Literature DB >> 12096110

Differential proteome analysis of replicative senescence in rat embryo fibroblasts.

Silvia Benvenuti1, Rainer Cramer, Christopher C Quinn, Jim Bruce, Marketa Zvelebil, Steven Corless, Jacquelyn Bond, Alice Yang, Susan Hockfield, Alma L Burlingame, Michael D Waterfield, Parmjit S Jat.   

Abstract

Normal somatic cells undergo a finite number of divisions and then cease dividing whereas cancer cells are able to proliferate indefinitely. To identify the underlying mechanisms that limit the mitotic potential, a two-dimensional differential proteome analysis of replicative senescence in serially passaged rat embryo fibroblasts was undertaken. Triplicate independent two-dimensional gels containing over 1200 spots each were run, curated, and analyzed. This revealed 49 spots whose expression was altered more than 2-fold. Of these, 42 spots yielded positive protein identification by mass spectrometry comprising a variety of cytoskeletal, heat shock, and metabolic proteins, as well as proteins involved in trafficking, differentiation, and protein synthesis, turnover, and modification. These included gelsolin, a candidate tumor suppressor for breast cancer, and alpha-glucosidase II, a member of the family of glucosidases that includes klotho; a defect in klotho expression in mice results in a syndrome that resembles human aging. Changes in expression of TUC-1, -2, -4, and -4 beta, members of the TUC family critical for neuronal differentiation, were also identified. Some of the identified changes were also shown to occur in two other models of senescence, premature senescence of REF52 cells and replicative senescence of mouse embryo fibroblasts. The majority of these candidate proteins were unrecognized previously in replicative senescence. They are now implicated in a new role.

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Year:  2002        PMID: 12096110     DOI: 10.1074/mcp.m100028-mcp200

Source DB:  PubMed          Journal:  Mol Cell Proteomics        ISSN: 1535-9476            Impact factor:   5.911


  11 in total

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2.  Oncogene-induced cellular senescence elicits an anti-Warburg effect.

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Review 3.  Critical pathways in cellular senescence and immortalization revealed by gene expression profiling.

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Journal:  Oncogene       Date:  2008-08-18       Impact factor: 9.867

4.  Functional proteomic analysis of long-term growth factor stimulation and receptor tyrosine kinase coactivation in Swiss 3T3 fibroblasts.

Authors:  Kohji Nagano; Akunna Akpan; Gayathri Warnasuriya; Steven Corless; Nick Totty; Alice Yang; Robert Stein; Marketa Zvelebil; Allan Stensballe; Al Burlingame; Michael Waterfield; Rainer Cramer; John F Timms; Søren Naaby-Hansen
Journal:  Mol Cell Proteomics       Date:  2012-09-06       Impact factor: 5.911

5.  Transcriptional networks and cellular senescence in human mammary fibroblasts.

Authors:  K Hardy; L Mansfield; A Mackay; S Benvenuti; S Ismail; P Arora; M J O'Hare; P S Jat
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6.  Cellular phenotype-dependent and -independent effects of vitamin C on the renewal and gene expression of mouse embryonic fibroblasts.

Authors:  Shiu-Ming Kuo; Lana R Burl; Zihua Hu
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7.  Towards scarless wound healing: a comparison of protein expression between human, adult and foetal fibroblasts.

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8.  Comparative proteome analysis of breast cancer and adjacent normal breast tissues in human.

Authors:  Shi-Shan Deng; Tian-Yong Xing; Hong-Ying Zhou; Ruo-Hong Xiong; You-Guang Lu; Bin Wen; Shang-Qing Liu; Hui-Jun Yang
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9.  Impaired energy metabolism of senescent muscle satellite cells is associated with oxidative modifications of glycolytic enzymes.

Authors:  Martín A Baraibar; Janek Hyzewicz; Adelina Rogowska-Wrzesinska; Anne-Laure Bulteau; Carina Prip-Buus; Gillian Butler-Browne; Bertrand Friguet
Journal:  Aging (Albany NY)       Date:  2016-12-04       Impact factor: 5.682

10.  Sample prep for proteomics of breast cancer: proteomics and gene ontology reveal dramatic differences in protein solubilization preferences of radioimmunoprecipitation assay and urea lysis buffers.

Authors:  Lambert C M Ngoka
Journal:  Proteome Sci       Date:  2008-10-24       Impact factor: 2.480

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