Target Protein Sequence Research Articles

Artificial DnaJ Protein for protein production and conformational diseases

For secreted proteins, proper protein folding is essential not only for biological function but also for secretion itself. Proteins with folding problems are trapped in the endoplasmic reticulum (ER) and are eventually degraded in the cytoplasm. In this study, we exploited co-expression of an artificial fusion protein, based on the sequence of a DnaJ protein, which could interact as co-chaperones in the Hsp70-based protein-folding system, with target recombinant secreted proteins to enhance their production and secretion. The J-domain sequence or a fragment thereof was conjugated to a target protein–binding domain that was capable of binding to a portion of the target-protein sequence. Production of many of the target proteins was significantly upregulated when co-expressed with the J-domain fusion protein. Surprisingly, the enhancement of secretion was observed even when the J-domain had a mutation in the HPD motif, which is necessary for J-protein–Hsp70 interactions, suggesting the phenomenon observed is independent on functional J-protein–Hsp70 interactions. This technology has great potential for not only enhancing the production of recombinant proteins, but also to treat conformational diseases such as cystic fibrosis, and Alpha-1 antitrypsin deficiency.

Identify Key Sequence Features to Improve CRISPR sgRNA Efficacy

The CRISPR/Cas9 system is a creative and innovative gene editing biotechnology tool in genetic engineering. Although several achievements have been attained using the CRISPR/Cas9 system, it is still a challenge to avoid off-target effects and improve the editing efficacy. Previous efforts on evaluating the efficacy and designing the guide RNA mainly focused on DNA properties. However, some DNA features have not been characterized but can be reflected by protein properties, such as the disorder features and the sequence conservation. In this paper, we provided a computational framework to identify important features related to the efficacy of CRISPR/Cas9 focusing on the properties of the proteins encoded by the target DNA fragments. The feature selection method, maximal-relevance-minimal-redundancy, was adopted to analyze these features. And incremental feature selection together with support vector machine, were employed to extract optimal features, on which an optimal classifier can be constructed. As a result, 152 important features were extracted, with which an optimal classifier based on support vector machine was built. This classifier obtained the highest MCC value of 0.355. Finally, a series of detailed biological analyses were performed on the optimal features. From the results, we found that some key factors may differentially affect the binding activity of sgRNAs to their targets. Among them, the disorder status of the target protein sequences was found to be a major factor that is related to the efficacy of sgRNAs, suggesting the DNA features associated with the protein disorder status could also affect the CRISPR/Cas9 efficacy.

Human Cytomegalovirus PUL97 Drug-Resistance Mutations in Congenitally Neonates and HIV-infected, No-Drug-Treated Patients

Aim: Human cytomegalovirus (HCMV) treatment is hard to achieve because of viral protein target sequence variations. Objectives: We aimed to find HCMV pUL97 kinase variations in HIV- and congenitally infected patients. Methods: Twenty HCMV-positive DNA samples from nonganciclovir treated congenitally infected neonates and HIV positive patients were used for PCR restriction fragment length polymorphism. Variations were assessed computationally for pUL97 functionality. Results: P521L, D605E and N597Y substitutions were prevalent significantly in congenital infection. Furthermore, we found those mutations have neutral or low impact on pUL97 functionality. In addition, we found a new K599Q substitution in an HIV-infected individual. Conclusion: More prevalent substitutions related to low-grade ganciclovir resistance were found in congenitally infected neonates in comparison with HIV-infected patients.

Evaluating the immunostimulatory characteristics of LicKM, a novel carrier protein.

