Biology subjects

Chiantia, S.

Publications and source records attributed to Chiantia, S..

18 recordsLinked to original sources

bioRxiv2025

Interactions Between Hantavirus Nucleoprotein and Glycoproteins: a quantitative fluorescence microscopy study

Orthohantaviruses (HV) are tri-segmented negative-sense RNA viruses that can occasionally cause severe pathologies in humans. Currently, limited information exists on the molecular interactions driving HV assembly in infected cells. Specifically, it is not clear how its glycoproteins (Gn and Gc) interact with other viral or host molecules. In this study, we use one- and two-color Number & Brightness fluorescence microscopy approaches to quantitatively characterize the interactions between HV glycoproteins and the nucleoprotein NP in transfected cells. Our results indicate that HV NP homo-interactions are strongly affected by the host environment. Furthermore, we report evidence of Gc-NP interactions, based on i) the high fluorescence cross-correlation between these two proteins and ii) the increased Gc-Gc interactions observed in the presence of NP. Finally, experiments on a Gc deletion mutant suggest that the observed protein-protein interactions are mediated by the cytoplasmic tail of Gc. In conclusion, this study provides new insights into the role of the interactions between HV glycoproteins and NP in the context of HV assembly.

biophysics↗

bioRxiv2025

Anionic Phospholipids Modulate Hepatitis C Virus Core Protein Assembly on Lipid Membranes

Hepatitis C virus (HCV) genome codes for various proteins essential to its replication cycle. Among these, the core protein (HCC) forms the capsid via organised multimerization, thereby guiding viral assembly. This process depends on the dynamic localisation of HCC between the endoplasmic reticulum bilayer membrane and the lipid droplet monolayer. While past studies have examined the role of some HCC structural properties and other viral and host proteins in the assembly process, the contribution of lipid molecules was not thoroughly investigated yet. Since specific lipids are upregulated during HCV infection, it is reasonable that these molecules might play an important role for virus fitness and infection progression. In this study, we have addressed this topic and, specifically, how HCC-lipid interactions might impact HCC-HCC interactions. Using in vitro models and quantitative fluorescence microscopy techniques, we investigated HCC binding affinity to lipid membranes, multimerization and lateral diffusivity. Our results reveal the effect of HCC interactions with anionic phospholipids (PLs) on the binding to monolayers and bilayers. Furthermore, our analysis shows that PI(4)P enhances HCC multimerization and, therefore, might drive lateral assembly for capsid formation. These results not only provide insights into the lipid-driven regulation of HCV assembly and identify anionic PLs as potential modulators of the viral replications cycle, but also highlight a previously unrecognised role of PL composition in HCC-membrane interaction. SignificanceHepatitis C virus (HCV) remains a major global health challenge and is associated with substantial mortality. In certain regions, HCV infection reaches epidemic proportions. Despite its prevalence, targeted and cost-effective therapeutic options remain limited, largely due to an incomplete understanding of the viral life cycle. A critical - yet poorly characterized - step in this cycle is the assembly of the HCV core (HCC) protein into the viral capsid, which is essential for replication. Here, we use quantitative fluorescence microscopy to investigate the role of specific lipid species in HCC assembly on model membranes. Our findings show that distinct lipid environments modulate HCC assembly and that HCC, in turn, induces measurable changes in the biophysical properties of the host membrane.

biophysics↗

bioRxiv2024

Challenges in the Accurate Modelling of Lipid Dynamics in Monolayers and Bilayers

Recent advances in hydrodynamic theory have revealed the severe effect of periodic boundary conditions (PBCs) on the diffusive dynamics of lipid membranes in molecular dynamics simulations. Even when accounting for PBC effects, the corrected lipid diffusion coefficients often severely overshoot the experimental estimates. Here, we investigate the underlying reasons for the exaggerated dynamics, and suggest potential ways for improvement. To this end, we examine the diffusion of four lipid types in both bilayers and monolayers using the CHARMM36 force field. We account for PBC effects using the full hydrodynamic treatment: for bilayers we use non-equilibrium simulations to extract the interleaflet friction parameter used in the correction; whereas monolayer hydrodynamics are treated by setting this parameter to zero. Our results suggest that the dynamics of bilayers are too fast, even if interleaflet friction is accounted for. However, the change of the water model to OPC leads to an excellent agreement with experiments. For monolayers, the dynamics with the TIP3P water model agree well with experiments, whereas they are undershot with OPC. As OPC and TIP3P differ in both shear viscosity and surface tension, we develop two new mass-scaled water models to clarify the roles of the thermodynamic and kinetic properties of the water model on lipid dynamics. Our results indicate that both of these quantities play a major role in lipid dynamics. Moreover, it seems that the accurate description of diffusion in both lipid bilayers and monolayers cannot be accounted for by changes in the water model alone, but likely also requires modifications in the lipid model.

