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Related Concept Videos

Proteomics01:33

Proteomics

8.5K
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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Ribosome Profiling02:24

Ribosome Profiling

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Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique...
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Related Experiment Video

Updated: Oct 18, 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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Replication of single-cell proteomics data reveals important computational challenges.

Christophe Vanderaa1, Laurent Gatto1

  • 1Computational Biology and Bioinformatics Unit (CBIO), de Duve Institute, UCLouvain, Belgium.

Expert Review of Proteomics
|October 4, 2021
PubMed
Summary
This summary is machine-generated.

Quantitative single-cell proteomics (SCP) analysis is advancing rapidly. This study introduces standardized software to address challenges like batch correction and missing data, promoting reproducible SCP data analysis.

Keywords:
Mass spectrometryRbatch correctionbioconductorimputationproteomicsreplicationreproducible researchsingle-cellsoftware

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Area of Science:

  • Proteomics
  • Mass Spectrometry
  • Single-Cell Analysis

Background:

  • Quantitative mass spectrometry-based single-cell proteomics (SCP) is an emerging field.
  • Current SCP analysis workflows are often custom-built, hindering reproducibility.
  • There is a need for standardized software for robust SCP data analysis.

Purpose of the Study:

  • To formalize and standardize single-cell proteomics data analysis.
  • To introduce scp, a software tool for reproducible SCP data analysis.
  • To address key challenges in SCP data analysis, including batch correction and data missingness.

Main Methods:

  • Development and application of the scp software.
  • Replication of a landmark single-cell proteomics study using scp.
  • Detailed analysis of batch correction and data missingness in SCP.

Main Results:

  • The scp software successfully replicates a landmark SCP study.
  • The study identifies and details challenges in batch correction and data missingness.
  • The intimate dependence between batch effects and data missingness is highlighted.

Conclusions:

  • Standardized software is crucial for reproducible single-cell proteomics data analysis.
  • The scp software provides a foundation for principled SCP data analysis.
  • Addressing batch effects and data missingness is essential for advancing SCP.