Integrated expression profiles of mRNA and miRNA in polarized primary murine microglia
Neuroinflammation contributes to many neurologic disorders including Alzheimer's disease, multiple sclerosis, and stroke. Microglia is brain resident myeloid cells and have emerged as a key driver of the neuroinflammatory responses. MicroRNAs (miRNAs) provide a novel layer of gene regulation an...
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description | Neuroinflammation contributes to many neurologic disorders including Alzheimer's disease, multiple sclerosis, and stroke. Microglia is brain resident myeloid cells and have emerged as a key driver of the neuroinflammatory responses. MicroRNAs (miRNAs) provide a novel layer of gene regulation and play a critical role in regulating the inflammatory response of peripheral macrophages. However, little is known about the miRNA in inflammatory activation of microglia. To elucidate the role that miRNAs have on microglial phenotypes under classical (M1) or alternative (M2) activation under lipopolysaccharide ('M1'-skewing) and interleukin-4 ('M2a'-skewing) stimulation conditions, we performed microarray expression profiling and bioinformatics analysis of both mRNA and miRNA using primary cultured murine microglia. miR-689, miR-124, and miR-155 were the most strongly associated miRNAs predicted to mediate pro-inflammatory pathways and M1-like activation phenotype. miR-155, the most strongly up-regulated miRNA, regulates the signal transducer and activator of transcription 3 signaling pathway enabling the late phase response to M1-skewing stimulation. Reduced expression in miR-689 and miR-124 are associated with dis-inhibition of many canonical inflammatory pathways. miR-124, miR-711, miR-145 are the strongly associated miRNAs predicted to mediate anti-inflammatory pathways and M2-like activation phenotype. Reductions in miR-711 and miR-124 may regulate inflammatory signaling pathways and peroxisome proliferator-activated receptor-gamma pathway. miR-145 potentially regulate peripheral monocyte/macrophage differentiation and faciliate the M2-skewing phenotype. Overall, through combined miRNA and mRNA expression profiling and bioinformatics analysis we have identified six miRNAs and their putative roles in M1 and M2-skewing of microglial activation through different signaling pathways. |
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Microglia is brain resident myeloid cells and have emerged as a key driver of the neuroinflammatory responses. MicroRNAs (miRNAs) provide a novel layer of gene regulation and play a critical role in regulating the inflammatory response of peripheral macrophages. However, little is known about the miRNA in inflammatory activation of microglia. To elucidate the role that miRNAs have on microglial phenotypes under classical (M1) or alternative (M2) activation under lipopolysaccharide ('M1'-skewing) and interleukin-4 ('M2a'-skewing) stimulation conditions, we performed microarray expression profiling and bioinformatics analysis of both mRNA and miRNA using primary cultured murine microglia. miR-689, miR-124, and miR-155 were the most strongly associated miRNAs predicted to mediate pro-inflammatory pathways and M1-like activation phenotype. miR-155, the most strongly up-regulated miRNA, regulates the signal transducer and activator of transcription 3 signaling pathway enabling the late phase response to M1-skewing stimulation. Reduced expression in miR-689 and miR-124 are associated with dis-inhibition of many canonical inflammatory pathways. miR-124, miR-711, miR-145 are the strongly associated miRNAs predicted to mediate anti-inflammatory pathways and M2-like activation phenotype. Reductions in miR-711 and miR-124 may regulate inflammatory signaling pathways and peroxisome proliferator-activated receptor-gamma pathway. miR-145 potentially regulate peripheral monocyte/macrophage differentiation and faciliate the M2-skewing phenotype. Overall, through combined miRNA and mRNA expression profiling and bioinformatics analysis we have identified six miRNAs and their putative roles in M1 and M2-skewing of microglial activation through different signaling pathways.