Hydrophobic, hydrophilic, and charged amino acid networks within protein

The native three-dimensional structure of a single protein is determined by the physicochemical nature of its constituent amino acids. The 20 different types of amino acids, depending on their physicochemical properties, can be grouped into three major classes: hydrophobic, hydrophilic, and charged. The anatomy of the weighted and unweighted networks of hydrophobic, hydrophilic, and charged residues separately for a large number of proteins were studied. Results showed that the average degree of the hydrophobic networks has a significantly larger value than that of hydrophilic and charged networks. The average degree of the hydrophilic networks is slightly higher than that of the charged networks. The average strength of the nodes of hydrophobic networks is nearly equal to that of the charged network, whereas that of hydrophilic networks has a smaller value than that of hydrophobic and charged networks. The average strength for each of the three types of networks varies with its degree. The average strength of a node in a charged network increases more sharply than that of the hydrophobic and hydrophilic networks. Each of the three types of networks exhibits the "small-world" property. Our results further indicate that the all-amino-acids networks and hydrophobic networks are of assortative type. Although most of the hydrophilic and charged networks are of the assortative type, few others have the characteristics of disassortative mixing of the nodes. We have further observed that all-amino-acids networks and hydrophobic networks bear the signature of hierarchy, whereas the hydrophilic and charged networks do not have any hierarchical signature.     

Extensive feature detection of N-terminal protein sorting signals

MOTIVATION: The prediction of localization sites of various proteins is an important and challenging problem in the field of molecular biology. TargetP, by Emanuelsson et al. (J. Mol. Biol., 300, 1005-1016, 2000) is a neural network based system which is currently the best predictor in the literature for N-terminal sorting signals. One drawback of neural networks, however, is that it is generally difficult to understand and interpret how and why they make such predictions. In this paper, we aim to generate simple and interpretable rules as predictors, and still achieve a practical prediction accuracy. We adopt an approach which consists of an extensive search for simple rules and various attributes which is partially guided by human intuition. RESULTS: We have succeeded in finding rules whose prediction accuracies come close to that of TargetP, while still retaining a very simple and interpretable form. We also discuss and interpret the discovered rules.     

Hydrophobic hydrophilic phenomena in biochemical processes

The evolution of concepts developed in the study of the hydrophobic affect is surveyed, within the more general context of solvent-induced effects. A systematic analysis of the solvent-induced contribution to the driving force for the process of protein folding has led to two important modifications in our understanding of these effects. First, the conventional concepts of hydrophobic solvation and hydrophobic interactions had to be replaced by their respective conditional effects. Second, each of the hydrophobic effects has also a corresponding hydrophilic counterpart. Some of the latter effects could contribute significantly to the total driving force for the process of protein folding, and perhaps even dominate the driving force for biochemical processes.     

A new class of lysosomal/vacuolar protein sorting signals

A number of inherited lysosomal diseases are known to result from missorting of lysosomal proteins. Considerable attention has been directed toward an understanding of this sorting pathway, and it has become apparent that different mechanisms are used for the sorting of lysosomal membrane and soluble proteins. Protein sorting to the yeast vacuole/lysosome provides a simple model system to study this process. We have mapped the first sorting signal in a vacuolar membrane protein, repressible alkaline phosphatase, and have shown it to be both necessary and sufficient for vacuolar delivery of this enzyme. The sorting information is confined to the transmembrane and cytoplasmic tail region of this type II integral membrane protein. The location of this sorting signal provides an explanation for some of the differences observed between membrane and soluble vacuolar protein sorting.     

Machine learning approaches for the prediction of signal peptides and other protein sorting signals

Prediction of protein sorting signals from the sequence of amino acids has great importance in the field of proteomics today. Recently, the growth of protein databases, combined with machine learning approaches, such as neural networks and hidden Markov models, have made it possible to achieve a level of reliability where practical use in, for example automatic database annotation is feasible. In this review, we concentrate on the present status and future perspectives of SignalP, our neural network-based method for prediction of the most well-known sorting signal: the secretory signal peptide. We discuss the problems associated with the use of SignalP on genomic sequences, showing that signal peptide prediction will improve further if integrated with predictions of start codons and transmembrane helices. As a step towards this goal, a hidden Markov model version of SignalP has been developed, making it possible to discriminate between cleaved signal peptides and uncleaved signal anchors. Furthermore, we show how SignalP can be used to characterize putative signal peptides from an archaeon, Methanococcus jannaschii. Finally, we briefly review a few methods for predicting other protein sorting signals and discuss the future of protein sorting prediction in general.     

