MicroRNA expression profile of Lacrimal Glands in rabbit autoimmune dacryoadenitis model.
MicroRNA expression profile of Lacrimal Glands in rabbit autoimmune dacryoadenitis model.
复制标题
兔自身免疫性泪腺炎模型泪腺的MicroRNA表达谱
DOI：
10.7150/ijms.50248
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发表时间：
2020
影响因子：
3.6
通讯作者：
Nian H
中科院分区：
文献类型：
--
作者：
Liu B;Zhao L;Wei Y;Chen S;Bian L;Guo D;Gao M;Nian H
目的：探讨microRNAs(MiRs)及其相关基因网络和信号通路在兔自身免疫性泪腺炎泪腺中的差异表达。方法：用活化的外周血淋巴细胞(PBL)转移诱导兔自身免疫性泪腺炎模型。收集正常组和模型组兔LGs，进行小RNA测序。通过实时定量聚合酶链式反应(qRT-PCR)对差异表达最多的miRs进行验证。此外，还进行了生物信息学分析，包括靶基因预测、基因本体论(GO)术语和京都基因和基因组百科全书(KEGG)途径浓缩分析。结果：与正常对照组相比，15个miRs在兔自身免疫性泪腺炎的泪腺中有不同程度的表达。GO和KEGG分析表明，这些调控异常的miRs的大多数靶基因都与MAPK信号通路有关。结论：首次发现差异表达的miRs及其相关途径参与了兔自身免疫性泪腺炎的发病机制。这些结果可能有助于阐明干燥综合征(SS)干眼的分子发病机制。
Purpose: To identify the differential expression of microRNAs (miRs) and the related gene networks and signal pathways in lacrimal glands (LGs) of rabbit autoimmune dacryoadenitis. Methods: Autoimmune dacryoadenitis in rabbits was induced by transferring activated peripheral blood lymphocytes (PBLs). The LGs of normal and model group rabbits were collected for small RNA sequencing. The most differentially expressed miRs were validated by quantitative real time-polymerase chain reaction (qRT-PCR). Further, bioinformatics analysis including target gene prediction, Gene Ontology (GO) terms and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed. Results: A total of 15 miRs were differentially expressed in the LGs of rabbit autoimmune dacryoadenitis relative to normal controls. GO and KEGG analysis revealed that most target genes of these dysregulated miRs were implicated in MAPK signaling pathway. Conclusion: Our results showed for the first time the differentially expressed miRs and the related pathways involved in the pathogenesis of rabbit autoimmune dacryoadenitis. These results may contribute to elucidating molecular pathogenesis of Sjögren's syndrome (SS) dry eye.
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人脐带间充质干细胞通过将巨噬细胞极化为抗炎表型来缓解兔子持续的自身免疫性泪腺炎。
影响因子：
3.4
作者：
Lu X;Li N;Zhao L;Guo D;Yi H;Yang L;Liu X;Sun D;Nian H;Wei R
通讯作者：
Wei R
影响因子：
4.4
作者：
Kim, Yu Jeong;Yeon, Yeji;Kang, Min Ho
通讯作者：
Kang, Min Ho
影响因子：
3.4
作者：
De Paiva, Cintia S.;Corrales, Rosa M.;Pfiugfelder, Stephen C.
通讯作者：
Pfiugfelder, Stephen C.
影响因子：
4.8
作者：
Khalafalla, Mahmoud G.;Woods, Lucas T.;Weisman, Gary A.
通讯作者：
Weisman, Gary A.
影响因子：
6.4
作者：
Foulks, Gary N.;Forstot, S. Lance;Jacobs, Deborah S.
通讯作者：
Jacobs, Deborah S.