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Research Highlights in 2020

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  • High-density microelectrode arrays with dual-mode capabilities can ‘image’ electrical activity in neuronal cultures or slice preparations.

    • Nina Vogt
    Research Highlight
  • RNA timestamps are molecular recorders that enable one to infer the age of an RNA molecule and record transcriptional activity in a temporal manner.

    • Lei Tang
    Research Highlight
  • Technological advances push the limits of single-particle cryo-EM to achieve atomic resolution.

    • Rita Strack
    Research Highlight
  • X-ray holographic nano-tomography is a promising complement to electron microscopy for connectomics studies.

    • Nina Vogt
    Research Highlight
  • Fluorescent proteins can bind amyloid fibrils formed from natural peptides and proteins.

    • Rita Strack
    Research Highlight
  • An integrative modeling framework enables cross-validation of existing E. coli datasets and prediction of uncharacterized parameters.

    • Lei Tang
    Research Highlight
  • A machine learning model uses autofluorescence of key metabolites to predict T cell activation state.

    • Madhura Mukhopadhyay
    Research Highlight
  • BRICseq provides access to brain-wide connectivity and can be combined with functional and transcriptomic studies for a comprehensive view of neuronal circuitry.

    • Nina Vogt
    Research Highlight
  • Tethering fluorescent proteins to ribosomes clears up background signals when imaging neural circuits.

    • Nina Vogt
    Research Highlight
  • Intravital three-dimensional bioprinting enables the biofabrication of constructs in a pre-existing 3D matrix, such as inside tissues of live animals.

    • Lei Tang
    Research Highlight
  • RIC-seq enables in situ mapping of intra- and intermolecular RNA–RNA interactions.

    • Lin Tang
    Research Highlight
  • barRNAseq allows detailed explorations of signaling pathways that control embryonic differentiation.

    • Madhura Mukhopadhyay
    Research Highlight

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