Analysis of dinoflagellate mitochondrial protein sorting signals indicates a highly stable protein targeting system across eukaryotic diversity

Protein targeting into mitochondria from the cytoplasm is fundamental to the cell biology of all eukaryotes. Our understanding of this process is heavily biased towards “model” organisms, such as animals and fungi, and it is less clear how conserved this process is throughout diverse eukaryotes. In this study, we have surveyed mitochondrial protein sorting signals from a representative of the dinoflagellate algae. Dinoflagellates are a phylum belonging to the group Alveolata, which also includes apicomplexan parasites and ciliates. We generated 46 mitochondrial gene sequences from the dinoflagellate Karlodinium micrum and analysed these for mitochondrial sorting signals. Most of the sequences contain predicted N-terminal peptide extensions that conform to mitochondrial targeting peptides from animals and fungi in terms of length, amino acid composition, and propensity to form amphipathic α-helices. The remainder lack predicted mitochondrial targeting peptides and represent carrier proteins of the inner mitochondrial membrane that have internal targeting signals in model eukaryotes. We tested for functional conservation of the dinoflagellate mitochondrial sorting signals by expressing K. micrum mitochondrial proteins in the fungus Saccharomyces cerevisiae. Both the N-terminal and internal targeting signals were sufficiently conserved to operate in this distantly related system. This study indicates that the character of mitochondrial sorting signals was well established prior to the radiation of major eukaryotic lineages and has shown remarkable conservation during long periods of evolution.     

Plant and mammalian sorting signals for protein retention in the endoplasmic reticulum contain a conserved epitope.

We studied protein sorting signals which are responsible for the retention of reticuloplasmins in the lumen of the plant endoplasmic reticulum (ER). A non-specific passenger protein, previously shown to be secreted by default, was used as a carrier for such signals. Tagging with C-terminal tetrapeptide sequences of mammalian (KDEL) and yeast (HDEL) reticuloplasmins led to effective accumulation of the protein chimeras in the lumen of the plant ER. Some single amino acid substitutions within the tetrapeptide tag (-SDEL, -KDDL, -KDEI and -KDEV) can cause a complete loss of its function as a retention signal, demonstrating the high specificity of the retention machinery. However, other modifications confer efficient (-RDEL) or partial (-KEEL) retention. It is also shown that the efficiency of protein retention is not significantly impaired by an increased ligand concentration in plants. The efficiently retained chimeras (-KDEL, -HDEL and -RDEL) were shown to be recognized by a monoclonal antibody directed against the C-terminus of the mammalian reticuloplasmin protein disulfide isomerase (PDI). The recognized epitope is also present in several putative reticuloplasmins in microsomal fractions of plant and mammalian cells, suggesting that the antibodies recognize an important structural determinant of the retention signal. In addition, data are discussed which support the view that upstream sequences beyond the C-terminal tetrapeptide can influence or may be part of the structure of reticuloplasmin retention signals.     

Hydrophobic clusters in protein structures

Globular proteins fold such that the hydrophobic groups are packed inside forming hydrophobic clusters, and the hydrophilic groups are present on the surface. In this article we analyze clusters of hydrophobic groups of atoms in 781 protein structures selected from the PDB. Our analysis showed that every structure consists of two types of clusters: at least one large cluster that forms the hydrophobic core and probably dictates the protein fold; and numerous smaller clusters, which might be involved in the stabilization of the fold. We also analyzed the preference of the hydrophobic groups in each of the amino acids toward forming hydrophobic clusters. We find that hydrophobic groups from the hydrophilic amino acids also contribute toward cluster formation. Proteins 2008. © 2008 Wiley‐Liss, Inc.     

Palmitoylation-dependent protein sorting

S-palmitoylation is a posttranslational modification that regulates membrane-protein interactions. However, palmitate is more than just a hydrophobic membrane anchor, as many different types of protein are palmitoylated, including transmembrane proteins. Indeed, there is now compelling evidence that palmitoylation plays a key role in regulating various aspects of protein sorting within the cell.     

