Les canaux ioniques pentamériques activables par un ligand (pLGIC) sont l'une des principales familles de canaux transmembranaires. Ils permettent la transduction rapide du signal dans le système nerveux central et périphérique via la liaison de neurotransmetteurs. Les pLGIC sont également présents chez les archées et les bactéries. Seuls deux pLGIC bactériens ont été caractérisés biochimiquement et structurellement jusqu'à présent (GLIC et ELIC). Ils servent de modèle d’étude à de nombreux scientifiques et ont été largement étudiés aussi bien au niveau fonctionnel que structural. Dans la première partie de mon travail de thèse, j'ai purifié, cristallisé et résolu la structure cristalline d'un nouveau pLGIC originaire d'un symbiote de gamma-protéobactérie de Tevnia jerichonana (sTeLIC). Des expériences fonctionnelles montrent que sTeLIC est activé par un pH alcalin, est sélectif pour les ions cationiques monovalents et inhibé par les cations divalents. La structure cristalline résolue à pH 8,0 présente un pore largement ouvert qui est le premier de ce type à être caractérisé dans cette famille pLGIC. De plus, nous avons identifié un modulateur fortement positif qui se lie au "site vestibulaire" dans le domaine extracellulaire, et nous avons résolu la structure cristalline de ce complexe. Des expériences fonctionnelles montrent également que sTeLIC partage de nombreuses fonctionnalités avec ELIC. ELIC et sTeLIC constitutent les archétypes d’une nouvelle classe de pLGICs, dont la forme active se caractérise par un pore largement plus ouvert que les autres pLGICs.Dans la deuxième partie de mon travail de thèse, les résidus senseurs de protons dans GLIC ont été cartographiés, afin de déterminer comment la liaison du proton stabilise l'état ouvert de GLIC. Tous les résidus titrables de GLIC ont été cartographiés par mutagenèse dirigée afin de découvrir des capteurs de protons impliqués dans le processus de déclenchement. Nous avons ainsi démontré que la résidu E35 est un résidu clé, dont la forme chargée stabilise l’état de repos, et la forme protonée l'état actif. Nous avons également démontré que la réponse au proton dépend de deux réseaux distincts à l'interface ECD-TMD qui stabilisent l'état ouvert de GLIC. Dans la troisième partie, j'ai cloné, purifié, cristallisé et déterminé les structures cristallines des formes ouvertes et fermées de DeCLIC, un pLGIC de la protéobactérie Desulfofustis. Chaque sous-unité contient un grand domaine additionnel N-terminal constitué de deux sous-domaines (NTD1 et NTD2). Il s’agit de la première structure d’un pLGIC qui contient un domaine supplémentaire extracellulaire non-canonique. / Ligand-gated pentameric ion channels (pLGIC) are one of the major families of transmembrane receptors. They allow rapid signal transduction in the central and peripheral nervous systems via neurotransmitters binding. PLGICs are also present in archaea and bacteria. Only two bacterial pLGICs have been biochemically and structurally characterized so far (GLIC and ELIC). They serve as working models for many scientists and have been extensively studied both at the functional and structural levels. In the first part of my thesis, I purified, crystallized and solved the crystal structure of a new pLGIC from gamma-proteobacterial symbionts of Tevnia jerichonana (sTeLIC). Functional experiments show that sTeLIC is activated by alkaline pH, and is selective for monovalent cationic ions and inhibited by divalent cations. The crystal structure solved at pH 8.0 displays a widely open pore that is the first of this kind to be characterized in the pLGIC family. In addition, we identified a strongly positive modulator that binds to the "vestibule site" in the extracellular domain, and we solved the crystal structure of this complex. Functional experiments show that sTeLIC shares many features with ELIC. ELIC and sTeLIC are the archetypes of a new class of pLGICs, whose active form is characterized by a much more open pore than other pLGICs. In the second part of my thesis, the proton sensor residues in GLIC have been mapped. All titratable GLIC residues were tested by site-directed mutagenesis to discover proton sensors involved in the triggering process. We have demonstrated that the residue E35 is a key residue, whose charged form stabilizes the resting state, and the protonated form the active state. We have also demonstrated that the proton response is dependent on two distinct networks at the ECD-TMD interface, which stabilize the open state of GLIC.In the third part of my thesis, I cloned, purified, crystallized and determined the crystal structures of the open and closed forms of DeCLIC, a pLGIC of Desulfofustis proteobacterium. Each subunit contains a large N-terminal additional domain consisting of two subdomains (NTD1 and NTD2). This is the first structure of a pLGIC which contains a non-canonical additional extracellular domain.

