Quantitative Proteomic Analysis of the Senescence-Associated Secretory Phenotype by Data-Independent Acquisition.

aging data-independent acquisition mass spectrometry quantitative proteomic analysis secretome senescence

Journal

Current protocols
ISSN: 2691-1299
Titre abrégé: Curr Protoc
Pays: United States
ID NLM: 101773894

Informations de publication

Date de publication:
Feb 2021
Historique:
entrez: 1 2 2021
pubmed: 2 2 2021
medline: 22 6 2021
Statut: ppublish

Résumé

Cellular senescence is a complex stress response that induces an essentially permanent cell cycle arrest and a complex secretory phenotype termed the senescence-associated secretory phenotype (SASP), which drives numerous aging pathologies. Characterization of the SASP can provide insights into aging and disease mechanisms, aging biomarker candidates, and targets for counteracting the deleterious effects of senescent cells. Here we describe a mass spectrometry (MS)-compatible protocol to (1) generate senescent cells using different stimuli, (2) collect conditioned medium containing proteins secreted by senescent cells (i.e., SASP), and (3) prepare the SASP for quantitative proteomic analysis using data-independent acquisition (DIA) MS. © 2021 The Authors. Basic Protocol 1: Generating ionizing radiation-induced senescent and control cells Alternate Protocol 1: Generating doxorubicin-induced senescent and control cells Alternate Protocol 2: Generating oncogenic RAS-induced senescent and control cells Alternate Protocol 3: Generating mitochondrial dysfunction-induced senescent and control cells Alternate Protocol 4: Generating atazanavir/ritonavir-induced senescent and control cells Support Protocol: A multiple-assay approach to confirm the phenotype of senescent cells Basic Protocol 2: Generating conditioned medium from senescent cells cultured in low serum and quiescent control cells Alternate Protocol 5: Generating conditioned medium from senescent cells cultured in complete medium and quiescent control cells Basic Protocol 3: Quantitative proteomic analysis of the SASP.

Identifiants

pubmed: 33524224
doi: 10.1002/cpz1.32
pmc: PMC7898702
mid: NIHMS1657803
doi:

Substances chimiques

Culture Media, Conditioned 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e32

Subventions

Organisme : NIH HHS
ID : U01 AG060906-02S1
Pays : United States
Organisme : NIA NIH HHS
ID : R01 AG051729
Pays : United States
Organisme : NIH HHS
ID : 1S10 OD016281
Pays : United States
Organisme : NIH HHS
ID : U01 AG060906-02
Pays : United States
Organisme : NIH HHS
ID : S10 OD028654
Pays : United States
Organisme : NIA NIH HHS
ID : U01 AG060906
Pays : United States
Organisme : NIH HHS
ID : K99 AG065484
Pays : United States
Organisme : NIA NIH HHS
ID : K99 AG065484
Pays : United States
Organisme : NIH HHS
ID : S10 OD016281
Pays : United States
Organisme : NIH HHS
ID : P01 AG017242
Pays : United States
Organisme : NIH HHS
ID : R01 AG051729
Pays : United States
Organisme : NIA NIH HHS
ID : P30 AG068345
Pays : United States
Organisme : NIA NIH HHS
ID : P01 AG017242
Pays : United States

Commentaires et corrections

Type : ErratumIn

Informations de copyright

© 2021 The Authors.

Auteurs

Francesco Neri (F)

The Buck Institute for Research on Aging, Novato, California.

Nathan Basisty (N)

The Buck Institute for Research on Aging, Novato, California.

Pierre-Yves Desprez (PY)

The Buck Institute for Research on Aging, Novato, California.
California Pacific Medical Center, San Francisco, California.

Judith Campisi (J)

The Buck Institute for Research on Aging, Novato, California.
Lawrence Berkeley National Laboratory, University of California, Berkeley, California.

Birgit Schilling (B)

The Buck Institute for Research on Aging, Novato, California.

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