Changes in pituitary gene expression between embryonic day 17 and post-hatch day 3.
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ABSTRACT:
ORGANISM(S): Gallus gallus
PROVIDER: GSE3226 | GEO | 2005/09/02
SECONDARY ACCESSION(S): PRJNA92751
REPOSITORIES: GEO
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Project description:The anterior pituitary is comprised of five major hormone-secreting cell types which differentiate during embryonic development in a temporally distinct manner. Microarrays containing 5,128 unique cDNAs expressed in the neuroendocrine system were produced and used to identify genes with potential involvement in onset of thyroid-stimulating hormone beta-subunit, growth hormone, and prolactin gene transcription during chick embryonic development. We identified 352 cDNAs that were differentially expressed (P < 0.05 and the highest mean at least 1.6-fold greater than the lowest mean) on embryonic day 10, 12, 14, or 17, the period of thyrotroph, somatotroph, and lactotroph differentiation in the chicken. Consistent with cellular ontogeny in the chick anterior pituitary gland, thyroid-stimulating hormone beta-subunit mRNA increased steadily between embryonic day 10 and embryonic day 17, growth hormone mRNA increased between embryonic day 12 and embryonic day 17, and PRL mRNA did not increase until embryonic day 17. Expression of 149 cDNAs increased in a manner similar to thyroid-stimulating hormone beta-subunit mRNA and 67 decreased between embryonic day 10 and embryonic day 17, and some of these are likely associated with thyrotroph differentiation. Similarly, expression of 74 and 66 genes changed in a manner over the 4 ages that is consistent with them having a potential role in induction of growth hormone and prolactin mRNA, respectively. Among these candidate genes are numerous transcription factors and signaling molecules that have not previously been implicated in pituitary development. Keywords: time course during development (4 ages)
2005-09-02 | GSE3227 | GEO
Project description:The pituitary gland exhibits sex differences in its function. Diseases associated with dysregulation of the pituitary are also sex-biased in prevalence. Previous qPCR profiling of puberty-related genes in the pituitary gland revealed increasingly sex-biased expression of genes profiled across pubertal transition. Here, we performed 3’-UTR-seq on pituitary gland from both sexes of C57BL/6J mice at 5 ages spanning pubertal transition (postnatal days 12, 22, 27, 32, 37) (6 replicates per sex at each age) to examine genome-wide sex-biased trends in gene expression and potential regulatory mechanisms of these sex differences. QuantSeq 3’mRNA-seq libraries were constructed from total RNA using an automated method with Agilent NGS Workstation. Resulting single-end libraries were sequenced at SickKids TCAG core on the Illumina v4 flow cell with SR50 bp cycles extended to 68 bp. A customized pipeline was developed and used for analysis of reads obtained (see paper for details). Processed reads were mapped to mouse genome (mm10).
2022-10-12 | E-MTAB-9459 | biostudies-arrayexpress
Project description:The pituitary gland exhibits sex differences in its function. Diseases associated with dysregulation of the pituitary are also sex-biased in prevalence. Previous qPCR profiling of puberty-related genes in the pituitary gland revealed increasingly sex-biased expression of genes profiled across pubertal transition. Here, we performed small RNA-seq on total RNA extracted from C57BL/6J mouse pituitary gland of both sexes mice at 4 ages spanning pubertal transition (postnatal days 12, 22, 27, 32) (6 replicates per sex at each age) to examine microRNA (miRNA) regulation of sex differences in gene expression observed. Total RNA was sent to SickKids TCAG core to construct small RNA-seq libraries using NEBNext Small RNA Library Prep Kit according to manufacterer’s protocol. Resulting single-end libraries were sequenced at TCAG core on the Illumina HiSeq 2500 v4 flow cell with SR50 bp. Data obtained was processed using miRDeep2 pipeline to align small RNA-seq reads to the mouse genome (mm10) and to filter for miRNAs.
2022-10-12 | E-MTAB-9460 | biostudies-arrayexpress
Project description:The pituitary gland is a neuroendocrine organ that is involved in several processes within the body such as metabolism, growth, immune function, and reproduction. Increased ambient temperatures are environmental stressor that leads to several welfare concerns in poultry production but also economic losses. Because of the involvement of the pituitary gland in several processes that are affected by heat stress, it is hypothesized this tissue's gene expression will be impacted by heat stress. The objectives of the project are to (a) identify genes that constitue the pituitary gland when compared to other collected chicken tissues (Insert tissues) and (b) identify genes that respond to heat stress via differential expression analysis to better understand the chicken's response to heat at the transcriptomic level.
