• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

在银屑病中寻找基因调控网络:基于树的机器学习方法的应用。

Finding Gene Regulatory Networks in Psoriasis: Application of a Tree-Based Machine Learning Approach.

机构信息

Center for Translational Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands.

The Second Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China.

出版信息

Front Immunol. 2022 Jul 7;13:921408. doi: 10.3389/fimmu.2022.921408. eCollection 2022.

DOI:10.3389/fimmu.2022.921408
PMID:35874668
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9301015/
Abstract

Psoriasis is a chronic inflammatory skin disorder. Although it has been studied extensively, the molecular mechanisms driving the disease remain unclear. In this study, we utilized a tree-based machine learning approach to explore the gene regulatory networks underlying psoriasis. We then validated the regulators and their networks in an independent cohort. We identified some key regulators of psoriasis, which are candidates to serve as potential drug targets and disease severity biomarkers. According to the gene regulatory network that we identified, we suggest that interferon signaling represents a key pathway of psoriatic inflammation.

摘要

银屑病是一种慢性炎症性皮肤病。尽管已经进行了广泛的研究,但导致这种疾病的分子机制仍不清楚。在这项研究中,我们利用基于树的机器学习方法来探索银屑病的基因调控网络。然后,我们在一个独立的队列中验证了这些调节剂及其网络。我们确定了一些银屑病的关键调节剂,它们是潜在的药物靶点和疾病严重程度生物标志物的候选物。根据我们确定的基因调控网络,我们提出干扰素信号代表了银屑病炎症的关键途径。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb62/9301015/07abd3f56890/fimmu-13-921408-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb62/9301015/72e51ed0487c/fimmu-13-921408-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb62/9301015/a85d9e9f4360/fimmu-13-921408-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb62/9301015/705a6d633195/fimmu-13-921408-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb62/9301015/39ffc69ddbb9/fimmu-13-921408-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb62/9301015/07abd3f56890/fimmu-13-921408-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb62/9301015/72e51ed0487c/fimmu-13-921408-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb62/9301015/a85d9e9f4360/fimmu-13-921408-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb62/9301015/705a6d633195/fimmu-13-921408-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb62/9301015/39ffc69ddbb9/fimmu-13-921408-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb62/9301015/07abd3f56890/fimmu-13-921408-g005.jpg

相似文献

1
Finding Gene Regulatory Networks in Psoriasis: Application of a Tree-Based Machine Learning Approach.在银屑病中寻找基因调控网络:基于树的机器学习方法的应用。
Front Immunol. 2022 Jul 7;13:921408. doi: 10.3389/fimmu.2022.921408. eCollection 2022.
2
Deciphering the Genetic Links between Psychological Stress, Autophagy, and Dermatological Health: Insights from Bioinformatics, Single-Cell Analysis, and Machine Learning in Psoriasis and Anxiety Disorders.解析心理压力、自噬和皮肤健康之间的遗传联系:来自生物信息学、单细胞分析和机器学习在银屑病和焦虑障碍中的研究进展。
Int J Mol Sci. 2024 May 15;25(10):5387. doi: 10.3390/ijms25105387.
3
Weighted gene co-expression based biomarker discovery for psoriasis detection.基于加权基因共表达的银屑病检测生物标志物发现
Gene. 2016 Nov 15;593(1):225-234. doi: 10.1016/j.gene.2016.08.021. Epub 2016 Aug 11.
4
Network analysis of psoriasis reveals biological pathways and roles for coding and long non-coding RNAs.银屑病的网络分析揭示了编码RNA和长链非编码RNA的生物学途径及作用。
BMC Genomics. 2016 Oct 28;17(1):841. doi: 10.1186/s12864-016-3188-y.
5
Transcriptome wide analysis of long non-coding RNA-associated ceRNA regulatory circuits in psoriasis.银屑病长链非编码 RNA 相关 ceRNA 调控回路的转录组广泛分析。
J Cell Mol Med. 2021 Jul;25(14):6925-6935. doi: 10.1111/jcmm.16703. Epub 2021 Jun 2.
6
Clinical trait-connected network analysis reveals transcriptional markers of active psoriasis treatment with Liangxue-Jiedu decoction.临床特征关联网络分析揭示了凉血解毒汤治疗活动性银屑病的转录标志物。
J Ethnopharmacol. 2021 Mar 25;268:113551. doi: 10.1016/j.jep.2020.113551. Epub 2020 Nov 3.
7
The integration of large-scale public data and network analysis uncovers molecular characteristics of psoriasis.大规模公共数据和网络分析的整合揭示了银屑病的分子特征。
Hum Genomics. 2022 Nov 28;16(1):62. doi: 10.1186/s40246-022-00431-x.
8
MicroRNA profiling of psoriatic skin identifies 11 miRNAs associated with disease severity.银屑病皮肤 microRNA 谱分析鉴定出与疾病严重程度相关的 11 个 miRNA。
Exp Dermatol. 2022 Apr;31(4):535-547. doi: 10.1111/exd.14497. Epub 2021 Nov 17.
9
Identification of potential key mRNAs and LncRNAs for psoriasis by bioinformatic analysis using weighted gene co-expression network analysis.基于加权基因共表达网络分析的生物信息学分析鉴定银屑病的潜在关键 mRNAs 和 LncRNAs。
Mol Genet Genomics. 2020 May;295(3):741-749. doi: 10.1007/s00438-020-01654-0. Epub 2020 Mar 3.
10
Identification of candidate biomarkers and pathways associated with psoriasis using bioinformatics analysis.使用生物信息学分析鉴定与银屑病相关的候选生物标志物和通路。
Hereditas. 2020 Jul 15;157(1):30. doi: 10.1186/s41065-020-00141-1.

