Function Of Specific Proteins Research Articles

Molecular insights on PS-PLA1 lipase activity of human ABHD16B

The human alpha beta hydrolase domain (ABHD) proteins are ubiquitous and regulate the cellular lipids' anabolic and catabolic processes. The structural aspects for specific biochemical function of many ABHD proteins related to physiological disorders and its link to pathological conditions remain unknown. Here putative human ABHD16B protein was overexpressed in Saccharomyces cerevisiae for its biological activity. In-vitro enzymatic assay of the recombinant ABHD16B protein with fluorescently tagged glycerophospholipids revealed that the PLA1 activity is observed with phosphatidylserine (PS). In addition, it efficiently hydrolyzed monoacylglycerol over triacylglycerols. Further, molecular dynamic simulations and per residue binding free energy decomposition analysis revealed that the origin of PS-specific PLA1 activity of ABHD16B is due to the electrostatic interaction of the PS head group with K8, R319, and E178, which led to having the hydrogen bond interaction of sn-1 acyl chain ester to the catalytic site residues. Site-directed mutagenesis of the 245GXSXG249 motif of ABHD16B reduced the maximal lipase activity of PS and MAG. In summary, these results revealed that ABHD16B plays a vital role in PS selectivity that in turn, controls the specific subcellular pools of 2-LPS metabolism in the tissues at low pH.

Investigating the role of computer simulations in modeling complex biological systems

The use of computer simulations in modeling complex biological systems has become an important tool for biotechnology research. This study investigates the role of computer simulations in modeling complex biological systems and their potential applications in biotechnology. The focus of the study was on protein folding, a complex biological process that plays a critical role in the structure and function of proteins. The simulation was carried out using molecular dynamics techniques that allowed the simulation of the movement of the protein molecules over time. The simulation results were compared to experimental data and showed a good agreement with the actual protein structure. Furthermore, the simulation provided insights into the dynamics of the protein folding process, such as the folding pathway and the stability of the intermediate states. These insights can be used to design new drugs and therapies that target specific protein structures and functions. The study concludes that computer simulations are a valuable tool in biotechnology research and have the potential to revolutionize the field by providing accurate and detailed information about complex biological systems. Future research could investigate the use of advanced computer simulations and machine learning algorithms in biotechnology applications to improve their accuracy and efficiency.

Structure, Substrate Specificity and Role of Lon Protease in Bacterial Pathogenesis and Survival

Proteases are the group of enzymes that carry out proteolysis in all forms of life and play an essential role in cell survival. By acting on specific functional proteins, proteases affect the transcriptional and post-translational pathways in a cell. Lon, FtsH, HslVU and the Clp family are among the ATP-dependent proteases responsible for intracellular proteolysis in bacteria. In bacteria, Lon protease acts as a global regulator, governs an array of important functions such as DNA replication and repair, virulence factors, stress response and biofilm formation, among others. Moreover, Lon is involved in the regulation of bacterial metabolism and toxin-antitoxin systems. Hence, understanding the contribution and mechanisms of Lon as a global regulator in bacterial pathogenesis is crucial. In this review, we discuss the structure and substrate specificity of the bacterial Lon protease, as well as its ability to regulate bacterial pathogenesis.

De novo design of β-barrel nanopore with Gly-kink towards single-molecule detection.

Nanopore sensing is a rapid and label-free method for single-molecule detection of DNA, peptides, and protein. However, it remains challenging to adjust the size and geometry of nanopores for each target molecule using biological nanopores. Therefore, constructing size and geometry controllable nanopore is highly demanded. Recently, de novo design has enabled the creation of specific structures and functions of proteins. We have previously designed a de novo β-hairpin peptide named SV28, which is assembled to form a multidisperse-sized β-barrel nanopore in a bilayer lipid membrane (BLM). A monodisperse-size nanopore is required for the highly sensitive detection of a specific target. Toward constructing a monodisperse-sized nanopore, we focused on Gly-kink. In the computational protein design, introducing the Gly-kink in a β-barrel structure makes the packing of the β-strands relaxed and the β-barrel structure to be more rigid. Then, we redesigned SVG28 with the introduction of Gly-kink into SV28. To evaluate the pore-forming ability of SVG28, we conducted channel current measurement with BLM in microdevices and signal classification analysis. As result, the SVG28 nanopore converged relatively monodisperse size (SVG28: φ = 1.7 nm, SV28: φ = 1.7-6.3 nm). Moreover, we carried out molecular dynamics simulations of peptide nanopores, indicating the stabilization of the β-barrel structure by introducing the Gly-kink. For future nanopore amino acid sequencing, we applied SVG28 nanopore to polypeptide detection. The SVG28 nanopore could detect and discriminate molecular weight difference of poly-l-lysine (PLL: φ = 1.1-1.4 nm). Furthermore, the SVG28 nanopore could identify the single amino acid in the oligo-arginine with several different types of single amino acids (R7X: φ = 1.0-1.5 nm). The above achievements are due to size and geometry matching between the SVG28 nanopore and the targets. Now, we are redesigning SVG28 to construct nanopores that have specific large pore sizes for protein detection.

