bioRxiv Science⌕ Search

Biology subjects

Orozco, M.

Publications and source records attributed to Orozco, M..

At least 19 recordsLinked to original sources

Structural basis of selective phospholipid recognition and local membrane deformation by CTL1

The physiological function of the human choline transporter-like protein CTL1 (SLC44A1) remains elusive despite its implication in key pathophysiological processes. Here we combine cryo-electron microscopy, native mass spectrometry, lipidomics, molecular dynamics simulations and functional assays to characterise the molecular basis of phospholipid recognition by CTL1 and explore its potential molecular role. High-resolution structures of CTL1 in both monomeric and dimeric states reveal a broad amphipathic cavity and an extracellular domain that accommodate multiple phospholipid species, identifying phosphatidylethanolamine, phosphatidylserine, phosphatidylinositol and phosphatidic acid as endogenous CTL1 ligands. Molecular dynamics simulations show spontaneous phospholipid recruitment into these conserved binding sites accompanied by membrane thinning, curvature and local phospholipid reorganisation, with membrane deformation being enhanced upon dimerisation. Functional analyses in mammalian cells and in reconstituted proteoliposomes failed to detect CTL1-mediated choline transport, supporting a function distinct from canonical choline uptake. Together, our findings suggest that CTL1 acts as a phospholipid-binding protein capable of locally deforming the membrane and provide a structural framework linking phospholipid recognition to membrane organisation. These results offer new insights into potential mechanisms underlying the altered phospholipid homeostasis associated with CTL1 dysfunction in neurological diseases and cancer.

biophysics↗

Remotely Presenting Alcohol-predicting Cues Avoids Confound of Experimenter as First Cue and Reveals Sex-specific Behaviors that Predict the Rate and Amount of Alcohol Consumption

Understanding the neurobiological systems that regulate alcohol cue-induced craving is of utmost importance for the development of novel intervention strategies for alcohol use disorders (AUDs). However, although a human experimenter is required to conduct alcohol self-administration studies in the lab, the cues associated with the experimenter are seldom if ever factored into the experimental design. Thus, although we have learned much to date about alcohol cue-induced behavior and neurobiology, and in particular about discrete cues presented many times throughout a single daily alcohol self-administration session, we know relatively little about how responses to alcohol availability cues might predict subsequent alcohol consumption. For the current experiment, mice were exposed daily to auditory cues that preceded 2 hours of alcohol or water access using drinking-in-the-dark (DID) methods. An additional control group experienced cues but were not otherwise manipulated. Importantly, cues were initiated remotely from outside the animal facility, avoiding the experimenter being the first cue predicting ethanol availability. Head direction, location in the home cage, and movement velocity were the primary variables on interest. Surprisingly, during the cue period, there were no significant differences between groups in any of these measures, despite meaningful alterations over days. However, we observed many significant correlations between behaviors and drinking variables. First, we observed significant positive associations between ambulatory velocity during cues and subsequent total alcohol (R2=0.14; p<0.0001) and total water (R2=0.12; p=0.0002) consumption, but only in females. We also observed a significant positive relationship (R2=0.25; p<0.0001) between the amount of time oriented toward the sipper port during the auditory cues and the average rate of subsequent alcohol consumption (i.e. front-loading), but only in females. In males, head direction was found to be positively associated with subsequent total water consumption (R2=-0.21; p<0.0001), but not alcohol (R2=-0.01; p=0.2267). We also observed a significant negative relationship (R2=-0.15; p<0.0001) between proximity to the sipper during the cue period and subsequent total 2-hour alcohol intake in males. Although these associations were modest in strength, they suggest potential sex-specific behavioral predictors of alcohol consumption that are regulated by different neural dynamics.

