Identification of some cleavage sites of insulin by insulin proteinase.
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ABSTRACT:
SUBMITTER: Davies JG
PROVIDER: S-EPMC1147458 | biostudies-other | 1986 Dec
REPOSITORIES: biostudies-other
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Project description:BackgroundDespite the passing of more than a year since the first outbreak of Severe Acute Respiratory Syndrome (SARS), efficient counter-measures are still few and many believe that reappearance of SARS, or a similar disease caused by a coronavirus, is not unlikely. For other virus families like the picornaviruses it is known that pathology is related to proteolytic cleavage of host proteins by viral proteinases. Furthermore, several studies indicate that virus proliferation can be arrested using specific proteinase inhibitors supporting the belief that proteinases are indeed important during infection. Prompted by this, we set out to analyse and predict cleavage by the coronavirus main proteinase using computational methods.ResultsWe retrieved sequence data on seven fully sequenced coronaviruses and identified the main 3CL proteinase cleavage sites in polyproteins using alignments. A neural network was trained to recognise the cleavage sites in the genomes obtaining a sensitivity of 87.0% and a specificity of 99.0%. Several proteins known to be cleaved by other viruses were submitted to prediction as well as proteins suspected relevant in coronavirus pathology. Cleavage sites were predicted in proteins such as the cystic fibrosis transmembrane conductance regulator (CFTR), transcription factors CREB-RP and OCT-1, and components of the ubiquitin pathway.ConclusionsOur prediction method NetCorona predicts coronavirus cleavage sites with high specificity and several potential cleavage candidates were identified which might be important to elucidate coronavirus pathology. Furthermore, the method might assist in design of proteinase inhibitors for treatment of SARS and possible future diseases caused by coronaviruses. It is made available for public use at our website: http://www.cbs.dtu.dk/services/NetCorona/.
| S-EPMC442122 | biostudies-literature
Project description:Arterial hypertension is associated with organ dysfunctions, but the mechanisms are uncertain. We hypothesized that enhanced proteolytic activity in the microcirculation of spontaneously hypertensive rats (SHRs) may be a pathophysiological mechanism causing cell membrane receptor cleavage and examine this for 2 different receptors. Immunohistochemistry of matrix-degrading metalloproteinases (matrix metalloproteinase [MMP]-9) protein shows enhanced levels in SHR microvessels, mast cells, and leukocytes compared with normotensive Wistar-Kyoto rats. In vivo microzymography shows cleavage by MMP-1 and -9 in SHRs that colocalizes with MMP-9 and is blocked by metal chelation. SHR plasma also has enhanced protease activity. We demonstrate with an antibody against the extracellular domain that the insulin receptor-alpha density is reduced in SHRs, in line with elevated blood glucose levels and glycohemoglobin. There is also cleavage of the binding domain of the leukocyte integrin receptor CD18 in line with previously reported reduced leukocyte adhesion. Blockade of MMPs with a broad-acting inhibitor (doxycycline, 5.4 mg/kg per day) reduces protease activity in plasma and microvessels; blocks the proteolytic cleavage of the insulin receptor, the reduced glucose transport; normalizes blood glucose levels and glycohemoglobin levels; and reduces blood pressure and enhanced microvascular oxidative stress of SHRs. The results suggest that elevated MMP activity leads to proteolytic cleavage of membrane receptors in the SHR, eg, cleavage of the insulin receptor-binding domain associated with insulin resistance.
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Project description:Hemojuvelin (HJV), the coreceptor of the BMP-SMAD pathway that up-regulates hepcidin transcription, is a repulsive guidance molecule (RGMc) which undergoes a complex intracellular processing. Following autoproteolysis, it is exported to the cell surface both as a full-length and a heterodimeric protein. In vitro membrane HJV (m-HJV) is cleaved by the transmembrane serine protease TMPRSS6 to attenuate signalling and to inhibit hepcidin expression. In this study, we investigated the number and position of HJV cleavage sites by mutagenizing arginine residues (R), potential TMPRSS6 targets, to alanine (A). We analysed translation and membrane expression of HJV R mutants and the pattern of fragments they release in the culture media in the presence of TMPRSS6. Abnormal fragments were observed for mutants at arginine 121, 176, 218, 288 and 326. Considering that all variants, except HJV(R121A) , lack autoproteolytic activity and some (HJV(R176A) and HJV(R288A) ) are expressed at reduced levels on cell surface, we identified the fragments originating from either full-length or heterodimeric proteins and defined the residues 121 and 326 as the TMPRSS6 cleavage sites in both isoforms. Using the N-terminal FLAG-tagged HJV, we showed that residue 121 is critical also in the rearrangement of the N-terminal heterodimeric HJV. Exploiting the recently reported RGMb crystallographic structure, we generated a model of HJV that was used as input structure for all-atoms molecular dynamics simulation in explicit solvent. As assessed by in silico studies, we concluded that some arginines in the von Willebrand domain appear TMPRSS6 insensitive, likely because of partial protein structure destabilization.