Recognition of sorting signals by clathrin adaptors

Sorting of membrane proteins is generally mediated by cytosolic coats, which create a scaffold to form coated buds and vesicles and to selectively concentrate cargo by interacting with cytosolic signals. The classical paradigm is the interaction between clathrin coats and associated adaptor proteins, which cluster receptors with characteristic tyrosine and dileucine motifs during endocytosis. Clathrin in association with different sets of adaptors is found in addition at the trans-Golgi network and endosomes. Sequences similar to internalization signals also direct lysosomal and basolateral sorting, which implicates related clathrin-adaptor coats in the respective sorting pathways. This review concentrates on the recognition of sorting signals by clathrin-associated adaptor proteins, an area of significant recent progress due to new methodological and conceptual approaches. BioEssays 21:558–567, 1999. © 1999 John Wiley & Sons, Inc.     

Intracellular sorting and targeting of melanosomal membrane proteins: identification of signals for sorting of the human brown locus protein, gp75

The structural and functional integrity of cytoplasmic organelles is maintained by intracellular mechanisms that sort and target newly synthesized proteins to their appropriate cellular locations. In melanocytic cells, melanin pigment is synthesized in specialized organelles, melanosomes. A family of melanocyte-specific proteins, known as tyrosinase-related proteins that regulate melanin pigment synthesis, is localized to the melanosomal membrane. The human brown locus protein, tyrosinase-related protein-1 or gp75, is the most abundant glycoprotein in melanocytic cells, and is a prototype for melanosomal membrane proteins. To investigate the signals that allow intracellular retention and sorting of glycoprotein (gp)75, we constructed protein chimeras containing the amino-terminal extracellular domain of the T lymphocyte surface protein CD8, and transmembrane and cytoplasmic domains of gp75. In fibroblast transfectants, chimeric CD8 molecules containing the 36-amino acid cytoplasmic domain of gp75 were retained in cytoplasmic organelles. Signals in the gp75 cytoplasmic tail alone, were sufficient for intracellular retention and targeting of the chimeric proteins to the endosomal/lysosomal compartment. Analysis of subcellular localization of carboxy-terminal deletion mutants of gp75 and the CD8/gp75 chimeras showed that deletion of up amino acids from the gp75 carboxyl terminus did not affect intracellular retention and sorting, whereas both gp75 and CD8/gp75 mutants lacking the carboxyl-terminal 27 amino acids were transported to the cell surface. This region contains the amino acid sequence, asn-gln-pro-leu-leu-thr, and this hexapeptide is conserved among other melanosomal proteins. Further evidence showed that this hexapeptide sequence is necessary for intracellular sorting of gp75 in melanocytic cells, and suggested that a signal for sorting melanosomal proteins along the endosomal/lysosomal pathway lies within this sequence. These data provide evidence for common signals for intracellular sorting of melanosomal and lysosomal proteins, and support the notion that lysosomes and melanosomes share a common endosomal pathway of biogenesis.     

Molecular signals in protein sorting in epithelial cells: implication of the transmembrane domain and the post-translational process]

Protein sorting in epithelial cells is the major event that drive the onset and the maintenance of the functional cell polarity. A lot of interdependent steps are involved in protein sorting and targeting. Recent data describing the last results obtained in this field will be reviewed in the first part of this article. Molecular signals harbored by proteins to specify their destination are thought to be the driven force to sort given protein in a given pathway. The basolateral targeting signals so far identified are known for several years and are of the same nature, whereas apical targeting signals are still discussed and are of diverse molecular nature. Dipeptidyl peptidase IV (DPP IV/CD26) targeting signals have not been described so far and it will be interesting to study these signals, since the protein reach the apical membrane of epithelial cells through different pathways that strongly depend on the cell type considered. These different pathways result in DPP IV membrane localizations that may explain the multifunctional properties of DPP IV such as enzymatic digestion, interaction with extracellular matrix proteins, capture and transport of circulating proteins. We have undertaken the study of DPP IV molecular targeting signals and we will described here how the transmembrane domain and the glycosylation of the ectodomain may be involved in DPP IV apical targeting, with a special reference to the cell type specificity.     