animal behavior and cognition↗

Structural and functional basis of the non-canonical human Dicer-tRNA complex

Human Dicer (hDicer) is a key enzyme in the RNA interference (RNAi) pathway that generates [~]21-22 nt micro-RNA (miRNAs) and small interfering RNAs (siRNAs). We have previously shown that hDicer also generates tRNA-derived small RNAs (tsRNAs), which mediate nuclear gene silencing and regulate hundreds of disease-associated genes. As powerful and evolutionarily conserved cellular regulators, tsRNAs emerged as an important class of small RNAs. Therefore, it is essential to understand their biogenesis. However, the molecular and structural basis of tRNA cleavage by hDicer, as well as the role of chemical modifications such as 5-methylcytosine (m5C), in this process, remain unknown. Here, we present the first structural insights into hDicer in complex with tRNA, obtained by cryo-electron microscopy (cryo-EM), selective 2'-hydroxyl acylation analyzed by primer extension (SHAPE) and molecular dynamics (MD) simulations. Our results reveal that tRNAs adopt alternative conformations that are recognized and processed by hDicer. Furthermore, we show that tRNA cleavage by hDicer is facilitated by the m5C modification deposited by Nop2/SUN RNA methyltransferase 2 (NSUN2). Collectively, our findings redefine tRNAs as bona fide hDicer substrates and uncover a modification-dependent biogenetic pathway that reshapes the current understanding of the origins and regulation of human small RNAs. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=73 SRC="FIGDIR/small/744379v1_ufig1.gif" ALT="Figure 1000"> View larger version (24K): org.highwire.dtl.DTLVardef@14a8682org.highwire.dtl.DTLVardef@1c4d0daorg.highwire.dtl.DTLVardef@6bc433org.highwire.dtl.DTLVardef@11e27e1_HPS_FORMAT_FIGEXP M_FIG C_FIG

molecular biology↗

When lipids embrace RNA: pH-driven dynamics and mechanisms of LNP-mediated siRNA delivery

We present a comprehensive analysis of an efficient lipid nanoparticle (LNP) formulation that exhibits strong nucleic-acid delivery and potent inhibition of targeted RNAs. Using a combination of coarse-grained and atomistic molecular dynamics simulations, we characterized the pH-dependent structure of both unloaded and RNA-loaded LNPs, elucidated the mechanism of RNA encapsulation, and used these models to propose a plausible mechanism of endosomal escape. Consistent with prior experimental and computational studies, our simulations reproduce an inverted-hexagonal-type morphology in RNA-loaded LNPs, in which a hydrated core provides a polar environment suitable for accommodating RNA, whose charge is neutralized mainly by ionizable lipids that remain protonated near the RNA even at high pH, thereby bridging the RNA with the surrounding lipid environment. This structural picture is consistently observed across our multiscale simulations, with smaller self-assembled LNP mimetics reproducing the same local organization at both coarse-grained and atomistic resolution. A potential mechanism of endosomal escape emerges spontaneously from the simulations, involving stalk formation between the LNP and the endosomal membrane, followed by the opening of a water-filled pore that permits slow RNA diffusion, in line with the low efficiency and slow kinetics reported for endosomal escape. The rate-limiting step of endosomal escape arises from persistent electrostatic coupling between RNA and protonated ionizable lipids maintained by the immediate RNA-lipid environment, hindering cargo disengagement even after pore formation. This delayed release is consistent with the experimentally observed time-dependent inhibitory activity of the loaded LNP. Together, these results highlight the importance of local pK and protonation effects near the RNA, which are not captured by global apparent pK measurements.

biophysics↗

Near-atomistic simulations reveal the molecular principles that control chromatin structure and phase separation

