Long Noncoding RNA Expression Profile in BV2 Microglial Cells Exposed to Lipopolysaccharide
Neuropathic pain, which is one of the most common forms of chronic pain, seriously increases healthcare costs and impairs patients’ quality of life with an incidence of 7–10% worldwide. Microglia cell activation plays a key role in the progression of neuropathic pain. Better understanding of novel m...
Gespeichert in:
| Veröffentlicht in: | BioMed research international 2019-01, Vol.2019 (2019), p.1-9 |
|---|---|
| Hauptverfasser: | , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 9 |
|---|---|
| container_issue | 2019 |
| container_start_page | 1 |
| container_title | BioMed research international |
| container_volume | 2019 |
| creator | Li, Shengde Wang, Cunjuan Li, Qingmin Li, Yajuan Yu, Lingzhi |
| description | Neuropathic pain, which is one of the most common forms of chronic pain, seriously increases healthcare costs and impairs patients’ quality of life with an incidence of 7–10% worldwide. Microglia cell activation plays a key role in the progression of neuropathic pain. Better understanding of novel molecules modulating microglia cell activation and these underlying functions will extremely benefit the exploration of new treatment. Recent studies suggested long noncoding RNAs may be involved in neuropathic pain. However, its underlying functions and mechanisms in microglia cell activation remain unclear. To identify the differentially expressed lncRNAs and predict their functions in the progression of microglia cell activation, GSE103156 was analyzed using integrated bioinformatics methods. The expression levels of selected lncRNAs and mRNAs were determined by real-time PCR. In the present study, a total of 56 lncRNAs and 298 mRNAs were significantly differentially expressed. The differentially expressed mRNAs were mainly enriched in NF-kappa B signaling pathway, TNF signaling pathway, Toll-like receptor signaling pathway, and NOD-like receptor signaling pathway. The top 10 hub genes were Tnf, Il6, Stat1, Cxcl10, Il1b, Tlr2, Irf1, Ccl2, Irf7, and Ccl5 in the PPI network. Our results showed that Gm8989, Gm8979, and AV051173 may be involved in the progression of microglia cell activation. Taken together, our findings suggest that lots of lncRNAs may be involved in BV2 microglia cell activation in vitro. The findings may provide relevant information for the development of promising targets for the microglial cells activation of neuropathic pain in vivo in the future. |
| doi_str_mv | 10.1155/2019/5387407 |
| format | Article |
| fullrecord | <record><control><sourceid>gale_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6594345</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A612030557</galeid><sourcerecordid>A612030557</sourcerecordid><originalsourceid>FETCH-LOGICAL-c499t-4076cf732c03a35995caf3435307cf9ea22bfbaa244818c226993cfc65d792823</originalsourceid><addsrcrecordid>eNqN0cFvUyEcB_AXo3HL3M2zIfFionXAD3iPi0lt5mbSTWPUiwdCedCyUHiD1m3_vdR2nXqSCyR88uX349c0zwl-SwjnJxQTecKhaxluHzWHFAgbCcLI4_0Z4KA5LuUK19URgaV42hwAASwJFofNj2mKc3SZokm9r6cvl2N0ejtkW4pPEX3OyflgkY_o_XeKLrzJaR68DmhiQygbmort0SqhqR_SkMJd0cYsdPa9fdY8cToUe7zbj5pvH06_Ts5H009nHyfj6cgwKVejWrowrgVqMGjgUnKjHTDggFvjpNWUztxMa8pYRzpDqZASjDOC962kHYWj5t02d1jPlrY3Nq6yDmrIfqnznUraq79vol-oefqpBJcMGK8Br3YBOV2vbVmppS-mNqijTeuiKOVdCwz_pi__oVdpnWNtryrGmcDA2IOa62CVjy7Vd80mVI0FoRgw521Vb7aqfmop2bp9yQSrzXjVZrxqN97KX_zZ5h7fD7OC11uw8LHXN_4_42w11ukHTajAmMIvqDq0DA</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2245460344</pqid></control><display><type>article</type><title>Long Noncoding RNA Expression Profile in BV2 Microglial Cells Exposed to Lipopolysaccharide</title><source>MEDLINE</source><source>Wiley Open Access</source><source>PubMed Central</source><source>Alma/SFX Local Collection</source><source>PubMed Central Open Access</source><creator>Li, Shengde ; Wang, Cunjuan ; Li, Qingmin ; Li, Yajuan ; Yu, Lingzhi</creator><contributor>De Rosa, Maria C.</contributor><creatorcontrib>Li, Shengde ; Wang, Cunjuan ; Li, Qingmin ; Li, Yajuan ; Yu, Lingzhi ; De Rosa, Maria C.