Joel Rozowsky, PhD
Research Scientist in Molecular Biophysics and BiochemistryCards
About
Research
Publications
2023
More than bad luck: Cancer and aging are linked to replication-driven changes to the epigenome
Minteer C, Thrush K, Gonzalez J, Niimi P, Rozenblit M, Rozowsky J, Liu J, Frank M, McCabe T, Sehgal R, Higgins-Chen A, Hofstatter E, Pusztai L, Beckman K, Gerstein M, Levine M. More than bad luck: Cancer and aging are linked to replication-driven changes to the epigenome. Science Advances 2023, 9: eadf4163. PMID: 37467337, PMCID: PMC10355820, DOI: 10.1126/sciadv.adf4163.Peer-Reviewed Original ResearchConceptsStem cell divisionImmortalized human cellsTissue-specific cancer riskTumorigenic stateCell divisionDNA methylationEpigenetic changesAge-related accumulationHuman cellsMultiple tissuesSomatic mutationsClinical tissuesTissue differencesEpigenomeCellsTissueNormal tissuesMethylationMutationsReplicationNormal breast tissueSignaturesVitroAccumulationDivisionexRNA-eCLIP intersection analysis reveals a map of extracellular RNA binding proteins and associated RNAs across major human biofluids and carriers
LaPlante E, Stürchler A, Fullem R, Chen D, Starner A, Esquivel E, Alsop E, Jackson A, Ghiran I, Pereira G, Rozowsky J, Chang J, Gerstein M, Alexander R, Roth M, Franklin J, Coffey R, Raffai R, Mansuy I, Stavrakis S, deMello A, Laurent L, Wang Y, Tsai C, Liu T, Jones J, Van Keuren-Jensen K, Van Nostrand E, Mateescu B, Milosavljevic A. exRNA-eCLIP intersection analysis reveals a map of extracellular RNA binding proteins and associated RNAs across major human biofluids and carriers. Cell Genomics 2023, 3: 100303. PMID: 37228754, PMCID: PMC10203258, DOI: 10.1016/j.xgen.2023.100303.Peer-Reviewed Original ResearchThe EN-TEx resource of multi-tissue personal epigenomes & variant-impact models
Rozowsky J, Gao J, Borsari B, Yang Y, Galeev T, Gürsoy G, Epstein C, Xiong K, Xu J, Li T, Liu J, Yu K, Berthel A, Chen Z, Navarro F, Sun M, Wright J, Chang J, Cameron C, Shoresh N, Gaskell E, Drenkow J, Adrian J, Aganezov S, Aguet F, Balderrama-Gutierrez G, Banskota S, Corona G, Chee S, Chhetri S, Cortez Martins G, Danyko C, Davis C, Farid D, Farrell N, Gabdank I, Gofin Y, Gorkin D, Gu M, Hecht V, Hitz B, Issner R, Jiang Y, Kirsche M, Kong X, Lam B, Li S, Li B, Li X, Lin K, Luo R, Mackiewicz M, Meng R, Moore J, Mudge J, Nelson N, Nusbaum C, Popov I, Pratt H, Qiu Y, Ramakrishnan S, Raymond J, Salichos L, Scavelli A, Schreiber J, Sedlazeck F, See L, Sherman R, Shi X, Shi M, Sloan C, Strattan J, Tan Z, Tanaka F, Vlasova A, Wang J, Werner J, Williams B, Xu M, Yan C, Yu L, Zaleski C, Zhang J, Ardlie K, Cherry J, Mendenhall E, Noble W, Weng Z, Levine M, Dobin A, Wold B, Mortazavi A, Ren B, Gillis J, Myers R, Snyder M, Choudhary J, Milosavljevic A, Schatz M, Bernstein B, Guigó R, Gingeras T, Gerstein M. The EN-TEx resource of multi-tissue personal epigenomes & variant-impact models. Cell 2023, 186: 1493-1511.e40. PMID: 37001506, PMCID: PMC10074325, DOI: 10.1016/j.cell.2023.02.018.Peer-Reviewed Original Research
2022
Phase 2 of extracellular RNA communication consortium charts next-generation approaches for extracellular RNA research
