Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Proteomics01:33

Proteomics

9.2K
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...
9.2K
Ribosome Profiling02:24

Ribosome Profiling

4.0K
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...
4.0K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

SARS-CoV-2 Spike Protein's Structural Dynamics Affect the Activity of the Bebtelovimab Antibody.

Journal of chemical information and modeling·2026
Same author

Identification of Genetic Risk Factors Associated With Herbal and Dietary Supplement-Induced Acute Liver Failure Using Whole Exome Sequencing Analysis.

Gastro hep advances·2025
Same author

Microphysiological systems as an emerging in vitro approach for the evaluation of drug absorption, distribution, metabolism, and excretion and toxicity.

Drug metabolism and disposition: the biological fate of chemicals·2025
Same author

Targeted DNA-seq and RNA-seq of Reference Samples with Short-read and Long-read Sequencing.

Scientific data·2024
Same author

Direct RNA sequencing of astronaut blood reveals spaceflight-associated m6A increases and hematopoietic transcriptional responses.

Nature communications·2024
Same author

Domain-Adversarial Transformer Network for Multiphase Liver Tumor Segmentation.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2023

Related Experiment Video

Updated: Jan 2, 2026

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification
10:37

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification

Published on: November 15, 2017

12.5K

Comprehensive Identification and Characterization of Human Secretome Based on Integrative Proteomic and

Geng Chen1, Jiwei Chen1, Huanlong Liu1

  • 1The Center for Bioinformatics and Computational Biology, Shanghai Key Laboratory of Regulatory Biology, The Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai, China.

Frontiers in Cell and Developmental Biology
|December 12, 2019
PubMed
Summary

Researchers identified 6,943 human secreted proteins (SPs), including 3,522 novel ones, using extensive proteomic and transcriptomic data. This comprehensive resource advances understanding of the human secretome and its role in health and disease.

Keywords:
RNA-seqhuman secretomeproteomesecreted proteinstranscriptome

More Related Videos

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
07:28

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics

Published on: October 19, 2021

3.6K
Comprehensive Workflow of Mass Spectrometry-based Shotgun Proteomics of Tissue Samples
14:51

Comprehensive Workflow of Mass Spectrometry-based Shotgun Proteomics of Tissue Samples

Published on: November 13, 2021

6.0K

Related Experiment Videos

Last Updated: Jan 2, 2026

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification
10:37

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification

Published on: November 15, 2017

12.5K
JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
07:28

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics

Published on: October 19, 2021

3.6K
Comprehensive Workflow of Mass Spectrometry-based Shotgun Proteomics of Tissue Samples
14:51

Comprehensive Workflow of Mass Spectrometry-based Shotgun Proteomics of Tissue Samples

Published on: November 13, 2021

6.0K

Area of Science:

  • Proteomics
  • Human Secretome
  • Bioinformatics

Background:

  • Secreted proteins (SPs) are crucial for biological processes, but a comprehensive human SP list is lacking.
  • Existing resources do not fully capture the diversity and functions of human SPs.
  • Accurate identification of SPs is essential for understanding cellular communication and disease mechanisms.

Purpose of the Study:

  • To identify and characterize a high-confidence set of human secreted proteins (SPs).
  • To create a comprehensive database of human SPs for research use.
  • To explore the potential of SPs as biomarkers for cancer prognosis.

Main Methods:

  • Integrated analysis of human protein databases (UniProt, Ensembl, AceView, RefSeq) with mass spectrometry (MS) and RNA-seq data.
  • Bioinformatic approaches for high-confidence SP identification and domain analysis.
  • Development of the freely accessible SPRomeDB database (www.unimd.org/SPRomeDB).

Main Results:

  • Identified 6,943 high-confidence human SPs, with 3,522 novel entries.
  • 90.3% of identified SPs were supported by MS and RNA-seq evidence.
  • Discovered 14 cancer-specific SPs associated with patient survival in eight tumor types.
  • Found that 89.21% of SPs, including novel ones, contain known protein domains, particularly related to immunity.

Conclusions:

  • This study provides the most comprehensive catalog of human SPs to date.
  • The identified SPs are broadly expressed and can serve as potential prognostic biomarkers.
  • The SPRomeDB database offers a valuable resource for future research into the human secretome and its implications in disease.