</creatorcontrib><description>Neuropathic pain, which is one of the most common forms of chronic pain, seriously increases healthcare costs and impairs patients’ quality of life with an incidence of 7–10% worldwide. Microglia cell activation plays a key role in the progression of neuropathic pain. Better understanding of novel molecules modulating microglia cell activation and these underlying functions will extremely benefit the exploration of new treatment. Recent studies suggested long noncoding RNAs may be involved in neuropathic pain. However, its underlying functions and mechanisms in microglia cell activation remain unclear. To identify the differentially expressed lncRNAs and predict their functions in the progression of microglia cell activation, GSE103156 was analyzed using integrated bioinformatics methods. The expression levels of selected lncRNAs and mRNAs were determined by real-time PCR. In the present study, a total of 56 lncRNAs and 298 mRNAs were significantly differentially expressed. The differentially expressed mRNAs were mainly enriched in NF-kappa B signaling pathway, TNF signaling pathway, Toll-like receptor signaling pathway, and NOD-like receptor signaling pathway. The top 10 hub genes were Tnf, Il6, Stat1, Cxcl10, Il1b, Tlr2, Irf1, Ccl2, Irf7, and Ccl5 in the PPI network. Our results showed that Gm8989, Gm8979, and AV051173 may be involved in the progression of microglia cell activation. Taken together, our findings suggest that lots of lncRNAs may be involved in BV2 microglia cell activation in vitro. The findings may provide relevant information for the development of promising targets for the microglial cells activation of neuropathic pain in vivo in the future.</description><identifier>ISSN: 2314-6133</identifier><identifier>EISSN: 2314-6141</identifier><identifier>DOI: 10.1155/2019/5387407</identifier><identifier>PMID: 31309106</identifier><language>eng</language><publisher>Cairo, Egypt: Hindawi Publishing Corporation</publisher><subject>Adapter proteins ; Animals ; Antisense RNA ; Bioinformatics ; Cell activation ; Cell Line ; Chronic pain ; CXCL10 protein ; Gene expression ; Gene Expression Profiling - methods ; Genes ; Health care ; Interferon regulatory factor 1 ; Interferon regulatory factor 7 ; Interleukin 1 ; Interleukin 6 ; Lipopolysaccharides ; Lipopolysaccharides - pharmacology ; Medical care ; Mice ; Microglia ; Microglia - drug effects ; Microglial cells ; Mitogens ; Monocyte chemoattractant protein 1 ; Neuralgia ; Neuralgia - genetics ; NF-κB protein ; Pain ; Pathogenesis ; Quality management ; Quality of life ; Ribonucleic acid ; RNA ; RNA, Long Noncoding - genetics ; RNA, Messenger - genetics ; Signal transduction ; Signal Transduction - drug effects ; Signal Transduction - genetics ; Signaling ; Stat1 protein ; TLR2 protein ; Toll-like receptors ; Transcription factors ; Transcriptome - drug effects ; Transcriptome - genetics</subject><ispartof>BioMed research international, 2019-01, Vol.2019 (2019), p.1-9</ispartof><rights>Copyright © 2019 Yajuan Li et al.</rights><rights>COPYRIGHT 2019 John Wiley & Sons, Inc.</rights><rights>Copyright © 2019 Yajuan Li et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0</rights><rights>Copyright © 2019 Yajuan Li et al. 2019</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c499t-4076cf732c03a35995caf3435307cf9ea22bfbaa244818c226993cfc65d792823</citedby><cites>FETCH-LOGICAL-c499t-4076cf732c03a35995caf3435307cf9ea22bfbaa244818c226993cfc65d792823</cites><orcidid>0000-0001-9163-6335 ; 0000-0001-8591-8766 ; 0000-0001-8206-3694</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6594345/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6594345/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31309106$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>De Rosa, Maria C.