Jana Aupič’s research while affiliated with Istituto Officina dei Materiali, Italian National Research Council and other places

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Publications (36)


All-Atom Simulations Elucidate the Molecular Mechanism Underlying RNA-Membrane Interactions
  • Article

March 2025

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5 Reads

Nano Letters

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Jana Aupič

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Design and characterization of single‐chain and dimeric tetrahedral nanostructures with tetrameric CCs incorporated. a) Protein sequence with 14 or 7 segments fold into tetrahedral nanostructure as a single‐chain or dimeric polypeptide, respectively. b) SEC‐MALS chromatograms and molecular mass for the (1) (purple line) and its corresponding dimeric protein (6) (orange line). Theoretical MW (1)=69.0 kDa and MW (6)=71.0 kDa. UV signal is reported in relative absorbance units (RAU). c) CD spectra of (1) (purple line) and (6) (orange line) at 25 °C with helical content and melting temperature in the panel. d) Hydrodynamic diameter of (1) (purple line) and (6) (orange line) determined by DLS. e) Experimental fit to the SAXS curve of (1) and its corresponding molecular model in f) obtained from the CoCoPOD platform.
MD simulations of (1) and its structural analysis by cryo‐EM. a) Schematic representation of the polypeptide path forming a tetrahedron. b) Computational model of the tetrahedron cage is composed by a single‐chain peptide with 5 dimeric peptide segments and 1 tetrameric module. c) Comparison of RMSDs between coiled‐coil modules and the linkers. d) Comparison of RMSDs between the six coiled‐coil modules. e) Snapshots (t=0/100/500/1000 ns, from left to right) of the L1/L4/L7 from 1000 ns MD simulation. Residues from coiled coils and linkers are represented by cyan and green sticks, respectively. Hydrogen bonds are shown as black dashes. f) 2D class averages showing the tetrameric module (boxed region) well resolved. g) Consensus map reconstruction. h) zoom‐in on 4HB (viewing direction arrow in g). i) 3D variational analysis shows conformational variability around the top vertex (same orientation as in b; dotted gray line for height comparison). j) Fourier Shell Correlation (FSC) of the consensus map reconstruction.
Design and characterization of single‐chain tetrahedral topologies with incorporated two pairs of tetrameric CCs. a) segment sequence of single‐chain tetrahedra (5) and its 2D topological scheme on the right with TEB tetramer presented as unpaired dimers. b) SEC‐MALS chromatogram and molecular mass for the (5). Theoretical Mw (5)=74.4 kDa. UV signal is reported in relative absorbance units (AU). c) CD spectra of the protein at 25 °C, 95 °C and cooled back to 25 °C showing excellent refolding properties with helical content percentage and the melting temperature indicated within the panel on the left. The hydrodynamic diameter of the protein is determined by DLS on the right. d) The experimental SAXS profile of the (5) (gray trace) matching well the theoretical SAXS profile calculated for the protein model structure (χ=1.2) (blue line). Error bars in gray represent the standard deviation for each data point (mean). Molecular model corresponding to fit curve obtained in CoCoPOD platform on the right. e) Segment sequence of single‐chain tetrahedra (3) and its 2D topological scheme on the right with ROP tetramer presented as unpaired dimers. f) SEC‐MALS chromatogram and molecular mass for the (3). Theoretical Mw (3)=74.7 kDa. UV signal is reported in relative absorbance units (AU). g) CD spectra of the protein at 25 °C, 95 °C and cooled back to 25 °C showing excellent refolding properties with helical content percentage and the melting temperature indicated within the panel, on the left. The hydrodynamic diameter of the protein determined by DLS is shown on the right. h) The experimental SAXS profile of the (3) (gray trace) matching well with the theoretical SAXS profile calculated for the protein model structure (χ=1.8) (purple trace). Error bars in black represent the standard deviation for each data point in black (mean). The molecular model corresponding fitting the SAXS curve obtained in the CoCoPOD platform on the right.
Coiled‐coil building blocks and topologies of designed protein cages composed of a single or two polypeptide chains. a) Building blocks. b) Designed topologies with coiled‐coils module sequence and designed fold. c) Two‐dimensional representation of folding topologies in b). d) Dimeric‐chain designs with peptide sequences and designed fold.
Beyond Dimerization: Harnessing Tetrameric Coiled‐Coils for Nanostructure Assembly
  • Article
  • Full-text available

December 2024

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34 Reads

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Tamara Šmidlehner

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Jana Aupič

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[...]

