Advanced search

Filter By:

Journal Check one or more journals to show results from those journals only.

Choose more journals

Article type Check one or more article types to show results from those article types only.
Subject Check one or more subjects to show results from those subjects only.
Date Choose a date option to show results from those dates only.

Custom date range

Clear all filters
Sort by:
Showing 1–11 of 11 results
Advanced filters: Author: Jim Karkanias Clear advanced filters

  • Together with a companion paper, the generation of a transcriptomic atlas for the mouse lemur and analyses of example cell types establish this animal as a molecularly tractable primate model organism.

    • Antoine de Morree
    • Iwijn De Vlaminck
    • Mark A. Krasnow
    ResearchOpen Access
    Nature
    Volume: 644, P: 173-184

  • Together with an accompanying paper presenting a transcriptomic atlas of the mouse lemur, interrogation of the atlas provides a rich body of data to support the use of the organism as a model for primate biology and health.

    • Camille Ezran
    • Shixuan Liu
    • Mark A. Krasnow
    ResearchOpen Access
    Nature
    Volume: 644, P: 185-196

  • Bulk RNA sequencing of organs and plasma proteomics at different ages across the mouse lifespan is integrated with data from the Tabula Muris Senis, a transcriptomic atlas of ageing mouse tissues, to describe organ-specific changes in gene expression during ageing.

    • Nicholas Schaum
    • Benoit Lehallier
    • Tony Wyss-Coray
    Research
    Nature
    Volume: 583, P: 596-602

  • A transcriptomics study demonstrates cell-type-specific responses to differentially aged blood and shows young blood to have restorative and rejuvenating effects that may be invoked through enhanced mitochondrial function.

    • Róbert Pálovics
    • Andreas Keller
    • Tony Wyss-Coray
    Research
    Nature
    Volume: 603, P: 309-314

  • Classifying cells into unseen cell types remains challenging in scRNA-seq analysis. Here we show that Cell Ontology enables an accurate classification of unseen cell types through considering the cell type relationships in the Cell Ontology graph.

    • Sheng Wang
    • Angela Oliveira Pisco
    • Russ B. Altman
    ResearchOpen Access
    Nature Communications
    Volume: 12, P: 1-11

  • Endocrinologists have traditionally focused on studying one hormone or organ system at a time. Here the authors use transcriptomic data from the mouse lemur to globally characterize primate hormonal signaling, describing hormone sources and targets, identifying conserved and primate specific regulation, and elucidating principles of the network.

    • Shixuan Liu
    • Camille Ezran
    • James E. Ferrell Jr.
    ResearchOpen Access
    Nature Communications
    Volume: 15, P: 1-27