Transit peptide cleavage sites of integral thylakoid membrane proteins

A set of 58 nuclearly encoded thylakoid-integral membrane proteins from four plant species was identified, and their amino termini were assigned unequivocally based upon mass spectrometry of intact proteins and peptide fragments. The dataset was used to challenge the Web tools ChloroP, TargetP, SignalP, PSORT, Predotar, and MitoProt II for predicting organelle targeting and transit peptide proteolysis sites. ChloroP and TargetP reliably predicted chloroplast targeting but only reliably predicted transit peptide cleavage sites for soluble proteins targeted to the stroma. SignalP (eukaryote settings) accurately predicted the transit peptide cleavage site for soluble proteins targeted to the lumen. SignalP (Gram-negative bacteria settings) reliably predicted peptide cleavage of integral thylakoid proteins inserted into the membrane via the "spontaneous" pathway. The processing sites of more common thylakoid-integral proteins inserted by the signal recognition peptide-dependent pathway were not well predicted by any of the programs. The results suggest the presence of a second thylakoid processing protease that recognizes the transit peptide of integral proteins inserted via the spontaneous mechanism and that this mechanism may be related to the secretory mechanism of Gram-negative bacteria.     

Conserved residues of the leader peptide are essential for cleavage by leader peptidase

Gene 8 of bacteriophage M13 codes for procoat, the precursor of its major coat protein. Gene 8 has been cloned into a plasmid and mutagenized. We have isolated mutants of this gene in which procoat is synthesized but is not processed to coat protein. We now describe mutants in the leader region of procoat, at positions -6, -3, and -1 with respect to the leader peptidase cleavage site. These positions are quite conserved among the leader peptides of various pre-proteins. Each of these mutant procoats is synthesized at a normal rate and inserts correctly into the plasma membrane, as judged by its accessibility to protease in intact spheroplasts. Procoat accumulates, largely in its transmembrane form, and is not cleaved to coat. In detergent extracts, the mutant procoats are very poor substrates for added leader peptidase. We conclude that these 3 residues are not conserved for insertion across the membrane but are part of an essential recognition site for the leader peptidase.     

The sites of synthesis of the principal thylakoid membrane polypeptides in Chlamydomonas reinhardtii

The sites of synthesis of the major thylakoid membrane polypeptides have been studied in the green alga Chlamydomonas reinhardtii by pulse labeling of cells with [14C]acetate in the presence of inhibitors specific for chloroplast and cytoplasmic protein synthesis. The labeled membrane polypeptides were separated by an improved method of sodium dodecyl sulfate (SDS) gradient gel electrophoresis, and autoradiographs were made of the dried gels. The results demonstrate that of the 33 polypeptides resolved in the gels, at least nine are made on chloroplast ribosomes. Two of these (polypeptides 2 and 6) are associated with the reaction centers of photosystems I and II. Another polypeptide (polypeptide 5) appears from genetic data to be coded by chloroplast DNA. Experiments with a mutant whose chloroplast ribosomes are resistant to spectinomycyn (spr-u-1-6-2) show that polypeptides whose synthesis takes place on chloroplast ribosomes are made in the presence of spectinomycin in the mutant although their synthesis is blocked by this antibiotic in wild type cells.     

Light-dependent phosphorylation of thylakoid membrane polypeptides.

The phosphorylation of thylakoid membrane proteins was studied using isolated chloroplasts from $\text{Euglena gracilis}$. We have found, using [³²P] labelling, that this phenomenon was light-driven, reversible in the dark, and completely inhibited by Carbonyl cyanide m-chlorophenyl-hydrazone (CCCP). Polyacrylamide gel electrophoresis containing SDS has revealed five main bands which have been found to be proteins. Amino acid analysis of the bands has shown that [³²P] is incorporated into phosphothreonine.     

