- Research article
- Open Access
Transcriptional and pathway analysis in the hypothalamus of newly hatched chicks during fasting and delayed feeding
© Higgins et al; licensee BioMed Central Ltd. 2010
Received: 30 November 2009
Accepted: 9 March 2010
Published: 9 March 2010
The hypothalamus plays a central role in regulating appetite and metabolism. However, the gene networks within the hypothalamus that regulate feed intake and metabolism, and the effects of fasting on those pathways are not completely understood in any species. The present experiment evaluated global hypothalamic gene expression in newly hatched chicks using microarray analysis to elucidate genes and pathways regulated by feeding, fasting, and delayed feeding. Ten groups of chicks were sampled over four days post-hatch, including fed, fasted, and 48 h fasted followed by access to feed for 4 h, 24 h, and 48 h. Hypothalamic samples were collected for microarray analysis (n = 4). Expression patterns of selected genes were confirmed by quantitative real-time PCR. Pathway analysis of the microarray results predicted a network of genes involved in neuropeptide or neurotransmitter signaling. To confirm the functionality of this predicted gene network, hypothalamic neurons from fed and fasted chicks were isolated and cultured in the presence of neuropeptide Y, somatostatin, α-melanocyte stimulating hormone, norepinephrine, and L-phospho-serine. Results confirmed functional relationships among members of the predicted gene network. Moreover, the effects observed were dependant upon the nutritional state of the animals (fed vs. fasted).
Differences in gene expression (≥ 1.6 fold) were detected in 1,272 genes between treatments, and of those, 119 genes were significantly (P < 0.05) different. Pathway Miner analysis revealed that six genes (SSTR5, NPY5R, POMC, ADRB2, GRM8, and RLN3) were associated within a gene network. In vitro experiments with primary hypothalamic neurons confirmed that receptor agonists involved in this network regulated expression of other genes in the predicted network, and this regulation within the network was influenced by the nutritional status and age of the chick.
Microarray analysis of the hypothalamus during different nutritional states revealed that many genes are differentially regulated. We found that functional interactions exist among six differentially regulated genes associated within a putative gene network from this experiment. Considering that POMC, an important gene in controlling metabolism, was central to this network, this gene network may play an important role in regulation of feeding and metabolism in birds.
The hypothalamus regulates feed intake and satiety in vertebrates. However, species differ greatly in their feeding habits. Intensive genetic selection for growth rate of broiler (meat-type) chickens has resulted in a remarkable increase in feed intake. Since the hypothalamus regulates feed intake and satiety in vertebrates, the function of the chicken hypothalamus has been extensively studied in response to numerous hormones and neuropeptides . Importantly, hypothalamic function of chickens is well correlated with other species in many respects [2–4]. A few exceptions include the lack of response in the chicken to specific orexigenic peptides, such as orexin-A and B, galanin, motilin, and melanin concentrating hormone . Despite the information available, the specific mechanisms by which the hypothalamus coordinates all inputs to control feeding and metabolism in chickens, or any other avian species, is not understood, as it is difficult to evaluate all possible changes within the animal simultaneously. Similarly, a comprehensive analysis of hypothalamic gene expression related to appetite and satiety has not been reported for any species.
Microarrays have been recently used to evaluate genes within the liver of 4-week-old chickens that were fed or fasted . In that study, many gene expression differences directly regulating metabolism and nutrient utilization were revealed, and it was determined that fasting, in general, caused more down-regulation of genes than up-regulation. Specifically, they observed that 2,062 genes were differentially regulated by fasting. In the present study, we utilized microarrays to examine global gene expression in the hypothalamus during feeding, fasting, or delayed feeding of newly hatched chicks. Since the hypothalamus integrates hunger and satiety input from the digestive tract, liver, and fat stores, we examined the transcriptional response of the hypothalamus to nutrient deprivation. Evaluation of global gene expression in the hypothalamus during fasting or after delayed feeding allowed us to evaluate genes known to be associated with feed intake and metabolism, as well the opportunity to discover genes not previously associated with the regulation of feed intake and metabolism. Hypothalamic neurons isolated from fed and fasted chicks were then treated in culture to evaluate the functionality of one gene network predicted from the microarray results.
Experiment 1 Microarray and qRT-PCR Analysis
Description of full fed (FF), fasted (NF), and delayed fed (DF) treatments administered to chicks.
Time of Sample Collection
Within 4 h of hatch
24 h Fully Fed
24 h Not Fed
48 h Fully Fed
48 h Not Fed
48 h Not Fed
4 h Delayed Fed
72 h Fully Fed
48 h Not Fed
24 h Delayed Fed
96 h Fully Fed
48 h Not Fed
48 h Delayed Fed
Body weight and yolk sac weight in full fed (FF), fasted (NF) and delayed fed (DF) chicks.
Yolk Sac Weight
40.15 ± 1.5f
4.66 ± 0.2a
42.12 ± 1.5ef
2.64 ± 0.2b
39.11 ± 1.5f
3.14 ± 0.2b
58.27 ± 1.5d
1.60 ± 0.2cd
37.90 ± 1.5f
1.77 ± 0.2cd
43.44 ± 1.5ef
1.47 ± 0.2cd
74.13 ± 1.5b
0.98 ± 0.2de
53.17 ± 1.5ef
0.81 ± 0.2e
95.77 ± 1.5a
0.56 ± 0.2e
66.09 ± 1.5c
0.55 ± 0.2e
Microarray analysis was performed using the Operon/ARK 20.7 K long oligo arrays, which are printed with 21,120 chicken oligo probes. Data were deposited in the NCBI Gene Expression Omnibus, accession number GSE13257 http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE13257. Our analysis returned data for 5,855 probes on at least 3 out of 4 slides within a group. Of these, 1,272 differed in expression levels by at least 1.6 fold among treatment groups. Among the 1,272 genes that differed in expression levels, 119 were significantly different (P < 0.05) as determined by ANOVA. Of these, 60 were shown to be upregulated in fasted chicks at 48 h as compared to fed chicks (Additional File 1, Table S1), and 59 genes were downregulated in fasted compared to fed chicks at 48 h (Additional File 2, Table S2). Additionally, the 119 genes found to be differentially regulated were functionally characterized using GO terms, and these terms are included in Additional File 3, Table S3. Evaluation of the biological process GO terms for these genes revealed that many different biological processes in the hypothalamus are affected by fasting of chicks, as there were no terms encompassing the majority of genes.
