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Proteomics01:33

Proteomics

7.5K
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...
7.5K
Protein Dynamics in Living Cells01:19

Protein Dynamics in Living Cells

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Different fluorescence-based techniques are used to study the protein dynamics in living cells. These techniques include FRAP, FRET, and PET.
Fluorescent recovery after photobleaching (FRAP) is a fluorescent-protein-based detection technique used to quantify protein movement rates within the cell. This method exposes a small portion of the cell to an intense laser beam. The laser beam causes permanent photobleaching of the fluorophore-tagged proteins in the exposed region. As the bleached...
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Related Experiment Video

Updated: Jul 28, 2025

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection
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Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection

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Single-Cell Proteomics with Spatial Attributes: Tools and Techniques.

Vartika Lohani1,2, Akhiya A R1,3, Soumen Kundu1,4

  • 1CSIR Institute of Genomics and Integrative Biology, New Delhi, Delhi 110025, India.

ACS Omega
|May 30, 2023
PubMed
Summary
This summary is machine-generated.

Single-cell proteomics (SCP) identifies disease-specific protein signatures, overcoming limitations of bulk analysis. Mass spectrometry-based methods are crucial for this advanced technique in clinical research.

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Area of Science:

  • Proteomics
  • Cellular Biology
  • Biochemistry

Background:

  • Conventional proteomics provides averaged protein expression, masking cell-specific variations crucial for understanding diseases.
  • Diseases like cancer and Alzheimer's require analysis at the single-cell level to identify unique proteomic signatures.
  • Single-cell proteomics (SCP) offers a solution by analyzing protein profiles within individual cells.

Purpose of the Study:

  • To review mass spectrometry-based approaches for single-cell proteomics.
  • To highlight the importance of SCP in clinical research and disease progression studies.
  • To discuss methods for single-cell isolation prior to proteomic analysis.

Main Methods:

  • Single cells are isolated using techniques such as fluorescence-activated cell sorting (FACS), magnetic-activated cell sorting (MACS), laser capture microdissection (LCM), microfluidics, and manual micromanipulation.
  • Mass spectrometry-based proteomics tools are employed for high-resolution and sensitive analysis of single-cell proteomes.
  • The review focuses specifically on mass spectrometry-driven SCP methodologies.

Main Results:

  • SCP enables the identification of proteomic signatures specific to diseased cells, offering insights into disease heterogeneity.
  • Analysis of spatial attributes in SCP aids in understanding the heterogeneous functions of single proteins.
  • Mass spectrometry provides the necessary sensitivity and resolution for effective SCP.

Conclusions:

  • Single-cell proteomics is essential for precise disease characterization and understanding cellular heterogeneity.
  • Mass spectrometry-based techniques are pivotal for advancing the field of SCP.
  • SCP holds significant promise for clinical research, particularly in oncology, neurodegenerative diseases, and diabetes.