Current Trends and Changes in Use of Membrane Molecular Dynamics Simulations within Academia and the Pharmaceutical Industry

There has been an almost exponential increase in the use of molecular dynamics simulations in basic research and industry over the last 5 years, with almost a doubling in the number of publications each year. Many of these are focused on neurological membranes, and biological membranes in general, applied to the medical industry. A smaller portion have utilized membrane simulations to answer more basic questions related to the function of specific proteins, chemicals or biological processes. This review covers some newer studies, alongside studies from the last two decades, to determine changes in the field. Some of these are basic, while others are more profound, such as multi-component embedded membrane machinery. It is clear that many facets of the discipline remain the same, while the focus on and uses of the technology are broadening in scope and utilization as a general research tool. Analysis of recent literature provides an overview of the current methodologies, covers some of the recent trends or advances and tries to make predictions of the overall path membrane molecular dynamics will follow in the coming years. In general, the overview presented is geared towards the general scientific community, who may wish to introduce the use of these methodologies in light of these changes, making molecular dynamic simulations more feasible for general scientific or medical research.

Role of Moonlighting Proteins in Disease: Analyzing the Contribution of Canonical and Moonlighting Functions in Disease Progression.

The term moonlighting proteins refers to those proteins that present alternative functions performed by a single polypeptide chain acquired throughout evolution (called canonical and moonlighting, respectively). Over 78% of moonlighting proteins are involved in human diseases, 48% are targeted by current drugs, and over 25% of them are involved in the virulence of pathogenic microorganisms. These facts encouraged us to study the link between the functions of moonlighting proteins and disease. We found a large number of moonlighting functions activated by pathological conditions that are highly involved in disease development and progression. The factors that activate some moonlighting functions take place only in pathological conditions, such as specific cellular translocations or changes in protein structure. Some moonlighting functions are involved in disease promotion while others are involved in curbing it. The disease-impairing moonlighting functions attempt to restore the homeostasis, or to reduce the damage linked to the imbalance caused by the disease. The disease-promoting moonlighting functions primarily involve the immune system, mesenchyme cross-talk, or excessive tissue proliferation. We often find moonlighting functions linked to the canonical function in a pathological context. Moonlighting functions are especially coordinated in inflammation and cancer. Wound healing and epithelial to mesenchymal transition are very representative. They involve multiple moonlighting proteins with a different role in each phase of the process, contributing to the current-phase phenotype or promoting a phase switch, mitigating the damage or intensifying the remodeling. All of this implies a new level of complexity in the study of pathology genesis, progression, and treatment. The specific protein function involved in a patient's progress or that is affected by a drug must be elucidated for the correct treatment of diseases.

Semi-Supervised Non-Parametric Bayesian Modelling of Spatial Proteomics.

Understanding sub-cellular protein localisation is an essential component in the analysis of context specific protein function. Recent advances in quantitative mass-spectrometry (MS) have led to high resolution mapping of thousands of proteins to sub-cellular locations within the cell. Novel modelling considerations to capture the complex nature of these data are thus necessary. We approach analysis of spatial proteomics data in a non-parametric Bayesian framework, using K-component mixtures of Gaussian process regression models. The Gaussian process regression model accounts for correlation structure within a sub-cellular niche, with each mixture component capturing the distinct correlation structure observed within each niche. The availability of marker proteins (i.e. proteins with a priori known labelled locations) motivates a semi-supervised learning approach to inform the Gaussian process hyperparameters. We moreover provide an efficient Hamiltonian-within-Gibbs sampler for our model. Furthermore, we reduce the computational burden associated with inversion of covariance matrices by exploiting the structure in the covariance matrix. A tensor decomposition of our covariance matrices allows extended Trench and Durbin algorithms to be applied to reduce the computational complexity of inversion and hence accelerate computation. We provide detailed case-studies on Drosophila embryos and mouse pluripotent embryonic stem cells to illustrate the benefit of semi-supervised functional Bayesian modelling of the data.

