Exploring dynamics in living cells by tracking single particles

In the last years, significant advances in microscopy techniques and the introduction of a novel technology to label living cells with genetically encoded fluorescent proteins revolutionized the field of Cell Biology. Our understanding on cell dynamics built from snapshots on fixed specimens has evolved thanks to our actual capability to monitor in real time the evolution of processes in living cells. Among these new tools, single particle tracking techniques were developed to observe and follow individual particles. Hence, we are starting to unravel the mechanisms driving the motion of a wide variety of cellular components ranging from organelles to protein molecules by following their way through the cell. In this review, we introduce the single particle tracking technology to new users. We briefly describe the instrumentation and explain some of the algorithms commonly used to locate and track particles. Also, we present some common tools used to analyze trajectories and illustrate with some examples the applications of single particle tracking to study dynamics in living cells.     

Unsupervised classification of single particles by cluster tracking in multi-dimensional space

In cryo-electron microscopy (cryo-EM) single-particle reconstruction, the heterogeneity of two-dimensional projection image data resulting from the co-existence of different conformational or ligand binding states of a macromolecular complex remains a major obstacle as it impairs the validity of reconstructed density maps and limits the progress toward higher resolution. Classification of cryo-EM data according to the different conformations is difficult because of the coexistence of multiple orientations in a single dataset. Here, we present an unsupervised classification method, termed cluster tracking, which utilizes the continuity in multi-dimensional space induced by angular adjacency of projections in large datasets. In a proof of concept, the testing of cluster tracking on simulated projection data, which were generated from multiple conformations and orientations of an existing volume, produced clusters that are consistent with the conformational identity of the data. The application of the method to experimental cryo-EM projection data is found to result in a partition similar to the one generated by supervised classification.     

Photoswitchable cyan fluorescent protein for protein tracking

In recent years diverse photolabeling techniques using green fluorescent protein (GFP)-like proteins have been reported, including photoactivatable PA-GFP, photoactivatable protein Kaede, the DsRed 'greening' technique and kindling fluorescent proteins. So far, only PA-GFP, which is monomeric and gives 100-fold fluorescence contrast, could be applied for protein tracking. Here we describe a dual-color monomeric protein, photoswitchable cyan fluorescent protein (PS-CFP). PS-CFP is capable of efficient photoconversion from cyan to green, changing both its excitation and emission spectra in response to 405-nm light irradiation. Complete photoactivation of PS-CFP results in a 1,500-fold increase in the green-to-cyan fluorescence ratio, making it the highest-contrast monomeric photoactivatable fluorescent protein described to date. We used PS-CFP as a photoswitchable tag to study trafficking of human dopamine transporter in living cells. At moderate excitation intensities, PS-CFP can be used as a pH-stable cyan label for protein tagging and fluorescence resonance energy transfer applications.     

Nanofluidic structures for single biomolecule fluorescent detection

Fluid-filled nanofabricated cavities can be used to increase the spatial resolution of single molecule confocal microscopy based techniques by creating smaller and more uniformly illuminated probe volumes. Such structures may also be used to temporarily stretch single macromolecules, permitting the resolution of molecular details that would otherwise be beyond the capabilities of a diffraction limited system.     

Biocompatible fluorescent silicon nanocrystals for single-molecule tracking and fluorescence imaging

Fluorescence microscopy is used extensively in cell-biological and biomedical research, but it is often plagued by three major problems with the presently available fluorescent probes: photobleaching, blinking, and large size. We have addressed these problems, with special attention to single-molecule imaging, by developing biocompatible, red-emitting silicon nanocrystals (SiNCs) with a 4.1-nm hydrodynamic diameter. Methods for producing SiNCs by simple chemical etching, for hydrophilically coating them, and for conjugating them to biomolecules precisely at a 1:1 ratio have been developed. Single SiNCs neither blinked nor photobleached during a 300-min overall period observed at video rate. Single receptor molecules in the plasma membrane of living cells (using transferrin receptor) were imaged for ≥10 times longer than with other probes, making it possible for the first time to observe the internalization process of receptor molecules at the single-molecule level. Spatial variations of molecular diffusivity in the scale of 1–2 µm, i.e., a higher level of domain mosaicism in the plasma membrane, were revealed.     