Experiment 1 Pathway Analysis
Gene networks were then analyzed with Ingenuity Pathway Analysis software. Analysis of genes significantly regulated between fed and fasted chicks on d1 and d2 with a fold difference of ≥ 1.4 revealed two primary pathways (Additional Files 4 and 5, Figure S1 and S2). Further analysis using a dataset of 119 genes differentially regulated between any two groups with a fold difference ≥ 1.6 revealed a putative pathway that included the genes POMC, ADRB2, and SSTR5, which were also constituents of the Pathway Miner output (Additional File 6, Figure S3).
Experiment 3 Culture and treatment of primary hypothalamic neurons
To determine whether the gene network predicted by both Pathway Miner and Ingenuity Pathway Analysis was indeed functional, we isolated primary hypothalamic neurons from chicks following fasting or feeding for 24 or 48 h, and treated them with hormones or receptor agonists in vitro. Our goal was to determine if the genes within the network could be regulated by treatments corresponding to receptors within this gene network. This experiment also evaluated the effects of nutritional status of the chicks (fed or fasted) and timing (24 or 48 h) on the effects of treatments in vitro. Following treatments in culture, gene expression was determined by qRT-PCR.
The hypothalamus controls feeding and satiety in vertebrates, and directs growth and metabolism . We performed microarray analysis to evaluate global gene expression in the hypothalamus in order to identify genes and gene networks differentially expressed in response to fasting and feeding of newly hatched chicks. Our analysis compared gene expression in the hypothalamus of chicks that were fed or fasted for 24 or 48 h, as well as chicks that were fed following a 48 h fast. Fasting of chicks can retard growth compared to chicks fed immediately for up to 6 weeks of age , yet the mechanisms behind the long-term effects of fasting on growth and metabolism are not known. Therefore, we included delayed feeding treatments (fasted for 48 h, then fed for 4 h, 24 h, or 48 h) to provide insight into potential gene expression differences that may persist after animals are allowed access to feed.
Among genes that were increased by fasting, were the neuropeptide receptors NPY5R and SSTR5. As NPY is known to be increased in fasted animals , and intra-cerebroventricular (icv) administration of this neuropeptide causes increased feed intake , the upregulation of its receptor due to fasting is not surprising. SSTR5 is a somatostatin receptor that is primarily found in the pituitary gland. However, SSTR5 mRNA in the central nervous system of rats was detected primarily in the hypothalamus and preoptic area . Receptor subtype-specific immuno-histochemistry of the rat hypothalamus revealed few SSTR5-positive cells, and those that were observed were primarily found in the median eminence . The role that SSTR5 plays in the hypothalamus is not clear.
DIO2 expression was significantly increased in fasted chicks at both 24 and 48 h, returning immediately to the levels of fed chicks in the 4DF group. This was a particularly interesting finding, because DIO2 converts thyroid hormones from inactive T4 to active T3, and we anticipated an opposite effect of fasting. However, elevated levels of DIO2 activity would be expected to cause increased T3 within the hypothalamus, resulting in reduced TRH release through negative feedback . In response, the pituitary gland would be expected to decrease release of TSH. Subsequently, levels of circulating T3 would then be reduced, and the metabolic rate of the chick would be reduced, ultimately in response to the elevated hypothalamic DIO2. Thus, it could be predicted that increased hypothalamic DIO2 activity would ultimately decrease metabolism through feedback mechanisms. The increased DIO2 mRNA levels observed in response to fasting are consistent with this model. Other genes significantly increased by fasting for 48 h include CYP19A1 (aromatase), FKBP51, and COCH. Their respective functions include conversion of androgens to estrogen, facilitating translocation of proteins such as nuclear hormone receptors to the nucleus, and providing structure to the ear. The significance of increased expression of these genes within the hypothalamus in fasted chicks is unknown.
Among genes with reduced expression due to fasting were the genes FABP7, which is a brain-specific fatty acid binding protein, POMC (which encodes for a precursor polypeptide to multiple hormones including αMSH), and PRKCI. Importantly, hypothalamic αMSH is known to increase metabolic rate. Therefore, it was not surprising to see POMC mRNA decreased by fasting, presumably as part of the overall mechanism down-regulating metabolism to compensate for decreased feed intake. All genes reduced by fasting returned to similar expression levels as full-fed chicks within 24 h of delayed feeding.
CYP39A1 and SALL3 genes were also down-regulated by fasting at 24 and 48 h. CYP39A1 functions primarily to convert cholesterol to bile acids, and SALL3 is a transcription factor. Information on the function of these genes specifically in chickens was not available. Further, the qRT-PCR expression results for both genes were not completely correlated with the microarray results. We also observed a significant reduction in expression of HBA in the hypothalamus of fasted chicks, which did not return to the levels of fed chicks even after 48 h of delayed feeding. The specific function and potential importance of the reduction of HBA in the hypothalamus of chicks due to fasting is not known.
Seven genes that are known to be associated with feed intake, metabolism or growth, for which microarray data were unavailable or the microarray analysis did not indicate significant differences, were also evaluated by qRT-PCR. These included genes for two orexigenic neuropeptides, NPY and AGRP. These two genes are co-expressed in neurons within the ARC that participate in the melanocortin pathway , and both were increased in the 48NF group. Increased NPY mRNA would be consistent with increased appetite in fasted birds, and increased AGRP, an antagonist to α MSH for MC4R, would be consistent with reduced metabolic rate in fasted chicks. We likewise observed a significant increase in expression of both MC4R and TRH mRNA in chicks fasted for 48 h, and a significant increase in LEPR expression was observed in 24NF chicks compared with 24FF chicks. Increased levels of hypothalamic MC4R and LEPR expression might be due to depressed levels of α MSH and leptin release in fasted animals. Interestingly, TRH mRNA levels were increased at 48 hr but not at 24 hr, which is consistent with reduced negative feedback from reduced circulating T3 levels associated with a reduction of metabolic rate in fasted birds.
