Wooyoung Eric Jang, PhD
Postdoctoral AssociateAbout
Research
Publications
2026
Discovery Proteomics Using Data Independent Acquisition-based Mass Spectrometry Nominate Biomarkers of Stroke Diagnosis (S25.009)
Misra S, Jang W, Herrera S, Torres-Lopez V, Caglayan P, Falcone G, Sansing L, Rangaraju S. Discovery Proteomics Using Data Independent Acquisition-based Mass Spectrometry Nominate Biomarkers of Stroke Diagnosis (S25.009). Neurology 2026, 106 DOI: 10.1212/wnl.0000000000215639.Peer-Reviewed Original ResearchDiscovery Proteomics Using Data Independent Acquisition-based Mass Spectrometry Nominate Biomarker Candidates of Atrial Fibrillation in Stroke (P4-5.016)
Jang W, Misra S, Herrera S, lopez V, Caglayan P, Sharma R, Falcone G, Sansing L, Rangaraju S. Discovery Proteomics Using Data Independent Acquisition-based Mass Spectrometry Nominate Biomarker Candidates of Atrial Fibrillation in Stroke (P4-5.016). Neurology 2026, 106 DOI: 10.1212/wnl.0000000000216874.Peer-Reviewed Original Research0231 Brain Transcriptomics and Synaptosome Proteomics Reveal Cellular Stress and Synapse-Specific Compensatory Changes Induced by Chronic Sleep Disruption
Espinosa-Garcia C, Kour D, Srivastava U, Malepati S, Kumar P, Parhizkar S, Jang W, Kumari R, Henley M, Liu X, Bitarafan S, Tobin B, Wood L, Faundez V, Rangaraju S. 0231 Brain Transcriptomics and Synaptosome Proteomics Reveal Cellular Stress and Synapse-Specific Compensatory Changes Induced by Chronic Sleep Disruption. Sleep 2026, 49: a101-a102. DOI: 10.1093/sleep/zsag091.0231.Peer-Reviewed Original Researchchronic SDsleep disruptioncellular stressAD riskgene expressionmale wild-type micelabel-free quantitative mass spectrometryunfolded protein responsewild-type miceAlzheimer's diseasequantitative mass spectrometrychronic sleep disruptionprogression of ADsleep lossGene Set Variation Analysisbrain tissuemitochondrial proteinssleep control groupp38 MAPK pathwaySD effectprotein responsetranscriptional responsebrain transcriptomesynapse dysfunctionproteomic effectsSimultaneous profiling of native-state proteomes and transcriptomes of neural cell types using proximity labeling
Ramelow C, Dammer E, Xiao H, Cheng L, Kumar P, Espinosa-Garcia C, Sampson M, Kour D, Nelson R, Malepati S, Kumari R, Jang W, Guo Q, Bagchi P, Duong D, Seyfried N, Sloan S, Rangaraju S. Simultaneous profiling of native-state proteomes and transcriptomes of neural cell types using proximity labeling. Nature Communications 2026, 17: 4636. PMID: 41917013, PMCID: PMC13199526, DOI: 10.1038/s41467-026-71098-4.Peer-Reviewed Original ResearchConceptscell type-specific transcriptomescell type-specific patternstype-specific patternsproximity labelingHEK293 cell linemRNA-proteinproteome levelcytosolic proteinsglobal proteomein vivoneural cell typesKnock-In Micetranscriptomesimultaneous profilingproteomicssimultaneously proteinCre driver micemolecular processescell typescell linesproteinsimultaneously in vitroRNAcellscellular contributionsCross‐Platform Proteomics and Machine Learning Algorithms Nominate Plasma Biomarkers of Stroke Diagnosis
