studies due to their flat morphology (Figure 1b) and their low levels of endogenous Kinesin-1 expression (Supplementary Material, Fig. S1 ). When observed by epi-fluorescence microscopy, KHC(1-891)-mCit expressed in COS cells showed diffuse cytoplasmic localization with some accumulation on microtubules (Figure 1b). Imaging of individual Kinesin-1 molecules was not feasible due to cellular autofluorescence and freely diffusing KHC(1-891)-mCit molecules. However, the shallow evanescent wave-excitation of total internal reflection fluorescence microscopy (TIRFM) dramatically reduced the background and made it possible to image individual fluorescent spots in the cell periphery (Fig. 2). Analysis of KHC(1-891)-mCit transfected COS cells by TIRFM revealed clearly detectable, diffraction-limited fluorescent spots that underwent kinesin-like processive motility (Figure 2ab; and see Supplementary Material, Movie 1 ). Rapid diffusion of the soluble fraction could also be seen. However, quantitative observations of individual KHC(1-891)-mCit molecules were hindered by 1), the low signal level relative to cellular autofluorescence; and 2), rapid bleaching and blinking (reversible photobleaching) 19.
To improve the fluorescence signal for in vivo imaging, we tagged KHC(1-891) with three tandem copies of mCit (KHC(1-891)-3×mCit, Figure 1a). When KHC(1-891)-3×mCit was expressed in COS cells, we observed significantly brighter diffraction-limited fluorescent spots (Figure 2ef; and see Supplementary Material, Movie 2 ). Using a sensitive frame-transfer CCD camera with on-chip multiplication gain, the average fluorescence excitation power was limited to ∼0.3μW/μm2, which resulted in a global time constant of 3×mCit photobleaching of ∼2.2s (Supplementary Material, Fig. S2 ). A higher excitation level of ∼0.6μW/μm2 was sufficient to record movies at up to 100 frames/s (Supplementary Material, Movie 7 ), although slightly longer exposure times (33ms) and lower laser power (0.3μW/μm2) represented the best compromise between image quality and resolving the movement of kinesin. Under these conditions, characterization of the processive run length of motors in vivo was not limited by premature fluorophore bleaching.
To demonstrate that the recorded fluorescent spots are single proteins and not aggregates, we characterized the fluorescence properties of the spots. The maximum fluorescence intensity for KHC(1-891)-3×mCit fluorescent spots was approximately three times that of KHC(1-891)-mCit spots (Figure 2gc, respectively). Individual fluorescent spots showed abrupt bleaching in unitary steps (photodestruction of mCit), characteristic of single molecules. Multiple steps indicate the presence of multiple FPs, with one to two steps for dimeric KHC(1-891)-mCit (Figure 2c), four to six steps for dimeric KHC(1-891)-3×mCit (Figure 2g; and see Supplementary Material, Fig. S3 ) and two to three steps for monomeric KHC(1-339)-3×mCit (Figure 2k). Deviations from an ideal bleaching response are most pronounced when multiple FPs are present in a single molecule (e.g., KHC(1-891)-3×mCit, Figure 2g) and are likely due to 1), frequent blinking of individual FPs; 2), fluorescence resonance energy transfer between fluorophores (homo-FRET); 3), partial bleaching of FPs before microtubule binding; and 4), incomplete FP maturation. Overall, the fluorescent properties of the spots, including the maximum fluorescence, the number of steps to a nonfluorescent dark state, and the rate of bleaching, are consistent with the number of FPs per constructs (Figure 1a, Supplementary Material, Fig. S3 ) and the global bleaching properties of 3×mCit (Supplementary Material, Fig. S2 ). Thus, the 3×mCit tag provided a better signal/noise ratio, blinked less frequently to a nonfluorescent dark state, and emitted more photons than mCit.
To verify that these fluorescent spots are single Kinesin-1 motor proteins, we analyzed the motile behavior of the spots. Importantly, both KHC(1-891)-mCit and KHC(1-891)-3×mCit fluorescent spots displayed linear processive movement (Figure 2bf, respectively), characteristic of kinesin motors. In contrast, KHC(1-339)-3×mCit, a monomeric Kinesin-1 that cannot move processively 20, showed only static binding to microtubules and fast diffusion in the cytoplasm (Figure 2ij; see Supplementary Material, Movie 3 ). Clearly, this movement suggests that the recorded spots are kinesins, not some other autofluorescent proteins or small structures.
