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Abstract
In vitro-transcribed RNAs are emerging as new biologics for therapeutic innovation, as exemplified by their application recently in SARS-CoV-2 vaccinations. RNAs prepared by in vitro transcription (IVT) allow transient expression of proteins of interest, conferring safety over DNA- or virus-mediated gene delivery systems. However, in vitro-transcribed RNAs should be used with caution because of their immunogenicity, which is in part triggered by double-stranded RNA (dsRNA) byproducts during IVT. Cellular innate immune response to dsRNA byproducts can lead to undesirable consequences, including suppression of protein synthesis and cell death, which in turn can detrimentally impact the efficacy of mRNA therapy. Thus, it is critical to understand the nature of IVT byproducts and the mechanisms by which they trigger innate immune responses.Our lab has been investigating the mechanisms by which the innate immune system discriminates between "self" and "nonself" RNA, with the focus on the cytoplasmic dsRNA receptors retinoic acid-inducible gene I (RIG-I) and melanoma differentiation-associated 5 (MDA5). We have biochemically and structurally characterized critical events involving RNA discrimination and signal transduction by RIG-I or MDA5. We have used in vitro-transcribed RNAs as tools to investigate RNA specificity of RIG-I and MDA5, which required optimization of the IVT reaction and purification processes to eliminate the effect of IVT byproducts. In this Account, we summarize our current understanding of RIG-I and MDA5 and IVT reactions and propose future directions for improving IVT as a method to generate both research tools and therapeutics. Other critical proteins in cellular innate immune response to dsRNAs are also discussed. We arrange the contents in the following order: (i) innate immunity sensors for nonself RNA, including the RIG-I-like receptors (RLRs) in the cytosol and the toll-like receptors (TLRs) in the endosome, as well as cytoplasmic dsRNA-responding proteins, including protein kinase R (PKR) and 2',5'-oligoadenylate synthetases (OASes), illustrating the feature of protein-RNA binding and its consequences; (ii) the immunogenicity of IVT byproducts, specifically the generation of dsRNA molecules during IVT; and (iii) methods to reduce IVT RNA immunogenicity, including optimizations of RNA polymerases, reagents, and experimental conditions during IVT and subsequent purification.
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Affiliation(s)
- Xin Mu
- School of Pharmaceutical Science and Technology, Tianjin University, Tianjin 300072, China
- Tianjin University and Health-Biotech United Group Joint Laboratory of Innovative Drug Development and Translational Medicine, Tianjin University, Tianjin 300072, China
| | - Sun Hur
- Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, Massachusetts 02115, United States
- Program in Cellular and Molecular Medicine, Boston Children's Hospital, Boston, Massachusetts 02115, United States
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Wang JY, Zhang W, Roehrl MW, Roehrl VB, Roehrl MH. An Autoantigen Profile of Human A549 Lung Cells Reveals Viral and Host Etiologic Molecular Attributes of Autoimmunity in COVID-19. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2021:2021.02.21.432171. [PMID: 33655248 PMCID: PMC7924268 DOI: 10.1101/2021.02.21.432171] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
We aim to establish a comprehensive COVID-19 autoantigen atlas in order to understand autoimmune diseases caused by SARS-CoV-2 infection. Based on the unique affinity between dermatan sulfate and autoantigens, we identified 348 proteins from human lung A549 cells, of which 198 are known targets of autoantibodies. Comparison with current COVID data identified 291 proteins that are altered at protein or transcript level in SARS-CoV-2 infection, with 191 being known autoantigens. These known and putative autoantigens are significantly associated with viral replication and trafficking processes, including gene expression, ribonucleoprotein biogenesis, mRNA metabolism, translation, vesicle and vesicle-mediated transport, and apoptosis. They are also associated with cytoskeleton, platelet degranulation, IL-12 signaling, and smooth muscle contraction. Host proteins that interact with and that are perturbed by viral proteins are a major source of autoantigens. Orf3 induces the largest number of protein alterations, Orf9 affects the mitochondrial ribosome, and they and E, M, N, and Nsp proteins affect protein localization to membrane, immune responses, and apoptosis. Phosphorylation and ubiquitination alterations by viral infection define major molecular changes in autoantigen origination. This study provides a large list of autoantigens as well as new targets for future investigation, e.g., UBA1, UCHL1, USP7, CDK11A, PRKDC, PLD3, PSAT1, RAB1A, SLC2A1, platelet activating factor acetylhydrolase, and mitochondrial ribosomal proteins. This study illustrates how viral infection can modify host cellular proteins extensively, yield diverse autoantigens, and trigger a myriad of autoimmune sequelae.
