Table 1: Comparison of different proteomics-based techniques
METHOD DESCRIPTION / ADVANTAGES / DISADVANTAGES / SENSITIVITY2D GEL ELECTROPHORESIS/MASS SPECTROMETRY
- Separation of complex proteins via 2D gel electrophoresis based charge and size
- Major protein identification by MS
- Detects about 2000-2500 spots/gel
- Ability to identify unknown proteins
- Detects protein modification (phosphorylation and methylation)
- Used for various biological samples, including tissue, blood and other biological fluids
- Proteins expressed at low abundance may be missed
- Unsuited for diagnostic application
- Limited reproducibility and high rate of false identification
- Limited dynamic
range - semi-quantitative
- Detection sensitivity is in the nanogram range (50 ng/spot for Coomassie Blue; 1 ng/spot for silver stain)
- Using fluorescent 2D-differential gel electrophoresis (2D-DIGE), sensitivity improves by 10 fold (CyDye label)
LIQUID CHROMATOGRAPHY/MASS SPECTROMETRY
- LC to separate proteins in a sample, with sequential LC for improved separation efficiency
- MS to systematically identify the major proteins
- Detects over 1000 proteins/run
- Ability to identify unknown proteins
- improved separation efficiency compared to 2D gel
- Used for various biological samples, including tissue, blood and other biological fluids
- Proteins expressed at low abundance may be missed
- Unsuited for diagnostic application
- Limited reproducibility and high rate of false identification
- Limited dynamic
range - semi-quantitative
- Detection sensitivity is in the nanogram range or ~20 cells
- 1% false positive rate
PROTEIN ARRAY
- Individual protein immobilization on a solid-support (glass or membrane)
- Individual proteins identified by labeled antibodies
- Detects over 1000 proteins/array
- High sensitivity and specificity
- Good quantitation range
- High throughput/density amenable for automation
- Economical and low sample consumption
- Lots of data from single experiment
- Software and hardware tools may be shared with DNA microarray
- Limited protein availability from complex protein production process (expression and purification)
- Limited access to a large number of affinity antibodies for detection.
- Detection sensitivity is in the ng/ml range
REVERSE PHASE PROTEIN ARRAY
- Multiple whole-cell or tissue lysate immobilization on individual spots on a solid support (similar to tissue microarray format)
- Presence of specific proteins are detected by antibody
- Detects < 100 proteins/array
- Highly sensitive detection of proteins
- High throughput, i.e. a large number of samples on one slide
- Minimal sample required
- Reduced number of antibodies needed to detect protein
- Detection sensitivity may be compromised from loss native protein conformation when surface spotted
- Limited sensitivity to detect low abundance proteins
- Specificity may be compromised from non-specific antibody binding (i.e. potential for high background)
- Limited number of available signaling protein-specific antibodies
- Detection sensitivity is in the picogram range
- Increased sensitivity
- Using laser capture microdissection, lysates can be analyzed with as few as 10 cells
ANTIBODY ARRAY
- Capture antibodies are spotted and fixed on a solid surface
- Proteins (antigens) are captured on the array surface and detected by a second antibody specific for a different epitopes than capture antibody (sandwich format)
- Detects < 100 proteins/array
- Highly specific from dual antibody detection
- Highly sensitive
- High throughput and amenable for automation
- Possible to detect protein modifications (phosphorylation, methylation, etc) by modification-specific antibodies
- Suitable for clinical applications
- Protein complexity and denaturation may affect antigen-antibody interaction
- Need for high-affinity and specific antibodies
for capture and detection - Limited dynamic
ranges of 2 or 3 orders of magnitude
- Detection sensitivity is in the low pg/ml range
PATHWAY ARRAY
- Complex proteins in a sample (cells or tissue) are separated via gel electrophoresis
- Proteins then transfers to nitrocellular membrane
- Proteins detected by multichannel immunoblot (similar to Western Blot)
- Detects up to 300 proteins/run
- Highly sensitive with detection of low abundance proteins
- Highly specific (as determined by immunoreactivity and size)
- High accuracy and reproducibility
- Minimal antibody required for each sample
- Detects protein modifications (phosphorylation, methylation, etc)
- Limited availability of signaling-related antibodies
- Relative low through- put (one sample per gel
- Limited dynamic
ranges of 2 or 3 orders of magnitude
- Detection limit of 1 ng for each protein with chemiluminescence; 0.1 ng with fluorescence
- Linear detection range is 100 fold for ECL and 1,000 for fluorescence.
