Mass Spectrometry Quantification, Localization, and Discovery of Feeding-Related Neuropeptides in Cancer borealis

peer-reviewed · ACS Chemical Neuroscience · 2021

peer-reviewed · ACS Chemical Neuroscience · 2021. Kellen DeLaney et al. The crab Cancer borealis nervous system is an important model for understanding neural circuit dynamics and…
Date 2021-02-17
Type peer-reviewed
Venue ACS Chemical Neuroscience
Publisher American Chemical Society (ACS)
Contribution downstream-application
DOI 10.1021/acschemneuro.1c00007
Citations (OpenAlex) 33

Abstract

The crab Cancer borealis nervous system is an important model for understanding neural circuit dynamics and modulation, but the identity of neuromodulatory substances and their influence on circuit dynamics in this system remains incomplete, particularly with respect to behavioral state-dependent modulation. Therefore, we used a multifaceted mass spectrometry (MS) method to identify neuropeptides that differentiate the unfed and fed states. Duplex stable isotope labeling revealed that the abundance of 80 of 278 identified neuropeptides was distinct in ganglia and/or neurohemal tissue from fed vs unfed animals. MS imaging revealed that an additional 7 and 11 neuropeptides exhibited altered spatial distributions in the brain and the neuroendocrine pericardial organs (POs), respectively, during these two feeding states. Furthermore, de novo sequencing yielded 69 newly identified putative neuropeptides that may influence feeding state-related neuromodulation. Two of these latter neuropeptides were determined to be upregulated in PO tissue from fed crabs, and one of these two peptides influenced heartbeat in ex vivo preparations. Overall, the results presented here identify a cohort of neuropeptides that are poised to influence feeding-related behaviors, providing valuable opportunities for future functional studies.

Authors

  1. Kellen DeLaney · University of Wisconsin-Madison
  2. Mengzhou Hu · University of Wisconsin-Madison
  3. Tessa Hellenbrand · University of Wisconsin-Madison
  4. Patsy S. Dickinson · Bowdoin College
  5. Michael P. Nusbaum · University of Pennsylvania
  6. Lingjun Li · University of Wisconsin-Madison

Methods and tools

Methods it uses

  • PEAKS: Commercial DP-based de novo

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