Computational differentiation of N-terminal signal peptides and transmembrane helices

Signal peptides and transmembrane helices both contain a stretch of hydrophobic amino acids. This common feature makes it difficult for signal peptide and transmembrane helix predictors to correctly assign identity to stretches of hydrophobic residues near the N-terminal methionine of a protein sequence. The inability to reliably distinguish between N-terminal transmembrane helix and signal peptide is an error with serious consequences for the prediction of protein secretory status or transmembrane topology. In this study, we report a new method for differentiating protein N-terminal signal peptides and transmembrane helices. Based on the sequence features extracted from hydrophobic regions (amino acid frequency, hydrophobicity, and the start position), we set up discriminant functions and examined them on non-redundant datasets with jackknife tests. This method can incorporate other signal peptide prediction methods and achieve higher prediction accuracy. For Gram-negative bacterial proteins, 95.7% of N-terminal signal peptides and transmembrane helices can be correctly predicted (coefficient 0.90). Given a sensitivity of 90%, transmembrane helices can be identified from signal peptides with a precision of 99% (coefficient 0.92). For eukaryotic proteins, 94.2% of N-terminal signal peptides and transmembrane helices can be correctly predicted with coefficient 0.83. Given a sensitivity of 90%, transmembrane helices can be identified from signal peptides with a precision of 87% (coefficient 0.85). The method can be used to complement current transmembrane protein prediction and signal peptide prediction methods to improve their prediction accuracies.     

大肠埃希氏杆菌UTI89分泌蛋白组的预测分析

目的：从大肠埃希氏杆菌UTI89基因组中筛选出全部潜在的分泌蛋白并进行初步研究。方法：使用SignalP3.0、TatP1.0、 SecretomeP2.0等蛋白分析软件对5211个ORF进行预测;对筛选出的信号肽及分泌蛋白的基本特征进行统计学分析;使用Blast 2 Sequences进行同源性分析。结果：共筛选出432个sec途径分泌蛋白,19个Tat途径分泌蛋白,386个非经典分泌蛋白;信号肽、分泌蛋白平均长度分别为25.5aa、282.8aa;信号肽中出现频率最高的3种氨基酸依次为L、A、S;仅有两个信号肽的氨基酸序列完全相同,相应的分泌蛋白高度同源。结论：大肠埃希氏杆菌UTI89基因组中有837个ORF可能编码分泌蛋白;分泌蛋白集中在500aa以下;组成信号肽的氨基酸相对保守,多数为疏水氨基酸;信号肽变异性较大,含相同信号肽的蛋白可能由同源基因编码。     

The nucleotide and partial amino acid sequence of toxic shock syndrome toxin-1

The nucleotide sequence of toxic shock syndrome toxin-1 (TSST-1) has been determined. In addition, one-third of the predicted amino acid sequence was confirmed by amino acid sequence analysis of cyanogen bromide-generated TSST-1 protein fragments. The DNA sequencing results identified a 708-base pair open reading frame starting with an ATG, 7 base pairs downstream from a Shine-Dalgarno sequence, and terminating at a UAA stop codon. Amino acid analysis of the intact protein defined the NH2 terminus of the mature protein and located the cleavage point for the signal peptide (Ala/Ser). The signal peptide contained the first 40 amino acids and had characteristic structural similarities with other bacterial signal peptides. The coding sequence of the mature protein was 585 base pairs (194 amino acids) in length, and the molecular weight of the predicted protein was 22,049. This is in good agreement with the previously reported molecular weight of TSST-1 (22,000), as determined by sodium dodecyl sulfate-polyacrylamide gel electrophoresis. NH2-terminal amino acid sequence analysis performed on isolated TSST-1 CNBr fragments determined the position of the peptides in the TSST-1 sequence and verified the predicted amino acid sequence in those positions. Computer analyses of the amino acid sequence showed that TSST-1 has little or no sequence homology with biologically related toxins, streptococcal pyrogenic exotoxin A, and staphylococcal enterotoxins B and C.     

Systematic high-yield production of human secreted proteins in Escherichia coli

Human secreted proteins play a very important role in signal transduction. In order to study all potential secreted proteins identified from the human genome sequence, systematic production of large amounts of biologically active secreted proteins is a prerequisite. We selected 25 novel genes as a trial case for establishing a reliable expression system to produce active human secreted proteins in Escherichia coli. Expression of proteins with or without signal peptides was examined and compared in E. coli strains. The results indicated that deletion of signal peptides, to a certain extent, can improve the expression of these proteins and their solubilities. More importantly, under expression conditions such as induction temperature, N-terminus fusion peptides need to be optimized in order to express adequate amounts of soluble proteins. These recombinant proteins were characterized as well-folded proteins. This system enables us to rapidly obtain soluble and highly purified human secreted proteins for further functional studies.     

