C-MORE: A high-content single-cell morphology recognition methodology for liquid biopsies toward personalized cardiovascular medicine

[1]  M. Knoll,et al.  Impaired in vitro growth response of plasma-treated cardiomyocytes predicts poor outcome in patients with transthyretin amyloidosis , 2021, Clinical Research in Cardiology.

[2]  D. Kass,et al.  Cellular and molecular pathobiology of heart failure with preserved ejection fraction , 2021, Nature Reviews Cardiology.

[3]  Catherine L. Worth,et al.  Cells of the adult human heart , 2020, Nature.

[4]  J. Tchinda,et al.  Phenotypic profiling with a living biobank of primary rhabdomyosarcoma unravels disease heterogeneity and AKT sensitivity , 2020, Nature Communications.

[5]  Steve B. Jiang,et al.  Deep Learning Identifies Cardiomyocyte Nuclei in Murine Tissue with High Precision , 2020, bioRxiv.

[6]  Jyoti Rao,et al.  SarcTrack , 2019, Circulation research.

[7]  P. Ponikowski,et al.  The year in cardiology 2018: heart failure , 2019, European heart journal.

[8]  Wesley L. McKeithan,et al.  A Premature Termination Codon Mutation in MYBPC3 Causes Hypertrophic Cardiomyopathy via Chronic Activation of Nonsense-Mediated Decay , 2019, Circulation.

[9]  A. Plowright,et al.  High-content phenotypic assay for proliferation of human iPSC-derived cardiomyocytes identifies L-type calcium channels as targets. , 2019, Journal of molecular and cellular cardiology.

[10]  Catherine Z. Chen,et al.  Advancing precision medicine with personalized drug screening. , 2019, Drug discovery today.

[11]  C. Mummery.  Perspectives on the Use of Human Induced Pluripotent Stem Cell-Derived Cardiomyocytes in Biomedical Research , 2018, Stem cell reports.

[12]  J. Sadoshima,et al.  Mechanisms of physiological and pathological cardiac hypertrophy , 2018, Nature Reviews Cardiology.

[13]  Anne E Carpenter,et al.  Repurposing High-Throughput Image Assays Enables Biological Activity Prediction for Drug Discovery. , 2018, Cell chemical biology.

[14]  Leland McInnes,et al.  UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction , 2018, ArXiv.

[15]  Philip M. Tan,et al.  High content analysis identifies unique morphological features of reprogrammed cardiomyocytes , 2018, Scientific Reports.

[16]  Giulio Superti-Furga,et al.  Image-based ex-vivo drug screening for patients with aggressive haematological malignancies: interim results from a single-arm, open-label, pilot study , 2017, The Lancet. Haematology.

[17]  R. Seruca,et al.  Blue intensity matters for cell cycle profiling in fluorescence DAPI-stained images , 2017, Laboratory Investigation.

[18]  Sheng Yang Michael Loh,et al.  Large‐scale image‐based screening and profiling of cellular phenotypes , 2017, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

[19]  K. Coulombe,et al.  Hypertrophy Changes 3D Shape of hiPSC-Cardiomyocytes: Implications for Cellular Maturation in Regenerative Medicine , 2016, Cellular and Molecular Bioengineering.

[20]  T. Minamino,et al.  Physiological and pathological cardiac hypertrophy. , 2016, Journal of molecular and cellular cardiology.

[21]  Shannon M. Mumenthaler,et al.  A high-content image-based method for quantitatively studying context-dependent cell population dynamics , 2016, Scientific Reports.

[22]  L. Leinwand,et al.  Biology of the cardiac myocyte in heart disease , 2016, Molecular biology of the cell.

[23]  W. Pu,et al.  Recounting Cardiac Cellular Composition. , 2016, Circulation research.

[24]  M. Boutros,et al.  Microscopy-Based High-Content Screening , 2015, Cell.

[25]  Wolfgang Huber,et al.  A chemical–genetic interaction map of small molecules using high‐throughput imaging in cancer cells , 2015, Molecular systems biology.