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0079416</identifier><identifier>PMID: 24244499</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Alzheimer's disease ; Alzheimers disease ; Analysis ; Animals ; Atherosclerosis ; Bioinformatics ; Brain ; Cell activation ; Cluster Analysis ; Computational Biology ; Cytokines ; DNA microarrays ; Female ; Gene expression ; Gene Expression Profiling ; Gene Expression Regulation - drug effects ; Gene regulation ; Genes ; Genotype & phenotype ; Immune system ; Inflammation ; Inflammatory response ; Interleukin ; Interleukin 4 ; Interleukin-4 - pharmacology ; Interleukins ; Kinases ; Laboratories ; Lipopolysaccharides ; Lipopolysaccharides - pharmacology ; Macrophages ; Medicine ; Messenger RNA ; Mice ; Microglia ; Microglia - drug effects ; Microglia - metabolism ; MicroRNA ; MicroRNAs - genetics ; miRNA ; Mitogens ; Models, Biological ; Monocytes ; Morphology ; Multiple sclerosis ; Myeloid cells ; Nervous system diseases ; Pathways ; Pharmacology ; Phenotype ; Phenotypes ; Pregnancy ; Profiling ; Reproducibility of Results ; RNA Interference ; RNA, Messenger - genetics ; Rodents ; Signal transduction ; Signaling ; Stimulation ; Stroke ; Transcription ; Transcriptome ; Wound healing</subject><ispartof>PloS one, 2013-11, Vol.8 (11), p.e79416</ispartof><rights>COPYRIGHT 2013 Public Library of Science</rights><rights>2013 Freilich et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/3.0/ (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 Freilich et al 2013 Freilich et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c758t-436510ca52535001dd57810f7177c9ab209ef41234c15b87bfbb6992ae4c5b7c3</citedby><cites>FETCH-LOGICAL-c758t-436510ca52535001dd57810f7177c9ab209ef41234c15b87bfbb6992ae4c5b7c3</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/PMC3823621/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3823621/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2102,2928,23866,27924,27925,53791,53793,79600,79601</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24244499$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Khoury, Joseph El</contributor><creatorcontrib>Freilich, Robert W</creatorcontrib><creatorcontrib>Woodbury, Maya E</creatorcontrib><creatorcontrib>Ikezu, Tsuneya</creatorcontrib><title>Integrated expression profiles of mRNA and miRNA in polarized primary murine microglia</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Neuroinflammation contributes to many neurologic disorders including Alzheimer's disease, multiple sclerosis, and stroke. Microglia is brain resident myeloid cells and have emerged as a key driver of the neuroinflammatory responses. MicroRNAs (miRNAs) provide a novel layer of gene regulation and play a critical role in regulating the inflammatory response of peripheral macrophages. However, little is known about the miRNA in inflammatory activation of microglia. To elucidate the role that miRNAs have on microglial phenotypes under classical (M1) or alternative (M2) activation under lipopolysaccharide ('M1'-skewing) and interleukin-4 ('M2a'-skewing) stimulation conditions, we performed microarray expression profiling and bioinformatics analysis of both mRNA and miRNA using primary cultured murine microglia. miR-689, miR-124, and miR-155 were the most strongly associated miRNAs predicted to mediate pro-inflammatory pathways and M1-like activation phenotype. miR-155, the most strongly up-regulated miRNA, regulates the signal transducer and activator of transcription 3 signaling pathway enabling the late phase response to M1-skewing stimulation. Reduced expression in miR-689 and miR-124 are associated with dis-inhibition of many canonical inflammatory pathways. miR-124, miR-711, miR-145 are the strongly associated miRNAs predicted to mediate anti-inflammatory pathways and M2-like activation phenotype. Reductions in miR-711 and miR-124 may regulate inflammatory signaling pathways and peroxisome proliferator-activated receptor-gamma pathway. miR-145 potentially regulate peripheral monocyte/macrophage differentiation and faciliate the M2-skewing phenotype. Overall, through combined miRNA and mRNA expression profiling and bioinformatics analysis we have identified six miRNAs and their putative roles in M1 and M2-skewing of microglial activation through different signaling pathways.