The complete nucleotide sequence of the gene coding for diphtheria toxin in the corynephage omega (tox+) genome.

A segment of corynephage omega (tox+) DNA, containing the gene for diphtheria toxin (tox) was fragmented with restriction enzymes and the fragments cloned into M13 vectors for nucleotide sequence determination. A long open reading frame was shown to encode the tox gene by comparing the predicted amino acid sequence with that of peptides derived from the mature toxin molecule. Analysis of the nucleotide sequence shows RNA polymerase and ribosome binding signals preceding a GTG codon in the open reading frame: if this is the correct starting signal for translation, then a 25 amino acid signal peptide can be predicted for the toxin molecule.     

An Anti-microbial Peptide Derivative of Flesh Fruit Fly Mimics Secretory Signal Sequence and Inhibits Signal Peptidase-I in the Export Pathway

Combinatorial search of the antimicrobial peptide R⁷SLCLLHCRLK from flesh fruit fly yielded a substantially more active peptide of the sequence KLKL₅KLK-NH₂ that had signal sequence character as revealed by Neural-network survey. Bioinformatics survey of KLKL_nKLK revealed a sigmoidal relationship between SSP and the intervening Leu stretch. Synthetic enantiomeric KLKL_nKLK peptides inhibited Escherichia coli signal peptidase-I, in vitro, in correlation with their SSPs; KLKL₆₍₇₎KLK exterted maximum inhibition. Both (l)-and (d)-forms were bactericidal to Gram-positive and Gram-negative bacteria. However, the protease-resistant (d)-KLKL₆KLK-NH₂ proved more potent than (d)-KLKL₆KLK-NH₂ at inhibiting the bacterial protein secretion prior to inducing bacterial lysis. Kinetic analyses of the interaction of these peptides with the signal peptidase-I revealed competitive inhibition with K_i of 10 μM and 35 μM for the (d)- and (l)-forms, respectively. The left and right-handed helicity of the respective peptides assessed by CD concurs with their probable interaction at the active site of signal peptidase-I. Tasawar Khan is deceased.     

Proteomics-based consensus prediction of protein retention in a bacterial membrane

The availability of complete bacterial genome sequences allows proteome-wide predictions of exported proteins that are potentially retained in the cytoplasmic membranes of the corresponding organisms. In practice, however, major problems are encountered with the computer-assisted distinction between (Sec-type) signal peptides that direct exported proteins into the growth medium and lipoprotein signal peptides or amino-terminal membrane anchors that cause protein retention in the membrane. In the present studies, which were aimed at improving methods to predict protein retention in the bacterial cytoplasmic membrane, we have compared sets of membrane-attached and extracellular proteins of Bacillus subtilis that were recently identified through proteomics approaches. The results showed that three classes of membrane-attached proteins can be distinguished. Two classes include 43 lipoproteins and 48 proteins with an amino-terminal transmembrane segment, respectively. Remarkably, a third class includes 31 proteins that remain membrane-retained despite the presence of typical Sec-type signal peptides with consensus signal peptidase recognition sites. This unprecedented finding indicates that unknown mechanisms are involved in membrane retention of this class of proteins. A further novelty is a consensus sequence indicative for release of certain lipoproteins from the membrane by proteolytic shaving. Finally, using non-overlapping sets of secreted and membrane-retained proteins, the accuracy of different signal peptide prediction algorithms was assessed. Accuracy for the prediction of protein retention in the membrane was increased to 82% using a majority-vote approach. Our findings provide important leads for future identification of surface proteins from pathogenic bacteria, which are attractive candidate infection markers and potential targets for drugs or vaccines.     

Signal-sequence Trap in Mammalian and Yeast Cells: A Comparison

Membrane associated and secreted proteins are translated as precursors containing a signal peptide that allows protein-insertion into the membrane of the endoplasmic reticulum and is co-translationally removed in the lumen. The ability of the signal peptide to direct a polypeptide into the secretory pathway is exploited in methods developed to select cDNAs encoding such proteins. Different strategies are known in which cDNA libraries can be screened for signal peptides by the ability of the latter to rescue the translocation of signal sequence-less proteins. In one method, a cDNA library is tested for interleukin 2 receptor α chain translocation to the membrane in COS cells, in another one for invertase secretion from yeast. In this work, we compared the two systems by testing six mouse signal peptides in COS and yeast cells. All of them were functional in the mammalian system, whereas only three of them in yeast. Two other sequences needed the 5′ cDNA sequence flanking the ATG codon to be removed in order to enable protein translocation. Although the structure of signal sequences and the functioning of the secretory machinery are well conserved from prokaryotes to eukaryotes, it seems evident that not all signal peptides can be interchanged between different proteins and organisms. In particular, signal peptides that are functional in the mammalian system do not necessarily lead to protein translocation in yeast. Received: 9 March 2001     

