Using subsite coupling to predict signal peptides

Given a nascent protein sequence, how can one predict its signal peptide or "Zipcode" sequence? This is a first important problem for scientists to use signal peptides as a vehicle to find new drugs or to reprogram cells for gene therapy. Based on a model that takes into account the coupling effect among some key subsites, the so-called [-3, -1, +1] coupling model, a new prediction algorithm is developed. The overall rate of correct prediction for 1939 secretory proteins and 1440 non-secretary proteins was over 92%. It has not escaped our attention that the new method may also serve as a useful tool for helping investigate further many unclear details regarding the molecular mechanism of the ZIP code protein-sorting system in cells.     

Support vector machines for prediction of protein signal sequences and their cleavage sites

Given a nascent protein sequence, how can one predict its signal peptide or "Zipcode" sequence? This is an important problem for scientists to use signal peptides as a vehicle to find new drugs or to reprogram cells for gene therapy (see, e.g. K.C. Chou, Current Protein and Peptide Science 2002;3:615-22). In this paper, support vector machines (SVMs), a new machine learning method, is applied to approach this problem. The overall rate of correct prediction for 1939 secretary proteins and 1440 nonsecretary proteins was over 91%. It has not escaped our attention that the new method may also serve as a useful tool for further investigating many unclear details regarding the molecular mechanism of the ZIP code protein-sorting system in cells.     

The history of essentialism vs. Ernst Mayr's “Essentialism Story”: A case study of German idealistic morphology

Idealistic morphology as perhaps the most important historical manifestation of typology is very suitable for a historical analysis of Ernst Mayr's “Essentialism Story”, which postulates an antagonism between “typological thinking” and “population thinking”. We show that German-language idealistic-morphological theories consisted of two clearly distinguishable parts. The cornerstone of these theories was the concept of the type as an abstract pattern representing a certain class of phenomena and embodying the norm of this class. The primary objective of pure typology was to create a non-phylogenetic classification system for living organisms based on structurally explicable characters. Thus, typology, as a non-phylogenetic foundation of idealistic morphology, was conceptually neutral with respect to hypotheses of evolutionary mechanisms. Typology was often accompanied by concepts such as Lamarckism, orthogenesis, creationism, essentialism, etc. These peripheral (with respect to pure typology) concepts were autonomous constructions and did not represent a direct logical consequence of typology. In our view “population thinking”, as part of the Darwinian theory of evolutionary mechanism, could not be directly opposed to “typological thinking”. Rather, it was peripheral concepts such as essentialism or creationism that led to conflicts between the Modern Synthesis and idealistic morphology.     

A di-leucine sorting signal in ZIP1 (SLC39A1) mediates endocytosis of the protein

It has been demonstrated that the plasma membrane expression of ZIP1 is regulated by endocytic mechanisms. In the zinc-replete condition, the level of surface expressed ZIP1 is low due to the rapid internalization of ZIP1. The present study aimed to identify a sorting signal(s) in ZIP1 that mediated endocytosis of ZIP1. Four potential sorting signals (three di-leucine-and one tyrosine-based) were found by searching the eukaryotic linear motif resource for functional sites in proteins (http://elm.eu.org). Site-directed mutagenesis and immunofluorescence microscopic analyses demonstrated that the di-leucine sorting signal, ETRALL144-149, located in the variable loop region of ZIP1, was required for the ZIP1 internalization and lysosomal degradation. Substitutions of alanines for the di-leucine residues (LL148,149/AA) severely impaired the internalization of ZIP1 and subsequent protein degradation, leading to an accumulation of the mutant ZIP1 on the cell surface, as well as inside the cell. Using chimeric proteins composed of an alpha-chain of interleukin-2 receptor fused to the peptides derived from the variable loop region of ZIP1, we found that the di-leucine sorting signal of ZIP1 was required and sufficient for endocytosis of the chimeric proteins.     

Akt phosphorylates Connexin43 on Ser373, a "mode-1" binding site for 14-3-3

Connexin43 (Cx43) is a membrane-spanning protein that forms channels that bridge the gap between adjacent cells and this allows for the intercellular exchange of information. Cx43 is regulated by phosphorylation and by interacting proteins. “Mode-1” interaction with 14-3-3 requires phosphorylation of Ser373 on Cx43 (Park et al. 2006). Akt phosphorylates and targets a number of proteins to interactions with 14-3-3. Here we demonstrate that Akt phosphorylates Cx43 on Ser373 and Ser369; antibodies recognizing Akt-phosphorylated sites or phospho-Ser “mode-1” 14-3-3-binding sites recognize a protein from EGF-treated cells that migrates as Cx43, and GST-14-3-3 binds to Cx43 phosphorylated endogenously in EGF-treated cells. Confocal microscopy supports the co-localization of Cx43 with Akt and with 14-3-3 at the outer edges of gap junctional plaques. These data suggest that Akt could target Cx43 to an interaction with 14-3-3 that may play a role in the forward trafficking of Cx43 multimers and/or their incorporation into existing gap junctional plaques.     