Abstract The key objective of vaccination is the induction of an effective pathogen-specific immune response that leads to protection against infection and/or disease caused by that pathogen. New vaccine technologies have resulted in second-generation recombinant vaccines containing highly purified antigens with improved tolerability and safety profiles. Unfortunately, the immune responses they induce are suboptimal without the help of adjuvants. Here, utilizing a non-toxic bacterial carrier molecule from Clostridium thermocellum a modified Lichenase (LicKM) and based upon preliminary results we hypothesize, that this serves a dual purpose; as both a mechanism to carrier dominant immunogenic epitopes for presentation to antigen presenting cells during vaccination and as an adjuvant enhancing immunity. This thermostable enzyme contains a catalytic domain loop structure separating it into two regions; an N-terminal and C-terminal region. Target protein sequences are expressed as either N or C terminal fusions; and this molecule, LicKM, may contain a single or double fusion. Currently, we are investigating the mechanism by which this molecule enhances the host humoral and cell-mediated response to vaccination. At this time, we have determined that LicKM physically binds to cells associated with the immune response. Additionally, murine vaccination in the presence of LicKM enhances antibody isotype titer production and possibly enhances the cellular responses. Our goal is to understand the immunostimulatory capability of this protein for its possible use to enhance future vaccination protocols.

Quick Reliable Exploration of the PDB Universe Seeks a New Template Search Algorithm

Near-native protein structure prediction through Template Based Modelling (TBM) has been a major realistic goal of structural biology for several years. The TBM algorithms require the best-set of templates for a target protein sequence to maximally cover it and construct its correct topology. However, the accuracy of such prediction algorithms suffers from the algorithmic and logical problems of our template search measures which fail to quickly screen reliable structures for a target sequence. In this study, we employ the culled PDB95 dataset of 41,967 templates to predict the CASP10 target T0752 models for assessing the efficiency of the usually employ search engines PSI-BLAST and HHPred. Our analysis presents a detailed study in order to open new vistas for improving the accuracy of TBM prediction methodologies. It reveals weaknesses of most popular template search measures and thereby briefly provides a significant insight into the qualities of a foreseen template search algorithm to illustrate the need for a more reliable template search algorithm.

DecoyPyrat: Fast Non-redundant Hybrid Decoy Sequence Generation for Large Scale Proteomics.

Accurate statistical evaluation of sequence database peptide identifications from tandem mass spectra is essential in mass spectrometry based proteomics experiments. These statistics are dependent on accurately modelling random identifications. The target-decoy approach has risen to become the de facto approach to calculating FDR in proteomic datasets. The main principle of this approach is to search a set of decoy protein sequences that emulate the size and composition of the target protein sequences searched whilst not matching real proteins in the sample. To do this, it is commonplace to reverse or shuffle the proteins and peptides in the target database. However, these approaches have their drawbacks and limitations. A key confounding issue is the peptide redundancy between target and decoy databases leading to inaccurate FDR estimation. This inaccuracy is further amplified at the protein level and when searching large sequence databases such as those used for proteogenomics. Here, we present a unifying hybrid method to quickly and efficiently generate decoy sequences with minimal overlap between target and decoy peptides. We show that applying a reversed decoy approach can produce up to 5% peptide redundancy and many more additional peptides will have the exact same precursor mass as a target peptide. Our hybrid method addresses both these issues by first switching proteolytic cleavage sites with preceding amino acid, reversing the database and then shuffling any redundant sequences. This flexible hybrid method reduces the peptide overlap between target and decoy peptides to about 1% of peptides, making a more robust decoy model suitable for large search spaces. We also demonstrate the anti-conservative effect of redundant peptides on the calculation of q-values in mouse brain tissue data.

Molecular Determinants for Protein Stabilization by Insertional Fusion to a Thermophilic Host Protein.

A universal method that improves protein stability and evolution has thus far eluded discovery. Recently, however, studies have shown that insertional fusion to a protein chaperone stabilized various target proteins with minimal negative effects. The improved stability was derived from insertion into a hyperthermophilic protein, Pyrococcus furiosus maltodextrin-binding protein (PfMBP), rather than from changes to the target protein sequence. In this report, by evaluating the thermodynamic and kinetic stability of various inserted β-lactamase (BLA) homologues, we were able to examine the molecular determinants of stability realized by insertional fusion to PfMBP. Results indicated that enhanced stability and suppressed aggregation of BLA stemmed from enthalpic and entropic mechanisms. This report also suggests that insertional fusion to a stable protein scaffold has the potential to be a useful method for improving protein stability, as well as functional protein evolution.

PDZ Structure and Implication in Selective Drug Design against Cystic Fibrosis.

