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Molecular Markers of Serine Protease Evolution
The EMBO Journal Vol. 20 No. 12 pp. 3036±3045, 2001 Molecular markers of serine protease evolution Maxwell M.Krem and Enrico Di Cera1 ment and specialization of the catalytic architecture should correspond to signi®cant evolutionary transitions in the Department of Biochemistry and Molecular Biophysics, Washington University School of Medicine, Box 8231, St Louis, history of protease clans. Evolutionary markers encoun- MO 63110-1093, USA tered in the sequences contributing to the catalytic apparatus would thus give an account of the history of 1Corresponding author e-mail: [email protected] an enzyme family or clan and provide for comparative analysis with other families and clans. Therefore, the use The evolutionary history of serine proteases can be of sequence markers associated with active site structure accounted for by highly conserved amino acids that generates a model for protease evolution with broad form crucial structural and chemical elements of applicability and potential for extension to other classes of the catalytic apparatus. These residues display non- enzymes. random dichotomies in either amino acid choice or The ®rst report of a sequence marker associated with serine codon usage and serve as discrete markers for active site chemistry was the observation that both AGY tracking changes in the active site environment and and TCN codons were used to encode active site serines in supporting structures. These markers categorize a variety of enzyme families (Brenner, 1988). Since serine proteases of the chymotrypsin-like, subtilisin- AGY®TCN interconversion is an uncommon event, it like and a/b-hydrolase fold clans according to phylo- was reasoned that enzymes within the same family genetic lineages, and indicate the relative ages and utilizing different active site codons belonged to different order of appearance of those lineages. -
Mrna Vaccine Era—Mechanisms, Drug Platform and Clinical Prospection
International Journal of Molecular Sciences Review mRNA Vaccine Era—Mechanisms, Drug Platform and Clinical Prospection 1, 1, 2 1,3, Shuqin Xu y, Kunpeng Yang y, Rose Li and Lu Zhang * 1 State Key Laboratory of Genetic Engineering, Institute of Genetics, School of Life Science, Fudan University, Shanghai 200438, China; [email protected] (S.X.); [email protected] (K.Y.) 2 M.B.B.S., School of Basic Medical Sciences, Peking University Health Science Center, Beijing 100191, China; [email protected] 3 Shanghai Engineering Research Center of Industrial Microorganisms, Shanghai 200438, China * Correspondence: [email protected]; Tel.: +86-13524278762 These authors contributed equally to this work. y Received: 30 July 2020; Accepted: 30 August 2020; Published: 9 September 2020 Abstract: Messenger ribonucleic acid (mRNA)-based drugs, notably mRNA vaccines, have been widely proven as a promising treatment strategy in immune therapeutics. The extraordinary advantages associated with mRNA vaccines, including their high efficacy, a relatively low severity of side effects, and low attainment costs, have enabled them to become prevalent in pre-clinical and clinical trials against various infectious diseases and cancers. Recent technological advancements have alleviated some issues that hinder mRNA vaccine development, such as low efficiency that exist in both gene translation and in vivo deliveries. mRNA immunogenicity can also be greatly adjusted as a result of upgraded technologies. In this review, we have summarized details regarding the optimization of mRNA vaccines, and the underlying biological mechanisms of this form of vaccines. Applications of mRNA vaccines in some infectious diseases and cancers are introduced. It also includes our prospections for mRNA vaccine applications in diseases caused by bacterial pathogens, such as tuberculosis. -
Small RNA Fragments Derived from Multiple RNA Classes – the Missing
Jackowiak et al. BMC Genomics (2017) 18:502 DOI 10.1186/s12864-017-3891-3 RESEARCHARTICLE Open Access Small RNA fragments derived from multiple RNA classes – the missing element of multi-omics characteristics of the hepatitis C virus cell culture model Paulina Jackowiak1, Anna Hojka-Osinska1, Anna Philips1, Agnieszka Zmienko1,2, Lucyna Budzko1, Patrick Maillard3, Agata Budkowska3,4 and Marek Figlerowicz1,2* Abstract Background: A pool of small RNA fragments (RFs) derived from diverse cellular RNAs has recently emerged as a rich source of functionally relevant molecules. Although their formation and accumulation has been connected to various stress conditions, the knowledge on RFs produced upon viral infections is very limited. Here, we applied the next generation sequencing (NGS) to characterize RFs generated in the hepatitis C virus (HCV) cell culture model (HCV-permissive Huh-7.5 cell line). Results: We found that both infected and non-infected cells contained a wide spectrum of RFs derived from virtually all RNA classes. A significant fraction of identified RFs accumulated to similar levels as miRNAs. Our analysis, focused on RFs originating from constitutively expressed non-coding RNAs, revealed three major patterns of parental RNA cleavage. We found that HCV infection induced significant changes in the accumulation of low copy number RFs, while subtly altered the levels of high copy number ones. Finally, the candidate RFs potentially relevant for host-virus interactions were identified. Conclusions: Our results indicate that RFs should be considered an important component of the Huh-7.5 transcriptome and suggest that the main factors influencing the RF biogenesis are the RNA structure and RNA protection by interacting proteins. -
Explore the RNA Universe!
