Table 1.
Major contributions of proteomics in melanoma.
| Author | Year | Proteomics technique used | Major finding |
|---|---|---|---|
| Chen et al. [13] | 2011 | 2 D gel electrophoresis and matrix-assisted laser desorption ionization-time-of-flight/time-of-flight (MALDI/TOF) | Hypoxia-inducible promoter - adhE promoter was screened from the anaerobically regulated proteins of Salmonella |
| Xiao et al. [14] | 2012 | Differential proteomics using 2-D DIGE (two-dimensional difference in gel electrophoresis) followed my mass spectrometry | Identified exosomal proteins that were differentially expressed in metastatic melanoma compared to melanocytes |
| Hashimoto et al. [15] | 2012 | Sucrose density gradient ultracentrifugation of Triton X-100 extracts or enzyme-mediated activation of radical sources (EMARS) reaction followed by mass spectrometry | EMARS reaction could be used to identify ganglioside-interacting membrane proteins |
| Hughes et al. [16] | 2012 | SILAC MS-based proteomics screen | Analysis of extracellular matrix revealed over 80 extracellular proteins that stimulated pluripotent stem cells |
| Ye et al. [17] | 2013 | Quantitative shotgun proteomics | Differential (18)O/(16)O stable isotopic labeling was used to identify hypoxia-induced protein markers in malignant melanoma |
| Steunou et al. [18] | 2013 | Affinity purification followed by mass spectrometry and label-free quantification | Identified proteins interacting with hypoxia-inducible factor 2α (HIF2α) that contributed to melanoma progression |
| Paulitschke et al. [19] | 2013 | Mass spectrometry-based proteome profiling of cisplatinresistant vs. sensitive cells | Lysosomal, survival and cell adherence related proteins of cisplatin resistant cells were higher compared to sensitive cells. |
| Myers et al. [20] | 2013 | Targeted mass spectrometry based on an SRM peptide quantification method | novel biomarker predictor for preeclampsia identified |
| Li et al. [21] | 2013 | Comparative proteomic analysis using Two-dimensional gel electrophoresis | Proteins associated with mitochondrial dysfunction and apoptosis were differentially expressed in A375 melanoma cells treated with sinulariolide. |
| James et al. [22] | 2013 | Phosphoproteomics and mass spectrometry | Protein kinase N1 forms complex with WNT3A receptor and block Wnt/β-catenin signaling |
| Byrum et al. [5] | 2013 | Comparative proteomics analysis using nanoflow LC-MS/MS | Analysis of 61 FFPE human tissues including benign nevi, primary melanoma, and metastatic melanoma identified 171 significantly varying proteins associated with proliferation, motility, and apoptosis. |
| Tang et al. [23] | 2014 | Proteomic profiling performed by MS/MS | Anti-cancer effect of Phylllanthus is due to inhibition of MAPK/ERK, hypoxia, Myc/Max and NFκB pathways |
| Xiao et al. [24] | 2014 | multiple-reaction monitoring (MRM) used to profile kinase expression in melanoma cell lines | Cancer progression is associated with major kinome reprogramming |
| Kotobuki et al. [25] | 2014 | Isobaric tags for relative and absolute quantitation (iTRAQ) | Over-expression of extracellular matrix protein, periostin (POSTN), in metastatic melanoma compared to normal skin |
| Qendro et al. [26] | 2014 | Tandem mass spectrometry | Identification of nestin and vimentin as potential biomarkers |
| Smit et al. [27] | 2014 | (phospho)proteomic | ROCK1 inhibitor sensitizes melanoma cells to BRAF inhibitors |
| Liu et al. [28] | 2014 | 2-DE based comparative proteomics | Gallic acid induced apoptosis is coupled with glycolysis in B16F10 |
| Strickler et al. [29] | 2014 | Tandem mass spectrometry | Identified proteins associated with pathogenesis, for potential diagnostic purpose |
| Kraya et al. [30] | 2015 | Comparative quantitative proteomics using secretome of 3 D cell culture | Candidate autophagy biomarkers were identified |
| Welinder et al. [31] | 2015 | Deep mining proteomics | A metastatic melanoma protein sequence database was built having 5000 unique proteins that can be potential biomarkers |
| Yu et al. [32] | 2015 | Targeted quantitative proteomics (Selected reaction monitoring) | Identified novel endogenous substrates of Human Kallikrein 7 (serine protease) |
| Raaijmakers et al. [33] | 2015 | Comparative quantitative proteomics on cell lines derived from patients | PhosphoPath – an app designed for visualization and analysis of phosphoproteome data |
| Hao et al. [34] (34) | 2015 | S in vivo/vitro labelling analysis for dynamic proteomics (SiLAD) | Proliferation inhibited by miR-137 in melanoma cells by reduced p21- activated kinase 2 (PAK2) expression rate |
| Makowski et al. [35] | 2016 | Proteome-wide survey of transcription factors | ELF1 binds to somatic mutations of oncogenic TERT promoter |
| Sengupta et al. [36] | 2016 | Label-free precursor ion intensity approach for bottom-up analysis of histone PTMs | EZH2 promotes H3K27me3-mediated silencing of RUNX3 and E-cadherin tumor suppressors in melanoma |