PDZ domains play an essential role in a number of cellular processes by facilitating protein scaffolding and assembly of protein complexes. These domains consist of 80 to 90 amino acids and are found to recognize short C-terminal sequences of target proteins. Protein complex formation between PDZ target molecules can lead to a number of signaling and regulatory cascades that may either promote or inhibit the activation of certain proteins. It has been shown that the interaction of the PDZ domains of NHERF2 with LPA2 plays an inhibitory role on the cystic fibrosis transmembrane conductance regulator (CFTR) by promoting the assembly of a CFTR-NHERF2-LPA2 complex. CFTR regulates chloride ion transport across the epithelial plasma membrane, and individuals possessing CFTR mutations show decreased protein function and consequently, viscous mucus accumulation due to improper fluid transport. This type of ailment is termed cystic fibrosis. Thus, insight to the structure of PDZ domains and how they function to form macromolecular complexes could be therapeutically important in augmenting CFTR channel activity in cystic fibrosis patients. Here we review the PDZ domain family while dissecting their structure, function and implications in CFTR regulation and cystic fibrosis.

Sequence-Based Predictive Models of Resistance to HIV-1 Integrase Inhibitors: An n-Grams Approach to Phenotype Assessment.

Amino acid substitutions in HIV-1 proteins critical to the viral replication cycle have the potential to undermine successful inhibition of those targets, with some mutations leading to either reduced susceptibility to certain medications or complete drug resistance. Phenotypic tests are best suited to quantify the effects of complex mutational patterns on drug resistance; however, the relatively high cost and long turnaround time associated with phenotyping has increased the demand for in silico drug-specific models capable of accurately predicting phenotype directly from the target protein sequences. The focus of this study is on the HIV-1 integrase (IN) enzyme, which mediates integration of reversibly transcribed viral DNA into the host cell genome, and the development of predictive statistical learning models of resistance to the IN inhibitors Raltegravir (RAL) and Elvitegravir (EVG). Models were trained using datasets of IN protein sequence variants each having a known phenotype, quantified as the fold change in susceptibility to the respective inhibitor, and obtained using an experimental assay. A sequence-based approach employing n-grams relative frequencies was implemented to uniquely characterize each IN variant as a feature vector of input attributes. Models for classifying IN variants as susceptible or resistant reach cross-validation balanced accuracy rates of 89% with RAL and 85% with EVG. Additionally, regression models achieve Pearson's correlation coefficients, between experimental and predicted log-transformed phenotypic fold change values, as high as r = 0.80 with RAL and r = 0.76 with EVG. Our results suggest that as additional training data are made publicly available, the models may hold promise as supplementary tools for making treatment decisions.

Modularity of Protein Folds as a Tool for Template-Free Modeling of Structures.

Predicting the three-dimensional structure of proteins from their amino acid sequences remains a challenging problem in molecular biology. While the current structural coverage of proteins is almost exclusively provided by template-based techniques, the modeling of the rest of the protein sequences increasingly require template-free methods. However, template-free modeling methods are much less reliable and are usually applicable for smaller proteins, leaving much space for improvement. We present here a novel computational method that uses a library of supersecondary structure fragments, known as Smotifs, to model protein structures. The library of Smotifs has saturated over time, providing a theoretical foundation for efficient modeling. The method relies on weak sequence signals from remotely related protein structures to create a library of Smotif fragments specific to the target protein sequence. This Smotif library is exploited in a fragment assembly protocol to sample decoys, which are assessed by a composite scoring function. Since the Smotif fragments are larger in size compared to the ones used in other fragment-based methods, the proposed modeling algorithm, SmotifTF, can employ an exhaustive sampling during decoy assembly. SmotifTF successfully predicts the overall fold of the target proteins in about 50% of the test cases and performs competitively when compared to other state of the art prediction methods, especially when sequence signal to remote homologs is diminishing. Smotif-based modeling is complementary to current prediction methods and provides a promising direction in addressing the structure prediction problem, especially when targeting larger proteins for modeling.

PUG-SOAP and PUG-REST: web services for programmatic access to chemical information in PubChem.

