Distinct sequence determinants direct intracellular sorting and modification of a yeast vacuolar protease

We have mapped a sequence determinant in the vacuolar glycoprotein carboxypeptidase Y (CPY) that directs intracellular sorting of this enzyme. Through the study of hybrid proteins, consisting of amino-terminal segments of CPY fused to the secretory enzyme invertase, we have found that the N-terminal 50 amino acids of CPY are sufficient to direct delivery of a CPY-Inv hybrid protein to the yeast vacuole. Our data suggest that this 50 amino acid segment of CPY contains two distinct functional domains; an N-terminal signal peptide followed by a segment of 30 amino acids that contains the vacuolar sorting signal. Deletion of this putative vacuole sorting signal from an otherwise wild-type CPY protein leads to missorting of CPY. Furthermore, examination of the Asn-linked oligosaccharides present on CPY and CPY-Inv hybrid proteins suggests that an additional determinant in CPY specifies the extent to which these proteins are glycosylated in the Golgi complex.     

Functional genomics of intracellular peptide recognition domains with combinatorial biology methods

Phage-displayed peptide libraries have been used to identify specific ligands for peptide-binding domains that mediate intracellular protein-protein interactions. These studies have provided significant insights into the specificities of particular domains. For PDZ domains that recognize C-terminal sequences, the information has proven useful in identifying natural binding partners from genomic databases. For SH3 domains that recognize internal proline-rich motifs, the results of database searches with phage-derived ligands have been compared with the results of yeast-two-hybrid experiments to produce overlap networks that reliably predict natural protein-protein interactions. In addition, libraries of phage-displayed PDZ and SH3 domains have been used to identify the residues responsible for ligand recognition, and also to engineer domains with altered specificities.     

Exploring antibody recognition of sequence space through random-sequence peptide microarrays

A universal platform for efficiently mapping antibody epitopes would be of great use for many applications, ranging from antibody therapeutic development to vaccine design. Here we tested the feasibility of using a random peptide microarray to map antibody epitopes. Although peptide microarrays are physically constrained to ～10(4) peptides per array, compared with 10(8) permitted in library panning approaches such as phage display, they enable a much more high though put and direct measure of binding. Long (20 mer) random sequence peptides were chosen for this study to look at an unbiased sampling of sequence space. This sampling of sequence space is sparse, as an exact epitope sequence is unlikely to appear. Commercial monoclonal antibodies with known linear epitopes or polyclonal antibodies raised against engineered 20-mer peptides were used to evaluate this array as an epitope mapping platform. Remarkably, peptides with the most sequence similarity to known epitopes were only slightly more likely to be recognized by the antibody than other random peptides. We explored the ability of two methods singly and in combination to predict the actual epitope from the random sequence peptides bound. Though the epitopes were not directly evident, subtle motifs were found among the top binding peptides for each antibody. These motifs did have some predictive ability in searching for the known epitopes among a set of decoy sequences. The second approach using a windowing alignment strategy, was able to score known epitopes of monoclonal antibodies well within the test dataset, but did not perform as well on polyclonals. Random peptide microarrays of even limited diversity may serve as a useful tool to prioritize candidates for epitope mapping or antigen identification.     

Small RNA sorting: matchmaking for Argonautes

Small RNAs directly or indirectly impact nearly every biological process in eukaryotic cells. To perform their myriad roles, not only must precise small RNA species be generated, but they must also be loaded into specific effector complexes called RNA-induced silencing complexes (RISCs). Argonaute proteins form the core of RISCs and different members of this large family have specific expression patterns, protein binding partners and biochemical capabilities. In this Review, we explore the mechanisms that pair specific small RNA strands with their partner proteins, with an eye towards the substantial progress that has been recently made in understanding the sorting of the major small RNA classes - microRNAs (miRNAs) and small interfering RNAs (siRNAs) - in plants and animals.     

Determinants for intracellular sorting of cytoplasmic and nuclear intermediate filaments

The mechanism by which nuclear and cytoplasmic filaments are sorted in vivo was studied by examining which lamin sequences are required to target an otherwise cytoplasmic IF protein, the small neurofilament subunit (NF-L), to the nuclear lamina. By swapping corresponding domains between NF-L and lamin A, nuclear envelope targeting of NF-L was shown to require the presence of the "head" domain, a 42-amino acid sequence unique to lamin rod domains, a nuclear localization signal and the CAAX motif. Replacement of the entire COOH-terminal tail of lamin A with that of NF-L had no discernible effect on nuclear localization of lamin A, provided the substituted NF-L tail contained a NLS and a CAAX motif. This chimeric protein exhibited characteristics more typical of lamin B than that of the parental lamin A. With regard to cytoplasmic assembly properties, substitution of the head domain of lamin A for that of NF-L did not substantially affect the ability of NF-L to coassemble with vimentin in the cytoplasm. In contrast, insertion of a 42-amino acid sequence unique to lamin rod domains into NF-L profoundly affected NF-L coassembly with vimentin indicating that the 42-amino acid insertion in lamins may be important for sorting lamins from cytoplasmic IF proteins.     