IDENTIFYING MOLECULAR FUNCTIONS OF DYNEIN MOTOR PROTEINS USING EXTREME GRADIENT BOOSTING ALGORITHM WITH MACHINE LEARNING

The majority of cytoplasmic proteins and vesicles move actively primarily to dynein motor proteins, which are the cause of muscle contraction. Moreover, identifying how dynein are used in cells will rely on structural knowledge. Cytoskeletal motor proteins have different molecular roles and structures, and they belong to three superfamilies of dynamin, actin and myosin. Loss of function of specific molecular motor proteins can be attributed to a number of human diseases, such as Charcot-Charcot-Dystrophy and kidney disease. It is crucial to create a precise model to identify dynein motor proteins in order to aid scientists in understanding their molecular role and designing therapeutic targets based on their influence on human disease. Therefore, we develop an accurate and efficient computational methodology is highly desired, especially when using cutting-edge machine learning methods. In this article, we proposed a machine learning-based superfamily of cytoskeletal motor protein locations prediction method called extreme gradient boosting (XGBoost). We get the initial feature set All by extraction the protein features from the sequence and evolutionary data of the amino acid residues named BLOUSM62. Through our successful eXtreme gradient boosting (XGBoost), accuracy score 0.8676%, Precision score 0.8768%, Sensitivity score 0.760%, Specificity score 0.9752% and MCC score 0.7536%. Our method has demonstrated substantial improvements in the performance of many of the evaluation parameters compared to other state-of-the-art methods. This study offers an effective model for the classification of dynein proteins and lays a foundation for further research to improve the efficiency of protein functional classification.

The Tricalbin-Family Endoplasmic Reticulum-Plasma Membrane Tethering Proteins Attenuate ROS-Involved Caspofungin Sensitivity in Candida albicans.

The endoplasmic reticulum-plasma membrane (ER-PM) contacts are one kind of important membrane contact structures in eukaryotic cells, which mediate material and message exchange between the ER and the PM. However, the specific types and functions of ER-PM tethering proteins are poorly understood in the human fungal pathogen Candida albicans. In this study, we observed that the two tricalbin-family proteins, i.e., Tcb1 and Tcb3, were colocalized with the ER-PM contacts in C. albicans. Deletion of the tricalbin-encoding genes TCB1 and TCB3 remarkably reduced ER-PM contacts, suggesting that tricalbins are ER-PM tethering proteins of C. albicans. Stress sensitivity assays showed that the TCB-deleted strains, including tcb1Δ/Δ, tcb3Δ/Δ, and tcb1Δ/Δ tcb3Δ/Δ, exhibited hypersensitivity to cell wall stress induced by caspofungin. Further investigation revealed that caspofungin induced drastic reactive oxygen species (ROS) accumulation in the mutants, which was attributed to enhanced oxidation of Ero1 in the ER lumen. Removal of intracellular ROS by the ROS scavenger vitamin C rescued the growth of the mutants under caspofungin treatment, indicating that Ero1 oxidation-related ROS accumulation was involved in caspofungin hypersensitivity of the mutants. Moreover, deletion of the TCB genes decreased secretion of extracellular aspartyl proteinases, reduced transport of the cell wall protein Hwp1 from the cytoplasm to the cell wall, and attenuated virulence of the fungal pathogen. This study sheds a light on the role of ER-PM tethering proteins in maintenance of cell wall integrity and virulence in fungal pathogens. IMPORTANCE The endoplasmic reticulum-plasma membrane contacts are important membrane contact structures in eukaryotic cells, functioning in material and message exchange between the ER and the PM. We observed that the two tricalbin-family endoplasmic reticulum-plasma membrane contact proteins are required for tolerance to caspofungin-induced cell wall stress in the pathogenic fungus Candida albicans. The tricalbin mutants exhibited hypersensitivity to cell wall stress induced by caspofungin. Further investigation revealed that Ero1 oxidation-related reactive species oxygen accumulation was involved in caspofungin hypersensitivity of the tricalbin mutants. Moreover, loss of tricalbins reduced secretion of extracellular aspartyl proteinases, decreased transport of the cell wall proteins from the cytoplasm to the cell wall, and attenuated virulence of the fungal pathogen. This study uncovers the role of ER-PM tethering proteins in sustaining protein secretion, maintenance of cell wall integrity and virulence in fungal pathogens.

