1
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See WR, Yousefi M, Ooi YS. A review of virus host factor discovery using CRISPR screening. mBio 2024:e0320523. [PMID: 39422472 DOI: 10.1128/mbio.03205-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2024] Open
Abstract
The emergence of genome-scale forward genetic screening techniques, such as Haploid Genetic screen and clustered regularly interspaced short palindromic repeats (CRISPR) knockout screen has opened new horizons in our understanding of virus infection biology. CRISPR screening has become a popular tool for the discovery of novel host factors for several viruses due to its specificity and efficiency in genome editing. Here, we review how CRISPR screening has revolutionized our understanding of virus-host interactions from scientific and technological viewpoints. A summary of the published screens conducted thus far to uncover virus host factors is presented, highlighting their experimental design and significant findings. We will outline relevant methods for customizing the CRISPR screening process to answer more specific hypotheses and compile a glossary of conducted CRISPR screens to show their design aspects. Furthermore, using flaviviruses and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) as examples, we hope to offer a broad-based perspective on the capabilities of CRISPR screening to serve as a reference point to guide future unbiased discovery of virus host factors.
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Affiliation(s)
- Wayne Ren See
- Program in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore, Singapore
| | - Meisam Yousefi
- Program in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore, Singapore
| | - Yaw Shin Ooi
- Program in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore, Singapore
- Infectious Diseases Labs (A*STAR ID Labs), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
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2
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Harvey DJ. Analysis of carbohydrates and glycoconjugates by matrix-assisted laser desorption/ionization mass spectrometry: An update for 2021-2022. MASS SPECTROMETRY REVIEWS 2024. [PMID: 38925550 DOI: 10.1002/mas.21873] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Revised: 02/05/2024] [Accepted: 02/12/2024] [Indexed: 06/28/2024]
Abstract
The use of matrix-assisted laser desorption/ionization (MALDI) mass spectrometry for the analysis of carbohydrates and glycoconjugates is a well-established technique and this review is the 12th update of the original article published in 1999 and brings coverage of the literature to the end of 2022. As with previous review, this review also includes a few papers that describe methods appropriate to analysis by MALDI, such as sample preparation, even though the ionization method is not MALDI. The review follows the same format as previous reviews. It is divided into three sections: (1) general aspects such as theory of the MALDI process, matrices, derivatization, MALDI imaging, fragmentation, quantification and the use of computer software for structural identification. (2) Applications to various structural types such as oligo- and polysaccharides, glycoproteins, glycolipids, glycosides and biopharmaceuticals, and (3) other general areas such as medicine, industrial processes, natural products and glycan synthesis where MALDI is extensively used. Much of the material relating to applications is presented in tabular form. MALDI is still an ideal technique for carbohydrate analysis, particularly in its ability to produce single ions from each analyte and advancements in the technique and range of applications show little sign of diminishing.
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3
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Maes A, Botzki A, Mathys J, Impens F, Saelens X. Systematic review and meta-analysis of genome-wide pooled CRISPR screens to identify host factors involved in influenza A virus infection. J Virol 2024; 98:e0185723. [PMID: 38567969 PMCID: PMC11257101 DOI: 10.1128/jvi.01857-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Accepted: 03/14/2024] [Indexed: 05/15/2024] Open
Abstract
The host-virus interactome is increasingly recognized as an important research field to discover new therapeutic targets to treat influenza. Multiple pooled genome-wide CRISPR-Cas screens have been reported to identify new pro- and antiviral host factors of the influenza A virus. However, at present, a comprehensive summary of the results is lacking. We performed a systematic review of all reported CRISPR studies in this field in combination with a meta-analysis using the algorithm of meta-analysis by information content (MAIC). Two ranked gene lists were generated based on evidence in 15 proviral and 4 antiviral screens. Enriched pathways in the proviral MAIC results were compared to those of a prior array-based RNA interference (RNAi) meta-analysis. The top 50 proviral MAIC list contained genes whose role requires further elucidation, such as the endosomal ion channel TPCN1 and the kinase WEE1. Moreover, MAIC indicated that ALYREF, a component of the transcription export complex, has antiviral properties, whereas former knockdown experiments attributed a proviral role to this host factor. CRISPR-Cas-pooled screens displayed a bias toward early-replication events, whereas the prior RNAi meta-analysis covered early and late-stage events. RNAi screens led to the identification of a larger fraction of essential genes than CRISPR screens. In summary, the MAIC algorithm points toward the importance of several less well-known pathways in host-influenza virus interactions that merit further investigation. The results from this meta-analysis of CRISPR screens in influenza A virus infection may help guide future research efforts to develop host-directed anti-influenza drugs. IMPORTANCE Viruses rely on host factors for their replication, whereas the host cell has evolved virus restriction factors. These factors represent potential targets for host-oriented antiviral therapies. Multiple pooled genome-wide CRISPR-Cas screens have been reported to identify pro- and antiviral host factors in the context of influenza virus infection. We performed a comprehensive analysis of the outcome of these screens based on the publicly available gene lists, using the recently developed algorithm meta-analysis by information content (MAIC). MAIC allows the systematic integration of ranked and unranked gene lists into a final ranked gene list. This approach highlighted poorly characterized host factors and pathways with evidence from multiple screens, such as the vesicle docking and lipid metabolism pathways, which merit further exploration.
