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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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Related Experiment Video

Updated: Jul 13, 2025

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

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

Published on: April 21, 2022

SingPro: a knowledge base providing single-cell proteomic data.

Xichen Lian^1,2,3, Yintao Zhang¹, Ying Zhou^1,4

¹College of Pharmaceutical Sciences, The Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou 310058, China.

Nucleic Acids Research

|October 11, 2023

Summary

This summary is machine-generated.

A new database, SingPro, offers raw data and experimental details for single-cell proteomics (SCP) studies. This resource supports research into cellular heterogeneity and protein expression profiles.

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Area of Science:

Biochemistry
Proteomics
Bioinformatics

Background:

Single-cell proteomics (SCP) reveals cellular heterogeneity masked in bulk analyses.
AI advancements necessitate integrated data repositories for SCP.
Existing resources lack comprehensive SCP raw data and experimental details.

Purpose of the Study:

To develop a specialized database for single-cell proteomics data.
To provide a centralized repository for SCP raw data and experimental metadata.
To facilitate research in cellular heterogeneity and omics-based biomedical studies.

Main Methods:

Systematic curation of single-cell proteomics raw data.
Inclusion of mass spectrometry and flow cytometry-based SCP studies.
Detailed annotation of experimental procedures and protein expression profiles.

Main Results:

Development and launch of the SingPro database.
SingPro provides comprehensive SCP raw data and experimental details.
The database supports both mass spectrometry and flow cytometry approaches.

Conclusions:

SingPro addresses the need for a dedicated SCP data repository.
The database is a valuable resource for omics-based biomedical research.
SingPro is freely accessible to the research community.