Search Results - "Rapsomaniki, Maria"

Refine Results
  1. 1

    EasyFRAP-web: a web-based tool for the analysis of fluorescence recovery after photobleaching data by Koulouras, Grigorios, Panagopoulos, Andreas, Rapsomaniki, Maria A, Giakoumakis, Nickolaos N, Taraviras, Stavros, Lygerou, Zoi

    Published in Nucleic acids research (02-07-2018)
    “…Abstract Understanding protein dynamics is crucial in order to elucidate protein function and interactions. Advances in modern microscopy facilitate the…”
    Get full text
    Journal Article
  2. 2

    Spatial protein heterogeneity analysis in frozen tissues to evaluate tumor heterogeneity by Fomitcheva-Khartchenko, Anna, Rapsomaniki, Maria Anna, Sobottka, Bettina, Schraml, Peter, Kaigala, Govind V

    Published in PloS one (19-11-2021)
    “…A new workflow for protein-based tumor heterogeneity probing in tissues is here presented. Tumor heterogeneity is believed to be key for therapy failure and…”
    Get full text
    Journal Article
  3. 3
  4. 4

    Multi-step Loading of Human Minichromosome Maintenance Proteins in Live Human Cells by Symeonidou, Ioanna-Eleni, Kotsantis, Panagiotis, Roukos, Vassilis, Rapsomaniki, Maria-Anna, Grecco, Hernán E., Bastiaens, Philippe, Taraviras, Stavros, Lygerou, Zoi

    Published in The Journal of biological chemistry (13-12-2013)
    “…Once-per-cell cycle replication is regulated through the assembly onto chromatin of multisubunit protein complexes that license DNA for a further round of…”
    Get full text
    Journal Article
  5. 5

    Quantification of tumor heterogeneity: from data acquisition to metric generation by Kashyap, Aditya, Rapsomaniki, Maria Anna, Barros, Vesna, Fomitcheva-Khartchenko, Anna, Martinelli, Adriano Luca, Rodriguez, Antonio Foncubierta, Gabrani, Maria, Rosen-Zvi, Michal, Kaigala, Govind

    Published in Trends in biotechnology (Regular ed.) (01-06-2022)
    “…Tumors are unique and complex ecosystems, in which heterogeneous cell subpopulations with variable molecular profiles, aggressiveness, and proliferation…”
    Get full text
    Journal Article
  6. 6

    easyFRAP: an interactive, easy-to-use tool for qualitative and quantitative analysis of FRAP data by RAPSOMANIKI, Maria Anna, KOTSANTIS, Panagiotis, SYMEONIDOU, Loanna-Eleni, GIAKOUMAKIS, Nickolaos-Nikiforos, TARAVIRAS, Stavros, LYGEROU, Zoi

    Published in Bioinformatics (Oxford, England) (01-07-2012)
    “…We present easyFRAP, a versatile tool that assists quantitative and qualitative analysis of fluorescence recovery after photobleaching (FRAP) data. The user…”
    Get full text
    Journal Article
  7. 7

    CellCycleTRACER accounts for cell cycle and volume in mass cytometry data by Rapsomaniki, Maria Anna, Lun, Xiao-Kang, Woerner, Stefan, Laumanns, Marco, Bodenmiller, Bernd, Martínez, María Rodríguez

    Published in Nature communications (12-02-2018)
    “…Recent studies have shown that cell cycle and cell volume are confounding factors when studying biological phenomena in single cells. Here we present a…”
    Get full text
    Journal Article
  8. 8

    Analysis of Protein Kinetics Using Fluorescence Recovery After Photobleaching (FRAP) by Giakoumakis, Nickolaos Nikiforos, Rapsomaniki, Maria Anna, Lygerou, Zoi

    “…Fluorescence recovery after photobleaching (FRAP) is a cutting-edge live-cell functional imaging technique that enables the exploration of protein dynamics in…”
    Get more information
    Journal Article
  9. 9

    ScLinear predicts protein abundance at single-cell resolution by Hanhart, Daniel, Gossi, Federico, Rapsomaniki, Maria Anna, Kruithof-de Julio, Marianna, Chouvardas, Panagiotis

    Published in Communications biology (04-03-2024)
    “…Single-cell multi-omics have transformed biomedical research and present exciting machine learning opportunities. We present scLinear, a linear…”
    Get full text
    Journal Article
  10. 10

    scQUEST: Quantifying tumor ecosystem heterogeneity from mass or flow cytometry data by Martinelli, Adriano Luca, Wagner, Johanna, Bodenmiller, Bernd, Rapsomaniki, Maria Anna