Both NPY and AGRP can increase feeding in animals and inhibit the thyroid axis when administered icv, however they signal through different receptors [9, 13, 14]. NPY signals through NPY receptors, of which receptors Y1 and Y5 are associated with the induction of hyperphagia . However, AGRP is an inverse agonist of MC4R, and therefore directly plays a part in the melanocortin pathway . In fasted broiler (meat-type) chickens, AGRP returned feed intake to control levels when co-administered with αMSH, which inhibited feed intake alone. Interestingly, administration of AGRP alone to non-fasted broiler chickens or leghorn (egg laying-type) chickens only increased feed intake in the leghorn chickens .
Leptin is a hormone produced primarily by adipocytes in mammals, and high levels of leptin are generally indicative of satiety in mammals . In this experiment, we observed an increase in leptin receptor (LEPR) mRNA levels in the hypothalamus following 24 h of fasting. Although we did not determine the levels of circulating leptin in this experiment, administration of synthetic leptin has been reported to reduce feeding in chickens , and these data could indicate that depressed leptin during fasting regulates expression of LEPR. Importantly, leptin is also a key regulator of the melanocortin system in the hypothalamus in mammals. Leptin has been shown to directly inhibit NPY and AGRP neurons and to stimulate POMC and CART neurons in the ARC of the hypothalamus in mice . Although substantial controversy exists regarding the sequence of chicken leptin cDNA and peptide [21, 22], the leptin receptor in chickens has been sequenced unequivocally [23, 24], and chickens respond to recombinant chicken leptin as well as leptin derived from other species.
Further analysis using Pathway Miner software indicated that our candidate gene list was enriched in genes participating in a network of associated genes due to their ability to regulate cAMP production in cells. Genes from our list included in that network were: NPY5R, GRM8, SSTR5, POMC, RLN3, and ADRB2 (Figure 4). These genes represent hormones (RLN3 and POMC) and G-protein coupled receptors. The four receptors include two neuropeptide receptors (SSTR5 and NPY5R) and two amino-acid derived neurotransmitter (ADRB2 and GRM8) receptors. Among these genes, only POMC was downregulated by fasting in chicks, the other five genes were increased by fasting. As POMC encodes for the precursor of α MSH, an important regulator of metabolic rate, this finding raised the intriguing possibility that control of metabolism by the hypothalamus involves interactions between NPY, adrenergic, glutaminergic, and melanotropic neurons. Interestingly, POMC, ADRB2, and SSTR5 were also in a network predicted using Ingenuity Pathway Analysis. However, this network for gene interactions within the hypothalamus was only hypothetical, so further experiments were designed to test their putative interactions.
In order to test the functionality of this gene network, we performed another experiment in vitro with isolated primary hypothalamic neurons. We treated primary hypothalamic neurons with hormones or receptor agonists in vitro corresponding to the genes within the putative network. Our cell culture results confirmed that the gene network predicted from the microarray analysis is functional within the hypothalamus. Genes within the network can directly affect expression of other genes in the network. For example, POMC expression was decreased by treatment with NE, an agonist for ADRB2. Importantly, the activity and connectivity of this network was altered by the fed or fasted state of the chicks. This finding demonstrates that the metabolic perturbation of fasting was a useful tool in identifying genes that can control important regulators of metabolism, such as NPY, POMC, MC4R, NPYR5, ADRB2, and GRM8 (Figures 6 and 7). Beyond this, the specific mechanism by which they regulate gene expression during feeding and fasting of chicks was not determined. It should be noted that we were unable to obtain chicken relaxin 3 for evaluation in this experiment, though it was included as part of the network by Pathway Miner. Interestingly, the literature suggests that RLN3 is involved with regulation of feeding and satiety, as it does increase feeding in rats following icv or iPVN injection [25, 26].
SSTR5 expression was changed little by treatments of cultured neurons, with reduced expression occurring only in the presence of LSOP in neurons from 24 h fasted chicks. In contrast, both ADRB2 and GRM8 expression were decreased by addition of SRIF to the culture medium. As SSTR5 was differentially regulated between fasted and fed groups in vivo, the relative lack of regulation of this receptor may indicate it is not regulated by other gene products in this network of genes. Alternatively, it may be regulated by other neurotransmitters, hormones, or metabolites affected by feeding or fasting. It should be noted, however, that SRIF treatment altered mRNA levels for ADRB2, GRM8, and MC4R, demonstrating a potential role for hypothalamic SRIF and SSTR5 in regulating metabolism.
NPY, the ligand for NPYR5, is a neuropeptide associated with increased hunger, and icv injection of NPY markedly increases feeding behavior in chickens  and other species . NPY is produced in the arcuate nucleus of the hypothalamus, and co-expressed in neurons producing AGRP, another orexigenic peptide. Notably, although NPYR5 was identified as part of this putative pathway, no agonists in the cell culture were capable of modifying NPYR5 expression. However, NPY treatment suppressed levels of MC4R and GRM8 mRNA, consistent with a role for NPY in decreasing metabolic rate. Treatment with αMSH increased NPY expression in neurons from the hypothalamus of chicks fed for 48 h, suggesting the possibility of a negative feedback loop within the hypothalamus controlling metabolism. Interestingly, icv administration of NPY and αMSH reduced feed intake in chicks at the same level as administration of αMSH alone , suggesting that melanocortin has a greater effect on feed intake than NPY in chickens.