Presence of intestinal, liver and heart/adipocyte fatty-acid-binding protein types in the liver of a chimaera fish

Five fatty-acid-binding proteins from the liver of the elephant fish (Callorhynchus callorhynchus), a chimaera fish that belongs—together with the elasmobranchs—to the ancient chondrichthyes class were isolated and characterized. The purification procedures for these proteins involved gel filtration, anion-exchange chromatography, and sodium dodecyl sulfate-polyacrylamide gel electrophoresis as a last step. They were submitted to “in gel” tryptic or cyanogen bromide digestion and the resulting peptides were separated by high performance liquid chromatography and then sequenced by Edman degradation. According to their partial amino acid sequences, one of them presents the highest identity with fatty-acid-binding proteins from human and catfish liver, another three with those from mammalian heart or adipose tissue and the fifth with the mammalian intestinal fatty-acid-binding protein. The presence of various members of this protein family, as now found in elephant fish and previously in catfish (Rhamdia sapo) liver, does not occur in mammalian liver which expresses only one a characteristic fatty-acid-binding protein.     

Prediction of protein signal sequences and their cleavage sites by statistical rulers

Functioning as an "address tag" or "zip code" that guides nascent proteins (newly synthesized proteins in the cytosol) to wherever they are needed, signal peptides (also called targeting signals or signal sequences) have become a crucial tool in finding new drugs or reprogramming cells for gene therapy. To effectively and timely use such a tool, however, the first important thing is to develop an automated method for quickly and accurately identifying the signal peptide for a given nascent protein. With the avalanche of new protein sequences generated in the post-genomic era, the challenge has become even more urgent and critical. In this paper, five statistical rulers were derived via performing a mutual information analysis. By combining these statistical rulers, a new prediction algorithm was established and high success prediction rates were observed. The new algorithm may play a complementary role to the existing algorithms in this area. It is anticipated that the mutual information approach introduced here may be very useful for studying many other sequence-coupling problems in molecular biology as well.     

The relationship between base composition and codon usage in bacterial genes and its use for the simple and reliable identification of protein-coding sequences

Bacterial genes that code for proteins appear to possess a codon usage characteristic of their overall base composition. This results in different but predictable non-random distributions of nucleotides within codons, permitting the recognition of protein-coding sequences in a wide range of bacterial species. The nature of this distribution depends on the base composition of the coding sequence. The position-specific differences are especially conspicuous in genes of extreme G + C content, allowing the particularly reliable prediction of the reading frame and coding strand of experimentally determined DNA sequences. This fmding has been exploited to identify the coding sequence of the viomycin phosphotransferase (vph) gene of Streptomyces vinaceus. An easily applied computer program (“Frame”) has been written to carry out and display such analyses.     

ApicoAMP: The first computational model for identifying apicoplast-targeted transmembrane proteins in Apicomplexa

Background

Computational identification of apicoplast-targeted proteins is important in drug target determination for diseases such as malaria. While there are established methods for identifying proteins with a bipartite signal in multiple species of Apicomplexa, not all apicoplast-targeted proteins possess this bipartite signature. The publication of recent experimental findings of apicoplast membrane proteins, called transmembrane proteins, that do not possess a bipartite signal has made it feasible to devise a machine learning approach for identifying this new class of apicoplast-targeted proteins computationally.

Methodology/principal findings

In this work, we develop a method for predicting apicoplast-targeted transmembrane proteins for multiple species of Apicomplexa, whereby several classifiers trained on different feature sets and based on different algorithms are evaluated and combined in an ensemble classification model to obtain the best expected performance. The feature sets considered are the hydrophobicity and composition characteristics of amino acids over transmembrane domains, the existence of short sequence motifs over cytosolically disposed regions, and Gene Ontology (GO) terms associated with given proteins. Our model, ApicoAMP, is an ensemble classification model that combines decisions of classifiers following the majority vote principle. ApicoAMP is trained on a set of proteins from 11 apicomplexan species and achieves 91% overall expected accuracy.

Conclusions/significance

ApicoAMP is the first computational model capable of identifying apicoplast-targeted transmembrane proteins in Apicomplexa. The ApicoAMP prediction software is available at http://code.google.com/p/apicoamp/ and http://bcb.eecs.wsu.edu.     