Like many cellular events, tracking the motility of Kinesin-1 along microtubules requires fast imaging of infrequent events. Thus, to reveal this structural interaction and gather physiological data from multiple individual KHC(1-891)-3×mCit motility events, we computed standard deviation maps from the image series (see Experimental Methods and Materials). Such maps provide a statistical representation of the intensity fluctuations in each pixel such that background fluorescence is deemphasized and large changes in fluorescence intensity are enhanced. Clearly, the binding and movement of fluorescently-labeled motors along microtubules should lead to the largest intensity changes. Indeed, the computed maps from KHC(1-891)-mCit (Figure 2d) and KHC(1-891)-3×mCit (Figure 2h) reveal linear tracks that closely resemble the microtubule network in the periphery of COS cells (Figure 1b). In contrast, the standard deviation map from monomeric KHC(1-339)-3×mCit shows only static binding to the microtubules (Figure 2l). Such image processing can be applied to the analysis of many other cellular events, like DNA replication and transcription as well as other transport mechanisms, signaling events or catalytic processes that are associated with structural components of the cell.
Since the tandem FP tags enable high resolution tracking in vivo, we tested whether they could be used to study mammalian-expressed proteins in typical in vitro assays. Such an approach would avoid the drawbacks of bacterial expression, allow the analysis of multiprotein complexes and molecules containing the correct post-translational modifications, and make possible direct correlations between in vivo and in vitro properties. We extracted mCit-tagged KHC proteins from transfected COS cells for low background in vitro analysis (Fig. 3). Analysis of the bleaching properties of the mCit-tagged motors in vitro was consistent with the in vivo observations. KHC(1-891)-mCit, KHC(1-891)-3×mCit, and KHC(1-339)-3×mCit bleached in distinct steps (Figure 3adg, respectively). The maximum number of photobleaching steps (Figure 3cfi) and the rate of initial photobleaching (Figure 3beh) are directly related to the number of FPs for each fusion protein. The bleaching behavior is in agreement with Western blot analysis that the majority of KHC motors are mCit-tagged with a minority incorporating endogenous KHC (Supplementary Material, Fig. S1 ). Taken together, these results support the conclusion that we are tracking the movement of single Kinesin-1 molecules on microtubule tracks.
Finally, we set out to compare the in vivo motile behavior of Kinesin-1 with its in vitro properties. When extracted from COS cells, dimeric KHC(1-891)-3×mCit molecules moved processively toward the plus-end of polarity-marked, taxol-stabilized microtubules (Figure 4ab; see Supplementary Material, Movie 4 ) at an average speed of 0.77±0.14μm/s (Figure 4c) and an average run-length of 0.83±0.29μm (Figure 4d). Thus, the in vitro motile properties of our mammalian-expressed dimeric KHC constructs are directly comparable to those of recombinant KHC motors 21. In vivo, single KHC(1-891)-3×mCit motors showed unidirectional processive motility along linear tracks (Figure 4eh; and see Supplementary Material, Movies 5–7 ). Histograms of the speed and run length demonstrated that Kinesin-1 moved at an average speed of 0.78±0.11μm/s in cells (Figure 4i) and an average run-length of 1.17±0.38μm (Figure 4j). The similarity in motile properties between Kinesin-1 in vitro and in vivo demonstrates that Kinesin-1 activity is neither upregulated in cells nor hindered by macromolecular crowding along the microtubule track.
We developed and validated a new, powerful method for in vivo single molecule imaging. Our work clearly proves that it is possible to track individual, genetically labeled molecules in the cytoplasm of mammalian cells with high spatial and temporal resolution. For the experimental conditions used in this report, we achieve single molecule recordings in vivo with frame rates up to 100Hz. Fitting of Gaussian functions to diffraction-limited fluorescent spots yields a spatial resolution of ∼20nm at frame rates of 30Hz. Our data also suggest that spatial and temporal resolutions are not limited by the in vivo background fluorescence, but are determined by the tradeoff between the rate of photobleaching and fluorescence emission intensity at various excitation levels.
