Interferon-beta induces distinct gene expression response patterns in human monocytes versus T cells
Monocytes, which are key players in innate immunity, are outnumbered by neutrophils and lymphocytes among peripheral white blood cells. The cytokine interferon-β (IFN-β) is widely used as an immunomodulatory drug for multiple sclerosis and its functional pathways in peripheral blood mononuclear cell...
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description | Monocytes, which are key players in innate immunity, are outnumbered by neutrophils and lymphocytes among peripheral white blood cells. The cytokine interferon-β (IFN-β) is widely used as an immunomodulatory drug for multiple sclerosis and its functional pathways in peripheral blood mononuclear cells (PBMCs) have been previously described. The aim of the present study was to identify novel, cell-specific IFN-β functions and pathways in tumor necrosis factor (TNF)-α-activated monocytes that may have been missed in studies using PBMCs.
Whole genome gene expression profiles of human monocytes and T cells were compared following in vitro priming to TNF-α and overnight exposure to IFN-β. Statistical analyses of the gene expression data revealed a cell-type-specific change of 699 transcripts, 667 monocyte-specific transcripts, 21 T cell-specific transcripts and 11 transcripts with either a difference in the response direction or a difference in the magnitude of response. RT-PCR revealed a set of differentially expressed genes (DEGs), exhibiting responses to IFN-β that are modulated by TNF-α in monocytes, such as RIPK2 and CD83, but not in T cells or PBMCs. Known IFN-β promoter response elements, such as ISRE, were enriched in T cell DEGs but not in monocyte DEGs. The overall directionality of the gene expression regulation by IFN-β was different in T cells and monocytes, with up-regulation more prevalent in T cells, and a similar extent of up and down-regulation recorded in monocytes.
By focusing on the response of distinct cell types and by evaluating the combined effects of two cytokines with pro and anti-inflammatory activities, we were able to present two new findings First, new IFN-β response pathways and genes, some of which were monocytes specific; second, a cell-specific modulation of the IFN-β response transcriptome by TNF-α. |
doi_str_mv | 10.1371/journal.pone.0062366 |
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Whole genome gene expression profiles of human monocytes and T cells were compared following in vitro priming to TNF-α and overnight exposure to IFN-β. Statistical analyses of the gene expression data revealed a cell-type-specific change of 699 transcripts, 667 monocyte-specific transcripts, 21 T cell-specific transcripts and 11 transcripts with either a difference in the response direction or a difference in the magnitude of response. RT-PCR revealed a set of differentially expressed genes (DEGs), exhibiting responses to IFN-β that are modulated by TNF-α in monocytes, such as RIPK2 and CD83, but not in T cells or PBMCs. Known IFN-β promoter response elements, such as ISRE, were enriched in T cell DEGs but not in monocyte DEGs. The overall directionality of the gene expression regulation by IFN-β was different in T cells and monocytes, with up-regulation more prevalent in T cells, and a similar extent of up and down-regulation recorded in monocytes.
By focusing on the response of distinct cell types and by evaluating the combined effects of two cytokines with pro and anti-inflammatory activities, we were able to present two new findings First, new IFN-β response pathways and genes, some of which were monocytes specific; second, a cell-specific modulation of the IFN-β response transcriptome by TNF-α.