With　its　ability　to　produce　ligninolytic　enzymes　such　as　laccases,　white-rot　basidiomycete　Cerrena　unicolor,　a　medicinal　mushroom,　has　great　potential　in　biotechnology.　Elucidation　of　the　expression　profiles　of　genes　encoding　ligninolytic　enzymes　are　important　for　increasing　their　production.　Quantitative　real-time　polymerase　chain　reaction　(qPCR)　is　a　powerful　tool　to　study　transcriptional　regulation　of　genes　of　interest.　To　ensure　accuracy　and　reliability　of　qPCR　analysis　of　C.　unicolor,　expression　levels　of　seven　candidate　reference　genes　were　studied　at　different　growth　phases,　under　various　induction　conditions,　and　with　a　range　of　carbon/nitrogen　ratios　and　carbon　and　nitrogen　sources.　The　stability　of　the　genes　were　analyzed　with　five　statistical　approaches,　namely　geNorm,　NormFinder,　BestKeeper,　the　DCt　method,　and　RefFinder.　Our　results　indicated　that　the　selection　of　reference　genes　varied　with　sample　sets.　A　combination　of　four　reference　genes　(Cyt-c,　ATP6,　TEF1,　and　beta-tubulin)　were　recommended　for　normalizing　gene　expression　at　different　growth　phases.　GAPDH　and　Cyt-c　were　the　appropriate　reference　genes　under　different　induction　conditions.　ATP6　and　TEF1　were　most　stable　in　fermentation　media　with　various　carbon/nitrogen　ratios.　In　the　fermentation　media　with　various　carbon　or　nitrogen　sources,　18S　rRNA　and　GAPDH　were　the　references　of　choice.　The　present　study　represents　the　first　validation　analysis　of　reference　genes　in　C.　unicolor　and　serves　as　a　foundation　for　its　qPCR　analysis.