Go to JCI Insight
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Publication alerts by email
  • Advertising
  • Job board
  • Contact
  • Clinical Research and Public Health
  • Current issue
  • Past issues
  • By specialty
    • COVID-19
    • Cardiology
    • Gastroenterology
    • Immunology
    • Metabolism
    • Nephrology
    • Neuroscience
    • Oncology
    • Pulmonology
    • Vascular biology
    • All ...
  • Videos
    • ASCI Milestone Awards
    • Video Abstracts
    • Conversations with Giants in Medicine
  • Reviews
    • View all reviews ...
    • Clinical innovation and scientific progress in GLP-1 medicine (Nov 2025)
    • Pancreatic Cancer (Jul 2025)
    • Complement Biology and Therapeutics (May 2025)
    • Evolving insights into MASLD and MASH pathogenesis and treatment (Apr 2025)
    • Microbiome in Health and Disease (Feb 2025)
    • Substance Use Disorders (Oct 2024)
    • Clonal Hematopoiesis (Oct 2024)
    • View all review series ...
  • Viewpoint
  • Collections
    • In-Press Preview
    • Clinical Research and Public Health
    • Research Letters
    • Letters to the Editor
    • Editorials
    • Commentaries
    • Editor's notes
    • Reviews
    • Viewpoints
    • 100th anniversary
    • Top read articles

  • Current issue
  • Past issues
  • Specialties
  • Reviews
  • Review series
  • ASCI Milestone Awards
  • Video Abstracts
  • Conversations with Giants in Medicine
  • In-Press Preview
  • Clinical Research and Public Health
  • Research Letters
  • Letters to the Editor
  • Editorials
  • Commentaries
  • Editor's notes
  • Reviews
  • Viewpoints
  • 100th anniversary
  • Top read articles
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Publication alerts by email
  • Advertising
  • Job board
  • Contact
Cell-specific translational profiling in acute kidney injury
Jing Liu, A. Michaela Krautzberger, Shannan H. Sui, Oliver M. Hofmann, Ying Chen, Manfred Baetscher, Ivica Grgic, Sanjeev Kumar, Benjamin Humphreys, Winston A. Hide, Andrew P. McMahon
Jing Liu, A. Michaela Krautzberger, Shannan H. Sui, Oliver M. Hofmann, Ying Chen, Manfred Baetscher, Ivica Grgic, Sanjeev Kumar, Benjamin Humphreys, Winston A. Hide, Andrew P. McMahon
View: Text | PDF | Corrigendum
Technical Advance Nephrology

Cell-specific translational profiling in acute kidney injury

  • Text
  • PDF
Abstract

Acute kidney injury (AKI) promotes an abrupt loss of kidney function that results in substantial morbidity and mortality. Considerable effort has gone toward identification of diagnostic biomarkers and analysis of AKI-associated molecular events; however, most studies have adopted organ-wide approaches and have not elucidated the interplay among different cell types involved in AKI pathophysiology. To better characterize AKI-associated molecular and cellular events, we developed a mouse line that enables the identification of translational profiles in specific cell types. This strategy relies on CRE recombinase–dependent activation of an EGFP-tagged L10a ribosomal protein subunit, which allows translating ribosome affinity purification (TRAP) of mRNA populations in CRE-expressing cells. Combining this mouse line with cell type–specific CRE-driver lines, we identified distinct cellular responses in an ischemia reperfusion injury (IRI) model of AKI. Twenty-four hours following IRI, distinct translational signatures were identified in the nephron, kidney interstitial cell populations, vascular endothelium, and macrophages/monocytes. Furthermore, TRAP captured known IRI-associated markers, validating this approach. Biological function annotation, canonical pathway analysis, and in situ analysis of identified response genes provided insight into cell-specific injury signatures. Our study provides a deep, cell-based view of early injury-associated molecular events in AKI and documents a versatile, genetic tool to monitor cell-specific and temporal-specific biological processes in disease modeling.

Authors

Jing Liu, A. Michaela Krautzberger, Shannan H. Sui, Oliver M. Hofmann, Ying Chen, Manfred Baetscher, Ivica Grgic, Sanjeev Kumar, Benjamin Humphreys, Winston A. Hide, Andrew P. McMahon

×

Figure 4

Cell type–specific IRI responses identified through TRAP analysis.

Options: View larger image (or click on image) Download as PowerPoint
Cell type–specific IRI responses identified through TRAP analysis.
(A) H...
(A) Heat map showing hierarchical clustering of 3,180 DE genes identified from at least 1 of the 4 Cre-L10a populations 24 hours after IRI compared with sham treatment. Genes with a probe intensity of more than 500 and log2 fold change of more than 1 or less than –1 were included. Total RNA microarray data from mice heterozygous for the L10a allele (L10ahet) are displayed for comparison. Color scale indicates relative gene expression value. (B) Comparison of the number of DE genes identified from TRAP RNA versus total RNA microarray. The percentage of genes that showed significant changes in TRAP RNA, but not in total RNA samples, are listed.

Copyright © 2026 American Society for Clinical Investigation
ISSN: 0021-9738 (print), 1558-8238 (online)

Sign up for email alerts