Prediction of neuropeptide cleavage sites in insects

MOTIVATION: The production of neuropeptides from their precursor proteins is the result of a complex series of enzymatic processing steps. Often, the annotation of new neuropeptide genes from sequence information outstrips biochemical assays and so bioinformatics tools can provide rapid information on the most likely peptides produced by a gene. Predicting the final bioactive neuropeptides from precursor proteins requires accurate algorithms to determine which locations in the protein are cleaved. RESULTS: Predictive models were trained on Apis mellifera and Drosophila melanogaster precursors using binary logistic regression, multi-layer perceptron and k-nearest neighbor models. The final predictive models included specific amino acids at locations relative to the cleavage sites. Correct classification rates ranged from 78 to 100% indicating that the models adequately predicted cleaved and non-cleaved positions across a wide range of neuropeptide families and insect species. The model trained on D.melanogaster data had better generalization properties than the model trained on A. mellifera for the data sets considered. The reliable and consistent performance of the models in the test data sets suggests that the bioinformatics strategies proposed here can accurately predict neuropeptides in insects with sequence information based on neuropeptides with biochemical and sequence information in well-studied species.     

Requirements of the engineered leader peptide of nisin for inducing modification, export, and cleavage

Nisin A is a pentacyclic peptide antibiotic produced by Lactococcus lactis. The leader peptide of prenisin keeps nisin inactive and has a role in inducing NisB- and NisC-catalyzed modifications of the propeptide and NisT-mediated export. The highly specific NisP cleaves off the leader peptide from fully modified and exported prenisin. We present here a detailed mutagenesis analysis of the nisin leader peptide. For alternative cleavage, we successfully introduced a putative NisP autocleavage site and sites for thrombin, enterokinase, Glu-C, and factor Xa in the C-terminal part of the leader peptide. Replacing residue F-18 with Trp or Thr strongly reduced production. On the other hand, D-19A, F-18H, F-18M, L-16D, L-16K, and L-16A enhanced production. Substitutions within and outside the FNLD box enhanced or reduced the transport efficiency. None of the above substitutions nor even an internal 6His tag from positions -13 to -8 had any effect on the capacity of the leader peptide to induce NisB and NisC modifications. Therefore, these data demonstrate a large mutational freedom. However, simultaneous replacement of the FNLD amino acids by four alanines strongly reduced export and even led to a complete loss of the capacity to induce modifications. Reducing the leader peptide to MSTKDFNLDLR led to 3- or 4-fold dehydration. Taken together, the FNLD box is crucial for inducing posttranslational modifications.     

Adaptive encoding neural networks for the recognition of human signal peptide cleavage sites

MOTIVATION: Data representation and encoding are essential for classification of protein sequences with artificial neural networks (ANN). Biophysical properties are appropriate for low dimensional encoding of protein sequence data. However, in general there is no a priori knowledge of the relevant properties for extraction of representative features. RESULTS: An adaptive encoding artificial neural network (ACN) for recognition of sequence patterns is described. In this approach parameters for sequence encoding are optimized within the same process as the weight vectors by an evolutionary algorithm. The method is applied to the prediction of signal peptide cleavage sites in human secretory proteins and compared with an established predictor for signal peptides. CONCLUSION: Knowledge of physico-chemical properties is not necessary for training an ACN. The advantage is a low dimensional data representation leading to computational efficiency, easy evaluation of the detected features, and high prediction accuracy. Availability: A cleavage site prediction server is located at the Humboldt University http://itb.biologie.hu-berlin.de/ approximately jo/sig-cleave/ACNpredictor.cgi Contact: jo@itb.hu-berlin.de; berndj@zedat.fu-berlin.de     

Prediction of protein signal sequences and their cleavage sites

Protein signal sequences play a central role in the targeting and translocation of nearly all secreted proteins and many integral membrane proteins in both prokaryotes and eukaryotes. The knowledge of signal sequences has become a crucial tool for pharmaceutical scientists who genetically modify bacteria, plants, and animals to produce effective drugs. However, to effectively use such a tool, the first important thing is to find a fast and effective method to identify the "zipcode" entity; this is also evoked by both the huge amount of unprocessed data available and the industrial need to find more effective vehicles for the production of proteins in recombinant systems. In view of this, a sequence-encoded algorithm was developed to identify the signal sequences and predict their cleavage sites. The rate of correct prediction for 1,939 secretory proteins and 1,440 nonsecretory proteins by self-consistency test is 90.14% and that by jackknife test is 90.13%. The encouraging results indicate that the signal sequences share some common features although they lack similarity in sequence, length, and even composition and that they are predictable to a considerably accurate extent.     