</contributor><creatorcontrib>Li, Shengde</creatorcontrib><creatorcontrib>Wang, Cunjuan</creatorcontrib><creatorcontrib>Li, Qingmin</creatorcontrib><creatorcontrib>Li, Yajuan</creatorcontrib><creatorcontrib>Yu, Lingzhi</creatorcontrib><title>Long Noncoding RNA Expression Profile in BV2 Microglial Cells Exposed to Lipopolysaccharide</title><title>BioMed research international</title><addtitle>Biomed Res Int</addtitle><description>Neuropathic pain, which is one of the most common forms of chronic pain, seriously increases healthcare costs and impairs patients’ quality of life with an incidence of 7–10% worldwide. Microglia cell activation plays a key role in the progression of neuropathic pain. Better understanding of novel molecules modulating microglia cell activation and these underlying functions will extremely benefit the exploration of new treatment. Recent studies suggested long noncoding RNAs may be involved in neuropathic pain. However, its underlying functions and mechanisms in microglia cell activation remain unclear. To identify the differentially expressed lncRNAs and predict their functions in the progression of microglia cell activation, GSE103156 was analyzed using integrated bioinformatics methods. The expression levels of selected lncRNAs and mRNAs were determined by real-time PCR. In the present study, a total of 56 lncRNAs and 298 mRNAs were significantly differentially expressed. The differentially expressed mRNAs were mainly enriched in NF-kappa B signaling pathway, TNF signaling pathway, Toll-like receptor signaling pathway, and NOD-like receptor signaling pathway. The top 10 hub genes were Tnf, Il6, Stat1, Cxcl10, Il1b, Tlr2, Irf1, Ccl2, Irf7, and Ccl5 in the PPI network. Our results showed that Gm8989, Gm8979, and AV051173 may be involved in the progression of microglia cell activation. Taken together, our findings suggest that lots of lncRNAs may be involved in BV2 microglia cell activation in vitro. The findings may provide relevant information for the development of promising targets for the microglial cells activation of neuropathic pain in vivo in the future.</description><subject>Adapter proteins</subject><subject>Animals</subject><subject>Antisense RNA</subject><subject>Bioinformatics</subject><subject>Cell activation</subject><subject>Cell Line</subject><subject>Chronic pain</subject><subject>CXCL10 protein</subject><subject>Gene expression</subject><subject>Gene Expression Profiling - methods</subject><subject>Genes</subject><subject>Health care</subject><subject>Interferon regulatory factor 1</subject><subject>Interferon regulatory factor 7</subject><subject>Interleukin 1</subject><subject>Interleukin 6</subject><subject>Lipopolysaccharides</subject><subject>Lipopolysaccharides - pharmacology</subject><subject>Medical care</subject><subject>Mice</subject><subject>Microglia</subject><subject>Microglia - drug effects</subject><subject>Microglial cells</subject><subject>Mitogens</subject><subject>Monocyte chemoattractant protein 1</subject><subject>Neuralgia</subject><subject>Neuralgia - genetics</subject><subject>NF-κB protein</subject><subject>Pain</subject><subject>Pathogenesis</subject><subject>Quality management</subject><subject>Quality of life</subject><subject>Ribonucleic acid</subject><subject>RNA</subject><subject>RNA, Long Noncoding - genetics</subject><subject>RNA, Messenger - genetics</subject><subject>Signal transduction</subject><subject>Signal Transduction - drug effects</subject><subject>Signal Transduction - genetics</subject><subject>Signaling</subject><subject>Stat1 protein</subject><subject>TLR2 protein</subject><subject>Toll-like receptors</subject><subject>Transcription factors</subject><subject>Transcriptome - drug effects</subject><subject>Transcriptome - genetics</subject><issn>2314-6133</issn><issn>2314-6141</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>RHX</sourceid><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNqN0cFvUyEcB_AXo3HL3M2zIfFionXAD3iPi0lt5mbSTWPUiwdCedCyUHiD1m3_vdR2nXqSCyR88uX349c0zwl-SwjnJxQTecKhaxluHzWHFAgbCcLI4_0Z4KA5LuUK19URgaV42hwAASwJFofNj2mKc3SZokm9r6cvl2N0ejtkW4pPEX3OyflgkY_o_XeKLrzJaR68DmhiQygbmort0SqhqR_SkMJd0cYsdPa9fdY8cToUe7zbj5pvH06_Ts5H009nHyfj6cgwKVejWrowrgVqMGjgUnKjHTDggFvjpNWUztxMa8pYRzpDqZASjDOC962kHYWj5t02d1jPlrY3Nq6yDmrIfqnznUraq79vol-oefqpBJcMGK8Br3YBOV2vbVmppS-mNqijTeuiKOVdCwz_pi__oVdpnWNtryrGmcDA2IOa62CVjy7Vd80mVI0FoRgw521Vb7aqfmop2bp9yQSrzXjVZrxqN97KX_zZ5h7fD7OC11uw8LHXN_4_42w11ukHTajAmMIvqDq0DA</recordid><startdate>20190101</startdate><enddate>20190101</enddate><creator>Li, Shengde</creator><creator>Wang, Cunjuan</creator><creator>Li, Qingmin</creator><creator>Li, Yajuan</creator><creator>Yu, Lingzhi</creator><general>Hindawi Publishing Corporation</general><general>Hindawi</general><general>John Wiley & Sons, Inc</general><general>Hindawi Limited</general><scope>ADJCN</scope><scope>AHFXO</scope><scope>RHU</scope><scope>RHW</scope><scope>RHX</scope><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>3V.