Literature DB >> 31940439

Elucidating Proteoform Dynamics Underlying the Senescence Associated Secretory Phenotype.

Peter F Doubleday1, Luca Fornelli2, Neil L Kelleher1.   

Abstract

Primary diploid cells exit the cell cycle in response to exogenous stress or oncogene activation through a process known as cellular senescence. This cell-autonomous tumor-suppressive mechanism is also a major mechanism operative in organismal aging. To date, temporal aspects of senescence remain understudied. Therefore, we use quantitative proteomics to investigate changes following forced HRASG12V expression and induction of senescence across 1 week in normal diploid fibroblasts. We demonstrate that global intracellular proteomic changes correlate with the emergence of the senescence-associated secretory phenotype and the switch to robust cell cycle exit. The senescence secretome reinforces cell cycle exit, yet is largely detrimental to tissue homeostasis. Previous studies of secretomes rely on ELISA, bottom-up proteomics or RNA-seq. To date, no study to date has examined the proteoform complexity of secretomes to elucidate isoform-specific, post-translational modifications or regulated cleavage of signal peptides. Therefore, we use a quantitative top-down proteomics approach to define the molecular complexity of secreted proteins <30 kDa. We identify multiple forms of immune regulators with known activities and affinities such as distinct forms of interleukin-8, as well as GROα and HMGA1, and temporally resolve secreted proteoform dynamics. Together, our work demonstrates the complexity of the secretome past individual protein accessions and provides motivation for further proteoform-resolved measurements of the secretome.

Entities:  

Keywords:  proteoform; quantitative proteomics; secretome; senescence; top-down proteomics

Mesh:

Substances:

Year:  2020        PMID: 31940439      PMCID: PMC7032038          DOI: 10.1021/acs.jproteome.9b00739

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  59 in total

1.  Proteoform: a single term describing protein complexity.

Authors:  Lloyd M Smith; Neil L Kelleher
Journal:  Nat Methods       Date:  2013-03       Impact factor: 28.547

2.  Mapping Proteoforms and Protein Complexes From King Cobra Venom Using Both Denaturing and Native Top-down Proteomics.

Authors:  Rafael D Melani; Owen S Skinner; Luca Fornelli; Gilberto B Domont; Philip D Compton; Neil L Kelleher
Journal:  Mol Cell Proteomics       Date:  2016-05-13       Impact factor: 5.911

3.  Differential in vivo modifications of the HMGI(Y) nonhistone chromatin proteins modulate nucleosome and DNA interactions.

Authors:  G C Banks; Y Li; R Reeves
Journal:  Biochemistry       Date:  2000-07-18       Impact factor: 3.162

Review 4.  The DCBLD receptor family: emerging signaling roles in development, homeostasis and disease.

Authors:  Anna M Schmoker; Alicia M Ebert; Bryan A Ballif
Journal:  Biochem J       Date:  2019-03-22       Impact factor: 3.857

5.  Derepression of hTERT gene expression promotes escape from oncogene-induced cellular senescence.

Authors:  Priyanka L Patel; Anitha Suram; Neena Mirani; Oliver Bischof; Utz Herbig
Journal:  Proc Natl Acad Sci U S A       Date:  2016-08-08       Impact factor: 11.205

6.  Purification of granulocyte chemotactic peptide/interleukin-8 reveals N-terminal sequence heterogeneity similar to that of beta-thromboglobulin.

Authors:  J Van Damme; J Van Beeumen; R Conings; B Decock; A Billiau
Journal:  Eur J Biochem       Date:  1989-05-01

7.  Chemokine signaling via the CXCR2 receptor reinforces senescence.

Authors:  Juan C Acosta; Ana O'Loghlen; Ana Banito; Maria V Guijarro; Arnaud Augert; Selina Raguz; Marzia Fumagalli; Marco Da Costa; Celia Brown; Nikolay Popov; Yoshihiro Takatsu; Jonathan Melamed; Fabrizio d'Adda di Fagagna; David Bernard; Eva Hernando; Jesús Gil
Journal:  Cell       Date:  2008-06-13       Impact factor: 41.582

Review 8.  Signal transduction by reactive oxygen species.

Authors:  Toren Finkel
Journal:  J Cell Biol       Date:  2011-07-11       Impact factor: 10.539

Review 9.  Isobaric labeling-based relative quantification in shotgun proteomics.

Authors:  Navin Rauniyar; John R Yates
Journal:  J Proteome Res       Date:  2014-11-04       Impact factor: 4.466

Review 10.  Old cells, new tricks: chromatin structure in senescence.

Authors:  Aled John Parry; Masashi Narita
Journal:  Mamm Genome       Date:  2016-03-28       Impact factor: 2.957

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  1 in total

Review 1.  High Mobility Group A1 (HMGA1): Structure, Biological Function, and Therapeutic Potential.

Authors:  Lu Wang; Ji Zhang; Min Xia; Chang Liu; Xuyu Zu; Jing Zhong
Journal:  Int J Biol Sci       Date:  2022-07-04       Impact factor: 10.750

  1 in total

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