BEAD-BASED ARRAY
- Either capture antibody or proteins are coated on beads
- Detection of proteins by labeled antibodies (similar to antibody array or ELISA)
- Detects 50-100 proteins/run
- Highly sensitive and specific
- High throughput and amenable for automation
- Detecst protein modifications (phosphorylation, methylation, etc) by modification specific antibodies
- Suitable for clinical applications
- Protein complexity and denaturation affecting antigen-antibody interaction
- Need for high-affinity and specific antibodies for capture and detection
- Limited dynamic ranges of 2 or 3 orders of magnitude
- Detection limit is sufficient to capture low abundance protein analytes down to the pg/mL range
Supplemental Table 1: Microarray technologies used in genomic and epigenetic analysis:
MICROARRAY / CHARACTERISTIC FEATUREGENE EXPRESSION ARRAY[1] /
- Simultaneous monitoring of expression levels for >45,000 transcripts to study the effects of certain treatments, diseases, and developmental stages on gene expression using high-density arrays
- Does not detect splicing variants as probes are designed to interrogate the 3' end of the transcripts
- Requires as little as 2 ug of starting mRNA for reverse transcription and labeling
ALTERNATIVE SPLICING ARRAY[2] /
- Used to assess the expression of alternative splice forms of thousands of genes
- Exon arrays have a different design that employs probes designed to detect each individual exon for known/predicted genes
- Used to detect different splicing isoforms
- Requires as little as 100 ng of starting mRNA
MICRORNA ARRAY[3] /
- A high-throughput technique to assess cancer-specific expression levels for hundreds of miRNAs in a large sample numbers
- 500 human miRNAs have been recorded in mirbase (
- miRNAs are involved in gene expression regulation.
SNP ARRAY[4] /
- Used to identify single nucleotide polymorphisms among alleles within or between populations
- Evaluates germline mutations in individuals or somatic mutations in cancers, assessing loss of heterozygosity, or genetic linkage analysis
- Can measure more than 900,000 SNPs in the whole genome
COMPARATIVE GENOMIC HYBRIDIZATION ARRAY[5] /
- Used to detect loss, gain and amplification of copy number at the chromosomal level
- Can detect small gains and losses, e.g. Inter-marker distance of ~100-700 base pairs
- Combined with SNP array, can be used for genome wide association studies
CHIP-ON-CHIP ARRAY[6] /
- Combines chromatin immunoprecipitation (chip) with microarray technology ("chip").
- High throughput (genome-wide) identification and analysis of DNA fragments bound by specific proteins such as histones, transcriptional factors.
- Used to investigate interaction between protein and DNA
- Identifies binding sites of DNA-binding proteins in a genome-wide basis.