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Affiliation(s)
- Annabel Maes
- VIB Center for Medical Biotechnology, VIB, Ghent, Belgium
- Department of Biochemistry and Microbiology, Ghent University, Ghent, Belgium
- Janssen Pharmaceutica NV, Beerse, Belgium
| | | | | | - Francis Impens
- VIB Center for Medical Biotechnology, VIB, Ghent, Belgium
- Department of Biomolecular Medicine, Ghent University, Ghent, Belgium
- VIB Proteomics Core, VIB, Ghent, Belgium
| | - Xavier Saelens
- VIB Center for Medical Biotechnology, VIB, Ghent, Belgium
- Department of Biochemistry and Microbiology, Ghent University, Ghent, Belgium
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4
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Luo Z, Miranda HA, Burke KN, Spurrier MA, Berry M, Stover EL, Spreng RL, Waitt G, Soderblom EJ, Macintyre AN, Wiehe K, Heaton NS. Vaccination with antigenically complex hemagglutinin mixtures confers broad protection from influenza disease. Sci Transl Med 2024; 16:eadj4685. [PMID: 38691617 DOI: 10.1126/scitranslmed.adj4685] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Accepted: 03/06/2024] [Indexed: 05/03/2024]
Abstract
Current seasonal influenza virus vaccines induce responses primarily against immunodominant but highly plastic epitopes in the globular head of the hemagglutinin (HA) glycoprotein. Because of viral antigenic drift at these sites, vaccines need to be updated and readministered annually. To increase the breadth of influenza vaccine-mediated protection, we developed an antigenically complex mixture of recombinant HAs designed to redirect immune responses to more conserved domains of the protein. Vaccine-induced antibodies were disproportionally redistributed to the more conserved stalk of the HA without hindering, and in some cases improving, antibody responses against the head domain. These improved responses led to increased protection against homologous and heterologous viral challenges in both mice and ferrets compared with conventional vaccine approaches. Thus, antigenically complex protein mixtures can at least partially overcome HA head domain antigenic immunodominance and may represent a step toward a more universal influenza vaccine.