Explore the RNA Universe! Circulating cell-free RNA (ccfRNA) Exosomes Exosomal RNA (exRNA) Ribonuclease P (RNase P) Small (short) interfering RNA (siRNA) Pre-miRNA Small nucleolar RNA Exportin-5 (snoRNA) MicroRNA (miRNA) Drosha Pri-miRNA RISC DGCR8 Ribosomal RNA (rRNA) Small nuclear RNA Ribonuclease MRP Y RNA (snRNA) (RNase MRP) Long non-coding RNA Messenger RNA (mRNA) (IncRNA) Transfer RNA (tRNA) Telomerase RNA Ribosomes Signal recognition particle RNA (SRP RNA) Mitochondria Piwi-interacting RNA (piRNA) Sample to Insight Explore the RNA Universe! RNA function RNA type Detailed role in the cell Protein synthesis Messenger RNA (mRNA) Carrying the genetic information copied from DNA in the form of three-nucleotide bases “codon,” each specifying a particular amino acid for protein synthesis at the ribosomes. Purify with: RNeasy® Plus Kits*, RNeasy Kits*, QIAamp® RNA Blood Kit*, QIAcube® Assay using: QuantiNova® Kits, RT2 Profiler™ PCR Assays and Arrays, Rotor-Gene® Q , QIAseq™ Targeted RNA Panels, QIAseq Stranded mRNA Select Library Kit, QIAseq UPX 3' Targeted RNA Panel, QIAseq UPX 3' Transcriptome RNA Library Kit, QIAseq Targeted RNAscan Panels, QIAseq FX Single Cell RNA Library Kit Transfer RNA Adapter molecule bringing the amino acid corresponding to a specific mRNA codon to the ribosome. Having an anticodon (complementary to the codon), a site (tRNA) binding a specific amino acid and a site binding aminoacyl-tRNA synthetase (enzyme catalyzing amino acid-tRNA binding). Ribosomal RNA (rRNA) RNA component of the ribosome, where protein is translated. Ribosomes align the anticodon of tRNA with the mRNA codon and are required for the peptidyl transferase activity catalyzing the assembly of amino acids into protein chains. -
Revealing the Missing Expressed Genes Beyond the Human Reference
Chen et al. BMC Genomics 2011, 12:590 http://www.biomedcentral.com/1471-2164/12/590 RESEARCH ARTICLE Open Access Revealing the missing expressed genes beyond the human reference genome by RNA-Seq Geng Chen1, Ruiyuan Li2, Leming Shi3, Junyi Qi1, Pengzhan Hu1, Jian Luo1, Mingyao Liu1 and Tieliu Shi1,4* Abstract Background: The complete and accurate human reference genome is important for functional genomics researches. Therefore, the incomplete reference genome and individual specific sequences have significant effects on various studies. Results: we used two RNA-Seq datasets from human brain tissues and 10 mixed cell lines to investigate the completeness of human reference genome. First, we demonstrated that in previously identified ~5 Mb Asian and ~5 Mb African novel sequences that are absent from the human reference genome of NCBI build 36, ~211 kb and ~201 kb of them could be transcribed, respectively. Our results suggest that many of those transcribed regions are not specific to Asian and African, but also present in Caucasian. Then, we found that the expressions of 104 RefSeq genes that are unalignable to NCBI build 37 in brain and cell lines are higher than 0.1 RPKM. 55 of them are conserved across human, chimpanzee and macaque, suggesting that there are still a significant number of functional human genes absent from the human reference genome. Moreover, we identified hundreds of novel transcript contigs that cannot be aligned to NCBI build 37, RefSeq genes and EST sequences. Some of those novel transcript contigs are also conserved among human, chimpanzee and macaque. By positioning those contigs onto the human genome, we identified several large deletions in the reference genome. -
Coding RNA Genes