Understanding how chromatins physicochemical properties shape its emergent organisation is central to deciphering genome function. To address this, we present OpenCGChromatin, a high-performance coarse-grained model that achieves near-atomistic simulations of chromatin systems an order of magnitude larger than previously possible, spanning biomolecular condensates and fibers tens of kilobases in length. OpenCGChromatin simulations independently predict, from physicochemical principles, the linker-DNA-dependent chromatin structures observed by cryo-ET and the relative thermodynamic stability of condensates inferred from biochemical assays. Crucially, OpenCGChromatin resolves histone-tail dynamics and interaction networks that remain inaccessible experimentally, explaining how linker-DNA length controls histone tail accessibility and the resulting multiscale structure of chromatin condensates. Extending simulations to 108-nucleosome fibers shows that acetylation disrupts chromatin compaction in a pattern-specific manner by weakening key tail-mediated interactions, with H4K16 and H3K9 emerging as the most energetically disruptive modifications. These results position OpenCGChromatin as a powerful framework for linking molecular detail to emergent chromatin organization.

biophysics↗

Dually-decorated palmitate-containing lipid nanoparticles for the targeted delivery of siRNAs against HER2 and Hsp27 in HER2+ breast cancer

Ionizable lipid nanoparticles (LNPs) have enabled significant advances in oligonucleotide therapeutics, culminating in the clinical approval of an siRNA-based formulation. Unfortunately, practical use of siRNA containing LNPs is still hampered by difficulties, one of them directing LNPs toward specific cells. To improve cell-specific delivery, we have developed a new generation of palmitate-containing ionizable LNPs functionalized with two distinct ligands: i) a targeting peptide (octreotide, Oct), for selective recognition of somatostatin receptor 2 (SSTR2)-expressing tumor cells, and ii) a cell penetrating peptide (penetratin, RK16) to enhance intracellular delivery. This dually-decorated LNP was used to co-deliver two siRNAs targeting key mediators of drug resistance in HER2+ breast cancer -Hsp27 and HER2- demonstrating strong potential for combinatorial RNAi-based therapies. The Oct moiety conferred high selectivity toward malignant SSTR2-overexpresing (SSTR2OE) HER2+ BC cells, even in heterogeneous environments containing non-tumor epithelial cells. Simultaneously, the RK16 peptide facilitated enhanced intracellular delivery, resulting in improved antiproliferative activity and a notable reduction in the SSTR2-overexpressing cell population compared to non-functionalized LNPs. Taken together, the structural design and biological performance of this novel class of LNP formulation establish it as a versatile and innovative delivery platform for ON-based targeted therapies. By simply altering the targeting peptide moiety and siRNA combination, this dually-functionalized LNP system could be readily adapted for a broad range of tumors and combination treatment strategies. Finally, the inclusion of palmitic acid in the LNP composition selectively contributes to cytotoxicity in palmitate sensitive cell lines, such as SK-BR-3, offering an additional therapeutic advantage when targeting these tumor subtypes.

biochemistry↗

Molecular Simulations Meet Personalized Medicine. The Mechanism of Action of ClC-5 Antiporter and the Origin of Dent's Disease

ClC-5 is a Cl-/H+ antiporter crucial for the homeostasis of the entire organism, and whose functional deficiencies cause pathologies such as Dents disease, a rare genetic disorder that can have lethal consequences. While the clinical aspects of the pathology are known, its molecular basis is elusive, which hampers the development of potential therapies. We present here a systematic study, where we explore the mechanism of transport of ClC-5, deciphering the choreography of structural changes required for the transport of chloride ions and protons in opposing directions. Once the mechanism is determined, we explore how the 523{Delta}Val deletion linked to Dents disease hampers the correct functioning of the transporter, despite having a very minor structural impact. Our study highlights how state-of-the-art simulation methods can provide information on the origin of rare diseases and serve as a tool in personalized medicine.

