ArticleJournal of dental research2021
Cell Type-Specific Decomposition of Gingival Tissue Transcriptomes.
Article in Journal of dental research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed, 18 citations in OpenAlex.
- Precision periodontology in clinical practice: bridging omics and clinical decision-making.Clinical oral investigations · 2026Review
- Identification and Validation of Aging- and Endoplasmic Reticulum Stress-Related Genes in Periodontitis Using a Competing Endogenous RNA Network.Inflammation · 2025Article
- Myeloid dendritic cells and periodontal disease association: integrated study of single-cell sequencing and Mendelian randomization analysis.Frontiers in immunology · 2024Article
- Yunnan Baiyao Might Mitigate Periodontitis Bone Destruction by Inhibiting Autophagy and Promoting Osteoblast Differentiation in vivo, ex vivo and in vitro.Journal of inflammation research · 2024Article
- Gingival transcriptomic patterns of macrophage polarization during initiation, progression, and resolution of periodontitis.Clinical and experimental immunology · 2023Article
- Decoding the role of macrophages in periodontitis and type 2 diabetes using single-cell RNA-sequencing.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2022Article
- Gingival Transcriptome of Innate Antimicrobial Factors and the Oral Microbiome With Aging and Periodontitis.Frontiers in oral health · 2022Article
- Comparative Analysis of Gene Expression Patterns for Oral Epithelial Cell Functions in Periodontitis.Frontiers in oral health · 2022Article
- Differential DNA methylation and mRNA transcription in gingival tissues in periodontal health and disease.Journal of clinical periodontology · 2021Article
- Comparing gradient boosting and neural networks in the prediction of intersecting genes in gingival epithelial immunity.Journal of Indian Society of PeriodontologyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 4 institutions in 3 countries.
Funding
Abstract
Genome-wide transcriptomic analyses in whole tissues reflect the aggregate gene expression in heterogeneous cell populations comprising resident and migratory cells, and they are unable to identify cell type-specific information. We used a computational method (population-specific expression analysis [PSEA]) to decompose gene expression in gingival tissues into cell type-specific signatures for 8 cell types (epithelial cells, fibroblasts, endothelial cells, neutrophils, monocytes/macrophages, plasma cells, T cells, and B cells). We used a gene expression data set generated using microarrays from 120 persons (310 tissue samples; 241 periodontitis affected and 69 healthy). Decomposition of the whole-tissue transcriptomes identified differentially expressed genes in each of the cell types, which mapped to biologically relevant pathways, including dysregulation of Th17 cell differentiation, AGE-RAGE signaling, and epithelial-mesenchymal transition in epithelial cells. We validated selected PSEA-predicted, differentially expressed genes in purified gingival epithelial cells and B cells from an unrelated cohort (
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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.