Periovulatory Expression of Hyaluronan and Proteoglycan Link Protein 1 (Hapln1) in the Rat Ovary: Hormonal Regulation and Potential Function
MOLECULAR ENDOCRINOLOGY
Authors: Liu, Jing; Park, Eun-Sil; Curry, Thomas E., Jr.; Jo, Misung
Abstract
Periovulatory follicular matrix plays an important role in cumulus-oocyte complex (COC) expansion, ovulation, and luteal formation. Hyaluronan and proteoglycan link protein 1 (HAPLN1), a component of follicular matrix, was shown to enhance COC expansion in vitro. However, the regulatory mechanisms of periovulatory expression of Hapln1 and its role in periovulatory granulosa cells have not been elucidated. We first determined the periovulatory expression pattern of Hapln1 using pregnant mare serum gonadotropin/human chorionic gonadotropin (PMSG/hCG)-primed immature rat ovaries. Hapln1 expression was transiently induced both in intact ovaries and granulosa cells at 8 h and 12 h after hCG injection. This in vivo expression of Hapln1 was recapitulated by culturing preovulatory granulosa cells with hCG. The stimulatory effect of hCG was blocked by inhibition of protein kinase A, phosphatidylinositol-dependent kinase, p38 MAPK, epidermal growth factor signaling, and prostaglandin synthesis, revealing key mediators involved in LH-induced Hapln1 expression. In addition, knockdown of Runx1 and Runx2 expression by small interfering RNA or inhibition of RUNX activities by dominant-negative RUNX decreased hCG or agonist-induced Hapln1 expression. Chromatin immunoprecipitation assays verified the in vivo binding of RUNX1 and RUNX2 to the Hapln1 promoter in periovulatory granulosa cells. Luciferase reporter assays revealed that mutation of the RUNX binding sites completely obliterated the agonist-induced activity of the Hapln1 promoter. These data conclusively identified RUNX proteins as the crucial transcription regulators for LH-induced Hapln1 expression. Functionally, treatment with HAPLN1 increased the viability of cultured granulosa cells and decreased the number of the cells undergoing apoptosis, whereas knockdown of Hapln1 expression decreased granulosa cells viability. This novel finding indicates that HAPLN1 may promote periovulatory granulosa cell survival, which would facilitate their differentiation into luteal cells. (Molecular Endocrinology 24: 1203-1217, 2010)
Comparative Analysis of Osteogenic/Chondrogenic Differentiation Potential in Primary Limb Bud-Derived and C3H10T1/2 Cell Line-Based Mouse Micromass Cultures
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
Authors: Takacs, Roland; Matta, Csaba; Somogyi, Csilla; Juhasz, Tamas; Zakany, Roza
Abstract
Murine micromass models have been extensively applied to study chondrogenesis and osteogenesis to elucidate pathways of endochondral bone formation. Here we provide a detailed comparative analysis of the differentiation potential of micromass cultures established from either BMP-2 overexpressing C3H10T1/2 cells or mouse embryonic limb bud-derived chondroprogenitor cells, using micromass cultures from untransfected C3H10T1/2 cells as controls. Although the BMP-2 overexpressing C3H10T1/2 cells failed to form chondrogenic nodules, cells of both models expressed mRNA transcripts for major cartilage-specific marker genes including Sox9, Acan, Col2a1, Snorc, and Hapln1 at similar temporal sequence, while notable lubricin expression was only detected in primary cultures. Furthermore, mRNA transcripts for markers of osteogenic differentiation including Runx2, Osterix, alkaline phosphatase, osteopontin and osteocalcin were detected in both models, along with matrix calcification. Although the adipogenic lineage-specific marker gene FABP4 was also expressed in micromass cultures, Oil Red O-positive cells along with PPAR2 transcripts were only detected in C3H10T1/2-derived micromass cultures. Apart from lineage-specific marker genes, pluripotency factors (Nanog and Sox2) were also expressed in these models, reflecting on the presence of various mesenchymal lineages as well as undifferentiated cells. This cellular heterogeneity has to be taken into consideration for the interpretation of data obtained by using these models.