Differential gene expression in peripheral blood T cells from patients with psoriasis, lichen planus, and atopic dermatitis

Li, Xinhua; Li, Junqin; Yang, Yaru; Hou, Ruixia; Liu, Ruifeng; Zhao, Xincheng; Yan, Xin; Yin, Guohua; An, Peng; Wang, Yong; Zhang, Kaiming

doi:10.1016/j.jaad.2013.06.030

Cited by 18 publications

(13 citation statements)

References 29 publications

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“…Although most psoriasis-specific DEGs in skin were found in psoriatic keratinocytes [192], PBMCs are an easily accessible specimen which may provide additional insights. Indeed, PBMCs from psoriasis patients show a dysregulated transcriptomic state [193][194][195]. Tan et al noted the potential role of complement factors by comparing psoriasis and rheumatoid arthritis [196].…”

Section: Cross-disease Studies Define a Core Molecular Profilementioning

confidence: 99%

Review—Current Concepts in Inflammatory Skin Diseases Evolved by Transcriptome Analysis: In-Depth Analysis of Atopic Dermatitis and Psoriasis

Schwingen

Kaplan

Kurschus

2020

IJMS

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During the last decades, high-throughput assessment of gene expression in patient tissues using microarray technology or RNA-Seq took center stage in clinical research. Insights into the diversity and frequency of transcripts in healthy and diseased conditions provide valuable information on the cellular status in the respective tissues. Growing with the technique, the bioinformatic analysis toolkit reveals biologically relevant pathways which assist in understanding basic pathophysiological mechanisms. Conventional classification systems of inflammatory skin diseases rely on descriptive assessments by pathologists. In contrast to this, molecular profiling may uncover previously unknown disease classifying features. Thereby, treatments and prognostics of patients may be improved. Furthermore, disease models in basic research in comparison to the human disease can be directly validated. The aim of this article is not only to provide the reader with information on the opportunities of these techniques, but to outline potential pitfalls and technical limitations as well. Major published findings are briefly discussed to provide a broad overview on the current findings in transcriptomics in inflammatory skin diseases.

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Section: Cross-disease Studies Define a Core Molecular Profilementioning

confidence: 99%

Review—Current Concepts in Inflammatory Skin Diseases Evolved by Transcriptome Analysis: In-Depth Analysis of Atopic Dermatitis and Psoriasis

Schwingen

Kaplan

Kurschus

2020

IJMS

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“…It is within the 1q25.3 region belonging to the family of RGS genes, which increases the GTPase activity of the Ga subunit to attenuate signaling from the GPCR Li et al, 2013b;Wu et al, 2013). RGS16 is found in the rat heart, where its expression is rapidly induced in cardiomyocytes by different stimuli mediated by Rho GTPases, and is under negative control of the transcription factor YY1 (Patten et al, 2002;Stuebe et al, 2008) and brain, predominantly in the suprachiasmatic nucleus (SCN) and thalamus (Grafstein-Dunn et al, 2001), and mouse liver and pituitary Huang et al, 2006;Kurrasch et al, 2004).…”

Section: Rgs16mentioning

confidence: 99%

Regulators of G-Protein-Signaling Proteins: Negative Modulators of G-Protein-Coupled Receptor Signaling

Woodard

Jardín

Berna‐Erro

et al. 2015

International Review of Cell and Molecular Biology

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“…Peripheral blood T cells were cultured, stimulated and identified as described in our previous study. 14 Strep-SAg was prepared as previously described. 15 T cells were seeded in 24well culture plates (Corning, Corning, NY, USA).…”

Section: Peripheral Blood T-cell Proliferation and Stimulationmentioning

confidence: 99%

Psoriatic T cells reduce epidermal turnover time and affect cell proliferation contributed from differential gene expression

Hou

et al. 2015

The Journal of Dermatology

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Psoriasis is mediated primarily by T cells, which reduce epidermal turnover time and affect keratinocyte proliferation. We aimed to identify differentially expressed genes (DEG) in T cells from normal, five pairs of monozygotic twins concordant or discordant for psoriasis, to determine whether these DEG may account for the influence to epidermal turnover time and keratinocyte proliferation. The impact of T cells on keratinocyte proliferation and epidermal turnover time were investigated separately by immunohistochemistry and cultured with 3 H-TdR. mRNA expression patterns were investigated by RNA sequencing and verified by real-time reverse transcription polymerase chain reaction. After co-culture with psoriatic T cells, the expression of Ki-67, c-Myc and p53 increased, while expression of Bcl-2 and epidermal turnover time decreased. There were 14 DEG which were found to participate in the regulation of cell proliferation or differentiation. Psoriatic T cells exhibited the ability to decrease epidermal turnover time and affect keratinocyte proliferation because of the differential expression of PPIL1, HSPH1, SENP3, NUP54, FABP5, PLEKHG3, SLC9A9 and CHCHD4.

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Differential gene expression in peripheral blood T cells from patients with psoriasis, lichen planus, and atopic dermatitis

Cited by 18 publications

References 29 publications

Review—Current Concepts in Inflammatory Skin Diseases Evolved by Transcriptome Analysis: In-Depth Analysis of Atopic Dermatitis and Psoriasis

Review—Current Concepts in Inflammatory Skin Diseases Evolved by Transcriptome Analysis: In-Depth Analysis of Atopic Dermatitis and Psoriasis

Regulators of G-Protein-Signaling Proteins: Negative Modulators of G-Protein-Coupled Receptor Signaling

Psoriatic T cells reduce epidermal turnover time and affect cell proliferation contributed from differential gene expression

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