Literature DB >> 28508578

Proteomic characterization of EL4 lymphoma-derived tumors upon chemotherapy treatment reveals potential roles for lysosomes and caspase-6 during tumor cell death in vivo.

David A Kramer1, Mohamed A Eldeeb1, Melinda Wuest2, John Mercer2, Richard P Fahlman1,2.   

Abstract

The murine mouse lymphoblastic lymphoma cell line (EL4) tumor model is an established in vivo apoptosis model for the investigation of novel cancer imaging agents and immunological treatments due to the rapid and significant response of the EL4 tumors to cyclophosphamide and etoposide combination chemotherapy. Despite the utility of this model system in cancer research, little is known regarding the molecular details of in vivo tumor cell death. Here, we report the first in-depth quantitative proteomic analysis of the changes that occur in these tumors upon cyclophosphamide and etoposide treatment in vivo. Using a label-free quantitative proteomic approach a total of 5838 proteins were identified in the treated and untreated tumors, of which 875 were determined to change in abundance with statistical significance. Initial analysis of the data reveals changes that may have been predicted, such as the downregulation of ribosomes, but demonstrates the robustness of the dataset. Analysis of the dataset also reveals the unexpected downregulation of caspase-3 and an upregulation of caspase-6 in addition to a global upregulation of lysosomal proteins in the bulk of the tumor.
© 2017 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  Comparative proteomics; EL4 tumor; LC-MS/MS; Mass spectrometry; Proteomics; Tumor death

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Year:  2017        PMID: 28508578     DOI: 10.1002/pmic.201700060

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  1 in total

1.  An RNA guanine quadruplex regulated pathway to TRAIL-sensitization by DDX21.

Authors:  Ewan K S McRae; Steven J Dupas; Evan P Booy; Ramanaguru S Piragasam; Richard P Fahlman; Sean A McKenna
Journal:  RNA       Date:  2019-10-25       Impact factor: 4.942

  1 in total

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