Benjamien Moeyaert

An engineered ClyA nanopore detects folded target proteins by selective external association and pore entry.

Nanopores have been used in label-free single-molecule studies, including investigations of chemical reactions, nucleic acid analysis, and applications in sensing. Biological nanopores generally perform better than artificial nanopores as sensors, but they have disadvantages including a fixed diameter. Here we introduce a biological nanopore ClyA that is wide enough to sample and distinguish large analyte proteins, which enter the pore lumen. Remarkably, human and bovine thrombins, despite 86% sequence identity, elicit characteristic ionic current blockades, which at -50 mV differ in their main current levels by 26 ± 1 pA. The use of DNA aptamers or hirudin as ligands further distinguished the protein analytes. Finally, we constructed ClyA nanopores decorated with covalently attached aptamers. These nanopores selectively captured and internalized cognate protein analytes but excluded noncognate analytes, in a process that resembles transport by nuclear pores.

Rational Design of Photoconvertible and Biphotochromic Fluorescent Proteins for Advanced Microscopy Applications

Advanced fluorescence imaging, including subdiffraction microscopy, relies on fluorophores with controllable emission properties. Chief among these fluorophores are the photoactivatable fluorescent proteins capable of reversible on/off photoswitching or irreversible green-to-red photoconversion. IrisFP was recently reported as the first fluorescent protein combining these two types of phototransformations. The introduction of this protein resulted in new applications such as super-resolution pulse-chase imaging. However, the spectroscopic properties of IrisFP are far from being optimal and its tetrameric organization complicates its use as a fusion tag. Here, we demonstrate how four-state optical highlighting can be rationally introduced into photoconvertible fluorescent proteins and develop and characterize a new set of such enhanced optical highlighters derived from mEosFP and Dendra2. We present in particular NijiFP, a promising new fluorescent protein with photoconvertible and biphotochromic properties that make it ideal for advanced fluorescence-based imaging applications.

Data storage based on photochromic and photoconvertible fluorescent proteins

The recent discovery of photoconvertible and photoswitchable fluorescent proteins (PCFPs and RSFPs, respectively) that can undergo photoinduced changes of their absorption/emission spectra opened new research possibilities in subdiffraction microscopy and optical data storage. Here we demonstrate the proof-of-principle for read only and rewritable data storage both in 2D and 3D, using PCFPs and RSFPs. The irreversible burning of information was achieved by photoconverting from green to red defined areas in a layer of the PCFP Kaede. Data were also written and erased several times in layers of the photochromic fluorescent protein Dronpa. Using IrisFP, which combines the properties of PCFPs and RSFPs, we performed the first encoding of data in four colours using only one type of fluorescent protein. Finally, three-dimensional optical data storage was demonstrated using three mutants of EosFP (d1EosFP, mEosFP and IrisFP) in their crystalline form. Two-photon excitation allowed the precise addressing of regions of interest (ROIs) within the three-dimensional crystalline matrix without excitation of out-of-focus optical planes. Hence, this contribution highlights several data storage schemes based on the remarkable properties of PCFPs/RSFPs.

Green-to-red photoconvertible Dronpa mutant for multimodal super-resolution fluorescence microscopy

Advanced imaging techniques crucially depend on the labels used. In this work, we present the structure-guided design of a fluorescent protein that displays both reversibly photochromic and green-to-red photoconversion behavior. We first designed ffDronpa, a mutant of the photochromic fluorescent protein Dronpa that matures up to three times faster while retaining its interesting photochromic features. Using a combined evolutionary and structure-driven rational design strategy, we developed a green-to-red photoconvertible ffDronpa mutant, called pcDronpa, and explored different optimization strategies that resulted in its improved version, pcDronpa2. This fluorescent probe combines a high brightness with low photobleaching and photoblinking. We herein show that, despite its tetrameric nature, pcDronpa2 allows for multimodal subdiffraction imaging by sequentially imaging a given sample using both super-resolution fluctuation imaging and localization microscopy.

Revealing the Excited-State Dynamics of the Fluorescent Protein Dendra2

Green-to-red photoconversion is a reaction that occurs in a limited number of fluorescent proteins and that is currently mechanistically debated. In this contribution, we report on our investigation of the photoconvertible fluorescent protein Dendra2 by employing a combination of pump-probe, up-conversion and single photon timing spectroscopic techniques. Our findings indicate that upon excitation of the neutral green state an excited state proton transfer proceeds with a time constant of 3.4 ps between the neutral green and the anionic green states. In concentrated solution we detected resonance energy transfer (25 ps time constant) between green and red monomers. The time-resolved emission spectra suggest also the formation of a super-red species, first observed for DsRed (a red fluorescent protein from the corallimorph species Discosoma) and consistent with peculiar structural details present in both proteins.

Model-free uncertainty estimation in stochastical optical fluctuation imaging (SOFI) leads to a doubled temporal resolution.