Cloning Strategy for HDAC1/HDAC2 Hybrid Protein Expression in Mammalian Cells.

Dynamic deacetylation of non-histone proteins by histone deacetylases (HDACs) is a key regulator of protein functions, interactions, and turnover. Among class I HDACs, human HDAC1 and HDAC2 share more than 80% global homology at the amino acid level. However, despite the high redundancy, there are examples for differential substrate specificities of HDAC1 and HDAC2. Until now it remains quite unclear how specific and overlapping functions of HDAC1/HDAC2 are regulated in different contexts. Here, we describe molecular cloning techniques for the generation of HDAC1/HDAC2 hybrid proteins, HDAC1/HDAC2 mutants lacking known interaction domains, and HDAC1/HDAC2 hybrid proteins with interchanged N-terminal domains. These proteins are tools for the analysis of specific protein interactions and functions in mammalian cells.

Phylogenetic analysis and structural prediction reveal the potential functional diversity between green algae SWEET transporters.

Sugar-Will-Eventually-be-Exported-Transporters (SWEETs) are an important family of sugar transporters that appear to be ubiquitous in all organisms. Recent research has determined the structure of SWEETs in higher plants, identified specific residues required for monosaccharide or disaccharide transport, and begun to understand the specific functions of individual plant SWEET proteins. However, in green algae (Chlorophyta) these transporters are poorly characterised. This study identified SWEET proteins from across representative Chlorophyta with the aim to characterise their phylogenetic relationships and perform protein structure modelling in order to inform functional prediction. The algal genomes analysed encoded between one and six SWEET proteins, which is much less than a typical higher plant. Phylogenetic analysis identified distinct clusters of over 70 SWEET protein sequences, taken from almost 30 algal genomes. These clusters remain separate from representative higher or non-vascular plant SWEETs, but are close to fungi SWEETs. Subcellular localisation predictions and analysis of conserved amino acid residues revealed variation between SWEET proteins of different clusters, suggesting different functionality. These findings also showed conservation of key residues at the substrate-binding site, indicating a similar mechanism of substrate selectivity and transport to previously characterised higher plant monosaccharide-transporting SWEET proteins. Future work is now required to confirm the predicted sugar transport specificity and determine the functional role of these algal SWEET proteins.

A Review on the New Indication of Nucleoside Reverse Transcriptase Inhibitors (NRTIs) in the Treatment of Coronavirus Disease 2019.

In December 2019, a new coronavirus (nCoV) emerged as a public health concern spreading all around the world. Several attempts have been made to discover effective drugs and vaccines. Up to now, multiple COVID-19 vaccines have been developed against this mysterious virus, and a lot of individuals have already got vaccinated. Anti-viral drugs are effective in treating and managing COVID-19. Nucleoside reverse transcriptase inhibitors (NRTIs) are a collection of antiviral drugs for treating HIV and HBV infections. These drugs prevent virus replication by blocking reverse transcriptase (RT). In this review, we discuss the interaction of this class of anti- HIV drugs with specific functional proteins and enzymes of SARSCoV- 2. A search of the databases, including Web of Science, Embase, PubMed, Scopus, and Google Scholar, was conducted from commencement to September 2020. The relevant articles on the potential effects of NRTIs on COVID-19 were collected. Finally, twenty-three articles were selected, including all in vitro, in vivo, and clinical studies. It was observed that RdRp, spike, ACE2, PNP, inflammatory cytokines, and nucleocapsid protein participate in the pathogenesis of SARS-CoV-2. NRTIs target these proteins by binding to them. This review is focused on the mechanisms of NRTIs to introduce them as potential therapies for COVID-19. However, further in vitro and in vivo investigations will provide helpful information for the identification of drug candidates as a part of COVID-19 management.

