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      MicroRNA-focused CRISPR/Cas9 screen identifies miR-142 as a key regulator of Epstein-Barr virus reactivation

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          Abstract

          Reactivation from latency plays a significant role in maintaining persistent lifelong Epstein-Barr virus (EBV) infection. Mechanisms governing successful activation and progression of the EBV lytic phase are not fully understood. EBV expresses multiple viral microRNAs (miRNAs) and manipulates several cellular miRNAs to support viral infection. To gain insight into the host miRNAs regulating transitions from EBV latency into the lytic stage, we conducted a CRISPR/Cas9-based screen in EBV+ Burkitt lymphoma (BL) cells using anti-Ig antibodies to crosslink the B cell receptor (BCR) and induce reactivation. Using a gRNA library against >1500 annotated human miRNAs, we identified miR-142 as a key regulator of EBV reactivation. Genetic ablation of miR-142 enhanced levels of immediate early and early lytic gene products in infected BL cells. Ago2-PAR-CLIP experiments with reactivated cells revealed miR-142 targets related to Erk/MAPK signaling, including components directly downstream of the B cell receptor (BCR). Consistent with these findings, disruption of miR-142 enhanced SOS1 levels and Mek phosphorylation in response to surface Ig cross-linking. Effects could be rescued by inhibitors of Mek (cobimetinib) or Raf (dabrafenib). Taken together, these results show that miR-142 functionally regulates SOS1/Ras/Raf/Mek/Erk signaling initiated through the BCR and consequently, restricts EBV entry into the lytic cycle.

          Author summary

          Epstein-Barr virus (EBV) is a common herpesvirus that infects most individuals worldwide and can persist in the body for life. Long-term viral persistence is established in part through latently infected memory B cells and periodic reactivation events which maintain viral reservoirs. To investigate functional roles for host non-coding RNAs in EBV latency and reactivation—specifically microRNAs—we conducted a genome-wide CRISPR screen in EBV-positive Burkitt’s lymphoma (BL) cells. By screening >1500 human miRNAs, we identified miR-142 as a potent regulator of the lytic cycle. When miR-142 was disrupted, latently infected BL cells responded rapidly to external reactivation triggers and exhibited significantly elevated levels of lytic viral proteins. Through mechanistic studies, we found that miR-142 regulates cell signaling pathways such as the Ras/Raf/Mek/Erk pathway and can target SOS1 encoding a Ras guanine nucleotide exchange factor. Heightened EBV reactivation in miR-142 mutant cells could be reversed using chemical inhibitors to Raf, Mek, or Sos1. These findings provide novel insight into the role of miR-142 in the EBV life cycle and further unveil potential for inhibiting Sos1 as a means to suppress EBV reactivation.

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          The Sequence Alignment/Map format and SAMtools

          Summary: The Sequence Alignment/Map (SAM) format is a generic alignment format for storing read alignments against reference sequences, supporting short and long reads (up to 128 Mbp) produced by different sequencing platforms. It is flexible in style, compact in size, efficient in random access and is the format in which alignments from the 1000 Genomes Project are released. SAMtools implements various utilities for post-processing alignments in the SAM format, such as indexing, variant caller and alignment viewer, and thus provides universal tools for processing read alignments. Availability: http://samtools.sourceforge.net Contact: rd@sanger.ac.uk
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            Fast gapped-read alignment with Bowtie 2.

            As the rate of sequencing increases, greater throughput is demanded from read aligners. The full-text minute index is often used to make alignment very fast and memory-efficient, but the approach is ill-suited to finding longer, gapped alignments. Bowtie 2 combines the strengths of the full-text minute index with the flexibility and speed of hardware-accelerated dynamic programming algorithms to achieve a combination of high speed, sensitivity and accuracy.
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              Cutadapt removes adapter sequences from high-throughput sequencing reads

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                Author and article information

                Contributors
                Role: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: ValidationRole: VisualizationRole: Writing – review & editing
                Role: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: ValidationRole: Writing – review & editing
                Role: Data curationRole: InvestigationRole: Validation
                Role: Data curationRole: Formal analysisRole: InvestigationRole: ValidationRole: VisualizationRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Funding acquisitionRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS Pathog
                PLoS Pathog
                plos
                PLOS Pathogens
                Public Library of Science (San Francisco, CA USA )
                1553-7366
                1553-7374
                17 June 2024
                June 2024
                : 20
                : 6
                : e1011970
                Affiliations
                [001] Vaccine and Gene Therapy Institute, Oregon Health & Science University, Beaverton, Oregon, United States of America
                Brigham and Women’s Hospital, UNITED STATES
                Author notes

                The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0000-0003-2967-9478
                Article
                PPATHOGENS-D-24-00085
                10.1371/journal.ppat.1011970
                11213311
                38885264
                6b5111a6-9672-4ea7-bd55-ba8619ffb2d0
                © 2024 Chen et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 12 January 2024
                : 27 May 2024
                Page count
                Figures: 7, Tables: 0, Pages: 23
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/100000060, National Institute of Allergy and Infectious Diseases;
                Award ID: R01 AI143620
                Award Recipient :
                This work was supported by R01 AI143620 from the National Institute of Allergy and Infectious Diseases to RLS. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
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                Custom metadata
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                2024-06-28
                Sequencing datasets are available through NCBI Sequence Read Archive (SRA) under BioProject PRJNA796351 and PRJNA1030428.

                Infectious disease & Microbiology
                Infectious disease & Microbiology

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