</scope><scope>7QL</scope><scope>7QO</scope><scope>7T7</scope><scope>7TK</scope><scope>7U7</scope><scope>7U9</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>CWDGH</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>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0001-9163-6335</orcidid><orcidid>https://orcid.org/0000-0001-8591-8766</orcidid><orcidid>https://orcid.org/0000-0001-8206-3694</orcidid></search><sort><creationdate>20190101</creationdate><title>Long Noncoding RNA Expression Profile in BV2 Microglial Cells Exposed to Lipopolysaccharide</title><author>Li, Shengde ; Wang, Cunjuan ; Li, Qingmin ; Li, Yajuan ; Yu, Lingzhi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c499t-4076cf732c03a35995caf3435307cf9ea22bfbaa244818c226993cfc65d792823</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Adapter proteins</topic><topic>Animals</topic><topic>Antisense RNA</topic><topic>Bioinformatics</topic><topic>Cell activation</topic><topic>Cell Line</topic><topic>Chronic pain</topic><topic>CXCL10 protein</topic><topic>Gene expression</topic><topic>Gene Expression Profiling - methods</topic><topic>Genes</topic><topic>Health care</topic><topic>Interferon regulatory factor 1</topic><topic>Interferon regulatory factor 7</topic><topic>Interleukin 1</topic><topic>Interleukin 6</topic><topic>Lipopolysaccharides</topic><topic>Lipopolysaccharides - pharmacology</topic><topic>Medical care</topic><topic>Mice</topic><topic>Microglia</topic><topic>Microglia - drug effects</topic><topic>Microglial cells</topic><topic>Mitogens</topic><topic>Monocyte chemoattractant protein 1</topic><topic>Neuralgia</topic><topic>Neuralgia - genetics</topic><topic>NF-κB protein</topic><topic>Pain</topic><topic>Pathogenesis</topic><topic>Quality management</topic><topic>Quality of life</topic><topic>Ribonucleic acid</topic><topic>RNA</topic><topic>RNA, Long Noncoding - genetics</topic><topic>RNA, Messenger - genetics</topic><topic>Signal transduction</topic><topic>Signal Transduction - drug effects</topic><topic>Signal Transduction - genetics</topic><topic>Signaling</topic><topic>Stat1 protein</topic><topic>TLR2 protein</topic><topic>Toll-like receptors</topic><topic>Transcription factors</topic><topic>Transcriptome - drug effects</topic><topic>Transcriptome - genetics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Shengde</creatorcontrib><creatorcontrib>Wang, Cunjuan</creatorcontrib><creatorcontrib>Li, Qingmin</creatorcontrib><creatorcontrib>Li, Yajuan</creatorcontrib><creatorcontrib>Yu, Lingzhi</creatorcontrib><collection>الدوريات العلمية والإحصائية - e-Marefa Academic and Statistical Periodicals</collection><collection>معرفة - المحتوى العربي الأكاديمي المتكامل - e-Marefa Academic Complete</collection><collection>Hindawi Publishing Complete</collection><collection>Hindawi Publishing Subscription Journals</collection><collection>Hindawi Publishing Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Neurosciences Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>ProQuest Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</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>ProQuest Central (Alumni)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Database (1962 - current)</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>Middle East & Africa Database</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>Biological Sciences</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>ProQuest advanced technologies & aerospace journals</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>BioMed research international</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Shengde</au><au>Wang, Cunjuan</au><au>Li, Qingmin</au><au>Li, Yajuan</au><au>Yu, Lingzhi</au><au>De Rosa, Maria C.