ArticleBMC systems biology2010
Integrated network analysis of transcriptomic and proteomic data in psoriasis.
Article in BMC systems biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 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
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Who cites it
29 citing papers in PubMed.
- Biomarkers for diagnosis, disease progression, and therapeutic response in psoriasis vulgaris: A mini-review.Narra J · 2026Review
- miR‑155 promotes an inflammatory response in HaCaT cells via the IRF2BP2/KLF2/NF‑κB pathway in psoriasis.International journal of molecular medicine · 2024Article
- Assessment of Treatment-Relevant Immune Biomarkers in Psoriasis and Atopic Dermatitis: Toward Personalized Medicine in Dermatology.The Journal of investigative dermatology · 2023Review
- Proteomic and Metabolomic Changes in Psoriasis Preclinical and Clinical Aspects.International journal of molecular sciences · 2023Review
- Multi-Omics Research Strategies for Psoriasis and Atopic Dermatitis.International journal of molecular sciences · 2023Review
- Identification of novel immune subtypes and potential hub genes of patients with psoriasis.Journal of translational medicine · 2023Article
- Integrated transcriptome-proteome analyses of human stem cells reveal source-dependent differences in their regenerative signature.Stem cell reports · 2023Article
- The integration of large-scale public data and network analysis uncovers molecular characteristics of psoriasis.Human genomics · 2022Article
- Proteomic Studies of Psoriasis.Biomedicines · 2022Review
- Effects of Autophagy Modulators and Dioxin on the Expression of Epidermal Differentiation Proteins on Psoriasis-Like Keratinocytes in vitro and ex vivo.Clinical, cosmetic and investigational dermatology · 2022Article
- LC-MS/MS analysis of lesional and normally looking psoriatic skin reveals significant changes in protein metabolism and RNA processing.PloS one · 2021Article
- Using Micro- and Macro-Level Network Metrics Unveils Top Communicative Gene Modules in Psoriasis.Genes · 2020Article
- Comprehensive Proteomic Analysis Reveals Intermediate Stage of Non-Lesional Psoriatic Skin and Points out the Importance of Proteins Outside this Trend.Scientific reports · 2019Observational
- Molecular Mechanisms and Management of a Cutaneous Inflammatory Disorder: Psoriasis.International journal of molecular sciences · 2017Review
- Prediction of chemo-response in serous ovarian cancer.Molecular cancer · 2016Article
- Biomarkers of An Autoimmune Skin Disease--Psoriasis.Genomics, proteomics & bioinformatics · 2015Review
- Cytokines in psoriasis.Cytokine · 2015Review
- Proteomics of skin proteins in psoriasis: from discovery and verification in a mouse model to confirmation in humans.Molecular & cellular proteomics : MCP · 2015Article
- Psoriasis.Cold Spring Harbor perspectives in medicine · 2014Review
- Study on Certain Biomarkers of Inflammation in Psoriasis Through "OMICS" Platforms.The open biochemistry journal · 2014Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPsoriasis is complex inflammatory skin pathology of autoimmune origin. Several cell types are perturbed in this pathology, and underlying signaling events are complex and still poorly understood.
resultsIn order to gain insight into molecular machinery underlying the disease, we conducted a comprehensive meta-analysis of proteomics and transcriptomics of psoriatic lesions from independent studies. Network-based analysis revealed similarities in regulation at both proteomics and transcriptomics level. We identified a group of transcription factors responsible for overexpression of psoriasis genes and a number of previously unknown signaling pathways that may play a role in this process. We also evaluated functional synergy between transcriptomics and proteomics results.
conclusionsWe developed network-based methodology for integrative analysis of high throughput data sets of different types. Investigation of proteomics and transcriptomics data sets on psoriasis revealed versatility in regulatory machinery underlying pathology and showed complementarities between two levels of cellular organization.
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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.