POMC is a principle component of the melanocortin system, which is centered in the arcuate nucleus of the hypothalamus (known as the infundibular nucleus in chickens) [28, 29]. POMC is a precursor polypeptide which is cleaved into ten individual hormones, including αMSH. The melanocortin system largely regulates feed intake in animals through melanocortin receptors 3 and 4, and MC4R has been shown in rats to increase in levels during fasting . Mutations in αMSH or MC4R result in obesity in mice . In chickens, administration of αMSH markedly decreases feed intake [31, 32]. In contrast to mammals, which only express MC4R in the brain, chicken MC4R is expressed in the adrenals, gonads, spleen, adipose, and brain . Though hypothalamic MC4R mRNA levels were not significantly changed by fasting or feeding in the present experiment, they were reduced significantly in neurons from chicks fed for 48 h and treated with αMSH, NPY, NE, or LSOP. Due to the fact that elevated αMSH levels are associated with satiety (fed chicks) and elevated NPY levels are associated with fasting (fasted chicks), the similar effects of both hormones on MC4R expression deserves further consideration. Nonetheless, our findings support an integral role for MC4R in controlling metabolism and suggest that regulation of its expression is complex.
We hypothesize that the two receptors within the gene network that function as monoamine neurotransmitter receptors, ADRB2 and GRM8, may function to integrate signals emanating from the melanocortin pathway in the hypothalamus. SRIF, αMSH, and NPY reduced expression of both ADRB2 and GRM8 in this study. This occurred in fasted groups only for ADRB2 and for fed and fasted groups for GRM8. Importantly, agonists for both receptors have been associated with feed intake in other studies. In chickens, administration of NE into the ventromedial nucleus, paraventricular nucleus, or medial septal areas of the hypothalamus increased feed intake . We observed decreased POMC expression at 24 h and MC4R expression at 48 h in fed chicks in response to administration of NE in vitro. Decreases in POMC and MC4R are associated with increased appetite . Interestingly, injection of glutamate into the lateral hypothalamus of rats results in increased feed intake . We also observed effects of the GRM8 receptor agonist LSOP on ADRB2 expression in neurons from fasted chicks, but ADRB2 expression was decreased at 24 h and increased at 48 h. Our results support a role for hypothalamic adrenergic and glutaminergic neurons and ADRB2 and GRM8 in regulating feed intake and metabolism.
The effect of treatments in vitro was dependent on the nutritional state (fed or fasted) of the donor animals. POMC was decreased by NE only in neurons from fed chicks. Perhaps this was due to the fact that POMC expression is higher in neurons from fed than fasted chicks. Likewise, NPY decreased GRM8 expression only in neurons from fed chicks, which may be attributed to the fact that NPY is naturally increased in fasted chicks. Further, MC4R was only regulated in neurons from fed chicks, and its expression was consistently decreased by all treatments at 48 h. Additionally, the increase in NPY expression in response to αMSH was only observed in neurons from fasted chicks, when α MSH expression would be low and NPY expression would be high. It should be noted that an observed lack of effect of an agonist does not preclude the possibility that the system is already maximally stimulated. In general, differences in gene expression in response to treatment were more dramatic following 48 h of feeding and fasting than at 24 h. This is expected, due to the fact that the effects of fasting or feeding should be more pronounced after a longer period of time.
Treatment with the hormones and agonists for receptors in the putative gene network resulted in altered expression of other genes in the network. The fact that gene expression responses differed based upon the nutritional status of the chicks provides evidence that this pathway may indeed participate in the regulation of metabolic responses to feeding and fasting. As expected, the melanocortin pathway, involving POMC and MC4R, appears to play a critical role in feeding and satiety, along with NPY, and potentially AGRP. As αMSH has been shown in mice to regulate TRH and CRH [36, 37], and NPY and AGRP also function to reduce thyroid function [14, 38], the interaction of these genes likely influences many aspects of metabolism. The fact that all hormone treatments influenced mRNA levels for the neurotransmitter receptors ADRB2 and GRM8 suggests the possibility that neural coordination of metabolism occurs through these receptors.
These experiments utilized microarray analysis to evaluate gene expression profiles in the hypothalamus of newly hatched chicks. We found that expression of numerous genes was affected by fasting, and most were returned to the same level as fully fed chicks within 48 h of delayed feeding. A gene network consisting of 6 differentially regulated genes was associated from our list of 119 candidate genes. We confirmed interactions among these genes through culture of primary hypothalamic neurons. Our data indicate that the NPY (NPY, NPYR5) and melanocortin pathways (POMC, MC4R, AGRP) may play an integral part in the regulation of feed intake and metabolism by the hypothalamus and that the receptors ADRB2 and GRM8 may be involved in the regulation or effector mechanisms of these pathways. Further research is needed to completely elucidate potential interactions among these genes.
All animal experiments were approved by the institutional animal care and use committee at the University of Maryland, College Park. Fertile broiler eggs (Ross × Cobb) were obtained from a local hatchery, and were incubated under standard conditions (37.5 C and 60% relative humidity), with turning every hour for 18 days. On day 18, eggs were transferred to a hatching cabinet and were no longer rotated. Male chicks were identified by feather sexing at hatching, which was confirmed by visual inspection of the gonads at the time of dissection. Chicks receiving feed were fed a commercially available starter diet (Chick Start-N-Grow, CM-25-236007, Cooperative Milling, Gettysburg, PA) ad libitum, which was formulated to meet or exceed NRC nutrient recommendations (NRC, 1994). This diet also included the anti-coccidial drug Amprolium at 0.0125%.
Experiment 1: Fasting and Delayed Feeding
After hatching, male chicks were either provided immediate access to feed ad libitum or brooded with no access to feed. Only chicks that hatched within a 3-hour interval, 9:00 am to 12:00 pm on the 21st day of incubation, were used in order to reduce variability in age of post-hatch chicks. Chicks were brooded in cages after hatch beginning at 1pm, and all experimental samples were collected at 1pm on appropriate days. All feed was provided to delayed-fed chicks at 9 am or 1pm, and then chicks were sampled at the appropriate time point (Table 1). All chicks received free access to water and 24 h of light throughout the experiment. Ten groups were included in this experiment (Table 1). At each sampling time, chicks were weighed. After chicks were killed, the yolk sacs were removed and weighed. Hypothalamus samples were carefully dissected from 16 male chicks from each experimental group at the designated time. Initial incisions were made just anterior to the occulomotor nerve (Nervus occulomotorius) and posterior to the Tuberculum olfactorium, based on published descriptions and diagrams . Next, lateral cuts were made approximately 2 mm from the midline to yield a rectangular piece of tissue. This was placed on its side, and a final cut was made at a depth immediately below the subseptal organ (Organum subseptale) and parallel to the basal surface of the hypothalamus. Hypothalami were pooled to reduce the effect of variability among dissections and to ensure sufficient RNA for amplification. Two hypothalami were placed in a single cryotube and immediately snap frozen in liquid nitrogen for subsequent RNA isolation.