Pentameric ligand-gated ion channels (pLGICs) are membrane-embedded receptors found extensively in pre- and post-synaptic membranes throughout the nervous system where they play an important role in neurotransmission. The function of the prototypic pLGIC, the nicotinic acetylcholine receptor (nAChR) is highly sensitive to changes in its lipid environment, while other pLGICs display varying lipid sensitivities. This thesis presents a multidisciplinary investigation into the features of the transmembrane domain (TMD) that determine the unique functional and physical traits of different pLGICs. Using two prokaryotic homologues of the nAChR, ELIC and GLIC, as models, I focus on the outermost, lipid-exposed α-helix, M4, which, despite being distant from the primary allosteric pathway coupling agonist binding to channel gating, exercises significant control over channel function. Here, I present evidence that M4 acts as a lipid sensor, detecting changes in the surrounding lipids and transmitting these changes to the channel pore via contacts with the adjacent TMD α-helices, M1 and M3, and/or with structures in the extracellular domain. Using ELIC and GLIC chimeras, I first show that the TMD is the main driver of pLGIC thermal stability. I then demonstrate that the M4 α-helices in each channel play different roles in channel maturation and function, which suggests a divergent evolutionary path. Following this, I show that the M4 C-terminus is essential to both maturation and function in GLIC, while in ELIC its role is less defined, again showcasing possible evolutionary differences. Building on these findings, I examined the role of aromatic residues at the M4 – M1/M3 interface, and found that they predictably determine the interactions between M4 and M1/M3. Notably, the addition of aromatic residues to enhance M4-M1/M3 interactions in ELIC promotes channel function, while the elimination of aromatic residues at the M4-M1/M3 interface in GLIC is detrimental to channel function. Furthermore, I show that these same aromatics alter the strength of pLGIC lipid sensing and the sensitivity to certain disease-causing mutations, both indicating that aromatic residues are key players in channel function, stability and modulation. Finally, I and my collaborators identified and characterized a novel desensitization-linked lipid binding site in ELIC. Extensive mutagenesis studies coupled with biophysical measurements allowed us to develop a model describing how lipid binding influences the rates of ELIC desensitization to shape the agonist-induced response.

GLIC är en pH-känslig pentamerisk ligandstyrd jonkanal (pLGIC) som finns i cellmembranet hos prokaryoten Gloeobacter violaceus. GLIC är en bakteriell homolog till flera receptorer som är viktiga i nervsystemet hos de flesta eukaryotiska organismer. Dessa receptorer fungerar som mallar för utvecklingen av målstyrda bedövnings- och stimulerande läkemedel som påverkar nervsystemet. Förståelsen av ett proteins mekanismer har därför hög prioritet inför läkemedelsutvecklingen. Eukaryota pLGICs är dock mycket komplexa eftersom några av de är heteromera, har flera domäner, och de pågår eftertranslationella ändringar. GLIC, å andra sidan, har en enklare struktur och det räcker att analysera strukturen av en subenhet - eftersom alla subenheter är helt lika. Flertalet möjliga grindmekanismer föreslogs av vetenskapen men riktiga öppningsmekanismen av GLIC är fortfarande oklar. Projektets mål är att genomföra maskininlärning (ML) för att upptäcka nya grindmekanismer med hjälp av datormetoder. Urspungsdatan togs från tidigare forskning där andra ML-redskap såsom molekyldynamik (MD), elastisk nätverksstyrd Brownsk dynamik (eBDIMS) och Markovstillståndsmodeller (MSM) användes. Utifrån dessa redskap simulerades proteinet som vildtyp samt med funktionsförstärkt mutation vid två olika pH värden. Fem makrotillstånd byggdes: två öppna, två stängda och ett mellanliggande. I projektet användes ett annat ML redskap: KL-divergens. Detta redskap användes för att hitta skillnader i avståndfördelning mellan öppet och stängt makrotillstånd. Utifrån ursprungsdatan byggdes en tensor som lagrade alla parvisa aminosyrornas avstånd. Varje aminosyrapar hade sin egen metadata som i sin tur användes för att frambringa alla fem avståndsfördelningar fråm MSMs som byggdes i förväg. Sedan bräknades medel-KL-divergens mellan två avståndfördelningar av intresse för att filtrera bort aminosyropar med överlappande