Identification Of Cleavage Sites Research Articles

Investigation of the inverse fracture occurrence in X65 Q&T pipeline steels under impact loading, Part I: Experiments

This study treats over the sudden cleavage fracture occurrence, sometimes called “reverse fracture”, in drop-weight tear testing of X65 Q&T seamless pipeline steel. This phenomenon is not new and has been around since new manufacturing techniques such as thermomechanical controlled processes (TMCP) and seamless techniques have emerged over the last 40 years. Yet, there is no radical plausible solution for this problem as due to its stochastic nature makes it difficult to systematically study the cause and effect of catastrophic mechanisms. Here, certain key pieces of information are added to the existing body of results on this subject matter such as automated identification of cleavage sites via deep learning YOLO framework. In conjunction with advanced SEM/EBSD analysis and TEM description provide strong evidence of the nature of the microstructure and its connection with the abnormal fracture behavior.

An N terminomics toolbox combining 2-pyridinecarboxaldehyde probes and click chemistry for profiling protease specificity

Proteomic profiling of protease-generated N termini provides key insights into protease function and specificity. However, current technologies have sequence limitations or require specialized synthetic reagents for N-terminal peptide isolation. Here, we introduce an N terminomics toolbox that combines selective N-terminal biotinylation using 2-pyridinecarboxaldehyde (2PCA) reagents with chemically cleavable linkers to enable efficient enrichment of protein N termini. By incorporating a commercially available alkyne-modified 2PCA in combination with Cu(I)-catalyzed azide-alkyne cycloaddition (CuAAC), our strategy eliminates the need for chemical synthesis of N-terminal probes. Using these reagents, we developed PICS2 (Proteomic Identification of Cleavage Sites with 2PCA) to profile the specificity of subtilisin/kexin-type proprotein convertases (PCSKs). We also implemented CHOPPER (chemical enrichment of protease substrates with purchasable, elutable reagents) for global sequencing of apoptotic proteolytic cleavage sites. Based on their broad applicability and ease of implementation, PICS2 and CHOPPER are useful tools that will advance our understanding of protease biology.

Endonucleolytic processing plays a critical role in the maturation of ribosomal RNA in Methanococcus maripaludis

ABSTRACT Ribosomal RNA (rRNA) processing and maturation are fundamentally important for ribosome biogenesis, but the mechanisms in archaea, the third form of life, remains largely elusive. This study aimed to investigate the rRNA maturation process in Methanococcus maripaludis, a representative archaeon lacking known 3′-5′ exonucleases. Through cleavage site identification and enzymatic assays, the splicing endonuclease EndA was determined to process the bulge-helix-bulge (BHB) motifs in 16S and 23S rRNA precursors. After splicing, the circular processing intermediates were formed and this was confirmed by quantitative RT-PCR and Northern blot. Ribonuclease assay revealed a specific cleavage at a 10-nt A/U-rich motif at the mature 5′ end of pre-16S rRNA, which linearized circular pre-16S rRNA intermediate. Further 3′-RACE and ribonuclease assays determined that the endonuclease Nob1 cleaved the 3′ extension of pre-16S rRNA, and so generated the mature 3′ end. Circularized RT-PCR (cRT-PCR) and 5′-RACE identified two cleavage sites near helix 1 at the 5′ end of 23S rRNA, indicating that an RNA structure-based endonucleolytic processing linearized the circular pre-23S rRNA intermediate. In the maturation of pre-5S rRNA, multiple endonucleolytic processing sites were determined at the 10-nt A/U-rich motif in the leader and trailer sequence. This study demonstrates that endonucleolytic processing, particularly at the 10-nt A/U-rich motifs play an essential role in the pre-rRNA maturation of M. maripaludis, indicating diverse pathways of rRNA maturation in archaeal species.

Mouse skin peptidomic analysis of the hemorrhage induced by a snake venom metalloprotease.

