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      SCD2-mediated cooperative activation of IRF3-IRF9 regulatory circuit controls type I interferon transcriptome in CD4 + T cells

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          Abstract

          Type I interferons (type I-IFN) are critical for the host defense to viral infection, and at the same time, the dysregulation of type I-IFN responses leads to autoinflammation or autoimmunity. Recently, we reported that the decrease in monounsaturated fatty acid caused by the genetic deletion of Scd2 is essential for the activation of type I-IFN signaling in CD4 + Th1 cells. Although interferon regulatory factor (IRF) is a family of homologous proteins that control the transcription of type I-IFN and interferon stimulated genes (ISGs), the member of the IRF family that is responsible for the type I-IFN responses induced by targeting of SCD2 remains unclear. Here, we report that the deletion of Scd2 triggered IRF3 activation for type I-IFN production, resulting in the nuclear translocation of IRF9 to induce ISG transcriptome in Th1 cells. These data led us to hypothesize that IRF9 plays an essential role in the transcriptional regulation of ISGs in Scd2-deleted (sg Scd2) Th1 cells. By employing ChIP-seq analyses, we found a substantial percentage of the IRF9 target genes were shared by sg Scd2 and IFNβ-treated Th1 cells. Importantly, our detailed analyses identify a unique feature of IRF9 binding in sg Scd2 Th1 cells that were not observed in IFNβ-treated Th1 cells. In addition, our combined analyses of transcriptome and IRF9 ChIP-seq revealed that the autoimmunity related genes, which increase in patient with SLE, were selectively increased in sg Scd2 Th1 cells. Thus, our findings provide novel mechanistic insights into the process of fatty acid metabolism that is essential for the type I-IFN response and the activation of the IRF family in CD4 + T cells.

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          Most cited references40

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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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              fastp: an ultra-fast all-in-one FASTQ preprocessor

              Abstract Motivation Quality control and preprocessing of FASTQ files are essential to providing clean data for downstream analysis. Traditionally, a different tool is used for each operation, such as quality control, adapter trimming and quality filtering. These tools are often insufficiently fast as most are developed using high-level programming languages (e.g. Python and Java) and provide limited multi-threading support. Reading and loading data multiple times also renders preprocessing slow and I/O inefficient. Results We developed fastp as an ultra-fast FASTQ preprocessor with useful quality control and data-filtering features. It can perform quality control, adapter trimming, quality filtering, per-read quality pruning and many other operations with a single scan of the FASTQ data. This tool is developed in C++ and has multi-threading support. Based on our evaluation, fastp is 2–5 times faster than other FASTQ preprocessing tools such as Trimmomatic or Cutadapt despite performing far more operations than similar tools. Availability and implementation The open-source code and corresponding instructions are available at https://github.com/OpenGene/fastp.
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                Author and article information

                Contributors
                Journal
                Front Immunol
                Front Immunol
                Front. Immunol.
                Frontiers in Immunology
                Frontiers Media S.A.
                1664-3224
                18 August 2022
                2022
                : 13
                : 904875
                Affiliations
                [1] 1 Department of Frontier Research and Development, Laboratory of Medical Omics Research, Kazusa DNA Research Institute , Chiba, Japan
                [2] 2 Department of Applied Genomics, Kazusa DNA Research Institute , Chiba, Japan
                [3] 3 Department of Immunology, Graduate School of Medicine, Chiba University , Chiba, Japan
                [4] 4 Japan Agency for Medical Research and Development (AMED) - Core Research for Evolutional Science and Technology (CREST) , AMED, Chiba, Japan
                [5] 5 Department of Omics Medicine, Graduate School of Medicine, Chiba University , Chiba, Japan
                Author notes

                Edited by: Chih-Hao Chang, Jackson Laboratory, United States

                Reviewed by: Minghua Wu, University of Texas Health Science Center at Houston, United States; Markus Johannes Hofer, The University of Sydney, Australia

                *Correspondence: Yusuke Endo, endo@ 123456kazusa.or.jp

                This article was submitted to Autoimmune and Autoinflammatory Disorders, a section of the journal Frontiers in Immunology

                Article
                10.3389/fimmu.2022.904875
                9436477
                36059459
                99b5a27e-9c12-42cb-9562-d9489e06fc65
                Copyright © 2022 Kanno, Miyako, Nakajima, Yokoyama, Sasamoto, Asou, Ohara, Nakayama and Endo

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 26 March 2022
                : 22 July 2022
                Page count
                Figures: 5, Tables: 0, Equations: 0, References: 40, Pages: 9, Words: 7716
                Categories
                Immunology
                Original Research

                Immunology
                cd4+ t cells,scd2,fatty acid metabolism,irf3,ifr9,rna-seq,chip-seq
                Immunology
                cd4+ t cells, scd2, fatty acid metabolism, irf3, ifr9, rna-seq, chip-seq

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