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An Automated Nanowell-Array Workflow for Quantitative Multiplexed Single-Cell Proteomics Sample Preparation at High

Claudia Ctortecka1, David Hartlmayr2, Anjali Seth3

  • 1Research Institute of Molecular Pathology (IMP), Vienna BioCenter (VBC), Vienna, Austria; Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.

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Summary
This summary is machine-generated.

The proteoCHIP streamlines single-cell proteomics sample preparation, enabling high-throughput, multiplexed analysis. This automated workflow enhances sensitivity and protein identification, facilitating biological discovery in single-cell studies.

Keywords:
automated sample preparationhigh field asymmetric waveform ion mobility spectrometryisobaric peptide labelingproteoCHIPsingle-cell proteomics

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Area of Science:

  • Proteomics
  • Cell Biology
  • Analytical Chemistry

Background:

  • Single-cell resolution reveals cellular heterogeneity in previously assumed homogenous populations.
  • Advances in mass spectrometry instrumentation contrast with limitations in efficient single-cell sample preparation.

Purpose of the Study:

  • To introduce the proteoCHIP, a universal, automated sample preparation method for multiplexed single-cell proteomics.
  • To enhance sensitivity, throughput, and protein identification in single-cell proteomic analyses.

Main Methods:

  • Automated single-cell isolation and picoliter dispensing using the cellenONE system.
  • Multiplexed labeling up to 16-plex (TMT10-plex) with the proteoCHIP.
  • Mass spectrometry acquisition strategies including wide precursor isolation windows (2 Da).

Main Results:

  • Achieved high sensitivity and throughput for single-cell proteomics with the proteoCHIP.
  • Identified approximately 1500 protein groups per TMT10-plex, with reduced need for carrier proteome.
  • Identified an average of nearly 2000 proteins per TMT10-plex across 170 multiplexed single cells, distinguishing human cell types.

Conclusions:

  • The proteoCHIP offers a versatile, automated, and sensitive solution for single-cell proteomics sample preparation.
  • This workflow integrates efficient sample prep, advanced MS techniques, and data analysis for robust single-cell proteomic studies.
  • The proteoCHIP approach is poised to advance biological applications of single-cell proteomics in research laboratories.