Mateescu B, Jones JC, Alexander RP, Alsop E, An JY, Asghari M, Boomgarden A, Bouchareychas L, Cayota A, Chang HC, Charest A, Chiu DT, Coffey RJ, Das S, De Hoff P, deMello A, D’Souza-Schorey C, Elashoff D, Eliato KR, Franklin JL, Galas DJ, Gerstein MB, Ghiran IH, Go DB, Gould S, Grogan TR, Higginbotham JN, Hladik F, Huang TJ, Huo X, Hutchins E, Jeppesen DK, Jovanovic-Talisman T, Kim BYS, Kim S, Kim KM, Kim Y, Kitchen RR, Knouse V, LaPlante EL, Lebrilla CB, Lee LJ, Lennon KM, Li G, Li F, Li T, Liu T, Liu Z, Maddox AL, McCarthy K, Meechoovet B, Maniya N, Meng Y, Milosavljevic A, Min BH, Morey A, Ng M, Nolan J, De Oliveira G, Paulaitis ME, Phu TA, Raffai RL, Reátegui E, Roth ME, Routenberg DA, Rozowsky J, Rufo J, Senapati S, Shachar S, Sharma H, Sood AK, Stavrakis S, Stürchler A, Tewari M, Tosar JP, Tucker-Schwartz AK, Turchinovich A, Valkov N, Van Keuren-Jensen K, Vickers KC, Vojtech L, Vreeland WN, Wang C, Wang K, Wang Z, Welsh JA, Witwer KW, Wong DTW, Xia J, Xie YH, Yang K, Zaborowski MP, Zhang C, Zhang Q, Zivkovic AM, Laurent LC. Phase 2 of extracellular RNA communication consortium charts next-generation approaches for extracellular RNA research. IScience 2022, 25: 104653. PMID: 35958027, PMCID: PMC9358052, DOI: 10.1016/j.isci.2022.104653.Peer-Reviewed Original ResearchAuthor Correction: Expanded encyclopaedias of DNA elements in the human and mouse genomes
Moore J, Purcaro M, Pratt H, Epstein C, Shoresh N, Adrian J, Kawli T, Davis C, Dobin A, Kaul R, Halow J, Van Nostrand E, Freese P, Gorkin D, Shen Y, He Y, Mackiewicz M, Pauli-Behn F, Williams B, Mortazavi A, Keller C, Zhang X, Elhajjajy S, Huey J, Dickel D, Snetkova V, Wei X, Wang X, Rivera-Mulia J, Rozowsky J, Zhang J, Chhetri S, Zhang J, Victorsen A, White K, Visel A, Yeo G, Burge C, Lécuyer E, Gilbert D, Dekker J, Rinn J, Mendenhall E, Ecker J, Kellis M, Klein R, Noble W, Kundaje A, Guigó R, Farnham P, Cherry J, Myers R, Ren B, Graveley B, Gerstein M, Pennacchio L, Snyder M, Bernstein B, Wold B, Hardison R, Gingeras T, Stamatoyannopoulos J, Weng Z. Author Correction: Expanded encyclopaedias of DNA elements in the human and mouse genomes. Nature 2022, 605: e3-e3. PMID: 35474001, PMCID: PMC9095460, DOI: 10.1038/s41586-021-04226-3.Peer-Reviewed Original ResearchA Novel Tissue Atlas and Online Tool for the Interrogation of Small RNA Expression in Human Tissues and Biofluids
Alsop E, Meechoovet B, Kitchen R, Sweeney T, Beach T, Serrano G, Hutchins E, Ghiran I, Reiman R, Syring M, Hsieh M, Courtright-Lim A, Valkov N, Whitsett T, Rakela J, Pockros P, Rozowsky J, Gallego J, Huentelman M, Shah R, Nakaji P, Kalani M, Laurent L, Das S, Van Keuren-Jensen K. A Novel Tissue Atlas and Online Tool for the Interrogation of Small RNA Expression in Human Tissues and Biofluids. Frontiers In Cell And Developmental Biology 2022, 10: 804164. PMID: 35317387, PMCID: PMC8934391, DOI: 10.3389/fcell.2022.804164.Peer-Reviewed Original ResearchOpen Problems in Extracellular RNA Data Analysis: Insights From an ERCC Online Workshop
Alexander R, Kitchen R, Tosar J, Roth M, Mestdagh P, Max K, Rozowsky J, Kaczor-Urbanowicz K, Chang J, Balaj L, Losic B, Van Nostrand E, LaPlante E, Mateescu B, White B, Yu R, Milosavljevic A, Stolovitzky G, Spengler R. Open Problems in Extracellular RNA Data Analysis: Insights From an ERCC Online Workshop. Frontiers In Genetics 2022, 12: 778416. PMID: 35047007, PMCID: PMC8762274, DOI: 10.3389/fgene.2021.778416.Peer-Reviewed Original Research
2021
Whole-genome sequencing of phenotypically distinct inflammatory breast cancers reveals similar genomic alterations to non-inflammatory breast cancers