PubChem (http://pubchem.ncbi.nlm.nih.gov) is a public repository for information on chemical substances and their biological activities, developed and maintained by the US National Institutes of Health (NIH). PubChem contains more than 180 million depositor-provided chemical substance descriptions, 60 million unique chemical structures and 225 million bioactivity assay results, covering more than 9000 unique protein target sequences. As an information resource for the chemical biology research community, it routinely receives more than 1 million requests per day from an estimated more than 1 million unique users per month. Programmatic access to this vast amount of data is provided by several different systems, including the US National Center for Biotechnology Information (NCBI)'s Entrez Utilities (E-Utilities or E-Utils) and the PubChem Power User Gateway (PUG)—a common gateway interface (CGI) that exchanges data through eXtended Markup Language (XML). Further simplifying programmatic access, PubChem provides two additional general purpose web services: PUG-SOAP, which uses the simple object access protocol (SOAP) and PUG-REST, which is a Representational State Transfer (REST)-style interface. These interfaces can be harnessed in combination to access the data contained in PubChem, which is integrated with the more than thirty databases available within the NCBI Entrez system.

RBO Aleph: leveraging novel information sources for protein structure prediction.

RBO Aleph is a novel protein structure prediction web server for template-based modeling, protein contact prediction and ab initio structure prediction. The server has a strong emphasis on modeling difficult protein targets for which templates cannot be detected. RBO Aleph's unique features are (i) the use of combined evolutionary and physicochemical information to perform residue–residue contact prediction and (ii) leveraging this contact information effectively in conformational space search. RBO Aleph emerged as one of the leading approaches to ab initio protein structure prediction and contact prediction during the most recent Critical Assessment of Protein Structure Prediction experiment (CASP11, 2014). In addition to RBO Aleph's main focus on ab initio modeling, the server also provides state-of-the-art template-based modeling services. Based on template availability, RBO Aleph switches automatically between template-based modeling and ab initio prediction based on the target protein sequence, facilitating use especially for non-expert users. The RBO Aleph web server offers a range of tools for visualization and data analysis, such as the visualization of predicted models, predicted contacts and the estimated prediction error along the model's backbone. The server is accessible at http://compbio.robotics.tu-berlin.de/rbo_aleph/.

Superfamily of G-protein coupled receptors (GPCRs)--extraordinary and outstanding success of evolution.

The G protein-coupled receptors (GPCRs) are considered as very diverse and also surprisingly successful structures during the whole evolutionary process, being capable of transducing the different forms of "information" within the cell and also between cells, such as different peptides, lipids, proteins, nucleotides, nucleosides, organic odorants and photons. Complex studies as well as two-dimensional crystallization of rhodopsin, their paradigm, led to the creation of a useful model having a common central core, consisting of seven transmembrane helical domains, which undergoes appropriate structural modification during activation and signal transduction. After the complete delineation of the human genome, which is the apogee of human scientific civilization and culture, it was possible to identify more than 800 human GPCR sequences and in parallel analyze 342 unique functional nonolfactory human GPCR sequences with phylogenetic analyses. These results support, with high bootstrap values, the existence of five main families, named by the authors glutamate, rhodopsin, adhesion, frizzle/taste2, and secretin, forming the GRAFS classification system. Positions of the GPCRs in chromosomal paralogous regions indicate the importance of tetraploidizations or local gene duplication events during their creation. Some families of GPCRs show, however, very little or no similarity in the sequence of amino acid chains. They utilize an enormous number of different domains to bind ligands and to activate the appropriate G-proteins. The delicate tuning of their coupling to G proteins is further regulated by splicing, RNA editing and phosphorylation. A number of GPCRs may also form homodimers or heterodimers with structurally different GPCRs and also with membrane-bound proteins having one transmembrane domain. It should also be stressed that not all GPCRs are strictly faithful to G proteins because growing evidence indicates that they can interact directly, via their C-terminal domain, with proteins containing PDZ domains, which are present in the PDZ proteins. These proteins organize the NMDA receptors and some K+ channels while their PDZ domains generally bind 3-4 amino-acid stretches of C-terminal sequences of target proteins. The -S/TXV motif was found in some PDZ target proteins. GPCRs can also interact with the Enabled/VASP homology (EVH)-like domain which interacts directly with group 1 mGluR receptors. Every year brings new very important data in research of these proteins, which should be called "the most successful structures evolved during the whole of animal evolution".