SPEPlip: the detection of signal peptide and lipoprotein cleavage sites

SUMMARY: SPEPlip is a neural network-based method, trained and tested on a set of experimentally derived signal peptides from eukaryotes and prokaryotes. SPEPlip identifies the presence of sorting signals and predicts their cleavage sites. The accuracy in cross-validation is similar to that of other available programs: the rate of false positives is 4 and 6%, for prokaryotes and eukaryotes respectively and that of false negatives is 3% in both cases. When a set of 409 prokaryotic lipoproteins is predicted, SPEPlip predicts 97% of the chains in the signal peptide class. However, by integrating SPEPlip with a regular expression search utility based on the PROSITE pattern, we can successfully discriminate signal peptide-containing chains from lipoproteins. We propose the method for detecting and discriminating signal peptides containing chains and lipoproteins. AVAILABILITY: It can be accessed through the web page at http://gpcr.biocomp.unibo.it/predictors/     

Co-translational,intraribosomal cleavage of polypeptides by the foot-and-mouth disease virus 2A peptide

During co-translational protein import into the endoplasmic reticulum ribosomes are docked onto the translocon. This prevents inappropriate exposure of nascent chains to the cytosol and, conversely, cytosolic factors from gaining access to the nascent chain. We exploited this property of co-translational translocation to examine the mechanism of polypeptide cleavage by the 2A peptide of the foot-and-mouth disease virus. We find that the scission reaction is unaffected by placing 2A into a co-translationally targeted protein. Moreover, the portion of the polypeptide C-terminal to the cleavage site remains in the cytosol unless it contains its own signal sequence. The pattern of cleavage is consistent with the proposal that the 2A-mediated cleavage reaction occurs within the ribosome itself. In addition, our data indicate that the ribosome-translocon complex detects the break in the nascent chain and prevents any downstream protein lacking a signal sequence from gaining access to the endoplasmic reticulum.     

The location of phosphorylation sites and Ca2+-dependent proteolytic cleavage sites on the major neurofilament polypeptides from Myxicola infundibulum.

1. When axoplasm is incubated with [32P]Pi the main phosphorylated components are the neurofilament polypeptides. 2. Activation with Ca2+ of the proteinase present in axoplasm causes degradation of these neurofilaments and the peptides produced by this reaction have been analysed by fingerprinting. 3. Fingerprinting shows that initially the Ca2+-activated proteinase cleaves the neurofilament polypeptides at three major sites producing polypeptides with mol.wts. 70,000, 50,000 and 47,000. 4. These polypeptides sediment with filaments, originate from the tail-region of the molecule and contain a little radioactive label. 5. As these polypeptides are produced, other polypeptides that come from the head-region of the molecule are liberated as soluble products that contain the bulk of the radioactivity. 6. Fingerprinting therefore shows that at least two regions on the molecule are phosphorylated and that the major one is located towards the head-end of the polypeptides.     

Prediction of protein cleavage sites by the barley cysteine endoproteases EP-A and EP-B based on the kinetics of synthetic peptide hydrolysis

Hordeins, the natural substrates of barley (Hordeum vulgare) cysteine endoproteases (EPs), were isolated as protein bodies and degraded by purified EP-B from green barley malt. Cleavage specificity was determined by synthesizing internally quenched, fluorogenic tetrapeptide substrates of the general formula 2-aminobenzoyl-P(2)-P(1)-P(1)'-P(2)' 1-tyrosine(NO(2))-aspartate. The barley EPs preferred neutral amino acids with large aliphatic and nonpolar (leucine, valine, isoleucine, and methionine) or aromatic (phenylalanine, tyrosine, and tryptophan) side chains at P(2), and showed less specificity at P(1), although asparagine, aspartate, valine, and isoleucine were particularly unfavorable. Peptides with proline at P(1) or P(1)' were extremely poor substrates. Cleavage sites with EP-A and EP-B preferred substrate sequences are found in hordeins, their natural substrates. The substrate specificity of EP-B with synthetic peptides was used successfully to predict the cleavage sites in the C-terminal extension of barley beta-amylase. When all of the primary cleavage sites in C hordein, which occur mainly in the N- and C-terminal domains, were removed by site-directed mutagenesis, the resulting protein was degraded 112 times more slowly than wild-type C hordein. We suggest that removal of the C hordein terminal domains is necessary for unfolding of the beta-reverse turn helix of the central repeat domain, which then becomes more susceptible to proteolytic attack by EP-B.     

