Ebola viruses (EBOVs) are responsible for repeated outbreaks of fatal infections, including the recent deadly epidemic in West Africa. There are currently no approved therapeutic drugs or vaccines for the disease. EBOV has a membrane envelope decorated by trimers of a glycoprotein (GP, cleaved by furin to form GP1 and GP2 subunits) which is solely responsible for host cell attachment, endosomal entry and membrane fusion1–7. GP is thus a primary target for the development of antiviral drugs. Here we report the first unliganded structure of EBOV GP, and complexes with an anticancer drug toremifene and the painkiller ibuprofen. The high-resolution apo structure gives a more complete and accurate picture of the molecule, and allows conformational changes introduced by antibody and receptor binding to be deciphered8–10. Unexpectedly both toremifene and ibuprofen bind in a cavity between the attachment (GP1) and fusion (GP2) subunits at the entrance to a large tunnel that links with equivalent tunnels from the other monomers of the trimer at the 3-fold axis. Protein-drug interactions, with both GP1 and GP2, are predominately hydrophobic. Residues lining the binding site are highly conserved amongst filoviruses except Marburg virus (MARV), suggesting that MARV may not bind these drugs. Thermal shift assays show up to a 14 °C decrease in protein melting temperature upon toremifene binding, while ibuprofen has only a marginal effect and is a less potent inhibitor. The results suggest that inhibitor binding destabilizes GP and triggers premature release of GP2, therefore preventing fusion between the viral and endosome membranes. Thus these complex structures reveal the mechanism of inhibition and may guide the development of more powerful anti-EBOV drugs.

Repulsive guidance molecules (RGMs) control crucial processes spanning cell motility, adhesion, immune cell regulation and systemic iron metabolism. RGMs signal via two fundamental signaling cascades: the Neogenin (NEO1) and the Bone Morphogenetic Protein (BMP) pathways. Here, we report crystal structures of the N-terminal domains of all human RGM family members in complex with the BMP ligand BMP2, revealing a novel protein fold and a conserved BMP-binding mode. Our structural and functional data suggest a pH-linked mechanism for RGM-activated BMP signaling and offer a rationale for RGM mutations causing juvenile hemochromatosis. We also determined the ternary BMP2–RGM–NEO1 complex crystal structure, which combined with solution scattering and live-cell super-resolution fluorescence microscopy, indicates BMP-induced clustering of the RGM–NEO1 complex. Our results show how RGM acts as the central hub linking BMP and NEO1 and physically connecting these fundamental signaling pathways.

SummaryClass A plexins (PlxnAs) act as semaphorin receptors and control diverse aspects of nervous system development and plasticity, ranging from axon guidance and neuron migration to synaptic organization. PlxnA signaling requires cytoplasmic domain dimerization, but extracellular regulation and activation mechanisms remain unclear. Here we present crystal structures of PlxnA (PlxnA1, PlxnA2, and PlxnA4) full ectodomains. Domains 1–9 form a ring-like conformation from which the C-terminal domain 10 points away. All our PlxnA ectodomain structures show autoinhibitory, intermolecular “head-to-stalk” (domain 1 to domain 4-5) interactions, which are confirmed by biophysical assays, live cell fluorescence microscopy, and cell-based and neuronal growth cone collapse assays. This work reveals a 2-fold role of the PlxnA ectodomains: imposing a pre-signaling autoinhibitory separation for the cytoplasmic domains via intermolecular head-to-stalk interactions and supporting dimerization-based PlxnA activation upon ligand binding. More generally, our data identify a novel molecular mechanism for preventing premature activation of axon guidance receptors.

