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Influence of Gross Ovarian Stage on Transcript Profiles in Fathead Minnow (Pimephales promelas) Ovary Tissue

ABSTRACT: Interpretation of toxicogenomic experiments conducted with ovary tissue from asynchronous-spawning small fish species are complicated by background variation in the relative abundance and proportion of follicles at different stages within the ovary tissue sample. This study employed both real-time quantitative PCR and a 15,000 gene oligonucleotide microarray to examine variation in the fathead minnow (Pimephales promelas) ovarian transcriptional profile as a function of quantitative and qualitative differences in ovarian histology. Multiple lines of evidence supported the conclusion that variation in the transcriptional profile was primarily dependent on the relative abundance of previtellogenic versus vitellogenic follicles in the ovary tissue. Due to the relatively small proportions of mature ovulated follicles or atretic follicles in the overall follicle population, few putative molecular markers of maturation, ovulation, or atresia could be identified. However, among the 460 differentially expressed genes identified in the study, targets including HtrA serine peptidase 3 (htra3), tissue inhibitor of metalloproteinase 3 (timp3), aquaporin 8 (aqp8), transgelin 2 like (tagln2), Nedd4 family interacting protein 2 (ndfip2), chemokine ligand 12a (cxcl12a), midkine related growth factor (mdka), and jagged 1b (jag 1b) exhibited responses and functional properties that support them as candidate molecular markers of significant shift in gross ovarian stage. Overall, results of this study provide insights into background variation in ovary transcript profiles that should aid and enhance the interpretation of toxicogenomic data generated in experiments conducted with small, asynchronous spawning fish species.

ORGANISM(S): Pimephales promelas

PROVIDER: GSE18254 | GEO | 2010/05/01

SECONDARY ACCESSION(S): PRJNA119595

REPOSITORIES: GEO

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Project description:Interpretation of toxicogenomic experiments conducted with ovary tissue from asynchronous-spawning small fish species are complicated by background variation in the relative abundance and proportion of follicles at different stages within the ovary tissue sample. This study employed both real-time quantitative PCR and a 15,000 gene oligonucleotide microarray to examine variation in the fathead minnow (Pimephales promelas) ovarian transcriptional profile as a function of quantitative and qualitative differences in ovarian histology. Multiple lines of evidence supported the conclusion that variation in the transcriptional profile was primarily dependent on the relative abundance of previtellogenic versus vitellogenic follicles in the ovary tissue. Due to the relatively small proportions of mature ovulated follicles or atretic follicles in the overall follicle population, few putative molecular markers of maturation, ovulation, or atresia could be identified. However, among the 460 differentially expressed genes identified in the study, targets including HtrA serine peptidase 3 (htra3), tissue inhibitor of metalloproteinase 3 (timp3), aquaporin 8 (aqp8), transgelin 2 like (tagln2), Nedd4 family interacting protein 2 (ndfip2), chemokine ligand 12a (cxcl12a), midkine related growth factor (mdka), and jagged 1b (jag 1b) exhibited responses and functional properties that support them as candidate molecular markers of significant shift in gross ovarian stage. Overall, results of this study provide insights into background variation in ovary transcript profiles that should aid and enhance the interpretation of toxicogenomic data generated in experiments conducted with small, asynchronous spawning fish species. Relative abundance of approximately 15,000 RNA transcripts in 26 ovary samples and 4 expelled oocyte (egg) samples, representing the five different histoclasses defined for the present study, was evaluated using fathead minnow oligonucleotide microarrays. Fathead minnow 15,000 gene arrays were purchased from Agilent (Palo Alto, CA, USA). The Agilent one-color microarray hybridization protocol (One-Color Microarray-Based Gene Expression Analysis, version 5.7, Agilent Technologies, Palo Alto, CA) was used for microarray hybridizations following the manufacturerM-bM-^@M-^Ys protocol and recommendations. One ug of total RNA was used for all hybridizations. cDNA synthesis, cRNA labeling, amplification and hybridization were performed following the manufacturerM-bM-^@M-^Ys kits and protocols (Quick Amp Labeling kit; Agilent, Palo Alto, CA). An Axon GenePixM-BM-. 4000B Microarray Scanner (Molecular Devices Inc., city, state) was used to scan microarray images at 5 M-NM-<m resolution.

Project description:Ovarian primordial follicles are critical for female reproduction and comprise a finite pool of gametes arrested in development. A systems biology approach was used to identify regulatory gene networks essential for primordial follicle development. Transcriptional responses to eight different growth factors known to influence primordial follicles were used to construct a bionetwork of regulatory genes involved in primordial follicle development. Over 1500 genes were found to be regulated by the various growth factors and a network analysis identified critical gene modules involved in a number of signaling pathways and cellular processes. A set of 55 genes was identified as potential critical regulators of these gene modules, and a subnetwork associated with development was determined. Within the network two previously identified regulatory genes were confirmed (i.e. Pdgfa and Fgfr2) and a new factor was identified, connective tissue growth factor (CTGF). CTGF was tested in ovarian organ cultures and found to stimulate primordial follicle development. Therefore, the relevant gene network associated with primordial follicle development was validated and the critical genes and pathways involved in this process were identified. This is one of the first applications of network analysis to a normal developmental process. These observations provide insights into potential therapeutic targets for preventing ovarian disease and promoting female reproduction. For GSM509254-9: We used microarrays to determine genes expressed differentially between control and CTGF (connective tissue growth factor) treated P4 ovary. For GSM510028-65: We used microarrays to determine genes expressed differentially between control and growth factors treated P4 ovary and co-expressed in the same manner for P4 ovaries treated with 8 growth factors AMH, BMP4, GDNF, FGF2, FGF7, KITLG, LIF, PDGFab. For GSM509254-9: RNA samples from 3 control groups are compared to 3 CTGF treated ovary groups. For GSM510028-65: RNA samples from 14 control samples are compared to 3 growth factor treated ovary samples for each AMH, BMP4, GDNF, FGF2, FGF7, KITLG, LIF, PDGFab treatment.

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Influence of Gross Ovarian Stage on Transcript Profiles in Fathead Minnow (Pimephales promelas) Ovary Tissue

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