2023
Targeting ATAD3A-PINK1-mitophagy axis overcomes chemoimmunotherapy resistance by redirecting PD-L1 to mitochondria
Xie X, Yang Y, Wang Q, Liu H, Fang X, Li C, Jiang Y, Wang S, Zhao H, Miao J, Ding S, Liu X, Yao X, Yang W, Jiang J, Shao Z, Jin G, Bian X. Targeting ATAD3A-PINK1-mitophagy axis overcomes chemoimmunotherapy resistance by redirecting PD-L1 to mitochondria. Cell Research 2023, 33: 215-228. PMID: 36627348, PMCID: PMC9977947, DOI: 10.1038/s41422-022-00766-z.Peer-Reviewed Original ResearchConceptsImmune checkpoint inhibitorsPD-L1Combination therapyTherapeutic responsePD-1/PD-L1 signalingShorter progression-free survivalBreast cancer benefitProgression-free survivalPD-L1 signalingCheckpoint inhibitorsNab-paclitaxelCancer benefitImmunotherapy cohortImmune microenvironmentPreclinical resultsTumor cell membranesTumor samplesPaclitaxelHigh expressionPromising targetPatientsTherapyTumorsResistant factorATAD3A expression
2015
A Statistical Framework to Predict Functional Non-Coding Regions in the Human Genome Through Integrated Analysis of Annotation Data
Lu Q, Hu Y, Sun J, Cheng Y, Cheung KH, Zhao H. A Statistical Framework to Predict Functional Non-Coding Regions in the Human Genome Through Integrated Analysis of Annotation Data. Scientific Reports 2015, 5: 10576. PMID: 26015273, PMCID: PMC4444969, DOI: 10.1038/srep10576.Peer-Reviewed Original ResearchConceptsHuman genomeFunctional regionsStatistical frameworkAnnotation dataFunctional annotation dataWhole-genome annotationNon-coding regionsGenomic conservationHigh-throughput experimentsENCODE projectExperimental annotationsGenomeUnsupervised statistical learningFunctional potentialHuman geneticsStatistical learningComputational predictionsIntegrated analysisAnnotationAnnotation methodDiverse typesPowerful toolGeneticsMajor goalWeb server