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Usage Information

MicroRNA-148a facilitates inflammatory dendritic cell differentiation and autoimmunity by targeting MAFB
Yao Meng, Jun Li, Zhizhong Ye, Zhihua Yin, Qing Sun, Zhuojun Liao, Guanhua Li, Jun Deng, Lu Liu, Yuqing Yu, Li Wu, Haibo Zhou, Nan Shen
Yao Meng, Jun Li, Zhizhong Ye, Zhihua Yin, Qing Sun, Zhuojun Liao, Guanhua Li, Jun Deng, Lu Liu, Yuqing Yu, Li Wu, Haibo Zhou, Nan Shen
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Research Article Dermatology

MicroRNA-148a facilitates inflammatory dendritic cell differentiation and autoimmunity by targeting MAFB

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Abstract

Monocyte-derived DCs (moDCs) have been implicated in the pathogenesis of autoimmunity, but the molecular pathways determining the differentiation potential of these cells remain unclear. Here, we report that microRNA-148a (miR-148a) serves as a critical regulator for moDC differentiation. First, miR-148a deficiency impaired the moDC development in vitro and in vivo. A mechanism study showed that MAFB, a transcription factor that hampers moDC differentiation, was a direct target of miR-148a. In addition, a promoter study identified that miR-148a could be transcriptionally induced by PU.1, which is crucial for moDC generation. miR-148a ablation eliminated the inhibition of PU.1 on MAFB. Furthermore, we found that miR-148a increased in monocytes from patients with psoriasis, and miR-148a deficiency or intradermal injection of antagomir-148a immensely alleviated the development of psoriasis-like symptoms in a psoriasis-like mouse model. Therefore, these results identify a pivotal role for the PU.1-miR-148a-MAFB circuit in moDC differentiation and suggest a potential therapeutic avenue for autoimmunity.

Authors

Yao Meng, Jun Li, Zhizhong Ye, Zhihua Yin, Qing Sun, Zhuojun Liao, Guanhua Li, Jun Deng, Lu Liu, Yuqing Yu, Li Wu, Haibo Zhou, Nan Shen

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Usage data is cumulative from June 2025 through June 2026.

Usage JCI PMC
Text version 1,499 102
PDF 181 20
Figure 813 13
Supplemental data 86 13
Citation downloads 176 0
Totals 2,755 148
Total Views 2,903
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Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.

Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.

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