Biophysical studies of signal peptides: Implications for signal sequence functions and the involvement of lipid in protein export

This review discusses efforts to understand the mode of action of signal sequences by biophysical study of synthetic peptides corresponding to these protein localization signals. On the basis of reports from several laboratories, it is now clear that signal peptides may adopt a variety of conformations, depending on their local environment. In membrane-mimetic systems like detergent micelles or lipid vesicles, they have a high tendency to form helices. Ability to take up a helical conformation appears to be required at some point in the function of a signal sequence, since some peptides corresponding to export-defective signal sequences display reduced helical potential. By contrast, functional signal sequences share a high capacity to adopt helices. High affinity for organized lipid assemblies, like monolayers or vesicles, is also a property of functional signal sequences. This correlation suggests a role for direct interaction of signal sequences with the lipids of the cytoplasmic membranein vivo. Supporting this role are studies of the influence of signal peptides on lipid structure, which reveal an ability of these peptides to pertub lipid packing and to alter the phase state of the lipids. Insertion of the signal sequencein vivo could substantially reduce the barrier for translocation of the mature chain. Lastly, synthetic signal peptides have been added to native membranes and found to inhibit translocation of precursor proteins. This approach bridges the biophysical and the biochemical aspects of protein export and promises to shed light on the functional correlates of the properties and interactions observed in model systems.     

A new family of antimicrobial peptides from skin secretions of Rana pleuraden

While conducting experiments to investigate antimicrobial peptides of amphibians living in the Yunnan-Guizhou region of southwest China, a new family of antimicrobial peptides was identified from skin secretions of the Yunnan frog, Rana pleuraden. Members of the new peptide family named pleurain-As are composed of 26 amino acids with a unique N-terminal sequence (SIIT) and a disulfide-bridged heptapeptide sequence (CRLYNTC). By BLAST search, pleurain-As had no significant similarity to any known peptides. Native and synthetic peptides showed antimicrobial activities against tested microorganisms including Gram-negative and Gram-positive bacteria and fungi. Twenty different cDNAs encoding pleurain-As were cloned from the skin cDNA library of R. pleuraden. The precursors of pleurain-As are composed of 69 amino acid residues including predicted signal peptides, acidic propieces, and cationic mature antimicrobial peptides. The preproregion of pleurain-A precursor comprises a hydrophobic signal peptide of 22 residues followed by an 18 residue acidic propiece which terminates by a typical prohormone processing signal Lys-Arg. The preproregions of precursors are very similar to other amphibian antimicrobial peptide precursors but the mature pleurain-As are different from other antimicrobial peptide families. The remarkable similarity of preproregions of precursors that give rise to very different antimicrobial peptides in distantly related frog species suggests that the corresponding genes form a multigene family originating from a common ancestor. Furthermore, pleurain-As could exert antimicrobial capability against Helicobacter pylori. This is the first report of naturally occurring peptides with anti-H. pylori activity from Rana amphibians.     

Recognition of signal sequences

The hypothesis assumes that every continuous, entirely hydrophobic sequence of sufficient length, which is not involved in strong intramolecular contacts with other parts of the nascent protein chain, will function as a signal for translocation across the endoplasmic reticulum membrane or across the inner bacterial membrane. The signal peptide is proposed to be deeply immersed into a hydrophobic cleft of the receptor. Accordingly, only the entirely nonpolar peptides can be absorbed and, despite different primary structures, all of them would assume the same conformation dictated by the structure of the receptor pocket.     

Comparison of different signal peptides for secretion of heterologous proteins in fission yeast

In the fission yeast Schizosaccharomyces pombe, there are relatively few signal peptides available and most reports of their activity have not been comparative. Using sequence information from the S. pombe genome database we have identified three putative signal peptides, designated Cpy, Amy and Dpp, and compared their ability to support secretion of green fluorescent protein (GFP). In the comparison we also included the two well-described secretion signals derived from the precursors of, respectively, the Saccharomyces cerevisiae alpha-factor and the S. pombe P-factor. The capability of the tested signal peptides to direct secretion of GFP varied greatly. The alpha-factor signal did not confer secretion to GFP and all the produced GFP was trapped intracellular. In contrast, the Cpy signal peptide supported efficient secretion of GFP with yields approximating 10 mg/L. We also found that the use of an attenuated version of the S. cerevisiae URA3 marker substantially increases vector copy number and expression yield in fission yeast.     