Hemorrhage induced by snake venom metalloproteases (SVMPs) results from proteolysis, capillary disruption, and blood extravasation. HF3, a potent SVMP of Bothrops jararaca, induces hemorrhage at pmol doses in the mouse skin. To gain insight into the hemorrhagic process, the main goal of this study was to analyze changes in the skin peptidome generated by injection of HF3, using approaches of mass spectrometry-based untargeted peptidomics. The results revealed that the sets of peptides found in the control and HF3-treated skin samples were distinct and derived from the cleavage of different proteins. Peptide bond cleavage site identification in the HF3-treated skin showed compatibility with trypsin-like serine proteases and cathepsins, suggesting the activation of host proteinases. Acetylated peptides, which originated from the cleavage at positions in the N-terminal region of proteins in both samples, were identified for the first time in the mouse skin peptidome. The number of peptides acetylated at the residue after the first Met residue, mostly Ser and Ala, was higher than that of peptides acetylated at the initial Met. Proteins cleaved in the hemorrhagic skin participate in cholesterol metabolism, PPAR signaling, and in the complement and coagulation cascades, indicating the impairment of these biological processes. The peptidomic analysis also indicated the emergence of peptides with potential biological activities, including pheromone, cell penetrating, quorum sensing, defense, and cell-cell communication in the mouse skin. Interestingly, peptides generated in the hemorrhagic skin promoted the inhibition of collagen-induced platelet aggregation and could act synergistically in the local tissue damage induced by HF3.

Improved Identification of Protease Cleavage Sites by In-gel Reductive Dimethylation.

A critical step in the functional characterization of proteases is the identification of physiologically relevant substrates, which often starts with a collection of candidate proteins. To test these candidates and identify specific processing sites, in vitro cleavage assays are typically used, followed by polyacrylamide gel electrophoresis (SDS-PAGE) to separate and visualize the cleavage products. For the identification of cleavage sites, the sequences at the N- or C-terminal ends of the cleavage products need to be identified, which is the most challenging step in this procedure. Here, we describe a method for the reliable identification of the N-termini of polypeptides after separation by SDS-PAGE. The procedure relies on in-gel labeling of the N-terminal-free amino group by reductive dimethylation, followed by tryptic digestion and analysis of resulting peptides by mass spectrometry. N-terminal peptides are readily identified by the 28Da mass dimethyl tag linked to their first amino acid.

Stepwise Strategy to Identify Thrombin as a Hydrolytic Substrate for Nattokinase.

Nattokinase (NK) is a serine protease with a potent thrombolytic activity that possesses multiple cardiovascular disease (CVD) preventative and treatment activities. In light of its advanced beneficial cardiovascular effects and its nature as a serine protease, characterizing its biological substrates is essential for informing and ultimately delineating the molecular mechanism of its thrombolytic and anticoagulant activities that will unlock the powerful strategic design of effective therapies for CVDs. Given the efficacy of NK to break the vicious loop between inflammation, oxidative stress, and thrombosis, and the extensive role of thrombin in the loop, a stepwise computational strategy was developed to investigate the cleavage events of NK, including both a protein-protein complex model for protein substrate recognition and a protease-peptide complex model for the cleavage site identification, whereby their contact region was sited to allow for the prediction of the corresponding cleavage site that was successfully verified by both mass spectrometry (MS)-based N-terminal sequencing and various functional assays. Collectively, thrombin was predicted and identified to be a novel biological substrate of NK, which expanded the comprehensive antithrombus mechanism of NK via breaking the vicious loop between inflammation, oxidative stress, and thrombosis. This study not only provided insight into the interaction characteristics between NK and its hydrolytic substrate for a better understanding toward its catalytic mechanism but also developed a comprehensive computational strategy to elucidate the proteolytic targets of NK for the breakthrough of feature drug development.

Profiling Sequence Specificity of Proteolytic Activities Using Proteome-Derived Peptide Libraries.

Substrate sequence specificity is a fundamental characteristic of proteolytic enzymes. Hundreds of proteases are encoded in plant genomes, but the vast majority of them have not been characterized and their distinct specificity remains largely unknown. Here we present our current protocol for profiling sequence specificity of plant proteases using Proteomic Identification of Cleavage Sites (PICS). This simple, cost-effective protocol is suited for detailed, time-resolved specificity profiling of purified or enriched proteases. The isolated active protease or fraction with enriched protease activity together with a suitable control are incubated with split aliquots of proteome-derived peptide libraries, followed by identification of specifically cleaved peptides using quantitative mass spectrometry. Detailed specificity profiles are obtained by alignment of many individual cleavage sites. The chapter covers preparation of complementary peptide libraries from heterologous sources, the cleavage assay itself, as well as mass spectrometry data analysis.

