Author: Lien, Gi-Shih; Liu, Jen-Fang; Chien, Ming-Hsien; Hsu, Wei-Tse; Chang, Tzu-Hao; Ku, Chia-Chi; Ji, Andrea Tung-Qian; Tan, Peng; Hsieh, Ting-Lieh; Lee, Liang-Ming; Ho, Jennifer H
Title: The ability to suppress macrophage-mediated inflammation in orbital fat stem cells is controlled by miR-671-5p Document date: 2014_8_13
ID: 1i6hni9s_21
Snippet: Sequencing analysis was performed in OFSCs from three different donors using the Illumina Solexa sequencer, and a total read of 25,068,914 was generated from each sample. The FASTX-Toolkit [25] was used to trim adapter sequences and remove low-quality reads. miRDeep2 [26] was used to identify miRNAs, and the expression of miRNAs were normalized to obtain the expression of transcripts per million. A total of 439 miRNAs in miR-Base [27] were detect.....
Document: Sequencing analysis was performed in OFSCs from three different donors using the Illumina Solexa sequencer, and a total read of 25,068,914 was generated from each sample. The FASTX-Toolkit [25] was used to trim adapter sequences and remove low-quality reads. miRDeep2 [26] was used to identify miRNAs, and the expression of miRNAs were normalized to obtain the expression of transcripts per million. A total of 439 miRNAs in miR-Base [27] were detected in OFSCs, and 34 out of 439 miRNAs was selected as highly expressed miRNAs. miRTar [28] was applied to predict interactions between the 34 highly expressed miRNAs and genes involved in secreted immunomodulating factors in MSCs (IL-6, IL-10, IDO, HGF, TGFβs, sTNFRI, sTNFRII, and IL-1RA) or proinflammatory cytokines in macrophages (TNF-α, IFN-γ, IL-1α, IL-1β), respectively. miRanda [29] was applied for analysis of miRNA-target interactions, and generated the minimal free energy and alignment score.
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