2023
A basic phosphoproteomic-DIA workflow integrating precise quantification of phosphosites in systems biology
Di Y, Li W, Salovska B, Ba Q, Hu Z, Wang S, Liu Y. A basic phosphoproteomic-DIA workflow integrating precise quantification of phosphosites in systems biology. Biophysics Reports 2023, 9: 82-98. PMID: 37753060, PMCID: PMC10518521, DOI: 10.52601/bpr.2023.230007.Peer-Reviewed Original ResearchPost-translational modificationsData-independent acquisitionSystems biologySite-specific phosphorylation eventsImportant post-translational modificationMost human proteinsCritical protein functionsPhosphorylation eventsProtein functionPhosphoproteomic studiesPhosphoproteomic analysisBioinformatics AdvancesHuman proteinsMass spectrometry technologyBioinformatics analysisLarge-scale quantificationExperimental workflowHigh-resolution mass spectrometry technologySpectrometry technologyPhosphoproteomicsPhosphorylationBiologyProteinSystems medicineSingle experiment
2022
Investigating Sources of Zeros in 10× Single-Cell RNAseq Data
Slowik H, Zyla J, Marczyk M. Investigating Sources of Zeros in 10× Single-Cell RNAseq Data. Lecture Notes In Computer Science 2022, 13347: 71-80. DOI: 10.1007/978-3-031-07802-6_6.Peer-Reviewed Original ResearchSingle-cell levelSingle-cell RNA sequencingSingle-cell RNAseq dataNumber of transcriptsMulti-omics dataGene expression estimatesRibosomal genesRNA sequencingExpression profilingEnrichment analysisRNAseq dataBiological pathwaysSequencing platformsExpression dataGenesExpression estimatesIndividual cellsBreast cancer cell linesCancer cell linesCell linesSingle experimentLow mappabilityTranscriptsSequencingProfiling
2018
Manifold learning-based methods for analyzing single-cell RNA-sequencing data
Moon K, Stanley J, Burkhardt D, van Dijk D, Wolf G, Krishnaswamy S. Manifold learning-based methods for analyzing single-cell RNA-sequencing data. Current Opinion In Systems Biology 2018, 7: 36-46. DOI: 10.1016/j.coisb.2017.12.008.Peer-Reviewed Original ResearchSingle-cell RNA-sequencing dataSingle-cell RNA sequencing technologyRNA sequencing technologyRNA-sequencing dataThousands of cellsGene regulationCellular statesPhenotypic diversityCellular developmentGene interactionsSequencing technologiesGene expressionSeq dataUnderlying biological signalManifold learning-based methodsSingle experimentBiological signalsRecent advancesDiversityDeeper insightRegulationExpression
2009
Guided Cell Migration on Microtextured Substrates with Variable Local Density and Anisotropy
Kim D, Seo C, Han K, Kwon K, Levchenko A, Suh K. Guided Cell Migration on Microtextured Substrates with Variable Local Density and Anisotropy. Advanced Functional Materials 2009, 19: 1579-1586. DOI: 10.1002/adfm.200801174.Peer-Reviewed Original ResearchVariable local densityCell culture substratesCell elongationCell-material interfaceCell shapeMigration of cellsCell migrationCell morphologyCulture substrateMicrotextured SubstratesAdvanced tissue engineeringCell orientationCellsSingle experimentUV-assisted capillary force lithographyTissue engineeringSubstrateMetastatic gene signatures and emerging novel prognostic tests in the management of early stage breast cancer
Tordai A, Liedtke C, Pusztai L. Metastatic gene signatures and emerging novel prognostic tests in the management of early stage breast cancer. Clinical & Experimental Metastasis 2009, 26: 625-632. PMID: 19381845, DOI: 10.1007/s10585-009-9261-z.Peer-Reviewed Original ResearchConceptsMetastatic gene signatureGene expression studiesGene expression profilingDistinct neoplastic diseasesExpression profilingDNA microarraysExpression studiesGene expressionMRNA transcriptsGene signatureSingle experimentNovel diagnostic assaysTranscriptsDiagnostic assaysNovel prognostic testsMicroarrayProfilingExpression
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