</description><subject>Alzheimer's disease</subject><subject>Alzheimers disease</subject><subject>Analysis</subject><subject>Animals</subject><subject>Atherosclerosis</subject><subject>Bioinformatics</subject><subject>Brain</subject><subject>Cell activation</subject><subject>Cluster Analysis</subject><subject>Computational Biology</subject><subject>Cytokines</subject><subject>DNA microarrays</subject><subject>Female</subject><subject>Gene expression</subject><subject>Gene Expression Profiling</subject><subject>Gene Expression Regulation - drug effects</subject><subject>Gene regulation</subject><subject>Genes</subject><subject>Genotype & phenotype</subject><subject>Immune system</subject><subject>Inflammation</subject><subject>Inflammatory response</subject><subject>Interleukin</subject><subject>Interleukin 4</subject><subject>Interleukin-4 - pharmacology</subject><subject>Interleukins</subject><subject>Kinases</subject><subject>Laboratories</subject><subject>Lipopolysaccharides</subject><subject>Lipopolysaccharides - pharmacology</subject><subject>Macrophages</subject><subject>Medicine</subject><subject>Messenger RNA</subject><subject>Mice</subject><subject>Microglia</subject><subject>Microglia - drug effects</subject><subject>Microglia - metabolism</subject><subject>MicroRNA</subject><subject>MicroRNAs - genetics</subject><subject>miRNA</subject><subject>Mitogens</subject><subject>Models, Biological</subject><subject>Monocytes</subject><subject>Morphology</subject><subject>Multiple sclerosis</subject><subject>Myeloid cells</subject><subject>Nervous system diseases</subject><subject>Pathways</subject><subject>Pharmacology</subject><subject>Phenotype</subject><subject>Phenotypes</subject><subject>Pregnancy</subject><subject>Profiling</subject><subject>Reproducibility of Results</subject><subject>RNA Interference</subject><subject>RNA, Messenger - genetics</subject><subject>Rodents</subject><subject>Signal transduction</subject><subject>Signaling</subject><subject>Stimulation</subject><subject>Stroke</subject><subject>Transcription</subject><subject>Transcriptome</subject><subject>Wound healing</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>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNqNkl2L1DAUhoso7jr6D0QLguDFjPls2hthWPwYWFxYdW9Dmp50MrRNTVpZ_fWmTneZgoLkIiHned8cTt4keY7RBlOB3x7c6DvVbHrXwQYhUTCcPUjOcUHJOiOIPjw5nyVPQjggxGmeZY-TM8IIY6wozpObXTdA7dUAVQq3vYcQrOvS3jtjGwipM2l7_Xmbqq5KWzudbKy6Rnn7K0p6b1vlf6bt6G0HkdDe1Y1VT5NHRjUBns37Kvn24f3Xi0_ry6uPu4vt5VoLng9rRjOOkVaccMoRwlXFRY6REVgIXaiSoAIMw4QyjXmZi9KUZVYURAHTvBSarpKXR9--cUHOIwkSs8ktI5hGYnckKqcOcu5XOmXlnwvna6n8YHUDEkwGuFJFXkDGBFOKIUNIVeWIMawJRK9382tj2UKloRu8ahamy0pn97J2PyTNCZ26WSWvZgPvvo8Qhn-0PFO1il3ZzrhoplsbtNwykVOCOWKR2vyFiquC-A0xFNMHLgVvFoLIDHA71GoMQe6-XP8_e3WzZF-fsHtQzbAPrhmHGKSwBNkRjCEJwYO5nxxGcsr03TTklGk5ZzrKXpxO_V50F2L6G4Hs8Ks</recordid><startdate>20131111</startdate><enddate>20131111</enddate><creator>Freilich, Robert W</creator><creator>Woodbury, Maya E</creator><creator>Ikezu, Tsuneya</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>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>20131111</creationdate><title>Integrated expression profiles of mRNA and miRNA in polarized primary murine microglia</title><author>Freilich, Robert W ; Woodbury, Maya E ; Ikezu, Tsuneya</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c758t-436510ca52535001dd57810f7177c9ab209ef41234c15b87bfbb6992ae4c5b7c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Alzheimer's disease</topic><topic>Alzheimers disease</topic><topic>Analysis</topic><topic>Animals</topic><topic>Atherosclerosis</topic><topic>Bioinformatics</topic><topic>Brain</topic><topic>Cell activation</topic><topic>Cluster Analysis</topic><topic>Computational Biology</topic><topic>Cytokines</topic><topic>DNA microarrays</topic><topic>Female</topic><topic>Gene expression</topic><topic>Gene Expression Profiling</topic><topic>Gene Expression Regulation - drug effects</topic><topic>Gene regulation</topic><topic>Genes</topic><topic>Genotype & phenotype</topic><topic>Immune system</topic><topic>Inflammation</topic><topic>Inflammatory response</topic><topic>Interleukin</topic><topic>Interleukin 4</topic><topic>Interleukin-4 - pharmacology</topic><topic>Interleukins</topic><topic>Kinases</topic><topic>Laboratories</topic><topic>Lipopolysaccharides</topic><topic>Lipopolysaccharides - pharmacology</topic><topic>Macrophages</topic><topic>Medicine</topic><topic>Messenger RNA</topic><topic>Mice</topic><topic>Microglia</topic><topic>Microglia - drug effects</topic><topic>Microglia - metabolism</topic><topic>MicroRNA</topic><topic>MicroRNAs - genetics</topic><topic>miRNA</topic><topic>Mitogens</topic><topic>Models, Biological</topic><topic>Monocytes</topic><topic>Morphology</topic><topic>Multiple sclerosis</topic><topic>Myeloid cells</topic><topic>Nervous system diseases</topic><topic>Pathways</topic><topic>Pharmacology</topic><topic>Phenotype</topic><topic>Phenotypes</topic><topic>Pregnancy</topic><topic>Profiling</topic><topic>Reproducibility of Results</topic><topic>RNA Interference</topic><topic>RNA, Messenger - genetics</topic><topic>Rodents</topic><topic>Signal transduction</topic><topic>Signaling</topic><topic>Stimulation</topic><topic>Stroke</topic><topic>Transcription</topic><topic>Transcriptome</topic><topic>Wound