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Affiliation(s)
| | - Wei Zhang
- Department of Gastroenterology, Affiliated Hospital of Guizhou Medical University, Guizhou, China
| | | | | | - Michael H. Roehrl
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, USA
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, USA
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3
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Abstract
mRNA is the central molecule of all forms of life. It is generally accepted that current life on Earth descended from an RNA world. mRNA, after its first therapeutic description in 1992, has recently come into increased focus as a method to deliver genetic information. The recent solution to the two main difficulties in using mRNA as a therapeutic, immune stimulation and potency, has provided the basis for a wide range of applications. While mRNA-based cancer immunotherapies have been in clinical trials for a few years, novel approaches; including, in vivo delivery of mRNA to replace or supplement proteins, mRNA-based generation of pluripotent stem cells, or genome engineering using mRNA-encoded meganucleases are beginning to be realized. This review presents the current state of mRNA drug technologies and potential applications, as well as discussing the challenges and prospects in mRNA development and drug discovery.
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Affiliation(s)
- Drew Weissman
- Department of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
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Sahin U, Karikó K, Türeci Ö. mRNA-based therapeutics--developing a new class of drugs. Nat Rev Drug Discov 2014; 13:759-80. [PMID: 25233993 DOI: 10.1038/nrd4278] [Citation(s) in RCA: 1537] [Impact Index Per Article: 139.7] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
In vitro transcribed (IVT) mRNA has recently come into focus as a potential new drug class to deliver genetic information. Such synthetic mRNA can be engineered to transiently express proteins by structurally resembling natural mRNA. Advances in addressing the inherent challenges of this drug class, particularly related to controlling the translational efficacy and immunogenicity of the IVTmRNA, provide the basis for a broad range of potential applications. mRNA-based cancer immunotherapies and infectious disease vaccines have entered clinical development. Meanwhile, emerging novel approaches include in vivo delivery of IVT mRNA to replace or supplement proteins, IVT mRNA-based generation of pluripotent stem cells and genome engineering using IVT mRNA-encoded designer nucleases. This Review provides a comprehensive overview of the current state of mRNA-based drug technologies and their applications, and discusses the key challenges and opportunities in developing these into a new class of drugs.
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Affiliation(s)
- Ugur Sahin
- 1] TRON Translational Oncology at the University Medical Center of the Johannes Gutenberg University, Langenbeckstrasse 1, 55131 Mainz, Germany. [2] BioNTech Corporation, An der Goldgrube 12, 55131 Mainz, Germany
| | - Katalin Karikó
- 1] BioNTech Corporation, An der Goldgrube 12, 55131 Mainz, Germany. [2] Department of Neurosurgery, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania 19104, USA
| | - Özlem Türeci
- TRON Translational Oncology at the University Medical Center of the Johannes Gutenberg University, Langenbeckstrasse 1, 55131 Mainz, Germany
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5
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Bobeck MJ, Glick GD. Role of conformational dynamics in sequence-specific autoantibody•ssDNA recognition. Biopolymers 2007; 85:481-9. [PMID: 17252586 DOI: 10.1002/bip.20692] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
11F8 is a sequence-specific monoclonal anti-ssDNA autoantibody isolated from a lupus prone mouse that forms pathogenic complexes with ssDNA, resulting in kidney damage. Prior studies show that specificity is mediated by a somatic mutation from serine at (31)V(H) to arginine. Reversion back to serine in 11F8 resulted in >30-fold decrease in affinity and altered thermodynamic and kinetic parameters for sequence-specific recognition of its cognate ssDNA ligand. Mutagenesis and structural studies suggest that (R31)V(H) contacts ssDNA via a salt bridge and a bidentate hydrogen bond and may further contribute to specificity by altering binding-site conformation. Fluorescence resonance energy transfer experiments were conducted to assess the kinetics of conformational change during 11F8*ssDNA association. The extent of rearrangement between the six complementary determining regions in the 11F8*ssDNA complex with germline serine or somatically mutated arginine at residue 31 of the heavy chain was examined. Our studies show that greater conformational change occurs in five of six complementarity determining regions after the heavy chain germline J558 sequence undergoes mutation to arginine at (31)V(H).