biophysics↗

bioRxiv2024

Antiviral Mechanisms and Preclinical Evaluation of Amantadine Analogs that Continue to Inhibit Influenza A Viruses with M2 S31N-Based Drug Resistance

To better manage seasonal and pandemic influenza infections, new drugs are needed with enhanced activity against contemporary amantadine- and rimantadine-resistant influenza A virus (IAV) strains containing the S31N variant of the viral M2 ion channel (M2S31N). Here we tested 36 amantadine analogs against a panel of viruses containing either M2S31N or the parental, M2 S31 wild-type variant (M2WT). We found that several analogs, primarily those with sizeable lipophilic adducts, inhibited up to three M2S31N-containing viruses with activities at least 5-fold lower than rimantadine, without inhibiting M2S31N proton currents or modulating endosomal pH. While M2WT viruses in passaging studies rapidly gained resistance to these analogs through the established M2 mutations V27A and/or A30T, resistance development was markedly slower for M2S31N viruses and did not associate with additional M2 mutations. Instead, a subset of analogs, exemplified by 2-propyl-2-adamantanamine (38), but not 2-(1-adamantyl)piperidine (26), spiro[adamantane-2,2-pyrrolidine] (49), or spiro[adamantane-2,2-piperidine] (60), inhibited cellular entry of infectious IAV following pre-treatment and/or H1N1 pseudovirus entry. Conversely, an overlapping subset of the most lipophilic analogs including compounds 26, 49, 60, and others, disrupted viral M2-M1 protein colocalization required for intracellular viral assembly and budding. Finally, a pilot toxicity study in mice demonstrated that 38 and 49 were tolerated at doses approaching those of amantadine. Together, these results indicate that amantadine analogs act on multiple, complementary mechanisms to inhibit replication of M2S31N viruses. Highlights- Current IAVs have M2 mutations that confer resistance to amantadine and rimantadine - Several amantadine analogs inhibit these viruses without acting on M2 proton currents - Alternative antiviral targets include IAV entry and M2-M1 protein colocalization - Amantadine analogs are also tolerated in mice - Future amantadine antivirals could simultaneously act on multiple IAV mechanisms

microbiology↗

bioRxiv2024

A comparison of lipid diffusive dynamics in monolayers and bilayers in the context of interleaflet coupling

Cellular membranes are composed of lipids typically organized in a double-leaflet structure. Interactions between these two leaflets - often referred to as interleaflet coupling - play a crucial role in various cellular processes. Despite extensive study, the mechanisms governing such interactions remain incompletely understood. Here, we investigate the effects of interleaflet coupling from a specific point of view, i.e. by comparing diffusive dynamics in bilayers and monolayers, focusing on potential lipid-specific interactions between opposing leaflets. Through quantitative fluorescence microscopy techniques, we characterize lipid diffusion and mean molecular area in monolayers and bilayers composed of different lipids. Our results suggest that the observed decrease in bilayer lipid diffusion compared to monolayers depends on lipid identity. Furthermore, our analysis suggests that lipid acyl chain structure and spatial configuration at the bilayer may strongly influence interleaflet interactions and dynamics in bilayers. These findings provide insights into the role of lipid structure in mediating interleaflet coupling and underscore the need for further experimental investigations to elucidate the underlying mechanisms.

biophysics↗

bioRxiv2023

Influenza A virus infection alters lipid packing and surface electrostatic potential of the host plasma membrane