2017-02-10 | GSE89297 | GEO
Project description:Chickens divergently selected for either high abdominal fat content (fat genotype) or low abdominal fat content (lean genotype) at SRA-INRA, France were used to profile pituitary gland gene expression during juvenile development (1 to 7 weeks of age) and to identify differentially expressed genes associated with genotype and age. The fat line (FL) and lean line (LL) chickens are different in various phenotypic and metabolic measurements, including abdominal fatness, plasma glycemia, and T3. The FL and LL chickens represent unique models for characterizing biomedical and agricultural traits. The Del-Mar 14K Chicken Integrated Systems microarrays were used for a transcriptional scan in the pituitary gland during juvenile development using a reference design for the hybridization of total RNA from the pituitary gland. A reference RNA pool was made from an equal amount of high-quality total RNA extracted from all of the samples. Each of the microarrays was co-hybridized with Cy3-labeled cDNA targets from one of the pituitary samples and Cy5-labled cDNA targets from the reference pituitary RNA pool. Log2-transformed fluorescence intensities were analyzed with a mixed model. Two-way ANOVA (SAS) of log2 ratios was used to detect significant (p<0.05) differences by line, age, and the line-by-age interaction. There were 1150 significantly different genes between the two lines, and 339 of these genes exhibited greater than 0.68-fold differences in their log2 ratios (highest group mean at least 160% of the lowest group mean). One thousand four hundred twenty nine genes were significantly different by age and of these, 583 exhibited fold changes greater than 0.68 in the log2 ratio. There were 145 genes that significantly differed in their line-by-age interaction, and 62 of these exhibited greater than 0.68-fold differences. There were 386 genes with significant differences by line or for line-by-age interaction with at least a 0.68-fold change in log2 ratio and n ≥ 2 for each experimental group. Four biological replicates were analyzed, each consisting of a complete set of individual samples from pituitary glands of Fat and Lean line chickens at week 1, week 3, week 5, or week 7 of age. Amplified antisense RNA from each sample was analyzed using Del-Mar 14 K array in a reference design. Each experimental sample (Fat and Lean Weeks 1, 3, 5, and 7) was labeled with Cy3 and hybridized with an aliquot of the Cy5 reference pool, which was generated from all 32 RNA samples.
2011-01-13 | E-GEOD-26584 | biostudies-arrayexpress
Project description:In the present study, five important somatotropic and reproductive tissues including brain, pituitary gland, liver, gonad and muscle from 6 large females and 6 small males were used for transcriptomic analysis. A mean of 23,389,128 high quality clean reads were obtained from each library and 109, 698, 1,325, 2,299 and 2,141 differentially expressed genes (DEGs) separately recognized from brain, pituitary gland, liver, gonad and muscle between small and large female individuals (fold change ≥ 2 and q < 0.05). These DEGs’ enrichment analysis suggests that the up-regulation of neuroactive ligand-receptor interaction, cell cycle, DNA replication and MAPK signaling pathway in large female group may be involved in the regulation of growth differences.