healing</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Freilich, Robert W</creatorcontrib><creatorcontrib>Woodbury, Maya E</creatorcontrib><creatorcontrib>Ikezu, Tsuneya</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>Science (Gale in Context)</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>ProQuest Nursing and Allied Health Journals</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>ProQuest Health and Medical</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>ProQuest 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)</collection><collection>ProQuest Central</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>ProQuest 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</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>https://resources.nclive.org/materials</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - 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Microglia is brain resident myeloid cells and have emerged as a key driver of the neuroinflammatory responses. MicroRNAs (miRNAs) provide a novel layer of gene regulation and play a critical role in regulating the inflammatory response of peripheral macrophages. However, little is known about the miRNA in inflammatory activation of microglia. To elucidate the role that miRNAs have on microglial phenotypes under classical (M1) or alternative (M2) activation under lipopolysaccharide ('M1'-skewing) and interleukin-4 ('M2a'-skewing) stimulation conditions, we performed microarray expression profiling and bioinformatics analysis of both mRNA and miRNA using primary cultured murine microglia. miR-689, miR-124, and miR-155 were the most strongly associated miRNAs predicted to mediate pro-inflammatory pathways and M1-like activation phenotype. miR-155, the most strongly up-regulated miRNA, regulates the signal transducer and activator of transcription 3 signaling pathway enabling the late phase response to M1-skewing stimulation. Reduced expression in miR-689 and miR-124 are associated with dis-inhibition of many canonical inflammatory pathways. miR-124, miR-711, miR-145 are the strongly associated miRNAs predicted to mediate anti-inflammatory pathways and M2-like activation phenotype. Reductions in miR-711 and miR-124 may regulate inflammatory signaling pathways and peroxisome proliferator-activated receptor-gamma pathway. miR-145 potentially regulate peripheral monocyte/macrophage differentiation and faciliate the M2-skewing phenotype. Overall, through combined miRNA and mRNA expression profiling and bioinformatics analysis we have identified six miRNAs and their putative roles in M1 and M2-skewing of microglial activation through different signaling pathways.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>24244499</pmid><doi>10.1371/journal.pone.0079416</doi><tpages>e79416</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Alzheimer's disease Alzheimers disease Analysis Animals Atherosclerosis Bioinformatics Brain Cell activation Cluster Analysis Computational Biology Cytokines DNA microarrays Female Gene expression Gene Expression Profiling Gene Expression Regulation - drug effects Gene regulation Genes Genotype & phenotype Immune system Inflammation Inflammatory response Interleukin Interleukin 4 Interleukin-4 - pharmacology Interleukins Kinases Laboratories Lipopolysaccharides Lipopolysaccharides - pharmacology Macrophages Medicine Messenger RNA Mice Microglia Microglia - drug effects Microglia - metabolism MicroRNA MicroRNAs - genetics miRNA Mitogens Models, Biological Monocytes Morphology Multiple sclerosis Myeloid cells Nervous system diseases Pathways Pharmacology Phenotype Phenotypes Pregnancy Profiling Reproducibility of Results RNA Interference RNA, Messenger - genetics Rodents Signal transduction Signaling Stimulation Stroke Transcription Transcriptome Wound healing |
title | Integrated expression profiles of mRNA and miRNA in polarized primary murine microglia |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-28T06%3A21%3A17IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Integrated%20expression%20profiles%20of%20mRNA%20and%20miRNA%20in%20polarized%20primary%20murine%20microglia&rft.jtitle=PloS%20one&rft.au=Freilich,%20Robert%20W&rft.date=2013-11-11&rft.volume=8&rft.issue=11&rft.spage=e79416&rft.pages=e79416-&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0079416&rft_dat=%3Cgale_plos_%3EA478321504%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1450016213&rft_id=info:pmid/24244499&rft_galeid=A478321504&rft_doaj_id=oai_doaj_org_article_ef6e1da989e6474aa40f22dd80441c2e&rfr_iscdi=true |