| S-EPMC4395201 | biostudies-literature
Project description:Several picornaviruses shut down host cellular protein synthesis by proteolytic cleavage of the eukaryotic initiation factor (eIF) 4GI and eIF4GII isoforms. Viral RNA translation is maintained by a cap-independent mechanism. Here, we identify the human rhinovirus 2 2A(pro) cleavage site in eIF4GII in vitro as PLLNV(699)*GSR; this sequence lies seven amino acids C-terminal to the cleavage site previously identified in eIF4GI (LSTR681*GPP).
| S-EPMC152112 | biostudies-literature
Project description:Recently, we have developed a coronavirus-specific gene-finding system, ZCURVE_CoV 1.0. In this paper, the system is further improved by taking the prediction of cleavage sites of viral proteinases in polyproteins into account. The cleavage sites of the 3C-like proteinase and papain-like proteinase are highly conserved. Based on the method of traditional positional weight matrix trained by the peptides around cleavage sites, the present method also sufficiently considers the length conservation of non-structural proteins cleaved by the 3C-like proteinase and papain-like proteinase to reduce the false positive prediction rate. The improved system, ZCURVE_CoV 2.0, has been run for each of the 24 completely sequenced coronavirus genomes in GenBank. Consequently, all the non-structural proteins in the 24 genomes are accurately predicted. Compared with known annotations, the performance of the present method is satisfactory. The software ZCURVE_CoV 2.0 is freely available at http://tubic.tju.edu.cn/sars/.
| S-EPMC7232748 | biostudies-literature
Project description:Schistosoma japonicum insulin receptors (SjIRs) have been identified as encouraging vaccine candidates. Interrupting or blocking the binding between host insulin and the schistosome insulin receptors (IRs) may result in reduced glucose uptake leading to starvation and stunting of worms with a reduction in egg output. To further understand how schistosomes are able to exploit host insulin for development and growth, and whether these parasites and their mammalian hosts compete for the same insulin source, we identified insulin binding sites on the SjIRs. Based on sequence analysis and the predicted antigenic structure of the primary sequences of the SjIRs, we designed nine and eleven peptide analogues from SjIR-1 and SjIR-2, respectively. Using the Octet RED system, we identified analogues derived from SjIR-1 (10) and SjIR-2 (20, 21 and 22) with insulin-binding sequences specific for S. japonicum. Nevertheless, the human insulin receptor (HIR) may compete with the SjIRs in binding human insulin in other positions which are important for HIR binding to insulin. However, no binding occurred between insulin and parasite analogues derived from SjIR-1 (2, 7 and 8) and SjIR-2 (14, 16 and 18) at the same locations as HIR sequences which have been shown to have strong insulin binding affinities. Importantly, we found two analogues (1 and 3), derived from SjIR-1, and two analogues (13 and 15) derived from SjIR-2, were responsible for the major insulin binding affinity in S. japonicum. These peptide analogues were shown to have more than 10 times (in KD value) stronger binding capacity for human insulin compared with peptides derived from the HIR in the same sequence positions. Paradoxically, analogues 1, 3, 13 and 15 do not appear to contain major antigenic determinants which resulted in poor antibody responses to native S. japonicum protein. This argues against their future development as peptide-vaccine candidates.
| S-EPMC4956214 | biostudies-literature
Project description:BackgroundThe human mitochondrial genome is transcribed as long strands of RNA containing multiple genes, which require post-transcriptional cleavage and processing to release functional gene products that play vital roles in cellular energy production. Despite knowledge implicating mitochondrial post-transcriptional processes in pathologies such as cancer, cardiovascular disease and diabetes, very little is known about the way their function varies on a human population level and what drives changes in these processes to ultimately influence disease risk. Here, we develop a method to detect and quantify mitochondrial RNA cleavage events from standard RNA sequencing data and apply this approach to human whole blood data from > 1000 samples across independent cohorts.ResultsWe detect 54 putative mitochondrial RNA cleavage sites that not only map to known gene boundaries, short RNA ends and RNA modification sites, but also occur at internal gene positions, suggesting novel mitochondrial RNA cleavage junctions. Inferred RNA cleavage rates correlate with mitochondrial-encoded gene expression across individuals, suggesting an impact on downstream processes. Furthermore, by comparing inferred cleavage rates to nuclear genetic variation and gene expression, we implicate multiple genes in modulating mitochondrial RNA cleavage (e.g. MRPP3, TBRG4 and FASTKD5), including a potentially novel role for RPS19 in influencing cleavage rates at a site near to the MTATP6-COX3 junction that we validate using shRNA knock down data.ConclusionsWe identify novel cleavage junctions associated with mitochondrial RNA processing, as well as genes newly implicated in these processes, and detect the potential impact of variation in cleavage rates on downstream phenotypes and disease processes. These results highlight the complexity of the mitochondrial transcriptome and point to novel mechanisms through which nuclear-encoded genes can potentially influence key mitochondrial processes.