Abstract 2815: Induction of both OVA specific CD4+ and CD8+ T cells by using PepTivator® OVA-pulsed DCs in mouse model

Abstract Antigen specific immune response by both MHC class I-restricted CD8+ T cells and MHC class II-restricted CD4+ T cells is a key event in cancer immunotherapy. In DC vaccine therapy, the short epitope peptides (9 or 10-mer) are mainly used to load, but these short peptides are presented on MHC class I molecule and can stimulate only CD8+ T cells. Using whole protein as antigen might be better to induce both antigen specific CD8+ and CD4+ T cells. The PepTivator® is a peptide pool: consisting mainly of 15-mer sequences with 11 amino acids overlap and covering the complete sequence of target protein. In this study, we used PepTivator® derived from ovalbumin protein (PepTivator® OVA) instead of whole protein as antigen, and evaluated the inducing activity of antigen specific CD8+ and CD4+ T cell responses in mouse model. In order to examine the antigen presenting ability of PepTivator® OVA-pulsed DCs, CD8+ T cells (106 cells/mL) isolated from OT-I transgenic mouse (OT-I CD8T) or CD4+ T cells (106 cells/mL) isolated from OT-II transgenic mouse (OT-II CD4T) were cultured with PepTivator® OVA-pulsed DCs (5×104 cells/mL) for 4 days. As positive control, OT-I epitope peptide (OVA257-264aa) and OT-II epitope peptide (OVA323-339aa) were used. DCs were prepared from bone marrow cells of C57BL/6 mice after cultivation with medium containing GM-CSF, IL-4 and LPS for 10 days. In preparation of peptide-pulsed DCs, DCs were treated with each peptide at 2 µg/mL for 4 hours and washed with medium to deplete free peptide before use. During the cultivation of OT-I CD8T or OT-II CD4T cells with each peptide-pulsed DCs, the responsive T cell proliferation was measured daily by flow cytometric analysis with absolute count beads and CFSE dye dilution. In addition, cytokines (IL-2 and IFN-gamma) in culture supernatant were measured by ELISA. As a result, the proliferation of OT-I CD8T cells cocultured with PepTivator® OVA-pulsed DCs seemed to be similar to that in coculture with OT-I epitope peptide-pulsed DCs. In the case of proliferation assay using OT-II CD4T cells, PepTivator® OVA-pulsed DCs showed similar T cell expansion in comparison with OT-II epitope peptide-pulsed DCs. As for cytokines secretion, no difference was observed in concentration of IL-2 and IFN-gamma in both cases using OT-I CD8T and OT-II CD4T cells when PepTivator® OVA was compared with OT-I or OT-II epitope peptide, respectively. These results showed that PepTivator® OVA pulsed-DCs could induce both antigen specific CD8+ and CD4+ T cell responses in mouse model. It suggests that PepTivator® OVA is at least superior to short epitope peptide in inducing antigen specific T cell response. In addition, it might be big advantage that PepTivator® derived from tumor antigen could be useful in many candidate patients without their HLA restriction. It is expected that therapeutic benefit of PepTivator® pulsed-DCs will be shown in clinical. Citation Format: Kenji Miki, Koji Nagaoka, Hermann Bohnenkamp, Takayuki Yoshimoto, Takashi Kamigaki, Ryuji Maekawa. Induction of both OVA specific CD4+ and CD8+ T cells by using PepTivator® OVA-pulsed DCs in mouse model. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 2815. doi:10.1158/1538-7445.AM2014-2815

New glycoproteomics software, GlycoPep Evaluator, generates decoy glycopeptides de novo and enables accurate false discovery rate analysis for small data sets.

