Expression profiling of human basophils: modulation by cytokines and secretagogues
Human basophils are an accessible participant of the human allergic reaction. There is natural variation in various functional endpoints and in signaling molecule expression but there has been only a limited effort to place this information in the context of mRNA expression profiles. This study exam...
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description | Human basophils are an accessible participant of the human allergic reaction. There is natural variation in various functional endpoints and in signaling molecule expression but there has been only a limited effort to place this information in the context of mRNA expression profiles. This study examined the hypothesis that unique mRNA signatures could be identified during the response of human basophils to several known forms of stimulation. Highly purified human basophils were cultured in vitro and exposed to IL-3, IL-5, NGF, IL-33, IL-2, anti-IgE Ab, or FMLP and the mRNA profiles examined by microarrays. The response to IL-3 and anti-IgE Ab were examined on 2-3 time frames and the response to IL-3 examined at several concentrations. In addition, the mRNA signatures of 3 different potential phenotypes were examined. These included basophils with the so-called non-releaser phenotype, and basophils from atopic and non-atopic subjects. Given the role of IL-3 in basophil maturation and the known profound effects on mature basophil function, it was not surprising that IL-3 showed the greatest influence on the basophil transcriptome. However, it also became apparent that the act of isolating and culturing basophils was sufficient to induce a large number of changes in the transcriptome, despite high viability and recovery. These "culture-effect" changes dominated the changes in mRNA profiles induced by other stimuli. Unique signatures for anti-IgE antibody and IL-33 could be identified although the number of gene transcripts (6-30) that were unique to these two stimuli was very limited. There were no apparent unique profiles for IL-5, NGF, IL-2 or FMLP. Therefore, a potential tool for screening basophil phenotypes was limited to changes that could be induced by IL-3 (or no IL-3), IL-33 and anti-IgE Ab. |
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There is natural variation in various functional endpoints and in signaling molecule expression but there has been only a limited effort to place this information in the context of mRNA expression profiles. This study examined the hypothesis that unique mRNA signatures could be identified during the response of human basophils to several known forms of stimulation. Highly purified human basophils were cultured in vitro and exposed to IL-3, IL-5, NGF, IL-33, IL-2, anti-IgE Ab, or FMLP and the mRNA profiles examined by microarrays. The response to IL-3 and anti-IgE Ab were examined on 2-3 time frames and the response to IL-3 examined at several concentrations. In addition, the mRNA signatures of 3 different potential phenotypes were examined. These included basophils with the so-called non-releaser phenotype, and basophils from atopic and non-atopic subjects. Given the role of IL-3 in basophil maturation and the known profound effects on mature basophil function, it was not surprising that IL-3 showed the greatest influence on the basophil transcriptome. However, it also became apparent that the act of isolating and culturing basophils was sufficient to induce a large number of changes in the transcriptome, despite high viability and recovery. These "culture-effect" changes dominated the changes in mRNA profiles induced by other stimuli. Unique signatures for anti-IgE antibody and IL-33 could be identified although the number of gene transcripts (6-30) that were unique to these two stimuli was very limited. There were no apparent unique profiles for IL-5, NGF, IL-2 or FMLP. Therefore, a potential tool for screening basophil phenotypes was limited to changes that could be induced by IL-3 (or no IL-3), IL-33 and anti-IgE Ab.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0126435</identifier><identifier>PMID: 25962139</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Apoptosis ; Asthma ; Atopy ; Basophils ; Basophils - drug effects ; Basophils - immunology ; Basophils - metabolism ; Cell division ; Cluster Analysis ; Computational Biology ; Cytokines ; Cytokines - metabolism ; Cytokines - pharmacology ; DNA microarrays ; Food allergies ; Gene expression ; Gene Expression Profiling ; Gene Expression Regulation - drug effects ; Genotype & phenotype ; Glucose ; Health aspects ; Human behavior ; Humans ; Hypersensitivity ; Immunoglobulin E ; Immunoglobulin E - immunology ; Immunoglobulins ; Interleukin 2 ; Interleukin 3 ; Interleukin 5 ; Kinases ; Leukocytes (basophilic) ; Nerve growth factor ; Phosphorylation ; Physiological aspects ; Signal transduction ; Signaling ; Signatures ; Stimuli ; Studies ; Transcriptome ; Viability</subject><ispartof>PloS one, 2015-05, Vol.10 (5), p.e0126435-e0126435</ispartof><rights>COPYRIGHT 2015 Public Library of Science</rights><rights>2015 Donald MacGlashan. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://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>2015 Donald MacGlashan 2015 Donald MacGlashan</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c758t-4d3bfab71a50e12c36ab38aed26777bc22eb25b5ee83f2f9759f6fed5586bef43</citedby><cites>FETCH-LOGICAL-c758t-4d3bfab71a50e12c36ab38aed26777bc22eb25b5ee83f2f9759f6fed5586bef43</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/PMC4427102/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4427102/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2102,2928,23866,27924,27925,53791,53793,79472,79473</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25962139$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Lang, Roland</contributor><creatorcontrib>MacGlashan, Jr, Donald</creatorcontrib><title>Expression profiling of human basophils: modulation by cytokines and secretagogues</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Human basophils are an accessible participant of the human allergic reaction. There is natural variation in various functional endpoints and in signaling molecule expression but there has been only a limited effort to place this information in the context of mRNA expression profiles. This study examined the hypothesis that unique mRNA signatures could be identified during the response of human basophils to several known forms of stimulation. Highly purified human basophils were cultured in vitro and exposed to IL-3, IL-5, NGF, IL-33, IL-2, anti-IgE Ab, or FMLP and the mRNA profiles examined by microarrays. The response to IL-3 and anti-IgE Ab were examined on 2-3 time frames and the response to IL-3 examined at several concentrations. In addition, the mRNA signatures of 3 different potential phenotypes were examined. These included basophils with the so-called non-releaser phenotype, and basophils from atopic and non-atopic subjects. Given the role of IL-3 in basophil maturation and the known profound effects on mature basophil function, it was not surprising that IL-3 showed the greatest influence on the basophil transcriptome. However, it also became apparent that the act of isolating and culturing basophils was sufficient to induce a large number of changes in the transcriptome, despite high viability and recovery. These "culture-effect" changes dominated the changes in mRNA profiles induced by other stimuli. Unique signatures for anti-IgE antibody and IL-33 could be identified although the number of gene transcripts (6-30) that were unique to these two stimuli was very limited. There were no apparent unique profiles for IL-5, NGF, IL-2 or FMLP. Therefore, a potential tool for screening basophil phenotypes was limited to changes that could be induced by IL-3 (or no IL-3), IL-33 and anti-IgE Ab.</description><subject>Apoptosis</subject><subject>Asthma</subject><subject>Atopy</subject><subject>Basophils</subject><subject>Basophils - drug effects</subject><subject>Basophils - immunology</subject><subject>Basophils - metabolism</subject><subject>Cell division</subject><subject>Cluster Analysis</subject><subject>Computational Biology</subject><subject>Cytokines</subject><subject>Cytokines - metabolism</subject><subject>Cytokines - pharmacology</subject><subject>DNA microarrays</subject><subject>Food allergies</subject><subject>Gene expression</subject><subject>Gene Expression Profiling</subject><subject>Gene Expression Regulation - drug effects</subject><subject>Genotype & phenotype</subject><subject>Glucose</subject><subject>Health aspects</subject><subject>Human behavior</subject><subject>Humans</subject><subject>Hypersensitivity</subject><subject>Immunoglobulin E</subject><subject>Immunoglobulin E - immunology</subject><subject>Immunoglobulins</subject><subject>Interleukin 2</subject><subject>Interleukin 3</subject><subject>Interleukin 5</subject><subject>Kinases</subject><subject>Leukocytes (basophilic)</subject><subject>Nerve growth factor</subject><subject>Phosphorylation</subject><subject>Physiological aspects</subject><subject>Signal transduction</subject><subject>Signaling</subject><subject>Signatures</subject><subject>Stimuli</subject><subject>Studies</subject><subject>Transcriptome</subject><subject>Viability</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNqNkt1r1TAYxosobk7_A9GCIHpxjvlo0tYLYYypBwaD-XEbkvRtT2badEkrO_-9qacbp7ILyUVC8nue5H3zJMlLjNaY5vjDtRt9J-26dx2sESY8o-xRcoxLSlacIPr4YH2UPAvhGiFGC86fJkeElZxgWh4nV-e3vYcQjOvS3rvaWNM1qavT7djKLlUyuH5rbPiYtq4arRwmUO1SvRvcL9NBSGVXpQG0h0E2rhkhPE-e1NIGeDHPJ8mPz-ffz76uLi6_bM5OL1Y6Z8WwyiqqaqlyLBkCTDTlUtFCQkV4nudKEwKKMMUAClqTusxZWfMaKsYKrqDO6Enyeu_bWxfE3I4gMC8QjkWjidjsicrJa9F700q_E04a8XfD-UZIPxhtQeSZpAh4mSlSxpchFfWScq0VrYqMl9Hr03zbqFqoNHSDl3ZhujzpzFY07rfIMpJjRKLBu9nAu5vYpkG0JmiwVnbgxv2786zELI_om3_Qh6ubqUbGAkxXu3ivnkzFaUYxZ5iVNFLrB6g4KmiNjtmJXw5LwfuFIDID3A6NHEMQm29X_89e_lyybw_YLUg7bIOz45SosASzPai9C8FDfd9kjMQU_btuiCn6Yo5-lL06_KB70V3W6R9mYf72</recordid><startdate>20150511</startdate><enddate>20150511</enddate><creator>MacGlashan, Jr, Donald</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>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20150511</creationdate><title>Expression