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Related Concept Videos

Proteomics01:33

Proteomics

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 proteomics...

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Related Experiment Video

Updated: May 29, 2026

Microprobe Capillary Electrophoresis Mass Spectrometry for Single-cell Metabolomics in Live Frog (Xenopus laevis) Embryos
12:16

Microprobe Capillary Electrophoresis Mass Spectrometry for Single-cell Metabolomics in Live Frog (Xenopus laevis) Embryos

Published on: December 22, 2017

Automated Microvolume Secretome Proteomics Enables Sensitive and Deep Profiling and Noninvasive Single-Embryo

Jingsheng Xie1,2, Jiwei Wang1,2, Yuhe Ge2

  • 1The Reproductive Medicine Center, The Second Affiliated Hospital of Soochow University, Suzhou 215004, China.

Journal of Proteome Research
|May 27, 2026
PubMed
Summary
This summary is machine-generated.

Researchers developed an automated microvolume secretome profiling workflow for deep proteome analysis from minimal samples. This method enables high-throughput, time-resolved secretome profiling, even from single embryos.

Keywords:
automationnon-invasive biopsyproteomicssecretomesingle-embryo

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Cell-Lineage Guided Mass Spectrometry Proteomics in the Developing (Frog) Embryo

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Area of Science:

  • Proteomics
  • Cell Biology
  • Biotechnology

Background:

  • The secretome offers a dynamic readout of cellular states but conventional proteomics requires large volumes and is low-throughput.
  • Limitations include large sample volume requirements (>2 mL), limited proteome depth, and low processing capacity (<30 samples/day).

Purpose of the Study:

  • To develop an automated microvolume secretome profiling workflow for high-depth analysis from ultralow-input samples.
  • To enhance sample processing throughput and enable time-resolved secretome analysis.

Main Methods:

  • Developed an automated workflow integrating optimized sample pretreatment and magnetic bead-based proteome preparation.
  • Utilized microvolume (<20 μL) conditioned medium for secretome profiling.
  • Applied liquid chromatography-mass spectrometry (LC-MS) for deep proteome coverage.

Main Results:

  • Achieved deep proteome coverage (>3000 proteins) from <20 μL of sample.
  • Enabled high sample processing throughput (>96 samples/day).
  • Successfully profiled secretome from single mouse embryos, identifying >200 proteins per embryo and tracking temporal changes.

Conclusions:

  • Established a robust and scalable framework for high-depth secretome profiling from ultralow-input samples.
  • Broadened the scope of LC-MS-based analysis to microscale and longitudinal biological applications.
  • Demonstrated potential for noninvasive, single-embryo secretome profiling.