biophysics↗

Mechanism of expanded DNA recognition in xCas9

xCas9 is an evolved variant of the CRISPR-Cas9 genome editing system, engineered to improve specificity and reduce undesired off-target effects. How xCas9 expands the DNA targeting capability of Cas9 by recognizing a series of alternative Protospacer Adjacent Motif (PAM) sequences while ignoring others is unknown. Here, we elucidate the molecular mechanism underlying xCas9s expanded PAM recognition and provide critical insights for expanding DNA targeting. We demonstrate that while wild-type Cas9 enforces stringent guanine selection through the rigidity of its interacting arginine dyad, xCas9 introduces flexibility in R1335, enabling selective recognition of specific PAM sequences. This increased flexibility confers a pronounced entropic preference, which also improves recognition of the canonical TGG PAM. Furthermore, xCas9 enhances DNA binding to alternative PAM sequences during the early evolution cycles, while favouring binding to the canonical PAM in the final evolution cycle. This dual functionality highlights how xCas9 broadens PAM recognition and underscores the importance of fine-tuning the flexibility of the PAM-interacting cleft as a key strategy for expanding the DNA targeting potential of CRISPR-Cas systems. These findings deepen our understanding of DNA recognition in xCas9 and may apply to other CRISPR-Cas systems with similar PAM recognition requirements.

biophysics↗

SETD8 inhibition targets cancer cells with increased rates of ribosome biogenesis

SETD8 is a methyltransferase that is overexpressed in several cancers, which monomethylates H4K20 as well as other non-histone targets such as PCNA or p53. We here report novel SETD8 inhibitors, which were discovered while trying to identify chemicals that prevent 53BP1 foci formation, an event mediated by H4K20 methylation. Consistent with previous reports, SETD8 inhibitors induce p53 expression, although they are equally toxic for p53-deficient cells. Thermal stability proteomics revealed that the compounds had a particular impact on nucleoli, which was confirmed by fluorescent and electron microscopy. Similarly, Setd8 deletion generated nucleolar stress and impaired ribosome biogenesis, confirming that this was an on-target effect of SETD8 inhibitors. Furthermore, a genome-wide CRISPR screen identified an enrichment of nucleolar factors among those modulating the toxicity of SETD8 inhibitors. Accordingly, the toxicity of SETD8 inhibitors correlated with MYC or mTOR activity, key regulators of ribosome biogenesis. Together, our study provides a new class of SETD8 inhibitors and a novel biomarker to identify tumors most likely to respond to this therapy.

cancer biology↗

Systematic study of hybrid triplex topology and stability suggests a general triplex-mediated regulatory mechanism

By combining in-silico, biophysical and in-cellulo experiments, we decipher the topology, physical and potential biological properties of hybrid-parallel nucleic acids triplexes; an elusive structure at the basis of life. We found that hybrid triplex topology follows a stability order: r(Py)-d(Pu){middle dot}r(Py)> r(Py)-d(Pu){middle dot}d(Py)> d(Py)-d(Pu){middle dot}d(Py)> d(Py)-d(Pu){middle dot}r(Py). The r(Py)-d(Pu){middle dot}d(Py) triplex is expected to be the preferred in the cell as it avoids the need to open the duplex reducing the torsional stress required for triplex formation in the r(Py)-d(Pu){middle dot}r(Py) topology. Upon a massive collection of melting data, we have created the first predictor for hybrid triplex stability. Leveraging this predictor, we conducted a comprehensive scan to assess the likelihood of the human genome and transcriptome to engage in triplex formation. Our findings unveil a remarkable inclination - of both the human genome and transcriptome - to generate hybrid triplex formation, particularly within untranslated (UTRs) and regulatory regions, thereby corroborating the existence of a triplex-mediated regulatory mechanism. Furthermore, we found a correlation between nucleosome linkers and TFS which agree with a putative role of triplexes in arranging chromatin structure and local/global level.

molecular biology↗

Conserved Lysine in transmembrane helix 5 is key for the inner gating of the LAT transporter BasC

