luo_junyu@gzlab.ac.cn
Greater Bay Area Center for Bioinformation
liao_shuilin@gzlab.ac.cn
Ming Dong Lab
Typical response time: 1–3 business days.
Support
Contact
We welcome your questions, feedback, and collaboration inquiries. Please reach out to the Exologue team through the following channels.
Address
Guangzhou Laboratory, No. 9 XingDaoHuanBei Road, Guangzhou Bio Island, Guangzhou, 510005, China
Research Teams
Prof. Ming Dong
Principal Investigator
Guangzhou Laboratory
Ming Dong Lab (董鸣课题组)
Our group focuses on the biology and clinical translation of extracellular vesicles, developing innovative techniques and AI-driven multi-omics strategies to advance biomarker discovery and precision medicine.
Extracellular VesiclesProteomicsMicrofluidicsAIClinical Translation
Explore publications
Browse the group’s supplied extracellular-vesicle research record.
View publications
Research technology
Automatic Microfluidic Exosome Extraction Device
Exo-CMDS
Directly load whole blood to complete exosome extraction, purification, enrichment, and testing preparation in 10 minutes. Non-differential extraction supports full exosome types, high purity and yield, intact structure, and clinical-grade testing.
No pre-processing
10-minute workflow
High purity and yield
Clinical-grade testing
Selected Publications
Recent work spanning extracellular-vesicle computation, biomarkers, and detection technology.
DADA-EV: domain-adaptive diffusion autoencoder for estimating tissue- and cell-type-specific origin in extracellular vesicle transcriptomes
Briefings in Bioinformatics
2026 May;27(3):bbag281
DOI: 10.1093/bib/bbag281
MWENA: a novel sample re-weighting-based algorithm for disease classification and data interpretation using extracellular vesicles omics data
BMC Genomics
2025 Sep 29;26(1):872
DOI: 10.1186/s12864-025-12093-9
The exosomal protein biomarkers auxiliary in diagnosis of interstitial lung disease
Respiratory Research
2025 Aug 1;26(1):255
DOI: 10.1186/s12931-025-03326-2
Accurate and Convenient Lung Cancer Diagnosis through Detection of Extracellular Vesicle Membrane Proteins via Förster Resonance Energy Transfer
Nano Letters
2023 Sep 13;23(17):8115-8125
DOI: 10.1021/acs.nanolett.3c02193
Guangzhou Laboratory
Greater Bay Area Center for Bioinformation(大湾区生物信息中心)
We develop and maintain integrative bioinformatics resources and scalable computational platforms to support multi-omics data analysis and knowledge discovery for the broader research community.
BioinformaticsData ResourcesMulti-omicsAI & Machine Learning
Open-source ecosystem
Public tools and agent-ready resources maintained by GBA-BI.
Bio-OSAn open ecosystem for bioinformatics workspaces, task execution, SDKs, and agent integrations.Bio-OS NavigenA pluggable prompt system that helps general AI agents operate as experts on Bio-OS platforms.EpiClawAn evolving collection of reusable agent skills for epidemiology, pathogen surveillance, bioinformatics, and public-data workflows.
Contribution workflow
Exologue V1 is a read-only database. New contributions are reviewed offline before they are incorporated into a controlled data refresh.
- 1
Prepare data
Assemble proteomics data and metadata covering samples, body fluids, and clinical states.
- 2
Contact the team
Email a short data description together with publication and source information.
- 3
Review and QC
Maintainers assess data quality and compatibility with Exologue’s analysis framework.
- 4
Controlled release
Accepted data are processed offline and published through a future curated refresh.