Loading…
2D Visualization of the Psoriasis Transcriptome Fails to Support the Existence of Dual-Secreting IL-17A/IL-22 Th17 T Cells
The present paradigm of psoriasis pathogenesis revolves around the IL-23/IL-17A axis. Dual-secreting Th17 T cells presumably are the predominant sources of the psoriasis phenotype-driving cytokines, IL-17A and IL-22. We thus conducted a meta-analysis of independently acquired RNA-seq psoriasis datas...
Saved in:
Published in: | Frontiers in immunology 2019-04, Vol.10, p.589-589 |
---|---|
Main Authors: | , , , , , , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c462t-aa4c0b56d35c116ff673abe58fea5fa3de40ab440511b0c4f3e0020665cbef53 |
---|---|
cites | cdi_FETCH-LOGICAL-c462t-aa4c0b56d35c116ff673abe58fea5fa3de40ab440511b0c4f3e0020665cbef53 |
container_end_page | 589 |
container_issue | |
container_start_page | 589 |
container_title | Frontiers in immunology |
container_volume | 10 |
creator | Le, Stephanie T Merleev, Alexander A Luxardi, Guillaume Shimoda, Michiko Adamopoulos, Iannis E Tsoi, Lam C Wang, Jenny Z Alexanian, Claire Raychaudhuri, Siba P Hwang, Samuel T Gudjonsson, Johann Marusina, Alina I Maverakis, Emanual |
description | The present paradigm of psoriasis pathogenesis revolves around the IL-23/IL-17A axis. Dual-secreting Th17 T cells presumably are the predominant sources of the psoriasis phenotype-driving cytokines, IL-17A and IL-22. We thus conducted a meta-analysis of independently acquired RNA-seq psoriasis datasets to explore the relationship between the expression of
and
. This analysis failed to support the existence of dual secreting IL-17A/IL-22 Th17 cells as a major source of these cytokines. However, variable relationships amongst the expression of psoriasis susceptibility genes and of
, and
were identified. Additionally, to shed light on gene expression relationships in psoriasis, we applied a machine learning nonlinear dimensionality reduction strategy (t-SNE) to display the entire psoriasis transcriptome as a 2-dimensonal image. This analysis revealed a variety of gene clusters, relevant to psoriasis pathophysiology but failed to support a relationship between
and
. These results support existing theories on alternative sources of IL-17A and IL-22 in psoriasis such as a Th22 cells and non-T cell populations. |
doi_str_mv | 10.3389/fimmu.2019.00589 |
format | article |
fullrecord | <record><control><sourceid>proquest_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_ee793b68b8a74bf49f481c9601c520be</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><doaj_id>oai_doaj_org_article_ee793b68b8a74bf49f481c9601c520be</doaj_id><sourcerecordid>2215012575</sourcerecordid><originalsourceid>FETCH-LOGICAL-c462t-aa4c0b56d35c116ff673abe58fea5fa3de40ab440511b0c4f3e0020665cbef53</originalsourceid><addsrcrecordid>eNpVkk1r3DAQhk1pSUKae05Fx1680bftSyFsknZhoYWYXoWkHe0q2JYryaXJr493Nw2JLiM08z4zaN6iuCR4wVjdXDnf99OCYtIsMBZ186E4I1LyklHKP765nxYXKT3g-fCGMSZOilNGZpXA9Kx4ojfot0-T7vyTzj4MKDiUd4B-pRC9Tj6hNuoh2ejHHHpAd9p3CeWA7qdxDDEfim__-ZRhsLBX38yw8h5shOyHLVqtS1JdX82BUtTuSIVatISuS5-LT053CS5e4nnR3t22yx_l-uf31fJ6XVouaS615hYbITdMWEKkc7Ji2oCoHWjhNNsAx9pwjgUhBlvuGGBMsZTCGnCCnRerI3YT9IMao-91fFRBe3V4CHGrdMzedqAAqoYZWZtaV9w43jheE9tITKyg2MDM-nZkjZPpYWNhyFF376DvM4PfqW34qyQXNZV8Bnx9AcTwZ4KUVe-TnX9DDxCmpCglAhMqqv3c-FhqY0gpgnttQ7DaG0AdDKD2BlAHA8ySL2_HexX8Xzd7BpA2rNo</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2215012575</pqid></control><display><type>article</type><title>2D