Featured Publications
A pathology atlas of the human cancer transcriptome
Uhlen M, Zhang C, Lee S, Sjöstedt E, Fagerberg L, Bidkhori G, Benfeitas R, Arif M, Liu Z, Edfors F, Sanli K, von Feilitzen K, Oksvold P, Lundberg E, Hober S, Nilsson P, Mattsson J, Schwenk J, Brunnström H, Glimelius B, Sjöblom T, Edqvist P, Djureinovic D, Micke P, Lindskog C, Mardinoglu A, Ponten F. A pathology atlas of the human cancer transcriptome. Science 2017, 357 PMID: 28818916, DOI: 10.1126/science.aan2507.Peer-Reviewed Original ResearchMeSH KeywordsAtlases as TopicGene Regulatory NetworksGenes, NeoplasmHumansNeoplasmsPrognosisTranscriptomeConceptsRegulation of genesGenome-scale metabolic modelProtein-coding genesGenome-wide transcriptomeHuman cancer transcriptomeGenome-wide explorationCellular differentiationIndividual proteinsCancer transcriptomeMolecular mechanismsMetabolic modelsCell growthGenesTranscriptomeOpen-access databaseSystem-level approachMajor cancer typesMetabolic heterogeneityPathology AtlasGeneral patternCancer typesRegulationShorter patient survivalIndividual tumorsProtein
2015
Tissue-based map of the human proteome
Uhlén M, Fagerberg L, Hallström B, Lindskog C, Oksvold P, Mardinoglu A, Sivertsson Å, Kampf C, Sjöstedt E, Asplund A, Olsson I, Edlund K, Lundberg E, Navani S, Szigyarto C, Odeberg J, Djureinovic D, Takanen J, Hober S, Alm T, Edqvist P, Berling H, Tegel H, Mulder J, Rockberg J, Nilsson P, Schwenk J, Hamsten M, von Feilitzen K, Forsberg M, Persson L, Johansson F, Zwahlen M, von Heijne G, Nielsen J, Pontén F. Tissue-based map of the human proteome. Science 2015, 347: 1260419. PMID: 25613900, DOI: 10.1126/science.1260419.Peer-Reviewed Original ResearchConceptsPutative protein-coding genesHuman tissue proteomesProtein-coding genesInteractive web-based databaseIntegrated omics approachDifferent tissuesGlobal expression patternsSingle-cell levelMembrane proteomeProteome variationDruggable proteomeOmics approachesHuman proteomeHuman secretomeMolecular detailsIndividual proteinsQuantitative transcriptomicsCancer proteomeTissue proteomeProteomeExpression patternsHuman biologyMetabolic functionsTissue microarray-based immunohistochemistryMajor tissues
2013
A systematic analysis of commonly used antibodies in cancer diagnostics
Gremel G, Bergman J, Djureinovic D, Edqvist P, Maindad V, Bharambe B, Khan W, Navani S, Elebro J, Jirström K, Hellberg D, Uhlén M, Micke P, Pontén F. A systematic analysis of commonly used antibodies in cancer diagnostics. Histopathology 2013, 64: 293-305. PMID: 24330150, DOI: 10.1111/his.12255.Peer-Reviewed Original ResearchMeSH KeywordsAntibodiesBiomarkers, TumorHumansImmunohistochemistryNeoplasmsSensitivity and SpecificityConceptsDifferential diagnosticsCancer typesBenefit of immunohistochemistryTissue microarray cohortProstate-specific antigenEvidence-based dataCombination of antibodiesNumber of antibodiesMicroarray cohortMetastatic lesionsPrimary tumorClinical ImmunohistochemistryNovel markerImmunohistochemistryTumor samplesAntibodiesTumorsDiagnostic powerConsecutive sectionsDiagnostic antibodiesDifferent organsPresent studyPivotal roleCancer diagnosticsOptimal use