As a biological model system, we characterized the movement of single Kinesin-1 motor molecules in COS cells. Past research on the biochemical and structural properties of Kinesin-1, together with various single molecule assays using purified motors in vitro, has revealed detailed mechanistic insights into Kinesin-1 function 21, yet these biophysical advances contributed little to understanding kinesin's role in intracellular transport. Our work is aimed at closing the gap between the single molecule biophysical properties of Kinesin-1 in vitro and the cellular functions of Kinesin-1 in vivo. Toward this end, we provide the first direct observations and analysis of the motile properties of a single molecular motor in vivo. We reveal a remarkable consistency between the motility of Kinesin-1 in living cells and in reconstituted in vitro assays using purified components. This result has two important implications for the study of molecular motors in intracellular transport. First, our work suggests that neither cellular factors present in vivo nor macromolecular crowding on the microtubule track hinder the motility of Kinesin-1. This conclusion is broadly in agreement with in vitro experiments on the processive movement of individual kinesins on crowded microtubules 22. Second, this work provides an important step beyond previous live cell studies where entire organelles with uncertain motor composition were tracked as indirect reporters of motor activity 1,11,13,23 or where semiconductor quantum dots sparsely labeled with recombinant Kinesin-1 were introduced into cells 10. The latter experiments, in particular, could confirm neither the tracking of single kinesin molecules, the precise labeling stoichiometry, nor the activity of the recombinant motors.
It is interesting to note that previous live cell studies have demonstrated that various organelles and vesicles move with speeds in vivo that are often significantly higher than the in vitro velocities of kinesin motors 13,24,25. Our work rules out the possibility that the fast organelle and vesicle speeds observed in vivo are due to increased speed of Kinesin-1 motors in vivo. An alternative hypothesis 13, that multiple motors cooperate to produce increased speeds for intracellular transport, cannot be ruled out by our data. However, since single motors and multiple motors show identical speeds in vitro 26, the fact that single motors behave identically in vivo as in vitro leads to the logical hypothesis that multiple motors will also move with identical speed in vivo. Indeed, existing experimental and theoretical work 27,28,29,30,31 provides strong evidence that it is the forces of cooperatively interacting Kinesin-1 motors that sum. We currently favor the hypothesis that the fast velocities of organelles and vesicles are due to the presence of different kinesin family members with distinct kinetic properties and/or cooperativity between multiple motors, including different actin and microtubule-based motors, on the same vesicle 13,23,32. Since it is still unknown for most organelles which motor(s) is (are) responsible for the observed cellular motility, identifying the species and numbers of motors associated with a specific cargo is an important goal for future experiments.
In conclusion, our results demonstrate for the first time the direct tracking of single molecules in the cytoplasm of living cells with high temporal and spatial resolutions (Figure 2 and Figure 4; and see Supplementary Material, Movies 2, 5, 6, and 7 ). By using genetically engineered tandem FP tags with improved fluorescence properties, this work has broad applications to the analysis of a wide variety of cytoplasmic events without the requirements of plasma membrane localization 1,2 or special labeling methods 8 and creates unique opportunities to investigate how single molecules work in living cells. Continual improvements in the photophysical properties (like quantum yield, stability, and bleaching) of fluorescent proteins are likely to make it possible to track multiple proteins simultaneously. In addition, our work shows that the tandem FP tags enable in vitro analysis of mammalian-expressed proteins. Furthermore, the standard deviation maps provide a novel way to characterize multiple infrequent events that occur within a specific subcellular locale. By combining single molecule biophysical and cell biological approaches, our work opens now unique opportunities to address how individual molecules work and interact in living cells.
We thank A. Hoppe, T. Rapoport, and J Swanson for stimulating discussions and reading of the article, and Y. Goldman for his generous release of an ImageJ plug-in for Gaussian function fitting.
This work was supported in part by National Institutes of Health, National Science Foundation, and Defense Advanced Research Projects Agency grants to E.M. and K.J.V.
An online supplement to this article can be found by visiting BJ Online at http://www.biophysj.org.
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