Article in Development (Cambridge, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
2 · The registry
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what money
Authors and funding
8 authors.
Christopher P ChaneyDepartment of Internal Medicine, Division of Nephrology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.ORCID 0000-0002-4144-4180
Alexandria N FuscoDepartment of Internal Medicine, Division of Nephrology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Elyse D GrilliDepartment of Internal Medicine, Division of Nephrology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Jane N WarshawDepartment of Internal Medicine, Division of Nephrology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Peter M LuoDepartment of Molecular Biology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Ondine CleaverDepartment of Molecular Biology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Denise K MarcianoDepartment of Internal Medicine, Division of Nephrology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Thomas J CarrollDepartment of Internal Medicine, Division of Nephrology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.ORCID 0000-0002-8322-4928
Funding
Coordinating and Bioinformatics Unit for the MMPC/DiaCompU24DK076169 · NIDDK · AUGUSTA UNIVERSITY · PI MCINDOE, RICHARD A. · 2006 to 2018
$42.4M
Application of Progenitor Niche Signals to Ex Vivo NephrogenesisRC2DK125960 · NIDDK · ROGOSIN INSTITUTE · PI CARROLL, THOMAS JOSEPH, CLEAVER, ONDINE B · 2021 to 2025
$7.4M
UT Southwestern NORCP30DK127984 · NIDDK · UT SOUTHWESTERN MEDICAL CENTER · PI JAY D. HORTON · 2022 to 2026
$7.4M
Engineering erythropoietin-producing cellsR24DK106743 · NIDDK · ROGOSIN INSTITUTE · PI CARROLL, THOMAS JOSEPH, CLEAVER, ONDINE B · 2015 to 2019
$7.0M
Identifying pathways required for integration of kidney organoid and host epitheliaUC2DK126021 · NIDDK · MOUNT DESERT ISLAND BIOLOGICAL LAB · PI DRUMMOND, IAIN A., MARCIANO, DENISE K · 2020 to 2024
$3.1M
The Role of Renal Interstitium in Kidney DevelopmentR01DK127634 · NIDDK · UT SOUTHWESTERN MEDICAL CENTER · PI CARROLL, THOMAS JOSEPH, PARK, JOO-SEOP · 2021 to 2024
$2.8M
Mechanisms of Disease and Translational ScienceT32GM131945 · NIGMS · UT SOUTHWESTERN MEDICAL CENTER · PI Thomas Joseph Carroll · 2019 to 2026
$1.7M
Interactions between the stroma and progenitor cells during kidney developmentR01DK095057 · NIDDK · UT SOUTHWESTERN MEDICAL CENTER · PI CARROLL, THOMAS JOSEPH · 2013 to 2016
$1.4M
Renal vascular remodeling and arteriogenesis: cues from smooth muscle progenitor cellsR01DK124393 · NIDDK · UT SOUTHWESTERN MEDICAL CENTER · PI CLEAVER, ONDINE B · 2020 to 2023
$1.4M
Application of Progenitor Niche Signals to Ex Vivo NephrogenesisR56DK125960 · NIDDK · UT SOUTHWESTERN MEDICAL CENTER · PI CARROLL, THOMAS JOSEPH, CLEAVER, ONDINE B · 2020 to 2020
The kidney is a complex organ requiring tightly coordinated interactions between epithelial, endothelial and mesenchymal cells during development. Congenital kidney defects can result in kidney disease and renal failure, highlighting the importance of understanding kidney formation mechanisms. Advances in RNA sequencing have revealed remarkable cellular heterogeneity, especially in the kidney stroma, although relationships between stromal, epithelial and endothelial cells remain unclear. This study presents a comprehensive gene expression atlas of embryonic and postnatal kidneys, integrating single-nucleus and in situ RNA sequencing data. We developed the Kidney Spatial Transcriptome Analysis Tool (KSTAT), enabling researchers to identify cell locations, predict cell-cell communication and map gene pathway activity. Using KSTAT, we were able to uncover significant heterogeneity among embryonic kidney pericytes, providing an important resource for hypothesis generation and advancing knowledge of kidney development and disease.
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.
Integration of spatial and single-nucleus transcriptomics to map gene expression in the developing mouse kidney. · full record | OpenQuestion