The Difference Between Activity When in Bed and Out of Bed. II. Subjects on 27-Hour “Days”

Nine healthy subjects have been studied while exposed to the normal alternation of light and dark, but with their sleep and activity pattern adjusted to a 27-h “day” for 17 imposed “days.” Rectal temperature showed clearly the competing influences of 27-h and 24-h components, and these were separated by the method of “purification.” The method indicated that the endogenous component had a constant amplitude throughout the experiment and remained entrained to solar (24-h) time; by contrast, the exogenous component followed the imposed 27-h “day” and increased rectal temperature in proportion to the amount of subjects' activity. Wrist movement was used to assess activity while in bed (attempting sleep) and out of bed (when naps were forbidden). While these results confirmed adherence of the subjects to the imposed 27-h “days,” they also showed that the dichotomy between “out of bed” activity and “in bed” inactivity depended on the phase relationship between endogenous (24h) and exogenous (27h) components. Thus, the dichotomy was highest and was equal to that during control days (with a conventional 24-h life-style) when the two components were in phase and lowest when the solar and imposed day were in antiphase. This was due to changes in activity, both during time spent in bed and out of bed.

We confirm that this protocol can produce valuable information about the properties of the circadian system in humans and the value of the process of purification of temperature data. We have established also that the very simple and noninvasive measurement of wrist movement, coupled with its use to calculate dichotomy indices, provides valuable information that both confirms and extends the results obtained from the more conventional (butalso more invasive) measurement of rectal temperature.     

Gap junction-mimetic peptides do work, but in unexpected ways

Gap junction mimetic peptides containing sequences of the extracellular loops of connexins inhibit the de-novo formation of gap junction channels but do not impair the function of existing cell-cell channels. Recently, a flurry of publications appeared showing that such “GAP” peptides attenuate ATP release and/or surrogate measures of it. Although no direct effect on putative connexin “hemichannels” has ever been shown, the peptide effect has been used as diagnostic tool for demonstrating the existence of such channels. However, testing of the peptides on genuine unapposed membrane channels formed by connexins failed to reveal any inhibitory action of the peptides on channel activity. Instead, membrane channels formed by the unrelated pannexin1 were inhibited in the same concentration range as described for the release of ATP. Consequently, rather than indicating connexin involvement in ATP release, the GAP peptide effects represent supporting evidence for a role of pannexin1 in this process.     

地衣芽孢杆菌DSM13分泌蛋白信号肽分析

地衣芽孢杆菌是重要的工业微生物,对于其分泌途径及信号肽进行预测和分析,有助于改善影响蛋白分泌的关键因素,高效生产异源蛋白。本研究首次在全基因范围内,利用SignalPv3.0等方法识别了地衣芽孢杆菌DSM13中各种分泌蛋白的信号肽。DSM13信号肽类型包括分泌型Sec信号肽、双精氨酸Tat信号肽、脂蛋白信号肽、IV型纤毛结构信号肽及生物信息素信号肽。同时分析了分泌途径组成,信号肽长度,氨基酸组成,各分泌信号肽特征,与枯草芽孢杆菌的异同以及重要工业酶制剂的分泌途径。该研究对使DSM13成为更有效分泌表达外源蛋白表达系统,具有重要的理论指导意义。     

Haemonchus contortus: evaluation of two signal sequence trapping systems for detection of secreted molecules

Given that signal sequences between secreted proteins of different species can be interchanged, it is reasonable to expect that both mammalian and yeast signal sequence trapping (SST) systems would secrete Haemonchus contortus proteins with similar efficiency and quality. To determine if H. contortus cDNAs that contain a signal sequence could re-establish secretion of a reporter protein, mammalian and yeast SST vectors were designed, 10 H. contortus genes selected, and their respective cDNAs cloned into these two SST vectors. The selected molecules included genes known to code for excretory/secretory or membrane-bound proteins as potential test 'positives', and genes known to code for non-secreted proteins as test 'negatives'. While differentiation between secretion and non-secretion was evident in both systems, the results indicated greater efficiency was achieved when the mammalian system was used. Therefore, mammalian SST using COS cells would be a more useful tool to screen H. contortus cDNA libraries for potential secreted and type-1 integral membrane proteins than yeast SST.     

The plant vesicular transport engineering for production of useful recombinant proteins

The molecular breeding of plants that have been genetically engineered for improved disease resistance and stress tolerance has been undertaken with the goal of improving food production. More recently, it has been realized that transgenic plants can serve as bioreactors for the production of proteins or compounds with industrial or clinical uses. Several different recombinant enzymes and antibodies have been produced in this manner. To maximize the potential of industrial plants as a production system for proteins, efficient expression systems utilizing promoters that optimize transgene expression, 5′-untranslated region elements for efficient translation, and appropriate post-translational modifications and localization must be developed. This review summarizes successful examples of the production of recombinant enzymes, antibodies, and vaccines using signal peptides that direct vesicular localization in transgenic plants. We further discuss the modulation of recombinant protein localization to the endoplasmic reticulum, vacuolar system, or extracellular compartments by varying the signal peptide.     