Role of peptide primary sequence in polyphenol-protein recognition: an example with neurotensin

Polyphenols are known for their impact on health and one of their major properties is the formation of complexes with proteins. To investigate the involvement of polyphenol-protein complexes in health, the interactions between bioactive polyphenols and neurotensin were examined by structural NMR and molecular modeling. Neurotensin is a linear bioactive tridecapeptide and polyphenols seem to affect the NT metabolism. We studied the polyphenols resveratrol and its glucoside the piceid in order to observe the possible role of glucose group and the penta-O-galloyl-D-glucopyranose (PGG). NMR data and molecular modeling showed that interaction occurred with the three polyphenols involving hydrophobic stacking and hydrogen bonds. Moreover, the peptide primary sequence plays a role in the specificity of complex formation.     

Parallel sequence tagging for concept recognition

Background

Named Entity Recognition (NER) and Normalisation (NEN) are core components of any text-mining system for biomedical texts. In a traditional concept-recognition pipeline, these tasks are combined in a serial way, which is inherently prone to error propagation from NER to NEN. We propose a parallel architecture, where both NER and NEN are modeled as a sequence-labeling task, operating directly on the source text. We examine different harmonisation strategies for merging the predictions of the two classifiers into a single output sequence.

Results

We test our approach on the recent Version 4 of the CRAFT corpus. In all 20 annotation sets of the concept-annotation task, our system outperforms the pipeline system reported as a baseline in the CRAFT shared task, a competition of the BioNLP Open Shared Tasks 2019. We further refine the systems from the shared task by optimising the harmonisation strategy separately for each annotation set.

Conclusions

Our analysis shows that the strengths of the two classifiers can be combined in a fruitful way. However, prediction harmonisation requires individual calibration on a development set for each annotation set. This allows achieving a good trade-off between established knowledge (training set) and novel information (unseen concepts).

     

Gramicidin A-based peptide vector for intracellular protein delivery

The development of the peptide-based vectors for the intracellular delivery of biologically active macromolecules has opened new prospects of their application in research and therapy. Earlier the amphipathic cell-penetrating peptide (CPP) Pep-1 was reported to mediate cellular uptake of proteins without covalent binding to them. In this work we studied the ability of a series of membrane-active amphipathic peptides, based on the gramicidin A sequence, to transport a model protein across the eukaryotic cell membrane. Among them the positively charged Cys-containing peptide P10C demonstrated the most effective β-galactosidase intracellular delivery. Besides, this peptide was shown to form noncovalent associates with β-galactosidase as judged from electrophoresis and enzymatic activity assays. In addition, a series of new gramicidin analogues were prepared and the effect of N-terminus modification of gramicidin on the protein transduction efficiency was studied.     

Functional diversity of FGF-2 isoforms by intracellular sorting

Regulation of the subcellular localization of certain proteins is a mechanism for the regulation of their biological activities. FGF-2 can be produced as distinct isoforms by alternative initiation of translation on a single mRNA and the isoforms are differently sorted in cells. High molecular weight FGF-2 isoforms are not secreted from the cell, but are transported to the nucleus where they regulate cell growth or behavior in an intracrine fashion. 18 kDa FGF-2 can be secreted to the extracellular medium where it acts as a conventional growth factor by binding to and activation of cell-surface receptors. Furthermore, following receptor-mediated endocytosis, the exogenous FGF-2 can be transported to the nuclei of target cells, and this is of importance for the transmittance of a mitogenic signal. The growth factor is able to interact with several intracellular proteins. Here, the mode of action and biological role of intracellular FGF-2 are discussed.     

Flow sorting from organ material by intracellular markers.

BACKGROUND: Fluorescence-activated cell sorting (FACS) is an attractive technique for gene or protein expression studies in rare cell populations. For cell types where specific surface markers are not known, intracellular markers can be used. However, this approach is currently held to be difficult, as the required fixation and permeabilization may cause protein modification and RNA degradation. METHODS AND RESULTS: Using the rat thyroid gland as model, rare (parafollicular) and frequent (follicular) endocrine cell types were sorted based on immunostaining for intracellular calcitonin peptide and thyroglobulin protein expression. The sorted cells were compatible with Western blot analysis of proteins, immunoassay detection of calcitonin peptide hormone and RT-PCR. CONCLUSION: We developed a robust FACS protocol that allows flow sorting of rare cells from dissociated organ material, based on intracellular markers. Our FACS protocol is compatible with downstream analysis of proteins, peptides, and mRNA in the sorted cells.     

