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1.
J Proteome Res ; 17(2): 879-890, 2018 02 02.
Article in English | MEDLINE | ID: mdl-29322779

ABSTRACT

Secretome analysis faces several challenges including detection of low abundant proteins and the discrimination of bona fide secreted proteins from false-positive identifications stemming from cell leakage or serum. Here, we developed a two-step secretomics approach and applied it to the analysis of secreted proteins of C2C12 skeletal muscle cells since the skeletal muscle has been identified as an important endocrine organ secreting myokines as signaling molecules. First, we compared culture supernatants with corresponding cell lysates by mass spectrometry-based proteomics and label-free quantification. We identified 672 protein groups as candidate secreted proteins due to their higher abundance in the secretome. On the basis of Brefeldin A mediated blocking of classical secretory processes, we estimated a sensitivity of >80% for the detection of classical secreted proteins for our experimental approach. In the second step, the peptide level information was integrated with UniProt based protein information employing the newly developed bioinformatics tool "Lysate and Secretome Peptide Feature Plotter" (LSPFP) to detect proteolytic protein processing events that might occur during secretion. Concerning the proof of concept, we identified truncations of the cytoplasmic part of the protein Plexin-B2. Our workflow provides an efficient combination of experimental workflow and data analysis to identify putative secreted and proteolytic processed proteins.


Subject(s)
Culture Media, Conditioned/chemistry , Data Mining/statistics & numerical data , Muscle Cells/metabolism , Muscle Proteins/analysis , Proteome/analysis , Animals , Brefeldin A/pharmacology , Cell Line , Chromatography, Liquid , Computational Biology/methods , Mice , Muscle Cells/chemistry , Muscle Cells/drug effects , Muscle Proteins/metabolism , Nerve Tissue Proteins/analysis , Nerve Tissue Proteins/chemistry , Proteolysis , Spectrometry, Mass, Electrospray Ionization
2.
J Virol ; 87(5): 2707-20, 2013 Mar.
Article in English | MEDLINE | ID: mdl-23255806

ABSTRACT

Within target T lymphocytes, human immunodeficiency virus type I (HIV-1) encounters the retroviral restriction factor APOBEC3G (apolipoprotein B mRNA-editing enzyme, catalytic polypeptide-like 3G; A3G), which is counteracted by the HIV-1 accessory protein Vif. Vif is encoded by intron-containing viral RNAs that are generated by splicing at 3' splice site (3'ss) A1 but lack splicing at 5'ss D2, which results in the retention of a large downstream intron. Hence, the extents of activation of 3'ss A1 and repression of D2, respectively, determine the levels of vif mRNA and thus the ability to evade A3G-mediated antiviral effects. The use of 3'ss A1 can be enhanced or repressed by splicing regulatory elements that control the recognition of downstream 5'ss D2. Here we show that an intronic G run (G(I2)-1) represses the use of a second 5'ss, termed D2b, that is embedded within intron 2 and, as determined by RNA deep-sequencing analysis, is normally inefficiently used. Mutations of G(I2)-1 and activation of D2b led to the generation of transcripts coding for Gp41 and Rev protein isoforms but primarily led to considerable upregulation of vif mRNA expression. We further demonstrate, however, that higher levels of Vif protein are actually detrimental to viral replication in A3G-expressing T cell lines but not in A3G-deficient cells. These observations suggest that an appropriate ratio of Vif-to-A3G protein levels is required for optimal virus replication and that part of Vif level regulation is effected by the novel G run identified here.


Subject(s)
Cytidine Deaminase/metabolism , HIV-1/genetics , Introns/genetics , RNA Splicing , vif Gene Products, Human Immunodeficiency Virus/genetics , APOBEC-3G Deaminase , Amino Acid Sequence , Cell Line , Cytidine Deaminase/genetics , HEK293 Cells , HIV Envelope Protein gp41/chemistry , HIV Envelope Protein gp41/genetics , HIV-1/physiology , HeLa Cells , Humans , Jurkat Cells , Molecular Sequence Data , Mutation , RNA Splice Sites , RNA, Messenger/genetics , RNA, Viral/genetics , Sequence Alignment , Sequence Analysis, RNA , T-Lymphocytes/immunology , T-Lymphocytes/virology , Up-Regulation , Virus Replication , rev Gene Products, Human Immunodeficiency Virus/genetics , rev Gene Products, Human Immunodeficiency Virus/metabolism , vif Gene Products, Human Immunodeficiency Virus/biosynthesis
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