稀有鲫热激蛋白70的分子克隆及表达特征分析

为研究稀有鲫（Gobiocypris rarus）HSP70用于淡水毒理学和风险评估方面的可行性,通过cDNA末端快速扩增的方法首次从稀有鲫肝脏中成功克隆出HSP70基因的cDNA全长,命名为GrHSP70。NCBI比对分析结果显示,GrHSP70核苷酸序列与其他鱼类的HSP70基因的核苷酸序列相似性极高,相应的氨基酸序列同源性也高（大于95%）。通过实时定量PCR获得未经污染物暴露的稀有鲫幼鱼体内13种组织中GrHSP70的分布以及PCP暴露后肝脏中该基因的表达图谱,结果表明GrHSP70在稀有鲫体内的表达呈现出组织依赖性,在性腺组织中的表达最高。此外,在不同时间﹑不同浓度的PCP暴露下稀有鲫肝脏中GrHSP70的表达模式呈现出显著的时间-剂量依赖效应。总之,GrHSP70可作为一种非常敏感的生物标志物,适用于中国淡水环境污染的毒理学研究及风险评估。     

昆虫毒理学发展与展望

论文对昆虫毒理学的发展现状以及我国昆虫毒理学工作者今年取得的成绩进行论述,并对昆虫毒理学的发展做了展望。从研究思路、昆虫毒理学家的数量、发表SCI论文数、杀虫药剂的创制以及毒理机制和杀虫药剂抗药性研究等方面与国外进行了比较。     

Molecular targets that link dioxin exposure to toxicity phenotypes

Many toxicology studies have elucidated health effects associated with exposure to various chemicals, but few have identified the molecular targets that cause specific endpoints of toxicity. Our understanding of the toxicity of dioxins, a group of chemicals capable of causing toxicity at environmentally relevant levels of exposure, is no exception. Dioxins are unique compared to most chemicals that we are exposed to in the environment because they activate a high affinity receptor, aryl hydrocarbon receptor (AhR), that was identified more than three decades ago. In recent years, several lines of experimental evidence have provided clues for opening the "black box" that contains the molecular mechanisms of dioxin action. These clues have emerged by toxicologists beginning to identify the molecular targets that link AhR signaling to tissue-specific toxicity phenotypes. Endpoints of dioxin toxicity for which downstream molecular targets have begun to be elucidated are observed in developmental or tissue regeneration processes, and include impaired prostate development and hydronephrosis in mouse fetuses and pups, reduced midbrain blood flow and jaw malformation in zebrafish embryos, and impaired fin regeneration in larval and adult zebrafish. Significant progress in identifying molecular targets for dioxin-induced hepatotoxicity in adult mice also has occurred. Misregulation of AhR downstream pathways, such as conversion of arachidonic acid to prostanoids via cyclooxygenase-2, and altered Wnt/β-catenin signaling downregulating Sox9, and signaling by receptors for inflammatory cytokines have been implicated in tissue-specific endpoints of dioxin toxicity. These findings may not only begin to clarify the molecular targets of dioxin action but shed light on new molecular events associated with development and disease.     

A systems biology approach to prediction of oncogenes and molecular perturbation targets in B‐cell lymphomas

The computational identification of oncogenic lesions is still a key open problem in cancer biology. Although several methods have been proposed, they fail to model how such events are mediated by the network of molecular interactions in the cell. In this paper, we introduce a systems biology approach, based on the analysis of molecular interactions that become dysregulated in specific tumor phenotypes. Such a strategy provides important insights into tumorigenesis, effectively extending and complementing existing methods. Furthermore, we show that the same approach is highly effective in identifying the targets of molecular perturbations in a human cellular context, a task virtually unaddressed by existing computational methods. To identify interactions that are dysregulated in three distinct non‐Hodgkin's lymphomas and in samples perturbed with CD40 ligand, we use the B‐cell interactome (BCI), a genome‐wide compendium of human B‐cell molecular interactions, in combination with a large set of microarray expression profiles. The method consistently ranked the known gene in the top 20 (0.3%), outperforming conventional approaches in 3 of 4 cases.     

