2025
Unveiling fine-scale spatial structures and amplifying gene expression signals in ultra-large ST slices with HERGAST
Gong Y, Yuan X, Jiao Q, Yu Z. Unveiling fine-scale spatial structures and amplifying gene expression signals in ultra-large ST slices with HERGAST. Nature Communications 2025, 16: 3977. PMID: 40295488, PMCID: PMC12037780, DOI: 10.1038/s41467-025-59139-w.Peer-Reviewed Original ResearchConceptsGene expression signalsSpatial transcriptomics data analysisExpression signalsTranscriptome data analysisHeterogeneous graph networkReal-world datasetsSpatial expression patternsOver-smoothing problemSpatial transcriptomics dataGlobal spatial relationshipsST data analysisTranscriptome dataUltra-large-scaleConquer strategyExpression patternsGraph networkData splittingGenes
2024
HEARTSVG: a fast and accurate method for identifying spatially variable genes in large-scale spatial transcriptomics
Yuan X, Ma Y, Gao R, Cui S, Wang Y, Fa B, Ma S, Wei T, Ma S, Yu Z. HEARTSVG: a fast and accurate method for identifying spatially variable genes in large-scale spatial transcriptomics. Nature Communications 2024, 15: 5700. PMID: 38972896, PMCID: PMC11228050, DOI: 10.1038/s41467-024-49846-1.Peer-Reviewed Original ResearchConceptsSpatially variable genesVariable genesSpatial expression patternsSpatial transcriptomics technologiesSpatial transcriptomics researchTranscriptome researchTranscriptomic technologiesBiological functionsExpression patternsSpatial transcriptomicsGenesState-of-the-art methodsColorectal cancer data
2013
Analysis of the Human Tissue-specific Expression by Genome-wide Integration of Transcriptomics and Antibody-based Proteomics*
Fagerberg L, Hallström B, Oksvold P, Kampf C, Djureinovic D, Odeberg J, Habuka M, Tahmasebpoor S, Danielsson A, Edlund K, Asplund A, Sjöstedt E, Lundberg E, Szigyarto C, Skogs M, Takanen J, Berling H, Tegel H, Mulder J, Nilsson P, Schwenk J, Lindskog C, Danielsson F, Mardinoglu A, Sivertsson Å, von Feilitzen K, Forsberg M, Zwahlen M, Olsson I, Navani S, Huss M, Nielsen J, Ponten F, Uhlén M. Analysis of the Human Tissue-specific Expression by Genome-wide Integration of Transcriptomics and Antibody-based Proteomics*. Molecular & Cellular Proteomics 2013, 13: 397-406. PMID: 24309898, PMCID: PMC3916642, DOI: 10.1074/mcp.m113.035600.Peer-Reviewed Original ResearchConceptsHuman protein-coding genesProtein-coding genesSpatial expression patternsTissue-specific expressionExpression patternsGenome-wide integrationIndividual gene levelAntibody-based profilingQuantitative transcriptomic analysisProtein expression dataHuman Protein AtlasMajor human organsTranscriptomic analysisHuman proteinsExpression mapProtein AtlasGene levelExpression dataHuman biologyProtein analysisGenesMolecular constituentsSame tissueRNAExpression
2005
CCM2 Expression Parallels That of CCM1
Seker A, Pricola KL, Guclu B, Ozturk AK, Louvi A, Gunel M. CCM2 Expression Parallels That of CCM1. Stroke 2005, 37: 518-523. PMID: 16373645, DOI: 10.1161/01.str.0000198835.49387.25.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsBlotting, WesternBrainCarrier ProteinsCells, CulturedCentral Nervous SystemCerebral CortexChlorocebus aethiopsCOS CellsEndothelium, VascularHumansImmunohistochemistryIn Situ HybridizationKRIT1 ProteinMiceMicrotubule-Associated ProteinsMuscle, SmoothMutationNeuronsPhenotypeProto-Oncogene ProteinsRNA, MessengerSignal TransductionTime FactorsTwo-Hybrid System TechniquesUmbilical VeinsConceptsCerebral cavernous malformationsProtein expressionExtracerebral tissuesFamilial cerebral cavernous malformationsArterial vascular endotheliumPostnatal mouse brainSmooth muscle cellsVascular wall elementsWestern blot analysisExpression patternsPyramidal neuronsVenous circulationCerebral tissueNeurovascular diseasesCavernous malformationsImmunohistochemical analysisVascular endotheliumMouse brainMRNA expressionMuscle cellsFoot processesEpithelial cellsExpression parallelsDisease phenotypeSpatial expression patterns
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