Quantitative single-molecule microscopy reveals that CENP-A(Cnp1) deposition occurs during G2 in fission yeast

The inheritance of the histone H3 variant CENP-A in nucleosomes at centromeres following DNA replication is mediated by an epigenetic mechanism. To understand the process of epigenetic inheritance, or propagation of histones and histone variants, as nucleosomes are disassembled and reassembled in living eukaryotic cells, we have explored the feasibility of exploiting photo-activated localization microscopy (PALM). PALM of single molecules in living cells has the potential to reveal new concepts in cell biology, providing insights into stochastic variation in cellular states. However, thus far, its use has been limited to studies in bacteria or to processes occurring near the surface of eukaryotic cells. With PALM, one literally observes and 'counts' individual molecules in cells one-by-one and this allows the recording of images with a resolution higher than that determined by the diffraction of light (the so-called super-resolution microscopy). Here, we investigate the use of different fluorophores and develop procedures to count the centromere-specific histone H3 variant CENP-A(Cnp1) with single-molecule sensitivity in fission yeast (Schizosaccharomyces pombe). The results obtained are validated by and compared with ChIP-seq analyses. Using this approach, CENP-A(Cnp1) levels at fission yeast (S. pombe) centromeres were followed as they change during the cell cycle. Our measurements show that CENP-A(Cnp1) is deposited solely during the G2 phase of the cell cycle

Virtual-'light-sheet' single-molecule localisation microscopy enables quantitative optical sectioning for super-resolution imaging.

Single-molecule super-resolution microscopy allows imaging of fluorescently-tagged proteins in live cells with a precision well below that of the diffraction limit. Here, we demonstrate 3D sectioning with single-molecule super-resolution microscopy by making use of the fitting information that is usually discarded to reject fluorophores that emit from above or below a virtual-'light-sheet', a thin volume centred on the focal plane of the microscope. We describe an easy-to-use routine (implemented as an open-source ImageJ plug-in) to quickly analyse a calibration sample to define and use such a virtual light-sheet. In addition, the plug-in is easily usable on almost any existing 2D super-resolution instrumentation. This optical sectioning of super-resolution images is achieved by applying well-characterised width and amplitude thresholds to diffraction-limited spots that can be used to tune the thickness of the virtual light-sheet. This allows qualitative and quantitative imaging improvements: by rejecting out-of-focus fluorophores, the super-resolution image gains contrast and local features may be revealed; by retaining only fluorophores close to the focal plane, virtual-'light-sheet' single-molecule localisation microscopy improves the probability that all emitting fluorophores will be detected, fitted and quantitatively evaluated.We thank the Wellcome Trust for the PhD studentship of MP (093756/B/10/Z), and the Royal Society for the University Research Fellowship of SFL (UF120277). The work by SB and DL was also funded by the Wellcome Trust (082010/Z/07/Z). UE and MH acknowledge funding by the German Science Foundation (grants EXC 115 and SFB 902). SB is funded by a BBSRC grant (BB/K013726/1). AMC acknowledges ERC Award 268788-SMI-DDR. We also thank the European Commision for support through the 4DCellFate project (EC FP7 CP 277899).This is the final version of the article. It first appeared from PLOS via http://dx.doi.org/10.1371/journal.pone.012543

Correlative Light- and Electron Microscopy with chemical tags

AbstractCorrelative microscopy incorporates the specificity of fluorescent protein labeling into high-resolution electron micrographs. Several approaches exist for correlative microscopy, most of which have used the green fluorescent protein (GFP) as the label for light microscopy. Here we use chemical tagging and synthetic fluorophores instead, in order to achieve protein-specific labeling, and to perform multicolor imaging. We show that synthetic fluorophores preserve their post-embedding fluorescence in the presence of uranyl acetate. Post-embedding fluorescence is of such quality that the specimen can be prepared with identical protocols for scanning electron microscopy (SEM) and transmission electron microscopy (TEM); this is particularly valuable when singular or otherwise difficult samples are examined. We show that synthetic fluorophores give bright, well-resolved signals in super-resolution light microscopy, enabling us to superimpose light microscopic images with a precision of up to 25nm in the x–y plane on electron micrographs. To exemplify the preservation quality of our new method we visualize the molecular arrangement of cadherins in adherens junctions of mouse epithelial cells