Quantitative analysis in Förster resonance energy transfer (FRET) experiments in live cells for protein interaction studies is still a challenging issue. In a two-component system (FRET and no FRET donor species), fitting of fluorescence lifetime imaging microscopy (FLIM) data gives the fraction of donor molecules involved in FRET (f(D)) and the intrinsic transfer efficiency. But when fast FLIM acquisitions are used to monitor dynamic changes in protein-protein interactions at high spatial and temporal resolutions in living cells, photon statistics and time resolution are limited. In this case, fitting procedures are not reliable, even for single lifetime donors. We introduce the new concept of a minimal fraction of donor molecules involved in FRET (mf(D)), coming from the mathematical minimization of f(D). We find particular advantage in the use of mf(D) because it can be obtained without fitting procedures and it is derived directly from FLIM data. mf(D) constitutes an interesting quantitative parameter for live cell studies because it is related to the minimal relative concentration of interacting proteins. For multi-lifetime donors, the process of fitting complex fluorescence decays to find at least four reliable lifetimes is a near impossible task. Here, mf(D) extension for multi-lifetime donors is the only quantitative determinant. We applied this methodology for imaging the interaction between the bromodomains of TAF(II250) and acetylated histones H4 in living cells at high resolution. We show the existence of discrete acetylated chromatin domains where the minimal fraction of bromodomain interacting with acetylated H4 oscillates from 0.26 to 0.36 and whose size is smaller than half of one micron cube. We demonstrate that mf(D) by itself is a useful tool to investigate quantitatively protein interactions in live cells, especially when using fast FRET-FLIM acquisition times.

New imaging methodologies in quantitative fluorescence microscopy, such as Förster resonance energy transfer (FRET), have been developed in the last few years and are beginning to be extensively applied to biological problems. FRET is employed for the detection and quantification of protein interactions, and of biochemical activities. Herein, we review the different methods to measure FRET in microscopy, and more importantly, their strengths and weaknesses. In our opinion, fluorescence lifetime imaging microscopy (FLIM) is advantageous for detecting inter-molecular interactions quantitatively, the intensity ratio approach representing a valid and straightforward option for detecting intra-molecular FRET. Promising approaches in single molecule techniques and data analysis for quantitative and fast spatio-temporal protein-protein interaction studies open new avenues for FRET in biological research.

Diverse enveloped viruses enter host cells through endocytosis and fuse with endosomal membranes upon encountering acidic pH. Currently, the pH dynamics in virus-carrying endosomes and the relationship between acidification and viral fusion are poorly characterized. Here, we examined the entry of avian retrovirus that requires two sequential stimuli-binding to a cognate receptor and low pH-to undergo fusion. A genetically encoded sensor incorporated into the viral membrane was used to measure the pH in viruscarrying endosomes. Acid-induced virus fusion was visualized as the release of a fluorescent viral content marker into the cytosol. The pH values in early acidic endosomes transporting the virus ranged from 5.6 to 6.5 but were relatively stable over time for a given vesicle. Analysis of viral motility and luminal pH showed that cells expressing the transmembrane isoform of the receptor (TVA950) preferentially sorted the virus into slowly trafficking, less acidic endosomes. In contrast, viruses internalized by cells expressing the GPI-anchored isoform (TVA800) were uniformly distributed between stationary and mobile compartments. We found that the lag times between acidification and fusion were significantly shorter and fusion pores were larger in dynamic endosomes than in more stationary compartments. Despite the same average pH within mobile compartments of cells expressing alternative receptor isoforms, TVA950 supported faster fusion than TVA800 receptor. Collectively, our results suggest that fusion steps downstream of the low-pH trigger are modulated by properties of intracellular compartments harboring the virus.confocal imaging | nano-pH-meter | single virus tracking | FRET M any enveloped viruses use endocytosis and vesicular trafficking to enter host cells, where acidification of an endosomal lumen serves as a trigger for viral fusion (1, 2). Viral fusion proteins are fine-tuned to respond to different pH values. Those that are activated at less acidic pH (∼6.0) are thought to mediate fusion with early endosomes, whereas those with a lower pH threshold (∼5.0) appear to direct the virus entry from late endosomes (1, 3). However, recent evidence implies that factors other than low pH, such as specific endosome-resident lipids, can determine the intracellular compartments from which the viral capsid is released into the cytosol (2, 4, 5). Progress in understanding the complex regulation of virus-endosome fusion has been hindered by poor accessibility of intracellular compartments and lack of direct techniques for monitoring this process in situ.Single-virus imaging is a powerful tool for gaining critical insights into virus entry (reviewed in ref. 6), but detection of virus-endosome fusion (here defined as the release of viral content into the cytoplasm) is technically challenging (7,8). To understand the relationship between the pH trigger and virus-endosome fusion, it is essential to visualize these events in real time. A ratiometric method developed by the Zhuang group (9, 10) permits monitoring endos...