Microarrays consisting of 21,120 oligonucleotides were obtained from the Genomics Research Laboratory at the Steele Children's Research Center at the University of Arizona http://www.grl.steelecenter.arizona.edu/products.asp. This array was developed by ARK-Genomics http://www.ark-genomics.org/microarrays/bySpecies/chicken/ using chicken ENSEMBL transcripts, and covers much of the chicken genome. Annotation of this array is available at GEO http://www.ncbi.nlm.nih.gov/projects/geo/query/acc.cgi?acc=GPL6049. Total cellular RNA was isolated from the hypothalamus using the RNeasy Midi Kit (Qiagen, Valencia, CA) according to manufacturer's protocol. Quantification was accomplished using the Ribogreen assay (Invitrogen), and quality was evaluated by visualizing samples in a formaldehyde gel.
Two μg of pooled total RNA from two samples (4 hypothalami total) were then used for each amplification of mRNA using a modification of the Eberwine procedure  through the Amino Allyl MessageAmp™ II aRNA Amplification Kit (Ambion, Austin, TX). Briefly, reverse transcription was performed using an oligo dT primer containing a T7 promoter. The purified cDNA provided a template for in vitro transcription, which resulted in antisense amplified copies of mRNA containing the modified nucleotide 5-(3-aminoallyl)-UTP, which is necessary for dye labelling with the Alexa fluor dyes. Samples consisting of 20 μg of amplified RNA (aRNA) were labelled with Alexa fluor dyes (Invitrogen, Carlsbad, CA) and purified. Following analysis with the NanoDrop ND-1000 Full-spectrum UV/Vis Spectrophotometer (Thermo Scientific, Wilmington, DE) to determine concentration, 8 μg of purified labelled aRNA was hybridized to the microarrays using a reference design .
An internal reference standard, created by pooling aRNA from all samples within the experiment, was labeled with Alexa Fluor 647. Experimental samples labelled with Alexa Fluor 555 were hybridized to individual microarrays along with the Alexa 647-labeled reference pool. Labeled aRNA samples, plus 2.5 μl of 10 mg/ml yeast tRNA and 2.5 μl of 10 mg/ml salmon testes DNA (Sigma, St. Louis, MO), were hybridized to microarray slides overnight at 42C in microarray hybridization buffer (Roche Diagnostics Corporation, Indianapolis, IN). Following hybridization, slides were washed carefully with increasing stringency using salt sodium citrate and scanned with a 418 confocal laser scanner (Affymetrix) at 555 nm and 647 nm. Two TIFF images were obtained for each slide.
The data were analyzed according to established protocols in our laboratory as previously described . Images were initially analyzed using GenePix Pro 6.0 software (Molecular Devices, Sunnyvale, CA). The numeric data were then exported for data normalization using Microarray Data Analysis System (MIDAS; version 2.18). Data from the Alexa 555 channel (the experimental sample) were Lowess normalized by block without background correction, followed by standard deviation regularization first by block and then by slide, using the Alexa 647-labeled pool as a reference. The log2 ratio (normalized Alexa 555/Alexa 647; sample/reference pool) for each spot was calculated.
Prior to statistical analysis, Lowess normalized data were trimmed as follows. First, all results for individual genes on each array returning greater than 90% saturated pixel intensities and pixel intensities less than three times background were eliminated. Second, all genes missing more than 10 datapoints (25% of total) were discounted from further analysis. Third, any gene exhibiting less than a 1.6-fold difference among treatment groups in its mean pixel intensity (0.65 difference in the log2 ratios) were likewise eliminated. The resulting trimmed data were analyzed statistically using a one-way ANOVA (SAS) to compare gene expression between treatment groups. Spots (representing 119 genes total) determined to be statistically significant (p < 0.05) among treatment groups were analyzed further. Of the 119 genes, 31 were undescribed, and 12 represented hypothetical proteins. The data from this experiment are deposited in the Gene Expression Omnibus, Accession # GSE13257 http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE13257.
Genes that were differentially regulated due to treatment (missing no more than 25% data points, 1.6-fold difference in expression, P < 0.05) were further analyzed using the web-accessible Pathway Miner tool , freely available at http://www.biorag.org/pathway.html. This tool is capable of searching three freely available pathway resources: KEGG, Biocarta, and GenMAPP. Pathway Miner determines if there are pathways that are highly represented (enriched) within a dataset. For analysis, human protein ortholog NCBI accession numbers were manually assigned, and were available for 87 of the 119 genes. These 87 genes were submitted for analysis. GO terms were also assigned to these genes, and the biological process GO IDs are available in Additional file 3, supplemental table 3S. Additionally, analysis by Ingenuity Pathway Analysis software http://www.ingenuity.com was performed on two sets of genes. Initial analysis included genes that were differentially regulated only on d1 or d2 between fed and fasted chicks, and a second analysis was performed by submission of all 119 genes differentially expressed in this experiment. The pathways from this analysis are included in additional files 4, 5 and 6.
Quantitative reverse-transcription-real time polymerase chain reaction (qRT-PCR) was performed on 12 genes to confirm gene expression patterns observed by the microarray. All eight individual samples were used for the qRT-PCR analysis, due to the fact that the cost is much less for qRT-PCR than for microarray analysis, and inclusion of more samples in the qRT-PCR assay allowed more accurate analysis of gene expression. Two-step qRT-PCR was performed on all 80 samples. Each reaction included 0.5 μg of total RNA, an oligo dT primer (5'-CGGAATTCTTTTTTTTTTTTTTTTTTTTV-3': Sigma Genosys, St.Louis, MO), Superscript III reverse transcriptase and RNAse Out RNAse inhibitor (Invitrogen, Carlsbad, CA). A negative control for genomic DNA contamination was prepared by pooling RNA from each sample, and using 0.5 μg in a reaction without addition of Superscript III. All first strand cDNA reactions were diluted 5-fold prior to use in PCR reactions.
