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Showing 1–13 of 13 results
Advanced filters: Author: Varun Venkataramani Clear advanced filters

  • In this Tools of the Trade article, Venkataramani describes the development of in vivo imaging workflows that allow the acquisition of imaging data with improved signal-to-noise matched to single-cell RNA-sequencing data.

    • Varun Venkataramani
    Research Highlights
    Nature Reviews Cancer
    Volume: 22, P: 662

  • Optical microscopy allows neural cells to be studied in the intact brain, but imaging deep neural tissue presents substantial challenges. Prevedel and colleagues outline the principles of three-photon microscopy, highlighting its advantages for deep tissue imaging and its applications in neuroscience.

    • Robert Prevedel
    • Júlia Ferrer Ortas
    • Varun Venkataramani
    Reviews
    Nature Reviews Neuroscience
    Volume: 26, P: 521-537

  • Observation of glioblastoma invasion in subcortical brain regions is challenging. Here the authors develop a Deep3P workflow to enable longitudinal deep imaging of glioblastoma and its microenvironment by combining three-photon microscopy and deep learning-based analysis, unraveling the invasion routes of these tumor cells into and within the white matter.

    • Marc Cicero Schubert
    • Stella Judith Soyka
    • Varun Venkataramani
    ResearchOpen Access
    Nature Communications
    Volume: 15, P: 1-21

  • A population of highly interconnected cells in glioblastoma makes these tumours resistant to general damage but vulnerable to targeted disruption of this small fraction of cells and their rhythmic Ca2+ oscillations.

    • David Hausmann
    • Dirk C. Hoffmann
    • Frank Winkler
    Research
    Nature
    Volume: 613, P: 179-186

  • This Perspective discusses the role of multicellular tumour networks, formed by tumour microtubes and tunnelling nanotubes, in brain tumours. It also discusses their relevance to therapy resistance and how these networks might be therapeutically targeted, and their potential relevance in other cancer types.

    • Varun Venkataramani
    • Matthias Schneider
    • Frank Winkler
    Reviews
    Nature Reviews Cancer
    Volume: 22, P: 481-491

  • SuReSim software simulates single-molecule localization microscopy data for structures with known ground truth models to facilitate proper design, interpretation and validation of super-resolution imaging experiments.

    • Varun Venkataramani
    • Frank Herrmannsdörfer
    • Thomas Kuner
    Research
    Nature Methods
    Volume: 13, P: 319-321

  • In glioblastoma (GBM), tumour microtubes (TM) connect tumour cells to a broader cellular network, with roles in tumour progression and therapy resistance. Here, the authors combine a dye uptake method in GBM xenograft models with subsequent scRNA-seq to infer a TM connectivity signature, finding CHI3L1 as a marker of connectivity.

    • Ling Hai
    • Dirk C. Hoffmann
    • Tobias Kessler
    ResearchOpen Access
    Nature Communications
    Volume: 15, P: 1-29

  • Super-resolution imaging of multiple target proteins in the same sample can provide important information of cellular nanostructure, but has not been routinely achieved. Here, the authors present a fully automated 3D STORM approach using a re-staining protocol to image 15 targets in single cells and 16 targets in neuronal tissue.

    • Maja Klevanski
    • Frank Herrmannsdoerfer
    • Thomas Kuner
    ResearchOpen Access
    Nature Communications
    Volume: 11, P: 1-11

  • Brain tumours are difficult to treat because of their propensity to infiltrate brain tissue; here long processes, or tumour microtubes, extended by astrocytomas are shown to promote brain infiltration and to create an interconnected network that enables multicellular communication and that protects the tumours from radiotherapy-induced cell death, suggesting that disruption of the network could be a new therapeutic approach.

    • Matthias Osswald
    • Erik Jung
    • Frank Winkler
    Research
    Nature
    Volume: 528, P: 93-98