ArticleThe Journal of investigative dermatology2014
RNA-seq permits a closer look at normal skin and psoriasis gene networks.
Article in The Journal of investigative dermatology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed.
- Review-Current Concepts in Inflammatory Skin Diseases Evolved by Transcriptome Analysis: In-Depth Analysis of Atopic Dermatitis and Psoriasis.International journal of molecular sciences · 2020Review
- The importance of the neuro-immuno-cutaneous system on human skin equivalent design.Cell proliferation · 2019Review
- Integrated computational approach to the analysis of RNA-seq data reveals new transcriptional regulators of psoriasis.Experimental & molecular medicine · 2016Article
- Analysis of long non-coding RNAs highlights tissue-specific expression patterns and epigenetic profiles in normal and psoriatic skin.Genome biology · 2015Article
Corrections and comments
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Authors and funding
1 author.
Funding
Abstract
Psoriasis is a chronic inflammatory skin disease driven by aberrant signals from the immune system. In this issue, Li et al. present the first large RNA-seq analysis of gene expression in normal skin and psoriasis lesions, providing a more comprehensive view of mRNA expression than earlier microarray studies. This study's size enables gene co-expression analysis, a method illustrating which pathways are altered by the presence of disease.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.