Other

Dataset Information

0

The spatially resolved transcriptome signatures of glomeruli in chronic kidney disease


ABSTRACT: Here, we used Digital Spatial Profiling (DSP) to describe the glomerular transcriptomic signatures that may characterize the complex molecular mechanisms underlying progressive kidney disease in Alport syndrome, focal segmental glomerulosclerosis, and membranous nephropathy. Our results revealed significant transcriptional heterogeneity among diseased glomeruli, and this analysis showed that histologically similar glomeruli manifested different transcriptional profiles. Using glomerular pathology scores to establish an axis of progression, we identified molecular pathways that progressively decreased with increasing pathology scores, including Signal Recognition Particle-dependent co-translational protein targeting to membrane and selenocysteine synthesis pathways. We also identified a distinct signature of upregulated and downregulated genes common to all the diseases investigated when compared to non-diseased tissue from nephrectomies. These analyses using DSP at the single glomerulus level could help to gain insight into the pathophysiology of kidney disease

ORGANISM(S): Homo sapiens

PROVIDER: GSE255265 | GEO | 2024/03/22

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2010-04-13 | E-GEOD-12682 | biostudies-arrayexpress
2022-11-21 | GSE218086 | GEO
2018-12-04 | GSE99583 | GEO
2019-03-08 | GSE127235 | GEO
2023-07-03 | GSE228756 | GEO
2008-06-17 | E-GEOD-8998 | biostudies-arrayexpress
2019-05-03 | GSE129973 | GEO
2018-07-31 | GSE96804 | GEO
2021-01-30 | GSE109861 | GEO
2016-07-22 | E-GEOD-84663 | biostudies-arrayexpress