L-amino acid transporters (LATs) play a key role in a wide range of physiological processes. Defects in LATs can lead to neurological disorders and aminoacidurias, while the overexpression of these transporters is related to cancer. BasC is a bacterial LAT transporter with an APC fold. In this study, to monitor the cytoplasmic motion of BasC, we developed a smFRET assay that can characterize the conformational states of the intracellular gate in solution at room temperature. Based on combined biochemical and biophysical data and molecular dynamics simulations, we propose a model in which the conserved lysine residue in TM5 supports TM1a to explore both open and closed states within the cytoplasmic gate under apo conditions. This equilibrium can be altered by substrates, mutation of conserved lysine 154 in TM5, or transport-blocking nanobodies. Overall, these findings provide insights into the transport mechanism of BasC and highlight the significance of the lysine residue in TM5 in the cytoplasmic gating of LATs.

biochemistry↗

Proton Transfers to DNA in Native Electrospray Ionization Mass Spectrometry: A QM/MM Study.

Native electrospray ionization - ion mobility mass spectrometry (N-ESI/IM-MS) is a powerful approach for low-resolution structural studies of DNAs in the free state and in complex with ligands. Solvent vaporization is coupled with proton transfers from ammonium ions to the DNA resulting in a reduction of the DNA charge. Here we provide insight on these processes by classical MD and QM/MM free energy calculations on the (GpCpGpApApGpC) heptamer, for which a wealth of experiments is available. Our multiscale simulations, consistent with experimental data, reveal a highly complex scenario: the proton either sits on one of the molecules or is fully delocalized on both, depending on the level of hydration of the analytes and on size of the droplets formed during the electrospray experiments. This work complements our previous study on the intramolecular proton transfer on the same heptamer occurring after the processes studied here, and, together, provide a first molecular view of proton transfer in N-ESI/IM-MS. TOC GRAPHICS O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=200 SRC="FIGDIR/small/511116v1_ufig1.gif" ALT="Figure 1"> View larger version (67K): org.highwire.dtl.DTLVardef@3d85d3org.highwire.dtl.DTLVardef@11ce1d1org.highwire.dtl.DTLVardef@12d932corg.highwire.dtl.DTLVardef@1196de8_HPS_FORMAT_FIGEXP M_FIG C_FIG

biophysics↗

DNAffinity: A MACHINE-LEARNING APPROACH TO PREDICT DNA BINDING AFFINITIES OF TRANSCRIPTION FACTORS

We present a physics-based machine learning approach to predict in vitro transcription factor binding affinities from structural and mechanical DNA properties directly derived from atomistic molecular dynamics simulations. The method is able to predict affinities obtained with techniques as different as uPBM, gcPBM and HT-SELEX with an excellent performance, much better than existing algorithms. Due to its nature, the method can be extended to epigenetic variants, mismatches, mutations, or any non-coding nucleobases. When complemented with chromatin structure information, our in vitro trained method provides also good estimates of in vivo binding sites in yeast.

molecular biology↗

The Pseudo-Torsional Space of RNA

The characterization of the conformational landscape of the RNA backbone is rather complex due to the ability of RNA to assume a big variety of conformations. These backbone conformations can be depicted by pseudo-torsional angles linking RNA backbone atoms, from which Ramachandran-like plots can be built. We explored here different definitions of these pseudo-torsional angles, finding that the most accurate ones are the traditional {eta} (eta) and {theta} (theta) angles, which represent the relative position of RNA backbone atoms P and C4. We explore the distribution of {eta}-{theta} in known experimental structures, comparing the pseudo-torsional space generated with structures determined exclusively by one experimental technique. We found that the complete picture only appears when combining data from different sources. The maps provide a quite comprehensive representation of the RNA accessible space, which can be used in RNA-structural prediction. Finally, our results highlight that protein interactions leads to significant changes in the population of the {eta}-{theta} space, pointing towards the role of induced-fit mechanisms in protein-RNA recognition.