avståndsfördelningar. För att se till att aminosyror inom aminosyrapar som låg kvar kan påverka varandra, filtrerades bort alla par vars minsta och medelavstånd var stora. De kvarvarande aminosyroparen utvärderades i förhållande till alla fem makrotillstånd Viktiga nya grindmekanismer som hittades genom både KL-divergens och makrotillståndsfördelningar innefattade loopen mellan M2-M3 helixarna av en subenhet och både loopen mellan sträckor β8 och β9 (Loop F)/N-terminal β9-sträckan och pre-M1/N-terminal M1 av närliggande subenheten. Loopen mellan sträckor β8 och β9 (Loop F) visade höga KL-värden också med loopen mellan sträckor β1 och β2 loop samt med loopen mellan sträckor β6 och β7 (Pro-loop) och avståndet mellan aminosyror minskade vid kanalens grind. Övriga intressanta grindmekanismer innefattade parning av aminosyror från loopen β4-β5 (Loop A) med aminosyror från sträckor β1 och β6 samt böjning av kanalen porangränsande helix. KL-divergens påvisades vara ett viktigt redskap för att filtrera tillgänglig data och de nya grindmekanismer kan bli användbara både för akademin, som vill reda ut GLIC:s fullständiga grindmekanismer, och läkemedelsföretag, som letar efter bindningsställen inom molekylen för att utveckla nya läkemedel. / GLIC is a transmembrane proton-gated pentameric ligand-gated ion channel (pLGIC) that is found in the prokaryote Gloeobacter violaceus. GLIC is the prokaryotic homolog to several receptors that are found in the nervous system of many eukaryotic organisms. These receptors are targets for the development of pharmaceutical drugs that interfere with the gating of these channels - such drugs involve anesthetics and stimulants. Understanding the mechanism of a drug’s target is a high priority for the development of a novel medicine. However, eukaryotic pLGICs are complex to analyse, because some of them are heteromeric, have more domains, and because of their post-translational modifications (PTMs). GLIC, on the other hand, has a simpler structure and it is enough to study the structure of only one subunit - since all subunits are identical. Several possible gating mechanisms have been proposed by the scientific community, but the complete gating of GLIC remains unclear. The goal of this project is to implement machine learning (ML) to discover novel gating mechanisms by computational approaches. The starting data was extracted from a previous research where computational tools like unbiased molecular dynamics (MD), elastic network-driven Brownian Dynamics (eBDIMS), and Markov state models (MSMs) were used. From those tools, the protein was simulated in wild-type and in a gain-of-function mutation at two different pH values. Five macrostates were constructed: two open, two closed, and an intermediate. In this project another ML tool was used: KL divergence. This tool was used to score the difference between the distance distributions of one open and one closed macrostate. The starting data was used to create a tensor that stored all residue-residue distances. Each residue pair had its own metadata, which in turn was used to yield the distance distributions of all five pre-build MSMs. Then the average KL scores between two states of interest were calculated and were used to filter out the residue pairs with overlapping distance distributions. To make sure that the residues within a pair can interact with each other, all residue pairs with very high minimum and average distance were filtered out as well. The residue pairs that remained were later evaluated across all five macrostates for further studies. Important novel mechanisms discovered in this project through both the KL divergence and the macrostate distributions involved the M2-M3 loop of one subunit and both the β8-β9 loop/N-terminal β9 strand and the preM1/N-terminal M1 region of the neighboring subunit. The β8-β9 loop (Loop F) showed high KL scores with the β1-β2 and β6-β7 (Pro-loop) loops as well with decreasing distances upon the channel’s opening. Other notable gating mechanisms involved are the pairing of residues from the β1-β2 loop (Loop A) with residues from the strands β1 and β6, as well as the kink of the pore-lining helix. KL divergence proved a valuable tool to filter available data and the novel mechanisms can prove useful both to the academic community that seeks to unravel the complete gating mechanism of GLIC and to the pharmaceutical companies that search for new binding sites within the molecule for new drugs.