Highly Overexpressed AtC3H18 Impairs Microgametogenesis via Promoting the Continuous Assembly of mRNP Granules.

Plant CCCH zinc-finger proteins form a large family of regulatory proteins function in many aspects of plant growth, development and environmental responses. Despite increasing reports indicate that many CCCH zinc-finger proteins exhibit similar subcellular localization of being localized in cytoplasmic foci, the underlying molecular mechanism and the connection between this specific localization pattern and protein functions remain largely elusive. Here, we identified another cytoplasmic foci-localized CCCH zinc-finger protein, AtC3H18, in Arabidopsis thaliana. AtC3H18 is predominantly expressed in developing pollen during microgametogenesis. Although atc3h18 mutants did not show any abnormal phenotype, possibly due to redundant gene(s), aberrant AtC3H18 expression levels caused by overexpression resulted in the assembly of AtC3H18-positive granules in a dose-dependent manner, which in turn led to male sterility phenotype, highlighting the importance of fine-tuned AtC3H18 expression. Further analyzes demonstrated that AtC3H18-positive granules are messenger ribonucleoprotein (mRNP) granules, since they can exhibit liquid-like physical properties, and are associated with another two mRNP granules known as processing bodies (PBs) and stress granules (SGs), reservoirs of translationally inhibited mRNAs. Moreover, the assembly of AtC3H18-positive granules depends on mRNA availability. Combined with our previous findings on the AtC3H18 homologous genes in Brassica campestris, we concluded that appropriate expression level of AtC3H18 during microgametogenesis is essential for normal pollen development, and we also speculated that AtC3H18 may act as a key component of mRNP granules to modulate pollen mRNAs by regulating the assembly/disassembly of mRNP granules, thereby affecting pollen development.

The functional diversity of the POUV-class proteins across vertebrates.

POUV is a relatively newly emerged class of POU transcription factors present in jawed vertebrates (Gnathostomata). The function of POUV-class proteins is inextricably linked to zygotic genome activation (ZGA). A large body of evidence now extends the role of these proteins to subsequent developmental stages. While some functions resemble those of other POU-class proteins and are related to neuroectoderm development, others have emerged de novo. The most notable of the latter functions is pluripotency control by Oct4 in mammals. In this review, we focus on these de novo functions in the best-studied species harbouring POUV proteins-zebrafish, Xenopus (anamniotes) and mammals (amniotes). Despite the broad diversity of their biological functions in vertebrates, POUV proteins exert a common feature related to their role in safeguarding the undifferentiated state of cells. Here we summarize numerous pieces of evidence for these specific functions of the POUV-class proteins and recap available loss-of-function data.

In Depth Exploration of the Alternative Proteome of Drosophila melanogaster.

Recent studies have shown that hundreds of small proteins were occulted when protein-coding genes were annotated. These proteins, called alternative proteins, have failed to be annotated notably due to the short length of their open reading frame (less than 100 codons) or the enforced rule establishing that messenger RNAs (mRNAs) are monocistronic. Several alternative proteins were shown to be biologically active molecules and seem to be involved in a wide range of biological functions. However, genome-wide exploration of the alternative proteome is still limited to a few species. In the present article, we describe a deep peptidomics workflow which enabled the identification of 401 alternative proteins in Drosophila melanogaster. Subcellular localization, protein domains, and short linear motifs were predicted for 235 of the alternative proteins identified and point toward specific functions of these small proteins. Several alternative proteins had approximated abundances higher than their canonical counterparts, suggesting that these alternative proteins are actually the main products of their corresponding genes. Finally, we observed 14 alternative proteins with developmentally regulated expression patterns and 10 induced upon the heat-shock treatment of embryos, demonstrating stage or stress-specific production of alternative proteins.

A pathological role of the Hsp40 protein Ydj1/DnaJA1 in models of Alzheimer's disease.