By imaging the release of a GFP-based viral content marker produced upon virus maturation, we have previously found that HIV-1 fuses with endosomes. In contrast, fusion at the cell surface did not progress beyond a lipid mixing stage (hemifusion). However, recent evidence suggesting that free GFP can be trapped within the mature HIV-1 capsid raises concerns that this content marker may not be released immediately after the formation of a fusion pore. To determine whether a significant portion of GFP is trapped in the mature capsid, we first permeabilized the viral membrane with saponin. The overwhelming majority of pseudoviruses fully released GFP while the remaining particles exhibited partial loss or no loss of content. The extent of GFP release correlated with HIV-1 maturation, implying that incomplete Gag processing, but not GFP entrapment by mature capsids, causes partial content release. Next, we designed a complementary assay for visualizing pore formation by monitoring the intraviral pH with an additional pH-sensitive fluorescent marker. The loss of GFP through saponin-mediated pores was associated with a concomitant increase in the intraviral pH due to equilibration with the pH of an external buffer. We next imaged single HIV-cell fusion and found that these events were manifested in a highly correlated loss of content and increase in the intraviral pH, as it equilibrated with the cytosolic pH. Fused or saponin-permeabilized pseudoviruses that partially lost GFP did not release the remaining content marker under conditions expected to promote the capsid dissociation. We were thus unable to detect significant entrapment of GFP by the mature HIV-1 capsid. Together, our results validate the use of the GFP-based content marker for imaging single virus fusion and inferring the sites of HIV-1 entry.

The fluorescent-protein based fluorescence resonance energy transfer (FRET) approach is a powerful method for quantifying protein-protein interactions in living cells, especially when combined with fluorescence lifetime imaging microscopy (FLIM). To compare the performance of different FRET couples for FRET-FLIM experiments, we first tested enhanced green fluorescent protein (EGFP) linked to different red acceptors (mRFP1-EGFP, mStrawberry-EGFP, HaloTag (TMR)-EGFP, and mCherry-EGFP). We obtained a fraction of donor engaged in FRET (f(D)) that was far from the ideal case of one, using different mathematical models assuming a double species model (i.e., discrete double exponential fixing the donor lifetime and double exponential stretched for the FRET lifetime). We show that the relatively low f(D) percentages obtained with these models may be due to spectroscopic heterogeneity of the acceptor population, which is partially caused by different maturation rates for the donor and the acceptor. In an attempt to improve the amount of donor protein engaged in FRET, we tested mTFP1 as a donor coupled to mOrange and EYFP, respectively. mTFP1 turned out to be at least as good as EGFP for donor FRET-FLIM experiments because 1), its lifetime remained constant during light-induced fluorescent changes; 2), its fluorescence decay profile was best fitted with a single exponential model; and 3), no photoconversion was detected. The f(D) value when combined with EYFP as an acceptor was the highest of all tandems tested (0.7). Moreover, in the context of fast acquisitions, we obtained a minimal f(D) (mf(D)) for mTFP1-EYFP that was almost two times greater than that for mCherry-EGFP (0.65 vs. 0.35). Finally, we compared EGFP and mTFP1 in a biological situation in which the fusion proteins were highly immobile, and EGFP and mTFP1 were linked to the histone H4 (EGFP-H4 and mTFP1-H4) in fast FLIM acquisitions. In this particular case, the fluorescence intensity was more stable for EGFP-H4 than for mTFP1-H4. Nevertheless, we show that mTFP1/EYFP stands alone as the best FRET-FLIM couple in terms of f(D) analysis.