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Related Concept Videos

Proteomics01:33

Proteomics

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A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term...
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Peptide Identification Using Tandem Mass Spectrometry01:33

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Tandem mass spectrometry, also known as MS/MS or MS2, is an analytical technique that employs two mass analyzers. Essentially it is a series of mass spectrometers that helps isolate a particular biomolecule and then helps study its chemical properties.
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MALDI-TOF Mass Spectrometry01:19

MALDI-TOF Mass Spectrometry

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Mass spectrometry is a powerful characterization technique that can identify and separate a wide variety of compounds ranging from chemical to biological entities, based on their mass-to-charge ratio (m/z). The instruments that allow this detection, known as mass spectrometers, have three components: an ion source, a mass analyzer, and a detector. These spectrometers differ based on the nature of their ion source and analyzers.
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Related Experiment Video

Updated: Sep 10, 2025

Single-Cell Proteomics Preparation for Mass Spectrometry Analysis Using Freeze-Heat Lysis and an Isobaric Carrier
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Single-Cell Proteomics Preparation for Mass Spectrometry Analysis Using Freeze-Heat Lysis and an Isobaric Carrier

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Single-cell proteomics using mass spectrometry.

Amanda Momenzadeh1, Jesse G Meyer1

  • 1Department of Computational Biomedicine, Smidt Heart Institute, Board of Governors Innovation Center, Advanced Clinical Biosystems Research Institute, Cedars Sinai Medical Center, Los Angeles, CA 90048, USA.

Cell Genomics
|August 21, 2025
PubMed
Summary
This summary is machine-generated.

Recent advances in mass-spectrometry-based single-cell proteomics (SCP) enhance sensitivity and throughput. Integrated analytical and computational strategies now enable deeper, broader single-cell proteome coverage.

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Area of Science:

  • Proteomics
  • Biotechnology
  • Computational Biology

Background:

  • Single-cell proteomics (SCP) is rapidly advancing.
  • Improvements in sample preparation, multiplexing, and hardware have increased sensitivity and throughput.
  • Computational tools are crucial for handling missing data and standardizing analyses.

Purpose of the Study:

  • To summarize recent technological and software advancements in SCP.
  • To highlight the integration of analytical, computational, and experimental strategies.
  • To discuss the future of single-cell proteome coverage.

Main Methods:

  • Review of microfluidic and robotic sample preparation techniques.
  • Analysis of MS1- and MS2-based multiplexing strategies.
  • Evaluation of specialized hardware (e.g., timsTOF Ultra 2, Astral).
  • Assessment of computational workflows for normalization, imputation, and no-code platforms.

Main Results:

  • Significant boosts in sensitivity, throughput, and proteome coverage from picogram-level protein inputs.
  • Effective addressing of missing data challenges through tailored computational workflows.
  • Standardized and reproducible profiling of cellular heterogeneity.
  • Enhanced proteome coverage from single cells.

Conclusions:

  • The integration of analytical, computational, and experimental strategies is key to advancing SCP.
  • Future developments will enable deeper and broader coverage of single-cell proteomes.
  • High-throughput and reproducible single-cell proteome profiling is becoming increasingly feasible.