bioinformatics↗

A glutamine-based single α-helix scaffold to target globular proteins

The binding of intrinsically disordered proteins to globular ones often requires the folding of motifs into [a]-helices. These interactions offer opportunities for therapeutic intervention but their modulation with small molecules is challenging because they bury large surfaces. Linear peptides that display the residues that are key for binding can be targeted to globular proteins when they form stable helices, which in most cases requires their chemical modification. Here we present rules to design peptides that fold into single [a]-helices by instead concatenating glutamine side chain to main chain hydrogen bonds recently discovered in polyglutamine helices. The resulting peptides are uncharged, contain only natural amino acids, and their sequences can be optimized to interact with specific targets. Our results provide design rules to obtain single [a]-helices for a wide range of applications in protein engineering and drug design.

biophysics↗

Prediction Of The Impact Of Genetic Variability On Drug Sensitivity For Clinically Relevant EGFR Mutations

Mutations in the kinase domain of the Epidermal Growth Factor Receptor (EGFR) can be drivers of cancer and also trigger drug resistance in patients under chemotherapy treatment based on kinase inhibitors use. A priori knowledge of the impact of EGFR variants on drug sensitivity would help to optimize chemotherapy and to design new drugs effective against resistant variants. To this end, we have explored a variety of in silico methods, from sequence-based to state-of-the-art atomistic simulations. We did not find any sequence signal that can provide clues on when a drug-related mutation appears and what will be the impact in drug activity. Low-level simulation methods provide limited qualitative information on regions where mutations are likely to produce alterations in drug activity and can predict around 70% of the impact of mutations on drug efficiency. High-level simulations based on non-equilibrium alchemical free energy calculations show predictive power. The integration of these state-of-the-art methods in a workflow implementing an interface for parallel distribution of the calculations allows its automatic and high-throughput use, even for researchers with moderate experience in molecular simulations.

biochemistry↗

The structural role of SARS-CoV-2 genetic background in the emergence and success of spike mutations: the case of the spike A222V mutation

The S:A222V point mutation, within the G clade, was characteristic of the 20E (EU1) SARS-CoV-2 variant identified in Spain in early summer 2020. This mutation has now reappeared in the Delta subvariant AY.4.2, raising questions about its specific effect on viral infection. We report combined serological, functional, structural and computational studies characterizing the impact of this mutation. Our results reveal that S:A222V promotes an increased RBD opening and slightly increases ACE2 binding as compared to the parent S:D614G clade. Finally, S:A222V does not reduce sera neutralization capacity, suggesting it does not affect vaccine effectiveness.

molecular biology↗

THE IMPACT OF THE HYDROXYMETHYLCYTOSINE EPIGENETIC SIGNATURE ON DNA STRUCTURE AND FUNCTION

We present a comprehensive, experimental and theoretical study of the impact of 5-hydroxymethylation of DNA cytosine. Using molecular dynamics, biophysical experiments and NMR spectroscopy, we found that Ten-Eleven translocation (TET) dioxygenases generate an epigenetic variant with structural and physical properties not too different to those of 5-methylcytosine. Experiments and simulations demonstrate that 5-methyl-cytosine (mC) and 5-hydroxymethyl-cytosine (hmC) generally lead to more rigid duplexes with poorer circularization efficiencies and lower ability to form nucleosomes. In particular, we can rule out the hypothesis that hydroxymethylation reverts to unmodified cytosine physical properties, as hmC is even more rigid than mC. Thus, we do not expect dramatic changes in the chromatin structure induced by differences in physical properties between d(mCpG) and d(hmCpG). On the contrary, our simulations suggest that methylated-DNA binding domains (MBD), associated with repression activities, are very sensitive to the substitution d(mCpG)[->] d(hmCpG), while MBD3 which has a dual activation/repression activity is not sensitive to the d(mCpG) [->] d(hmCpG) change. Overall, while changes in gene activity due to cytosine methylation are the result of the combination of stiffness-related chromatin reorganization and MBD binding, those associated to 5-hydroxylation of methylcytosine could be explained by a change in the balance of repression/activation pathways related to differential MBD binding.

biochemistry↗