Coordinate-based co-localization-mediated analysis of arrestin clustering upon stimulation of the C-C chemokine receptor 5 with RANTES/CCL5 analogues

G protein-coupled receptor activation and desensitization leads to recruitment of arrestin proteins from cytosolic pools to the cell membrane where they form clusters difficult to characterize due to their small size and further mediate receptor internalization. We quantitatively investigated clustering of arrestin 3 induced by potent anti-HIV analogues of the chemokine RANTES after stimulation of the C-C chemokine receptor 5 using single-molecule localization-based super-resolution microscopy. We determined arrestin 3 cluster sizes and relative fractions of arrestin 3 molecules in each cluster through image-based analysis of the localization data by adapting a method originally developed for co-localization analysis from molecular coordinates. We found that only classical agonists in the set of tested ligands were able to efficiently recruit arrestin 3 to clusters mostly larger than 150nm in size and compare our results with existing data on arrestin 2 clustering induced by the same chemokine analogues

Quantitative localization based super resolution microscopy : concepts and applications

Endesfelder U. Quantitative localization based super resolution microscopy : concepts and applications. Bielefeld; 2012

Studying Large Multi-Protein Complexes Using Single Molecule Localization Microscopy

Biology would not be where it is today without fluorescence microscopy. It is arguably one of the most commonly used tools in the biologists toolbox and it has helped scientists study the localization of cellular proteins and other small things for decades, but it is not without its limitations. Due to the diffraction limit, conventional fluorescence microscopy is limited to micrometer-range structures. Science has long relied upon electron microscopy and X-ray crystallography to study phenomena that occur below this limit. However, many of lifes processes occur between these two spatial domains. Super-resolution microscopy, the next stage of evolution of fluorescence microscopy, has the potential to bridge this gap between micro and nano. It combines superior resolutions of down to a few nanometers with the ability to view objects in their natural environments. It is the ideal tool for studying the large, multi-protein complexes that carry out most of lifes functions, but are too complex and fragile to put on an electron microscope or into a synchrotron. A form of super-resolution microscopy called SMLM Microscopy shows especially high promise in this regard. With its ability to detect individual molecules, it combines the high resolution needed for structural studies with the quantitative readout required for obtaining data on the stoichiometry of multi-protein complexes. This thesis describes new tools which expand the toolbox of SMLM with the specific aim of studying multi-protein complexes. First, the development of a novel fluorescent tagging system that is a mix of genetic tagging and immuno-staining. The system, termed BC2, consists of a short, genetically encodable peptide that is targeted by a nanobody (BC2 nanobody). The system brings several advantages. The small tag is not disruptive to the protein it is attached to and the small nanobody can get into tight spaces, making it an excellent tag for dense multi-protein structures. Next, several new variants of some commonly used green-to-red fluorescent proteins. The novel variants, which can be converted with a combination of blue and infrared light are especially useful for live-cell imaging. The developed fluorescent proteins can also be combined with photo-activatable fluorescent proteins to enable imaging of several targets with the same color protein. Finally, an application of the latter technique to study the multi-protein kinetochore complex and gain first glimpses into its spatial organization and the stoichiometry of its subunits

Diffusion state transitions in single-particle trajectories of MET receptor tyrosine kinase measured in live cells

Single-particle tracking enables the analysis of the dynamics of biomolecules in living cells with nanometer spatial and millisecond temporal resolution. This technique reports on the mobility of membrane proteins and is sensitive to the molecular state of a biomolecule and to interactions with other biomolecules. Trajectories describe the mobility of single particles over time and provide information such as the diffusion coefficient and diffusion state. Changes in particle dynamics within single trajectories lead to segmentation, which allows to extract information on transitions of functional states of a biomolecule. Here, mean-squared displacement analysis is developed to classify trajectory segments into immobile, confined diffusing, and freely diffusing states, and to extract the occurrence of transitions between these modes. We applied this analysis to single-particle tracking data of the membrane receptor MET in live cells and analyzed state transitions in single trajectories of the un-activated receptor and the receptor bound to the ligand internalin B. We found that internalin B-bound MET shows an enhancement of transitions from freely and confined diffusing states into the immobile state as compared to un-activated MET. Confined diffusion acts as an intermediate state between immobile and free, as this state is most likely to change the diffusion state in the following segment. This analysis can be readily applied to single-particle tracking data of other membrane receptors and intracellular proteins under various conditions and contribute to the understanding of molecular states and signaling pathways