[26]  B. Iung,et al.  The modern epidemiology of heart valve disease , 2015, Heart.

[27]  Joseph A. Hill,et al.  Inhibition of hypertrophy is a good therapeutic strategy in ventricular pressure overload. , 2015, Circulation.

[28]  Vassilios J. Bezzerides,et al.  Phenotypic screen quantifying differential regulation of cardiac myocyte hypertrophy identifies CITED4 regulation of myocyte elongation. , 2014, Journal of molecular and cellular cardiology.

[29]  D. Bates,et al.  Fitting Linear Mixed-Effects Models Using lme4 , 2014, 1406.5823.

[30]  Mark A Sussman,et al.  Abstract 12112: Fibronectin Contributes to Pathological Cardiac Hypertrophy but not Physiological Growth , 2013 .

[31]  A. Frustaci,et al.  Contribution and Risks of Left Ventricular Endomyocardial Biopsy in Patients With Cardiomyopathies: A Retrospective Study Over a 28-Year Period , 2013, Circulation.

[32]  S. Houser,et al.  CaMKII Negatively Regulates Calcineurin–NFAT Signaling in Cardiac Myocytes , 2009, Circulation research.

[33]  Lani F. Wu,et al.  Characterizing heterogeneous cellular responses to perturbations , 2008, Proceedings of the National Academy of Sciences.

[34]  C. Bakal,et al.  Quantitative Morphological Signatures Define Local Signaling Networks Regulating Cell Morphology , 2007, Science.

[35]  Anne E Carpenter,et al.  CellProfiler: image analysis software for identifying and quantifying cell phenotypes , 2006, Genome Biology.

[36]  J. Molkentin,et al.  Regulation of cardiac hypertrophy by intracellular signalling pathways , 2006, Nature Reviews Molecular Cell Biology.

[37]  J. Molkentin,et al.  Direct and Indirect Interactions between Calcineurin-NFAT and MEK1-Extracellular Signal-Regulated Kinase 1/2 Signaling Pathways Regulate Cardiac Gene Expression and Cellular Growth , 2005, Molecular and Cellular Biology.

[38]  J. Molkentin,et al.  Calcium-calcineurin signaling in the regulation of cardiac hypertrophy. , 2004, Biochemical and biophysical research communications.

[39]  J. Schaper,et al.  Progression From Compensated Hypertrophy to Failure in the Pressure-Overloaded Human Heart: Structural Deterioration and Compensatory Mechanisms , 2003, Circulation.

[40]  P. Doevendans,et al.  Requirement of Nuclear Factor of Activated T-cells in Calcineurin-mediated Cardiomyocyte Hypertrophy* , 2002, The Journal of Biological Chemistry.

[41]  W. Zhu,et al.  A calcineurin-dependent transcriptional pathway controls skeletal muscle fiber type. , 1998, Genes & development.

[42]  Z. Darżynkiewicz,et al.  DNA Content Measurement for DNA Ploidy and Cell Cycle Analysis , 1997, Current protocols in cytometry.

[43]  I. Kovesdi,et al.  Adenovirus infection stimulates the Raf/MAPK signaling pathway and induces interleukin-8 expression , 1997, Journal of virology.

[44]  Robert M. Haralick,et al.  Textural Features for Image Classification , 1973, IEEE Trans. Syst. Man Cybern..

[45]  Timothy J. Nelson,et al.  Addressing Variability and Heterogeneity of Induced Pluripotent Stem Cell-Derived Cardiomyocytes. , 2019, Advances in experimental medicine and biology.

[46]  Y. Kluger,et al.  Efficient Algorithms for t-distributed Stochastic Neighborhood Embedding , 2017, ArXiv.

[47]  T. Thum,et al.  A phenotypic screen to identify hypertrophy-modulating microRNAs in primary cardiomyocytes. , 2012, Journal of molecular and cellular cardiology.

[48]  C. Bakal,et al.  Molecular Systems Biology Peer Review Process File Cell Shape and the Microenvironment Regulate Nuclear Translocation of Nf-κ B in Breast Epithelial and Tumor Cells Transaction Report , 2022 .