Featured Publications
ALKBH5 modulates hematopoietic stem and progenitor cell energy metabolism through m6A modification-mediated RNA stability control
Gao Y, Zimmer J, Vasic R, Liu C, Gbyli R, Zheng S, Patel A, Liu W, Qi Z, Li Y, Nelakanti R, Song Y, Biancon G, Xiao A, Slavoff S, Kibbey R, Flavell R, Simon M, Tebaldi T, Li H, Halene S. ALKBH5 modulates hematopoietic stem and progenitor cell energy metabolism through m6A modification-mediated RNA stability control. Cell Reports 2023, 42: 113163. PMID: 37742191, PMCID: PMC10636609, DOI: 10.1016/j.celrep.2023.113163.Peer-Reviewed Original ResearchConceptsAlkB homolog 5Post-transcriptional regulatory mechanismsHematopoietic stemNumerous cellular processesProgenitor cell fitnessEnergy metabolismMitochondrial ATP productionMethyladenosine (m<sup>6</sup>A) RNA modificationTricarboxylic acid cycleCell energy metabolismHuman hematopoietic cellsMitochondrial energy productionCell fitnessCellular processesRNA modificationsRNA methylationRegulatory mechanismsEnzyme transcriptsATP productionHomolog 5Acid cycleΑ-ketoglutarateHematopoietic cellsMessenger RNAΑ-KGDeconvolution of in vivo protein-RNA contacts using fractionated eCLIP-seq
Biancon G, Busarello E, Joshi P, Lesch B, Halene S, Tebaldi T. Deconvolution of in vivo protein-RNA contacts using fractionated eCLIP-seq. STAR Protocols 2022, 3: 101823. PMID: 36595959, PMCID: PMC9676202, DOI: 10.1016/j.xpro.2022.101823.Peer-Reviewed Original ResearchConceptsProtein-RNA interactionsIndividual RNA-binding proteinsTranscriptome-wide analysisThousands of RNAsProtein-RNA contactsRNA-binding proteinSingle nucleotide levelComputational analysis pipelineRNA processingMulticomponent complexesRNA immunoprecipitationRead countsComplete detailsAnalysis pipelineAdditional levelProteinImmunoprecipitationRNAInteractionComplexesTranscriptome-wide quantification of double-stranded RNAs in live mouse tissues by dsRIP-Seq
Gao Y, Chen S, Halene S, Tebaldi T. Transcriptome-wide quantification of double-stranded RNAs in live mouse tissues by dsRIP-Seq. STAR Protocols 2021, 2: 100366. PMID: 33778776, PMCID: PMC7982789, DOI: 10.1016/j.xpro.2021.100366.Peer-Reviewed Original ResearchConceptsDouble-stranded RNALive mouse tissuesDeleterious innate immune responseInnate immune responseEndogenous double-stranded RNAMouse tissuesMultiple regulatory functionsRecognition of RNADownstream computational analysisImmune responseRNA editingActivate innate immune responsesRegulatory functionsComplete detailsRNAImmunoprecipitationTissue isolationComplete protocolGao etComputational analysisSequencingTissueEditing
2022
Pre-mRNA splicing factor U2AF2 recognizes distinct conformations of nucleotide variants at the center of the pre-mRNA splice site signal
Glasser E, Maji D, Biancon G, Puthenpeedikakkal AMK, Cavender CE, Tebaldi T, Jenkins JL, Mathews DH, Halene S, Kielkopf CL. Pre-mRNA splicing factor U2AF2 recognizes distinct conformations of nucleotide variants at the center of the pre-mRNA splice site signal. Nucleic Acids Research 2022, 50: 5299-5312. PMID: 35524551, PMCID: PMC9128377, DOI: 10.1093/nar/gkac287.Peer-Reviewed Original Research
2018
SRSF2 mutations drive oncogenesis by activating a global program of aberrant alternative splicing in hematopoietic cells
Liang Y, Tebaldi T, Rejeski K, Joshi P, Stefani G, Taylor A, Song Y, Vasic R, Maziarz J, Balasubramanian K, Ardasheva A, Ding A, Quattrone A, Halene S. SRSF2 mutations drive oncogenesis by activating a global program of aberrant alternative splicing in hematopoietic cells. Leukemia 2018, 32: 2659-2671. PMID: 29858584, PMCID: PMC6274620, DOI: 10.1038/s41375-018-0152-7.Peer-Reviewed Original ResearchConceptsSplicing factorsRNA processingAlternative splicingGene productsSplicing factor SRSF2Gene regulatory eventsAberrant alternative splicingSplice alterationsRecurrent mutationsSplicing proteinsHITS-CLIPSR familyMRNA splicingSplicing genesHematopoietic differentiationRegulatory eventsImpairs hematopoietic differentiationMolecular explanationWidespread modificationSplicingHematopoietic cellsMutationsBinding eventsOncogenesisProtein
2017
Pediatric non–Down syndrome acute megakaryoblastic leukemia is characterized by distinct genomic subsets with varying outcomes
de Rooij JD, Branstetter C, Ma J, Li Y, Walsh MP, Cheng J, Obulkasim A, Dang J, Easton J, Verboon LJ, Mulder HL, Zimmermann M, Koss C, Gupta P, Edmonson M, Rusch M, Lim JY, Reinhardt K, Pigazzi M, Song G, Yeoh AE, Shih LY, Liang DC, Halene S, Krause DS, Zhang J, Downing JR, Locatelli F, Reinhardt D, van den Heuvel-Eibrink MM, Zwaan CM, Fornerod M, Gruber TA. Pediatric non–Down syndrome acute megakaryoblastic leukemia is characterized by distinct genomic subsets with varying outcomes. Nature Genetics 2017, 49: 451-456. PMID: 28112737, PMCID: PMC5687824, DOI: 10.1038/ng.3772.Peer-Reviewed Original Research