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Affiliation(s)
- Zhaochen Luo
- Department of Molecular Genetics and Microbiology, Duke University School of Medicine, Durham, NC 27710, USA
| | - Hector A Miranda
- Department of Molecular Genetics and Microbiology, Duke University School of Medicine, Durham, NC 27710, USA
| | - Kaitlyn N Burke
- Department of Molecular Genetics and Microbiology, Duke University School of Medicine, Durham, NC 27710, USA
| | - M Ariel Spurrier
- Department of Molecular Genetics and Microbiology, Duke University School of Medicine, Durham, NC 27710, USA
| | - Madison Berry
- Duke Human Vaccine Institute, Duke University School of Medicine, Durham, NC 27710, USA
| | - Erica L Stover
- Duke Human Vaccine Institute, Duke University School of Medicine, Durham, NC 27710, USA
| | - Rachel L Spreng
- Duke Human Vaccine Institute, Duke University School of Medicine, Durham, NC 27710, USA
| | - Greg Waitt
- Proteomics and Metabolomics Core Facility, Duke University School of Medicine, Durham, NC 27710, USA
| | - Erik J Soderblom
- Proteomics and Metabolomics Core Facility, Duke University School of Medicine, Durham, NC 27710, USA
| | - Andrew N Macintyre
- Duke Human Vaccine Institute, Duke University School of Medicine, Durham, NC 27710, USA
- Duke Department of Medicine, Duke University School of Medicine, Durham, NC 27710, USA
| | - Kevin Wiehe
- Duke Human Vaccine Institute, Duke University School of Medicine, Durham, NC 27710, USA
- Duke Department of Medicine, Duke University School of Medicine, Durham, NC 27710, USA
| | - Nicholas S Heaton
- Department of Molecular Genetics and Microbiology, Duke University School of Medicine, Durham, NC 27710, USA
- Duke Human Vaccine Institute, Duke University School of Medicine, Durham, NC 27710, USA
- Duke Cancer Institute, Duke University School of Medicine, Durham, NC 27710, USA
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5
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Zhang P, Niemelä E, López Cerdá S, Sorvisto P, Virtanen J, Santos HA. Host-Directed Virus-Mimicking Particles Interacting with the ACE2 Receptor Competitively Block Coronavirus SARS-CoV-2 Entry. NANO LETTERS 2024; 24:4064-4071. [PMID: 38466130 PMCID: PMC11010226 DOI: 10.1021/acs.nanolett.3c04430] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Revised: 03/05/2024] [Accepted: 03/06/2024] [Indexed: 03/12/2024]
Abstract
Herein, we fabricate host-directed virus-mimicking particles (VMPs) to block the entry of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) into host cells through competitive inhibition enabled by their interactions with the angiotensin-converting enzyme 2 (ACE2) receptor. A microfluidic platform is developed to fabricate a lipid core of the VMPs with a narrow size distribution and a low level of batch-to-batch variation. The resultant solid lipid nanoparticles are decorated with an average of 231 or 444 Spike S1 RBD protrusions mimicking either the original SARS-CoV-2 or its delta variant, respectively. Compared with that of the nonfunctionalized core, the cell uptake of the functionalized VMPs is enhanced with ACE2-expressing cells due to their strong interactions with the ACE2 receptor. The fabricated VMPs efficiently block the entry of SARS-CoV-2 pseudovirions into host cells and suppress viral infection. Overall, this study provides potential strategies for preventing the spread of SARS-CoV-2 or other coronaviruses employing the ACE2 receptor to enter into host cells.
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Affiliation(s)
- Pei Zhang
- Drug
Research Program, Division of Pharmaceutical Chemistry and Technology,
Faculty of Pharmacy, University of Helsinki, Helsinki 00014, Finland
- Finncure
Oy, Lars Sonckin Kaari
14, Espoo 02600, Finland
| | - Erik Niemelä
- Finncure
Oy, Lars Sonckin Kaari
14, Espoo 02600, Finland
| | - Sandra López Cerdá
- Drug
Research Program, Division of Pharmaceutical Chemistry and Technology,
Faculty of Pharmacy, University of Helsinki, Helsinki 00014, Finland
| | - Pasi Sorvisto
- Finncure
Oy, Lars Sonckin Kaari
14, Espoo 02600, Finland
| | - Jani Virtanen
- Finncure
Oy, Lars Sonckin Kaari
14, Espoo 02600, Finland
| | - Hélder A. Santos
- Drug
Research Program, Division of Pharmaceutical Chemistry and Technology,
Faculty of Pharmacy, University of Helsinki, Helsinki 00014, Finland
- Department
of Biomaterials and Biomedical Technology, University Medical Center Groningen, University of Groningen, Ant. Deusinglaan 1, 9713 AV Groningen, The Netherlands
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6
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Munir M, Embry A, Doench JG, Heaton NS, Wilen CB, Orchard RC. Genome-wide CRISPR activation screen identifies JADE3 as an antiviral activator of NF-kB-dependent IFITM3 expression. J Biol Chem 2024; 300:107153. [PMID: 38462163 PMCID: PMC11001640 DOI: 10.1016/j.jbc.2024.107153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Revised: 02/29/2024] [Accepted: 03/05/2024] [Indexed: 03/12/2024] Open
Abstract
The innate immune system features a web of interacting pathways that require exquisite regulation. To identify novel nodes in this immune landscape, we conducted a gain-of-function, genome-wide CRISPR activation screen with influenza A virus. We identified both appreciated and novel antiviral genes, including Jade family PHD zinc finger 3 (JADE3) a protein involved in directing the histone acetyltransferase histone acetyltransferase binding to ORC1 complex to modify chromatin and regulate transcription. JADE3 is both necessary and sufficient to restrict influenza A virus infection. Our results suggest a distinct function for JADE3 as expression of the closely related paralogs JADE1 and JADE2 does not confer resistance to influenza A virus infection. JADE3 is required for both constitutive and inducible expression of the well-characterized antiviral gene interferon-induced transmembrane protein 3 (IFITM3). Furthermore, we find JADE3 activates the NF-kB signaling pathway, which is required for the promotion of IFITM3 expression by JADE3. Therefore, we propose JADE3 activates an antiviral genetic program involving NF-kB-dependent IFITM3 expression to restrict influenza A virus infection.