Primer sequences utilized for quantitative real-time PCR (qRT-PCR).
Forward Sequence (5'-3')
Reverse Sequence (3'-5')
Experiment 2: 24 or 48 h Fasted and Fed
Chicks were hatched as described for Experiment 1, but were maintained in brooder batteries for only 24 or 48 h with or without feed. At the end of 24 or 48 h, the hypothalamus was carefully dissected from 8 chicks each (32 chicks total), with 2 hypothalami pooled per tube (n = 4 pooled samples). Total RNA was extracted using the RNeasy Midi Kit, and reverse transcription followed by qRT-PCR for selected genes was performed as described above.
Experiment 3: Primary Cell Culture of Hypothalamic Neurons
Chicks were hatched as described above, and male chicks were placed in a brooder battery for 24 or 48 h with or without feed. Hypothalami were dissected from chicks (8 per treatment, per time) and placed in warm Hank's balanced salt solution containing 10 mM Hepes and 0.011 μL/mL sodium pyruvate (HBSS). The hypothalami were sequentially transferred to two additional dishes of warm HBSS using a sterile 5 mL serological pipet, then finally to 10 mL of SMEM medium (with Earle's salts, no L-glutamine, plus 110 U/mL penicillin G and streptomycin and 13.6 μL/mL bovine serum albumen) in a 15 mL conical tube containing 1 mg/mL trypsin. Tissues were incubated at 37C for 1 h, with trituration every 15 minutes to dissociate the cells. Cells were centrifuged and washed twice with DMEM (plus 110 U/mL penicillin G and streptomycin and 13.6 μL/mL bovine serum albumen). Following the last centrifugation, cells were resuspended in 1 mL of Neurobasal Medium containing B-27 supplement and 110 U/mL penicillin G and streptomycin (NBM). Cells were subjected to live/dead staining with trypan blue and enumerated. Six wells per treatment group and time point were plated at a concentration of 1 × 106 cells/well in poly-L-lysine coated 12-well plates in 100 μL volume. Following incubation at 37C for 1 h, 900 μL of NBM were added to each well, and neurons were incubated overnight. All cell culture media and additives were obtained from Invitrogen (Carlsbad, CA).
Cells were allowed to incubate for a total of 24 h to recover, after which receptor agonists were added in a 10 μL volume. Treatments included the following: PBS (control), alpha-melanocyte stimulating hormone (αMSH) (1 × 10-7 M), neuropeptide Y (NPY) (1 × 10-7 M), somatostatin (SRIF) (1 × 10-7 M), norepinephrine (NE) (1 × 10-4 M), and O-phospho-L-serine (LSOP) (1 × 10-3 M)  (all from Sigma-Aldrich, St. Louis, MO). Treatments were incubated in individual wells for 24 h, after which neurons were collected by retrypsinization in SMEM containing 0.25 mg/mL trypsin. RNA was extracted from the cells using the RNeasy Mini Kit (Qiagen, Valencia, CA), and reverse transcription was performed as described above, with the exception that the reaction was accomplished using 50 ng of RNA, and cDNA was diluted 1:1 before use. qRT-PCR for expression of pro-opiomelanocortin (POMC), melanocortin receptor 4 (MC4R), neuropeptide Y (NPY), neuropeptide Y receptor 5 (NPYR5), somatostatin receptor 5 (SSTR5), beta-adrenergic receptor 2 (ADRB2), and glutamate receptor 8 (GRM8), as well as the housekeeping gene phosphoglycerate kinase 1 (PGK1), was performed using the methods described above.
Statistics were performed on these data initially by use of a 3-way ANOVA comparing age, fed state, and cell culture treatment. As we were able to detect significant differences by both age and feeding state of the chicks, the data were then analyzed by age and treatment within a feeding state (fed or fasted). The data are expressed as relative to the control for each age and feeding state to determine only the effects of the agonists on each gene.
Funding for this research was provided by USDA-NRI #2005-35206-15288. The authors would like to thank Brenda Granberg for her assistance with figures.
- Kuenzel WJ: Central neuroanatomical systems involved in the regulation of food intake in birds and mammals. J Nutr. 1994, 124: 1355S-1370S.PubMedGoogle Scholar
- Richards MP, Proszkowiec-Weglarz M: Mechanisms regulating food intake, energy expenditure, and body weight in poultry. Poultry Science. 2007, 86: 1478-1490.PubMedView ArticleGoogle Scholar
- Furuse M: Central regulation of food intake in the neonatal chick. Animal Science Journal. 2002, 73: 83-94. 10.1046/j.1344-3941.2002.00014.x.View ArticleGoogle Scholar
- Boswell T: Regulation of energy balance in birds by the neuroendocrine hypothalamus. The Journal of Poultry Science. 2005, 42: 161-181. 10.2141/jpsa.42.161.View ArticleGoogle Scholar
- Desert C, Duclos MJ, Blavy P, Lecerf F, Moreews F, Klopp C, Aubry M, Herault F, Le Roy P, Berri C, Douaire M, Diot C, Lagarrigue S: Transcriptome profiling of the feeding-to-fasting transition in chicken liver. BMC Genomics. 2008, 9: 611-10.1186/1471-2164-9-611.PubMed CentralPubMedView ArticleGoogle Scholar
- Ojeda SR, McCann SM: The Anterior Pituitary and Hypothalamus. Textbook of Endocrine Physiology. Edited by: Griffin JE, Ojeda SR. 2000, Oxford: Oxford University Press, 128-162. FourthGoogle Scholar