Systemic Effects of Hemorrhagic Snake Venom Metalloproteinases: Untargeted Peptidomics to Explore the Pathodegradome of Plasma Proteins.

Hemorrhage induced by snake venom metalloproteinases (SVMPs) is a complex phenomenon that involves capillary disruption and blood extravasation. HF3 (hemorrhagic factor 3) is an extremely hemorrhagic SVMP of Bothrops jararaca venom. Studies using proteomic approaches revealed targets of HF3 among intracellular and extracellular proteins. However, the role of the cleavage of plasma proteins in the context of the hemorrhage remains not fully understood. The main goal of this study was to analyze the degradome of HF3 in human plasma. For this purpose, approaches for the depletion of the most abundant proteins, and for the enrichment of low abundant proteins of human plasma, were used to minimize the dynamic range of protein concentration, in order to assess the proteolytic activity of HF3 on a wide spectrum of proteins, and to detect the degradation products using mass spectrometry-based untargeted peptidomics. The results revealed the hydrolysis products generated by HF3 and allowed the identification of cleavage sites. A total of 61 plasma proteins were identified as cleaved by HF3. Some of these proteins corroborate previous studies, and others are new HF3 targets, including proteins of the coagulation cascade, of the complement system, proteins acting on the modulation of inflammation, and plasma proteinase inhibitors. Overall, the data indicate that HF3 escapes inhibition and sculpts the plasma proteome by degrading key proteins and generating peptides that may act synergistically in the hemorrhagic process.

Plasmin generates vasoinhibin-like peptides by cleaving prolactin and placental lactogen

Vasoinhibin is an antiangiogenic, profibrinolytic peptide generated by the proteolytic cleavage of the pituitary hormone prolactin by cathepsin D, matrix metalloproteinases, and bone morphogenetic protein-1. Vasoinhibin can also be generated when placental lactogen or growth hormone are enzymatically cleaved. Here, it is investigated whether plasmin cleaves human prolactin and placental lactogen to generate vasoinhibin-like peptides. Co-incubation of prolactin and placental lactogen with plasmin was performed and analyzed by gel electrophoresis and Western blotting. Mass spectrometric analyses were carried out for sequence validation and precise cleavage site identification. The cleavage sites responsible for the generation of the vasoinhibin-like peptides were located at K170-E171 in prolactin and R160-T161 in placental lactogen. Various genetic variants of the human prolactin and placental lactogen genes are projected to affect proteolytic generation of the vasoinhibin-like peptides. The endogenous counterparts of the vasoinhibin-like peptides generated by plasmin may represent vasoinhibin-isoforms with inhibitory effects on vasculature and coagulation.

Identification of novel ADAMTS1, ADAMTS4 and ADAMTS5 cleavage sites in versican using a label-free quantitative proteomics approach

The chondroitin sulfate proteoglycan versican is important for embryonic development and several human disorders. The versican V1 splice isoform is widely expressed and cleaved by ADAMTS proteases at a well-characterized site, Glu441-Ala442. Since ADAMTS proteases cleave the homologous proteoglycan aggrecan at multiple sites, we hypothesized that additional cleavage sites existed within versican. We report a quantitative label-free approach that ranks abundance of liquid chromatography-tandem mass spectrometry (LC-MS/MS)-identified semi-tryptic peptides after versican digestion by ADAMTS1, ADAMTS4 and ADAMTS5 to identify site-specific cleavages. Recombinant purified versican V1 constructs were digested with the recombinant full-length proteases, using catalytically inactive mutant proteases in control digests. Semi-tryptic peptide abundance ratios determined by LC-MS/MS in ADAMTS:control digests were compared to the mean of all identified peptides to obtain a z-score by which outlier peptides were ranked, using semi-tryptic peptides identifying Glu441 -Ala442 cleavage as the benchmark. Tryptic peptides with higher abundance in control digests supported cleavage site identification. We identified several novel cleavage sites supporting the ADAMTS1/4/5 cleavage site preference for a P1-Glu residue in proteoglycan substrates. Digestion of proteins in vitro and application of this z-score approach is potentially widely applicable for mapping protease cleavage sites using label-free proteomics. SignificanceVersican abundance and turnover are relevant to the pathogenesis of several human disorders. Versican is cleaved by A Disintegrin-like And Metalloprotease with Thrombospondin type 1 motifs (ADAMTS) family members at Glu441-Ala442, generating a bioactive proteoform called versikine, but additional cleavage sites and the site-specificity of individual ADAMTS proteases is unexplored. Here, we used a label-free proteomics strategy to identify versican cleavage sites for 3 ADAMTS proteases, applying a novel z-score-based statistical approach to compare the protease digests of versican to controls (digests with inactive protease) using the known protease cleavage site as a benchmark. We identified 21 novel cleavage sites that had a comparable z-score to the benchmark. Given the functional significance of versikine, they represent potentially significant cleavages and helped to refine a substrate site preference for each protease.The z-score approach is potentially widely applicable for discovery of site-specific cleavages within an purified protein or small ensemble of proteins using any protease.

