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Characterization of effective, simple, and low-cost precipitation methods for depleting abundant plasma proteins to enhance the depth and breadth of plasma proteomics. | LitMetric

AI Article Synopsis

  • - Plasma contains proteins that can be important for detecting and diagnosing diseases, but they are hard to measure due to their low levels and the vast range of protein concentrations present in blood.
  • - This study evaluated different protein precipitation methods to see how they affect the identification and measurement of proteins in plasma, finding that perchloric acid (PerCA) and methanol-based methods were particularly effective.
  • - Results showed that various precipitation methods could improve the number of proteins identified and measured, providing valuable insights for researchers aiming to enhance plasma proteomic studies in a cost-effective way.

Article Abstract

Plasma is an abundant source of proteins and potential biomarkers to aid in the detection, diagnosis, and prognosis of human diseases. These proteins are often present at low levels in the blood and difficult to identify and measure due to the large dynamic range of proteins. The goal of this work was to characterize and compare various protein precipitation methods related to how they affect the depth and breadth of plasma proteomic studies. Abundant protein precipitation with perchloric acid (PerCA) can increase protein identifications and depth of plasma proteomic studies. Three acid- and four solvent-based precipitation methods were evaluated. All methods tested provided excellent plasma proteomic coverage (>600 identified protein groups) and detected protein in the low pg/mL range. Functional enrichment analysis revealed subtle differences within and larger changes between the precipitant groups. Methanol-based precipitation outperformed the other methods based on identifications and reproducibility. The methods' performance was verified using eight lung cancer patient samples, where >700 protein groups were measured and proteins with an estimated plasma concentration of ∼10 pg/mL were detected. Various protein precipitation agents are amenable to extending the depth and breadth of plasma proteomes. These data can guide investigators to implement inexpensive, high-throughput methods for their plasma proteomic workflows.

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Source
http://dx.doi.org/10.1002/pmic.202400071DOI Listing

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