- Gonzales E, Kondo N, Saldanha ÉSPB, Loddy MM, Careghi C, Decuypere E: Performance and physiological parameters of broiler chickens subjected to fasting on the neonatal period. Poultry Science. 2003, 82: 1250-1256.PubMedView ArticleGoogle Scholar
- Wang X, Day JR, Vasilatos-Younken R: The distribution of neuropeptide Y gene expression in the chicken brain. Molecular and Cellular Endocrinology. 2001, 174: 129-136. 10.1016/S0303-7207(00)00436-6.PubMedView ArticleGoogle Scholar
- Kuenzel WJ, McMurtry J: Neuropeptide Y: Brain localization and central effects on plasma insulin levels in chicks. Physiology and Behavior. 1988, 44: 669-678. 10.1016/0031-9384(88)90334-4.PubMedView ArticleGoogle Scholar
- Bruno JF, Xu Y, Song J, Berelowitz M: Tissue distribution of somatostatin receptor subtype messenger ribonucleic acid in the rat. Endocrinology. 1993, 133: 2561-2567. 10.1210/en.133.6.2561.PubMedGoogle Scholar
- Kumar U: Colocalization of somatostatin receptor subtypes (SSTR1-5) with somatostatin, NADPH-diaphorase (NADPH-d), and tyrosine hydroxlyase in the rat hypothalamus. The Journal of Comparative Neurology. 2007, 504: 185-205. 10.1002/cne.21444.PubMedView ArticleGoogle Scholar
- Marsh D, Miura GI, Yagaloff KA, Schwartz MW, Barsh GS, Palmiter RD: Effects of neuropeptide Y deficiency on hypothalamic agouti-related protein expression and responsiveness to melanocortin analogues. Brain Research. 1999, 848: 66-77. 10.1016/S0006-8993(99)01962-9.PubMedView ArticleGoogle Scholar
- Kim MS, Small CJ, Stanley SA, Morgan DGA, Seal LJ, Kong WM, Edwards CMB, Abusnana S, Sunter D, Ghatei MA, Bloom SR: The central melanocortin system affects the hypothalamo-pituitary thyroid axis and may mediate the effect of leptin. J Clin Invest. 2000, 105: 1005-1011. 10.1172/JCI8857.PubMed CentralPubMedView ArticleGoogle Scholar
- Williams G, Harrold JA, Cutler DJ: The hypothalamus and the regulation of energy homeostasis: lifting the lid on the black box. Proceedings of the Nutrition Society. 2000, 59: 385-396.PubMedView ArticleGoogle Scholar
- Fekete C, Sarkar S, Rand WM, Harney JW, Emerson CH, Bianco AC, Beck-Sickinger A, Lechan RM: Neuropeptide Y1 and Y5 receptors mediate the effects of neuropeptide Y on the hypothalamic-pituitary-thyroid axis. Endocrinology. 2002, 143: 4513-4519. 10.1210/en.2002-220574.PubMedView ArticleGoogle Scholar
- Stutz AM, Morrisson CD, Argyropoulos G: The Agouti-related protein and its role in energy homeostasis. Peptides. 2005, 26: 1771-1781. 10.1016/j.peptides.2004.12.024.PubMedView ArticleGoogle Scholar
- Tachibana T, Sugahara K, Ohgushi A, Ando R, Kawakami S, Yoshimatsu T, Furuse M: Intracerebroventricular injection of agouti-related prtotein attenuates the anorexigeninc effect of alpha-melanocyte stimulatin g hormone in neonatal chicks. Neuroscience Letters. 2001, 305: 131-134. 10.1016/S0304-3940(01)01827-4.PubMedView ArticleGoogle Scholar
- Prieur X, Tung YCL, Griffin JL, Farooqi IS, O'Rahilly S, Coll AC: Leptin regulates peripheral lipid metabolism primarily through central effects on food intake. Endocrinology. 2008, 149: 5432-5439. 10.1210/en.2008-0498.PubMed CentralPubMedView ArticleGoogle Scholar
- Dridi S, Swennen Q, Decuypere E, Buyse J: Mode of leptin action in chicken hypothalamus. Brain Research. 2005, 1047: 214-223. 10.1016/j.brainres.2005.04.034.PubMedView ArticleGoogle Scholar
- Coll A, Farooqi IS, O'Rahilly S: The hormonal control of food intake. Cell. 2007, 129: 251-262. 10.1016/j.cell.2007.04.001.PubMed CentralPubMedView ArticleGoogle Scholar
- Simon J, Rideau N, Taouis M: Reply to viewpoints by PJ Sharp, IC Dunn, D Waddington and T Boswell [Chicken Leptin: General and Comparative Endocrinology, 158, 2-4 (2008)]. General and Comparative Endocrinology. 2009, 161: 159-PubMedGoogle Scholar
- Sharp PJ, Dunn IC, Waddington D, Boswell T: Editorial: Chicken leptin. General and Comparative Endocrinology. 2008, 158: 2-4. 10.1016/j.ygcen.2008.05.018.PubMedView ArticleGoogle Scholar
- Horev G, Einat Paz, Aharoni Tomer, Eshdat Yuval, Friedman-Einat Miriam: Molecular cloning and properties of the chicken leptin-receptor (CLEPR) gene. Molecular and Cellular Endocrinology. 2000, 162: 95-106. 10.1016/S0303-7207(00)00205-7.PubMedView ArticleGoogle Scholar
- Liu X, Dunn IC, Sharp PJ, Boswell T: Molecular cloning and tissue distribution of a short form chicken leptin receptor mRNA. Domestic Animal Endocrinology. 2007, 32: 155-166. 10.1016/j.domaniend.2006.02.001.PubMedView ArticleGoogle Scholar
- McGowan BM, Stanley SA, Smith KL, White NE, Connolly MM, Thompson EL, Gardiner JV, Murphy KG, Ghatei MA, Bloom SR: Central relaxin-3 administration cuasese hyperphagia in male Wistar rats. Endocrinology. 2005, 146: 3295-3300. 10.1210/en.2004-1532.PubMedView ArticleGoogle Scholar
- McGowan BM, Stanley SA, Smith KL, Minnion JS, Donovan J, Thompson EL, Patterson M, Connolly MM, Abbott CR, Small CJ, Gardiner JV, Ghatei MA, Bloom SR: Effects of acute and chronic relaxin-3 on food intake and energy expenditure in rats. Regulatory Peptides. 2006, 136: 72-77. 10.1016/j.regpep.2006.04.009.PubMedView ArticleGoogle Scholar
