4.7 Article

Transcriptome Analysis of Psoriasis in a Large Case-Control Sample: RNA-Seq Provides Insights into Disease Mechanisms

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JOURNAL OF INVESTIGATIVE DERMATOLOGY
卷 134, 期 7, 页码 1828-1838

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ELSEVIER SCIENCE INC
DOI: 10.1038/jid.2014.28

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资金

  1. NIH [R01 AR042742, R01 AR050511, AR054966, K08 AR060802, K01 AR064765-01]
  2. Ann Arbor Veterans Affairs Hospital
  3. Dermatology Foundation
  4. Frances and Kenneth Eisenberg Emerging Scholar Fund
  5. National Psoriasis Foundation
  6. Dawn and Dudley Holmes Memorial Fund
  7. Babcock Endowment Fund

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To increase our understanding of psoriasis, we used high-throughput complementary DNA sequencing (RNA-seq) to assay the transcriptomes of lesional psoriatic and normal skin. We sequenced polyadenylated RNA-derived complementary DNAs from 92 psoriatic and 82 normal punch biopsies, generating an average of similar to 38 million single-end 80-bp reads per sample. Comparison of 42 samples examined by both RNA-seq and microarray revealed marked differences in sensitivity, with transcripts identified only by RNA-seq having much lower expression than those also identified by microarray. RNA-seq identified many more differentially expressed transcripts enriched in immune system processes. Weighted gene coexpression network analysis (WGCNA) revealed multiple modules of coordinately expressed epidermal differentiation genes, overlapping significantly with genes regulated by the long noncoding RNA TINCR, its target gene, staufen-1 (STAU1), the p63 target gene ZNF750, and its target KLF4. Other coordinately expressed modules were enriched for lymphoid and/or myeloid signature transcripts and genes induced by IL-17 in keratinocytes. Dermally expressed genes were significantly downregulated in psoriatic biopsies, most likely because of expansion of the epidermal compartment. These results show the power of WGCNA to elucidate gene regulatory circuits in psoriasis, and emphasize the influence of tissue architecture in both differential expression and coexpression analysis.

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