Visualization of the Psoriasis Transcriptome Fails to Support the Existence of Dual-Secreting IL-17A/IL-22 Th17 T Cells</title><source>PubMed (Medline)</source><creator>Le, Stephanie T ; Merleev, Alexander A ; Luxardi, Guillaume ; Shimoda, Michiko ; Adamopoulos, Iannis E ; Tsoi, Lam C ; Wang, Jenny Z ; Alexanian, Claire ; Raychaudhuri, Siba P ; Hwang, Samuel T ; Gudjonsson, Johann ; Marusina, Alina I ; Maverakis, Emanual</creator><creatorcontrib>Le, Stephanie T ; Merleev, Alexander A ; Luxardi, Guillaume ; Shimoda, Michiko ; Adamopoulos, Iannis E ; Tsoi, Lam C ; Wang, Jenny Z ; Alexanian, Claire ; Raychaudhuri, Siba P ; Hwang, Samuel T ; Gudjonsson, Johann ; Marusina, Alina I ; Maverakis, Emanual</creatorcontrib><description>The present paradigm of psoriasis pathogenesis revolves around the IL-23/IL-17A axis. Dual-secreting Th17 T cells presumably are the predominant sources of the psoriasis phenotype-driving cytokines, IL-17A and IL-22. We thus conducted a meta-analysis of independently acquired RNA-seq psoriasis datasets to explore the relationship between the expression of
and
. This analysis failed to support the existence of dual secreting IL-17A/IL-22 Th17 cells as a major source of these cytokines. However, variable relationships amongst the expression of psoriasis susceptibility genes and of
, and
were identified. Additionally, to shed light on gene expression relationships in psoriasis, we applied a machine learning nonlinear dimensionality reduction strategy (t-SNE) to display the entire psoriasis transcriptome as a 2-dimensonal image. This analysis revealed a variety of gene clusters, relevant to psoriasis pathophysiology but failed to support a relationship between
and
. These results support existing theories on alternative sources of IL-17A and IL-22 in psoriasis such as a Th22 cells and non-T cell populations.</description><identifier>ISSN: 1664-3224</identifier><identifier>EISSN: 1664-3224</identifier><identifier>DOI: 10.3389/fimmu.2019.00589</identifier><identifier>PMID: 31019502</identifier><language>eng</language><publisher>Switzerland: Frontiers Media S.A</publisher><subject>Biomarkers ; Computational Biology - methods ; Cytokines - biosynthesis ; Disease Susceptibility ; Gene Expression Profiling ; Gene Expression Regulation ; Humans ; IL17 ; IL22 ; Immunology ; Inflammation Mediators - metabolism ; Interleukin-17 - biosynthesis ; Interleukin-22 ; Interleukins - biosynthesis ; machine learning ; Molecular Imaging ; neutrophil ; psoriasis ; Psoriasis - etiology ; Psoriasis - metabolism ; Psoriasis - pathology ; RNA-seq ; Th17 Cells - immunology ; Th17 Cells - metabolism ; Transcriptome</subject><ispartof>Frontiers in immunology, 2019-04, Vol.10, p.589-589</ispartof><rights>Copyright © 2019 Le, Merleev, Luxardi, Shimoda, Adamopoulos, Tsoi, Wang, Alexanian, Raychaudhuri, Hwang, Gudjonsson, Marusina and Maverakis. 