Identification of Cleavage Sites Proteolytically Processed by NS2B-NS3 Protease in Polyprotein of Japanese Encephalitis Virus.

Understanding the proteolytic processing of polyprotein mediated by NS2B-NS3 protease contributes to the exploration of the mechanisms underlying infection of Japanese encephalitis virus (JEV), a zoonotic flavivirus. In this study, eukaryotic and prokaryotic cell models were employed to identify the cleavage sites mediated by viral NS2B-NS3 protease in JEV polyprotein. Artificial green fluorescent protein (GFP) substrates that contained the predicted cleavage site sequences of JEV polyprotein were expressed in swine testicle (ST) cells in the presence and absence of JEV infection, or co-expressed in E. coli with the recombinant NS2B-NS3 protease that was generated by fusing the N-terminal protease domain of NS3 to the central hydrophilic domain of NS2B. The cleavage of GFP substrates was examined by western blot. Among twelve artificial GFP substrates containing the cleavage site sequences predictively processed by host cell and/or NS2B-NS3 proteases, all sites were found to be cleaved by host cell proteases with different efficiencies. The sites at internal C, NS2A/NS2B, NS2B/NS3 and NS3/NS4A junctions, but not the sites at internal NS3, internal NS4A and NS4B/NS5 junctions were identified to be cleaved by JEV NS2B-NS3 protease. These data provide insight into the proteolytic processing of polyprotein, which is useful for understanding JEV replication and pathogenesis.

COR388, a novel gingipain inhibitor, decreases fragmentation of APOE in the central nervous system of Alzheimer’s disease patients

AbstractBackgroundWe identified the bacterial pathogen, Porphyromonas gingivalis (Pg), and its protease virulence factors, gingipains, in the brain of patients with Alzheimer’s disease (AD). Gingipain levels in AD brains were shown to significantly correlate with AD diagnosis and tau and ubiquitin pathology. The neurodegeneration and AD‐like pathology in Pg infected mice were blocked after oral administration of COR388, an orally bioavailable, brain penetrant small‐molecule that irreversibly inhibits lysine‐gingipain. Since ApoE4 is the greatest genetic risk factor for sporadic AD, we investigated if ApoE proteins are targets of gingipain proteolysis.MethodIn vitro proteolysis of recombinant ApoE proteins, Mass Spectrometry (MS) analysis of gingipain cleavage sites, and detection of ApoE proteolytic fragments in brain and CSF.ResultApoE proteins were cleaved by gingipains rapidly, and ApoE4 was a preferred substrate over ApoE3. Gingipain inhibitors blocked ApoE proteolysis. MS analysis confirmed higher susceptibility of ApoE4 to gingipain cleavage. MS analysis enabled the identification of cleavage sites and the majority of these sites were concentrated near the carboxy‐terminal of the protein. MS analysis performed on low‐molecular‐weight (LMW) fragments of ApoE4 from a human AD brain, homozygous for the APOE4 allele, identified peptide fragments from this same region. Western blot analysis of AD CSF revealed a higher level of LMW ApoE proteolytic cleavage products in AD CSF than non‐AD CSF. A significant decrease in LMW ApoE fragments in CSF was detected in AD subjects following 28 days of administration of COR388 compared to placebo in a Phase1b clinical study.ConclusionOur data suggest that gingipain proteases may mediate ApoE proteolysis in the brain, with higher susceptibility of ApoE4, providing a link between P. gingivalis infection and the APOE4 allele, a major risk factor in AD. Based on the literature, fragmentation of ApoE4 by gingipains would be likely to reduce synaptic maintenance and regulation of immune response as well as aggravate toxicity to cells through the generation of fragments. COR388, a small‐molecule inhibitor of lysine‐gingipain, is currently being tested in a large Phase 2/3 clinical study in subjects with mild‐to‐moderate AD.