Systematic implications of the sesquiterpene lactones in the “strumarium” morphological complex (Xanthium strumarium, Asteraceae) of Europe, Asia and Africa

In most populations of the “strumarium” morphological complex of Xanthium strumarium L. (sensu lato) in northern Europe and in India, a new compound, xanthinosin, is the only detectable sesquiterpene lactone. In populations of this morphological complex in Portugal and Egypt as well as in eastern Asia, USSR, Korea, Hong Kong and Taiwan, xanthinin and xanthatin occur as major constituents along with xanthinosin. Experimental F, hybrids between pistillate Indian plants which contained only xanthinosin and staminate plants from Hong Kong which contained a mixture of xanthinin, xanthatin and xanthinosin produced a mixture of compounds in which the percentage of xanthinin increased relative to its percentage in the Hong Kong parent. The sesquiterpenoid data suggest that the various taxa in the “strumarium” morphological complex can be divided into three groups: (a) X. strumarium (sensu stricto) and X. indicum König, containing primarily or exclusively xanthinosin; (b) X. sibiricum Patrin and X. brasilicum Vell., with xanthinin and xanthinosin predominating; and (c) X. inaequilaterum DC., with almost equal proportions of xanthinin, xanthatin and xanthinosin. Two other taxa of the complex. X. japonicum Widd. and X. abyssinicum Wallr., were not available for inclusion in the present study.     

The role of dynamic stimulation pattern in the analysis of bistable intracellular networks

Bistable systems play an important role in the functioning of living cells. Depending on the strength of the necessary positive feedback one can distinguish between (irreversible) “one-way switch” or (reversible) “toggle-switch” type behavior. Besides the well- established steady-state properties, some important characteristics of bistable systems arise from an analysis of their dynamics. We demonstrate that a supercritical stimulus amplitude is not sufficient to move the system from the lower (off-state) to the higher branch (on-state) for either a step or a pulse input. A switching surface is identified for the system as a function of the initial condition, input pulse amplitude and duration (a supercritical signal). We introduce the concept of bounded autonomy for single level systems with a pulse input. Towards this end, we investigate and characterize the role of the duration of the stimulus. Furthermore we show, that a minimal signal power is also necessary to change the steady state of the bistable system. This limiting signal power is independent of the applied stimulus and is determined only by systems parameters. These results are relevant for the design of experiments, where it is often difficult to create a defined pattern for the stimulus. Furthermore, intracellular processes, like receptor internalization, do manipulate the level of stimulus such that level and duration of the stimulus is conducive to characteristic behavior.     

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.     

Use of an epitope-tagged cDNA library to isolate cDNAs encoding proteins with nuclear localization potential

We have combined epitope tagging with an expression cDNA library in order to isolate cDNAs encoding nuclear proteins. This system allows us to detect proteins expressed from the cDNA library by using antibodies against the epitope tag. As a tag, we used the 85-aa N-terminal peptide of the SV40 T antigen which lacks the nuclear localization signal (NLS). A strong expression vector, pEF204 [Kim et al., Gene 91 (1990) 217–223], was modified into an epitope-tagging vector, pTkim, by putting the tag-coding region and a cDNA cloning site immediately after its promoter. From cDNA libraries constructed using pTkim, we isolated eight cDNA clones whose tagged proteins were localized within the nuclei. From partial sequence analysis, two cDNAs were shown to code for the ribosomal (r-) proteins, simian L44 and human L21, and the others were shown to be new. Furthermore, six cDNAs including those encoding the r-proteins could direct a non-karyophilic T antigen [Fischer-Fantuzzi et al. Virology 153 (1986) 87–95] into nuclei, showing that they have NLSs. These results indicate that this system is useful for isolating new cDNAs which code for nuclear proteins.     

A relationship between heat load and plasma enzyme concentration

1. 1. The sensitivity of serum enzyme levels as indicators of tissue damage is less well established in the prodromal period of heatstroke, especially for sub-lethal stress conditions.

2. 2. Anaesthetized rats were exposed to two different sets of thermal conditions.

3. 3. Plasma levels of alanine aminotransferase (ALT), aspartate aminotransferase (AST), creatine kinase (CK) and lactate dehydrogenase (LD) were assayed in each group upon termination of stress, 6 h post-stress and 24 h post-stress.

4. 4. The tissue “damage” sustained was mild to moderate and completely reversible.

5. 5. The rate of rise in body temperature may constitute an important factor in the ultimate pathology.

6. 6. CK proved to be the most sensitive parameter of tissue “damage”.