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Published March 22, 2011 | Supplemental Material + Published
Journal Article Open

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

Abstract

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.

Additional Information

© 2011 Baugh et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Received August 20, 2010; Accepted February 24, 2011; Published March 22, 2011. Editor: Simon Melov, Buck Institute for Age Research, United States of America. This work was funded by the Howard Hughes Medical Institute (P.W.S.), the American Cancer Society (L.R.B. PF-06-028-01-DDC) and start up funds from Duke University (L.R.B.). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. We would like to thank Eric Davidson for use of the nCounter instrument, and Stefan Materna for advice and help processing samples for nCounter analysis. We would also like to thank the Mitani Lab and the National BioResource Project for providing deletion alleles of insulin-like genes. Author Contributions: Conceived and designed the experiments: LRB. Performed the experiments: LRB NK. Analyzed the data: LRB. Contributed reagents/materials/analysis tools: PWS. Wrote the paper: LRB PWS.

Attached Files

Published - Baugh2011p13447PLoS_ONE.pdf

Supplemental Material - journal.pone.0018086.s001.xls

Supplemental Material - journal.pone.0018086.s002.xls

Supplemental Material - journal.pone.0018086.s003.xls

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Additional details

Created:
August 19, 2023
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October 23, 2023