Mechanisms of Fc receptor and dectin-1 activation for phagocytosis

Phagocytosis is a key cellular process, both during homeostasis and upon infection or tissue damage. Receptors on the surface of professional phagocytic cells bind to target particles either directly or through opsonizing ligands, and trigger actin-mediated ingestion of the particles. The process must be carefully controlled to ensure that phagocytosis is triggered efficiently and specifically, and that the antimicrobial cytotoxic responses that often accompany it are initiated only when required. In this review, we will describe and compare the molecular mechanisms that regulate phagocytosis triggered by Fcγ receptors, which mediate the uptake of immunoglobulin G-opsonized targets, and Dectin-1, which is responsible for internalization of fungi with exposed cell wall β-glucan. We will examine how these receptors detect their ligands, how signal transduction is initiated and regulated, and how internalization is instructed to achieve rapid and yet controlled uptake of their targets.     

A method to improve selection of molecular targets by circumventing the ADME pharmacokinetic system utilizing PharmArray DNA microarrays

DNA microarrays may be used to identify potential molecular targets for drug discovery. Yet, DNA microarray experiments provide massive amounts of data. To limit the choice of potential molecular targets, it may be desirable to eliminate genes coincidentally up-regulated in tissues implicated in absorption, distribution, metabolism, and excretion (ADME) pharmacokinetics. DNA microarray experiments were performed to demonstrate a gene-exclusion approach using as an example RNA samples of neural origin, i.e., a human neuroblastoma cell line (SK-N-SH) and brain tissue, as the intended hypothetical site(s) of drug action. Biomarkers were identified using PharmArray DNA microarrays. The lists of neuroblastoma and neural biomarkers were constrained by limiting selection to the subset of genes that were not highly expressed in three transformed cell lines from liver, colon, and kidney (HepG2, Caco-2, and 786-O, respectively) that are routinely used as representatives of the ADME system during in vitro pharmacology and toxicology experiments. Principal component analysis methods with likelihood ratio-related bioinformatic tools were utilized to identify robust potential biomarker genes for the three ADME-related cell lines, neuroblastoma, and normal brain. Biomarkers of each sample were identified and selected genes were validated by qRT-PCR. Hundreds of biomarkers of the three ADME-related cell types, representing hepatocytes, kidney epithelium, and gastrointestinal tract, may now be used as a valuable database to restrict selection of biomarkers as potential molecular targets from the intended samples (e.g., neuroblastoma in this work). In addition to biomarker discovery per se, this demonstration suggests that our model method may be viable to help restrict gene lists during selection of potential molecular targets for subsequent drug discovery.     

LC-MS-based metabonomics analysis

Metabonomics aims at the comprehensive and quantitative analysis of wide arrays of metabolites in biological samples. It has shown particular promise in the areas of toxicology and drug development, functional genomics, systems biology, and clinical diagnosis. Comprehensive metabonomics investigations are primarily a challenge for analytical chemistry. High-performance liquid chromatography-mass spectrometry (HPLC-MS) is an established technology in drug metabolite analysis and is now expanding into endogenous metabolite research. Its main advantages include wide dynamic range, reproducible quantitative analysis, and the ability to analyze biofluids with extreme molecular complexity. The aims of developing HPLC-MS for metabonomics range from understanding basic biochemistry to biomarker discovery and the structural characterization of physiologically important metabolites. In this review, the strategy and application of HPLC-MS-based metabonomics are reviewed.     

Nitric oxide function in plant abiotic stress

Abiotic stress is one of the main threats affecting crop growth and production. An understanding of the molecular mechanisms that underpin plant responses against environmental insults will be crucial to help guide the rational design of crop plants to counter these challenges. A key feature during abiotic stress is the production of nitric oxide (NO), an important concentration dependent, redox‐related signalling molecule. NO can directly or indirectly interact with a wide range of targets leading to the modulation of protein function and the reprogramming of gene expression. The transfer of NO bioactivity can occur through a variety of potential mechanisms but chief among these is S‐nitrosylation, a prototypic, redox‐based, post‐translational modification. However, little is known about this pivotal molecular amendment in the regulation of abiotic stress signalling. Here, we describe the emerging knowledge concerning the function of NO and S‐nitrosylation during plant responses to abiotic stress.     

Contribution of the functional dyad of animal toxins acting on voltage-gated Kv1-type channels.