Compositional framework for multitask learning in the identification of cleavage sites of HIV-1 protease.

Inadequate patient samples and costly annotated data generations result into the smaller dataset in the biomedical domain. Due to which the predictions with a trained model that usually reveal a single small dataset association are fail to derive robust insights. To cope with the data sparsity, a promising strategy of combining data from the different related tasks is exercised in various application. Motivated by, successful work in the various bioinformatics application, we propose a multitask learning model based on multi-kernel that exploits the dependencies among various related tasks. This work aims to combine the knowledge from experimental studies of the different dataset to build stronger predictive models for HIV-1 protease cleavage sites prediction. In this study, a set of peptide data from one source is referred as 'task' and to integrate interactions from multiple tasks; our method exploits the common features and parameters sharing across the data source. The proposed framework uses feature integration, feature selection, multi-kernel and multifactorial evolutionary algorithm to model multitask learning. The framework considered seven different feature descriptors and four different kernel variants of support vector machines to form the optimal multi-kernel learning model. To validate the effectiveness of the model, the performance parameters such as average accuracy, and area under curve have been evaluated on the suggested model. We also carried out Friedman and post hoc statistical test to substantiate the significant improvement achieved by the proposed framework. The result obtained following the extensive experiment confirms the belief that multitask learning in cleavage site identification can improve the performance.

THE USE OF MASS SPECTROMETRY TO STUDY ZN-METALLOPROTEASE-SUBSTRATE INTERACTIONS.

Zinc metalloproteases (ZnMPs) participate in diverse biological reactions, encompassing the synthesis and degradation of all the major metabolites in living organisms. In particular, ZnMPs have been recognized to play a very important role in controlling the concentration level of several peptides and/or proteins whose homeostasis has to be finely regulated for the correct physiology of cells. Dyshomeostasis of aggregation-prone proteins causes pathological conditions and the development of several different diseases. For this reason, in recent years, many analytical approaches have been applied for studying the interaction between ZnMPs and their substrates and how environmental factors can affect enzyme activities. In this scenario, mass spectrometric methods occupy a very important role in elucidating different aspects of ZnMPs-substrates interaction. These range from identification of cleavage sites to quantitation of kinetic parameters. In this work, an overview of all the main achievements regarding the application of mass spectrometric methods to investigating ZnMPs-substrates interactions is presented. A general experimental protocol is also described which may prove useful to the study of similar interactions. © 2020 John Wiley & Sons Ltd. Mass Spec Rev.

Cognitive Framework for HIV-1 Protease Cleavage Site Classification Using Evolutionary Algorithm

Acquired immunodeficiency syndrome is the progression from human immunodeficiency virus (HIV) to symptomatic disease. The disease process starts by replicating the viral particles, and the HIV-1 protease is the causative agent behind the phenomenon. To control the replication, protease inhibitors are designed that bind to the active sites. Thus, knowledge about the HIV protease cleavage specificity is critical in the design of effective HIV inhibitors. Several classifiers and encoding techniques have been proposed for the identification of cleavage sites. A recent study shows a linear support vector machine with orthogonal encoding promulgated its sovereignty in the linearly separable peptide data. However, the performance of linear SVM degrades on nonlinear separable data. To cope with the considerable changes between linear and nonlinear separable data, we propose a cognitive framework that utilizes the dexterity of evolutionary algorithm on exploring out the best adaptive settings in the classifier and encoding techniques to improve the predictive capability of the model. Specifically, the proposed cognitive model selects the three decisive factors: physicochemical property for peptide encoding, SVM kernel selection for linear or nonlinear data and parameter tuning of the selected kernel. To validate the performance of the proposed model, the benchmark peptide data are exercised in the experimentation, and the obtained results are compared with the state-of-the-art techniques. Besides, we also analyzed the performance of the proposed model in out-of-sample test, and the extensive experimental results prove the proficiency of the proposed approach for the classification of the HIV-1 protease cleavage sites.