Quantitative comparison of the sensitivity of detection of fluorescent and bioluminescent reporters in animal models

Bioluminescent and fluorescent reporters are finding increased use in optical molecular imaging in small animals. In the work presented here, issues related to the sensitivity of in vivo detection are examined for standard reporters. A high-sensitivity imaging system that can detect steady-state emission from both bioluminescent and fluorescent reporters is described. The instrument is absolutely calibrated so that animal images can be analyzed in physical units of radiance allowing more quantitative comparisons to be performed. Background emission from mouse tissue, called autoluminescence and autofluorescence, is measured and found to be an important limitation to detection sensitivity of reporters. Measurements of dual-labeled (bioluminescent/fluorescent) reporter systems, including PC-3M-luc/DsRed2-1 and HeLa-luc/PKH26, are shown. The results indicate that although fluorescent signals are generally brighter than bioluminescent signals, the very low autoluminescent levels usually results in superior signal to background ratios for bioluminescent imaging, particularly compared with fluorescent imaging in the green to red part of the spectrum. Fluorescence detection sensitivity improves in the far-red to near-infrared, provided the animals are fed a low-chlorophyll diet to reduce autofluorescence in the intestinal region. The use of blue-shifted excitation filters is explored as a method to subtract out tissue autofluorescence and improve the sensitivity of fluorescent imaging.     

Dynamic programming algorithms for restriction map comparison

For most sequence comparison problems there is a correspondingmap comparison algorithm. While map data may appear to be incompatiblewith dynamic programming, we show in this paper that the rigorand efficiency of dynamic programming algorithms carry overto the map comparison algorithms. We present algorithms forrestriction map comparison that deal with two types of map errors:(i) closely spaced sites for different enzymes can be orderedincorrectly, and (ii) closely spaced sites for the same enzymecan be mapped as a single site. The new algorithms are a naturalextension of a previous map comparison model. Dynamic programmingalgorithms for computing optimal global and local alignmentsunder the new model are described. The new algorithms take aboutthe same order of time as previous map comparison algorithms.Programs implementing some of the new algorithms are used tofind similar regions within the Escherichia coli restrictionmap of Kohara et al.     

Cell tracking using a photoconvertible fluorescent protein

The tracking of cell fate, shape and migration is an essential component in the study of the development of multicellular organisms. Here we report a protocol that uses the protein Kaede, which is fluorescent green after synthesis but can be photoconverted red by violet or UV light. We have used Kaede along with confocal laser scanning microscopy to track labeled cells in a pattern of interest in zebrafish embryos. This technique allows the visualization of cell movements and the tracing of neuronal shapes. We provide illustrative examples of expression by mRNA injection, mosaic expression by DNA injection, and the creation of permanent transgenic fish with the UAS-Gal4 system to visualize morphogenetic processes such as neurulation, placode formation and navigation of early commissural axons in the hindbrain. The procedure can be adapted to other photoconvertible and reversible fluorescent molecules, including KikGR and Dronpa; these molecules can be used in combination with two-photon confocal microscopy to specifically highlight cells buried in tissues. The total time needed to carry out the protocol involving transient expression of Kaede by injection of mRNA or DNA, photoconversion and imaging is 2-8 d.     

Bayesian inference for improved single molecule fluorescence tracking

Single molecule tracking is widely used to monitor the change in position of lipids and proteins in living cells. In many experiments in which molecules are tagged with a single or small number of fluorophores, the signal/noise ratio may be limiting, the number of molecules is not known, and fluorophore blinking and photobleaching can occur. All these factors make accurate tracking over long trajectories difficult and hence there is still a pressing need to develop better algorithms to extract the maximum information from a sequence of fluorescence images. We describe here a Bayesian-based inference approach, based on a trans-dimensional sequential Monte Carlo method that utilizes both the spatial and temporal information present in the image sequences. We show, using model data, where the real trajectory of the molecule is known, that our method allows accurate tracking of molecules over long trajectories even with low signal/noise ratio and in the presence of fluorescence blinking and photobleaching. The method is then applied to real experimental data.     

