Spatially resolved transcriptome profiles of mammalian kidneys illustrate the molecular complexity of functional nephron segments, cell-to-cell interactions and genetic variants.
Raghubar, A. M.; Pham, D. T.; Tan, X.; Grice, L. F.; Crawford, J.; Lam, P. Y.; Andersen, S. B.; Yoon, S.; Ng, M. S. Y.; Teoh, S. M.; Holland, S. E.; Stewart, A.; Francis, L.; Combes, A. N.; Kassianos, A. J.; Healy, H.; Nguyen, Q.; Mallett, A. J.
Show abstract
Understanding the molecular mechanisms underlying mammalian kidney function requires transcriptome profiling of the interplay between cells comprising nephron segments. Traditional transcriptomics requires cell dissociation, resulting in loss of the spatial context of gene expression within native tissue. To address this problem, we performed spatial transcriptomics (ST) to retain the spatial context of the transcriptome in human and mouse kidneys. The generated ST data allowed spatially resolved differential gene expression analysis, spatial identification of functional nephron segments, cell-to-cell interaction analysis, and chronic kidney disease-associated genetic variant calling. Novel ST thus provides an opportunity to enhance kidney diagnostics and knowledge, by retaining the spatial context of gene expression within intact tissue.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- Urinary single-cell sequencing captures intrarenal injury and repair processes in human acute kidney injury 95%
- Dynamic Single Cell Transcriptomics Defines Kidney FGF23/KL Bioactivity and Novel Segment-Specific Inflammatory Targets 94%
- Enhancer and super-enhancer landscape in polycystic kidney disease 93%
Similar papers in this journal
- Single-cell transcriptional profiling of clear cell renal cell carcinoma reveals an invasive tumor vasculature phenotype 91%
- The enpp4 ectonucleotidase regulates kidney patterning signalling networks in Xenopus embryos 91%
- Single-cell analysis supports a luminal-neuroendocrine transdifferentiation in human prostate cancer 91%
Similar papers in this journal
- Mice with renal-specific alterations of stem cell-associated signaling develop symptoms of chronic kidney disease but surprisingly no tumors 94%
- Detection of infiltrating fibroblasts by single-cell transcriptomics in human kidney allografts 94%
- Common tissue-specific expressions and regulatory mechanisms of c-KIT isoforms with and without GNNK and GNSK sequences across five mammals 92%
Similar papers in this journal
- Single cell RNA sequencing reveals differential cell cycle activity in key cell populations during nephrogenesis 96%
- A clustering approach to improve our understanding of the genetic and phenotypic complexity of chronic kidney disease 93%
- Gucy1α1 specifically marks kidney, heart, lung and liver fibroblasts 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.