Vectorial discharge of nascent polypeptides attached to chloroplast thylakoid membranes.

Chloroplast thylakoids with attached ribosomes were isolated from Chlamydomonas reinhardti. They were allowed to incorporate labeled amino acids into polypeptides. Labeled membranes were recovered from the reaction mixture, and a portion was treated with puromycin. The amount of labeled polypeptides released to the medium, and to the membranes by puromycin was determined by comparing radioactivity in soluble protein before, and after untreated, and puromycin-treated membranes were solubilized with the detergent Nonidet P-40. About 20% of the radioactive protein associated with the membranes was in nascent chains which were terminated by puromycin. Essentially all of terminated nascent chains remained with the membranes, and thus, were vectorially released. The results support the hypothesis that polypeptides which are synthesized by thylakoid-bound ribosomes are being incorporated into the membranes as they are synthesized.     

Selection of functional signal peptide cleavage sites from a library of random sequences.

The export of proteins to the periplasmic compartment of bacterial cells is mediated by an amino-terminal signal peptide. After transport, the signal peptide is cleaved by a processing enzyme, signal peptidase I. A comparison of the cleavage sites of many exported proteins has identified a conserved feature of small, uncharged amino acids at positions -1 and -3 relative to the cleavage site. To determine experimentally the sequences required for efficient signal peptide cleavage, we simultaneously randomized the amino acid residues from positions -4 to +2 of the TEM-1 beta-lactamase enzyme to form a library of random sequences. Mutants that provide wild-type levels of ampicillin resistance were then selected from the random-sequence library. The sequences of 15 mutants indicated a bias towards small amino acids. The N-terminal amino acid sequence of the mature enzyme was determined for nine of the mutants to assign the new -1 and -3 residues. Alanine was present in the -1 position for all nine of these mutants, strongly supporting the importance of alanine at the -1 position. The amino acids at the -3 position were much less conserved but were consistent with the -3 rules derived from sequence comparisons. Compared with the wild type, two of the nine mutants have an altered cleavage position, suggesting that sequence is more important than position for processing of the signal peptide.     

Evidence for nucleotide-dependent processes in the thylakoid lumen of plant chloroplasts - an update

The thylakoid lumen is an aqueous chloroplast compartment enclosed by the thylakoid membrane network. Bioinformatic and proteomic studies indicated the existence of 80-90 thylakoid lumenal proteins in Arabidopsis thaliana, having photosynthetic, non-photosynthetic or unclassified functions. None of the identified lumenal proteins had canonical nucleotide-binding motifs. It was therefore suggested that, in contrast to the chloroplast stroma harboring nucleotide-dependent enzymes and other proteins, the thylakoid lumen is a nucleotide-free compartment. Based on recent findings, we provide here an updated view about the presence of nucleotides in the thylakoid lumen of plant chloroplasts, and their role in function and dynamics of photosynthetic complexes.     

Nucleus-encoded precursors to thylakoid lumen proteins of Euglena gracilis possess tripartite presequences.

The complete presequences of the nucleus-encoded precursors to two proteins, cytochrome c6 and the 30-kDa protein of the oxygen-evolving complex, that reside in the thylakoid lumen of the chloroplasts of Euglena gracilis are presented. Sorting of these proteins involves translocation across four membranes, the three-membraned chloroplast envelope and the thylakoid membrane. The tripartite presequences show the structure: signal sequence transit sequence signal sequence. Three hydrophobic domains become apparent: two of them correspond to signal sequences for translocation across the endoplasmic reticulum (ER) membrane and the thylakoid membrane, respectively, whereas the third constitutes the stop-transfer signal contained in the long stroma-targeting part of the tripartite presequence.     

Proposals for the naming of chloroplast genes. II. Update to the nomenclature of genes for thylakoid membrane polypeptides

The nomenclature for genes for components of the photosynthetic membranes has been reviewed and updated. Newly discovered genes have been added to the existing convention for gene nomenclature. Genes designatedpetA throughpetI are described for components of the photosynthetic electron transport systems,psaA throughpsaK for photosystem I components, andpsbA throughpsbR for photosystem II, including the extrinsic polypeptides of the oxygen-evolving complex. References for representative examples of each gene are given.     

