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Validating single-cell genomics for the study of renal development.
Jain, Sanjay; Noordam, Michiel J; Hoshi, Masato; Vallania, Francesco L; Conrad, Donald F.
Affiliation
  • Jain S; 1] Renal Division, Department of Internal Medicine, Washington University School of Medicine, St Louis, Missouri, USA [2] Department of Pathology and Immunology, Washington University School of Medicine, St Louis, Missouri, USA.
  • Noordam MJ; Department of Genetics, Washington University, School of Medicine, St Louis, Missouri, USA.
  • Hoshi M; Renal Division, Department of Internal Medicine, Washington University School of Medicine, St Louis, Missouri, USA.
  • Vallania FL; 1] Department of Genetics, Washington University, School of Medicine, St Louis, Missouri, USA [2] Center for Genome Sciences and Systems Biology, Washington University School of Medicine, Washington University School of Medicine, St Louis, Missouri, USA.
  • Conrad DF; 1] Department of Genetics, Washington University, School of Medicine, St Louis, Missouri, USA [2] Center for Genome Sciences and Systems Biology, Washington University School of Medicine, Washington University School of Medicine, St Louis, Missouri, USA.
Kidney Int ; 86(5): 1049-55, 2014 Nov.
Article in En | MEDLINE | ID: mdl-24759149
ABSTRACT
Single-cell genomics will enable studies of the earliest events in kidney development, although it is unclear if existing technologies are mature enough to generate accurate and reproducible data on kidney progenitors. Here we designed a pilot study to validate a high-throughput assay to measure the expression levels of key regulators of kidney development in single cells isolated from embryonic mice. Our experiment produced 4608 expression measurements of 22 genes, made in small cell pools, and 28 single cells purified from the RET-positive ureteric bud. There were remarkable levels of concordance with expression data generated by traditional microarray analysis on bulk ureteric bud tissue with the correlation between our average single-cell measurements and GUDMAP measurements for each gene of 0.82-0.85. Nonetheless, a major motivation for single-cell technology is to uncover dynamic biology hidden in population means. There was evidence for extensive and surprising variation in expression of Wnt11 and Etv5, both downstream targets of activated RET. The variation for all genes in the study was strongly consistent with burst-like promoter kinetics. Thus, our results can inform the design of future single-cell experiments, which are poised to provide important insights into kidney development and disease.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Ureter / Gene Expression Regulation, Developmental / Genomics / Kidney Limits: Animals Language: En Journal: Kidney Int Year: 2014 Type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Ureter / Gene Expression Regulation, Developmental / Genomics / Kidney Limits: Animals Language: En Journal: Kidney Int Year: 2014 Type: Article Affiliation country: United States