- Cline MA, Smith ML: Central αMSH stimulating hormone attenuates behavioral effects of neuropeptide Y in chicks. Physiology and Behavior. 2007, 91: 588-592. 10.1016/j.physbeh.2007.03.021.PubMedView ArticleGoogle Scholar
- Gerets HHJ, Peeters K, Arckens L, Vandesande F, Berghman LR: Sequence and distribution of pro-opiomelanocortin in the pituitary and brain of the chicken (Gallus gallus). The Journal of Comparative Neurology. 2000, 417: 250-262. 10.1002/(SICI)1096-9861(20000207)417:2<250::AID-CNE9>3.0.CO;2-Z.PubMedView ArticleGoogle Scholar
- Takeuchi S, Teshigawara K, Takahashi S: Molecular cloning and characterization of hte chicken pro-opiomelanocortin (POMC) gene. Biochimica et Biophysica Acta. 1999, 1450: 452-459.PubMedView ArticleGoogle Scholar
- Li YZ, Davidowa H: Food deprivation decreases responsiveness of ventromedial hypothalamic neurons to melanocortins. Journal of Neuroscience Research. 2004, 77: 596-602. 10.1002/jnr.20192.PubMedView ArticleGoogle Scholar
- Cline MA, Nandar W, Bowden C, Hein PP, Denbow DM, Siegel PB: Differential feeding responses to central alpha-melanocyte stimulating hormone in genetically low and high body weight selected lines of chickens. Life Sciences. 2008, 83: 208-213. 10.1016/j.lfs.2008.06.003.PubMedView ArticleGoogle Scholar
- Hen G, Yosefi S, Simchaev V, Shinder D, Hruby VJ, Friedman-Einat M: The melanocortin circuit in obese and lean strains of chicks. Journal of Endocrinology. 2006, 190: 527-535. 10.1677/joe.1.06783.PubMed CentralPubMedView ArticleGoogle Scholar
- Takeuchi S, Teshigawara K, Takahashi S: Widespread expression of Agouti-related protein (AGRP) in the chicken: a possible involvement of AGRP in regulating peripheral melanocortin systems in the chicken. Biochimica et Biophysica Acta. 2000, 1496: 261-269.PubMedView ArticleGoogle Scholar
- Denbow DM, Sheppard BJ: Food and water intake responses of the domestic fowl to norepinephrine infusion at circumscribed neural sites. Brain Research Bulletin. 1993, 31: 121-128. 10.1016/0361-9230(93)90018-7.PubMedView ArticleGoogle Scholar
- Stanley BG, Willett VL, Donias HW, Ha LH, Spears LC: The lateral hypothalamus: a primary site mediating excitatroy amino acid-elicited eating. Brain Research. 1993, 630: 41-49. 10.1016/0006-8993(93)90640-9.PubMedView ArticleGoogle Scholar
- Sarkar S, Legradi G, Lechan RM: Intracerebroventricular administration of alpha-melanocyte stimulating hormone increases phosphorylation of CREB in TRH- and CRH- producing neurons of the hypothalamic paraventricular nucleus. Brain Research. 2002, 945: 50-59. 10.1016/S0006-8993(02)02619-7.PubMedView ArticleGoogle Scholar
- Fekete C, Légrádi G, Mihály E, Tatro JB, Rand WM, Lechan RM: α-Melanocyte stimulating hormone prevents fasting-induced suppression of corticotropin-releasing hormone gene expression in the rat hypothalamic paraventricular nucleus. Neuroscience Letters. 2000, 289: 152-156. 10.1016/S0304-3940(00)01256-8.PubMedView ArticleGoogle Scholar
- Sarkar S, Lechan RM: Central administration of neuropeptide Y reduces alpha-melanocyte-stimulating hormone-induced cyclic adenosine 5'-monophosphate response element binding protein (CREB) phosphorylation in pro-thyrotropin-releasing hormone neurons and increases CREB phosphorylation in corticotropin-releasing hormone neurons in the hypothalamic paraventricular nucleus. Endocrinology. 2003, 144: 281-291. 10.1210/en.2002-220675.PubMedView ArticleGoogle Scholar
- Kuenzel WJ, Masson M: A sterotaxic atlas of the brain of the chick (Gallus domesticus). 1988, Baltimore: Johns Hopkins University PressGoogle Scholar
- Phillips J, Eberwine JH: Antisense RNA amplification: a linear amplification method for analyzing the mRNA population from single living cells. Methods. 1996, 10: 283-288. 10.1006/meth.1996.0104.PubMedView ArticleGoogle Scholar
- Simon R, Radmacher MD, Dobbin K: Design of studies using DNA microarrays. Genet Epidemiol. 2002, 23: 21-36. 10.1002/gepi.202.PubMedView ArticleGoogle Scholar
- Ellestad LE, Carre W, Muchow M, Jenkins SA, Wang X, Cogburn LA, Porter TE: Gene expression profiling during cellular differentiation in the embryonic pituitary gland using cDNA microarrays. Physiological Genomics. 2006, 25: 414-425. 10.1152/physiolgenomics.00248.2005.PubMedView ArticleGoogle Scholar
- Pandey R, Guru RK, Mount DW: Pathway Miner: extracting gene associate networks from molecular pathways for predicting the biological significance of gene expression microarray data. Bioinformatics. 2004, 20: 1-3. 10.1093/bioinformatics/btg381.View ArticleGoogle Scholar
- Rozen S, Skaletsky HJ: Primer3 on the WWW for general users and for biologist programmers. Bioinformatics Methods and Protocols: Methods in Molecular Biology. Edited by: Krawetz S. aSM. 2000, Totowa, NJ: Humana Press, 365-386.Google Scholar
- Lieske SP, Ramirez J: Pattern-specific synaptic mechanisms in a multifunctional network. II. Intrinsic modulation by metabotropic glutamate receptors. J Neurophysiology. 2006, 95: 1334-1344. 10.1152/jn.00506.2004.View ArticleGoogle Scholar
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