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Versatile DNA and polypeptide‐based structures have been designed based on complementary modules. However, polypeptides can also form higher oligomeric states. We investigated the introduction of tetrameric modules as a substitute for coiled‐coil dimerization units used in previous modular nanostructures. Tetramerizing helical bundles can run in parallel or antiparallel orientation, expanding the number of topological solutions for modular nanostructures. Furthermore, this strategy facilitates the construction of nanostructures from two identical polypeptide chains. Importantly, tetrameric modules substantially stabilized protein nanostructures against air–water interface denaturation, enabling the determination of the first cryo‐electron microscopy three‐dimensional structure of a coiled‐coil‐based nanostructure, confirming the designed agreement of the modules forming a tetrahedral cage.

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Beyond Dimerization: Harnessing Tetrameric Coiled‐Coils for Nanostructure Assembly

December 2024

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9 Reads

Angewandte Chemie

Versatile DNA and polypeptide‐based structures have been designed based on complementary modules. However, polypeptides can also form higher oligomeric states. We investigated the introduction of tetrameric modules as a substitute for coiled‐coil dimerization units used in previous modular nanostructures. Tetramerizing helical bundles can run in parallel or antiparallel orientation, expanding the number of topological solutions for modular nanostructures. Furthermore, this strategy facilitates the construction of nanostructures from two identical polypeptide chains. Importantly, tetrameric modules substantially stabilized protein nanostructures against air‐water interface denaturation, enabling the determination of the first cryo‐electron microscopy three‐dimensional structure of a coiled‐coil‐based nanostructure, confirming the designed agreement of the modules forming a tetrahedral cage.


Figure 2: Nucleosides exhibit distinct binding modes in the membrane-bound state. Preferred orientation for each nucleoside ((a) guanosine, (b) adenosine, (c) uridine and (d) cytidine) was obtained by analyzing the free energy in the bound state as a function of the angle (θ) between the nucleobase and membrane normal. The definition of θ is depicted in the inset of panel a. Representative frames are shown. For clarity, ribose rings are not shown and only lipid head groups hydrogen bonding to nucleosides are displayed. Dashed black lines represent hydrogen bonds between nucleosides and the membrane. Adenosine orients perpendicularly to the membrane and is inserted deeper, while other nucleosides tend to adjust in a roughly parallel way.
Figure S1: Average hydrogen bonding frequencies ⟨N H-bonds ⟩ for each hydrogen bond donating moiety in nucleosides. DPPC lipids do not have hydrogen bond donating moieties, thus only RNA donors are shown.
All-atom simulations elucidate the molecular mechanism underlying RNA-membrane interactions

November 2024

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62 Reads

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1 Citation

RNA-membrane interactions are starting to emerge as an important organizing force in both natural and synthetic biological systems. Notably, RNA molecules were recently discovered to be present on the extracellular surface of living cells, where they mediate intercellular signalling. Furthermore, RNA-membrane interactions influence the efficacy of lipid-based RNA delivery systems. However, the molecular terms driving RNA localisation at the membrane remain poorly understood. In this work, we investigate how RNA-phospholipid membrane interactions occur, by means of all-atom simulations. We find that among the four RNA nucleobases guanine exhibits the strongest interaction with the membrane due to extensive hydrogen bond formation. Additionally, we show that intra-RNA base pairing present in organised RNA structures significantly hinders RNA binding to the membrane. Elucidating the molecular details of RNA-membrane association will importantly contribute to improving the design of RNA-based drugs as well as lipid-based RNA delivery systems and to parsing out RNA transport and localisation mechanisms.