Direct cDNA cloning of novel conotoxins of the T-superfamily from Conus textile

The T-superfamily is a large and diverse group of peptides, widely distributed in venom ducts of all major feeding types of Conus. These peptides are likely to be functionally diverse. A directed PCR-based approach using primers based on the conserved signal sequence was applied to investigate new conotoxins of the T-superfamily from Conus textile native to Hainan. Using RT-PCR and 3'-RACE, four novel cDNA sequences encoding precursor peptides were identified in C. textile. They share a common T-superfamily cysteine pattern (CC-CC, with two disulfide bridges). The predicted peptides are small (9-12 amino acids). TeAr193 composed of nine amino acid residues is one of the shortest T-superfamily conotoxins ever found. Patterns of sequence divergence and Cys codon usage define the major T-superfamily branches and suggest how these separate branches arose. The sequences of the signal regions exhibited highest conservation, whereas the sequences of the mature peptides were either almost identical or highly divergent; and conservation of the pro-region was intermediate between that observed in signal and toxin regions. The elucidated cDNAs of the four toxins will facilitate a better understanding of the relationship between structure and function.     

How many signal peptides are there in bacteria?

Over the last 5 years proteogenomics (using mass spectroscopy to identify proteins predicted from genomic sequences) has emerged as a promising approach to the high‐throughput identification of protein N‐termini, which remains a problem in genome annotation. Comparison of the experimentally determined N‐termini with those predicted by sequence analysis tools allows identification of the signal peptides and therefore conclusions on the cytoplasmic or extracytoplasmic (periplasmic or extracellular) localization of the respective proteins. We present here the results of a proteogenomic study of the signal peptides in Escherichia coli K‐12 and compare its results with the available experimental data and predictions by such software tools as SignalP and Phobius. A single proteogenomics experiment recovered more than a third of all signal peptides that had been experimentally determined during the past three decades and confirmed at least 31 additional signal peptides, mostly in the known exported proteins, which had been previously predicted but not validated. The filtering of putative signal peptides for the peptide length and the presence of an eight‐residue hydrophobic patch and a typical signal peptidase cleavage site proved sufficient to eliminate the false‐positive hits. Surprisingly, the results of this proteogenomics study, as well as a re‐analysis of the E. coli genome with the latest version of SignalP program, show that the fraction of proteins containing signal peptides is only about 10%, or half of previous estimates.     

SPRED: A machine learning approach for the identification of classical and non-classical secretory proteins in mammalian genomes

Eukaryotic protein secretion generally occurs via the classical secretory pathway that traverses the ER and Golgi apparatus. Secreted proteins usually contain a signal sequence with all the essential information required to target them for secretion. However, some proteins like fibroblast growth factors (FGF-1, FGF-2), interleukins (IL-1 alpha, IL-1 beta), galectins and thioredoxin are exported by an alternative pathway. This is known as leaderless or non-classical secretion and works without a signal sequence. Most computational methods for the identification of secretory proteins use the signal peptide as indicator and are therefore not able to identify substrates of non-classical secretion. In this work, we report a random forest method, SPRED, to identify secretory proteins from protein sequences irrespective of N-terminal signal peptides, thus allowing also correct classification of non-classical secretory proteins. Training was performed on a dataset containing 600 extracellular proteins and 600 cytoplasmic and/or nuclear proteins. The algorithm was tested on 180 extracellular proteins and 1380 cytoplasmic and/or nuclear proteins. We obtained 85.92% accuracy from training and 82.18% accuracy from testing. Since SPRED does not use N-terminal signals, it can detect non-classical secreted proteins by filtering those secreted proteins with an N-terminal signal by using SignalP. SPRED predicted 15 out of 19 experimentally verified non-classical secretory proteins. By scanning the entire human proteome we identified 566 protein sequences potentially undergoing non-classical secretion. The dataset and standalone version of the SPRED software is available at http://www.inb.uni-luebeck.de/tools-demos/spred/spred.     

