---
_id: '11456'
abstract:
- lang: eng
  text: The proteomes of specialized structures, and the interactomes of proteins
    of interest, provide entry points to elucidate the functions of molecular machines.
    Here, we review a proximity-labeling strategy that uses the improved E. coli biotin
    ligase TurboID to characterize C. elegans protein complexes. Although the focus
    is on C. elegans neurons, the method is applicable regardless of cell type. We
    describe detailed extraction procedures that solubilize the bulk of C. elegans
    proteins and highlight the importance of tagging endogenous genes, to ensure physiological
    expression levels. We review issues associated with non-specific background noise
    and the importance of appropriate controls. As proof of principle, we review our
    analysis of the interactome of a presynaptic active zone protein, ELKS-1. Our
    aim is to provide a detailed protocol for TurboID-based proximity labeling in
    C. elegans and to highlight its potential and its limitations to characterize
    protein complexes and subcellular compartments in this animal.
acknowledgement: We thank de Bono lab members for the helpful comments on the manuscript.
  The biotin-auxotrophic E. coli strain MG1655bioB:kan was a generous gift from J.
  Cronan (University of Illinois) and was kindly sent to us by Jessica Feldman and
  Ariana Sanchez (Stanford University). dg398 pEntryslot2_mNeongreen::3XFLAG::stop
  and dg397 pEntryslot3_mNeongreen::3XFLAG::stop::unc-54 3’UTR entry vector were kindly
  sent by Dr. Dominique Glauser (University of Fribourg). This work was supported
  by an Advanced ERC Grant (269058 ACMO) and a Wellcome Investigator Award (209504/Z/17/Z)
  to MdB and an ISTplus Fellowship to MA (Marie Sklodowska-Curie agreement No 754411).
alternative_title:
- Neuromethods
article_processing_charge: No
author:
- first_name: Murat
  full_name: Artan, Murat
  id: C407B586-6052-11E9-B3AE-7006E6697425
  last_name: Artan
- first_name: Mario
  full_name: de Bono, Mario
  id: 4E3FF80E-F248-11E8-B48F-1D18A9856A87
  last_name: de Bono
  orcid: 0000-0001-8347-0443
citation:
  ama: 'Artan M, de Bono M. Proteomic Analysis of C. Elegans Neurons Using TurboID-Based
    Proximity Labeling. In: Yamamoto D, ed. <i>Behavioral Neurogenetics</i>. Vol 181.
    NM. New York: Springer Nature; 2022:277-294. doi:<a href="https://doi.org/10.1007/978-1-0716-2321-3_15">10.1007/978-1-0716-2321-3_15</a>'
  apa: 'Artan, M., &#38; de Bono, M. (2022). Proteomic Analysis of C. Elegans Neurons
    Using TurboID-Based Proximity Labeling. In D. Yamamoto (Ed.), <i>Behavioral Neurogenetics</i>
    (Vol. 181, pp. 277–294). New York: Springer Nature. <a href="https://doi.org/10.1007/978-1-0716-2321-3_15">https://doi.org/10.1007/978-1-0716-2321-3_15</a>'
  chicago: 'Artan, Murat, and Mario de Bono. “Proteomic Analysis of C. Elegans Neurons
    Using TurboID-Based Proximity Labeling.” In <i>Behavioral Neurogenetics</i>, edited
    by Daisuke Yamamoto, 181:277–94. NM. New York: Springer Nature, 2022. <a href="https://doi.org/10.1007/978-1-0716-2321-3_15">https://doi.org/10.1007/978-1-0716-2321-3_15</a>.'
  ieee: 'M. Artan and M. de Bono, “Proteomic Analysis of C. Elegans Neurons Using
    TurboID-Based Proximity Labeling,” in <i>Behavioral Neurogenetics</i>, vol. 181,
    D. Yamamoto, Ed. New York: Springer Nature, 2022, pp. 277–294.'
  ista: 'Artan M, de Bono M. 2022.Proteomic Analysis of C. Elegans Neurons Using TurboID-Based
    Proximity Labeling. In: Behavioral Neurogenetics. Neuromethods, vol. 181, 277–294.'
  mla: Artan, Murat, and Mario de Bono. “Proteomic Analysis of C. Elegans Neurons
    Using TurboID-Based Proximity Labeling.” <i>Behavioral Neurogenetics</i>, edited
    by Daisuke Yamamoto, vol. 181, Springer Nature, 2022, pp. 277–94, doi:<a href="https://doi.org/10.1007/978-1-0716-2321-3_15">10.1007/978-1-0716-2321-3_15</a>.
  short: M. Artan, M. de Bono, in:, D. Yamamoto (Ed.), Behavioral Neurogenetics, Springer
    Nature, New York, 2022, pp. 277–294.
date_created: 2022-06-20T08:10:34Z
date_published: 2022-06-04T00:00:00Z
date_updated: 2023-02-21T09:51:55Z
day: '04'
department:
- _id: MaDe
doi: 10.1007/978-1-0716-2321-3_15
ec_funded: 1
editor:
- first_name: Daisuke
  full_name: Yamamoto, Daisuke
  last_name: Yamamoto
intvolume: '       181'
language:
- iso: eng
month: '06'
oa_version: None
page: 277-294
place: New York
project:
- _id: 23870BE8-32DE-11EA-91FC-C7463DDC885E
  grant_number: 209504/A/17/Z
  name: Molecular mechanisms of neural circuit function
- _id: 260C2330-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '754411'
  name: ISTplus - Postdoctoral Fellowships
publication: Behavioral Neurogenetics
publication_identifier:
  eisbn:
  - '9781071623213'
  eissn:
  - 1940-6045
  isbn:
  - '9781071623206'
  issn:
  - 0893-2336
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
series_title: NM
status: public
title: Proteomic Analysis of C. Elegans Neurons Using TurboID-Based Proximity Labeling
type: book_chapter
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 181
year: '2022'
...