2019 Le, Merleev, Luxardi, Shimoda, Adamopoulos, Tsoi, Wang, Alexanian, Raychaudhuri, Hwang, Gudjonsson, Marusina and Maverakis</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c462t-aa4c0b56d35c116ff673abe58fea5fa3de40ab440511b0c4f3e0020665cbef53</citedby><cites>FETCH-LOGICAL-c462t-aa4c0b56d35c116ff673abe58fea5fa3de40ab440511b0c4f3e0020665cbef53</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/PMC6458264/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6458264/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31019502$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Le, Stephanie T</creatorcontrib><creatorcontrib>Merleev, Alexander A</creatorcontrib><creatorcontrib>Luxardi, Guillaume</creatorcontrib><creatorcontrib>Shimoda, Michiko</creatorcontrib><creatorcontrib>Adamopoulos, Iannis E</creatorcontrib><creatorcontrib>Tsoi, Lam C</creatorcontrib><creatorcontrib>Wang, Jenny Z</creatorcontrib><creatorcontrib>Alexanian, Claire</creatorcontrib><creatorcontrib>Raychaudhuri, Siba P</creatorcontrib><creatorcontrib>Hwang, Samuel T</creatorcontrib><creatorcontrib>Gudjonsson, Johann</creatorcontrib><creatorcontrib>Marusina, Alina I</creatorcontrib><creatorcontrib>Maverakis, Emanual</creatorcontrib><title>2D Visualization of the Psoriasis Transcriptome Fails to Support the Existence of Dual-Secreting IL-17A/IL-22 Th17 T Cells</title><title>Frontiers in immunology</title><addtitle>Front Immunol</addtitle><description>The present paradigm of psoriasis pathogenesis revolves around the IL-23/IL-17A axis. Dual-secreting Th17 T cells presumably are the predominant sources of the psoriasis phenotype-driving cytokines, IL-17A and IL-22. We thus conducted a meta-analysis of independently acquired RNA-seq psoriasis datasets to explore the relationship between the expression of
and
. This analysis failed to support the existence of dual secreting IL-17A/IL-22 Th17 cells as a major source of these cytokines. However, variable relationships amongst the expression of psoriasis susceptibility genes and of
, and
were identified. Additionally, to shed light on gene expression relationships in psoriasis, we applied a machine learning nonlinear dimensionality reduction strategy (t-SNE) to display the entire psoriasis transcriptome as a 2-dimensonal image. This analysis revealed a variety of gene clusters, relevant to psoriasis pathophysiology but failed to support a relationship between
and
. These results support existing theories on alternative sources of IL-17A and IL-22 in psoriasis such as a Th22 cells and non-T cell populations.</description><subject>Biomarkers</subject><subject>Computational Biology - methods</subject><subject>Cytokines - biosynthesis</subject><subject>Disease Susceptibility</subject><subject>Gene Expression Profiling</subject><subject>Gene Expression Regulation</subject><subject>Humans</subject><subject>IL17</subject><subject>IL22</subject><subject>Immunology</subject><subject>Inflammation Mediators - metabolism</subject><subject>Interleukin-17 - biosynthesis</subject><subject>Interleukin-22</subject><subject>Interleukins - biosynthesis</subject><subject>machine learning</subject><subject>Molecular Imaging</subject><subject>neutrophil</subject><subject>psoriasis</subject><subject>Psoriasis - etiology</subject><subject>Psoriasis - metabolism</subject><subject>Psoriasis - pathology</subject><subject>RNA-seq</subject><subject>Th17 Cells - immunology</subject><subject>Th17 Cells - metabolism</subject><subject>Transcriptome</subject><issn>1664-3224</issn><issn>1664-3224</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>DOA</sourceid><recordid>eNpVkk1r3DAQhk1pSUKae05Fx1680bftSyFsknZhoYWYXoWkHe0q2JYryaXJr493Nw2JLiM08z4zaN6iuCR4wVjdXDnf99OCYtIsMBZ186E4I1LyklHKP765nxYXKT3g-fCGMSZOilNGZpXA9Kx4ojfot0-T7vyTzj4MKDiUd4B-pRC9Tj6hNuoh2ejHHHpAd9p3CeWA7qdxDDEfim__-ZRhsLBX38yw8h5shOyHLVqtS1JdX82BUtTuSIVatISuS5-LT053CS5e4nnR3t22yx_l-uf31fJ6XVouaS615hYbITdMWEKkc7Ji2oCoHWjhNNsAx9pwjgUhBlvuGGBMsZTCGnCCnRerI3YT9IMao-91fFRBe3V4CHGrdMzedqAAqoYZWZtaV9w43jheE9tITKyg2MDM-nZkjZPpYWNhyFF376DvM4PfqW34qyQXNZV8Bnx9AcTwZ4KUVe-TnX9DDxCmpCglAhMqqv3c-FhqY0gpgnttQ7DaG0AdDKD2BlAHA8ySL2_HexX8Xzd7BpA2rNo</recordid><startdate>20190404</startdate><enddate>20190404</enddate><creator>Le, Stephanie