Alzheimer's disease (AD) is the most common form of dementia with millions of people affected worldwide. Pathophysiological manifestations of AD include the extracellular accumulation of amyloid beta (Abeta) pep-tides, products of the proteolytic cleavage of the amy-loid precursor protein APP. Increasing evidence sug-gests that Abeta peptides also accumulate intracellular-ly, triggering neurotoxic events such as mitochondrial dysfunction. However, the molecular factors driving formation and toxicity of intracellular Abeta are poorly understood. In our recent study [EMBO Mol Med 2022 - e13952], we used different eukaryotic model systems to identify such factors. Based on a genetic screen in yeast and subsequent molecular analyses, we found that both the yeast chaperone Ydj1 and its human ortholog DnaJA1 physically interact with Abeta, facili-tate the aggregation of Abeta peptides into small oli-gomers and promote their translocation to mitochon-dria. Deletion or downregulation of this chaperone pro-tected from Abeta-mediated toxicity in yeast and Dro-sophila AD models, respectively. Most importantly, the identified chaperone is found to be dysregulated in post-mortem human samples of AD patients. Here, we aim to outline our key findings, highlighting pathological functions of a heat shock protein (Hsp) family member, which are generally considered protective rather than toxic during neurodegeneration. Our results thus chal-lenge the concept of developing generalized chaperone activation-based therapies and call for carefully consid-ering also maladaptive functions of specific heat shock proteins.

Detection and diversity of the mannosylerythritol lipid (MEL) gene cluster and lipase A and B genes of Moesziomyces antarcticus isolated from terrestrial sites chronically contaminated with crude oil in Trinidad

BackgroundMannosylerythritol lipids (MELs) belong to the class of glycolipid biosurfactants and are produced by members of the Ustilago and Moesziomyces genera. Production of MELs is regulated by a biosynthetic gene cluster (MEL BGC). Extracellular lipase activity is also associated with MEL production. Most microbial glycolipid-producers are isolated from oil-contaminated environments. MEL-producing yeast that are capable of metabolizing crude oil are understudied, and there is very limited data on indigenous strains from tropical climates. Analysis of the MEL BGC and lipase genes in Trinidad M. antarcticus strains, using a gene-targeted approach, revealed a correlation between their intrinsic capability to degrade crude oil and their adaptation to survive in a chronically polluted terrestrial environment.ResultsM. antarcticus was isolated from naturally-occurring crude oil seeps and an asphaltic mud volcano in Trinidad; these are habitats that have not been previously reported for this species. Genus identification was confirmed by the large-subunit (LSU) and the small-subunit (SSU) sequence comparisons and species identification was confirmed by ITS sequence comparisons and phylogenetic inference. The essential genes (Emt1, Mac1, Mac2, Mmf1) of the MEL BGC were detected with gene-specific primers. Emt1p, Mac1p and Mmf1p sequence analyses confirmed that the Trinidad strains harboured novel synonymous amino acid (aa) substitutions and structural comparisons revealed different regions of disorder, specifically for the Emt1p sequence. Functionality of each protein sequence was confirmed through motif mining and mutation prediction. Phylogenetic relatedness was inferred for Emt1p, Mac1p and Mmf1p sequences. The Trinidad strains clustered with other M. antarcticus sequences, however, the representative Trinidad M. antarcticus sequences consistently formed a separate, highly supported branch for each protein. Similar phylogenetic placement was indicated for LipA and LipB nucleotide and protein sequences. The Trinidad strains also demonstrated lipolytic activity in culture, with an ability to utilize different carbon sources. Comparative evolution of MEL BGC and LipA gene suggested early and late duplication events, depending on the gene, followed by a number of speciation events within Ustilaginaceae. M. antarcticus and M. aphidis were separated from all other members of Ustilaginaceae and two gene homologues were detected, one for each species.ConclusionsSequence analyses was based on a novel gene-targeted approach to analyze the essential genes of the MEL BGC and LipA and LipB genes of M. antarcticus strains from Trinidad. The findings indicated that these strains accumulated nucleotide mutations to a threshold level that did not affect the function of specific proteins encoded by the MEL BGC and LipA and LipB genes. The biosurfactant and lipase enzymes secreted by these Trinidad M. antarcticus strains facilitated their survival in oil-contaminated terrestrial environments. These findings suggest that the Trinidad strains should be explored as promising candidates for the commercial production of MEL biosurfactants and lipase enzymes.

Genome-wide identification and expression analysis of the VQ gene family in Cucurbita pepo L.