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Affiliation(s)
- Melissa J Bobeck
- Department of Chemistry, University of Michigan, Ann Arbor, MI 48109-1055, USA
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Baroni TE, Lastro MT, Ranganathan AC, Tenenbaum SA, Conklin DS, Aguirre-Ghiso JA. Ribonomic and short hairpin RNA gene silencing methods to explore functional gene programs associated with tumor growth arrest. Methods Mol Biol 2007; 383:227-44. [PMID: 18217689 PMCID: PMC2517179 DOI: 10.1007/978-1-59745-335-6_15] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/30/2025]
Abstract
In this chapter, we present an approach using genomic and ribonomic profiling to investigate functional gene programs in a tumor growth model. To reach this goal, ribonomic profiling was combined with RNA interference in a tumor dormancy model. Strategies merging functional genomic technologies are outlined for the identification of novel posttranscriptionally regulated targets of p38 to show that they are functionally linked to the induction or interruption of cellular growth in cancer. In the first section of this chapter, we describe a method for the detection of mRNA subsets associated with RNA-binding proteins such as hnRNP A1 using (1) immunopurification of mRNA-protein complexes, from either whole cell lysates or subcellular fractions and (2) gene expression arrays to find those mRNAs bound to hnRNP A1. In the second section, short hairpin RNA technology was used to create a library of shRNAs that target p38 induced mRNAs expression libraries are utilized to "knockdown" the genes identified in the first section. Finally, this library of gene candidates is evaluated in vivo to address their functional role in the induction or maintenance of dormancy.
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Affiliation(s)
- Timothy E Baroni
- Gen*NY*Sis Center for Excellence in Cancer Genomics, Department of Biomedical Sciences, School of Public Health, University of Albany, SUNY, Rensselaer, NY, USA
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Yang F, Chen IH, Xiong Z, Yan Y, Wang H, Yang XF. Model of stimulation-responsive splicing and strategies in identification of immunogenic isoforms of tumor antigens and autoantigens. Clin Immunol 2006; 121:121-33. [PMID: 16890493 DOI: 10.1016/j.clim.2006.06.007] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2006] [Revised: 06/13/2006] [Accepted: 06/15/2006] [Indexed: 01/03/2023]
Abstract
We recently proposed a novel model of stimulation-responsive splicing for the selection of autoantigens and self-tumor antigens. Our model theorizes that the significantly higher rates of alternative splicing of autoantigen and self-tumor antigen transcripts that occur in response to stimuli could induce extra-thymic expression of untolerized antigen epitopes for elicitation of autoimmune and anti-tumor responses. To facilitate the identification of immunogenic isoforms of antigens, we have developed strategies using improved SEREX in conjunction with database-mining and immunogenic isoform mapping. Identification of immunogenic isoforms of autoantigens and self-tumor antigens is very important for the development of novel therapeutics and diagnostic tools for autoimmune diseases and tumors, such as: (1) autoantigen isoform microarrays for disease diagnosis and prognosis; (2) autoantigen isoform-specific tolerizing vaccines and splicing-redirection therapies, as well as (3) immunogenic antigen isoform-specific immunotherapy for tumors.
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Affiliation(s)
- Fan Yang
- Department of Pharmacology, Temple University School of Medicine, 3420 North Broad Street, Medical Research Building, Suite 300, Philadelphia, PA 19140, USA.
