Author

P. C. Dagher

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Physiology· 3 Cell Biology· 1 Scientific Communication & Education· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 3 Organism:human· 3 Approach:statistical model· 3 Approach:deep learning· 2 Research Focus:differential expression· 2 Approach:experimental assay· 2 Research Focus:gene regulatory network inference· 2 Organism:mouse· 2

Frequent Co-Authors

D. Janosevic· 3 shared M. T. Eadon· 3 shared T. Hato· 3 shared J. B. Hodgin· 2 shared J. Luo· 2 shared J. Myslinski· 2 shared K. W. Dunn· 2 shared S. Winfree· 2 shared

Activity by Year

2020-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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3 shared papersPhysiology

D. Janosevic

Mutual co-authors in cluster

Author profile →

5 papers

Recent·Most cited

Dynamic Single Cell Transcriptomics Defines Kidney FGF23/KL Bioactivity and Novel Segment-Specific Inflammatory Targets

R. Agoro, J. Myslinski, Y. G. Marambio, D. Janosevic, K. N. Jennings, S. Liu, L. M. Hibbard, F. Fang, P. Ni, M. L. Noonan, E. Solis, X. Chu, Y. Wang, P. C. Dagher, Y. Liu, , K. White

This study uses single-cell transcriptomics to analyze FGF23 bioactivity and identify novel inflammatory targets in the kidney, revealing interactions between FGF23 and TNF/NF-κB pathways.

bioRxiv · May 24, 2024Physiology

miRNA and mRNA Signatures in Human Acute Kidney Injury Tissue

D. Janosevic, T. De Luca, R. M. Ferreira, D. L. Gisch, T. Hato, J. Luo, Y. Yang, J. B. Hodgin, P. C. Dagher, M. T. Eadon

This study identifies miRNA and mRNA signatures in human AKI tissue, revealing their roles in inflammation, immune activation, and epithelial-to-mesenchymal transition, and highlights the importance of using appropriate reference controls.

bioRxiv · Sep 11, 2023Cell Biology

Integrated cytometry with machine learning applied to high-content imaging of human kidney tissue for in-situ cell classification and neighborhood analysis

S. Winfree, A. T. McNutt, S. Khochare, T. J. Borgard, D. Barwinska, A. R. Sabo, M. J. Ferkowicz, J. C. Williams, J. E. Lingeman, C. J. Gulbronson, K. J. Kelly, T. A. Sutton, P. C. Dagher, M. T. Eadon, K. W. Dunn, T. M. El-Achkar

The paper introduces VTEA, a software tool that integrates machine learning and cytometry analysis for high-content imaging of human kidney tissue to classify cells and analyze their spatial neighborhoods.

bioRxiv · Dec 27, 2021Physiology

Translation rescue by targeting Ppp1r15a upstream open reading frame in vivo

A. Kidwell, S. P. S. Yadav, B. Maier, A. Zollman, K. Ni, A. Halim, D. Janosevic, J. Myslinski, F. Syed, L. Zeng, A. Bopda Waffo, K. Banno, X. Xuei, E. H. Doud, P. C. Dagher, T. Hato

This study shows that targeting the Ppp1r15a upstream open reading frame rescues translation and improves kidney function in sepsis by overcoming uORF-mediated repression.

bioRxiv · Dec 11, 2021Physiology

A Multimodal and Integrated Approach to Interrogate Human Kidney Biopsies with Rigor and Reproducibility: The Kidney Precision Medicine Project

T. M. El-Achkar, M. T. Eadon, R. Menon, B. B. Lake, T. K. Sigdel, T. Alexandrov, S. Parikh, G. Zhang, D. Dobi, K. W. Dunn, E. A. Otto, C. R. Anderton, J. M. Carson, J. Luo, C. Park, , For the Kidney Precision Medicine Project

The paper describes a pipeline for generating 3D molecular atlases of human kidney biopsies using multi-OMICS and imaging technologies, emphasizing quality control and reproducibility across institutions.

bioRxiv · Aug 23, 2020 · PreprintScientific Communication & Education