Analysis of intracellular receptor/ligand sorting in endosomes

After binding to specific cell surface receptors, many extracellular ligand molecules are internalized via the process termed receptor-mediated endocytosis. Within the cell, in endosomes, a sorting process occurs: receptors and ligands are directed along various intracellular pathways. The extent of this intracellular separation of receptors from ligands has been shown experimentally to vary with receptor and ligand properties such as binding affinity and valency. In this paper, we propose and analyze a simple model mechanism for the sorting process based on binding and dissociation kinetics along with diffusive molecular transport. We show that the outcome of the sorting process can be directly linked to measurable parameters such as the intrinsic rate constants for the binding to, dissociation from, and crosslinking of receptors by ligands. We further show that this mechanism is able to account for the wide range of reported experimental observations. Manipulation of ligand and receptor properties guided by the results presented here may enable the outcome of the sorting process to be controlled.     

Identifying specificity profiles for peptide recognition modules from phage-displayed peptide libraries

Signaling complexes usually involve multidomain proteins containing catalytic domains and peptide recognition modules (PRMs), which mediate protein-protein interactions and assemble complexes by binding to ligands containing a core sequence motif. Concomitant to large-scale physical interaction screening, considerable effort has been devoted toward the elucidation of consensus profiles for common PRMs. We describe herein a robust and proven protocol to generate consensus profiles for PRMs using phage-displayed peptide libraries. The initial phase of the protocol entails the cloning, expression and purification of PRMs as fusion proteins, in addition to the construction of highly diverse phage-displayed peptide libraries. The affinity selection process described thereafter enables a single researcher to efficiently probe the recognition profiles of numerous PRMs in a 1 week time period.     

Single sequence of a helix-loop peptide confers functional anticodon recognition on two tRNA synthetases.

The specific aminoacylation of RNA oligonucleotides whose sequences are based on the acceptor stems of tRNAs can be viewed as an operational RNA code for amino acids that may be related to the development of the genetic code. Many synthetases also have direct interactions with tRNA anticodon triplets and, in some cases, these interactions are thought to be essential for aminoacylation specificity. In these instances, an unresolved question is whether interactions with parts of the tRNA outside of the anticodon are sufficient for decoding genetic information. Escherichia coli isoleucyl- and methionyl-tRNA synthetases are closely related enzymes that interact with their respective anticodons. We used binary combinatorial mutagenesis of a 10 amino acid anticodon binding peptide in these two enzymes to identify composite sequences that would confer function to both enzymes despite their recognizing different anticodons. A single peptide was found that confers function to both enzymes in vivo and in vitro. Thus, even in enzymes where anticodon interactions are normally important for distinguishing one tRNA from another, these interactions can be 'neutralized' without losing specificity of amino-acylation. We suggest that acceptor helix interactions may play a role in providing the needed specificity.     

Disruption of a receptor-mediated mechanism for intracellular sorting of proinsulin in familial hyperproinsulinemia

In familial hyperproinsulinemia, specific mutations in the proinsulin gene are linked with a profound increase in circulating plasma proinsulin levels. However, the molecular and cellular basis for this disease remains uncharacterized. Here we investigated how these mutations may disrupt the sorting signal required to target proinsulin to the secretory granules of the regulated secretory pathway, resulting in the unregulated release of proinsulin. Using a combination of molecular modeling and site-directed mutagenesis, we have identified structural molecular motifs in proinsulin that are necessary for correct sorting into secretory granules of endocrine cells. We show that membrane carboxypeptidase E (CPE), previously identified as a prohormone-sorting receptor, is essential for proinsulin sorting. This was demonstrated through short interfering RNA-mediated depletion of CPE and transfection with a dominant negative mutant of CPE in a beta-cell line. Mutant proinsulins found in familial hyperproinsulinemia failed to bind to CPE and were not sorted efficiently. These findings provide evidence that the elevation of plasma proinsulin levels found in patients with familial hyperproinsulinemia is caused by the disruption of CPE-mediated sorting of mutant proinsulins to the regulated secretory pathway.     

