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Showing 1–7 of 7 results
Advanced filters: Author: Brian Daza Clear advanced filters

  • Laszlo et al. demonstrate sequence alignment, and proof-of-concept organism identification, genome assembly and polymorphism detection from nanopore analysis of natural DNA.

    • Andrew H Laszlo
    • Ian M Derrington
    • Jens H Gundlach
    Research
    Nature Biotechnology
    Volume: 32, P: 829-833

  • Highly localized mechanical forces that shape in vivo tissue development remain challenging to recapitulate in vitro. Here the authors use magnetically actuated nanoparticles to generate spatially defined forces within organoids, which guide the spatial organization of tissue patterning and growth.

    • Abdel Rahman Abdel Fattah
    • Niko Kolaitis
    • Adrian Ranga
    ResearchOpen Access
    Nature Communications
    Volume: 14, P: 1-14

  • Mechanical forces, along with gene regulatory networks and cell-cell signalling, play an important role in the complex organization of tissues. Here the authors describe devices that actively apply mechanical force to developing neural tube, demonstrating that mechanical forces increase growth and enhance patterning.

    • Abdel Rahman Abdel Fattah
    • Brian Daza
    • Adrian Ranga
    ResearchOpen Access
    Nature Communications
    Volume: 12, P: 1-13

  • An international consortium reports the genomic sequence for ten Drosophila species, and compares them to two other previously published Drosophila species. These data are invaluable for drawing evolutionary conclusions across an entire phylogeny of species at once.

    • Andrew G. Clark
    • Michael B. Eisen
    • Iain MacCallum
    Research
    Nature
    Volume: 450, P: 203-218

  • The genome of the grey short-tailed opossum Monodelphis domestica has been sequenced and analyzed, giving a first peek at a marsupial's genetic code. Of particular interest are the genetics of the immune system, which has been studied as a model for humans, and of the X chromosome for historical reasons.

    • Tarjei S. Mikkelsen
    • Matthew J. Wakefield
    • Kerstin Lindblad-Toh
    Research
    Nature
    Volume: 447, P: 167-177

  • This protocol presents an optimized version of the single-cell combinatorial indexing RNA sequencing protocol that is faster, less expensive and suitable for profiling tissues rich in RNases, as well as a ‘Tiny-Sci’ protocol for limited input samples.

    • Beth K. Martin
    • Chengxiang Qiu
    • Jay Shendure
    Protocols
    Nature Protocols
    Volume: 18, P: 188-207