T</creator><creator>Merleev, Alexander A</creator><creator>Luxardi, Guillaume</creator><creator>Shimoda, Michiko</creator><creator>Adamopoulos, Iannis E</creator><creator>Tsoi, Lam C</creator><creator>Wang, Jenny Z</creator><creator>Alexanian, Claire</creator><creator>Raychaudhuri, Siba P</creator><creator>Hwang, Samuel T</creator><creator>Gudjonsson, Johann</creator><creator>Marusina, Alina I</creator><creator>Maverakis, Emanual</creator><general>Frontiers Media S.A</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>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20190404</creationdate><title>2D Visualization of the Psoriasis Transcriptome Fails to Support the Existence of Dual-Secreting IL-17A/IL-22 Th17 T Cells</title><author>Le, Stephanie T ; Merleev, Alexander A ; Luxardi, Guillaume ; Shimoda, Michiko ; Adamopoulos, Iannis E ; Tsoi, Lam C ; Wang, Jenny Z ; Alexanian, Claire ; Raychaudhuri, Siba P ; Hwang, Samuel T ; Gudjonsson, Johann ; Marusina, Alina I ; Maverakis, Emanual</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c462t-aa4c0b56d35c116ff673abe58fea5fa3de40ab440511b0c4f3e0020665cbef53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Biomarkers</topic><topic>Computational Biology - methods</topic><topic>Cytokines - biosynthesis</topic><topic>Disease Susceptibility</topic><topic>Gene Expression Profiling</topic><topic>Gene Expression Regulation</topic><topic>Humans</topic><topic>IL17</topic><topic>IL22</topic><topic>Immunology</topic><topic>Inflammation Mediators - metabolism</topic><topic>Interleukin-17 - biosynthesis</topic><topic>Interleukin-22</topic><topic>Interleukins - biosynthesis</topic><topic>machine learning</topic><topic>Molecular Imaging</topic><topic>neutrophil</topic><topic>psoriasis</topic><topic>Psoriasis - etiology</topic><topic>Psoriasis - metabolism</topic><topic>Psoriasis - pathology</topic><topic>RNA-seq</topic><topic>Th17 Cells - immunology</topic><topic>Th17 Cells - metabolism</topic><topic>Transcriptome</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Le, Stephanie T</creatorcontrib><creatorcontrib>Merleev, Alexander A</creatorcontrib><creatorcontrib>Luxardi, Guillaume</creatorcontrib><creatorcontrib>Shimoda, Michiko</creatorcontrib><creatorcontrib>Adamopoulos, Iannis E</creatorcontrib><creatorcontrib>Tsoi, Lam C</creatorcontrib><creatorcontrib>Wang, Jenny Z</creatorcontrib><creatorcontrib>Alexanian, Claire</creatorcontrib><creatorcontrib>Raychaudhuri, Siba P</creatorcontrib><creatorcontrib>Hwang, Samuel T</creatorcontrib><creatorcontrib>Gudjonsson, Johann</creatorcontrib><creatorcontrib>Marusina, Alina I</creatorcontrib><creatorcontrib>Maverakis, Emanual</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>Directory of Open Access Journals</collection><jtitle>Frontiers in immunology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Le, Stephanie T</au><au>Merleev, Alexander A</au><au>Luxardi, Guillaume</au><au>Shimoda, Michiko</au><au>Adamopoulos, Iannis E</au><au>Tsoi, Lam C</au><au>Wang, Jenny Z</au><au>Alexanian, Claire</au><au>Raychaudhuri, Siba P</au><au>Hwang, Samuel