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Showing 1–9 of 9 results
Advanced filters: Author: Sanjay Srivatsan Clear advanced filters

  • Using spike-in controls with current single cell RNA-seq platforms remains a challenge. Here, the authors use a mixture of short, unmodified DNA oligos as a normalization standard for sci-RNAseq to improve the detection of global transcriptome changes.

    • Hyeon-Jin Kim
    • Greg Booth
    • Cole Trapnell
    ResearchOpen Access
    Nature Communications
    Volume: 13, P: 1-12

  • We present the ‘zebrafish single-cell atlas of perturbed embryos’, single-cell trancriptomic data of developing zebrafish embryos across various timepoints and with genetic perturbations.

    • Lauren M. Saunders
    • Sanjay R. Srivatsan
    • Cole Trapnell
    ResearchOpen Access
    Nature
    Volume: 623, P: 782-791

  • Integrative analysis of single-cell RNA-sequencing datasets across mouse gastrulation and organogenesis identifies cell states and trajectories at successive developmental stages, along with transcription factors that could potentially mediate lineage choices.

    • Chengxiang Qiu
    • Junyue Cao
    • Jay Shendure
    ResearchOpen Access
    Nature Genetics
    Volume: 54, P: 328-341

  • Longitudinal sampling is used to map the evolution of an HIV-1 virus from the time of infection, and the co-evolution of a broadly neutralizing antibody in the same infected patient; the findings have important implications for HIV vaccine development.

    • Hua-Xin Liao
    • Rebecca Lynch
    • Barton F. Haynes
    Research
    Nature
    Volume: 496, P: 469-476

  • Hamazaki, Yang et al. report that an early pulse of retinoic acid robustly induces human gastruloids with a neural tube, segmented somites and more advanced cell types than conventional gastruloids.

    • Nobuhiko Hamazaki
    • Wei Yang
    • Jay Shendure
    ResearchOpen Access
    Nature Cell Biology
    Volume: 26, P: 1790-1803

  • 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