Sensitive and Precise Quantification of Insulin-Like mRNA Expression in Caenorhabditis elegans

被引:36
作者
Baugh, L. Ryan [1 ,2 ]
Kurhanewicz, Nicole [1 ,2 ]
Sternberg, Paul W. [3 ,4 ]
机构
[1] Duke Univ, Dept Biol, Durham, NC 27706 USA
[2] Duke Univ, IGSP Ctr Syst Biol, Durham, NC USA
[3] CALTECH, Howard Hughes Med Inst, Pasadena, CA 91125 USA
[4] CALTECH, Div Biol, Pasadena, CA 91125 USA
关键词
C-ELEGANS; LIFE-SPAN; TRANSCRIPTION FACTOR; DAUER LARVA; DAF-2; LONGEVITY; RECEPTOR; GENE; MEMBER; DIAPAUSE;
D O I
10.1371/journal.pone.0018086
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
070301 [无机化学]; 070403 [天体物理学]; 070507 [自然资源与国土空间规划学]; 090105 [作物生产系统与生态工程];
摘要
Insulin-like signaling regulates developmental arrest, stress resistance and lifespan in the nematode Caenorhabditis elegans. However, the genome encodes 40 insulin-like peptides, and the regulation and function of individual peptides is largely uncharacterized. We used the nCounter platform to measure mRNA expression of all 40 insulin-like peptides as well as the insulin-like receptor daf-2, its transcriptional effector daf-16, and the daf-16 target gene sod-3. We validated the platform using 53 RNA samples previously characterized by high density oligonucleotide microarray analysis. For this set of genes and the standard nCounter protocol, sensitivity and precision were comparable between the two platforms. We optimized conditions of the nCounter assay by varying the mass of total RNA used for hybridization, thereby increasing sensitivity up to 50-fold and reducing the median coefficient of variation as much as 4-fold. We used deletion mutants to demonstrate specificity of the assay, and we used optimized conditions to assay insulin-like gene expression throughout the C. elegans life cycle. We detected expression for nearly all insulin-like genes and find that they are expressed in a variety of distinct patterns suggesting complexity of regulation and specificity of function. We identified insulin-like genes that are specifically expressed during developmental arrest, larval development, adulthood and embryogenesis. These results demonstrate that the nCounter platform provides a powerful approach to analyzing insulin-like gene expression dynamics, and they suggest hypotheses about the function of individual insulin-like genes.
引用
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页数:8
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