An Integrated Gene Expression Landscape Profiling Approach to Identify Lung Tumor Endothelial Cell Heterogeneity and Angiogenic Candidates
VIB-KU Leuven Center for Cancer Biology · Sun Yat-sen University · +10 more institutions
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Abstract
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465
total citations
- FWCI
- 22.67
- Percentile
- 100%
- References
- 69
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Authors
49Topics & keywords
Topics
Keywords
- Phenotype
- Biology
- Cell
- Cell biology
- In vivo
- Gene expression profiling
- Single-cell analysis
- Lung
UN Sustainable Development Goals
- Life in Land
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Funding
- AUAarhus Universitet
- NNNational Natural Science Foundation of ChinaAward: 81670855
- SYSun Yat-sen University
- ASAustrian Science FundAward: J3730-B26
- FWFonds Wetenschappelijk Onderzoek
- FTFritz Thyssen Stiftung
- LLundbeckfondenAwards: R219–2016-1375, 8048-00072A
- VIVlaams Instituut voor Biotechnologie
- DFDanmarks Frie Forskningsfond
- UAUniversiteit Antwerpen
- KOKom op tegen Kanker
- VRVlaamse regering
- FCFondation contre le CancerAward: 2016-078
- EREuropean Research Council
- SPSanming Project of Medicine in ShenzhenAward: SZSM201612074
- KTKey Technologies Research and Development Program of GuangzhouAward: 3030901006074