Third Metal Ion Dictates the Catalytic Activity of the Two‐Metal‐Ion Pre‐Ribosomal RNA‐Processing Machinery

September 2024

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18 Reads

Nucleic acid processing enzymes use a two‐Mg²⁺‐ion motif to promote the formation and cleavage of phosphodiester bonds. Yet, recent evidence demonstrates the presence of spatially conserved second‐shell cations surrounding the catalytic architecture of proteinaceous and RNA‐dependent enzymes. The RNase mitochondrial RNA processing (MRP) complex, which cleaves the ribosomal RNA (rRNA) precursor at the A3 cleavage site to yield mature 5′‐end of 5.8S rRNA, hosts in the catalytic core one atypically‐located Mg²⁺ ion, in addition to the ions forming the canonical catalytic motif. Here, we employ biased quantum classical molecular dynamics simulations of RNase MRP to discover that the third Mg²⁺ ion inhibits the catalytic process. Instead, its displacement in favour of a second‐shell monovalent K⁺ ion propels phosphodiester bond cleavage by enabling the formation of a specific hydrogen bonding network that mediates the essential proton transfer step. This study points to a direct involvement of a transient K⁺ ion in the catalytic cleavage of the phosphodiester bond and implicates cation trafficking as a general mechanism in nucleic acid processing enzymes and ribozymes.



Third Metal Ion Dictates the Catalytic Activity of the Two‐Metal‐Ion Pre‐Ribosomal RNA‐Processing Machinery

July 2024

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6 Reads

Angewandte Chemie

Nucleic acid processing enzymes use a two‐Mg2+‐ion motif to promote the formation and cleavage of phosphodiester bonds. Yet, recent evidence demonstrates the presence of spatially conserved second‐shell cations surrounding the catalytic architecture of proteinaceous and RNA‐dependent enzymes. The RNase mitochondrial RNA processing (MRP) complex, which cleaves the ribosomal RNA (rRNA) precursor at the A3 cleavage site to yield mature 5'‐end of 5.8S rRNA, hosts in the catalytic core one atypically‐located Mg2+ ion, in addition to the ions forming the canonical catalytic motif. Here, we employ biased quantum classical molecular dynamics simulations of RNase MRP to discover that the third Mg2+ ion inhibits the catalytic process. Instead, its displacement in favour of a second‐shell monovalent K+ ion propels phosphodiester bond cleavage by enabling the formation of a specific hydrogen bonding network that mediates the essential proton transfer step. This study points to a direct involvement of a transient K+ ion in the catalytic cleavage of the phosphodiester bond and implicates cation trafficking as a general mechanism in nucleic acid processing enzymes and ribozymes.