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Affiliation(s)
- Moiz Munir
- Departments of Immunology and Microbiology, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Aaron Embry
- Departments of Immunology and Microbiology, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - John G Doench
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
| | - Nicholas S Heaton
- Department of Molecular Genetics and Microbiology, Duke University School of Medicine, Durham, North Carolina, USA
| | - Craig B Wilen
- Department of Laboratory Medicine and Immunobiology, Yale School of Medicine, New Haven, Connecticut, USA
| | - Robert C Orchard
- Departments of Immunology and Microbiology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
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7
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Li Y, Wang H, Chen Y, Ding L, Ju H. In Situ Glycan Analysis and Editing in Living Systems. JACS AU 2024; 4:384-401. [PMID: 38425935 PMCID: PMC10900212 DOI: 10.1021/jacsau.3c00717] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Revised: 12/15/2023] [Accepted: 12/19/2023] [Indexed: 03/02/2024]
Abstract
Besides proteins and nucleic acids, carbohydrates are also ubiquitous building blocks of living systems. Approximately 70% of mammalian proteins are glycosylated. Glycans not only provide structural support for living systems but also act as crucial regulators of cellular functions. As a result, they are considered essential pieces of the life science puzzle. However, research on glycans has lagged far behind that on proteins and nucleic acids. The main reason is that glycans are not direct products of gene coding, and their synthesis is nontemplated. In addition, the diversity of monosaccharide species and their linkage patterns contribute to the complexity of the glycan structures, which is the molecular basis for their diverse functions. Research in glycobiology is extremely challenging, especially for the in situ elucidation of glycan structures and functions. There is an urgent need to develop highly specific glycan labeling tools and imaging methods and devise glycan editing strategies. This Perspective focuses on the challenges of in situ analysis of glycans in living systems at three spatial levels (i.e., cell, tissue, and in vivo) and highlights recent advances and directions in glycan labeling, imaging, and editing tools. We believe that examining the current development landscape and the existing bottlenecks can drive the evolution of in situ glycan analysis and intervention strategies and provide glycan-based insights for clinical diagnosis and therapeutics.
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Affiliation(s)
- Yiran Li
- State
Key Laboratory of Analytical Chemistry for Life Science, School of
Chemistry and Chemical Engineering, Nanjing
University, Nanjing 210023, China
| | - Haiqi Wang
- State
Key Laboratory of Analytical Chemistry for Life Science, School of
Chemistry and Chemical Engineering, Nanjing
University, Nanjing 210023, China
| | - Yunlong Chen
- State
Key Laboratory of Analytical Chemistry for Life Science, School of
Chemistry and Chemical Engineering, Nanjing
University, Nanjing 210023, China
| | - Lin Ding
- State
Key Laboratory of Analytical Chemistry for Life Science, School of
Chemistry and Chemical Engineering, Nanjing
University, Nanjing 210023, China
- Chemistry
and Biomedicine Innovation Center (ChemBIC), Nanjing University, Nanjing 210023, China
| | - Huangxian Ju
- State
Key Laboratory of Analytical Chemistry for Life Science, School of
Chemistry and Chemical Engineering, Nanjing
University, Nanjing 210023, China
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8
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Husain M. Influenza Virus Host Restriction Factors: The ISGs and Non-ISGs. Pathogens 2024; 13:127. [PMID: 38392865 PMCID: PMC10893265 DOI: 10.3390/pathogens13020127] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Revised: 01/18/2024] [Accepted: 01/26/2024] [Indexed: 02/25/2024] Open
Abstract
Influenza virus has been one of the most prevalent and researched viruses globally. Consequently, there is ample information available about influenza virus lifecycle and pathogenesis. However, there is plenty yet to be known about the determinants of influenza virus pathogenesis and disease severity. Influenza virus exploits host factors to promote each step of its lifecycle. In turn, the host deploys antiviral or restriction factors that inhibit or restrict the influenza virus lifecycle at each of those steps. Two broad categories of host restriction factors can exist in virus-infected cells: (1) encoded by the interferon-stimulated genes (ISGs) and (2) encoded by the constitutively expressed genes that are not stimulated by interferons (non-ISGs). There are hundreds of ISGs known, and many, e.g., Mx, IFITMs, and TRIMs, have been characterized to restrict influenza virus infection at different stages of its lifecycle by (1) blocking viral entry or progeny release, (2) sequestering or degrading viral components and interfering with viral synthesis and assembly, or (3) bolstering host innate defenses. Also, many non-ISGs, e.g., cyclophilins, ncRNAs, and HDACs, have been identified and characterized to restrict influenza virus infection at different lifecycle stages by similar mechanisms. This review provides an overview of those ISGs and non-ISGs and how the influenza virus escapes the restriction imposed by them and aims to improve our understanding of the host restriction mechanisms of the influenza virus.