The pathogenesis of influenza A viruses (IAVs) is influenced by several factors, including IAV strain origin and reassortment, tissue tropism and host type. While such factors were mostly investigated in the context of virus entry, fusion and replication, little is known about the viral-induced changes to the host lipid membranes which might be relevant in the context of virion assembly. In this work, we applied several biophysical fluorescence microscope techniques (i.e., Forster energy resonance transfer, generalized polarization imaging and scanning fluorescence correlation spectroscopy) to quantify the effect of infection by two IAV strains of different origin on the plasma membrane (PM) of avian and human cell lines. We found that IAV infection affects the membrane charge of the inner leaflet of the PM. Moreover, we showed that IAV infection impacts lipid-lipid interactions by decreasing membrane fluidity and increasing lipid packing. Because of such alterations, diffusive dynamics of membrane-associated proteins are hindered. Taken to-gether, our results indicate that the infection of avian and human cell lines with IAV strains of different origins had similar effects on the biophysical properties of the PM.

biophysics↗

bioRxiv2023

Benchmarking of novel green fluorescent proteins for the quantification of protein oligomerization in living cells

Protein-protein-interactions play an important role in several cellular functions. Quantitative non-invasive techniques are applied in living cells to evaluate such interactions, thereby providing a broader understanding of complex biological processes. Fluorescence fluctuation spectroscopy describes a group of quantitative microscopy approaches for the characterization of molecular interactions at single cell resolution. Through the obtained molecular brightness, it is possible to determine the oligomeric state of proteins. This is usually achieved by fusing fluorescent proteins (FPs) to the protein of interest. Recently, the number of novel green FPs has increased, with consequent improvements to the quality of fluctuation-based measurements. The photophysical behavior of FPs is influenced by multiple factors (including photobleaching, protonation-induced "blinking" and long-lived dark states). Assessing these factors is critical for selecting the appropriate fluorescent tag for live cell imaging applications. In this work, we focus on novel green FPs that are extensively used in live cell imaging. A systematic performance comparison of several green FPs in living cells under different pH conditions using Number & Brightness (N&B) analysis and scanning fluorescence correlation spectroscopy was performed. Our results show that the new FP Gamillus exhibits higher brightness at the cost of lower photostability and fluorescence probability (pf), especially at lower pH. mGreenLantern, on the other hand, thanks to a very high pf, is best suited for multimerization quantification at neutral pH. At lower pH, mEGFP remains apparently the best choice for multimerization investigation. These guidelines provide the information needed to plan quantitative fluorescence microscopy involving these FPs, both for general imaging or for Protein-protein-interactions quantification via fluorescence fluctuation-based methods.

biophysics↗

bioRxiv2022

Thermoplasmonic induced vesicle fusion for investigating membrane protein phase affinity

Many cellular processes involve the lateral organization of integral and peripheral membrane proteins into nanoscale domains. Despite the biological significance the mechanisms that facilitate membrane protein clustering into nanoscale lipid domains remain enigmatic. In cells the analysis of membrane protein phase affinity is complicated by the size and temporal nature of ordered and disordered lipid domains. To overcome these limitations we developed a method for delivering membrane proteins from transfected cells into phase-separated model membranes that combines optical trapping with thermoplasmonic-mediated membrane fusion and confocal imaging. Using this approach we observed clear phase partitioning following the transfer of GFP-tagged influenza hemagglutinin and neuraminidase from transfected cell membranes to giant unilamellar vesicles. The generic platform presented here allows investigation of the phase affinity of any plasma membrane protein which can be labeled or tagged with a fluorescent marker.

biophysics↗

bioRxiv2022

Crystal structures of glycoprotein D of equine alphaherpesviruses reveal potential binding sites to the entry receptor MHC-I

Cell entry of most alphaherpesviruses is mediated by the binding of glycoprotein D (gD) to different cell surface receptors. Equine herpesvirus type 1 (EHV-1) and EHV-4 gDs interact with equine major histocompatibility complex I (MHC-I) to initiate entry into equine cells. We have characterized the gD-MHC-I interaction by solving the crystal structures of EHV-1 and EHV-4 gDs (gD1, gD4), performing protein-protein docking simulations, surface plasmon resonance (SPR) analysis, and biological assays. The structures of gD1 and gD4 revealed the existence of a common V-set immunoglobulin-like (IgV-like) core comparable to those of other gD homologs. Molecular modeling yielded plausible binding hypotheses and identified key residues (F213 and D261) that are important for virus binding. Altering the key residues resulted in impaired virus growth in cells, which highlights the important role of these residues in the gD-MHC-I interaction. Taken together, our results add to our understanding of the initial herpesvirus-cell interactions and will contribute to the targeted design of antiviral drugs and vaccine development. Author summaryEquine herpesvirus type 1 (EHV-1) and type 4 (EHV-4) are endemic in horses and cause great suffering as well as substantial economic losses to the equine industry. Current vaccines do not prevent infections and treatment is difficult. A prerequisite for vaccine and drug development is an in-depth understanding of the virus replication cycle, especially the virus entry process in order to block the infection at early stages. Entry of alphaherpesviruses into the host cell is mediated by a set of virus envelope glycoproteins including glycoprotein D (gD) that triggers the internalization of the virus particle. The structure of gD and the interaction with the entry receptor equine major histocompatibility complex class I (MHC-I) remains elusive. Here, we solved the crystal structures of gD1 and gD4 that allowed us to model virus-receptor interaction and to determine the key residues for virus entry. Alterations of these key residues impaired virus growth in cell culture. The overall structure of gD1 and gD4 shows classical features of other alphaherpesvirus gDs making it possible to gain further insights into human pathogens as well.