    Published in STAR protocols (16-09-2022)
    “…With mass and flow cytometry, millions of single-cell profiles with dozens of parameters can be measured to comprehensively characterize complex tumor…”
    Get full text
    Journal Article
  11. 11

    Inference of protein kinetics by stochastic modeling and simulation of fluorescence recovery after photobleaching experiments by Rapsomaniki, Maria Anna, Cinquemani, Eugenio, Giakoumakis, Nickolaos Nikiforos, Kotsantis, Panagiotis, Lygeros, John, Lygerou, Zoi

    Published in Bioinformatics (01-02-2015)
    “…Fluorescence recovery after photobleaching (FRAP) is a functional live cell imaging technique that permits the exploration of protein dynamics in living cells…”
    Get full text
    Journal Article
  12. 12
  13. 13

    ATHENA: analysis of tumor heterogeneity from spatial omics measurements by Martinelli, Adriano Luca, Rapsomaniki, Maria Anna

    Published in Bioinformatics (26-05-2022)
    “…Abstract Summary Tumor heterogeneity has emerged as a fundamental property of most human cancers, with broad implications for diagnosis and treatment…”
    Get full text
    Journal Article
  14. 14

    Co-existence of phenylketonuria and Fabry disease on a 3 year-old boy: case report by Concolino, Daniela, Rapsomaniki, Maria, Disabella, Eliana, Sestito, Simona, Pascale, Maria G, Moricca, Maria T, Bonapace, Giuseppe, Arbustini, Elisea, Strisciuglio, Pietro

    Published in BMC pediatrics (17-05-2010)
    “…The co-existence of two genetically distinct metabolic disorders in the same patient has rarely been reported. Phenylketonuria (PKU) is an inborn error of the…”
    Get full text
    Journal Article
  15. 15
  16. 16

    Matching single cells across modalities with contrastive learning and optimal transport by Gossi, Federico, Pati, Pushpak, Chouvardas, Panagiotis, Martinelli, Adriano Luca, Kruithof-de Julio, Marianna, Rapsomaniki, Maria Anna

    Published in Briefings in bioinformatics (19-05-2023)
    “…Abstract Understanding the interactions between the biomolecules that govern cellular behaviors remains an emergent question in biology. Recent advances in…”
    Get full text
    Journal Article
  17. 17

    CK1δ restrains lipin-1 induction, lipid droplet formation and cell proliferation under hypoxia by reducing HIF-1α/ARNT complex formation by Kourti, Maria, Ikonomou, Georgia, Giakoumakis, Nikolaos-Nikiforos, Rapsomaniki, Maria Anna, Landegren, Ulf, Siniossoglou, Symeon, Lygerou, Zoi, Simos, George, Mylonis, Ilias

    Published in Cellular signalling (01-06-2015)
    “…Proliferation of cells under hypoxia is facilitated by metabolic adaptation, mediated by the transcriptional activator Hypoxia Inducible Factor-1 (HIF-1)…”
    Get full text
    Journal Article
  18. 18

    IPP Complex Reinforces Adhesion by Relaying Tension-Dependent Signals to Inhibit Integrin Turnover by Vakaloglou, Katerina M., Chrysanthis, Georgios, Rapsomaniki, Maria Anna, Lygerou, Zoi, Zervas, Christos G.

    Published in Cell reports (Cambridge) (22-03-2016)
    “…Cytoskeleton-mediated forces regulate the assembly and function of integrin adhesions; however, the underlying mechanisms remain unclear. The tripartite IPP…”
    Get full text
    Journal Article
  19. 19

    In silico analysis of DNA re-replication across a complete genome reveals cell-to-cell heterogeneity and genome plasticity by Rapsomaniki, Maria Anna, Maxouri, Stella, Nathanailidou, Patroula, Garrastacho, Manuel Ramirez, Giakoumakis, Nickolaos Nikiforos, Taraviras, Stavros, Lygeros, John, Lygerou, Zoi

    Published in NAR genomics and bioinformatics (01-03-2021)
    “…Abstract DNA replication is a complex and remarkably robust process: despite its inherent uncertainty, manifested through stochastic replication timing at a…”
    Get full text
    Journal Article
  20. 20

    Hybrid quantum-classical graph neural networks for tumor classification in digital pathology by Ray, Anupama, Madan, Dhiraj, Patil, Srushti, Rapsomaniki, Maria Anna, Pati, Pushpak

    Published 17-10-2023
    “…Advances in classical machine learning and single-cell technologies have paved the way to understand interactions between disease cells and tumor…”
    Get full text
    Journal Article