DNA METHYLATION ARRAY[7] /
- DNA methylation is an abnormal heritable epigenetic modification process occurring in cancer cells whereby cpg dinucleotides are methylated at the C5 position of cytosine
- The methylation of the 5’ regulatory regions of genes results in gene silencing
- Methylated DNA are captured with 5-methlycytidine antibody or methyl binding domain proteins and hybridized to a DNA array which contains 385k to 2.1M probes
Supplemental Table 2: List of antibodies included in the immunoblot array (partial list)
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Cell signaling:ERK1/2, p-ERK1/2 (Thr202/Tyr204), Akt, p-AKT (Ser473), HGF, HGFR, pHGFR (Y1234/Y1235), IGF, IGFR, TGF, TGFR, Notch 4, Notch 1, p38, p-p38 (Thr180/Tyr182), JNK, p-JNK (Thr183/Tyr185), FGFR, p-FGFR (Tyr653/654), VEGFR, p-VEGFR (Tyr951), PKC, p-PKCalpha (Ser657), p-PKCα/β(Thr638/641), PTEN, p-PTEN (Ser380), PI3K, Ras, Raf, EGFR, p-EGFR (Tyr1068), p-EGFR (Tyr1148), p-EGFR (Tyr1173), Her2, p-Her2 (Tyr1221/1222), PDK1, p-PDK1 (Ser241), mTor, p-mTor (Ser2448), HSP90, NF-kB, IKB, c-Kit, c-Kit (Tyr719), PDGFR, GSK3, beta-catenin, p-be,ta-catenin (Ser33/37/Thr41), stat3, p-stat3 (Ser727), stat5, p-stat5 (Tyr694), smad, p-smad (Ser463/465), CREB, p-CREB (Ser133), Frizzled receptor, APC
Cell Growth/Cell Proliferation: Rb, P21, P27, P15, P16, P18, P19, CHK1, CHK2, DP-1, MDM2, BRCA1, BRCA2, GADD45, 14-3-3β
Cell cycle: CDK2, CDK4, CDK6, CDC2p34, CDC25A, CDC25B, CDC25C,Cyclin B, Cyclin D, Cyclin E, Rb
Invasion/metastasis: VEGF, NF-kappaB, IKK, E-cadherin, N-cadherin, HSP90, TGF-beta, osteopontin, KISS1, KAI1, uPA, uPAR, MMP9, ICAM-1, FAK, EphB2, EphB3
Transcription factor: p-c-Jun, ETS1, c-MYC, E2F-1, GATA, Stat1,p-Stat3,p-Stat5,p-Smad1, p-RB, PR, ERa,ERb
Apoptosis/Autophagy: Bax, FAS, BAD, BCL2, BID, BAK, cleaved Caspase 3, cleaved Caspase 8, cleaved Caspase 9, TRAF, p53, XIAP, NFKB, IKB, Bcl-xL, Smac, LC-3I, LC-3II, Cytochrome C, TNF, AKT1, Survivin, RIP
Angionesis: VEGF, VEGFR, E-cadherin, PDGF, PDGFR, TGF-beta, TGF-beta Receptor, TNF alpha, COX-2, FGF, FGFR, EPO,Ang, Endoglin,Neuropilin, MMP9
DNA repair:P53, ATM, Phospho-ATM (Ser1981), ATR, PCNA, BRCA1, Rad52, TDP1, ERCC1, RCA1, BTG2, CCNH, DNMT1, GADD45A, PTTG1, XRCC5
Epithelial-to-mesenchymal transition/Adhesion: E-cadherin, catenin, Ep-CAM, HCAM, ICAM1, VCAM1
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Supplemental Table 3: Effect of Cdk6 and XIAP silencing on cell viability, cell cycle distribution and necrosis
Cell Viability (%) / Cell Cycle Distribution (%) / Necrosis (%)(G0/G1 phase) / (S Phase) / (G2+M Phase)
Negative Control / 100 / 66.37 / 15.9 / 17.76 / 2.14
CDK6 siRNA / 8.26 / 83.81 / 4.6 / 10.89 / 14.46
XIAP siRNA / 14.02 / 71.56 / 6.96 / 11.24 / 31.38
Supplemental Table 4: The expression of signaling transduction proteins in HCCs from 4 patients
A / B / C / D
Akt / 0 / 2651 / 1724 / 1438
BRCA1 / 0 / 1778 / 0 / 0
cdk6 / 652 / 0 / 0 / 0
cPKCα / 13879 / 462 / 269 / 2058
ERK1/2 / 0 / 2308 / 186 / 0
HIF-3α / 0 / 885 / 0 / 0
p27 / 9104 / 702 / 8470 / 9571
XIAP / 0 / 0 / 2036 / 10094
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