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Transcriptional Profiling of C. elegans Adult Cells and Tissues with Age

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Aging

Part of the book series: Methods in Molecular Biology ((MIMB,volume 2144))

Abstract

Multicellular organisms are composed of distinct cells and tissues that coordinate highly orchestrated responses to environmental challenges, including those that arise with age. Since C. elegans is a premier model system used to study the molecular and cellular regulators of adult and aging phenotypes, cell type- and tissue-specific approaches are needed to characterize the genome-wide expression changes associated with these responses. Here we describe a method for the FACS-based isolation and RNA sequencing of dissociated cells from adult C. elegans. This technique is amenable to profiling the cell- and tissue-specific gene expression changes in C. elegans mutants, including aging models, such as the daf-2/insulin-like signaling (IIS) pathway, and in wild-type animals with age.

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Acknowledgments

This work was supported by an NIH Pioneer Award (DP1, 5DP1GM119167) and Cognitive Aging R01 (R01AG034446) to C.T.M.

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Authors and Affiliations

  1. Department of Molecular Biology, Princeton University, Princeton, NJ, USA

    Rachel Kaletsky & Coleen T. Murphy

  2. Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA

    Rachel Kaletsky & Coleen T. Murphy

Authors
  1. Rachel Kaletsky
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  2. Coleen T. Murphy
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Corresponding author

Correspondence to Coleen T. Murphy .

Editor information

Editors and Affiliations

  1. Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA

    Sean P. Curran

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Kaletsky, R., Murphy, C.T. (2020). Transcriptional Profiling of C. elegans Adult Cells and Tissues with Age. In: Curran, S. (eds) Aging. Methods in Molecular Biology, vol 2144. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-0592-9_16

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  • DOI: https://doi.org/10.1007/978-1-0716-0592-9_16

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  • Publisher Name: Humana, New York, NY

  • Print ISBN: 978-1-0716-0591-2

  • Online ISBN: 978-1-0716-0592-9

  • eBook Packages: Springer Protocols

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