Dental　pulp　stem　cells　(DPSCs)　have　the　property　of　self-renewal　and　multidirectional　differentiation　so　that　they　have　the　potential　for　future　regenerative　therapy　of　various　diseases.　The　latest　breakthrough　in　the　biology　of　stem　cells　and　the　development　of　regenerative　biology　provides　an　effective　strategy　for　regenerative　therapy.　However,　in　the　medium　promoting　differentiation　during　long-term　passage,　DPSCs　would　lose　their　differentiation　capability.　Some　efforts　have　been　made　to　find　genes　influencing　human　DPSC　(hDPSC)　differentiation　based　on　hDPSCs　isolated　from　adults.　However,　hDPSC　differentiation　is　a　very　complex　process,　which　involves　multiple　genes　and　multielement　interactions.　The　purpose　of　this　study　is　to　detect　sets　of　correlated　genes　(i.e.,　gene　modules)　that　are　associated　to　hDPSC　differentiation　at　the　crown-completed　stage　of　the　third　molars,　by　using　weighted　gene　coexpression　network　analysis　(WGCNA).　Based　on　the　gene　expression　dataset　GSE10444　from　Gene　Expression　Omnibus　(GEO),　we　identified　two　significant　gene　modules:　yellow　module　(742　genes)　and　salmon　module　(9　genes).　The　WEB-based　Gene　SeT　AnaLysis　Toolkit　showed　that　the　742　genes　in　the　yellow　module　were　enriched　in　59　KEGG　pathways　(including　Wnt　signaling　pathway),　while　the　9　genes　in　the　salmon　module　were　enriched　in　one　KEGG　pathway　(neurotrophin　signaling　pathway).　There　were　660　(7)　genes　upregulated　at　P10　and　82　(2)　genes　downregulated　at　P10　in　the　yellow　(salmon)　module.　Our　results　provide　new　insights　into　the　differentiation　capability　of　hDPSCs.