Surfactant-assisted one-pot sample preparation for label-free single-cell proteomics. Academic Article uri icon

Overview

abstract

  • Large numbers of cells are generally required for quantitative global proteome profiling due to surface adsorption losses associated with sample processing. Such bulk measurement obscures important cell-to-cell variability (cell heterogeneity) and makes proteomic profiling impossible for rare cell populations (e.g., circulating tumor cells (CTCs)). Here we report a surfactant-assisted one-pot sample preparation coupled with mass spectrometry (MS) method termed SOP-MS for label-free global single-cell proteomics. SOP-MS capitalizes on the combination of a MS-compatible nonionic surfactant, n-Dodecyl-β-D-maltoside, and hydrophobic surface-based low-bind tubes or multi-well plates for 'all-in-one' one-pot sample preparation. This 'all-in-one' method including elimination of all sample transfer steps maximally reduces surface adsorption losses for effective processing of single cells, thus improving detection sensitivity for single-cell proteomics. This method allows convenient label-free quantification of hundreds of proteins from single human cells and ~1200 proteins from small tissue sections (close to ~20 cells). When applied to a patient CTC-derived xenograft (PCDX) model at the single-cell resolution, SOP-MS can reveal distinct protein signatures between primary tumor cells and early metastatic lung cells, which are related to the selection pressure of anti-tumor immunity during breast cancer metastasis. The approach paves the way for routine, precise, quantitative single-cell proteomics.

publication date

  • March 1, 2021

Research

keywords

  • Breast Neoplasms
  • Glucosides
  • Lung Neoplasms
  • Neoplasm Proteins
  • Neoplastic Cells, Circulating
  • Proteome
  • Proteomics
  • Single-Cell Analysis
  • Surface-Active Agents

Identity

PubMed Central ID

  • PMC7921383

Scopus Document Identifier

  • 85102225901

Digital Object Identifier (DOI)

  • 10.1038/s42003-021-01797-9

PubMed ID

  • 33649493

Additional Document Info

volume

  • 4

issue

  • 1