Glycoproteins are biologically significant large molecules that participate in numerous cellular activities. In order to obtain site-specific protein glycosylation information, intact glycopeptides, with the glycan attached to the peptide sequence, are characterized by tandem mass spectrometry (MS/MS) methods such as collision-induced dissociation (CID) and electron transfer dissociation (ETD). While several emerging automated tools are developed, no consensus is present in the field about the best way to determine the reliability of the tools and/or provide the false discovery rate (FDR). A common approach to calculate FDRs for glycopeptide analysis, adopted from the target-decoy strategy in proteomics, employs a decoy database that is created based on the target protein sequence database. Nonetheless, this approach is not optimal in measuring the confidence of N-linked glycopeptide matches, because the glycopeptide data set is considerably smaller compared to that of peptides, and the requirement of a consensus sequence for N-glycosylation further limits the number of possible decoy glycopeptides tested in a database search. To address the need to accurately determine FDRs for automated glycopeptide assignments, we developed GlycoPep Evaluator (GPE), a tool that helps to measure FDRs in identifying glycopeptides without using a decoy database. GPE generates decoy glycopeptides de novo for every target glycopeptide, in a 1:20 target-to-decoy ratio. The decoys, along with target glycopeptides, are scored against the ETD data, from which FDRs can be calculated accurately based on the number of decoy matches and the ratio of the number of targets to decoys, for small data sets. GPE is freely accessible for download and can work with any search engine that interprets ETD data of N-linked glycopeptides. The software is provided at https://desairegroup.ku.edu/research.

RaptorX server: a resource for template-based protein structure modeling.

Assigning functional properties to a newly discovered protein is a key challenge in modern biology. To this end, computational modeling of the three-dimensional atomic arrangement of the amino acid chain is often crucial in determining the role of the protein in biological processes. We present a community-wide web-based protocol, RaptorX server ( http://raptorx.uchicago.edu ), for automated protein secondary structure prediction, template-based tertiary structure modeling, and probabilistic alignment sampling.Given a target sequence, RaptorX server is able to detect even remotely related template sequences by means of a novel nonlinear context-specific alignment potential and probabilistic consistency algorithm. Using the protocol presented here it is thus possible to obtain high-quality structural models for many target protein sequences when only distantly related protein domains have experimentally solved structures. At present, RaptorX server can perform secondary and tertiary structure prediction of a 200 amino acid target sequence in approximately 30 min.

Seeds as a Production System for Molecular Pharming Applications: Status and Prospects

The production of recombinant proteins in seeds is achieved by driving transgene expression using promoters and protein targeting sequences derived from genes encoding abundant seed storage proteins. This approach is advantageous because high yields, stability and containment are conferred by the accumulation of recombinant proteins in specialized storage compartments such as protein bodies and protein storage vacuoles. Seeds are particularly suitable for the production of pharmaceutical proteins in developing country settings because they reduce the costs of production and distribution by avoiding the need for fermenter-based production capacity and a cold chain for storage and distribution, thus increasing access to critical medicines for the poor in rural areas. Seeds are also ideal for the production of oral vaccine antigens, because encapsulation within the seed provides protection that prolongs exposure to the gastric immune system and thus increases the potency of the immune response. In this review we discuss the current state of the art in seed-based molecular pharming and the future potential of production platforms based on seeds.

A Circularly Permuted Photoactive Yellow Protein as a Scaffold for Photoswitch Design

Upon blue light irradiation, photoactive yellow protein (PYP) undergoes a conformational change that involves large movements at the N-terminus of the protein. We reasoned that this conformational change might be used to control other protein or peptide sequences if these were introduced as linkers connecting the N- and C-termini of PYP in a circular permutant. For such a design strategy to succeed, the circularly permuted PYP (cPYP) would have to fold normally and undergo a photocycle similar to that of the wild-type protein. We created a test cPYP by connecting the N- and C-termini of wild-type PYP (wtPYP) with a GGSGGSGG linker polypeptide and introducing new N- and C-termini at G115 and S114, respectively. Biophysical analysis indicated that this cPYP adopts a dark-state conformation much like wtPYP and undergoes wtPYP-like photoisomerization driven by blue light. However, thermal recovery of dark-state cPYP is ∼10-fold faster than that of wtPYP, so that very bright light is required to significantly populate the light state. Targeted mutations at M121E (M100 in wtPYP numbering) were found to enhance the light sensitivity substantially by lengthening the lifetime of the light state to ∼10 min. Nuclear magnetic resonance (NMR), circular dichroism, and UV-vis analysis indicated that the M121E-cPYP mutant also adopts a dark-state structure like that of wtPYP, although protonated and deprotonated forms of the chromophore coexist, giving rise to a shoulder near 380 nm in the UV-vis absorption spectrum. Fluorine NMR studies with fluorotryptophan-labeled M121E-cPYP show that blue light drives large changes in conformational dynamics and leads to solvent exposure of Trp7 (Trp119 in wtPYP numbering), consistent with substantial rearrangement of the N-terminal cap structure. M121E-cPYP thus provides a scaffold that may allow a wider range of photoswitchable protein designs via replacement of the linker polypeptide with a target protein or peptide sequence.

