Genome-wide study of C2H2 zinc finger gene family in Medicago truncatula.

BACKGROUND: C2H2 zinc finger proteins (C2H2 ZFPs) play vital roles in shaping many aspects of plant growth and adaptation to the environment. Plant genomes harbor hundreds of C2H2 ZFPs, which compose one of the most important and largest transcription factor families in higher plants. Although the C2H2 ZFP gene family has been reported in several plant species, it has not been described in the model leguminous species Medicago truncatula. RESULTS: In this study, we identified 218 C2H2 type ZFPs with 337 individual C2H2 motifs in M. truncatula. We showed that the high rate of local gene duplication has significantly contributed to the expansion of the C2H2 gene family in M. truncatula. The identified ZFPs exhibit high variation in motif arrangement and expression pattern, suggesting that the short C2H2 zinc finger motif has been adopted as a scaffold by numerous transcription factors with different functions to recognize cis-elements. By analyzing the public expression datasets and quantitative RT-PCR (qRT-PCR), we identified several C2H2 ZFPs that are specifically expressed in certain tissues, such as the nodule, seed, and flower. CONCLUSION: Our genome-wide work revealed an expanded C2H2 ZFP gene family in an important legume M. truncatula, and provides new insights into the diversification and expansion of C2H2 ZFPs in higher plants.

Uncovering periodontitis-associated markers through the aggregation of transcriptomics information from diverse sources.

Introduction: Periodontitis, a common chronic inflammatory disease, significantly impacted oral health. To provide novel biological indicators for the diagnosis and treatment of periodontitis, we analyzed public microarray datasets to identify biomarkers associated with periodontitis. Method: The Gene Expression Omnibus (GEO) datasets GSE16134 and GSE106090 were downloaded. We performed differential analysis and robust rank aggregation (RRA) to obtain a list of differential genes. To obtain the core modules and core genes related to periodontitis, we evaluated differential genes through enrichment analysis, correlation analysis, protein-protein interaction (PPI) network and competing endogenous RNA (ceRNA) network analysis. Potential biomarkers for periodontitis were identified through comparative analysis of dual networks (PPI network and ceRNA network). PPI network analysis was performed in STRING. The ceRNA network consisted of RRA differentially expressed messenger RNAs (RRA_DEmRNAs) and RRA differentially expressed long non-coding RNAs (RRA_DElncRNAs), which regulated each other's expression by sharing microRNA (miRNA) target sites. Results: RRA_DEmRNAs were significantly enriched in inflammation-related biological processes, osteoblast differentiation, inflammatory response pathways and immunomodulatory pathways. Comparing the core ceRNA module and the core PPI module, C1QA, CENPK, CENPU and BST2 were found to be the common genes of the two core modules, and C1QA was highly correlated with inflammatory functionality. C1QA and BST2 were significantly enriched in immune-regulatory pathways. Meanwhile, LINC01133 played a significant role in regulating the expression of the core genes during the pathogenesis of periodontitis. Conclusion: The identified biomarkers C1QA, CENPK, CENPU, BST2 and LINC01133 provided valuable insight into periodontitis pathology.