Article(id=1208106715300602394, tenantId=1146029695717560320, journalId=1189873630562394117, issueId=1208106710208717234, articleNumber=null, orderNo=null, doi=10.11855/j.issn.0577-7402.2022.04.0326, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=research-article, receivedDate=1615824000000, receivedDateStr=2021-03-16, revisedDate=null, revisedDateStr=null, acceptedDate=1626192000000, acceptedDateStr=2021-07-14, onlineDate=1765964686465, onlineDateStr=2025-12-17, pubDate=1651075200000, pubDateStr=2022-04-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1765964686465, onlineIssueDateStr=2025-12-17, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1765964686465, creator=13701087609, updateTime=1765964686465, updator=13701087609, issue=Issue{id=1208106710208717234, tenantId=1146029695717560320, journalId=1189873630562394117, year='2022', volume='47', issue='4', pageStart='321', pageEnd='426', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1765964685250, creator=13701087609, updateTime=1765964685250, updator=13701087609, preIssue=null, nextIssue=null, ext=null, issueFiles=null}, startPage=326, endPage=333, ext={EN=ArticleExt(id=1208106715711644208, articleId=1208106715300602394, tenantId=1146029695717560320, journalId=1189873630562394117, language=EN, title=Effect of
Rickettsia heilongjiangensis infection on the transcription of immune-related genes in the spleen of mice, columnId=1190310110212751762, journalTitle=Medical Journal of Chinese People’s Liberation Army, columnName=Basic Research, runingTitle=null, highlight=null, articleAbstract=
Objective To screen key targets modulating the progression of Rickettsia heilongjiang infection using a mouse infection model by profiling the transcription expression dynamics of immune-related genes. Methods A total of 20 female C3H/HeN mice were randomized into 4 groups (5 mice/group): 0 hpi (hours post-infection), 3 hpi, 3 dpi (days post-infection), and 6 dpi. Animals were infected with 5×106 CFU Rickettsia heilongjiangensis intravenously. We harvested and extracted total RNA from spleens of animals at the indicated time points. After sequencing the total RNA, we further analyzed the sequencing results by GO annotation, R language enrichment, and KEGG visualization function analysis. Results A total of 19 930 mRNAs were specifically transcribed in the spleen post-infection. Using GO annotation and enrichment, we identified three types of immune-related genes with significant changes: first, 35 innate immune-related genes, among which the transcription of irg1 and gbp10 genes involved in the IFN-γ signaling pathway rises most significantly (P<0.05); second, 31 acquired immune-related genes, among which the transcription of gzmb gene involved in the apoptosis pathway rises most significantly (P<0.05); third, 41 inflammatory responses related genes, among which the transcription of ccl4 gene involved in cytokine and cytokine receptor signaling pathway rises most significantly (P<0.05). Conclusions The irg1 and gbp10 genes involved in the IFN-γ signaling pathway, the gzmb gene involved in the apoptosis pathway, and the ccl4 gene involved in the cytokine and cytokine receptor signaling pathway affect the pathogenesis of Rickettsia heilongjiangensis infection.
, correspAuthors=Xuan Ouyang, Xiao-Lu Xiong, authorNote=null, correspAuthorsNote=
, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, authorCompany=null, fund=null, authors=null, authorsList=Yong-Hui Yu, Chang-Song Duan, Jun Jiao, Yue-E Zhao, Dong-Sheng Zhou, Bo-Hai Wen, Xuan Ouyang, Xiao-Lu Xiong), CN=ArticleExt(id=1208106716907020922, articleId=1208106715300602394, tenantId=1146029695717560320, journalId=1189873630562394117, language=CN, title=黑龙江立克次体感染对小鼠脾脏免疫相关基因转录的影响, columnId=1190310110472798614, journalTitle=解放军医学杂志, columnName=基础研究, runingTitle=null, highlight=null, articleAbstract=
目的 分析黑龙江立克次体感染小鼠脾脏免疫相关基因的转录变化,筛选影响黑龙江立克次体感染致病进程的关键靶标。方法 取20只雌性C3H/HeN小鼠,随机分为未感染组(0 hpi)、感染3 h组(3 hpi)、感染3 d组(3 dpi)及感染6 d组(6 dpi),每组5只,采用尾静脉注射法感染黑龙江立克次体,在4个时相点解剖小鼠取脾,提取总RNA进行测序,筛选出特异性转录基因并进行GO注释、R语言富集及KEGG可视化功能分析。结果 小鼠感染黑龙江立克次体后,脾脏有219 930个mRNA发生了特异性转录,通过GO注释及富集筛选出显著性变化的3类基因:(1)35个天然免疫相关基因,其中参与γ干扰素(IFN-γ)信号通路的irg1、gbp10基因转录上调最明显(P<0.05);(2)31个获得性免疫相关基因,其中参与细胞凋亡通路的gzmb基因转录上调最明显(P<0.05);(3)41个炎症反应相关基因,其中参与细胞因子与细胞因子受体信号通路的ccl4基因转录上调最明显(P<0.05)。结论 宿主IFN-γ信号通路中的irg1、gbp10基因,细胞凋亡通路中的gzmb基因,细胞因子及细胞因子受体信号通路中的ccl4基因影响黑龙江立克次体感染的致病进程。
, correspAuthors=欧阳譞, 熊小路, authorNote=null, correspAuthorsNote=
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于永慧,硕士研究生,主要从事立克次体与胞内寄生菌致病机制方面的研究
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小鼠感染黑龙江立克次体后3个时相免疫相关特异性转录基因分析A. 天然免疫相关基因;B. 获得性免疫相关基因;C. 炎症反应相关基因;D. 维恩图
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R language enrichment analysis of immune-related transcriptional differential genes, figureFileSmall=4lZJD5Z8w4XF3VYigkQDnw==, figureFileBig=rblTAOYzibaXpj5NkIqeeQ==, tableContent=null), ArticleFig(id=1208435601347555342, tenantId=1146029695717560320, journalId=1189873630562394117, articleId=1208106715300602394, language=CN, label=图4, caption=
免疫相关转录差异基因的R语言富集分析, figureFileSmall=4lZJD5Z8w4XF3VYigkQDnw==, figureFileBig=rblTAOYzibaXpj5NkIqeeQ==, tableContent=null), ArticleFig(id=1208435602551320592, tenantId=1146029695717560320, journalId=1189873630562394117, articleId=1208106715300602394, language=EN, label=Fig. 5, caption=
KEGG visual function analysis of cytokine-cytokine receptor interaction signaling pathway红色星号代表差异表达基因, figureFileSmall=JkyxIa7anB4UjaRpby2JtQ==, figureFileBig=Vn6/kJznG2jkaOWA0ZNEcA==, tableContent=null), ArticleFig(id=1208435602626818066, tenantId=1146029695717560320, journalId=1189873630562394117, articleId=1208106715300602394, language=CN, label=图5, caption=
细胞因子-细胞因子受体相互作用信号通路的KEGG可视化功能分析, figureFileSmall=JkyxIa7anB4UjaRpby2JtQ==, figureFileBig=Vn6/kJznG2jkaOWA0ZNEcA==, tableContent=null), ArticleFig(id=1208435602693926932, tenantId=1146029695717560320, journalId=1189873630562394117, articleId=1208106715300602394, language=EN, label=Tab. 1, caption=
The number of transcripts and multi-exon after clearing redundant reads
, figureFileSmall=null, figureFileBig=null, tableContent=
| 样本 | 连接点 | 转录本 | 多外显子 | 多外显子/转录本 |
|---|
| 0 hpi | 150 234 | 97 944 | 28 278 | 0.288 716 |
| 3 hpi | 167 634 | 112 675 | 28 340 | 0.251 520 |
| 3 dpi | 171 886 | 84 773 | 27 258 | 0.321 541 |
| 6 dpi | 170 676 | 79 931 | 27 011 | 0.337 929 |
| 合并 | – | 219 930 | 69 035 | 0.313 900 |
), ArticleFig(id=1208435602807173142, tenantId=1146029695717560320, journalId=1189873630562394117, articleId=1208106715300602394, language=CN, label=表1, caption=
清除冗余reads后的转录本及多外显子数目
, figureFileSmall=null, figureFileBig=null, tableContent=
| 样本 | 连接点 | 转录本 | 多外显子 | 多外显子/转录本 |
|---|
| 0 hpi | 150 234 | 97 944 | 28 278 | 0.288 716 |
| 3 hpi | 167 634 | 112 675 | 28 340 | 0.251 520 |
| 3 dpi | 171 886 | 84 773 | 27 258 | 0.321 541 |
| 6 dpi | 170 676 | 79 931 | 27 011 | 0.337 929 |
| 合并 | – | 219 930 | 69 035 | 0.313 900 |
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