Generation of selenoprotein with glutathione peroxidase activity by chemical modification of the single-chain variable fragment expressed in a single-protein production system and its antioxidant ability

Glutathione peroxidase (GPX) is one of the important members of the antioxidant enzyme family. It can catalyze the reduction of hydroperoxides with glutathione to protect cells against oxidative damage. Single-chain variable fragment (scFv) can be converted into seleniumcontaining single-chain variable fragment (Se-scFv) by chemical modification of the hydroxyl groups in scFv, thus Se-scFv possesses GPX activity and becomes a prodrug. To improve the expression of scFv and simplify its purification steps, Single-protein production (SPP) system was used to express scFv and chemical modification was used to synthesize Se-scFv. Therefore, we must construct a new scFv-WCD1-lessACA gene, which can express its mRNA not containing any ACA sequences and express its amino acid sequence of target protein (scFv) being same to scFv-WCD1. In this way, the scFv-WCD1-lessACA can be only expressed in SPP system and no other background proteins in the cells could be expressed. The expression results showed that high level of scFv-WCD1-lessACA synthesis was at least sustained for 96 h in the virtual absence of background protein synthesis. Then, selenocysteine (Sec) was incorporated into the scFv-WCD1-lessACA by chemical modification and resulted in Se-scFv-WCD1-lessACA. The enzymatic characteristics of Se-scFv-WCD1-lessACA were determined. GPX activity was 2,563 U/μmol, its binding constant for GSH was 0.687 ×105/mol. Moreover, Se-scFv-WCD1-lessACA was confirmed to have a strong antioxidant ability to protect mitochondria against oxidative damage induced by Vc/Fe2+ (mitochondrial damage model), suggesting that Se-scFv-WCD1-lessACA has potential application for protection of mitochondrial damage induced by reactive oxygen species (ROS).

ADH4 intronic variations are associated with alcohol dependence

This study investigated the involvement of ADH4 gene polymorphisms in the susceptibility to alcohol use disorders. Thirty-eight single-nucleotide polymorphisms (SNPs) in and around the ADH4 gene were investigated in 136 Italian alcoholics and 276 healthy controls. A new approach based on a bioinformatic method selected 26 SNPs that may affect the splicing sites, destroying or creating binding sites of splicing regulatory proteins. Case-control comparisons for allele and genotype frequencies showed that ADH4 SNPs were associated with alcohol dependence but not with alcohol abuse. The association signal was strongest for rs1009145, rs13148577 (both P=0.0008) and rs7689753 (P=0.0007), whose minor alleles were predicted to alter the target protein sequences involved in mRNA splicing. A pairwise linkage disequilibrium analysis showed that all SNPs except five were located in a single haplotype block. Six haplotype tag SNPs were selected to infer haplotypes and to estimate their frequency distributions. A logistic regression analysis confirmed the association between ADH4 variants and alcohol dependence when sex, age, years of education, marital status and the allele genotype, haplotype and diplotype data of the six haplotype tag SNP were considered. Haplotype ATAAAT, which contained the minor allele of rs10009145 and the major allele of rs7689753, increased the risk of alcohol dependence, whereas haplotype GGGGAT, bearing the major allele of rs10009145 and the minor allele of rs7689753, protected against it. Again, there was no evidence of an association with alcohol abuse. These data suggest that ADH4 intronic variants play a role in alcohol dependence susceptibility in Italian populations. Functional studies are needed to establish the role of the genetic variations that seem to affect the splicing mechanism.