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0062366</identifier><identifier>PMID: 23626809</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>ADP-ribosyl Cyclase 1 - genetics ; ADP-ribosyl Cyclase 1 - metabolism ; Antigens ; Apoptosis ; Biological response modifiers ; Biology ; Biomarkers ; Blood ; Blood cells ; CD83 antigen ; Cluster Analysis ; Comparative analysis ; Computer science ; Cytokines ; Dendritic cells ; Disease ; Erythrocytes ; Gene expression ; Gene Expression Profiling ; Gene Expression Regulation - drug effects ; Gene regulation ; Gene Regulatory Networks ; Genes ; Genetic research ; Genomes ; Human behavior ; Humans ; Immune system ; Immunity ; Immunomodulation ; Infections ; Inflammation ; Innate immunity ; Interferon ; Interferon-beta - pharmacology ; Kinases ; Leukocytes ; Leukocytes (mononuclear) ; Leukocytes (neutrophilic) ; Leukocytes, Mononuclear - drug effects ; Leukocytes, Mononuclear - metabolism ; Lymphocytes ; Lymphocytes T ; Medicine ; MicroRNAs ; Monocytes ; Monocytes - drug effects ; Monocytes - metabolism ; Multiple sclerosis ; Organ Specificity ; Pathways ; Peripheral blood mononuclear cells ; Polymerase chain reaction ; Priming ; Proteins ; Regulatory sequences ; Reproducibility of Results ; Signal Transduction ; Statistical analysis ; Statistical analysis of data ; Studies ; T cells ; T-Lymphocytes - drug effects ; T-Lymphocytes - metabolism ; Transcription, Genetic ; Tumor necrosis factor ; Tumor Necrosis Factor-alpha - pharmacology ; Tumor necrosis factor-α ; White blood cells ; β-Interferon</subject><ispartof>PloS one, 2013-04, Vol.8 (4), p.e62366</ispartof><rights>COPYRIGHT 2013 Public Library of Science</rights><rights>2013 Henig et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2013 Henig et al 2013 Henig et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-1c7e76ae15a3be4cddec578a18fcebb1a778c6dfc21e44bdb23440a7cbb95df3</citedby><cites>FETCH-LOGICAL-c692t-1c7e76ae15a3be4cddec578a18fcebb1a778c6dfc21e44bdb23440a7cbb95df3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3633862/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3633862/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79342,79343</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23626809$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Henig, Noa</creatorcontrib><creatorcontrib>Avidan, Nili</creatorcontrib><creatorcontrib>Mandel, Ilana</creatorcontrib><creatorcontrib>Staun-Ram, Elsebeth</creatorcontrib><creatorcontrib>Ginzburg, Elizabeta</creatorcontrib><creatorcontrib>Paperna, Tamar</creatorcontrib><creatorcontrib>Pinter, Ron Y</creatorcontrib><creatorcontrib>Miller, Ariel</creatorcontrib><title>Interferon-beta induces distinct gene expression response patterns in human monocytes versus T cells</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Monocytes, which are key players in innate immunity, are outnumbered by neutrophils and lymphocytes among peripheral white blood cells. The cytokine interferon-β (IFN-β) is widely used as an immunomodulatory drug for multiple sclerosis and its functional pathways in peripheral blood mononuclear cells (PBMCs) have been previously described. The aim of the present study was to identify novel, cell-specific IFN-β functions and pathways in tumor necrosis factor (TNF)-α-activated monocytes that may have been missed in studies using PBMCs.
Whole genome gene expression profiles of human monocytes and T cells were compared following in vitro priming to TNF-α and overnight exposure to IFN-β. Statistical analyses of the gene expression data revealed a cell-type-specific change of 699 transcripts, 667 monocyte-specific transcripts, 21 T cell-specific transcripts and 11 transcripts with either a difference in the response direction or a difference in the magnitude of response. RT-PCR revealed a set of differentially expressed genes (DEGs), exhibiting responses to IFN-β that are modulated by TNF-α in monocytes, such as RIPK2 and CD83, but not in T cells or PBMCs. Known IFN-β promoter response elements, such as ISRE, were enriched in T cell DEGs but not in monocyte DEGs. The overall directionality of the gene expression regulation by IFN-β was different in T cells and monocytes, with up-regulation more prevalent in T cells, and a similar extent of up and down-regulation recorded in monocytes.