Review A guide to naming human non-coding RNA genes Ruth L Seal1,2,* , Ling-Ling Chen3, Sam Griffiths-Jones4, Todd M Lowe5, Michael B Mathews6, Dawn O’Reilly7, Andrew J Pierce8, Peter F Stadler9,10,11,12,13, Igor Ulitsky14 , Sandra L Wolin15 & Elspeth A Bruford1,2 Abstract working on non-coding RNA (ncRNA) nomenclature in the mid- 1980s with the approval of initial gene symbols for mitochondrial Research on non-coding RNA (ncRNA) is a rapidly expanding field. transfer RNA (tRNA) genes. Since then, we have worked closely Providing an official gene symbol and name to ncRNA genes brings with experts in the ncRNA field to develop symbols for many dif- order to otherwise potential chaos as it allows unambiguous ferent kinds of ncRNA genes. communication about each gene. The HUGO Gene Nomenclature The number of genes that the HGNC has named per ncRNA class Committee (HGNC, www.genenames.org) is the only group with is shown in Fig 1, and ranges in number from over 4,500 long the authority to approve symbols for human genes. The HGNC ncRNA (lncRNA) genes and over 1,900 microRNA genes, to just four works with specialist advisors for different classes of ncRNA to genes in the vault and Y RNA classes. Every gene symbol has a ensure that ncRNA nomenclature is accurate and informative, Symbol Report on our website, www.genenames.org, which where possible. Here, we review each major class of ncRNA that is displays the gene symbol, gene name, chromosomal location and currently annotated in the human genome and describe how each also includes links to key resources such as Ensembl (Zerbino et al, class is assigned a standardised nomenclature. -
Long Noncoding Rnas Involvement in Epstein-Barr Virus Infection And
Zhang et al. Virology Journal (2020) 17:51 https://doi.org/10.1186/s12985-020-01308-y REVIEW Open Access Long noncoding RNAs involvement in Epstein-Barr virus infection and tumorigenesis Jing Zhang1,2,3, Xiaohan Li1,2,3, Jingjin Hu1,2,3, Pengfei Cao2, Qijia Yan1,2, Siwei Zhang1,2,3, Wei Dang1,2,3 and Jianhong Lu1,2* Abstract The Epstein-Barr virus (EBV) is a ubiquitous γ-herpesvirus related to various types of cancers, including epithelial nasopharyngeal carcinoma, gastric carcinoma, and lymphoma. Long noncoding RNAs (lncRNAs) are expressed extensively in mammalian cells and play crucial roles in regulating various cellular processes and multiple cancers. Cellular lncRNAs can be differentially expressed induced by EBV infection. The dysregulated lncRNAs probably modulate the host immune response and other biological functions. At present, lncRNAs have been found to be significantly increased or decreased in EBV-infected cells, exosomes and EBV-associated cancers, suggesting their potential function and clinical application as biomarkers. In addition, EBV-encoded lncRNAs, BART and BHLF1 lncRNAs, may play roles in the viral oncogenesis. Analysis of the specific lncRNAs involved in interactions with the EBV machinery will provide information on their potential mechanism of action during multiple steps of EBV tumorigenesis. Here, we review the current knowledge regarding EBV- related lncRNAs and their possible roles in the pathogenesis of EBV-associated cancers. Keywords: Long noncoding RNA, Epstein-Barr virus, Tumorigenesis, Epithelial cancer, Lymphoma Background lymphoma, nasopharyngeal carcinoma (NPC), gastric can- Epstein-Barr virus (EBV) is a ubiquitous γ-herpesvirus, cer (GC), Hodgkin’s disease and breast cancer [1, 2]. -
Biased Signaling of G Protein Coupled Receptors (Gpcrs): Molecular Determinants of GPCR/Transducer Selectivity and Therapeutic Potential
Pharmacology & Therapeutics 200 (2019) 148–178 Contents lists available at ScienceDirect Pharmacology & Therapeutics journal homepage: www.elsevier.com/locate/pharmthera Biased signaling of G protein coupled receptors (GPCRs): Molecular determinants of GPCR/transducer selectivity and therapeutic potential Mohammad Seyedabadi a,b, Mohammad Hossein Ghahremani c, Paul R. Albert d,⁎ a Department of Pharmacology, School of Medicine, Bushehr University of Medical Sciences, Iran b Education Development Center, Bushehr University of Medical Sciences, Iran c Department of Toxicology–Pharmacology, School of Pharmacy, Tehran University of Medical Sciences, Iran d Ottawa Hospital Research Institute, Neuroscience, University of Ottawa, Canada article info abstract Available online 8 May 2019 G protein coupled receptors (GPCRs) convey signals across membranes via interaction with G proteins. Origi- nally, an individual GPCR was thought to signal through one G protein family, comprising cognate G proteins Keywords: that mediate canonical receptor signaling. However, several deviations from canonical signaling pathways for GPCR GPCRs have been described. It is now clear