Identification of major matrix metalloproteinase-20 proteolytic processing products of murine amelogenin and tyrosine-rich amelogenin peptide using a nuclear magnetic resonance spectroscopy based method

ObjectiveThe aim of this study was to identify major matrix metalloproteinase-20 (MMP20) proteolytic processing products of amelogenin over time and determine if the tyrosine-rich amelogenin peptide (TRAP) was a substrate of MMP20. DesignRecombinant15N-labeled murine amelogenin and 13C,15N-labeled TRAP were incubated with MMP20 under conditions where amelogenin self-assembles into nanospheres. Digestion products were fractionated by reverse-phase high-performance liquid chromatography at various time points. Product identification took advantage of the intrinsic disorder property of amelogenin that results in little change to its fingerprint 1H-15N heteronuclear single-quantum coherence nuclear magnetic resonance spectrum in 2% acetic acid upon removing parts of the protein, allowing cleavage site identification by observing which amide cross peaks disappear. ResultsThe primary product in five out of the six major reverse-phase high-performance liquid chromatography bands generated after a 24 h incubation of murine amelogenin with MMP20 were: S55-L163, P2-L147, P2-E162, P2-A167, and P2-R176. After 72 h these products were replaced with five major reverse-phase high-performance liquid chromatography bands containing: L46-A170, P2-S152, P2-F151, P2-W45, and short N-terminal peptides. TRAP was completely digested by MMP20 into multiple small peptides with the initial primary site of cleavage between S16 and Y17. ConclusionsIdentification of the major MMP20 proteolytic products of amelogenin confirm a dynamic process, with sites towards the C-terminus more rapidly attacked than sites near the N-terminus. This observation is consistent with nanosphere models where the C-terminus is exposed and the N-terminus more protected. One previously reported end-product of the MMP20 proteolytic processing of amelogenin, TRAP, is shown to be an in vitro substrate for MMP20.

Toward more accurate prediction of caspase cleavage sites: a comprehensive review of current methods, tools and features.

As one of the few irreversible protein posttranslational modifications, proteolytic cleavage is involved in nearly all aspects of cellular activities, ranging from gene regulation to cell life-cycle regulation. Among the various protease-specific types of proteolytic cleavage, cleavages by casapses/granzyme B are considered as essential in the initiation and execution of programmed cell death and inflammation processes. Although a number of substrates for both types of proteolytic cleavage have been experimentally identified, the complete repertoire of caspases and granzyme B substrates remains to be fully characterized.To tackle this issue and complement experimental efforts for substrate identification, systematic bioinformatics studies of known cleavage sites provide important insights into caspase/granzyme B substrate specificity, and facilitate the discovery of novel substrates. In this article, we review and benchmark 12 state-of-the-art sequence-based bioinformatics approaches and tools for caspases/granzyme B cleavage prediction. We evaluate and compare these methods in terms of their input/output, algorithms used, prediction performance, validation methods and software availability and utility. In addition, we construct independent data sets consisting of caspases/granzyme B substrates from different species and accordingly assess the predictive power of these different predictors for the identification of cleavage sites. We find that the prediction results are highly variable among different predictors. Furthermore, we experimentally validate the predictions of a case study by performing caspase cleavage assay. We anticipate that this comprehensive review and survey analysis will provide an insightful resource for biologists and bioinformaticians who are interested in using and/or developing tools for caspase/granzyme B cleavage prediction.

Formation of Protein Disulfide Bonds Catalyzed by OsPDIL1;1 is Mediated by MicroRNA5144-3p in Rice.