Li X, Kumar S, Harmanci A, Li S, Kitchen RR, Zhang Y, Wali VB, Reddy SM, Woodward WA, Reuben JM, Rozowsky J, Hatzis C, Ueno NT, Krishnamurthy S, Pusztai L, Gerstein M. Whole-genome sequencing of phenotypically distinct inflammatory breast cancers reveals similar genomic alterations to non-inflammatory breast cancers. Genome Medicine 2021, 13: 70. PMID: 33902690, PMCID: PMC8077918, DOI: 10.1186/s13073-021-00879-x.Peer-Reviewed Original ResearchConceptsSingle nucleotide variantsWhole-genome sequencingGermline single nucleotide variantsInternational Cancer Genome ConsortiumGenomic featuresGenomic alterationsGenome ConsortiumClonal architectureWhole Genomes (PCAWG) ConsortiumNon-coding regionsCancer-related pathwaysNon-IBC samplesCancer Genome Atlas ProgramMAST2 geneCopy number profilesPan-cancer analysisTGF-β pathwayGenomic architectureGenomic regionsSimilar genomic alterationsSimilar genomic characteristicsComplex SVsIBC samplesGenomic differencesOverall mutational load
2020
Expanded encyclopaedias of DNA elements in the human and mouse genomes
Moore J, Purcaro M, Pratt H, Epstein C, Shoresh N, Adrian J, Kawli T, Davis C, Dobin A, Kaul R, Halow J, Van Nostrand E, Freese P, Gorkin D, Shen Y, He Y, Mackiewicz M, Pauli-Behn F, Williams B, Mortazavi A, Keller C, Zhang X, Elhajjajy S, Huey J, Dickel D, Snetkova V, Wei X, Wang X, Rivera-Mulia J, Rozowsky J, Zhang J, Chhetri S, Zhang J, Victorsen A, White K, Visel A, Yeo G, Burge C, Lécuyer E, Gilbert D, Dekker J, Rinn J, Mendenhall E, Ecker J, Kellis M, Klein R, Noble W, Kundaje A, Guigó R, Farnham P, Cherry J, Myers R, Ren B, Graveley B, Gerstein M, Pennacchio L, Snyder M, Bernstein B, Wold B, Hardison R, Gingeras T, Stamatoyannopoulos J, Weng Z. Expanded encyclopaedias of DNA elements in the human and mouse genomes. Nature 2020, 583: 699-710. PMID: 32728249, PMCID: PMC7410828, DOI: 10.1038/s41586-020-2493-4.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsChromatinDatabases, GeneticDeoxyribonuclease IDNADNA FootprintingDNA MethylationDNA Replication TimingGenomeGenome, HumanGenomicsHistonesHumansMiceMice, TransgenicMolecular Sequence AnnotationRegistriesRegulatory Sequences, Nucleic AcidRNA-Binding ProteinsTranscription, GeneticTransposasesConceptsMouse genomeCandidate cis-regulatory elementsCis-regulatory elementsDNA Elements (ENCODE) projectMouse fetal developmentChromatin structureGene regulationRespective genomesCellular contextDNA elementsDNA methylationENCODE dataTranscription factorsRNA transcriptionWeb-based serverGenomeExpansive resourceRNAEncyclopediaProteinFetal developmentChromatinTranscriptionHumansMethylation
2018
Isoform-Level Interpretation of High-Throughput Proteomics Data Enabled by Deep Integration with RNA-seq
Carlyle B, Kitchen RR, Zhang J, Wilson R, Lam T, Rozowsky JS, Williams KR, Sestan N, Gerstein M, Nairn AC. Isoform-Level Interpretation of High-Throughput Proteomics Data Enabled by Deep Integration with RNA-seq. Journal Of Proteome Research 2018, 17: 3431-3444. PMID: 30125121, PMCID: PMC6392456, DOI: 10.1021/acs.jproteome.8b00310.Peer-Reviewed Original ResearchConceptsRNA-seqProteomic dataGene expressionLiquid chromatography-tandem mass spectrometry proteomicsTandem mass spectrometry proteomicsHigh-throughput proteomic dataTranscriptomic profiling methodsDistinct amino acid sequencesTranscript-level expressionAmino acid sequenceMass spectrometry proteomicsHEK293 cell culturesTranslatome dataMost genesProfound functional implicationsProtein isoformsAlternate isoformsGene productsAcid sequenceCellular controlBiosynthetic stateGeneration of peptidesCell typesFunctional relevanceFunctional implications