that GPCRs can engage with multiple G proteins and the line between Gprotein cognate and non-cognate signaling is increasingly blurred. Furthermore, GPCRs couple to non-G protein trans- β-arrestin ducers, including β-arrestins or other scaffold proteins, to initiate additional signaling cascades. Selectivity Biased Signaling Receptor/transducer selectivity is dictated by agonist-induced receptor conformations as well as by collateral fac- Therapeutic Potential tors. In particular, ligands stabilize distinct receptor conformations to preferentially activate certain pathways, designated ‘biased signaling’. In this regard, receptor sequence alignment and mutagenesis have helped to iden- tify key receptor domains for receptor/transducer specificity. -
Bioinformatic Protein Family Characterisation
Linköping studies in science and technology Dissertation No. 1343 Bioinformatic protein family characterisation Joel Hedlund Department of Physics, Chemistry and Biology Linköping, 2010 1 The front cover shows a tree diagram of the relations between proteins in the MDR superfamily (papers III–IV), excluding non-eukaryotic sequences as well as four fifths of the remainder for clarity. In total, 518 out of the 16667 known members are shown, and 1.5 cm in the dendrogram represents 10 % sequence differences. The bottom bar diagram shows conservation in these sequences using the CScore algorithm from the MSAView program (papers II and V), with infrequent insertions omitted for brevity. This example illustrates the size and complexity of the MDR superfamily, and it also serves as an illuminating example of the intricacies of the field of bioinformatics as a whole, where, after scaling down and removing layer after layer of complexity, there is still always ample size and complexity left to go around. The back cover shows a schematic view of the three-dimensional structure of human class III alcohol dehydrogenase, indicating the positions of the zinc ion and NAD cofactors, as well as the Rossmann fold cofactor binding domain (red) and the GroES-like folding core of the catalytic domain (green). This thesis was typeset using LYX. Inkscape was used for figure layout. During the course of research underlying this thesis, Joel Hedlund was enrolled in Forum Scientium, a multidisciplinary doctoral programme at Linköping University, Sweden. Copyright © 2010 Joel Hedlund, unless otherwise noted. All rights reserved. Joel Hedlund Bioinformatic protein family characterisation ISBN: 978-91-7393-297-4 ISSN: 0345-7524 Linköping studies in science and technology, dissertation No. -
Protein Structure and Function from Sequence to Function (I)
BCHS 6229 ProteinProtein StructureStructure andand FunctionFunction Lecture 6 (Oct 27, 2011) From Sequence to Function (I): - Protein Profiling - Case Studies in Structural & Functional Genomics 1 From Sequence to Function in the age of Genomics How to predict functions for 1000s proteins? 1. “Conventional” sequence pattern 2. “Fold similarity - Structural genomics 3. Clustering microarray experiments 4. Data integration 2 From Sequence to Function in the age of Genomics •Genomics is making an increasing contribution to the study of protein structure function. •Sequence and structural comparison can usually give only limited information, however, and comprehensively characterizing the protein function of an uncharacterized protein in a cell or organism will always require additional experimental investigations on the purified proteins in vitro as well as cell biological and mutational studies in vivo. 3 From Sequence to Function in the age of Genomics •Proteomics Understand Proteins, through analyzing populations Structure (motions, packing,folds) Function Evolution Integration of information Structures - Sequences - Microarrays 4 Regulation of flagellar genes in C. jejuni Carrillo CD et al. J Biol Chem (2004) 279(19):20327-38. 5 Time and distance scales in functional genomics Time Process Example System Example Detection Methods Distance Interdisciplinary approaches are essential to determine the functions of gene products. 6 Sequence alignment and comparison General principle of alignments: Two homologous sequences derived from the same ancestral sequence will have at least some identical residues at the corresponding positions in the sequence; if corresponding positions in the sequence are aligned, the degree of matching should be statistically significant compared with that of two randomly chosen unrelated sequences. -