Quantitative microscopy of fluorescent adenovirus entry

Fluorescence imaging of cells is a powerful tool for exploring the dynamics of organelles, proteins, and viruses. Fluorescent adenoviruses are a model system for cargo transport from the cell surface to the nucleus. Here, we describe a procedure to quantitate adenovirus-associated fluorescence in different subcellular regions. CCD camera-captured fluorescence sections across entire cells were deblurred by a fast Fourier transformation, the background was subtracted images merged, and virus fluorescence quantitated. The validity of the deblurring routine was verified by confocal laser scanning microscopy, demonstrating that objects were neither generated nor deleted. Instead, the homogeneity of both the average intensity and the size of fluorescent particles was increased, facilitating automated quantification. We found that nuclear fluorescence of wt adenovirus, but not of a virus mutant ts1, which fails to escape from endosomes, was maximal at 90 min postinfection (p.i.). Surprisingly, nuclear fluorescence decreased at 120 min, but increased again at 240 min p.i., suggesting that wt virus targeting to the nucleus may be multiphasic and regulated. Interestingly, only the first nuclear transport period of wt but not ts1 virus coincided with a significant increase of the peripheral and decrease of the cytoplasmic regions, indicative of signal-dependent cell contraction.     

Aldehyde fixation of thiol-reactive fluorescent cytoplasmic probes for tracking cell migration.

Tracking of cell migration plays an important role in the study of morphogenesis, inflammation, and metastasis. The recent development of probes that exist as intracellular peptide-fluorescence dye adducts has offered the possibility of aldehyde fixation of these dyes for detailed anatomic studies of lymphocyte trafficking. To define the conditions for fixation of these cytoplasmic fluorescent probes, we compared fixation conditions containing formaldehyde, glutaraldehyde, paraformaldehyde, zinc formaldehyde, and glyoxylate, as well as fixation by quick-freezing in liquid nitrogen-cooled methylbutane. The efficacy of aldehyde fixation of the cell fluorescence was assessed by quantitative tissue cytometry and flow cytometry. We studied cytoplasmic fluorescent dyes with discrete emissions in the green [5-chloromethylfluorescein diacetate (CMFDA); 492 ex, 516 em] and orange [5-(and-6)-(4-chloromethyl(benzoyl)amino) tetramethylrhodamine (CMTMR); 540 ex, 566 em] spectra. The results demonstrated that aldehyde fixation preserved cell fluorescence for more than 6 months. The primary difference between the aldehyde fixatives was variability in the difference between the yield of the cell fluorescence and the relevant background fluorescence. Formaldehyde and paraformaldehyde were superior to the other fixatives in preserving cell fluorescence while limiting background fluorescence. With these fixatives, both the CMFDA and CMTMR fluorescent dyes permitted sufficient anatomic resolution for reliable localization in long-term cell tracking studies.     

Probing functionalized gold colloids for single particle tracking experiments

Functionalized submicroscopic particles are currently used to label proteins or lipids at the surface of living cells for single particle tracking experiments. In many cases, it can be of crucial importance for the particle to be anchored to a single molecule. We have addressed this question for the labeling at the plasma membrane of NRK cells of the mu-opioid receptor bearing a T7 epitope at the N-terminus. Using biophysical methods we were able to prepare quasi-monovalent anti-T7 antibody conjugated gold colloids (40 nm diameter) leading to stable and specific binding to the receptor. The rational method, we report here, can be extended to design customized probes for the labeling of various tagged molecules.     

Tracking of single fluorescent particles in three dimensions: use of cylindrical optics to encode particle position.

We present a novel optical technique for three-dimensional tracking of single fluorescent particles using a modified epifluorescence microscope containing a weak cylindrical lens in the detection optics and a microstepper-controlled fine focus. Images of small, fluorescent particles were circular in focus but ellipsoidal above and below focus; the major axis of the ellipsoid shifted by 90 degrees in going through focus. Particle z position was determined from the image shape and orientation by applying a peak detection algorithm to image projections along the x and y axes; x, y position was determined from the centroid of the particle image. Typical spatial resolution was 12 nm along the optical axis and 5 nm in the image plane with a maximum sampling rate of 3-4 Hz. The method was applied to track fluorescent particles in artificial solutions and living cells. In a solution of viscosity 30 cP, the mean squared distance (MSD) traveled by a 264 nm diameter rhodamine-labeled bead was linear with time to 20 s. The measured diffusion coefficient, 0.0558 +/- 0.001 micron2/s (SE, n = 4), agreed with the theoretical value of 0.0556 micron2/s. Statistical variability of MSD curves for a freely diffusing bead was in quantitative agreement with Monte Carlo simulations of three-dimensional random walks. In a porous glass matrix, the MSD data was curvilinear and showed reduced bead diffusion. In cytoplasm of Swiss 3T3 fibroblasts, bead diffusion was restricted. The water permeability in individual Chinese Hamster Ovary cells was measured from the z movement of a fluorescent bead fixed at the cell surface in response osmotic gradients; water permeability was increased by > threefold in cells expressing CHIP28 water channels. The simplicity and precision of this tracking method may be useful to quantify the complex trajectories of fluorescent particles in living cells.     