molecular biology↗

bioRxiv2021

Influenza A virus hemagglutinin prevents extensive membrane damage upon dehydration

While the molecular mechanisms of virus infectivity are rather well known, the detailed consequences of environmental factors on virus biophysical properties are poorly understood. Seasonal influenza outbreaks are usually connected to the low winter temperature, but also to the low relative air humidity. Indeed, transmission rates increase in cold regions during winter. While low temperature must slow degradation processes, the role of low humidity is not clear. We studied the effect of relative humidity on a model of influenza A H1N1 virus envelope, a supported lipid bilayer containing the surface glycoprotein hemagglutinin (HA), which is present in the viral envelope in very high density. For complete cycles of hydration, dehydration and rehydration, we evaluate the membrane properties in terms of structure and dynamics, which we assess by combining confocal fluorescence microscopy, raster image correlation spectroscopy, line-scan fluorescence correlation spectroscopy and atomic force microscopy. Our findings indicate that the presence of HA prevents macroscopic membrane damage after dehydration. Without HA, fast membrane disruption is followed by irreversible loss of lipid and protein mobility. Although our model is principally limited by the membrane composition, the macroscopic effects of HA under dehydration stress reveal new insights on the stability of the virus at low relative humidity.

biophysics↗

bioRxiv2021

Influenza A M2 recruits M1 to the plasma membrane: a fluorescence fluctuation microscopy study

Influenza A virus (IAV) is a respiratory pathogen that causes seasonal epidemics with significant mortality. One of the most abundant proteins in IAV particles is the matrix protein 1 (M1), which is essential for the virus structural stability. M1 organizes virion assembly and budding at the plasma membrane (PM), where it interacts with other viral components. The recruitment of M1 to the PM as well as its interaction with the other viral envelope proteins (hemagglutinin (HA), neuraminidase, matrix protein 2 (M2)) is controversially discussed in previous studies. Therefore, we used fluorescence fluctuation microscopy techniques (i.e., scanning fluorescence cross-correlation spectroscopy and Number and Brightness) to quantify the oligomeric state of M1 and its interactions with other viral proteins in co-transfected as well as infected cells. Our results indicate that M1 is recruited to the PM by M2, as a consequence of the strong interaction between the two proteins. In contrast, only a weak interaction between M1 and HA was observed. M1-HA interaction occurred only in the case that M1 was already bound to the PM. We therefore conclude that M2 initiates the assembly of IAV by recruiting M1 to the PM, possibly allowing its further interaction with other viral proteins. Statement of SignificanceInfluenza A virus (IAV) is a pathogen responsible for epidemics and occasional pandemics and, therefore, a significant burden on health systems. To develop innovative therapeutic approaches, a deeper understanding of the viral replication cycle is needed. For example, during the formation of new virions in infected cells, several viral components must assemble at the plasma membrane, but the molecular interactions involved in this process are not clearly understood. In this work, we use quantitative fluorescence microscopy methods to monitor the interplay between several viral proteins in live cell models. Our results underline the importance of the interactions between two specific proteins (M1 and M2) and shed light on the first steps in IAV assembly.

biophysics↗

bioRxiv2020

Multi-color fluorescence fluctuation spectroscopy in living cells via spectral detection

