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Venclovas, C.

Publications and source records attributed to Venclovas, C..

9 recordsLinked to original sources

Csx15 is a broad specificity ring nuclease bridging CRISPR-Cas and CBASS cyclic nucleotide signaling systems

Prokaryotic antiviral type III CRISPR-Cas and CBASS systems use cyclic nucleotides as second messengers to activate diverse effector proteins. Whereas CBASS signaling typically triggers abortive infection, type III CRISPR-Cas signaling is tightly regulated through controlled signal production and degradation. Here, we define the molecular mechanism of the CRISPR-associated Csx15 protein family and demonstrate that Csx15 functions as a broad specificity ring nuclease capable of degrading cyclic nucleotide signals from both CRISPR-Cas and CBASS pathways. Structural and biochemical analyses reveal that Csx15 adopts diverse oligomeric states and undergoes ligand-induced conformational transitions that promote filament assembly required for catalytic activity, analogous to filament-forming SAVED-domain effectors. Finally, we provide evidence that Csx15 is a close relative of SAVED domains suggesting that Csx15-like proteins may have also contributed to the evolution of CBASS cyclic nucleotide signaling.

biochemistry↗

Activation of SPARDA defense system by filament assembly reveals beta-relay signaling mechanism widespread in prokaryotic Argonautes

Present in all three domains of life, Argonaute (Ago) proteins use short oligonucleotides as guides to recognize complementary nucleic acid targets and are involved in RNA silencing (eukaryotes) or host defense against invading DNA (prokaryotes). Here, we show that the SPARDA (short prokaryotic Argonaute, DNase associated) system functions in anti-plasmid defense. Upon detection of invading plasmid DNA, it degrades both the invader and host DNA, inducing cell death and preventing further spread of the invader. Upon activation, the recognition signal of the bound guide/target duplex is relayed to other functional SPARDA sites through a structural region, which we termed beta-relay. The associated dramatic conformational changes trigger the formation of a filament, in which the DREN nuclease domains form tetramers poised to cleave dsDNA. Furthermore, we identified the presence of beta-relay in all pAgo clades, providing new insights into the structural mechanisms of pAgo proteins.

biochemistry↗

VoroIF-GNN: Voronoi tessellation-derived protein-protein interface assessment using a graph neural network

We present VoroIF-GNN, a novel single-model method for assessing inter-subunit interfaces in protein-protein complexes. Given a multimeric protein structural model, we derive interface contacts from the Voronoi tessellation of atomic balls, construct a graph of those contacts, and predict accuracy of every contact using an attention-based graph neural network. The contact-level predictions are then summarized to produce whole interface-level scores. VoroIF-GNN was blindly tested for its ability to estimate accuracy of protein complexes during CASP15 and showed strong performance in selecting the best multimeric model out of many. The method implementation is freely available at https://klimentolechnovic.github.io/voronota/expansion_js/.

bioinformatics↗

RecA-NT homology motif in ImuB is essential for mycobacterial ImuA'-ImuB protein interaction and mutasome function

The mycobacterial mutasome - minimally comprising ImuA, ImuB, and DnaE2 proteins - has been implicated in DNA damage-induced mutagenesis in Mycobacterium tuberculosis. ImuB, predicted to enable mutasome function via its interaction with the {beta} clamp, is a catalytically inactive member of the Y-family of DNA polymerases. Like other members of the Y family, ImuB features a recently identified amino acid motif with homology to the RecA-N-terminus (RecA-NT). In RecA, the motif mediates oligomerization of RecA monomers into RecA filaments. Given the role of ImuB in the mycobacterial mutasome, we hypothesized that the ImuB RecA-NT motif might mediate its interaction with ImuA, a RecA homolog of unknown function. To investigate this possibility, we constructed a panel of imuB alleles in which RecA-NT was removed, or mutated. Results from microbiological and biochemical assays indicate that RecA-NT is critical for the interaction of ImuB with ImuA. A region downstream of RecA-NT (ImuB-C) also appears to stabilize the ImuB-ImuA interaction, but its removal does not prevent complex formation. In contrast, replacing two key hydrophobic residues of RecA-NT, L378 and V383, is sufficient to disrupt ImuA-ImuB interaction. To our knowledge, this constitutes the first experimental evidence showing the role of the RecA-NT motif in mediating the interaction between a Y-family member and a RecA homolog.

microbiology↗

Prediction of protein assemblies by structure sampling followed by interface-focused scoring

Proteins often function as part of permanent or transient multimeric complexes, and understanding function of these assemblies requires knowledge of their three-dimensional structures. While the ability of AlphaFold to predict structures of individual proteins with unprecedented accuracy has revolutionized structural biology, modeling structures of protein assemblies remains challenging. To address this challenge, we developed a protocol for predicting structures of protein complexes involving model sampling followed by scoring focused on the subunit-subunit interaction interface. In this protocol, we diversified AlphaFold models by varying construction and pairing of multiple sequence alignments as well as increasing the number of recycles. In cases when AlphaFold failed to assemble a full protein complex or produced unreliable results, additional diverse models were constructed by docking of monomers or subcomplexes. All the models were then scored using a newly developed method, VoroIF-jury, which relies only on structural information. Notably, VoroIF-jury is independent of AlphaFold self-assessment scores and therefore can be used to rank models originating from different structure prediction methods. We tested our protocol in CASP15 and obtained top results, significantly outperforming the standard AlphaFold-Multimer pipeline. Analysis of our results showed that the accuracy of our assembly models was capped mainly by structure sampling rather than model scoring. This observation suggests that better sampling, especially for the antibody-antigen complexes, may lead to further improvement. Our protocol is expected to be useful for modeling and/or scoring protein assemblies.