Scheme of the spliceosome complex pre-organized for the first transesterification reaction
a Cryo-EM structure of the yeast C complex spliceosome (PDBID: 7B9V) used in this study. Relevant splicing factors (Yju2, Cwc25), small nuclear RNAs (U2, U5, and U6), and pre-mRNA are shown in the new cartoon representation. The protein core is shown as a white surface. b Close up view of the active site containing two Mg²⁺ ions (M1 and M2) and K⁺ ion (K1) along with their coordinating residues. c Branching is initiated by the attack of the branch point adenosine (BPA) in the intron sequence on the 5’-splice site, leading to the formation of the intron lariat-3’-exon intermediate and free 5’-exon.
Branching reaction follows a two-step associative mechanism
a Close-up view of the reaction site in the reactant state. The reaction proceeds by the nucleophilic 2’-OH attacking the scissile phosphate (P), with O3’ acting as the leaving group. Distances between relevant atoms are labeled from d1 to d11. Mg²⁺ ions are labeled as M1 and M2, K⁺ as K1. b Helmholtz free energy (F) as a function of the reaction coordinate (RC). The reactant (R) and the product state (P) are separated by the phosphorane-like intermediate state (I). The reaction is characterized by two transition states (TS1 and TS2) and two proton transfer steps (PT1 and PT2). The free energy profile was obtained by integrating the mean constraint force along the RC. At each RC, the mean constraint force was obtained over 6000 frames. The corresponding errors were obtained from SD using error propagation. c Distances between atom pairs depicted in panel a as a function of the reaction coordinate. For clarity, only distances exhibiting a marked change as the reaction progressed are shown. Data are presented as mean values ± SD (n = 1000 frames). Source data are provided as a Source Data file.
Hydrogen bonding facilitates proton transfer from the nucleophile to the leaving group via the scissile phosphate
The active site is shown in the reactant state (R), during the first proton transfer (PT1), in the intermediate state (I), during the second proton transfer (PT2), and in the product state (P). The intermediate state is stabilized by water-assisted hydrogen bonding.
Substitution of K⁺ ion by Li⁺ increases the activation barrier for the branching reaction
a Active site in the pre-reaction state after equilibration with QM/MM MD. b Helmholtz free energy (F) as a function of the reaction coordinate (RC) in the presence of Li⁺ ion (in green) in comparison to the free energy profile obtained when K⁺ ion was bound in the active site instead (in violet). As in the case of the K⁺ ion, the reaction exhibits an intermediate state (I), two transition states (TS1 and TS2), and two proton transfer steps (PT1 and PT2). The arrows denote the activation barrier and the free energy difference between the reactant (R) and product state (P). The free energy profiles were obtained by integrating the mean constraint force over the RC. At each RC value, the mean constraint force was calculated from the last 6000 frames. The corresponding errors were obtained from SD using error propagation. c Distances between atom pairs depicted in panel a as a function of the reaction coordinate. Data are presented as mean values ± SD (n = 1000 frames). For clarity, only distances exhibiting a marked change during the reaction are shown. Source data are provided as a Source Data file.
Li⁺ ion negatively affects hydrogen bonding in the active site and hinders proton transfer
a Snapshots of the active site during the branching reaction simulated in the presence of the Li⁺ ion. The active site is shown in the reactant state (R), during the first proton transfer (PT1), in the intermediate state (I), during the second proton transfer (PT2), and in the product state (P). b Frequency of hydrogen bonding between 2’-OH of BPA and G(+1)-O(Sp) before the branching reaction (hb1) and 3’-OH of G(−1) and G(+1)-O(Sp) after the reaction (hb2) as a function of the reaction coordinate. The violet and green bars report values obtained when K⁺ or Li⁺ ion, respectively, was bound in the active site. The distributions of distances and angles between relevant atoms, which served as the basis for calculating the frequency of hydrogen bonding, are shown in Supplementary Figs. 15 and 16. Source data are provided as a Source Data file.
Monovalent metal ion binding promotes the first transesterification reaction in the spliceosome

December 2023

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46 Reads

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10 Citations

Cleavage and formation of phosphodiester bonds in nucleic acids is accomplished by large cellular machineries composed of both protein and RNA. Long thought to rely on a two-metal-ion mechanism for catalysis, structure comparisons revealed many contain highly spatially conserved second-shell monovalent cations, whose precise function remains elusive. A recent high-resolution structure of the spliceosome, essential for pre-mRNA splicing in eukaryotes, revealed a potassium ion in the active site. Here, we employ biased quantum mechanics/ molecular mechanics molecular dynamics to elucidate the function of this monovalent ion in splicing. We discover that the K⁺ ion regulates the kinetics and thermodynamics of the first splicing step by rigidifying the active site and stabilizing the substrate in the pre- and post-catalytic state via formation of key hydrogen bonds. Our work supports a direct role for the K⁺ ion during catalysis and provides a mechanistic hypothesis likely shared by other nucleic acid processing enzymes.


Exploring the Anticancer Activity of Tamoxifen-Based Metal Complexes Targeting Mitochondria

July 2023

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84 Reads

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17 Citations

Journal of Medicinal Chemistry

Two new 'hybrid' metallodrugs of Au(III) (AuTAML) and Cu(II) (CuTAML) were designed featuring a tamoxifen-derived pharmacophore to ideally synergize the anticancer activity of both the metal center and the organic ligand. The compounds have antiproliferative effects against human MCF-7 and MDA-MB 231 breast cancer cells. Molecular dynamics studies suggest that the compounds retain the binding activity to estrogen receptor (ERα). In vitro and in silico studies showed that the Au(III) derivative is an inhibitor of the seleno-enzyme thioredoxin reductase, while the Cu(II) complex may act as an oxidant of different intracellular thiols. In breast cancer cells treated with the compounds, a redox imbalance characterized by a decrease in total thiols and increased reactive oxygen species production was detected. Despite their different reactivities and cytotoxic potencies, a great capacity of the metal complexes to induce mitochondrial damage was observed as shown by their effects on mitochondrial respiration, membrane potential, and morphology.