Signaling pathways in biological systems rely on specific interactions between multiple biomolecules. Fluorescence fluctuation spectroscopy provides a powerful toolbox to quantify such interactions directly in living cells. Cross-correlation analysis of spectrally separated fluctuations provides information about inter-molecular interactions but is usually limited to two fluorophore species. Here, we present scanning fluorescence spectral correlation spectroscopy (SFSCS), a versatile approach that can be implemented on commercial confocal microscopes, allowing the investigation of interactions between multiple protein species at the plasma membrane. We demonstrate that SFSCS enables cross-talk-free cross-correlation, diffusion and oligomerization analysis of up to four protein species labeled with strongly overlapping fluorophores. As an example, we investigate the interactions of influenza A virus (IAV) matrix protein 2 with two cellular host factors simultaneously. We furthermore apply raster spectral image correlation spectroscopy for the simultaneous analysis of up to four species and determine the stoichiometry of ternary IAV polymerase complexes in the cell nucleus.

biophysics↗

bioRxiv2020

Detection of Envelope Glycoprotein Assembly from Old-World Hantaviruses in the Golgi Apparatus of Living Cells

Hantaviruses are emerging pathogens that occasionally cause deadly outbreaks in the human population. While the structure of the viral envelope has been characterized with high precision, the protein-protein interactions leading to the formation of new virions in infected cells are not fully understood yet. In this work, we use quantitative fluorescence microscopy (i.e. Number&Brightness analysis and fluorescence fluctuation spectroscopy) to quantify the interactions that lead to oligomeric spike complex formation in the physiological context of living cells. To this aim, we have analyzed proteins from Puumala and Hantaan orthohantaviruses in several cellular models. For the first time, we quantified the oligomerization state of each protein in relation to its subcellular localization, concentration and the concentration of its interaction partner. Our results indicate that when expressed separately, both glycoproteins can form homo-multimers in a concentration-dependent manner. Fluorescence fluctuation analysis was applied to prove that Gc:Gc contacts observed on virions are also relevant for Gc-Gc interactions in living cells, in the absence of Gn. Furthermore, we proved that the membrane-distal lobes of Gn are not necessary for Gn homo-multimerization. In cells co-expressing both glycoproteins, we observe clear indication of Gn-Gc interactions and the formation of protein complexes with different sizes, while using various labelling schemes to minimize the influence of the fluorescent tags. Our data are compatible with an assembly model according to which hantavirus spikes are formed via the assembly of Gn-Gc hetero-dimers. Furthermore, our results indicate the interconnection of large Gn-Gc hetero-multimers in the Golgi apparatus. Such large glycoprotein multimers may be identified as multiple interacting viral spikes and provide a possible first evidence for the initial assembly steps of the viral envelope, within this organelle, directly in living cells.

biophysics↗

bioRxiv2020

A chemical strategy to control protein networks in vivo

Direct control of protein interaction by chemically induced protein proximity (CIPP) holds great potential for cell- and synthetic biology as well as therapeutic applications. However, toxicity, low cell-permeability and lack of orthogonality currently limit the use of available chemical inducers of proximity (CIP). We present Mandi, a novel CIP and demonstrate its applicability in cell culture systems as well as living organisms for protein translocation, protein network shuttling and manipulation of endogenous proteins.

synthetic biology↗

bioRxiv2020

Effect of Erufosine on Membrane Lipid Order in Breast Cancer Cell Models

Alkylphospholipids are a novel class of antineoplastic drugs showing remarkable therapeutic potential. Among them, Erufosine (EPC3) is a promising drug for the treatment of several types of tumors. While EPC3 is supposed to exert its function by interacting with lipid membranes, the exact molecular mechanisms involved are not known yet. In this work, we applied a combination of several fluorescence microscopy and analytical chemistry approaches (i.e., scanning fluorescence correlation spectroscopy, line-scan fluorescence correlation spectroscopy, generalized polarization imaging, as well as thin layer and gas chromatography) to quantify the effect of EPC3 in biophysical models of the plasma membrane, as well as in cancer cell lines. Our results indicate that EPC3 affects lipid-lipid interactions in cellular membranes by decreasing lipid packing and increasing membrane disorder and fluidity. As a consequence of these alterations in the lateral organization of lipid bilayers, the diffusive dynamics of membrane proteins are also significantly increased. Taken together, these findings suggest that the mechanism of action of EPC3 might be linked to its effects on fundamental biophysical properties of lipid membranes, as well as lipid metabolism in cancer cells.

