ArticleInternational journal of proteomics2013
iTRAQ-Based and Label-Free Proteomics Approaches for Studies of Human Adenovirus Infections.
Article in International journal of proteomics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.
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Who cites it
41 citing papers in PubMed.
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- Proteomics Clustering Research of ITRAQ Markers in Plasma of AIDS Patients with Different Chinese Medicine Syndromes.Iranian journal of public health · 2024Article
- Chemo-proteomics in antimalarial target identification and engagement.Medicinal research reviews · 2023Review
- Oncogenic Proteomics Approaches for Translational Research and HIV-Associated Malignancy Mechanisms.Proteomes · 2023Review
- Early Solid Diet Supplementation Influences the Proteomics of Rumen Epithelium in Goat Kids.Biology · 2023Article
- Advancements in Oncoproteomics Technologies: Treading toward Translation into Clinical Practice.Proteomes · 2023Review
- Impact of CHIKV Replication on the Global Proteome ofProteomes · 2022Article
- Selenium Nanoparticles (SeNPs) Immunomodulation Is More Than Redox Improvement: Serum Proteomics and Transcriptomic Analyses.Antioxidants (Basel, Switzerland) · 2022Article
- Unraveling virus-induced cellular signaling cascades by label-free quantitative phosphoproteomics.STAR protocols · 2022Article
- Proteomic cellular signatures of kinase inhibitor-induced cardiotoxicity.Scientific data · 2022Article
- Proteomic Investigation Reveals Eukaryotic Translation Initiation Factor 5A Involvement in Porcine Reproductive and Respiratory Syndrome Virus InfectionFrontiers in veterinary science · 2022Article
- Clinical identification of expressed proteins in adrenal medullary hyperplasia detected with hypertension.Frontiers in endocrinology · 2022Article
- The Interleukin-1 (IL-1) Superfamily Cytokines and Their Single Nucleotide Polymorphisms (SNPs).Journal of immunology research · 2022Review
- The Two Weapons against Bacterial Biofilms: Detection and Treatment.Antibiotics (Basel, Switzerland) · 2021Review
- A recombinant bovine adenoviral mucosal vaccine expressing mycobacterial antigen-85B generates robust protection against tuberculosis in mice.Cell reports. Medicine · 2021Article
- Transcriptomic and proteomic profiling revealed reprogramming of carbon metabolism in acetate-grown human pathogen Candida glabrata.Journal of biomedical science · 2021Article
- Chemotaxis and Shorter O-Antigen Chain Length Contribute to the Strong Desiccation Tolerance of a Food-IsolatedFrontiers in microbiology · 2021Article
- Identification of Novel Biomarkers for Pre-diabetic Diagnosis Using a Combinational Approach.Frontiers in endocrinology · 2021Article
- Proteomic Analysis of Exosomes for Discovery of Protein Biomarkers for Prostate and Bladder Cancer.Cancers · 2020Review
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Both isobaric tags for relative and absolute quantitation (iTRAQ) and label-free methods are widely used for quantitative proteomics. Here, we provide a detailed evaluation of these proteomics approaches based on large datasets from biological samples. iTRAQ-label-based and label-free quantitations were compared using protein lysate samples from noninfected human lung epithelial A549 cells and from cells infected for 24 h with human adenovirus type 3 or type 5. Either iTRAQ-label-based or label-free methods were used, and the resulting samples were analyzed by liquid chromatography (LC) and tandem mass spectrometry (MS/MS). To reduce a possible bias from quantitation software, we applied several software packages for each procedure. ProteinPilot and Scaffold Q+ software were used for iTRAQ-labeled samples, while Progenesis LC-MS and ProgenesisF-T2PQ/T3PQ were employed for label-free analyses. R (2) correlation coefficients correlated well between two software packages applied to the same datasets with values between 0.48 and 0.78 for iTRAQ-label-based quantitations and 0.5 and 0.86 for label-free quantitations. Analyses of label-free samples showed higher levels of protein up- or downregulation in comparison to iTRAQ-labeled samples. The concentration differences were further evaluated by Western blotting for four downregulated proteins. These data suggested that the label-free method was more accurate than the iTRAQ method.
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