Why Y Rnas? About Versatile Rnas and Their Functions
Biomolecules 2013, 3, 143-156; doi:10.3390/biom3010143 OPEN ACCESS biomolecules ISSN 2218-273X www.mdpi.com/journal/biomolecules/ Review Why Y RNAs? About Versatile RNAs and Their Functions Marcel Köhn, Nikolaos Pazaitis and Stefan Hüttelmaier * Martin-Luther-University Halle-Wittenberg, Institute of Molecular Medicine, Section Molecular Cell Biology, ZAMED, Heinrich-Damerow-Str.1, D-6120 Halle, Germany; E-Mails: [email protected] (M.K.) [email protected] (N.P.) * Author to whom correspondence should be addressed; E-Mail: [email protected]; Tel.: +0049-(0)3455522860; Fax: +0049-(0)3455522894. Received: 31 December 2012; in revised form: 27 January 2013 / Accepted: 31 January 2013 / Published: 8 February 2013 Abstract: Y RNAs constitute a family of highly conserved small noncoding RNAs (in humans: 83-112 nt; Y1, Y3, Y4 and Y5). They are transcribed from individual genes by RNA-polymerase III and fold into conserved stem-loop-structures. Although discovered 30 years ago, insights into the cellular and physiological role of Y RNAs remains incomplete. In this review, we will discuss knowledge on the structural properties, associated proteins and discuss proposed functions of Y RNAs. We suggest Y RNAs to be an integral part of ribonucleoprotein networks within cells and could therefore have substantial influence on many different cellular processes. Putative functions of Y RNAs include small RNA quality control, DNA replication, regulation of the cellular stress response and proliferation. This suggests Y RNAs as essential regulators of cell fate and indicates future avenues of research, which will provide novel insights into the role of small noncoding RNAs in gene expression. -
Molecular Characterization, Protein–Protein Interaction Network, and Evolution of Four Glutathione Peroxidases from Tetrahymena Thermophila
antioxidants Article Molecular Characterization, Protein–Protein Interaction Network, and Evolution of Four Glutathione Peroxidases from Tetrahymena thermophila Diana Ferro 1,2, Rigers Bakiu 3 , Sandra Pucciarelli 4, Cristina Miceli 4 , Adriana Vallesi 4 , Paola Irato 5 and Gianfranco Santovito 5,* 1 BIO5 Institute, University of Arizona, Tucson, AZ 85719, USA; [email protected] 2 Department of Pediatrics, Children’s Mercy Hospital and Clinics, Kansas City, MO 64108, USA 3 Department of Aquaculture and Fisheries, Agricultural University of Tirana, 1000 Tiranë, Albania; [email protected] 4 School of Biosciences and Veterinary Medicine, University of Camerino, 62032 Camerino, Italy; [email protected] (S.P.); [email protected] (C.M.); [email protected] (A.V.) 5 Department of Biology, University of Padova, 35131 Padova, Italy; [email protected] * Correspondence: [email protected] Received: 6 September 2020; Accepted: 1 October 2020; Published: 2 October 2020 Abstract: Glutathione peroxidases (GPxs) form a broad family of antioxidant proteins essential for maintaining redox homeostasis in eukaryotic cells. In this study, we used an integrative approach that combines bioinformatics, molecular biology, and biochemistry to investigate the role of GPxs in reactive oxygen species detoxification in the unicellular eukaryotic model organism Tetrahymena thermophila. Both phylogenetic and mechanistic empirical model analyses provided indications about the evolutionary relationships among the GPXs of Tetrahymena and the orthologous enzymes of phylogenetically related species. In-silico gene characterization and text mining were used to predict the functional relationships between GPxs and other physiologically-relevant processes. The GPx genes contain conserved transcriptional regulatory elements in the promoter region, which suggest that transcription is under tight control of specialized signaling pathways.