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Affiliation(s)
- Matloob Husain
- Department of Microbiology and Immunology, University of Otago, P.O. Box 56, Dunedin 9054, New Zealand
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9
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Munir M, Embry A, Doench JG, Heaton NS, Wilen CB, Orchard RC. Genome-wide CRISPR activation screen identifies JADE3 as an antiviral activator of NF-kB. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.09.29.560128. [PMID: 37808733 PMCID: PMC10557722 DOI: 10.1101/2023.09.29.560128] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/10/2023]
Abstract
The innate immune system features a web of interacting pathways that require exquisite regulation. To identify novel nodes in this immune landscape we conducted a gain of function, genome-wide CRISPR activation screen with influenza A virus. We identified both appreciated and novel antiviral genes, including JADE3 a protein involved in directing the histone acetyltransferase HBO1 complex to modify chromatin and regulate transcription. JADE3 is both necessary and sufficient to restrict influenza A virus infection. Interestingly, expression of the closely related paralogues JADE1 and JADE2 are unable to restrict influenza A virus infection, suggesting a distinct function of JADE3. We identify both shared and unique transcriptional signatures between uninfected cells expressing JADE3 and JADE2. These data provide a framework for understanding the overlapping and distinct functions of the JADE family of paralogues. Specifically, we find that JADE3 expression activates the NF-kB signaling pathway, consistent with an antiviral function. Therefore, we propose JADE3, but not JADE1 or JADE2, activates an antiviral genetic program involving the NF-kB pathway to restrict influenza A virus infection.
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Affiliation(s)
- Moiz Munir
- Departments of Immunology and Microbiology, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Aaron Embry
- Departments of Immunology and Microbiology, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - John G. Doench
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
| | - Nicholas S. Heaton
- Department of Molecular Genetics and Microbiology, Duke University School of Medicine, Durham, NC, USA
| | - Craig B. Wilen
- Departments of Laboratory Medicine and Immunobiology, Yale School of Medicine, New Haven, CT, USA
| | - Robert C. Orchard
- Departments of Immunology and Microbiology, University of Texas Southwestern Medical Center, Dallas, TX, USA
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10
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King CR, Liu Y, Amato KA, Schaack GA, Mickelson C, Sanders AE, Hu T, Gupta S, Langlois RA, Smith JA, Mehle A. Pathogen-driven CRISPR screens identify TREX1 as a regulator of DNA self-sensing during influenza virus infection. Cell Host Microbe 2023; 31:1552-1567.e8. [PMID: 37652009 PMCID: PMC10528757 DOI: 10.1016/j.chom.2023.08.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Revised: 06/26/2023] [Accepted: 08/03/2023] [Indexed: 09/02/2023]
Abstract
Host:pathogen interactions dictate the outcome of infection, yet the limitations of current approaches leave large regions of this interface unexplored. Here, we develop a novel fitness-based screen that queries factors important during the middle to late stages of infection. This is achieved by engineering influenza virus to direct the screen by programming dCas9 to modulate host gene expression. Our genome-wide screen for pro-viral factors identifies the cytoplasmic DNA exonuclease TREX1. TREX1 degrades cytoplasmic DNA to prevent inappropriate innate immune activation by self-DNA. We reveal that this same process aids influenza virus replication. Infection triggers release of mitochondrial DNA into the cytoplasm, activating antiviral signaling via cGAS and STING. TREX1 metabolizes the DNA, preventing its sensing. Collectively, these data show that self-DNA is deployed to amplify innate immunity, a process tempered by TREX1. Moreover, they demonstrate the power and generality of pathogen-driven fitness-based screens to pinpoint key host regulators of infection.
