2016
A generic, cost-effective, and scalable cell lineage analysis platform
Biezuner T, Spiro A, Raz O, Amir S, Milo L, Adar R, Chapal-Ilani N, Berman V, Fried Y, Ainbinder E, Cohen G, Barr H, Halaban R, Shapiro E. A generic, cost-effective, and scalable cell lineage analysis platform. Genome Research 2016, 26: 1588-1599. PMID: 27558250, PMCID: PMC5088600, DOI: 10.1101/gr.202903.115.Peer-Reviewed Original ResearchConceptsLineage analysisSingle cell lineage analysisSingle-cell sequencing dataSingle-cell genomicsCurrent sequencing-based methodsIndividual cellsCell lineage analysisSingle-cell sequencingSequencing-based methodsLineage treesSequencing dataLineage relationsCellsTreesGenomicsAnalysis platformInput cellsSequencingBulk analysisVivoDiscoveryLandscape
2008
MEDME: An experimental and analytical methodology for the estimation of DNA methylation levels based on microarray derived MeDIP-enrichment
Pelizzola M, Koga Y, Urban AE, Krauthammer M, Weissman S, Halaban R, Molinaro AM. MEDME: An experimental and analytical methodology for the estimation of DNA methylation levels based on microarray derived MeDIP-enrichment. Genome Research 2008, 18: 1652-1659. PMID: 18765822, PMCID: PMC2556264, DOI: 10.1101/gr.080721.108.Peer-Reviewed Original ResearchConceptsDNA methylation levelsDNA methylationMethylation levelsRelative DNA methylation levelsChromosome-wide levelBisulfite genomic DNA sequencingGenome-wide studiesMelanoma cell strainsDNA methylation statusGenomic DNA sequencingTranscriptional machineryNormal human melanocytesMethylated CpGsMethylated fragmentsEpigenetic modificationsMethylation estimatesHigh-throughput settingHuman diseasesHuman melanocytesMethylationMethylation statusDNA sequencingAntibody enrichmentGenomeCell strains