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New method enables efficient sample preparation for single-cell proteomics

Scientists develop a novel single-cell proteomics technique based on water droplet-in-oil digestion to enable efficient protein recovery.

HPLC glass vials in the auto sample. Clinical analysis of vaccines or pharmaceuticals.

Single-cell proteomics is an analytical technique in which a single-cell analysis is performed to observe the characteristics of individual cells at their protein level. Over the years, scientists have used single-cell proteomics in the fields of cancer genomics, cell differentiation, and tissue development. However, current proteomics techniques suffer from low recovery rate of protein samples, low throughput, and lack of versatility.

To find a solution to these problems, a team of researchers from Japan and US introduced a simple yet highly efficient sample preparation method for single-cell proteomics called “water droplet-in-oil method” (WinO). The technique uses the immiscibility of water with oil/organic solvent to its advantage to prepare protein samples with minimum loss and increased chances of sample recovery. The study was published in Analytical Chemistry.

“To make single cell-proteomics more efficient, we either need to amplify the protein sample or make sure none of it is lost during sample preparation. Since we did not have the means to do the former, it was crucial that we reduced absorption losses during sample preparation steps like sample transfer,” explained Assistant Professor Takeshi Masuda from Kumamoto University, Japan. “The WinO technique not only reduces sample loss through adsorption but also provides better throughput when compared with conventional methods.”

For the WinO process, the team first prepared an extraction buffer by mixing one microlitre of water with phase transfer surfactants (which increase the solubility of hydrophobic proteins) and hydrophobic carboxyl-coated nanomagnetic beads. This mixture was then dropped into 50 microlitres of ethyl acetate.

The next step was protein extraction, which was performed by adding cell droplets from the cell sorter to the ethyl acetate-water droplet combo and spinning it in a centrifuge to allow the protein to accumulate within the water droplet. After the extraction, the sample was digested using a protein enzyme, Lys-C, and labelled using a “tandem mass tag” reagent. The extracted-digested-labelled sample was then purified and recovered for single-cell analysis and proteomic profiles.

Efficient Sample Preparation for Single-cell Proteomics with Water Droplet-in-Oil Digestion (IMAGE)

In a new study, researchers from Japan and US propose a new sample pre-treatment method for single-cell proteomics based on water droplet-in-oil digestion, with 10-fold increase in protein and peptide recovery
[Credit: Takeshi Masuda from Kumamoto University].

To compare the efficacy of the WinO method against conventional methods, the team also prepared samples using the standard in-solution digestion (ISD) method and carried out proteomic analysis. They found that the WinO method led to a 10-fold increase in protein and peptide recovery compared to ISD. This remarkable improvement was attributed to a reduced contact area between the extraction solution and the sample container.

To analyse the sensitivity of both methods, the team also compared the obtained proteomic profiles. They observed a high correlation between proteomic profiles obtained for 100 cells using WinO and that for 10,000 cells using ISD. Furthermore, the team successfully quantified 462 proteins using WinO, demonstrating that it provided a much higher throughput and extraction efficiency than conventional techniques.

The enhanced protein recovery and identification ability provided by WinO could enable a closer look at the protein expression of cancer cells and a better understanding of the mechanisms underlying anticancer drug resistance. Further, WinO can be semi-automated using a liquid handling robot, making it suitable for high-speed, large-capacity processing of samples.

“Our research could allow scientists to perform proteomics on rare and limited sample amounts as well as provide a novel perspective on protein expression, opening up possibilities for discovering new biological phenomena,” concluded Masuda.

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