| S-EPMC9308231 | biostudies-literature
Project description:Endothelial Tie2 signaling plays a pivotal role in vascular barrier maintenance at baseline and after injury. We previously demonstrated that a sharp drop in Tie2 expression observed across various murine models of critical illnesses is associated with increased vascular permeability and mortality. Matrix metalloprotease (MMP)-14-mediated Tie2 ectodomain shedding has recently been recognized as a possible mechanism for Tie2 downregulation in sepsis. Here, we identified the exact MMP14-mediated Tie2 ectodomain cleavage sites and could show that pharmacological MMP14 blockade in experimental murine sepsis exerts barrier protective and anti-inflammatory effects predominantly through the attenuation of Tie2 cleavage to improve survival both in a pre-treatment and rescue approach. Overall, we show that protecting Tie2 shedding might offer a new therapeutic opportunity for the treatment of septic vascular leakage.
| S-EPMC7447424 | biostudies-literature
Project description:Degradome sequencing is commonly used to generate high-throughput information on mRNA cleavage sites mediated by small RNAs (sRNA). In our datasets of potato (Solanum tuberosum, St) and Phytophthora infestans (Pi), initial predictions generated high numbers of cleavage site predictions, which highlighted the need of improved analytic tools. Here, we present an R package based on a deep learning convolutional neural network (CNN) in a machine learning environment to optimize discrimination of false from true cleavage sites. When applying smartPARE to our datasets on potato during the infection process by the late blight pathogen, 7.3% of all cleavage windows represented true cleavages distributed on 214 sites in P. infestans and 444 sites in potato. The sRNA landscape of the two organisms is complex with uneven sRNA production and cleavage regions widespread in the two genomes. Multiple targets and several cases of complex regulatory cascades, particularly in potato, was revealed. We conclude that our new analytic approach is useful for anyone working on complex biological systems and with the interest of identifying cleavage sites particularly inferred by sRNA classes beyond miRNAs.
| S-EPMC8073297 | biostudies-literature
Project description:Human alpha 1-proteinase inhibitor (alpha 1-PI) yielded nine fragments on cleavage with CNBr. The amino acid sequences of these fragments were determined. Three of these CNBr-cleavage fragments, namely fragment I (residues 64-220), fragment II (residues 243-351) and fragment III (residues 1-63), were found to bind rabbit polyclonal antibodies against chemically oxidized alpha 1-PI and mouse polyclonal antibodies against native alpha 1-PI by the Bio-Dot method (enzyme-linked immunosorbent assay on nitrocellulose). These fragments, I, II and III, inhibited by 60%, 25% and 5% respectively the binding between alpha 1-PI and the rabbit antibodies. Fragments I, II and III were subjected to proteolytic digestion, and 15, ten and five peptides were obtained from these fragments respectively. Only four of these peptides showed binding to the mouse antibodies against native alpha 1-PI. These were residues 40-63, 79-86, 176-206 and 299-323. A panel of monoclonal antibodies was prepared by conventional hybridoma technology, with chemically oxidized alpha 1-PI as the antigen. The ability of the monoclonal antibodies to bind native alpha 1-PI and CNBr-cleavage fragments I-III was determined. The monoclonal antibodies fell into three categories. Most (over 90%) belonged to group I, which was capable of binding alpha 1-PI and only fragment I. Antibodies in groups II and III bound alpha 1-PI and either fragment II or fragment III respectively. The ability of the peptides derived from proteolytic digestion of fragments I, II and III to bind three monoclonal antibodies representing each of the three groups was determined. Among all the peptides tested, only one (residues 176-206) derived from fragment I showed binding to the antibodies from group I, one (residues 299-323) derived from fragment II showed binding to the antibodies from group II, and one (residues 40-63) from fragment III showed binding to the antibodies from group III. Each of these three peptides also inhibited the binding between alpha 1-PI and the corresponding monoclonal antibodies. From these data we concluded that at least four epitopic regions (residues 40-63, 79-86, 176-206 and 299-323) were present in alpha 1-PI. Specific monoclonal antibodies to three of these sites were obtained.
| S-EPMC1148236 | biostudies-other