The sorting sequence of the peroxisomal integral membrane protein PMP47 is contained within a short hydrophilic loop

No targeting sequence for peroxisomal integral membrane proteins has yet been identified. We have previously shown that a region of 67 amino acids is necessary to target Pmp47, a protein that spans the membrane six times, to peroxisomes. This region comprises two membrane spans and the intervening loop. We now demonstrate that the 20 amino acid loop, which is predicted to face the matrix, is both necessary and sufficient for peroxisomal targeting. Sufficiency was demonstrated with both chloramphenicol acetyltransferase and green fluorescent protein as carriers. There is a cluster of basic amino acids in the middle of the loop that we predict protrudes from the membrane surface into the matrix by a flanking stem structure. We show that the targeting signal is composed of this basic cluster and a block of amino acids immediately down-stream from it.     

Hydrophobic mismatch and lipid sorting near OmpA in mixed bilayers: atomistic and coarse-grained simulations

To understand the effects of lipid composition on membrane protein function in a mixture as complex as a biomembrane, one must know whether the lipid composition local to the protein differs from the mean lipid composition. In this study, we simulated the transmembrane domain of a β-barrel protein, OmpA, in mixtures of lipids of different tail lengths under conditions of negative hydrophobic mismatch, i.e., local bilayer thinning. We modeled the influence of OmpA on the local lipid composition both at a coarse-grained (CG) resolution using conventional molecular dynamics, and at an atomistic resolution within the semi-grand canonical ensemble using mutation moves to rapidly approach an equilibrium lateral distribution of lipids. Moderate enrichment of the shorter tail component (either DDPC in DDPC/DMPC mixtures or DMPC in DMPC/DSPC mixtures) extending 2-3 nm away from the protein surface was observed with both the atomistic and CG models. The similarity in trends suggests that the more computationally economical CG models capture the essential features of lipid sorting induced by hydrophobic mismatch.     

Hydrophobic core packing and protein design

Over the past few years, we have witnessed exciting advances in protein design. Several groups have reported success in the design of hydrophobic cores, and the principles developed in these studies have been recently applied to the full sequence design of a small protein motif and the design of a catalytically active metal center. These successes suggest that designing large, functional proteins in computero is more feasible than ever before.     

Polarized sorting of beta-amyloid precursor protein and its proteolytic products in MDCK cells is regulated by two independent signals

Progressive cerebral deposition of the amyloid (A beta) beta-protein is an early and invariant feature of Alzheimer's disease. A beta is derived by proteolysis from the membrane-spanning beta-amyloid precursor protein (beta APP). beta APP is processed into various secreted products, including soluble beta APP (APPs), the 4-kD A beta peptide, and a related 3-kD peptide (p3). We analyzed the mechanisms regulating the polarized basolateral sorting of beta APP and its proteolytic derivatives in MDCK cells. Deletion of the last 32 amino acids (residues 664-695) of the beta APP cytoplasmic tail had no influence on either the constitutive approximately 90% level of basolateral sorting of surface beta APP, or the strong basolateral secretion of APPs, A beta, and p3. However, deleting the last 42 amino acids (residues 654-695) or changing tyrosine 653 to alanine altered the distribution of cell surface beta APP so that approximately 40-50% of the molecules were inserted apically. In parallel, A beta was now secreted from both surfaces. Surprisingly, this change in surface beta APP had no influence on the basolateral secretion of APPs and p3. This result suggests that most beta APP molecules which give rise to APPs in MDCK cells are cleaved intracellularly before reaching the surface. Consistent with this conclusion, we readily detected intracellular APPs in carbonate extracts of isolated membrane vesicles. Moreover, ammonium chloride treatment resulted in the equal secretion of APPs into both compartments, as occurs with other non-membranous, basolaterally secreted proteins, but it did not influence the polarity of cell surface beta APP. These results demonstrate that in epithelial cells two independent mechanisms mediate the polarized trafficking of beta APP holoprotein and its major secreted derivative (APPs) and that A beta peptides are derived in part from beta APP holoprotein targeted to the cell surface by a signal that includes tyrosine 653.