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Penalva LOF, Keene JD. Biotinylated tags for recovery and characterization of ribonucleoprotein complexes. Biotechniques 2005; 37:604, 606, 608-10. [PMID: 15517973 DOI: 10.2144/04374st05] [Citation(s) in RCA: 26] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Determining the in vivo targets of RNA-binding proteins and characterizing the posttranscriptional networks in which they participate constitute major challenges in the post-genomic era. An important step in this direction is the development of methods that permit efficient recovery of ribonucleoprotein (RNP) complexes. We present an improved methodology for efficient isolation of mammalian cell RNPs in which a biotin acceptor peptide (BAP) is used to tag RNA-binding proteins. BAP-tagged RNA-binding proteins can be biotinylated in vivo by co-expression of the Escherichia coli BirA enzyme. RNP recovery was obtained using streptavidin sepharose beads, and messenger RNAs (mRNAs) were identified using multiprobe RNase protection assays and cDNA microarrays. Using this approach we efficiently recovered and quantified RNAs bound to cytoplasmic poly(A)-binding protein (PABP) and to nuclear human transformer 2 (hTra-2) with minimal background.
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Süleymanoĝlu E. Molecular phylogenetics and functional evolution of major RNA recognition domains of recently cloned and characterized autoimmune RNA-binding particle. GENOMICS PROTEOMICS & BIOINFORMATICS 2005; 1:310-20. [PMID: 15629060 PMCID: PMC5172410 DOI: 10.1016/s1672-0229(03)01037-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Heterogeneous nuclear ribonucleoproteins (hnRNPs) are spliceosomal macromolecular assemblages and thus actively participate in pre-mRNA metabolism. They are composed of evolutionarily conserved and tandemly repeated motifs, where both RNA-binding and protein-protein recognition occur to achieve cellular activities. By yet unknown mechanisms, these ribonucleoprotein (RNP) particles are targeted by autoantibodies and hence play significant role in a variety of human systemic autoimmune diseases. This feature makes them important prognostic markers in terms of molecular epidemiology and pathogenesis of autoimmunity. Since RNP domain is one of the most conserved and widespread scaffolds, evolutionary analyses of these RNA-binding domains can provide further clues on disease-specific epitope formation. The study presented herein represents a sequence comparison of RNA-recognition regions of recently cloned and characterized human hnRNP A3 with those of other relevant hnRNP A/B-type proteins. Their implications in human autoimmunity are particularly emphasized.
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Affiliation(s)
- Erhan Süleymanoĝlu
- Medical Faculty, Vienna Biocenter, Institute of Biochemistry, University of Vienna, Vienna, Austria.
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Tenenbaum SA, Carson CC, Atasoy U, Keene JD. Genome-wide regulatory analysis using en masse nuclear run-ons emRUNs and ribonomic profiling with autoimmune sera. Gene 2003; 317:79-87. [PMID: 14604794 DOI: 10.1016/s0378-1119(03)00661-9] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
Coordinated gene expression is influenced by transcriptional and posttranscriptional events and is necessary for efficient cell growth and differentiation. Genomic array technologies have afforded great advances in identifying global changes of gene expression in response to a variety of environmental stimuli. However, it has been a challenge to assess whether a concomitant effect on protein expression reflects the coordinated regulation of distinct subsets of mRNAs detected by cDNA arrays [Proc. Natl. Acad. Sci. U. S. A. 98 (2001) 7018]. We have expanded the utility of cDNA arrays by using them to assist in elucidating combinatorial posttranscriptional eukaryotic operons [Mol. Cell 9 (2002) 1161]. In this study, we have used two mRNA partitioning methods in which: (1) subsets of mRNAs are isolated as endogenous mRNP complexes using autoimmune patient sera, and (2) transcriptional contributions to gene expression are assessed using cDNA array analysis of an en masse nuclear run-on assay (emRUN). The combination of these methods can provide an additional 'systems biology' discovery approach to gene expression analysis based upon the physical partitioning of mRNA subsets, as well as a functional partitioning of transcriptional and posttranscriptional processes. We demonstrate how these approaches can reduce transcriptomic complexity by partitioning mRNAs into biologically relevant subsets in order to derive information about the expression of multiple, but functionally linked, genes.
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Affiliation(s)
- Scott A Tenenbaum
- Center for RNA Biology, Department of Molecular Genetics and Microbiology, Duke University Medical Center, Durham, NC 27710, USA
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