By focusing on the response of distinct cell types and by evaluating the combined effects of two cytokines with pro and anti-inflammatory activities, we were able to present two new findings First, new IFN-β response pathways and genes, some of which were monocytes specific; second, a cell-specific modulation of the IFN-β response transcriptome by TNF-α.</description><subject>ADP-ribosyl Cyclase 1 - genetics</subject><subject>ADP-ribosyl Cyclase 1 - metabolism</subject><subject>Antigens</subject><subject>Apoptosis</subject><subject>Biological response modifiers</subject><subject>Biology</subject><subject>Biomarkers</subject><subject>Blood</subject><subject>Blood cells</subject><subject>CD83 antigen</subject><subject>Cluster Analysis</subject><subject>Comparative analysis</subject><subject>Computer science</subject><subject>Cytokines</subject><subject>Dendritic cells</subject><subject>Disease</subject><subject>Erythrocytes</subject><subject>Gene expression</subject><subject>Gene Expression Profiling</subject><subject>Gene Expression Regulation - drug effects</subject><subject>Gene regulation</subject><subject>Gene Regulatory Networks</subject><subject>Genes</subject><subject>Genetic research</subject><subject>Genomes</subject><subject>Human behavior</subject><subject>Humans</subject><subject>Immune system</subject><subject>Immunity</subject><subject>Immunomodulation</subject><subject>Infections</subject><subject>Inflammation</subject><subject>Innate immunity</subject><subject>Interferon</subject><subject>Interferon-beta - pharmacology</subject><subject>Kinases</subject><subject>Leukocytes</subject><subject>Leukocytes (mononuclear)</subject><subject>Leukocytes (neutrophilic)</subject><subject>Leukocytes, Mononuclear - drug effects</subject><subject>Leukocytes, Mononuclear - metabolism</subject><subject>Lymphocytes</subject><subject>Lymphocytes T</subject><subject>Medicine</subject><subject>MicroRNAs</subject><subject>Monocytes</subject><subject>Monocytes - drug effects</subject><subject>Monocytes - metabolism</subject><subject>Multiple sclerosis</subject><subject>Organ Specificity</subject><subject>Pathways</subject><subject>Peripheral blood mononuclear cells</subject><subject>Polymerase chain reaction</subject><subject>Priming</subject><subject>Proteins</subject><subject>Regulatory sequences</subject><subject>Reproducibility of Results</subject><subject>Signal Transduction</subject><subject>Statistical analysis</subject><subject>Statistical analysis of data</subject><subject>Studies</subject><subject>T cells</subject><subject>T-Lymphocytes - drug effects</subject><subject>T-Lymphocytes - metabolism</subject><subject>Transcription, Genetic</subject><subject>Tumor necrosis factor</subject><subject>Tumor Necrosis Factor-alpha - pharmacology</subject><subject>Tumor necrosis factor-α</subject><subject>White blood cells</subject><subject>β-Interferon</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNqNkl1rFDEYhQdRbK3-A9EBQfBi12SSSWZuCqX4sVAo6OJtyMc7u1lmkjXJlPbfm3anZQcUJBcJyXNOwskpircYLTHh-PPOj8HJfrn3DpYIsYow9qw4xS2pFqxC5PnR-qR4FeMOoZo0jL0sTjJbsQa1p4VZuQShg-DdQkGSpXVm1BBLY2OyTqdyAw5KuN0HiNF6V-Y5Xxmh3MuUpS5mSbkdB-nKwTuv71JW30CIYyzXpYa-j6-LF53sI7yZ5rNi_fXL-vL74ur62-ry4mqhWVulBdYcOJOAa0kUUG0M6Jo3EjedBqWw5LzRzHS6wkCpMqoilCLJtVJtbTpyVrw_2O57H8WUTxSYUFa3NeI4E6sDYbzciX2wgwx3wksrHjZ82AgZktU9iJxai2vOsOGKdqZrWNUq0zZYI8VlS7PX-XTbqAYwGlwKsp-Zzk-c3YqNvxGEkfwNVTb4MBkE_3uEmP7x5InayPwq6zqfzfRgoxYXlDe4ruiD1_IvVB4GBqtzQzqb92eCTzNBZhLcpo0cYxSrnz_-n73-NWc_HrFbkH3aRt-PKVcnzkF6AHXwMQbonpLDSNwX_DENcV9wMRU8y94dp_4kemw0-QOUT_jD</recordid><startdate>20130423</startdate><enddate>20130423</enddate><creator>Henig, Noa</creator><creator>Avidan, Nili</creator><creator>Mandel, Ilana</creator><creator>Staun-Ram, Elsebeth</creator><creator>Ginzburg, Elizabeta</creator><creator>Paperna, Tamar</creator><creator>Pinter, Ron Y</creator><creator>Miller, Ariel</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20130423</creationdate><title>Interferon-beta induces distinct gene expression response patterns in human monocytes versus T cells</title><author>Henig, Noa ; Avidan, Nili ; Mandel, Ilana ; Staun-Ram, Elsebeth ; Ginzburg, Elizabeta ; Paperna, Tamar ; Pinter, Ron Y ; Miller, Ariel</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-1c7e76ae15a3be4cddec578a18fcebb1a778c6dfc21e44bdb23440a7cbb95df3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>ADP-ribosyl Cyclase 1 - genetics</topic><topic>ADP-ribosyl Cyclase 1 - metabolism</topic><topic>Antigens</topic><topic>Apoptosis</topic><topic>Biological