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Affiliation(s)
- Cason R King
- Department of Medical Microbiology & Immunology, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Yiping Liu
- Department of Pediatrics, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Katherine A Amato
- Department of Medical Microbiology & Immunology, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Grace A Schaack
- Department of Medical Microbiology & Immunology, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Clayton Mickelson
- Department of Microbiology and Immunology and the Center for Immunology, University of Minnesota, Minneapolis, MN, USA
| | - Autumn E Sanders
- Department of Microbiology and Immunology and the Center for Immunology, University of Minnesota, Minneapolis, MN, USA
| | - Tony Hu
- Department of Pediatrics, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Srishti Gupta
- Department of Medical Microbiology & Immunology, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Ryan A Langlois
- Department of Microbiology and Immunology and the Center for Immunology, University of Minnesota, Minneapolis, MN, USA
| | - Judith A Smith
- Department of Medical Microbiology & Immunology, University of Wisconsin-Madison, Madison, WI 53706, USA; Department of Pediatrics, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Andrew Mehle
- Department of Medical Microbiology & Immunology, University of Wisconsin-Madison, Madison, WI 53706, USA.
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11
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Amgalan B, Day CP, Przytycka TM. Exploring tumor-normal cross-talk with TranNet: Role of the environment in tumor progression. PLoS Comput Biol 2023; 19:e1011472. [PMID: 37721939 PMCID: PMC10538798 DOI: 10.1371/journal.pcbi.1011472] [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] [Received: 07/11/2023] [Revised: 09/28/2023] [Accepted: 08/23/2023] [Indexed: 09/20/2023] Open
Abstract
There is a growing awareness that tumor-adjacent normal tissues used as control samples in cancer studies do not represent fully healthy tissues. Instead, they are intermediates between healthy tissues and tumors. The factors that contribute to the deviation of such control samples from healthy state include exposure to the tumor-promoting factors, tumor-related immune response, and other aspects of tumor microenvironment. Characterizing the relation between gene expression of tumor-adjacent control samples and tumors is fundamental for understanding roles of microenvironment in tumor initiation and progression, as well as for identification of diagnostic and prognostic biomarkers for cancers. To address the demand, we developed and validated TranNet, a computational approach that utilizes gene expression in matched control and tumor samples to study the relation between their gene expression profiles. TranNet infers a sparse weighted bipartite graph from gene expression profiles of matched control samples to tumors. The results allow us to identify predictors (potential regulators) of this transition. To our knowledge, TranNet is the first computational method to infer such dependencies. We applied TranNet to the data of several cancer types and their matched control samples from The Cancer Genome Atlas (TCGA). Many predictors identified by TranNet are genes associated with regulation by the tumor microenvironment as they are enriched in G-protein coupled receptor signaling, cell-to-cell communication, immune processes, and cell adhesion. Correspondingly, targets of inferred predictors are enriched in pathways related to tissue remodelling (including the epithelial-mesenchymal Transition (EMT)), immune response, and cell proliferation. This implies that the predictors are markers and potential stromal facilitators of tumor progression. Our results provide new insights into the relationships between tumor adjacent control sample, tumor and the tumor environment. Moreover, the set of predictors identified by TranNet will provide a valuable resource for future investigations.