VQ protein is a plant specific protein, which plays an important role in plant growth and development and biological and abiotic stress response. This study aimed to systematically analyze for the first time the VQ of Cucurbita pepo and understand their expression patterns in response to different stimuli. Herein, 44 VQ genes were identified, which were divided into eight groups (I–VIII) based on phylogenetic analysis. Two genes (CpVQ1 and CpVQ2) could not be located on the chromosome, whereas the remaining CpVQ genes were randomly distributed on the chromosomes, except for chromosomes 15 and 18. Noteworthy, the main event driving the expansion of the VQ gene family was chromosome fragment duplication. Based on qRT-PCR analysis, VQ genes are expressed in different tissues, and VQ genes are differentially regulated under a variety of abiotic stresses and powdery mildew stress, indicating that they play an important role in plant stress response and other aspects. This report presents the first systematic analysis of VQ genes from C. pepo and provides a solid foundation for further research of the specific functions of VQ proteins.

Selection-free endogenous tagging of cell lines by bicistronic co-expression of the surface antigen NGFR

Endogenous protein tagging, in contrast to exogenous overexpression of tagged proteins, allows to characterize specific protein functions under defined physiological or pathophysiological conditions without the influence of non-physiological protein levels. The development of generic and homology-independent tagging strategies, exploiting the CRISPR/spCas9 gene editing system in combination with generic tag donor plasmids, allows targeted and precise gene modification in mammalian cells for almost any desirable gene.So far, fluorescent tags or antibiotic resistance cassettes coupled to the endogenous fusion protein expression have been applied to isolate correctly modified clones. However, both can be challenging, especially when endogenously controlled expression of the tagged protein is weak or regulated by cellular signals. Here, we expand the strategy to selection-free endogenous tagging by exploiting exogenous co-expression of surface antigens. These endogenously regulated, but still easily accessible surface antigens allow simple identification and isolation of clones harboring correctly tagged alleles via common sorting procedures (e.g. FACS/MACS).Using metabolically controlled interaction studies of the endogenously tagged mTORC1-regulating GATOR2 complex protein WDR59, we show that endogenous GFP-labeling does not affect complex association of fusion proteins and downstream signaling via mTORC1. In addition, exogenous co-expression of the NGFR surface antigen does not influence conditional protein-protein interactions.•A method for selection-free, site-specific, homology-independent endogenous genetic tagging.•Production of fusion genes for protein visualization in living cells or determination of protein-protein-interactions.•Expression of a fusion protein mirroring physiological expression in its natural genetic context.

Deep-PCL: A deep learning model for prediction of cancerlectins and non cancerlectins using optimized integrated features

Lectins are types of glycoprotein that have a wide variety of different species which play an important part in tumor discrimination due to their meaningful binding resemblance to different types of saccharide (carbohydrate) groups of the protein. Cancerlectins are those lectins that are firmly identified with specific kinds of proteins, which begin cancer cell endurance, development, metastasis, and spread of cancer. Differentiation of a protein based on its functionality remains a difficult job in the post-genomic era. The study of protein-specific function differentiation plays important role in therapeutic cancer studies. Lab-based methods were presented for prediction of cancerlectins. However, these approaches are expensive and time-consuming. Numerous computational sequence-based approaches have been developed to separate cancerlectins from non-cancerlectins. In our proposed study, we have designed a fast deep learning model for the discrimination of cancerlectins from non-cancerlectins on sequence-based feature descriptive techniques. The proposed model discovered intrinsic features by Conjoint Trade (CT), Pseudo Amino Acid Composition (PseAAC), and Position Specific Scoring Matrix (PSSM). The feature vector of these descriptors was concatenated and selected the best features by Random Forest-Sequential Feature Selection (RF-SFS). The model training and prediction were performed with Decision Tree (DT), Random Forest Classifier (RFC), Support Vector Machine (SVM), and Deep Neural Network (DNN).The DNN showed the best performance and secured 89.40% accuracy, 80.84% sensitivity, and 94.62% specificity. These experimental results show the sturdiness of the proposed study and surpassed all the current methodology in the literature. We believe that the proposed strategy will be a helpful instrument in the malignant growth therapeutics research, drug plan, and scholarly examination considers.