T</au><au>Gudjonsson, Johann</au><au>Marusina, Alina I</au><au>Maverakis, Emanual</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>2D Visualization of the Psoriasis Transcriptome Fails to Support the Existence of Dual-Secreting IL-17A/IL-22 Th17 T Cells</atitle><jtitle>Frontiers in immunology</jtitle><addtitle>Front Immunol</addtitle><date>2019-04-04</date><risdate>2019</risdate><volume>10</volume><spage>589</spage><epage>589</epage><pages>589-589</pages><issn>1664-3224</issn><eissn>1664-3224</eissn><abstract>The present paradigm of psoriasis pathogenesis revolves around the IL-23/IL-17A axis. Dual-secreting Th17 T cells presumably are the predominant sources of the psoriasis phenotype-driving cytokines, IL-17A and IL-22. We thus conducted a meta-analysis of independently acquired RNA-seq psoriasis datasets to explore the relationship between the expression of
and
. This analysis failed to support the existence of dual secreting IL-17A/IL-22 Th17 cells as a major source of these cytokines. However, variable relationships amongst the expression of psoriasis susceptibility genes and of
, and
were identified. Additionally, to shed light on gene expression relationships in psoriasis, we applied a machine learning nonlinear dimensionality reduction strategy (t-SNE) to display the entire psoriasis transcriptome as a 2-dimensonal image. This analysis revealed a variety of gene clusters, relevant to psoriasis pathophysiology but failed to support a relationship between
and
. These results support existing theories on alternative sources of IL-17A and IL-22 in psoriasis such as a Th22 cells and non-T cell populations.</abstract><cop>Switzerland</cop><pub>Frontiers Media S.A</pub><pmid>31019502</pmid><doi>10.3389/fimmu.2019.00589</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1664-3224 |
ispartof | Frontiers in immunology, 2019-04, Vol.10, p.589-589 |
issn | 1664-3224 1664-3224 |
language | eng |
recordid | cdi_doaj_primary_oai_doaj_org_article_ee793b68b8a74bf49f481c9601c520be |
source | PubMed (Medline) |
subjects | Biomarkers Computational Biology - methods Cytokines - biosynthesis Disease Susceptibility Gene Expression Profiling Gene Expression Regulation Humans IL17 IL22 Immunology Inflammation Mediators - metabolism Interleukin-17 - biosynthesis Interleukin-22 Interleukins - biosynthesis machine learning Molecular Imaging neutrophil psoriasis Psoriasis - etiology Psoriasis - metabolism Psoriasis - pathology RNA-seq Th17 Cells - immunology Th17 Cells - metabolism Transcriptome |
title | 2D Visualization of the Psoriasis Transcriptome Fails to Support the Existence of Dual-Secreting IL-17A/IL-22 Th17 T Cells |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-26T19%3A25%3A33IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=2D%20Visualization%20of%20the%20Psoriasis%20Transcriptome%20Fails%20to%20Support%20the%20Existence%20of%20Dual-Secreting%20IL-17A/IL-22%20Th17%20T%20Cells&rft.jtitle=Frontiers%20in%20immunology&rft.au=Le,%20Stephanie%20T&rft.date=2019-04-04&rft.volume=10&rft.spage=589&rft.epage=589&rft.pages=589-589&rft.issn=1664-3224&rft.eissn=1664-3224&rft_id=info:doi/10.3389/fimmu.2019.00589&rft_dat=%3Cproquest_doaj_%3E2215012575%3C/proquest_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c462t-aa4c0b56d35c116ff673abe58fea5fa3de40ab440511b0c4f3e0020665cbef53%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2215012575&rft_id=info:pmid/31019502&rfr_iscdi=true |