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Long Noncoding RNA Expression Profile in BV2 Microglial Cells Exposed to Lipopolysaccharide</atitle><jtitle>BioMed research international</jtitle><addtitle>Biomed Res Int</addtitle><date>2019-01-01</date><risdate>2019</risdate><volume>2019</volume><issue>2019</issue><spage>1</spage><epage>9</epage><pages>1-9</pages><issn>2314-6133</issn><eissn>2314-6141</eissn><abstract>Neuropathic pain, which is one of the most common forms of chronic pain, seriously increases healthcare costs and impairs patients’ quality of life with an incidence of 7–10% worldwide. Microglia cell activation plays a key role in the progression of neuropathic pain. Better understanding of novel molecules modulating microglia cell activation and these underlying functions will extremely benefit the exploration of new treatment. Recent studies suggested long noncoding RNAs may be involved in neuropathic pain. However, its underlying functions and mechanisms in microglia cell activation remain unclear. To identify the differentially expressed lncRNAs and predict their functions in the progression of microglia cell activation, GSE103156 was analyzed using integrated bioinformatics methods. The expression levels of selected lncRNAs and mRNAs were determined by real-time PCR. In the present study, a total of 56 lncRNAs and 298 mRNAs were significantly differentially expressed. The differentially expressed mRNAs were mainly enriched in NF-kappa B signaling pathway, TNF signaling pathway, Toll-like receptor signaling pathway, and NOD-like receptor signaling pathway. The top 10 hub genes were Tnf, Il6, Stat1, Cxcl10, Il1b, Tlr2, Irf1, Ccl2, Irf7, and Ccl5 in the PPI network. Our results showed that Gm8989, Gm8979, and AV051173 may be involved in the progression of microglia cell activation. Taken together, our findings suggest that lots of lncRNAs may be involved in BV2 microglia cell activation in vitro. The findings may provide relevant information for the development of promising targets for the microglial cells activation of neuropathic pain in vivo in the future.</abstract><cop>Cairo, Egypt</cop><pub>Hindawi Publishing Corporation</pub><pmid>31309106</pmid><doi>10.1155/2019/5387407</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0001-9163-6335</orcidid><orcidid>https://orcid.org/0000-0001-8591-8766</orcidid><orcidid>https://orcid.org/0000-0001-8206-3694</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 2314-6133 |
| ispartof | BioMed research international, 2019-01, Vol.2019 (2019), p.1-9 |
| issn | 2314-6133 2314-6141 |
| language | eng |
| recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6594345 |
| source | MEDLINE; Wiley Open Access; PubMed Central; Alma/SFX Local Collection; PubMed Central Open Access |
| subjects | Adapter proteins Animals Antisense RNA Bioinformatics Cell activation Cell Line Chronic pain CXCL10 protein Gene expression Gene Expression Profiling - methods Genes Health care Interferon regulatory factor 1 Interferon regulatory factor 7 Interleukin 1 Interleukin 6 Lipopolysaccharides Lipopolysaccharides - pharmacology Medical care Mice Microglia Microglia - drug effects Microglial cells Mitogens Monocyte chemoattractant protein 1 Neuralgia Neuralgia - genetics NF-κB protein Pain Pathogenesis Quality management Quality of life Ribonucleic acid RNA RNA, Long Noncoding - genetics RNA, Messenger - genetics Signal transduction Signal Transduction - drug effects Signal Transduction - genetics Signaling Stat1 protein TLR2 protein Toll-like receptors Transcription factors Transcriptome - drug effects Transcriptome - genetics |
| title | Long Noncoding RNA Expression Profile in BV2 Microglial Cells Exposed to Lipopolysaccharide |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-07T20%3A11%3A37IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Long%20Noncoding%20RNA%20Expression%20Profile%20in%20BV2%20Microglial%20Cells%20Exposed%20to%20Lipopolysaccharide&rft.jtitle=BioMed%20research%20international&rft.au=Li,%20Shengde&rft.date=2019-01-01&rft.volume=2019&rft.issue=2019&rft.spage=1&rft.epage=9&rft.pages=1-9&rft.issn=2314-6133&rft.eissn=2314-6141&rft_id=info:doi/10.1155/2019/5387407&rft_dat=%3Cgale_pubme%3EA612030557%3C/gale_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2245460344&rft_id=info:pmid/31309106&rft_galeid=A612030557&rfr_iscdi=true |