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pmid: 8191288
A line of transgenic mice was generated that contains an insertional mutation causing a phenotype similar to human autosomal recessive polycystic kidney disease. Homozygotes displayed a complex phenotype that included bilateral polycystic kidneys and an unusual liver lesion. The mutant locus was cloned and characterized through use of the transgene as a molecular marker. Additionally, a candidate polycystic kidney disease (PKD) gene was identified whose structure and expression are directly associated with the mutant locus. A complementary DNA derived from this gene predicted a peptide containing a motif that was originally identified in several genes involved in cell cycle control.
Male, Mice, Inbred C3H, Tumor Suppressor Proteins, Homozygote, Molecular Sequence Data, Proteins, Mice, Transgenic, Nerve Tissue Proteins, Mice, Mutagenesis, Insertional, Kidney Tubules, Phenotype, Liver, Animals, Female, Amino Acid Sequence, Caenorhabditis elegans Proteins, Crosses, Genetic, Polycystic Kidney, Autosomal Recessive
Male, Mice, Inbred C3H, Tumor Suppressor Proteins, Homozygote, Molecular Sequence Data, Proteins, Mice, Transgenic, Nerve Tissue Proteins, Mice, Mutagenesis, Insertional, Kidney Tubules, Phenotype, Liver, Animals, Female, Amino Acid Sequence, Caenorhabditis elegans Proteins, Crosses, Genetic, Polycystic Kidney, Autosomal Recessive
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 350 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 1% | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 1% | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 1% |
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