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Quantitative proteomics

Quantitative proteomics is a science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Quantitative proteomics rather than just read about it. In short: Quantitative proteomics is an analytical chemistry technique for determining the amount of various proteins, including cofactors, in a sample. The methods for protein identification and separation are identical to those used in general qualitative proteomics, but include quantification as an additional dimension.

Quantitative proteomics — main illustration
Quantitative proteomics — illustration

Key takeaways

  • Quantitative proteomics belongs to science; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Quantitative proteomics to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Quantitative proteomics from memory before moving on to harder problems.

Reference excerpt

Quantitative proteomics is an analytical chemistry technique for determining the amount of various proteins, including cofactors, in a sample. The methods for protein identification and separation are identical to those used in general qualitative proteomics, but include quantification as an additional dimension. Rather than just providing lists of proteins identified in a certain sample, quantitative proteomics yields information about the physiological differences between two biological samples. For example, this approach can be used to compare samples from healthy and diseased patients. Quantitative proteomics is mainly performed by two-dimensional gel electrophoresis (2-DE), preparative native PAGE, or mass spectrometry (MS). However, a recent developed method of quantitative dot blot (QDB) analysis is able to measure both the absolute and relative quantity of individual proteins in the sample in high throughput format, thus, open a new direction for proteomic research. In contrast to 2-DE, which requires MS for the downstream protein identification, MS technology can identify and quantify the structural changes and physiological functions.

Quantification using spectrophotometry The concentration of a certain protein in a sample may be determined using spectrophotometric procedures. The concentration of a protein can be determined by measuring the OD at 280 nm on a spectrophotometer, which can be used with a standard curve assay to quantify the presence of tryptophan, tyrosine, and phenylalanine. However, this method is not the most accurate because the composition of proteins can vary greatly and this method would not be able to quantify proteins that do not contain the aforementioned amino acids. This method is also inaccurate due to the possibility of nucleic acid contamination. Other more accurate spectrophotometric procedures for protein quantification include the Biuret, Lowry, BCA, and Bradford methods. An alternative method for label free protein quantification in clear liquid is cuvette-based SPR technique, that simultaneously measures the refractive index ranging 1.0 to 1.6 nD and concentration of the protein ranging from 0.5 μL to 2 mL in volume. This system consists of the calibrated optical filter with very high angular resolution and the interaction of light with this crystal forms a resonance at a wavelength which correlates to concentration and refractive index near the crystal.

Quantification using two dimensional electrophoresis Two-dimensional gel electrophoresis (2-DE) represents one of the main technologies for quantitative proteomics with advantages and disadvantages. 2-DE provides information about the protein quantity, charge, and mass of the intact protein. It has limitations for the analysis of proteins larger than 150 kDa or smaller than 5kDa and low solubility proteins. Quantitative MS has higher sensitivity but does not provide information about the intact protein. Classical 2-DE based on post-electrophoretic dye staining has limitations: at least three technical replicates are required to verify the reproducibility. Difference gel electrophoresis (DIGE) uses fluorescence-based labeling of the proteins prior to separation has increased the precision of quantification as well as the sensitivity in the protein detection. Therefore, DIGE represents the current main approach for the 2-DE based study of proteomes.

Quantification using mass spectrometry

Mass spectrometry (MS) represents one of the main technologies for quantitative proteomics with advantages and disadvantages. Quantitative MS has higher sensitivity but can provide only limited information about the intact protein. Quantitative MS has been used for both discovery and targeted proteomic analysis to understand global proteomic dynamics in populations of cells (bulk analysis) or in individual cells (single-cell analysis). Early approaches developed in the 1990s applied isotope-coded affinity tags (ICAT), which uses two reagents with heavy and light isotopes, respectively, and a biotin affinity tag to modify cysteine containing peptides. This technology has been used to label whole Saccharomyces cerevisiae cells, and, in conjunction with mass spectrometry, helped lay the foundation of quantitative proteomics. This approach has been superseded by isobaric mass tags, which are also used for single-cell protein analysis.

Relative and absolute quantification Mass spectrometry is not inherently quantitative because of differences in the ionization efficiency and/or detectability of the many peptides in a given sample, which has sparked the development of methods to determine relative and absolute abundance of proteins in samples. The intensity of a peak in a mass spectrum is not a good indicator of the amount of the analyte in the sample, although differences in peak intensity of the same analyte between multiple samples accurately reflect relative differences in its abundance.

Stable isotope labeling in mass spectrometry

… excerpt ends here. Continue reading the full article.

Illustrations

Quantitative proteomics: Quantitative mass spectrometry.
Quantitative mass spectrometry.
Quantitative proteomics: Examples of quantitative proteomic workflows. Red represents physiological sample of interest, while blue represents control sample. White boxes represent areas where errors are most likely to occur, and purple boxes represent where the samples have been mixed.[9]
Examples of quantitative proteomic workflows. Red represents physiological sample of interest, while blue represents control sample. White boxes represent areas where errors are most likely to occur, and purple boxes represent where the samples have been mixed.[9]
Quantitative proteomics: Work flow of the Quantification of the physiological differences in α and β cells in mice using computer prediction (A) and SILAC isotope-label quantification (B). (C) is the candidate list of kinases that indicate physiological differences in α and β cells.[22]
Work flow of the Quantification of the physiological differences in α and β cells in mice using computer prediction (A) and SILAC isotope-label quantification (B). (C) is the candidate list of kinases that indicate physiological differences in α and β cells.[22]

Worked examples

Example 1 — a first encounter with Quantitative proteomics

Start with the simplest possible case. Write down what Quantitative proteomics claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Quantitative proteomics before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Quantitative proteomics ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Quantitative proteomics

In research
Quantitative proteomics appears in science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Quantitative proteomics in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Quantitative proteomics is common in secondary-school and first-year university syllabi. It links to neighbouring topics Mass spectrometry, Proteomics, so understanding it makes those chapters shorter.
In everyday life
Look for Quantitative proteomics outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Quantitative proteomics in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Quantitative proteomics means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Quantitative proteomics out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Quantitative proteomics in simple terms?

Quantitative proteomics is an analytical chemistry technique for determining the amount of various proteins, including cofactors, in a sample. The methods for protein identification and separation are identical to those used in general qualitative proteomics, but include quantification as an additi…

Why does Quantitative proteomics matter?

Because it connects several science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Quantitative proteomics?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Quantitative proteomics.

Tags

  • Mass spectrometry
  • Proteomics

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