The 'functional dyad', a well-defined pair of amino acid residues (basic and hydrophobic residues), is a key molecular determinant present in most animal toxins acting on voltage-gated Kv1 channels. It is increasingly used as a working concept to explain how toxins are able to recognize and block their specific ion channel targets. However, other crucial toxin determinants are emerging and the actual role of this 'functional dyad' ought to be clarified, which is the object of the present mini-review.     

Quantitation of target proteins and post-translational modifications in affinity-based proteomics approaches

As proteomics attempts to enter clinical and diagnostic application, key issues surrounding the viability of various proteomics approaches must be evaluated. A major issue at the forefront of discussion is the ability to quantitate protein targets, including the discrimination of endogenous variants that are the result of genetic and post-translational modifications. Mass spectrometry is the logical solution to this problem because of its ability to capitalize on the intrinsic property of molecular mass. However, the ability to successfully compete with classical immunoassays, the dominant technologies in the clinical and diagnostic world for quantitative protein assessment, is not a trivial task. This review offers a comprehensive discussion regarding some of the major developments in quantitative approaches towards both top-down and bottom-up proteomics. Described in more detail is the mass spectrometric immunoassay, including examples of how immunoaffinity capture is enhanced with mass spectrometry detection, and the use of this approach in protein quantification may be viewed as an improvement of the currently accepted clinical and diagnostic methodologies.     

Genomics and the discovery of new drug targets

Molecular medicine and genomics technologies are inseparable for defining new molecular targets. cDNA databases and elementary informatic tools provide instantaneous glimpses of gene families or tissue-restricted expression patterns as a means of new target identification. In addition, cDNA microarrays and two-dimensional gel electrophoresis unmask the expression of genes with unassigned or unexpected functions. Depletion of mRNA with ribozymes or neutralization of proteins with intracellular antibodies enable investigators to reject or embrace new molecular hypotheses about the determinants of disease, pharmacology or toxicology.     

Identification of novel miR-21 target proteins in multiple myeloma cells by quantitative proteomics

Substantial evidence indicates that microRNA-21 (miR-21) is a key oncomiR in carcinogenesis and is significantly elevated in multiple myeloma (MM). In this study, we explored the role of miR-21 in human MM cells and searched for miR-21 targets. By knocking down the expression of endogenous miR-21 in U266 myeloma cells, we observed reduced growth, an arrested cell cycle, and increased apoptosis. To further understand its molecular mechanism in the pathogenesis of MM, we employed a SILAC (stable isotope labeling by amino acids in cell culture)-based quantitative proteomic strategy to systematically identify potential targets of miR-21. In total, we found that the expression of 178 proteins was up-regulated significantly by miR-21 inhibition, implying that they could be potential targets of miR-21. Among these, the protein inhibitor of activated STAT3 (PIAS3) was confirmed as a direct miR-21 target by Western blotting and reporter gene assays. We further demonstrated that miR-21 enhances the STAT3-dependent signal pathway by inhibiting the function of PIAS3 and that down-regulation of PIAS3 contributes to the oncogenic function of miR-21. This elucidation of the role of PIAS3 in the miR-21-STAT3 positive regulatory loop not only may shed light on the molecular basis of the biological effects of miR-21 observed in MM cells but also has direct implications for the development of novel anti-MM therapeutic strategies.     

Exploring the mechanism of ellagic acid against gastric cancer based on bioinformatics analysis and network pharmacology

Ellagic acid (EA) is a natural polyphenolic compound. Recent studies have shown that EA has potential anticancer properties against gastric cancer (GC). This study aims to reveal the potential targets and mechanisms of EA against GC. This study adopted methods of bioinformatics analysis and network pharmacology, including the weighted gene co-expression network analysis (WGCNA), construction of protein–protein interaction (PPI) network, receiver operating characteristic (ROC) and Kaplan–Meier (KM) survival curve analysis, Gene Ontology (GO) function and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis, molecular docking and molecular dynamics simulations (MDS). A total of 540 EA targets were obtained. Through WGCNA, we obtained a total of 2914 GC clinical module genes, combined with the disease database for screening, a total of 606 GC-related targets and 79 intersection targets of EA and GC were obtained by constructing Venn diagram. PPI network was constructed to identify 14 core candidate targets; TP53, JUN, CASP3, HSP90AA1, VEGFA, HRAS, CDH1, MAPK3, CDKN1A, SRC, CYCS, BCL2L1 and CDK4 were identified as the key targets of EA regulation of GC by ROC and KM curve analysis. The enrichment analysis of GO and KEGG pathways of key targets was performed, and they were mainly enriched in p53 signalling pathway, PI3K-Akt signalling pathway. The results of molecular docking and MDS showed that EA could effectively bind to 13 key targets to form stable protein–ligand complexes. This study revealed the key targets and molecular mechanisms of EA against GC and provided a theoretical basis for further study of the pharmacological mechanism of EA against GC.     

