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Showing 1–8 of 8 results
Advanced filters: Author: John R. Sedor Clear advanced filters
  • Genome-wide association studies have advanced our understanding of the genetic basis for common renal diseases. The ability to establish these associations raises the question of whether these discoveries offer help to patients with (or at risk of) renal disease. Here, Drawz and Sedor describe recent discoveries in relation to the genetic associations underlying common kidney disease and related disorders, and discuss the issues and challenges of translating these data into the clinic.

    • Paul E. Drawz
    • John R. Sedor
    Reviews
    Nature Reviews Nephrology
    Volume: 7, P: 458-468
  • A high-resolution kidney cellular atlas of 51 main cell types, including rare and previously undescribed cell populations, represents a comprehensive benchmark of cellular states, neighbourhoods, outcome-associated signatures and publicly available interactive visualizations.

    • Blue B. Lake
    • Rajasree Menon
    • Sanjay Jain
    ResearchOpen Access
    Nature
    Volume: 619, P: 585-594
  • Comprehensive integration of gene expression with epigenetic features is needed to understand the transition of kidney cells from health to injury. Here, the authors integrate dual single nucleus RNA expression and chromatin accessibility, DNA methylation, and histone modifications to decipher the chromatin landscape of the kidney in reference and adaptive injury cell states, identifying a transcription factor network of ELF3, KLF6, and KLF10 which regulates adaptive repair and maladaptive failed repair.

    • Debora L. Gisch
    • Michelle Brennan
    • Michael T. Eadon
    ResearchOpen Access
    Nature Communications
    Volume: 15, P: 1-21
  • Linda Kao and colleagues use admixture mapping to identify risk variants in MYH9 associated with nondiabetic end-stage renal disease in African Americans. The risk variants are more common in populations with West African ancestry and contribute to the excess burden of end-stage kidney diseases in these populations. A similar finding is reported in an accompanying paper by Cheryl Winkler and colleagues.

    • W H Linda Kao
    • Michael J Klag
    • Rulan S Parekh
    Research
    Nature Genetics
    Volume: 40, P: 1185-1192
  • Tissue cytometry is a promising new microscopy technique that can be used to enumerate and characterize each cell in a tissue. Here the authors describe a complete and accessible pipeline, including methods of sample preparation, microscopy, image analysis, and data analysis for large-scale three-dimensional tissue cytometry of human kidney tissues.

    • Michael J. Ferkowicz
    • Seth Winfree
    • Francis Perry Wilson
    Research
    Laboratory Investigation
    Volume: 101, P: 661-676