bioinformatics↗

Sir2-domain associated short prokaryotic Argonautes provide defence against invading mobile genetic elements through NAD+ depletion

Argonaute (Ago) proteins are found in all three domains of life. The so-called long Agos are composed of four major domains (N, PAZ, MID, and PIWI) and contribute to RNA silencing in eukaryotes (eAgos) or defence against invading mobile genetic elements in prokaryotes (pAgos). The majority (~60%) of pAgos identified bioinformatically are shorter (comprised of only MID and PIWI domains) and are typically associated with Sir2, Mrr or TIR domain-containing proteins. The cellular function and mechanism of short pAgos remain enigmatic. Here, we show that Geobacter sulfurreducens short pAgo and the NAD+-bound Sir2-protein form a stable heterodimeric complex. The GsSir2/Ago complex presumably recognizes invading plasmid or phage DNA and activates the Sir2 subunit, which triggers endogenous NAD+ depletion and cell death, and prevents the propagation of invading DNA. We reconstituted NAD+ depletion activity in vitro and showed that activated GsSir2/Ago complex functions as a NADase that hydrolyses NAD+ to ADPR. Thus, short Sir2-associated pAgos provide defence against phages and plasmids and underscores the diversity of mechanisms of prokaryotic Agos.

molecular biology↗

Biochemically diverse CRISPR-Cas9 orthologs

CRISPR-Cas9 nucleases are abundant in microbes. To explore this largely uncharacterized diversity, we applied cell-free biochemical screens to rapidly assess the protospacer adjacent motif (PAM) and guide RNA (gRNA) requirements of novel Cas9 proteins. This approach permitted the characterization of 79 Cas9 orthologs with at least 7 distinct classes of gRNAs and 50 different PAM sequence requirements. PAM recognition spanned the entire spectrum of T-, A-, C-, and G-rich nucleotides ranging from simple di-nucleotide recognition to complex sequence strings longer than 4. Computational analyses indicated that most of this diversity came from 4 groups of interrelated sequences providing new insight into Cas9 evolution and efforts to engineer PAM recognition. A subset of Cas9 orthologs were purified and their activities examined further exposing additional biochemical diversity. This constituted both narrow and broad ranges of temperature dependence, staggered-end DNA target cleavage, and a requirement for longer stretches of homology between gRNA and DNA target to function robustly. In all, the diverse collection of Cas9 orthologs presented here sheds light on Cas9 evolution and provides a rich source of PAM recognition and other potentially desirable properties that may be mined to expand the genome editing toolbox with new RNA-programmable nucleases.

biochemistry↗

VoroCNN: Deep convolutional neural network built on 3D Voronoi tessellation of protein structures

MotivationEffective use of evolutionary information has recently led to tremendous progress in computational prediction of three-dimensional (3D) structures of proteins and their complexes. Despite the progress, the accuracy of predicted structures tends to vary considerably from case to case. Since the utility of computational models depends on their accuracy, reliable estimates of deviation between predicted and native structures are of utmost importance. ResultsFor the first time we present a deep convolutional neural network (CNN) constructed on a Voronoi tessellation of 3D molecular structures. Despite the irregular data domain, our data representation allows to efficiently introduce both convolution and pooling operations of the network. We trained our model, called VoroCNN, to predict local qualities of 3D protein folds. The prediction results are competitive to the state of the art and superior to the previous 3D CNN architectures built for the same task. We also discuss practical applications of VoroCNN, for example, in the recognition of protein binding interfaces. AvailabilityThe model, data, and evaluation tests are available at https://team.inria.fr/nano-d/software/vorocnn/. Contactceslovas.venclovas@bti.vu.lt, sergei.grudinin@inria.fr

bioinformatics↗

PAM recognition by miniature CRISPR-Cas14 triggers programmable double-stranded DNA cleavage

In recent years, CRISPR-associated (Cas) nucleases have revolutionized the genome editing field. Being guided by an RNA to cleave double-stranded (ds) DNA targets near a short sequence termed a protospacer adjacent motif (PAM), Cas9 and Cas12 offer unprecedented flexibility, however, more compact versions would simplify delivery and extend application. Here, we present a collection of 10 exceptionally compact (422-603 amino acids) CRISPR-Cas nucleases that recognize and cleave dsDNA in PAM dependent manner. Categorized as class 2 type V-F they come from the Cas14 family and distantly related type V-U3 Cas proteins found in bacteria. Using biochemical methods, we demonstrate that a 5 T- or C-rich PAM sequence triggers double stranded (ds) DNA target cleavage. Based on this discovery, we evaluated whether they can protect against invading dsDNA in E. coli and find that some but not all can. Altogether, our findings show that miniature Cas nucleases are functional CRISPR-Cas defense systems and have the potential to be harnessed as programmable nucleases for genome editing.

biochemistry↗