ArticlePloS one2011
Identification of anchor genes during kidney development defines ontological relationships, molecular subcompartments and regulatory pathways.
Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.
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.
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.
Who cites it
49 citing papers in PubMed, 94 citations in OpenAlex.
- Article
- The presence of xanthine dehydrogenase is crucial for the maturation of the rat kidneys.Clinical science (London, England : 1979) · 2024Article
- Shared features in ear and kidney development - implications for oto-renal syndromes.Disease models & mechanisms · 2024Article
- GoM DE: interpreting structure in sequence count data with differential expression analysis allowing for grades of membership.Genome biology · 2023Article
- GoM DE: interpreting structure in sequence count data with differential expression analysis allowing for grades of membership.bioRxiv : the preprint server for biology · 2023Article
- Identification and validation of NFIA as a novel prognostic marker in renal cell carcinoma.The journal of pathology. Clinical research · 2023Article
- Article
- Determining lineage relationships in kidney development and disease.Nature reviews. Nephrology · 2022Review
- Defining the variety of cell types in developing and adult human kidneys by single-cell RNA sequencing.NPJ Regenerative medicine · 2021Review
- Hnf1b haploinsufficiency differentially affects developmental target genes in a new renal cysts and diabetes mouse model.Disease models & mechanisms · 2021Article
- Human METTL7B is an alkyl thiol methyltransferase that metabolizes hydrogen sulfide and captopril.Scientific reports · 2021Article
- The FGF, TGFβ and WNT axis Modulate Self-renewal of Human SIX2Scientific reports · 2020Article
- Interactions among glomerulus infiltrating macrophages and intrinsic cells via cytokines in chronic lupus glomerulonephritis.Journal of autoimmunity · 2020Article
- Diving Deep into the Adult Mouse Kidney.Developmental cell · 2019Article
- A Toolbox to Characterize Human Induced Pluripotent Stem Cell-Derived Kidney Cell Types and Organoids.Journal of the American Society of Nephrology : JASN · 2019Article
- Kidney organoids: accurate models or fortunate accidents.Genes & development · 2019Review
- In developing mouse kidneys, orientation of loop of Henle growth is adaptive and guided by long-range cues from medullary collecting ducts.Journal of anatomy · 2019Article
- Integrated Functional Genomic Analysis Enables Annotation of Kidney Genome-Wide Association Study Loci.Journal of the American Society of Nephrology : JASN · 2019Article
- Single-cell analysis reveals congruence between kidney organoids and human fetal kidney.Genome medicine · 2019Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 1 institution in 1 country.
Funding
Abstract
The development of the mammalian kidney is well conserved from mouse to man. Despite considerable temporal and spatial data on gene expression in mammalian kidney development, primarily in rodent species, there is a paucity of genes whose expression is absolutely specific to a given anatomical compartment and/or developmental stage, defined here as 'anchor' genes. We previously generated an atlas of gene expression in the developing mouse kidney using microarray analysis of anatomical compartments collected via laser capture microdissection. Here, this data is further analysed to identify anchor genes via stringent bioinformatic filtering followed by high resolution section in situ hybridisation performed on 200 transcripts selected as specific to one of 11 anatomical compartments within the midgestation mouse kidney. A total of 37 anchor genes were identified across 6 compartments with the early proximal tubule being the compartment richest in anchor genes. Analysis of minimal and evolutionarily conserved promoter regions of this set of 25 anchor genes identified enrichment of transcription factor binding sites for Hnf4a and Hnf1b, RbpJ (Notch signalling), PPARγ:RxRA and COUP-TF family transcription factors. This was reinforced by GO analyses which also identified these anchor genes as targets in processes including epithelial proliferation and proximal tubular function. As well as defining anchor genes, this large scale validation of gene expression identified a further 92 compartment-enriched genes able to subcompartmentalise key processes during murine renal organogenesis spatially or ontologically. This included a cohort of 13 ureteric epithelial genes revealing previously unappreciated compartmentalisation of the collecting duct system and a series of early tubule genes suggesting that segmentation into proximal tubule, loop of Henle and distal tubule does not occur until the onset of glomerular vascularisation. Overall, this study serves to illuminate previously ill-defined stages of patterning and will enable further refinement of the lineage relationships within mammalian kidney development.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.