Evidence map›Paper›PMID 35273507›Full record

ArticleFrontiers in pharmacology2022

Screening and Verification of Differentially Expressed Long Non-coding RNAs in the Peripheral Blood of Patients With asthma.

Cheng Ma, Shiyuan Wang, Yuxue Cao, Weifeng Tang, Tulake Wuniqiemu, Fangzhou Teng, Xueyi Zhu, Ying Wei, Jingcheng Dong

Abstract read
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Article in Frontiers in pharmacology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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0cells of the map it votes in
5citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Cheng MaDepartment of Integrative Medicine, Huashan Hospital, Fudan University, Shanghai, China.
Shiyuan WangDepartment of Integrative Medicine, Huashan Hospital, Fudan University, Shanghai, China.
Yuxue CaoDepartment of Integrative Medicine, Huashan Hospital, Fudan University, Shanghai, China.
Weifeng TangDepartment of Integrative Medicine, Huashan Hospital, Fudan University, Shanghai, China.
Tulake WuniqiemuDepartment of Integrative Medicine, Huashan Hospital, Fudan University, Shanghai, China.
Fangzhou TengDepartment of Integrative Medicine, Huashan Hospital, Fudan University, Shanghai, China.
Xueyi ZhuDepartment of Integrative Medicine, Huashan Hospital, Fudan University, Shanghai, China.
Ying WeiDepartment of Integrative Medicine, Huashan Hospital, Fudan University, Shanghai, China.
Jingcheng DongDepartment of Integrative Medicine, Huashan Hospital, Fudan University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Growing evidence suggests that long non-coding RNAs (lncRNAs) play a key role in the pathogenesis of asthma. Although some differentially expressed lncRNAs have been identified in asthmatic patients, many asthma-related lncRNAs have not been annotated. In the present study, six patients and three healthy subjects were randomly selected from 34 asthmatic patients and 17 healthy subjects. Second-generation high-throughput sequencing was performed on their peripheral blood samples. There were 1,137 differentially expressed lncRNAs in the asthma patients compared to in the healthy controls, of which 485 were upregulated and 652 were downregulated. The top 30 enriched GO and KEGG terms were identified, and the cytosolic ribosome (GO:0022626) and ribosome (hsa03010) were associated with the most differentially expressed lncRNAs. The top 10 differentially expressed lncRNAs associated with asthma were verified by an lncRNA-mRNA co-expression network and RT-qPCR. Seven of the these (NONHSAT015495.2, MSTRG.71212.2, NONHSAT163272.1, NONHSAT181891.1, NONHSAT190964.1, ENST00000564809, and NONHSAT076890.2) were down-regulated in the peripheral blood of asthmatic patients, which was consistent with the sequencing results. Three patients and three healthy subjects were randomly selected from the remaining subjects to verify these seven lncRNAs by RT-qPCR, which further confirmed the sequencing results. Public database GSE106230 was also in agreement with the FPKM (Fragments Per kilobase of exon model per Million mapped reads) trends of ENST00000564809, NONHSAT015495.2, NONHSAT181891.1, and NONHSAT190964.1. In conclusion, the present study identified seven lncRNAs that may serve as potential biological markers for asthma.

Indexed as

asthmabioinformaticsfull transcriptome sequencinglncRNAsmRNAs

Identifiers

PMID35273507
PMCPMC8902465

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