Gene Set Enrichment Analysis Reveals That Fucoidan Induces Type I IFN Pathways in BMDC

نویسندگان

چکیده

Abstract Fucoidan, a sulfated polysaccharide extracted from brown seaweed, has been proposed to effectively treat and prevent various viral infections. However, the mechanisms behind its antiviral activity are not completely understood. We investigate here global transcriptional changes in bone marrow-derived dendritic cells (BMDCs) using RNA-Seq technology. Through both analysis of differentially expressed genes (DEG) gene set enrichment (GSEA), we found that fucoidan-treated BMDCs were enriched virus-specific response pathways, including SARS-CoV-2, as well pathways associated with nucleic acid-sensing receptors (RLR, TLR, NLR, STING), type I interferon (IFN) production. show these transcriptome driven by well-known regulators inflammatory against viruses, IRF, NF-κB, STAT family transcription factors. Furthermore, 435 950 upregulated DEGs classified IFN-stimulated (ISGs). Flow cytometric additionally showed fucoidan increased MHCII, CD80, CD40 surface markers BMDCs, indicative greater antigen presentation co-stimulation functionality. Our current study suggests transcriptionally activates PRR signaling, IFN production ISGs production, DC maturation, highlighting potential mechanism fucoidan-induced activity. 이 연구는 충남대학교 연구비와 교육부 조성 한국연구재단(NRF-2019R1I1A3A01060331 J.K.) 또한, 과학기술정보통신부가 지원하는 한국연구재단(NRF)을 통한 브레인풀 프로그램(NRF-2020H1D3A2A02048437, J.G.K.)과 과학기술부(NRF-2021M3H9A1030267, S.Y.K.)의 지원으로 진행됐다.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Gene set enrichment; a problem of pathways.

Gene Set Enrichment (GSE) is a computational technique which determines whether a priori defined set of genes show statistically significant differential expression between two phenotypes. Currently, the gene sets used for GSE are derived from annotation or pathway databases, which often contain computationally based and unrepresentative data. Here, we propose a novel approach for the generatio...

متن کامل

Key pathways involved in prostate cancer based on gene set enrichment analysis and meta analysis.

Prostate cancer is one of the most common male malignant neoplasms; however, its causes are not completely understood. A few recent studies have used gene expression profiling of prostate cancer to identify differentially expressed genes and possible relevant pathways. However, few studies have examined the genetic mechanics of prostate cancer at the pathway level to search for such pathwa...

متن کامل

GeneTrail—advanced gene set enrichment analysis

We present a comprehensive and efficient gene set analysis tool, called 'GeneTrail' that offers a rich functionality and is easy to use. Our web-based application facilitates the statistical evaluation of high-throughput genomic or proteomic data sets with respect to enrichment of functional categories. GeneTrail covers a wide variety of biological categories and pathways, among others KEGG, TR...

متن کامل

EnrichNet: network-based gene set enrichment analysis

MOTIVATION Assessing functional associations between an experimentally derived gene or protein set of interest and a database of known gene/protein sets is a common task in the analysis of large-scale functional genomics data. For this purpose, a frequently used approach is to apply an over-representation-based enrichment analysis. However, this approach has four drawbacks: (i) it can only scor...

متن کامل

Absolute enrichment: gene set enrichment analysis for homeostatic systems

The Gene Set Enrichment Analysis (GSEA) identifies sets of genes that are differentially regulated in one direction. Many homeostatic systems will include one limb that is upregulated in response to a downregulation of another limb and vice versa. Such patterns are poorly captured by the standard formulation of GSEA. We describe a technique to identify groups of genes (which sometimes can be pa...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Journal of Immunology

سال: 2023

ISSN: ['1550-6606', '0022-1767']

DOI: https://doi.org/10.4049/jimmunol.210.supp.221.20