2023
Machine learning identifies T cell receptor repertoire signatures associated with COVID-19 severity
Park J, Lee K, Lam S, Moon K, Fang Z, Chen S. Machine learning identifies T cell receptor repertoire signatures associated with COVID-19 severity. Communications Biology 2023, 6: 76. PMID: 36670287, PMCID: PMC9853487, DOI: 10.1038/s42003-023-04447-4.Peer-Reviewed Original ResearchConceptsCOVID-19 disease severityT cell effector functionT cell receptor repertoireT cell clonal expansionT cell adaptive immune responsesCell effector functionsCOVID-19 patientsTCR repertoire analysisAdaptive immune responsesCell receptor repertoireCOVID-19 severityCOVID-19 infectionCell clonal expansionNF-kB signalingSARS-CoV-2TCR repertoireHealthy donorsImmune responseAntiviral immunityEffector functionsViral infectionHost responseDisease severityReceptor repertoireTCR sequences
2022
LRRC15 inhibits SARS-CoV-2 cellular entry in trans
Song J, Chow RD, Peña-Hernández MA, Zhang L, Loeb SA, So EY, Liang OD, Ren P, Chen S, Wilen CB, Lee S. LRRC15 inhibits SARS-CoV-2 cellular entry in trans. PLOS Biology 2022, 20: e3001805. PMID: 36228039, PMCID: PMC9595563, DOI: 10.1371/journal.pbio.3001805.Peer-Reviewed Original ResearchConceptsExpression of LRRC15Receptor-binding domainViral entryAcute respiratory syndrome coronavirus 2 infectionSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infectionSARS-CoV-2 cellular entrySyndrome coronavirus 2 infectionSARS-CoV-2 entrySpike-mediated entryCoronavirus 2 infectionCOVID-19 patientsCellular entry factorsSARS-CoV-2Attachment factorsACE2-negative cellsEnzyme 2Receptor angiotensinEntry factorsProtective roleLRRC15Spike proteinSame cell typeCRISPR activation screensACE2Cellular entry