Molecular Dynamics Simulations Elucidate the Molecular Basis of Pre-mRNA Translocation by the Prp2 Spliceosomal Helicase

June 2023

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25 Reads

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2 Citations

Journal of Chemical Information and Modeling

The spliceosome machinery catalyzes precursor-messenger RNA (pre-mRNA) splicing by undergoing at each splicing cycle assembly, activation, catalysis, and disassembly processes, thanks to the concerted action of specific RNA-dependent ATPases/helicases. Prp2, a member of the DExH-box ATPase/helicase family, harnesses the energy of ATP hydrolysis to translocate a single pre-mRNA strand in the 5' to 3' direction, thus promoting spliceosome remodeling to its catalytic-competent state. Here, we established the functional coupling between ATPase and helicase activities of Prp2. Namely, extensive multi-μs molecular dynamics simulations allowed us to unlock how, after pre-mRNA selection, ATP binding, hydrolysis, and dissociation induce a functional typewriter-like rotation of the Prp2 C-terminal domain. This movement, endorsed by an iterative swing of interactions established between specific Prp2 residues with the nucleobases at 5'- and 3'-ends of pre-mRNA, promotes pre-mRNA translocation. Notably, some of these Prp2 residues are conserved in the DExH-box family, suggesting that the translocation mechanism elucidated here may be applicable to all DExH-box helicases.


Citations (27)


... ML is in the process of revolutionizing how we make sense of experimental and simulation data in science, including in the study of IDRs, and how we generate new data altogether (Lindorff-Larsen and Kragelund, 2021; Ramanathan et al., 2021;Aupič et al., 2024). Machine learning methods, in particular neural networks (NN), are now routinely used to help understand the connections between IDR sequence, ensembles, biophysical properties, and biological functions (Figure 1). ...

Reference:

Machine learning methods to study disordered proteins
Predicting Conformational Ensembles of Intrinsically Disordered Proteins: From Molecular Dynamics to Machine Learning
  • Citing Article
  • August 2024

The Journal of Physical Chemistry Letters

... The ILS•C* complex would need to perform a parallel set of rearrangements (Fig 7A), but in the absence of bound exons. Recent refinements of C-complex-like spliceosomes identified the C i complex, a low free energy state complex on pathway between C and C* (Wilkinson et al. 2021;Aupič et al. 2023), further demonstrating the flexibility of spliceosome transitions between the C and C* complexes. This study also identified a long suspected monovalent metal binding site (Tseng and Cheng 2008;Marcia and Pyle 2012; Tseng and Cheng 2013) that when occupied by K + , favors F1 over R1 during the first step (Wilkinson et al. 2021;Aupič et al. 2023). ...

Monovalent metal ion binding promotes the first transesterification reaction in the spliceosome

... Moreover, bioenergetic interactions of metal-containing agents are generally not well characterized, with some notable exceptions. There have been studies of a small number of metal complexes containing iridium, 13 cobalt, 14 copper, 14,15 gold, [15][16][17][18] platinum, 19 ruthenium, [20][21][22] rhenium, 23 and iron 24 that include assessments of the inuence of the compounds on bioenergetics. However, to our knowledge, none of these complexes leverage light-mediated mechanisms of activation. ...

Exploring the Anticancer Activity of Tamoxifen-Based Metal Complexes Targeting Mitochondria
  • Citing Article
  • July 2023

Journal of Medicinal Chemistry

... However, the extracellular and intracellular domains are missing from these structures. Recently, all-atom molecular dynamics (MD) simulations suggested that the extracellular domain is disordered and, upon Cu(I) binding, the extracellular domain approaches the selectivity filter, which leads to the opening of the transporter and conformational changes in the transmembrane helices [21]. ...