profiling of human basophils: modulation by cytokines and secretagogues</title><author>MacGlashan, Jr, Donald</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c758t-4d3bfab71a50e12c36ab38aed26777bc22eb25b5ee83f2f9759f6fed5586bef43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Apoptosis</topic><topic>Asthma</topic><topic>Atopy</topic><topic>Basophils</topic><topic>Basophils - drug effects</topic><topic>Basophils - immunology</topic><topic>Basophils - metabolism</topic><topic>Cell division</topic><topic>Cluster Analysis</topic><topic>Computational Biology</topic><topic>Cytokines</topic><topic>Cytokines - metabolism</topic><topic>Cytokines - pharmacology</topic><topic>DNA microarrays</topic><topic>Food allergies</topic><topic>Gene expression</topic><topic>Gene Expression Profiling</topic><topic>Gene Expression Regulation - drug effects</topic><topic>Genotype & phenotype</topic><topic>Glucose</topic><topic>Health aspects</topic><topic>Human behavior</topic><topic>Humans</topic><topic>Hypersensitivity</topic><topic>Immunoglobulin E</topic><topic>Immunoglobulin E - immunology</topic><topic>Immunoglobulins</topic><topic>Interleukin 2</topic><topic>Interleukin 3</topic><topic>Interleukin 5</topic><topic>Kinases</topic><topic>Leukocytes (basophilic)</topic><topic>Nerve growth factor</topic><topic>Phosphorylation</topic><topic>Physiological aspects</topic><topic>Signal transduction</topic><topic>Signaling</topic><topic>Signatures</topic><topic>Stimuli</topic><topic>Studies</topic><topic>Transcriptome</topic><topic>Viability</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>MacGlashan, Jr, Donald</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>MacGlashan, Jr, Donald</au><au>Lang, Roland</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Expression profiling of human basophils: modulation by cytokines and secretagogues</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2015-05-11</date><risdate>2015</risdate><volume>10</volume><issue>5</issue><spage>e0126435</spage><epage>e0126435</epage><pages>e0126435-e0126435</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Human basophils are an accessible participant of the human allergic reaction. There is natural variation in various functional endpoints and in signaling molecule expression but there has been only a limited effort to place this information in the context of mRNA expression profiles. This study examined the hypothesis that unique mRNA signatures could be identified during the response of human basophils to several known forms of stimulation. Highly purified human basophils were cultured in vitro and exposed to IL-3, IL-5, NGF, IL-33, IL-2, anti-IgE Ab, or FMLP and the mRNA profiles examined by microarrays. The response to IL-3 and anti-IgE Ab were examined on 2-3 time frames and the response to IL-3 examined at several concentrations. In addition, the mRNA signatures of 3 different potential phenotypes were examined. These included basophils with the so-called non-releaser phenotype, and basophils from atopic and non-atopic subjects. Given the role of IL-3 in basophil maturation and the known profound effects on mature basophil function, it was not surprising that IL-3 showed the greatest influence on the basophil transcriptome. However, it also became apparent that the act of isolating and culturing basophils was sufficient to induce a large number of changes in the transcriptome, despite high viability and recovery. These "culture-effect" changes dominated the changes in mRNA profiles induced by other stimuli. Unique signatures for anti-IgE antibody and IL-33 could be identified although the number of gene transcripts (6-30) that were unique to these two stimuli was very limited. There were no apparent unique profiles for IL-5, NGF, IL-2 or FMLP. Therefore, a potential tool for screening basophil phenotypes was limited to changes that could be induced by IL-3 (or no IL-3), IL-33 and anti-IgE Ab.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>25962139</pmid><doi>10.1371/journal.pone.0126435</doi><oa>free_for_read</oa></addata></record> |
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subjects | Apoptosis Asthma Atopy Basophils Basophils - drug effects Basophils - immunology Basophils - metabolism Cell division Cluster Analysis Computational Biology Cytokines Cytokines - metabolism Cytokines - pharmacology DNA microarrays Food allergies Gene expression Gene Expression Profiling Gene Expression Regulation - drug effects Genotype & phenotype Glucose Health aspects Human behavior Humans Hypersensitivity Immunoglobulin E Immunoglobulin E - immunology Immunoglobulins Interleukin 2 Interleukin 3 Interleukin 5 Kinases Leukocytes (basophilic) Nerve growth factor Phosphorylation Physiological aspects Signal transduction Signaling Signatures Stimuli Studies Transcriptome Viability |
title | Expression profiling of human basophils: modulation by cytokines and secretagogues |
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