Label-based Protein Quantification Technology—iTRAQ, TMT, SILAC
Introduction to Label-based Proteomics
Quantitative proteomics is revolutionizing biological research by measuring protein expression levels to uncover insights into disease mechanisms, drug responses, and cellular processes. Unlike label-free methods, label-based proteomics uses isotopic or isobaric tags to achieve precise protein quantification across complex samples. Three leading technologies—iTRAQ, TMT, and SILAC—dominate this field, each offering unique strengths for applications like biomarker discovery and post-translational modification (PTM) analysis. MetwareBio leverages these advanced methods to deliver high-throughput, accurate proteomics solutions for researchers and industries worldwide.
What is iTRAQ and How Does It Work?
iTRAQ (Isobaric Tags for Relative and Absolute Quantitation) is a powerful label-based proteomics technique. Proteins are digested into peptides using enzymes like trypsin, then labeled with isobaric tags (4- or 8-plex) that have identical masses but distinct reporter ions. These peptides are analyzed via liquid chromatography-mass spectrometry (LC-MS/MS), where reporter ions in MS2 spectra quantify relative protein abundance. iTRAQ excels in analyzing complex samples, such as tissues or plasma, due to its high sensitivity and robust peptide coverage. However, it can suffer from ratio compression due to co-isolation of peptides, and the reagents are costly, limiting scalability for some studies.
The advantages of iTRAQ
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iTRAQ can simultaneously mark 4 to 8 samples in one experiment. The operation is simple and fast. It is suitable for high-throughput detection of multiple samples, and the experiment design is more flexible.
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iTRAQ is an in vitro labeling performed at the peptide level and is suitable for many types of biological samples.
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iTRAQ has the characteristics of good repeatability and high sensitivity, and qualitative and quantitative can be performed simultaneously.
Understanding TMT: Advanced Multiplexing for Proteomics
TMT (Tandem Mass Tags) is an advanced isobaric labeling method, similar to iTRAQ but with greater multiplexing capacity, supporting up to 18 samples (TMTpro). After protein digestion, peptides are labeled with TMT tags, pooled, and analyzed using high-resolution mass spectrometry. The tags’ reporter ions enable precise quantification in MS2 spectra. TMT’s high multiplexing makes it ideal for large-scale studies, such as comparing multiple disease states or time points. Its compatibility with modern LC-MS platforms enhances throughput, but signal interference and the need for sophisticated bioinformatics tools, like Proteome Discoverer, can pose challenges.
The advantages of TMT
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High sensitivity: low abundance protein can be detected.
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Strong separation ability: can separate acid / alkaline protein, protein less than 10KD or greater than 200KD, insoluble protein, etc.
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Wide scope of application: any type of protein can be identified, including membrane proteins, nuclear proteins, and extracellular proteins.
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High throughput: 10 samples can be analyzed at the same time, especially suitable for differential protein analysis of samples with multiple processing methods or from multiple processing times.
SILAC: Metabolic Labeling for High Accuracy
SILAC (Stable Isotope Labeling by Amino Acids in Cell Culture) is a metabolic labeling technique that incorporates heavy isotopes (e.g., 13C-lysine, 15N-arginine) into proteins during cell growth. After culturing cells in heavy and light media, proteins are digested, and peptides are analyzed via LC-MS/MS. The mass differences between heavy and light peptides enable highly accurate quantification without chemical artifacts. SILAC is ideal for studying protein dynamics in cell culture models, such as signaling pathways. However, its application is limited to cell lines, and the high cost of isotopic reagents can be a barrier.
The advantages of SILAC
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SILAC is a living cell-level labeling technology. The labeling effect is stable and efficient, and its labeling efficiency is not affected by lysate.
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SILAC requires less samples, usually only a few dozen micrograms of protein per sample is sufficient.
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SILAC uses mass spectrometry to identify and quantify multiple proteins simultaneously.
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SILAC uses in vivo labeling technology, which is close to the true state of the sample.
Comparing iTRAQ, TMT, and SILAC: Which is Right for You?
Choosing the right label-based proteomics method depends on your research goals. Below is a comparison:
Method | Multiplexing | Sample Type | Accuracy | Cost |
iTRAQ | 4–8 samples | Tissues, biofluids | Moderate (ratio compression) | High |
TMT | Up to 18 samples | Tissues, biofluids | High | High |
SILAC | 2–3 samples | Cell cultures | Very high | Very high |
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iTRAQ: Best for small-scale studies of complex samples, like tumor biopsies.
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TMT: Suited for large-scale, multi-sample comparisons, such as clinical cohorts.
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SILAC: Ideal for cell-based studies requiring precise protein quantification, like dynamic pathway analysis.
Consider sample type, budget, and bioinformatics capabilities. MetwareBio offers tailored solutions to optimize your choice.
Applications in Research and Industry
Label-based proteomics drives innovation across fields:
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Cancer Research: TMT studies identify biomarkers in breast cancer proteomes, guiding targeted therapies.
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Neuroscience: SILAC reveals protein dynamics in Alzheimer’s signaling pathways.
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Drug Development: iTRAQ maps protein interactions to validate drug targets.
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Metabolic Disorders: TMT quantifies protein changes in diabetes models, aiding therapeutic discovery.
MetwareBio supports these applications with customized workflows, delivering actionable insights for academia and biotech.
Overcoming Challenges in Label-based Proteomics
Label-based methods face challenges:
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Ratio Compression: iTRAQ and TMT suffer from co-isolation interference, skewing quantification.
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Sample Limitations: SILAC is restricted to cell cultures, unsuitable for tissues.
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Data Complexity: All methods require advanced bioinformatics (e.g., PEAKS, MaxQuant) for accurate analysis.
Solutions include high-resolution MS (e.g., Orbitrap), optimized sample preparation, and robust software. MetwareBio addresses these with cutting-edge platforms and expert bioinformatics support.
Why Choose MetwareBio for Label-based Proteomics?
MetwareBio offers state-of-the-art proteomics services, utilizing advanced mass spectrometry platforms like Orbitrap and Q Exactive MS for iTRAQ, TMT, and SILAC analysis. Our skilled bioinformatics team ensures precise data interpretation, from peptide identification to PTM mapping. Whether you’re studying biomarkers or protein dynamics, MetwareBio delivers customized solutions for diverse samples. Ready to advance your research? Contact MetwareBio today for tailored proteomics services.
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