response modifiers</topic><topic>Biology</topic><topic>Biomarkers</topic><topic>Blood</topic><topic>Blood cells</topic><topic>CD83 antigen</topic><topic>Cluster Analysis</topic><topic>Comparative analysis</topic><topic>Computer science</topic><topic>Cytokines</topic><topic>Dendritic cells</topic><topic>Disease</topic><topic>Erythrocytes</topic><topic>Gene expression</topic><topic>Gene Expression Profiling</topic><topic>Gene Expression Regulation - drug effects</topic><topic>Gene regulation</topic><topic>Gene Regulatory Networks</topic><topic>Genes</topic><topic>Genetic research</topic><topic>Genomes</topic><topic>Human behavior</topic><topic>Humans</topic><topic>Immune system</topic><topic>Immunity</topic><topic>Immunomodulation</topic><topic>Infections</topic><topic>Inflammation</topic><topic>Innate immunity</topic><topic>Interferon</topic><topic>Interferon-beta - 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The cytokine interferon-β (IFN-β) is widely used as an immunomodulatory drug for multiple sclerosis and its functional pathways in peripheral blood mononuclear cells (PBMCs) have been previously described. The aim of the present study was to identify novel, cell-specific IFN-β functions and pathways in tumor necrosis factor (TNF)-α-activated monocytes that may have been missed in studies using PBMCs.
Whole genome gene expression profiles of human monocytes and T cells were compared following in vitro priming to TNF-α and overnight exposure to IFN-β. Statistical analyses of the gene expression data revealed a cell-type-specific change of 699 transcripts, 667 monocyte-specific transcripts, 21 T cell-specific transcripts and 11 transcripts with either a difference in the response direction or a difference in the magnitude of response. RT-PCR revealed a set of differentially expressed genes (DEGs), exhibiting responses to IFN-β that are modulated by TNF-α in monocytes, such as RIPK2 and CD83, but not in T cells or PBMCs. Known IFN-β promoter response elements, such as ISRE, were enriched in T cell DEGs but not in monocyte DEGs. The overall directionality of the gene expression regulation by IFN-β was different in T cells and monocytes, with up-regulation more prevalent in T cells, and a similar extent of up and down-regulation recorded in monocytes.
By focusing on the response of distinct cell types and by evaluating the combined effects of two cytokines with pro and anti-inflammatory activities, we were able to present two new findings First, new IFN-β response pathways and genes, some of which were monocytes specific; second, a cell-specific modulation of the IFN-β response transcriptome by TNF-α.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>23626809</pmid><doi>10.1371/journal.pone.0062366</doi><tpages>e62366</tpages><oa>free_for_read</oa></addata></record> |
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issn | 1932-6203 1932-6203 |
language | eng |
recordid | cdi_plos_journals_1346595071 |
source | MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; Free Full-Text Journals in Chemistry; Public Library of Science (PLoS) |
subjects | ADP-ribosyl Cyclase 1 - genetics ADP-ribosyl Cyclase 1 - metabolism Antigens Apoptosis Biological response modifiers Biology Biomarkers Blood Blood cells CD83 antigen Cluster Analysis Comparative analysis Computer science Cytokines Dendritic cells Disease Erythrocytes Gene expression Gene Expression Profiling Gene Expression Regulation - drug effects Gene regulation Gene Regulatory Networks Genes Genetic research Genomes Human behavior Humans Immune system Immunity Immunomodulation Infections Inflammation Innate immunity Interferon Interferon-beta - pharmacology Kinases Leukocytes Leukocytes (mononuclear) Leukocytes (neutrophilic) Leukocytes, Mononuclear - drug effects Leukocytes, Mononuclear - metabolism Lymphocytes Lymphocytes T Medicine MicroRNAs Monocytes Monocytes - drug effects Monocytes - metabolism Multiple sclerosis Organ Specificity Pathways Peripheral blood mononuclear cells Polymerase chain reaction Priming Proteins Regulatory sequences Reproducibility of Results Signal Transduction Statistical analysis Statistical analysis of data Studies T cells T-Lymphocytes - drug effects T-Lymphocytes - metabolism Transcription, Genetic Tumor necrosis factor Tumor Necrosis Factor-alpha - pharmacology Tumor necrosis factor-α White blood cells β-Interferon |
title | Interferon-beta induces distinct gene expression response patterns in human monocytes versus T cells |
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