Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Identification and Comparative Analyses of Myocardial miRNAs Involved in Fetal Response to Maternal Obesity

ABSTRACT: Maternal obesity programs the offspring to cardiovascular disease, insulin resistance, and obesity. We sequenced and profiled the cardiac miRNAs that were dysregulated in the hearts of baboon fetuses born to a high fat / high fructose diet fed mothers compared to a regular diet fed mothers. Fetal hearts were collected from baboon fetuses born to obese and lean mothers, total RNA was isolated, and fetal cardiac miRNA were sequenced and profiled

ORGANISM(S): Papio hamadryas

SUBMITTER: Alina Maloyan

PROVIDER: E-GEOD-43323 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Identification and comparative analyses of myocardial miRNAs involved in the fetal response to maternal obesity.

Maloyan Alina A Muralimanoharan Sribalasubashini S Huffman Steven S Cox Laura A LA Nathanielsz Peter W PW Myatt Leslie L Nijland Mark J MJ

Physiological genomics 20130806 19

Human and animal studies show that suboptimal intrauterine environments lead to fetal programming, predisposing offspring to disease in later life. Maternal obesity has been shown to program offspring for cardiovascular disease (CVD), diabetes, and obesity. MicroRNAs (miRNAs) are small, noncoding RNA molecules that act as key regulators of numerous cellular processes. Compelling evidence links miRNAs to the control of cardiac development and etiology of cardiac pathology; however, little is know ...[more]

PMID: 23922128

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Project description:In honey bees, Vitellogenin (Vg) is hypothesized to be a major factor affecting hormone signaling, food-related behavior, immunity, stress resistance and lifespan. Likewise microRNAs play important roles in posttranscriptional gene regulation and affect many biological processes thereby showing many parallels to Vg functions. The molecular basis of Vg and microRNA interactions is largely unknown. Here, we exploited the well-established RNA interference (RNAi) protocol for Vg knockdown to investigate its effects on microRNA population in honey bee foragerM-bM-^@M-^Ys brain and fat body tissue. To identify microRNAs that are differentially expressed between tissues in control and knockdown foragers, we used M-BM-5ParafloM-BM-. microfluidic oligonucleotide microRNA microarrays. Our results show 76 and 74 miRNAs were expressed in the brain of control and knockdown foragers whereas 66 and 69 miRNAs were expressed in the fat body of control and knockdown foragers respectively. Target prediction identified potential seed matches for differentially expressed subset of microRNAs affected by Vg knockdown. These candidate genes are involved in a broad range of biological processes including insulin signaling, juvenile hormone (JH) and ecdysteroid signaling previously shown to affect foraging behavior. Thus, here we demonstrate a causal link between Vg expression-variation and variation in the abundance of microRNAs in different tissues with possible consequences for regulation of foraging behavior. We knocked down Vitellogenin (Vg) gene expression (using RNAi) in adult workers to identify potential downstream consequences on the expression of microRNA population in the fat body compared to control group (dsRNA-GFP injected bees). Six biological samples of fat body-derived small RNA fraction were prepared for each treatment group (dsRNA-Vg and dsRNA-GFP). Each biological sample contained pooled RNA from 5 unique individuals. Each fat body pool contained a total of 2 M-BM-5g of small RNA fraction, to which each of the 5 individuals contributed equally (400 ng). Pools were named as M-bM-^@M-^\control forager fat bodyM-bM-^@M-^] (GFFb) and M-bM-^@M-^\knockdown forager fat bodyM-bM-^@M-^] (VFFb), followed by a number from 1 to 6.

Project description:In honey bees, Vitellogenin (Vg) is hypothesized to be a major factor affecting hormone signaling, food-related behavior, immunity, stress resistance and lifespan. Likewise microRNAs play important roles in posttranscriptional gene regulation and affect many biological processes thereby showing many parallels to Vg functions. The molecular basis of Vg and microRNA interactions is largely unknown. Here, we exploited the well-established RNA interference (RNAi) protocol for Vg knockdown to investigate its effects on microRNA population in honey bee foragerM-bM-^@M-^Ys brain and fat body tissue. To identify microRNAs that are differentially expressed between tissues in control and knockdown foragers, we used M-BM-5ParafloM-BM-. microfluidic oligonucleotide microRNA microarrays. Our results show 76 and 74 miRNAs were expressed in the brain of control and knockdown foragers whereas 66 and 69 miRNAs were expressed in the fat body of control and knockdown foragers respectively. Target prediction identified potential seed matches for differentially expressed subset of microRNAs affected by Vg knockdown. These candidate genes are involved in a broad range of biological processes including insulin signaling, juvenile hormone (JH) and ecdysteroid signaling previously shown to affect foraging behavior. Thus, here we demonstrate a causal link between Vg expression-variation and variation in the abundance of microRNAs in different tissues with possible consequences for regulation of foraging behavior. We knocked down Vitellogenin (Vg) gene expression (using RNAi) in adult workers to identify potential downstream consequences on the expression of microRNA population in the brain compared to control group (dsRNA-GFP injected bees). Six biological samples of brain-derived small RNA fraction were prepared for each treatment group (dsRNA-Vg and dsRNA-GFP). Each biological sample contained pooled RNA from 5 unique individuals. Each brain pool contained a total of 1 M-BM-5g of small RNA fraction, to which each of the 5 individuals contributed equally (200 ng). Pools were named as M-bM-^@M-^\control forager brainM-bM-^@M-^] (GFBr) and M-bM-^@M-^\knockdown forager brainM-bM-^@M-^] (VFBr), followed by a number from 1 to 6.

Dataset Information

Identification and Comparative Analyses of Myocardial miRNAs Involved in Fetal Response to Maternal Obesity

Publications

Identification and comparative analyses of myocardial miRNAs involved in the fetal response to maternal obesity.

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