Correct folding of proteins in the endoplasmic reticulum is important for their stability and function under stress. The protein disulfide isomerase (PDI) OsPDIL1;1 is a key protein-folding catalyst in rice (Oryza sativa L.). Here, microRNA5144 (osa-miR5144-3p) is reported to mediate the formation of protein disulfide bonds via targeting OsPDIL1;1 mRNA in rice seeds and seedlings during development and under conditions of abiotic stress, respectively. Expression analysis of transgenic rice and identification of cleavage sites showed that OsPDIL1;1 mRNA is a target of osa-miR5144-3p. Expression of osa-miR5144-3p and OsPDIL1;1 was shown to be inversely regulated in developing organs and under abiotic stress. The down-regulation of osa-miR5144-3p or overexpression of OsPDIL1;1 in transgenic rice showed increased total protein-disulfide bond content, compared with the wild type. This indicates that protein-disulfide bond formation is enhanced by down-regulation of osa-miR5144-3p or overexpression of OsPDIL1;1. These transgenic rice plants also displayed strong resistance to salinity and mercury stress, in comparison with the wild type. In contrast, the transgenic rice plants overexpressing osa-miR5144-3p or down-regulating OsPDIL1;1 had a lower protein-disulfide bond content; they were susceptible to abiotic stress and produced abnormal grains with small and loosely packed starch granules. These results indicate that protein-disulfide bond formation catalyzed by OsPDIL1;1 is modulated by osa-miR5144-3p in rice during development and is involved in resistance to abiotic stress.

Identification of Cleavage Sites Recognized by the 3C-Like Cysteine Protease within the Two Polyproteins of Strawberry Mottle Virus.

Strawberry mottle virus (SMoV, family Secoviridae, order Picornavirales) is one of several viruses found in association with strawberry decline disease in Eastern Canada. The SMoV genome consists of two positive-sense single-stranded RNAs, each encoding one large polyprotein. The RNA1 polyprotein (P1) includes the domains for a putative helicase, a VPg, a 3C-like cysteine protease and an RNA-dependent RNA polymerase at its C-terminus, and one or two protein domains at its N-terminus. The RNA2 polyprotein (P2) is predicted to contain the domains for a movement protein (MP) and one or several coat proteins at its N-terminus, and one or more additional domains for proteins of unknown function at its C-terminus. The RNA1-encoded 3C-like protease is presumed to cleave the two polyproteins in cis (P1) and in trans (P2). Using in vitro processing assays, we systematically scanned the two polyproteins for cleavage sites recognized by this protease. We identified five cis-cleavage sites in P1, with cleavage between the putative helicase and VPg domains being the most efficient. The presence of six protein domains in the SMoV P1, including two upstream of the putative helicase domain, is a feature shared with nepoviruses but not with comoviruses. Results from trans-cleavage assays indicate that the RNA1-encoded 3C-like protease recognized a single cleavage site, which was between the predicted MP and coat protein domains in the P2 polyprotein. The cleavage site consensus sequence for the SMoV 3C-like protease is AxE (E or Q)/(G or S).

Analysis of the Proteolytic Processing of ABCA3: Identification of Cleavage Site and Involved Proteases.

RationaleABCA3 is a lipid transporter in the limiting membrane of lamellar bodies in alveolar type II cells. Mutations in the ABCA3 gene cause respiratory distress syndrome in new-borns and childhood interstitial lung disease. ABCA3 is N-terminally cleaved by an as yet unknown protease, a process believed to regulate ABCA3 activity.MethodsThe exact site where ABCA3 is cleaved was localized using mass spectrometry (MS). Proteases involved in ABCA3 processing were identified using small molecule inhibitors and siRNA mediated gene knockdown. Results were verified by in vitro digestion of a synthetic peptide substrate mimicking ABCA3’s cleavage region, followed by MS analysis.ResultsWe found that cleavage of ABCA3 occurs after Lys174 which is located in the proteins’ first luminal loop. Inhibition of cathepsin L and, to a lesser extent, cathepsin B resulted in attenuation of ABCA3 cleavage. Both enzymes showed activity against the ABCA3 peptide in vitro with cathepsin L being more active.ConclusionWe show here that, like some other proteins of the lysosomal membrane, ABCA3 is a substrate of cathepsin L. Therefore, cathepsin L may represent a potential target to therapeutically influence ABCA3 activity in ABCA3-associated lung disease.