Incorporation of polypeptides into thylakoid membranes of Chlamydomonas reinhardtii. Cyclic variations

A purified fraction of unstacked thylakoid membranes (TMF1u) has been obtained from homogenates of Chlamydomonas reinhardtii (wild type 137+) by using repeated centrifugates in sucrose density gradients and low salt treatment. The contaminants of the fraction are reduced to a few mitochondria (approximately 3% of the total mitochondrial population), a few osmiophilic granules, and fragments of chloroplast envelopes. By SDS-polyacrylamide gel electrophoresis the polypeptide components of TMF1u were resolved into at least 30 bands. To determine the relative rates of assembly of newly synthesized polypeptides into thylakoid membranes, synchronized algal cells were doubly labeled in vivo with L-[14C] and L-[3H]arginine--used for long- and short-term labeling, respectively. TMF1u's were isolated from the labeled cells at selected time points during the cycle and the distribution of radioactivity was assayed in the gel electrophoretograms of their solubilized polypeptides. Incorporation of newly synthesized polypeptides into the bands of the gels was found to occur continuously but differentially throughout the cycle. Maximal rates of incorporation for the majority of the polypeptides were detected shortly after cell division (6D-7D; equivalent to early G1 phase). The rates of radioactive labeling decreased gradually to a low level at the end of the dark period and then rose slightly at the beginning of the next light period. The findings suggest that, in addition to the light/dark control postulated in the past, assembly of newly synthesized proteins into thylakoid membranes is activated by signals at work in the early G1 phase.     

Prediction of caspase cleavage sites using Bayesian bio-basis function neural networks

MOTIVATION: Apoptosis has drawn the attention of researchers because of its importance in treating some diseases through finding a proper way to block or slow down the apoptosis process. Having understood that caspase cleavage is the key to apoptosis, we find novel methods or algorithms are essential for studying the specificity of caspase cleavage activity and this helps the effective drug design. As bio-basis function neural networks have proven to outperform some conventional neural learning algorithms, there is a motivation, in this study, to investigate the application of bio-basis function neural networks for the prediction of caspase cleavage sites. RESULTS: Thirteen protein sequences with experimentally determined caspase cleavage sites were downloaded from NCBI. Bayesian bio-basis function neural networks are investigated and the comparisons with single-layer perceptrons, multilayer perceptrons, the original bio-basis function neural networks and support vector machines are given. The impact of the sliding window size used to generate sub-sequences for modelling on prediction accuracy is studied. The results show that the Bayesian bio-basis function neural network with two Gaussian distributions for model parameters (weights) performed the best and the highest prediction accuracy is 97.15 +/- 1.13%. AVAILABILITY: The package of Bayesian bio-basis function neural network can be obtained by request to the author.     

Proximity-based proteomics reveals the thylakoid lumen proteome in the cyanobacterium Synechococcus sp. PCC 7002

Cyanobacteria possess unique intracellular organization. Many proteomic studies have examined different features of cyanobacteria to learn about the intracellular structures and their respective functions. While these studies have made great progress in understanding cyanobacterial physiology, the conventional fractionation methods used to purify cellular structures have limitations; specifically, certain regions of cells cannot be purified with existing fractionation methods. Proximity-based proteomics techniques were developed to overcome the limitations of biochemical fractionation for proteomics. Proximity-based proteomics relies on spatiotemporal protein labeling followed by mass spectrometry of the labeled proteins to determine the proteome of the region of interest. We performed proximity-based proteomics in the cyanobacterium Synechococcus sp. PCC 7002 with the APEX2 enzyme, an engineered ascorbate peroxidase. We determined the proteome of the thylakoid lumen, a region of the cell that has remained challenging to study with existing methods, using a translational fusion between APEX2 and PsbU, a lumenal subunit of photosystem II. Our results demonstrate the power of APEX2 as a tool to study the cell biology of intracellular features and processes, including photosystem II assembly in cyanobacteria, with enhanced spatiotemporal resolution.