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Affiliation(s)
- Bayarbaatar Amgalan
- National Center for Biotechnology Information/National Library of Medicine, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Chi-Ping Day
- Laboratory of Cancer Biology and Genetics/Center for Cancer Research/National Cancer Institute, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Teresa M. Przytycka
- National Center for Biotechnology Information/National Library of Medicine, National Institutes of Health, Bethesda, Maryland, United States of America
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12
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Amgalan B, Day CP, Przytycka TM. Exploring tumor-normal cross-talk with TranNet: role of the environment in tumor progression. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.02.24.529899. [PMID: 36945455 PMCID: PMC10028821 DOI: 10.1101/2023.02.24.529899] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/27/2023]
Abstract
There is a growing awareness that tumor-adjacent normal tissues used as control samples in cancer studies do not represent fully healthy tissues. Instead, they are intermediates between healthy tissues and tumors. The factors that contribute to the deviation of such control samples from healthy state include exposure to the tumor-promoting factors, tumor-related immune response, and other aspects of tumor microenvironment. Characterizing the relation between gene expression of tumor-adjacent control samples and tumors is fundamental for understanding roles of microenvironment in tumor initiation and progression, as well as for identification of diagnostic and prognostic biomarkers for cancers. To address the demand, we developed and validated TranNet, a computational approach that utilizes gene expression in matched control and tumor samples to study the relation between their gene expression profiles. TranNet infers a sparse weighted bipartite graph from gene expression profiles of matched control samples to tumors. The results allow us to identify predictors (potential regulators) of this transition. To our knowledge, TranNet is the first computational method to infer such regulation. We applied TranNet to the data of several cancer types and their matched control samples from The Cancer Genome Atlas (TCGA). Many predictors identified by TranNet are genes associated with regulation by the tumor microenvironment as they are enriched in G-protein coupled receptor signaling, cell-to-cell communication, immune processes, and cell adhesion. Correspondingly, targets of inferred predictors are enriched in pathways related to tissue remodelling (including the epithelial-mesenchymal Transition (EMT)), immune response, and cell proliferation. This implies that the predictors are markers and potential stromal facilitators of tumor progression. Our results provide new insights for the relationships between tumor adjacent control sample, tumor and the tumor environment. Moreover, the set of predictors identified by TranNet will provide a valuable resource for future investigations. The TranNet method was implemented in python, source codes and the data sets used for and generated during this study are available at the Github site https://github.com/ncbi/TranNet .
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Affiliation(s)
- Bayarbaatar Amgalan
- National Center for Biotechnology Information, National Library of Medicine, NIH, Bethesda, Maryland, USA
| | - Chi-Ping Day
- Laboratory of Cancer Biology and Genetics, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, Maryland, USA
| | - Teresa M. Przytycka
- National Center for Biotechnology Information, National Library of Medicine, NIH, Bethesda, Maryland, USA
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King CR, Liu Y, Amato KA, Schaack GA, Hu T, Smith JA, Mehle A. Pathogen-driven CRISPR screens identify TREX1 as a regulator of DNA self-sensing during influenza virus infection. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.02.07.527556. [PMID: 36798235 PMCID: PMC9934597 DOI: 10.1101/2023.02.07.527556] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/10/2023]
Abstract
Intracellular pathogens interact with host factors, exploiting those that enhance replication while countering those that suppress it. Genetic screens have begun to define the host:pathogen interface and establish a mechanistic basis for host-directed therapies. Yet, limitations of current approaches leave large regions of this interface unexplored. To uncover host factors with pro-pathogen functions, we developed a novel fitness-based screen that queries factors important during the middle-to-late stages of infection. This was achieved by engineering influenza virus to direct the screen by programing dCas9 to modulate host gene expression. A genome-wide screen identified the cytoplasmic DNA exonuclease TREX1 as a potent pro-viral factor. TREX1 normally degrades cytoplasmic DNA to prevent inappropriate innate immune activation by self DNA. Our mechanistic studies revealed that this same process functions during influenza virus infection to enhance replication. Infection triggered release of mitochondrial DNA into the cytoplasm, activating antiviral signaling via cGAS and STING. TREX1 metabolized the mitochondrial DNA preventing its sensing. Collectively, these data show that self-DNA is deployed to amplify host innate sensing during RNA virus infection, a process tempered by TREX1. Moreover, they demonstrate the power and generality of pathogen driven fitness-based screens to pinpoint key host regulators of intracellular pathogens.
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Affiliation(s)
- Cason R. King
- Department of Medical Microbiology & Immunology, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Yiping Liu
- Department of Pediatrics, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Katherine A. Amato
- Department of Medical Microbiology & Immunology, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Grace A. Schaack
- Department of Medical Microbiology & Immunology, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Tony Hu
- Department of Pediatrics, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Judith A Smith
- Department of Medical Microbiology & Immunology, University of Wisconsin-Madison, Madison, WI 53706, USA
- Department of Pediatrics, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Andrew Mehle
- Department of Medical Microbiology & Immunology, University of Wisconsin-Madison, Madison, WI 53706, USA
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