Modulation of β-catenin levels regulates cranial neural crest patterning and dispersal into first pharyngeal arch

Transcriptome profiles associated with human periodontal ligament differentiation

OBJECTIVES

Tissue differentiation is regulated by transcription factors. This study aimed to identify candidate transcription factors that induce periodontal ligament (PDL) cell differentiation in human pluripotent stem cells (hPSCs).

METHODS

Human PDL tissues were scraped from the root surfaces of extracted teeth for orthodontic treatment and cultured using the explant culture method. We used RNA-seq to generate gene expression profiles of third-passage PDL cells and compared them with those of undifferentiated human induced pluripotent stem cells (hiPSCs) and human embryonic stem cell (hESC)-derived neural crest (NC) cells (publicly available data).

RESULTS

Primary cultured PDL cells exhibited a spindle-shaped fibroblast-like appearance and the gene expression of several PDL cell-specific markers. The gene expression profiles of PDL cells were relatively similar to those of hESC-derived NC cells but not those of undifferentiated hiPSCs. Thirty-seven transcription factors were identified as upregulated genes in PDL cells. Pathway analysis showed that differentially expressed genes were enriched in several functional groups and pathways, including the SMAD 2/3 nuclear pathway.

CONCLUSIONS

We identified 37 upregulated transcription genes in primary cultured PDL cells compared with hESC-derived NC cells. Regulating these genes and the SMAD signaling pathway may be promising ways to induce PDL cells from hPSC-derived NC cells.

Bioinformatics Analysis of Hub Genes Involved in Alcohol-Related Hemifacial Microsomia Pathogenesis

OBJECTIVE

Alcohol is a recognized teratogen, and alcohol exposure increases the risk for hemifacial microsomia (HFM) of the fetus during maternal pregnancy. The present study aimed to explore potential mechanisms and verify hub genes of HFM associated with alcohol by bioinformatics methods.

METHODS

First, HFM and alcohol pathogenic genes were obtained. Thereafter, a protein-protein interactional (PPI) network was constructed. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses and molecular complex detection were performed by Metascape. Finally, we used the cytoHubba plugin to screen the hub genes.

RESULTS

A total of 43 HFM genes and 50 optimal alcohol candidate genes were selected. The PPI networks for pathogenic genes contained 93 nodes and 503 edges. Functional enrichment analysis largely focused on tissue formation and development. Two modules were identified from the PPI network, and 10 hub genes were screened out. The genes most relevant to alcohol-induced HFM pathogenesis included CTNNB1, TP53, MYC, HDAC1, and SOX2.

CONCLUSIONS

This study identified some significant hub genes, pathways, and modules of HFM related to alcohol by bioinformatics analyses. Our results suggest that the CTNNB1, TP53, MYC, HDAC1, and SOX B1 gene subfamilies may have played a major role in alcohol-induced HFM.