Intrinsically disordered ectodomain modulates ion permeation through a metal transporter

Proceedings of the National Academy of Sciences

... To evaluate the stability of the proposed coordination spheres, we first equilibrated the system by classical MD simulations, followed by more accurate QM/MM MD, based on the DFT-BLYP level of theory for the QM part and on Amber ff14SB (protein) and χ OL3 (RNA) force fields for the MM part ( Supplementary Fig. 1) 23 . Since in the C state, the branching reaction is already completed, we rebuilt the reactant state by breaking the non-canonical 2'-5' bond between BPA and G( + 1) and restoring the bond between G(−1)-O3' and G(+1)-P (Fig. 1b). ...

Establishing the catalytic and regulatory mechanism of RNA ‐based machineries
  • Citing Article
  • October 2022

Wiley interdisciplinary reviews: Computational Molecular Science.

... In particular, proteins are decorated with chelating amino acids such as histidines, forming an intramolecular interface that has been used, for example, to guide the formation of a 16-helix structure with zinc as a bridging metal (Salgado et al., 2007) (PDB ID: 2QLA). Metals have also been used to achieve reversible regulation of the assembly through changes in pH to modify the protonation state of histidines or the addition of EDTA as a chelating agent (Aupič et al., 2024). Rules that control the strength, directionality, and selectivity of the assembly have been presented in an approach called "metal-directed protein self-assembly" (Salgado et al., 2010). ...

Metal ion–regulated assembly of designed modular protein cages

Science Advances

... Next, we deployed enhanced sampling simulations, i.e., metadynamics (MTD) simulations in this work, to study the process of metal release from the transport site into the cytoplasm. MTD simulations have been used to study substrate binding and release in various transporters [43][44][45][46] , but have not been applied to any highly charged system like BbZIP due to the challenges in simulating the behaviors of transition metals. Established on our recent work on zinc binding to various ligands 47,48 , we systematically identified the optimal configuration of parameters governing the system dynamics and addressed the pressing issue of zinc translocation through BbZIP by using volumetric collective variables (CVs) and iteratively optimizing the MTD simulation parameters. ...

The Conformational Plasticity of the Selectivity Filter Methionines Controls the In-Cell Cu(I) Uptake through the CTR1 transporter

QRB Discovery

... We recently showed that each monomer of the hCtr1 extracellular domains binds two Cu(II) ions, resulting in a total of six Cu(II) ions per hCtr1 trimer. These results were derived from various in vitro EPR, UV-Vis measurements, and MD simulations on the full-length hCtr1 protein [22]. We also showed that a hCtr1 monomer can coordinate up to five Cu(I) ions and that the intracellular domain of hCtr1 occupies various conformational states as a function of Cu(I) concentration. ...

Dynamical interplay between the human high-affinity copper transporter hCtr1 and its cognate metal ion

Biophysical Journal

... When considering the binding of Cu(I) in the selectivity filter, simulations were begun from the position occupied in the crystal structure (PDB: 6m98) (11), where both Cu(I) ions lie below the plane of the Met-triad to which they bind and are 7.22 Å apart. The coordination distance is 2. (61). The root-mean-square deviation (RMSD) of the QM/MM MD-optimized selectivity filter was 5.3 Å with respect to the crystal structure (Fig. S9). ...

The Conformational Plasticity of the Selectivity Filter Methionines Controls the In-Cell Cu(I) Uptake through the CTR1 transporter

... To comprehensively characterize these vehicles, we developed a screening method that allowed monitoring of three relevant dimensions: STV release (1), STV uptake (2), and RNA transfer e ciency (3). We created a reporter cell line expressing the N-split part (LgBiT 20 ) of NanoLuciferase (Nluc), as well as the C-split part (C-Fluc) of Fire y Luciferase (Fluc), fused to an N6 coil and the GP41-1 C-intein 21,22 . The STV constructs contained a HiBiT tag that enabled quanti cation of STV release into the supernatant of producer cells (1). ...

Coiled-coil heterodimers with increased stability for cellular regulation and sensing SARS-CoV-2 spike protein-mediated cell fusion