The guanidino-group modifying enzymes: structural basis for their diversity and commonality

The guanidino-group modifying enzyme (GME) superfamily contains many drug targets, including metabolic enzymes from pathogenic microorganisms as well as key regulatory proteins from higher eukaryotes. These enzymes, despite their diverse sequences, adopt the common alpha/beta propeller fold and catalyze the modification of (methylated) guanidino groups. Our structural superposition and structure-based alignment for the GMEs have identified key residues that are involved in the catalysis and substrate binding. We have shown that conserved guanidino-carboxyl interactions are utilized in two different ways; the acidic residues in the catalytic site form hydrogen bonds to the substrate guanidino group, and the enzyme Arg residues at several key positions recognize the carboxyl group of the substrate and fix its orientation. Based on this observation, we have proposed rules for classifying the GME sequences and predicting their molecular function from the conservation of the key acidic and Arg residues. Other novel motifs have been identified, which involve residues that are not in direct contact with the substrate but are likely to stabilize the active-site conformation through hydrogen-bonding networks. In addition, we have examined the domain architecture of the GMEs. Although most members consist of a single catalytic domain, fold recognition analysis has identified a likely bifunctional enzyme from a cyanobacterium. It has also revealed common immunoglobulin-like beta-sandwich domains found in the enzymes that recognize protein substrates. These findings will be useful for predicting the precise mechanism of action for potential novel targets and designing therapeutic compounds against them.     

Network Reconstruction and Significant Pathway Extraction Using Phosphoproteomic Data from Cancer Cells

Protein phosphorylation acts as an efficient switch controlling deregulated key signaling pathway in cancer. Computational biology aims to address the complexity of reconstructed networks but overrepresents well‐known proteins and lacks information on less‐studied proteins. A bioinformatic tool to reconstruct and select relatively small networks that connect signaling proteins to their targets in specific contexts is developed. It enables to propose and validate new signaling axes of the Syk kinase. To validate the potency of the tool, it is applied to two phosphoproteomic studies on oncogenic mutants of the well‐known phosphatidyl‐inositol 3‐kinase (PIK3CA) and the unfamiliar Src‐related tyrosine kinase lacking C‐terminal regulatory tyrosine and N‐terminal myristoylation sites (SRMS) kinase. By combining network reconstruction and signal propagation, comprehensive signaling networks from large‐scale experimental data are built and multiple molecular paths from these kinases to their targets are extracted. Specific paths from two distinct PIK3CA mutants are retrieved, and their differential impact on the HER3 receptor kinase is explained. In addition, to address the missing connectivities of the SRMS kinase to its targets in interaction pathway databases, phospho‐tyrosine and phospho‐serine/threonine proteomic data are integrated. The resulting SRMS‐signaling network comprises casein kinase 2, thereby validating its currently suggested role downstream of SRMS. The computational pipeline is publicly available, and contains a user‐friendly graphical interface ( http://doi.org/10.5281/zenodo.3333687 ).     

Multiple effects of acetaminophen and p38 inhibitors: towards pathway toxicology

The majority of drug-related toxicities are idiosyncratic, with little pathophysiological insight and mechanistic understanding. Pathway toxicology is an emerging field of toxicology in the post-genomic era that studies the molecular interactions between toxicants and biological pathways as a way to bridge this knowledge gap. Using two case studies--acetaminophen and p38 MAPK inhibitors--this review illustrates how a pathway-based perspective has advanced our understanding of compound and target-based toxicities. The advancement of pathway toxicology will be dependent on integrated applications of techniques from basic sciences and a fundamental understanding of the interdependence of multiple biological pathways in living organisms.