title: Transcriptome comparisons identify new cell markers for theca interna and granulosa cells from small and large antral ovarian follicles.
abstract: In studies using isolated ovarian granulosa and thecal cells it is important to assess the degree of cross contamination. Marker genes commonly used for granulosa cells include FSHR, CYP19A1 and AMH while CYP17A1 and INSL3 are used for thecal cells. To increase the number of marker genes available we compared expression microarray data from isolated theca interna with that from granulosa cells of bovine small (n = 10 for both theca and granulosa cells; 3-5 mm) and large (n = 4 for both theca and granulosa cells, > 9 mm) antral follicles. Validation was conducted by qRT-PCR analyses. Known markers such as CYP19A1, FSHR and NR5A2 and another 11 genes (LOC404103, MGARP, GLDC, CHST8, CSN2, GPX3, SLC35G1, CA8, CLGN, FAM78A, SLC16A3) were common to the lists of the 50 most up regulated genes in granulosa cells from both follicle sizes. The expression in theca interna was more consistent than in granulosa cells between the two follicle sizes. Many genes up regulated in theca interna were common to both sizes of follicles (MGP, DCN, ASPN, ALDH1A1, COL1A2, FN1, COL3A1, OGN, APOD, COL5A2, IGF2, NID1, LHFP, ACTA2, DUSP12, ACTG2, SPARCL1, FILIP1L, EGFLAM, ADAMDEC1, HPGD, COL12A1, FBLN5, RAMP2, COL15A1, PLK2, COL6A3, LOXL1, RARRES1, FLI1, LAMA2). Many of these were stromal extracellular matrix genes. MGARP, GLDC, CHST8, GPX3 were identified as new potential markers for granulosa cells, while FBLN5, OGN, RAMP2 were significantly elevated in the theca interna.
authors.affiliation: Discipline of Obstetrics and Gynaecology, School of Paediatrics and Reproductive Health, Robinson Research Institute, University of Adelaide, Adelaide, South Australia, 5005, Australia.
authors.forename: Nicholas
authors.initials: N
authors.lastname: Hatzirodos
authors.affiliation: Discipline of Obstetrics and Gynaecology, School of Paediatrics and Reproductive Health, Robinson Research Institute, University of Adelaide, Adelaide, South Australia, 5005, Australia.
authors.forename: Katja
authors.initials: K
authors.lastname: Hummitzsch
authors.affiliation: School of Medical Science, Griffith University, Gold Coast, 4222, Queensland, Australia.
authors.forename: Helen F
authors.initials: HF
authors.lastname: Irving-Rodgers
authors.affiliation: Discipline of Obstetrics and Gynaecology, School of Paediatrics and Reproductive Health, Robinson Research Institute, University of Adelaide, Adelaide, South Australia, 5005, Australia.
authors.forename: Raymond J
authors.initials: RJ
authors.lastname: Rodgers
mesh_terms: D000818:Animals; D015415:Biomarkers / Q000378:metabolism*; D002417:Cattle; D005260:Female; D020869:Gene Expression Profiling / Q000379:methods*; D006107:Granulosa Cells / Q000378:metabolism*; D020411:Oligonucleotide Array Sequence Analysis; D060888:Real-Time Polymerase Chain Reaction; D013799:Theca Cells / Q000378:metabolism*; D015854:Up-Regulation
chemical_list: D015415:Biomarkers