Featured Publications
Subcellular progression of mesenchymal transition identified by two discrete synchronous cell lines derived from the same glioblastoma
Kim S, Park S, Chowdhury T, Hong J, Ahn J, Jeong T, Yu H, Shin Y, Ku J, Park J, Hur J, Lee H, Kim K, Park C. Subcellular progression of mesenchymal transition identified by two discrete synchronous cell lines derived from the same glioblastoma. Cellular And Molecular Life Sciences 2022, 79: 181. PMID: 35278143, PMCID: PMC8918182, DOI: 10.1007/s00018-022-04188-3.Peer-Reviewed Original ResearchConceptsMesenchymal transitionCell linesAvailable single-cell RNA-seq dataMesenchymal transition (EMT) processCancer cell linesSame tissue samplesTherapeutic implicationsTumor samplesRecurrent samplesDriver mutationsGlioblastomaTissue samplesDistinct cancer cell linesGBM samplesIntratumoral heterogeneityTranscriptomic characteristics
2023
TMIC-20. A SPATIALLY RESOLVED HUMAN GLIOBLASTOMA ATLAS REVEALS DISTINCT CELLULAR AND MOLECULAR PATTERNS OF ANATOMICAL NICHES
Shah N, Park H, Sonpatki P, Han K, Yu H, Kim S, Chowdhury T, Byun Y, Kang H, Lee J, Lee S, Won J, Kim T, Choi S, Shin Y, Ku J, Lee S, Yun H, Park S, Park C, Park W. TMIC-20. A SPATIALLY RESOLVED HUMAN GLIOBLASTOMA ATLAS REVEALS DISTINCT CELLULAR AND MOLECULAR PATTERNS OF ANATOMICAL NICHES. Neuro-Oncology 2023, 25: v282-v282. PMCID: PMC10639919, DOI: 10.1093/neuonc/noad179.1086.Peer-Reviewed Original ResearchCellular componentsBulk RNA-seq dataAnatomical nichesSingle-cell atlasSingle-cell RNARNA-seq dataMulti-omics profilingDifferent cellular componentsInteraction networksSpatial transcriptomeCellular heterogeneitySpatial interaction networkDistinct cellularMolecular patternsCellular architectureNicheUnrecognized subtypesSpatial organizationAbstract GlioblastomaValuable resourceGlioma samplesStromal cellsEffective combinatorial therapiesComprehensive insightGlioblastomaPatient-derived glioblastoma cell lines with conserved genome profiles of the original tissue
Kim S, Cho Y, Shin Y, Yu H, Chowdhury T, Kim S, Yi K, Choi C, Cha S, Park C, Ku J. Patient-derived glioblastoma cell lines with conserved genome profiles of the original tissue. Scientific Data 2023, 10: 448. PMID: 37438387, PMCID: PMC10338444, DOI: 10.1038/s41597-023-02365-y.Peer-Reviewed Original ResearchConceptsCell linesPatient-derived glioblastoma cell linesPatient-derived cell linesWhole exome sequencing datasetsExome sequencing datasetsGBM cell linesGlioblastoma cell linesSequence dataGenomic featuresLethal intracranial tumorSequencing technologiesSequencing datasetsMolecular markersWES datasetsGenome profilesMutational signaturesDruggable targetsNumber alterationsBiological credibilityGenomic profilesBiological platformMolecular characteristicsOriginal tissueTumor tissueGlioblastoma
2020
Inhibition of MUC1 exerts cell-cycle arrest and telomerase suppression in glioblastoma cells
Kim S, Seo Y, Chowdhury T, Yu H, Lee C, Kim K, Kang H, Kim H, Park S, Kim K, Park C. Inhibition of MUC1 exerts cell-cycle arrest and telomerase suppression in glioblastoma cells. Scientific Reports 2020, 10: 18238. PMID: 33106534, PMCID: PMC7589558, DOI: 10.1038/s41598-020-75457-z.Peer-Reviewed Original ResearchConceptsRole of MUC1Epithelial-mesenchymal transitionMucin 1Cell cycle arrestMUC1 knockdownNormal brain tissueExpression levelsGrowth factor betaTERT expression levelsGBM cell linesOverall survivalTherapeutic targetOncological processHuman gliomasBrain tissueFactor betaMesenchymal transitionPhosphorylation of RB1Diverse cancersGlioblastomaTelomere maintenance mechanismAnticancer mechanismCell proliferationCycle arrestGlioblastoma cells