Understanding the kidney one cell at a time
| Autor: | Junhyong Kim, Katalin Susztak, Jihwan Park, Chang Linda Liu |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Epigenomics
0301 basic medicine Cell 030232 urology & nephrology Kidney development RNA-Seq Computational biology Disease Biology Kidney Article Mice 03 medical and health sciences 0302 clinical medicine medicine Animals Humans High-Throughput Nucleotide Sequencing Epigenome medicine.disease 030104 developmental biology medicine.anatomical_structure Gene Expression Regulation Nephrology Models Animal Kidney Diseases Single-Cell Analysis Biomarkers Function (biology) Kidney disease |
| Zdroj: | Kidney Int |
| ISSN: | 0085-2538 |
| Popis: | A revolution in cellular measurement technology is underway. Whereas prior studies have been able to analyze only the averaged outputs from renal tissue, we now can accurately monitor genome-wide gene expression, regulation, function, cellular history, and cellular interactions in thousands of individual cells in a single experiment. These methods are key drivers in changing our previous morphotype-based organ and disease descriptions to unbiased genomic definitions and therefore improving our understanding of kidney development, homeostasis, and disease. |
| Databáze: | OpenAIRE |
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