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Genomewide differential expression profiling of long non‐coding RNA s in androgenetic alopecia in a Chinese male population
Author(s) -
Bao L.,
Yu A.,
Luo Y.,
Tian T.,
Dong Y.,
Zong H.,
Chen H.,
Gao X.,
Xu X.,
Li Y.
Publication year - 2017
Publication title -
journal of the european academy of dermatology and venereology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.655
H-Index - 107
eISSN - 1468-3083
pISSN - 0926-9959
DOI - 10.1111/jdv.14278
Subject(s) - rna , long non coding rna , microarray analysis techniques , genetics , non coding rna , biology , microarray , downregulation and upregulation , gene expression , transcription (linguistics) , gene , computational biology , medicine , linguistics , philosophy
Background Androgenetic alopecia ( AGA ), or male pattern baldness ( MPB ), is the most common form of hair loss in males. A combination of genetic and androgen causes have been suggested as factors that contribute to the development of AGA . However, the specific molecular mechanisms that underly AGA remain largely unknown. Long non‐coding RNA s (lnc RNA s), a new class of regulatory non‐coding RNA s that are longer than 200 nucleotides, have been shown to play important roles in a number of cellular processes, including transcription, chromosome remodelling and post‐transcriptional processing. The dysregulation of lnc RNA s is associated with many forms of diseases, but it remains unknown whether lnc RNA s are associated with AGA . Objective The aim of this study was to identify AGA ‐associated lnc RNA s and predict the potential roles of these lnc RNA s in AGA . Methods A genomewide microarray was used to identify lnc RNA s that are differentially expressed between AGA and adjacent normal tissues. Real‐time qRT ‐ PCR was used to validate the microarray data. Results A large number of lnc RNA s were differentially expressed (fold change >2.4) between AGA and adjacent normal tissues. Of these, 770 were upregulated and 1373 were downregulated. Moreover, pathway analysis revealed that 53 functional pathways were associated with the upregulated transcripts, while 11 pathways were associated with the downregulated transcripts. Conclusion To our knowledge, this is the first study to investigate AGA ‐associated lnc RNA s. lnc RNA profiles are altered in AGA , and these lnc RNA s and their target genes may serve as novel candidates for preventing and treating AGA .