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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.
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Signaling cascades usually lack linearity. Multiple pathways interact and regulate one another, allowing cells to integrate and respond to diverse environmental stimuli.
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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.
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The physiological function of a cell and cellular communication are outcomes of a range of extrinsic signals, intracellular signaling pathways, and cellular responses. No two cell types express the same repertoire of signaling components. Receptors are highly selective for their cognate ligands, but once activated, they can alter multiple cellular processes such as DNA transcription, protein synthesis, and metabolic activity. 
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Related Experiment Video

Updated: Mar 17, 2026

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
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Proteomics approaches to decipher new signaling pathways.

Anne-Claude Gingras1, Cassandra Jj Wong1

  • 1Lunenfeld-Tanenbaum Research Institute, Toronto, Canada; Dept. of Molecular Genetics, University of Toronto, Canada.

Current Opinion in Structural Biology
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Summary

Understanding cellular signaling requires analyzing phosphopeptides, the products of phosphorylation. This study discusses experimental design for identifying signaling crosstalks and feedback loops using mass spectrometry.

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Area of Science:

  • Cellular biology
  • Biochemistry
  • Systems biology

Background:

  • Cellular signaling networks are complex, featuring pathway crosstalks and regulatory loops.
  • Phosphorylation is a key post-translational modification regulating these networks.
  • Phosphopeptides, the products of phosphorylation, are crucial biomarkers.

Purpose of the Study:

  • To outline experimental design considerations for studying cellular signaling.
  • To facilitate the identification of direct and indirect phosphorylation events.
  • To elucidate crosstalks and feedback loops within signaling networks.

Main Methods:

  • Systematic identification and quantification of phosphopeptides using mass spectrometry.
  • Leveraging recent advances in mass spectrometry speed and sensitivity.
  • Implementing improved sample preparation and data analysis techniques.

Main Results:

  • Enabling the acquisition of large-scale phosphopeptide datasets.
  • Providing a framework for dissecting complex signaling pathways.
  • Facilitating the discovery of novel signaling mechanisms.

Conclusions:

  • Careful experimental design is essential for unraveling complex cellular signaling.
  • Mass spectrometry-based phosphoproteomics offers powerful insights into signaling dynamics.
  • This approach aids in understanding pathway crosstalks and regulatory feedback.