2021-12-31 | GSE156670 | GEO
Project description:Several processes governing growth and metabolism are regulated by the neuroendocrine system, particularly the trophic hormones produced in the anterior pituitary gland. However, many of the differences that exist in pituitary gene expression and functional gene networks associated with divergent growth characteristics are still largely unknown. Using the Del-Mar 14K Chicken Integrated Systems microarray, this experiment evaluated global gene expression in the anterior pituitary gland during the first 7 weeks of post-hatch growth in two lines of chickens genetically selected for high growth (HG) or low growth (LG) at SRA-INRA, France. The HG and LG chickens differ in body weight, abdominal fat content, and plasma hormone and metabolite levels, making them a valuable model for both biomedical and agricultural traits. Amplified total RNA extracted from individual anterior pituitary glands collected from 4 birds from each line at each age (n=4) was produced. Cy-3 labeled cDNA from these samples was hybridized with an aliquot of Cy-5 labeled cDNA made from a pool of total RNA from all 32 samples. Data were analyzed as log2-(Cy3intensity (norm)/Cy5intensity (raw)) by two-way ANOVA using a linear mixed model procedure (PROC MIXED; SAS institute Inc., Cary, NC), and a total of 2,310 spots were significantly different (P<0.05) by line (1,100), age (1,058), or the line-by-age interaction (353). Of these, we identified 291 spots representing 263 genes as differentially expressed between HG and LG birds, where there was a >160% difference between the highest expression in one line and the lowest expression in the other and a significant line-by-age (110) or line (181) effect. Four anterior pituitary hormones were contained in this set of differentially expressed genes: thyroid-stimulating hormone ?-subunit, luteinizing hormone ?-subunit, and follicle-stimulating hormone ?-subunit mRNA levels were higher in the HG line; and growth hormone mRNA was elevated in the LG line. Pathway analysis revealed differences in expression between HG and LG lines associated with molecular transport, endocrine system development and function, organ and tissue morphology, and cellular compromise. Potential alteration in pituitary function between the two lines was highlighted in a network containing genes associated with hormone expression and secretion, as well as those potentially involved in pituitary gland morphology and vascularization.
2018-11-15 | GSE122519 | GEO
Project description:The purpose of this research is to determine whether the drug, Bevacizumab (a monoclonal anti VEGF-A antibody), which is approved to treat patients with metastatic colon cancer induces hyperprolactinemia (increased prolactin secretion) in humans with intact pituitary function. Past studies have shown Bevacizumab to shrink tumor size and also increase prolactin levels. The mechanism of the hyperprolactinemia might be inhibition of pituitary portal vein transport, suggesting that Bevacizumab induces prolactin secretion from normal lactotrophs in the pituitary gland.
Patients who have been treated with Bevacizumab for at least one month will be recruited to participate.
The subjects who are being treated with Bevacizumab by Dr. Stephen Wolin (a sub-investigator) will be screened by him for study eligibility. Dr. Wolin will approach eligible patients with all the information and background of the study and see if they have an interest in being consented.
If consented, there will be 2 blood draws for the research that is not part of their standard care in which 10 ml of blood is collected and prolactin, growth hormone, IGF-I, TSH, thyroxine, ACTH, and cortisol will be measured. One 5ml blood draw will occur before the administration of Bevacizumab and the second 5 ml blood draw will occur after the administration of the Bevacizumab. The investigators will then review the laboratory results. The blood tests are of the hormones of the pituitary gland to test pituitary function and see if there are any abnormalities with the secretions of the gland. Pituitary function abnormalities and hyperprolactinemia are diagnosed by looking at hormone levels in the blood and comparing them to the normal reference ranges.
This study will only involve 10 subjects and will be conducted entirely at Cedars-Sinai Medical Center.
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Project description:The regulation of pituitary function via the hypothalamus and via intra-pituitary connections represents a complex system. Though hormones secreted from the pituitary glands have been well studied, overall information of proteins expressed in the pituitary glands is very limited. Protein expression profiling of normal pituitary tissue may lead to discovery of novel proteins playing an important role in the physiology of pituitary glands and can lead to better understanding of pituitary gland diseases. We aimed to carry out systematic proteomic profiling of adenohypophysis from human pituitary glands using high-resolution Fourier transform mass spectrometer. A total of 2,175 proteins were identified in this study of which, 105 proteins were identified for the first time as compared to high throughput proteomic-based studies from human pituitary glands. The comprehensive list of proteins identified in this study will facilitate the better understanding the role of this important gland in health and disease.
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Project description:Pituitary neuroendocrine tumours (PitNET) are rare neoplasms of the pituitary gland that can overproduce pituitary hormones or cause headaches and visual impairment due to mass effect. Growth hormone overproducing somatotroph PitNETs cause acromegaly leading to wide range of connective tissue, metabolic and oncologic disorders. The medical treamment of acromegaly is somatostin analogues (SSA) in specific cases combined with dopamine agnoists (DA), but almost half of patients excert SSA resistence and potential causes of this is unknown. The aim of this study was to characterize transcriptomic patterns of somatotroph PitNETs specifically assessing impact of SSA treatment effects. We investigated gene expession on several levels and functional models of GH PitNETs - tumour tissue of patients with and without SSA preoperative treamtment, tumour derived pituisphere model and classically used GH3 cell line treated with SSA.
2022-04-08 | GSE200175 | GEO