Role of peptide primary sequence in polyphenol–protein recognition: An example with neurotensin

Polyphenols are known for their impact on health and one of their major properties is the formation of complexes with proteins. To investigate the involvement of polyphenol–protein complexes in health, the interactions between bioactive polyphenols and neurotensin were examined by structural NMR and molecular modeling. Neurotensin is a linear bioactive tridecapeptide and polyphenols seem to affect the NT metabolism. We studied the polyphenols resveratrol and its glucoside the piceid in order to observe the possible role of glucose group and the penta-O-galloyl-d-glucopyranose (PGG). NMR data and molecular modeling showed that interaction occurred with the three polyphenols involving hydrophobic stacking and hydrogen bonds. Moreover, the peptide primary sequence plays a role in the specificity of complex formation.     

Functions of sorting nexin 17 domains and recognition motif for P-selectin trafficking

SNX17 is a member of the sorting nexin family (SNX), a group of hydrophilic proteins whose common characteristic property is a phox homology (PX) domain. The PX domain directs SNXs to phosphatidylinositides containing membranes of the endosomal compartment, where the SNXs are involved in the sorting of transmembrane proteins. SNX17 is known to interact with P-selectin and the LDL receptor family. Here, we report that the PX domain of SNX17 specifically binds to phosphatidylinositol 3-phosphate-containing membranes. The functional part of SNX17 that binds P-selectin or Patched (PTCH) consists of a truncated FERM domain and a unique C terminus together (FC-unit). In a yeast two-hybrid analysis a putative recognition motif for the FC-unit was revealed within P-selectin as FxNaa(F/Y). When HepG2 cells overexpress P-selectin together with SNX17, SNX17 changes its distribution from early endosomes to lysobisphosphatidic acid-containing late endosomes. Furthermore, overexpressed SNX17 restrains P-selectin in the outer membrane of the late endosomal compartment, thus preventing the normal lysosomal accumulation of P-selectin. These results suggest that the PX domain is necessary for the intracellular localisation, while the FC-unit is required for cargo recognition. We hypothesise that the expression level of SNX17 may regulate the lysosomal degradation, at least for P-selectin, by suppressing its entry into the inner vesicles of the multi-vesicular bodies (MVBs).     

Probability-based pattern recognition and statistical framework for randomization: modeling tandem mass spectrum/peptide sequence false match frequencies

MOTIVATION: In proteomics, reverse database searching is used to control the false match frequency for tandem mass spectrum/peptide sequence matches, but reversal creates sequences devoid of patterns that usually challenge database-search software. RESULTS: We designed an unsupervised pattern recognition algorithm for detecting patterns with various lengths from large sequence datasets. The patterns found in a protein sequence database were used to create decoy databases using a Monte Carlo sampling algorithm. Searching these decoy databases led to the prediction of false positive rates for spectrum/peptide sequence matches. We show examples where this method, independent of instrumentation, database-search software and samples, provides better estimation of false positive identification rates than a prevailing reverse database searching method. The pattern detection algorithm can also be used to analyze sequences for other purposes in biology or cryptology. AVAILABILITY: On request from the authors. SUPPLEMENTARY INFORMATION: http://bioinformatics.psb.ugent.be/.     

Abnormal intracellular sorting of O-linked carbohydrate-deficient interleukin-2 receptors.

The synthesis and intracellular sorting of the interleukin-2 (IL-2) receptor were studied with a line of mutant Chinese hamster ovary (CHO) cells with a reversible defect in protein O glycosylation. Under normal culture conditions the mutant ldlD cannot add N-acetylgalactosamine (Ga1NAc) to proteins. Ga1NAc is the first sugar of mucin-type O-linked oligosaccharides attached to protein. This O-glycosylation defect is rapidly corrected when Ga1NAc is added to the culture mediu. An expression vector for the p55 human IL-2 receptor was transfected into wild-type CHO and ldlD cells and the structure, stability, and cell surface expression of the receptor were examined by immunoprecipitation and antibody-binding assays. Essentially all of the mature form of the normally glycosylated IL-2 receptor in both wild-type CHO cells and ldlD cells incubated with Ga1NAc was expressed on the cell surface. The stability of O-linked carbohydrate-deficient (Od) IL-2 receptors (in ldlD cells without Ga1NAc) was normal; however, missorting of the Od receptors resulted in very little cell surface expression. The sialidase sensitivity and endoglycosidase H resistance of mature Od IL-2 receptors suggest that Od receptor missorting occurred in or beyond the trans Golgi apparatus. The abnormal sorting of the Od IL-2 receptor is compared with the O-glycosylation dependence of the surface expression and stability of the low-density lipoprotein receptor, decay-accelerating factor, and the major antigen envelope protein of Epstein-Barr virus.