biophysics↗

bioRxiv2019

Influenza A matrix protein M1 is sufficient to induce lipid membrane deformation

The matrix protein M1 of the Influenza A virus is considered to mediate viral assembly and budding at the plasma membrane (PM) of infected cells. In order for a new viral particle to form, the PM lipid bilayer has to bend into a vesicle towards the extracellular side. Studies in cellular models have proposed that different viral proteins might be responsible for inducing membrane curvature in this context (including M1), but a clear consensus has not been reached. In this study, we use a combination of fluorescence microscopy, cryogenic transmission electron microscopy (cryo-TEM), cryo-electron tomography (cryo-ET) and scanning fluorescence correlation spectroscopy (sFCS) to investigate M1-induced membrane deformation in biophysical models of the PM. Our results indicate that M1 is indeed capable to cause membrane curvature in lipid bilayers containing negatively-charged lipids, in the absence of other viral components. Furthermore, we prove that simple protein binding is not sufficient to induce membrane restructuring. Rather, it appears that stable M1-M1 interactions and multimer formation are required in order to alter the bilayer three-dimensional structure, through the formation of a protein scaffold. Finally, our results suggest that, in a physiological context, M1-induced membrane deformation might be modulated by the initial bilayer curvature and the lateral organization of membrane components (i.e. the presence of lipid domains).

biophysics↗

bioRxiv2018

Structural determinants of the interactions between Influenza A Virus Matrix protein M1 and lipid membranes

Influenza A virus is a pathogen responsible for severe seasonal epidemics threatening human and animal populations every year. One of the ten proteins encoded by the viral genome, the matrix protein M1, is abundantly produced in infected cells and plays a structural role in determining the morphology of the virus. During assembly of new viral particles, M1 is recruited to the host cell membrane where it associates with lipids and other viral proteins. The structure of M1 is only partially known. In particular, structural details of M1 interactions with the cellular plasma membrane as well as M1-protein interactions and multimerization have not been clarified, yet.\n\nIn this work, we employed a set of complementary experimental and theoretical tools to tackle these issues. Using raster image correlation, surface plasmon resonance and circular dichroism spectroscopies, we quantified membrane association and oligomerization of full-length M1 and of different genetically engineered M1 constructs (i.e., N- and C-terminally truncated constructs and a mutant of the polybasic region, residues 95-105). Furthermore, we report novel information on structural changes in M1 occurring upon binding to membranes. Our experimental results are corroborated by an all-atom model of the full-length M1 protein bound to a negatively charged lipid bilayer.

biophysics↗

bioRxiv2018

Quantifying protein oligomerization in living cells: A systematic comparison of fluorescent proteins

Fluorescence fluctuation spectroscopy has become a popular toolbox for non-disruptive studies of molecular interactions and dynamics in living cells. The quantification of e.g. protein oligomerization and absolute concentrations in the native cellular environment is highly relevant for a detailed understanding of complex signaling pathways and biochemical reaction networks. A parameter of particular relevance in this context is the molecular brightness, which serves as a direct measure of oligomerization and can be easily extracted from temporal or spatial fluorescence fluctuations. However, fluorescent proteins (FPs) typically used in such studies suffer from complex photophysical transitions and limited maturation, potentially inducing non-fluorescent states, which strongly affect molecular brightness measurements. Although these processes have been occasionally reported, a comprehensive study addressing this issue is missing.\n\nHere, we investigate the suitability of commonly used FPs (i.e. mEGFP, mEYFP and mCherry), as well as novel red FPs (i.e. mCherry2, mRuby3, mCardinal, mScarlet and mScarlet-I) for the quantification of oligomerization based on the molecular brightness, as obtained by Fluorescence Correlation Spectroscopy (FCS) and Number&Brightness (N&B) measurements in living cells. For all FPs, we measured a lower than expected brightness of FP homo-dimers, allowing us to estimate, for each fluorescent label, the probability of fluorescence emission in a simple two-state model. By analyzing higher FP homo-oligomers and the Influenza A virus Hemagglutinin (HA) protein, we show that the oligomeric state of protein complexes can only be accurately quantified if this probability is taken into account. Further, we provide strong evidence that mCherry2, an mCherry variant, possesses a superior apparent fluorescence probability, presumably due to its fast maturation. We finally conclude that this property leads to an improved quantification in fluorescence cross-correlation spectroscopy measurements and propose to use mEGFP and mCherry2 as the novel standard pair for studying biomolecular hetero-interactions.

biophysics↗