Protein export in prokaryotes and eukaryotes: Indications of a difference in the mechanism of exportation

Summary Investigation of possible variations between prokaryotic and eukaryotic signal sequences of exported proteins has revealed unexpected differences. Apart from the known similarities (presence of a core hydrophobic sequence preceded by a positively charged amino terminus and followed by a flexible structure), we have found that the core is much more rigid in eukaryotic signals than in their prokaryotic counterparts, and that at both ends the constraints are much more stringent in bacteria than in human cells. The differences have been summarized as a set of 17 criteria describing noteworthy features discriminating between the two classes of signal peptides. The program we used permitted each class of sequences to be learned;Escherichia coli sequences were well learned (i.e., they could be recognized by the programs as having common features), whereas human sequences were found to exhibit a much wider variation. Thus it was possible to propose a consensus in the case of the bacterial peptides, but none (or a much looser one) in the case of the human sequences. Two sequences were exceptional among theE. coli signal peptides, those of lipoprotein and plasmid-borne beta-lactamase, suggesting that they have special origins or destinations. Finally, the differences found strongly suggest that the mode of secretion is rather different in the two types of organisms, in spite of the common features of the signal sequences.     

Sequence diversity of O-superfamily conopetides from Conus marmoreus native to Hainan

The full-length cDNAs of six new O-superfamily conotoxins (CTX) were cloned and sequenced from Conus marmoreus native to Hainan in China South Sea using RT-PCR and 3′-RACE. Six novel conotoxin precursors encoded by these cDNAs consist of three typical regions of signal, pro-peptide and mature peptide. All the six toxin regions share a common O-superfamily cysteine pattern (C-C-CC-C-C, with three disulfide bridges). The predicted precursors are composed of 73–88 amino acids, and the predicted mature peptides consist of 26–34 amino acids. Phylogenetic analysis of new conotoxins from C. marmoreus from the present study and published homologue T-superfamily sequences from other Conus species was performed systematically. Patterns of sequence divergence for three regions of signal, pro-region and mature peptides, as well as Cys codon usage define the major O-superfamily branches and suggest how these separate branches arose. Percent identities of the amino acid sequences of the signal region exhibited high conservation, whereas the sequences of the mature peptides ranged from almost identical to highly divergent between inter- and intra-species. Notably, the diversity of the pro-region was also high with intermediate divergence between that observed in signal and toxin regions. Amino acid sequences and their mode of action (target) of previously identified conotoxins from molluscivorous C. marmoreus for the known conotoxins classes are discussed in detail. The data presented are new and should pave the way for chemical synthesis of these unique conotoxins for to allow determination of the molecular targets of these peptides, and also to provide clues for a better understanding of the phylogeny of these peptides.     

Engineering a noncarrier to a highly efficient carrier peptide for noncovalently delivering biologically active proteins into human cells

Noncovalent protein delivery into cells via peptide carriers is an emerging concept. Only a handful of such peptides are known. To address various limitations associated with protein delivery for therapeutic purposes, a greater number of different delivery peptides would be required. No general method exists for creating such peptides. By combining a sequence of 16 lysine residues (K16) with the signal peptide (SP) sequence of Kaposi's fibroblast growth factor (K-FGF), we have synthesized a peptide (K16SP) that efficiently and noncovalently delivers functionally intact proteins (immunoglobulin G molecules, beta-galactosidase, and green fluorescent protein) into mammalian cells. The peptides K16 and SP each alone did not show any noncovalent protein-carrying capacity. K16SP appears to be nontoxic to cells and three to four times more efficient than a commercially available peptide reagent. Our approach offers proof-of-concept of a general strategy for creating a diverse array of peptide carriers for eventual therapeutic applications.     

A novel family of antimicrobial peptides from the skin of Amolops loloensis

While conducting experiments to investigate antimicrobial peptides of amphibians living in the Yunnan-Sichuan region of southwest China, a new family of antimicrobial peptides was identified from skin secretions of the rufous-spotted torrent frog, Amolops loloensis. Members of the new peptide family named amolopins are composed of 18 amino acids with a unique sequence, for example, NILSSIVNGINRALSFFG. By BLAST search, amolopins did no show similarity to any known peptides. Among the tested microorganisms, native and synthetic peptides only showed antimicrobial activities against Staphylococcus aureus ATCC2592 and Bacillus pumilus, no effects on other microorganisms. The CD spectroscopy showed that it adopted a structure of random combined with beta-sheet in water, Tris-HCl or Tris-HCl-SDS. Several cDNAs encoding amolopins were cloned from the skin cDNA library of A. loloensis. The precursors of amolopin are composed of 62 amino acid residues including predicted signal peptides, acidic propieces, and mature antimicrobial peptides. The preproregion of amolopin precursor comprises a hydrophobic signal peptide of 22 residues followed by an 18 residue acidic propiece which terminates by a typical prohormone processing signal Lys-Arg. The preproregions of precursors are very similar to other amphibian antimicrobial peptide precursors but the mature amolopins are different from other antimicrobial peptide families. The remarkable similarity of preproregions of precursors that give rise to very different antimicrobial peptides in distantly related frog species suggests that the corresponding genes form a multigene family originating from a common ancestor.