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Shao-En Ong
University Of Washington
$5,152,746
Attributed
$6,082,429
Total exposure
7
Grants
7
Lead (contact PI)
Attributed= this PI's even-split share of every grant they're on (the fair, additive number). Exposure = full size of all those grants.
Funding over time
peak $1.2M · FY2013–25$2M$1.5M$1M$500K$0
'13
'14
'15
'16
'17
'18
'19
'20
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$6,082,429 · 7
By mechanism
R01$3,317,263 · 2
R21$1,859,366 · 4
S10$905,800 · 1
Top collaborators
- Dustin J Maly5 shared
- Nancy Maizels2 shared
- Raymond Yeung2 shared
Most similar at University Of Washington
Same institution · by research overlap
- Jay Ashok Shendure$46,577,843
- Matt Kaeberlein$21,041,861
- Stephen Mark Schwartz$17,996,380
- David H Russell$2,964,384
- Alexander Y. Rudensky$25,430,435
Others in their field
Top investigators on “Proteomics”
- David Heimbrook · Leidos Biomedical Research, Inc.$318,825,229
- Stanley M Lemon · Univ Of North Carolina Chapel Hill$110,612,005
- Alan F Horwitz · University Of Virginia Charlottesville$73,668,592
- Gaetano T Montelione · Rutgers The St Univ Of Nj New Brunswick$70,176,616
- Rolf Apweiler · European Molecular Biology Laboratory$67,677,991
- Daniel Ernest Ford · Johns Hopkins University$67,257,868
Research focus
ProteomicsCellsComplexProteinsNovel StrategiesMass Spectrum AnalysisBaseData SetProtein ComplexSpecificityPost-Translational Protein ProcessingPublic Health RelevanceGenesGenomicsBiologicalPathway InteractionsPhosphotransferasesSiteSamplingCell LineMalignant NeoplasmsKinase InhibitorPharmaceutical PreparationsSignal Pathway
Grant awards (20)
Proteomic signatures to predict drug response in cancer$181,741
R21 · FY2025 · CA · contact PI
Proteomic signatures to predict drug response in cancer$218,089
R21 · FY2024 · CA · contact PI
Defining Pathway-Specific Kinase Signaling Modules with Proteomics$382,154
R01 · FY2022 · GM · contact PI
Defining Pathway-Specific Kinase Signaling Modules with Proteomics$395,242
R01 · FY2021 · GM · contact PI
Defining Pathway-Specific Kinase Signaling Modules with Proteomics$395,242
R01 · FY2020 · GM · contact PI
Supplement to DEFINING PATHWAY-SPECIFIC KINASE SIGNALING MODULES WITH PROTEOMICS$101,870
R01 · FY2020 · GM · contact PI
Defining Pathway-Specific Kinase Signaling Modules with Proteomics$401,190
R01 · FY2019 · GM · contact PI
A NanoLC-Orbitrap Tribrid Instrument for Comprehensive Proteomics Analyses$905,800
S10 · FY2017 · OD · contact PI
Characterizing Muscle Regulatory Elements with Mass Spectrometry-Based Proteomics$328,313
R01 · FY2017 · AR · contact PI
Characterizing Muscle Regulatory Elements with Mass Spectrometry-Based Proteomics$328,313
R01 · FY2016 · AR · contact PI
Novel Targets of Chemotherapeutic Drugs that Trap Protein on DNA$201,623
R21 · FY2016 · CA · contact PI
Characterizing muscle regulatory elements with mass spectrometry-based proteomics$328,313
R01 · FY2015 · AR · contact PI
Kinase Profiling with Quantititative Chemoproteomics$201,623
R21 · FY2015 · CA · contact PI
Target identification by small-molecule labeling in live cells$193,125
R21 · FY2015 · EB · contact PI
Novel Targets of Chemotherapeutic Drugs that Trap Protein on DNA$168,019
R21 · FY2015 · CA · contact PI
Characterizing muscle regulatory elements with mass spectrometry-based proteomics$328,313
R01 · FY2014 · AR · contact PI
Target identification by small-molecule labeling in live cells$231,750
R21 · FY2014 · EB · contact PI
Kinase Profiling with Quantititative Chemoproteomics$228,170
R21 · FY2014 · CA · contact PI
Characterizing muscle regulatory elements with mass spectrometry-based proteomics$328,313
R01 · FY2013 · AR · contact PI
Kinase Profiling with Quantititative Chemoproteomics$235,226
R21 · FY2013 · CA · contact PI