引用本文的文献

1
Identification and verification of three autophagy-related genes as potential biomarkers for the diagnosis of psoriasis.鉴定和验证三个自噬相关基因作为银屑病诊断的潜在生物标志物。
Sci Rep. 2023 Dec 21;13(1):22918. doi: 10.1038/s41598-023-49764-0.
2
Sericin coated thin polymeric films reduce keratinocyte proliferation via the mTOR pathway and epidermal inflammation through IL17 signaling in psoriasis rat model.丝胶包裹的薄聚合物薄膜通过 mTOR 通路减少银屑病大鼠模型中角质形成细胞的增殖,并通过 IL17 信号通路减轻表皮炎症。
Sci Rep. 2023 Jul 26;13(1):12133. doi: 10.1038/s41598-023-39218-y.

本文引用的文献

1
RegEnrich gene regulator enrichment analysis reveals a key role of the ETS transcription factor family in interferon signaling.RegEnrich 基因调控因子富集分析揭示了 ETS 转录因子家族在干扰素信号中的关键作用。
Commun Biol. 2022 Jan 11;5(1):31. doi: 10.1038/s42003-021-02991-5.
2
Evaluation of Psoriasis Area and Severity Index Thresholds as Proxies for Systemic Inflammation on an Individual Patient Level.评估银屑病面积和严重程度指数阈值作为个体患者水平全身炎症的替代指标。
Dermatology. 2022;238(4):609-614. doi: 10.1159/000520163. Epub 2021 Dec 1.
3
Transcriptome-based identification of novel endotypes in adult atopic dermatitis.
基于转录组学鉴定成人特应性皮炎的新型内型
Allergy. 2022 May;77(5):1486-1498. doi: 10.1111/all.15150. Epub 2021 Nov 12.
4
clusterProfiler 4.0: A universal enrichment tool for interpreting omics data.clusterProfiler 4.0:用于解释组学数据的通用富集工具。
Innovation (Camb). 2021 Jul 1;2(3):100141. doi: 10.1016/j.xinn.2021.100141. eCollection 2021 Aug 28.
5
Transcriptome wide analysis of long non-coding RNA-associated ceRNA regulatory circuits in psoriasis.银屑病长链非编码 RNA 相关 ceRNA 调控回路的转录组广泛分析。
J Cell Mol Med. 2021 Jul;25(14):6925-6935. doi: 10.1111/jcmm.16703. Epub 2021 Jun 2.
6
Manually curated and harmonised transcriptomics datasets of psoriasis and atopic dermatitis patients.经人工整理和协调的银屑病和特应性皮炎患者转录组学数据集。
Sci Data. 2020 Oct 13;7(1):343. doi: 10.1038/s41597-020-00696-8.
7
Integrated microRNA/mRNA expression profiling of the skin of psoriasis patients.银屑病患者皮肤中 microRNA/mRNA 的综合表达谱分析。
J Dermatol Sci. 2020 Jan;97(1):9-20. doi: 10.1016/j.jdermsci.2019.11.003. Epub 2019 Nov 30.
8
Integrated analysis of gene expression profiles identifies transcription factors potentially involved in psoriasis pathogenesis.基因表达谱的综合分析鉴定出潜在参与银屑病发病机制的转录因子。
J Cell Biochem. 2019 Aug;120(8):12582-12594. doi: 10.1002/jcb.28525. Epub 2019 Mar 1.
9
Atopic Dermatitis Is an IL-13-Dominant Disease with Greater Molecular Heterogeneity Compared to Psoriasis.特应性皮炎是一种以白细胞介素 13 为主导的疾病,与银屑病相比具有更大的分子异质性。
J Invest Dermatol. 2019 Jul;139(7):1480-1489. doi: 10.1016/j.jid.2018.12.018. Epub 2019 Jan 11.
10
The Interplay Between Keratinocytes and Immune Cells in the Pathogenesis of Psoriasis.角质形成细胞与免疫细胞在银屑病发病机制中的相互作用
Front Immunol. 2018 Jul 6;9:1549. doi: 10.3389/fimmu.2018.01549. eCollection 2018.