Stochastic optical fluctuation imaging (SOFI) is a super-resolution fluorescence imaging technique that makes use of stochastic fluctuations in the emission of the fluorophores. During a SOFI measurement multiple fluorescence images are acquired from the sample, followed by the calculation of the spatiotemporal cumulants of the intensities observed at each position. Compared to other techniques, SOFI works well under conditions of low signal-to-noise, high background, or high emitter densities. However, it can be difficult to unambiguously determine the reliability of images produced by any superresolution imaging technique. In this work we present a strategy that enables the estimation of the variance or uncertainty associated with each pixel in the SOFI image. In addition to estimating the image quality or reliability, we show that this can be used to optimize the signal-to-noise ratio (SNR) of SOFI images by including multiple pixel combinations in the cumulant calculation. We present an algorithm to perform this optimization, which automatically takes all relevant instrumental, sample, and probe parameters into account. Depending on the optical magnification of the system, this strategy can be used to improve the SNR of a SOFI image by 40% to 90%. This gain in information is entirely free, in the sense that it does not require additional efforts or complications. Alternatively our approach can be applied to reduce the number of fluorescence images to meet a particular quality level by about 30% to 50%, strongly improving the temporal resolution of SOFI imaging.

Structural basis for the influence of a single mutation K145N on the oligomerization and photoswitching rate of Dronpa.

The crystal structure of the on-state of PDM1-4, a single-mutation variant of the photochromic fluorescent protein Dronpa, is reported at 1.95 Å resolution. PDM1-4 is a Dronpa variant that possesses a slower off-switching rate than Dronpa and thus can effectively increase the image resolution in subdiffraction optical microscopy, although the precise molecular basis for this change has not been elucidated. This work shows that the Lys145Asn mutation in PDM1-4 stabilizes the interface available for dimerization, facilitating oligomerization of the protein. No significant changes were observed in the chromophore environment of PDM1-4 compared with Dronpa, and the ensemble absorption and emission properties of PDM1-4 were highly similar to those of Dronpa. It is proposed that the slower off-switching rate in PDM1-4 is caused by a decrease in the potential flexibility of certain β-strands caused by oligomerization along the AC interface.

Molecular Dynamic Indicators of the Photoswitching Properties of Green Fluorescent Proteins

Reversibly photoswitchable fluorescent proteins (RSFPs) are highly useful probes for a range of applications including diffraction-unlimited fluorescence microscopy. It was previously shown that reversible photoswitching not only involves cis-trans isomerization and protonation-deprotonation of the chromophore but also results in a marked difference in β-barrel flexibility. In this work, we performed flexibility profiling and functional mode analysis (FMA) using molecular dynamics calculations to study how the flexibility of the RSFP β-barrel influences the photoswitching properties of several fluorescent proteins. We also used Partial Least-Squared (PLS) FMA to detect promising mutation sites for the modulation of photoswitching properties of RSFPs. Our results show that the flexibility of RSFP does depend on its state with a systematically higher flexibility in the dark state compared to the bright state. In particular our method highlights the importance of Val157 in Dronpa, which upon mutation yields a striking difference in the collective motions of the two mutants. Overall, we show that PLS-FMA yields information, complementary to static structures, that can guide the rational design of fluorescent proteins.

Diffraction‐Unlimited Fluorescence Microscopy of Living Biological Samples Using pcSOFI

The complex microscopic nature of many live biological processes is often obscured by the diffraction limit of light, requiring diffraction‐unlimited fluorescence microscopy to resolve them. Because of the vast range of different processes that can be studied, sub‐diffraction imaging should work efficiently under many different conditions. Photochromic stochastic optical fluctuation imaging (pcSOFI) is a recent addition to the field of diffraction‐unlimited fluorescence microscopy. This robust and versatile method employs a statistical analysis of random fluctuations in the emission of single labels, in this case reversibly switchable fluorescent proteins (RSFPs), to retrieve super‐resolution information. Added to the resolution enhancement, pcSOFI also offers contrast enhancement and background reduction in a practical and convenient way. Here, we describe the necessary steps to obtain diffraction‐unlimited images, including multicolor and three‐dimensional imaging, and highlight the advantages of pcSOFI together with the circumstances under which pcSOFI can be favorably applied.

Structures of states of a photoconvertible and photoswitchable fluorescent protein engineered from Dronpa

The structures of several states of a new photoconvertible and photoswitchable fluorescent protein (FP) engineered from Dronpa [1], called pcDronpa (photoconvertible Dronpa), were determined. Like IrisFP [2] and NijiFP [3], pcDronpa possesses both photoconvertible and photoswitching properties. However, pcDronpa shows the success of introducing photoconvertibility into the photoswichable FP. The green fluorescent state (green-on state) of pcDronpa can switch reversibly to the nonfluorescent state (green-off state) by illumination with 488-nm and 405-nm light, respectively. The structural basis for this switching was proven by the crystal structure determination of the green-on and green-off states. The photoswitching of pcDronpa is as expected not different from that of Dronpa [4], because there is no alternation in the part of the chromophore responsible for the photoswitching, as well as in its proximate environment. Remarkably, pcDronpa can also convert to the red fluorescent state (red-on state) by illumination with 405-nm light. This property was introduced by rationally mutating the chromophore from Cys-Tyr-Gly to His-Tyr-Gly.