Quantitative measurement of green fluorescent protein expression

Summary Data presented here shows a time course analysis of E. coli shake flask cultures expressing the reporter gene green fluorescent protein (GFP) with simultaneous comparison of microbial fluorescence intensity measurements and GFP concentration measured by Western blot. There is an apparent lag between the presence of GFP and its fluorescence due to the time required for formation of the chromophore. We demonstrate that GFP fluorescence can be used as a quantifiable reporter gene, provided the cyclization time for chromophore formation is considered.     

Focal pair merging for contrast enhancement of single particles

A common technique in transmission electron microscopy is the collection of a focal pair, in which the first, close to focus image contains higher resolution information at lower contrast, and the second, far from focus image has high contrast but less reliable high-resolution information. Typically these second micrographs are used for purposes of particle selection, orientation estimate or micrograph evaluation. We introduce a technique for merging the information from both images, including signal to noise ratio weighting, contrast transfer function correction, and optional Weiner filtration. This produces a composite image with reduced contrast transfer function artifacts and optimized contrast. This technique is useful in numerous cases where low-contrast images are produced, such as small particles, proteins solubilized in detergent or projects with high-resolution goals when the first image is taken very close to focus.     

Silver particles enhance emission of fluorescent DNA oligomers

Here we describe a new opportunity in methodology for increasing the detectability of fluorescently labeled DNA on solid substrates. We show that the use of glass substrates coated with metallic silver particles results in an approximate 5-fold increase in the intensity of Cy3- or Cy5-labeled DNA oligomers. Proximity to these silver particles also increases the photostability of Cy3- and Cy5-labeled oligomers. These results suggest the use of DNA array substrates with silver particles for increased sensitivity in genetic analysis.     

A comparison of phasing algorithms for trios and unrelated individuals

Knowledge of haplotype phase is valuable for many analysis methods in the study of disease, population, and evolutionary genetics. Considerable research effort has been devoted to the development of statistical and computational methods that infer haplotype phase from genotype data. Although a substantial number of such methods have been developed, they have focused principally on inference from unrelated individuals, and comparisons between methods have been rather limited. Here, we describe the extension of five leading algorithms for phase inference for handling father-mother-child trios. We performed a comprehensive assessment of the methods applied to both trios and to unrelated individuals, with a focus on genomic-scale problems, using both simulated data and data from the HapMap project. The most accurate algorithm was PHASE (v2.1). For this method, the percentages of genotypes whose phase was incorrectly inferred were 0.12%, 0.05%, and 0.16% for trios from simulated data, HapMap Centre d'Etude du Polymorphisme Humain (CEPH) trios, and HapMap Yoruban trios, respectively, and 5.2% and 5.9% for unrelated individuals in simulated data and the HapMap CEPH data, respectively. The other methods considered in this work had comparable but slightly worse error rates. The error rates for trios are similar to the levels of genotyping error and missing data expected. We thus conclude that all the methods considered will provide highly accurate estimates of haplotypes when applied to trio data sets. Running times differ substantially between methods. Although it is one of the slowest methods, PHASE (v2.1) was used to infer haplotypes for the 1 million-SNP HapMap data set. Finally, we evaluated methods of estimating the value of r(2) between a pair of SNPs and concluded that all methods estimated r(2) well when the estimated value was >or=0.8.     

Two-photon thermal bleaching of single fluorescent molecules

We have studied the fluorescence emission by two-photon excitation of four dyes widely used for bioimaging studies, rhodamine 6G, fluorescein, pyrene and indo-1 at the single molecule level. The single dye molecules, spread on a glass substrate by spin coating, show a constant fluorescence output until a sudden transition to a dark state very close to the background. The bleaching time that is found to vary in the series pyrene, indo-1, fluorescein and rhodamine 6G from the fastest to the slowest one respectively, has a Gaussian distribution indicating that the observed behavior is not due to photobleaching. Moreover, the bleaching time decreases with the glass substrate temperature reaching a vanishing nonmeasurable value for a limiting temperature whose value is found in the same series as for the bleaching time, from the lowest to the highest temperature respectively. The observed bleaching shows a clear correlation to the amount of absorbed power not reirradiated as fluorescence and to the complexity of the molecule. These observations are interpreted as thermal bleaching where the temperature increase is induced by the two-photon absorption of the single dyes as confirmed also by numerical simulations.