Misra S, Jang W, Sanchez S, Natu A, Kumar P, Liu M, Kaur A, Lopez V, Caglayan P, Garcia-Milian R, Watson C, Frankel M, Falcone G, Sansing L, Rangaraju S. Cross‐Platform Proteomics and Machine Learning Algorithms Nominate Plasma Biomarkers of Stroke Diagnosis. Journal Of The American Heart Association 2026, 15: e048249. PMID: 41804885, PMCID: PMC13055837, DOI: 10.1161/jaha.125.048249.Peer-Reviewed Original ResearchConceptsmass spectrometrytransient ischemic attackdata-independent acquisition mass spectrometryacute ischemic strokeischemic attackstroke mimicsintracerebral hemorrhageischemic strokeexternal validation cohortselection operator logistic regressionstroke subtypescase-control studyprotein biomarkersstroke diagnosisTargeted Mass Spectrometryblood-based biomarkersenriched proteinsmulticenter cohortvalidation cohortindependent cohortspectrometryplasma biomarkersclinical covariatesemergency settingprotein panel
2025
Native-state and cell type-specific proteomics using TurboID proximity labeling in mouse models
Kumar P, Kour D, Kumari R, Jang W, Seyfried N, Wood L, Rowan M, Rangaraju S. Native-state and cell type-specific proteomics using TurboID proximity labeling in mouse models. Methods In Cell Biology 2025, 200: 61-88. PMID: 41276354, DOI: 10.1016/bs.mcb.2024.12.002.ChaptersConceptscell-type-specific proteomicsmass spectrometry-based quantitative proteomicscell typesbiotin ligase TurboIDproximity labeling approachproximity labelingbiotinylated proteinsdisease model systemstranscriptomic studiesnative stateTurboIDtransgenic approachesdisease mechanismsproteomicsbiotinylationlabeling approachproteincellsmouse brainmodel systemmouse modeltissue homogenates
2023
Host modulation therapy for improving the osseointegration of dental implants under bone healing-suppressed conditions: a preclinical rodent-model experiment
Song Y, Park J, Kwon Y, Jang W, Kim S, Seo J, Moon S, Jung U. Host modulation therapy for improving the osseointegration of dental implants under bone healing-suppressed conditions: a preclinical rodent-model experiment. Journal Of Periodontal & Implant Science 2023, 53: 177-188. PMID: 37857517, PMCID: PMC11227931, DOI: 10.5051/jpis.2301800090.Peer-Reviewed Original ResearchDysregulation of the Wnt/β-catenin signaling pathway via Rnf146 upregulation in a VPA-induced mouse model of autism spectrum disorder
Park G, Jang W, Kim S, Gonzales E, Ji J, Choi S, Kim Y, Park J, Mohammad H, Bang G, Kang M, Kim S, Jeon S, Kim J, Kim K, Shin C, An J, Kim M, Lee Y. Dysregulation of the Wnt/β-catenin signaling pathway via Rnf146 upregulation in a VPA-induced mouse model of autism spectrum disorder. Experimental & Molecular Medicine 2023, 55: 1783-1794. PMID: 37524878, PMCID: PMC10474298, DOI: 10.1038/s12276-023-01065-2.Peer-Reviewed Original Research
2022
Cntnap2-dependent molecular networks in autism spectrum disorder revealed through an integrative multi-omics analysis
Jang W, Park J, Park G, Bang G, Na C, Kim J, Kim K, Kim K, Shin C, An J, Lee Y, Kim M. Cntnap2-dependent molecular networks in autism spectrum disorder revealed through an integrative multi-omics analysis. Molecular Psychiatry 2022, 28: 810-821. PMID: 36253443, PMCID: PMC9908544, DOI: 10.1038/s41380-022-01822-1.Peer-Reviewed Original ResearchIdentification of organophosphate modifications by high‐resolution mass spectrometry
Lee J, Jang W, Park J, Mohammad H, Lee J, Jeong W, Kim M. Identification of organophosphate modifications by high‐resolution mass spectrometry. Bulletin Of The Korean Chemical Society 2022, 43: 444-449. DOI: 10.1002/bkcs.12478.Peer-Reviewed Original Research
Get In Touch
Contacts
Locations
Srikant Rangaraju Laboratory
Lab
300 George Street, Ste 8300
New Haven, CT 06511