St. Jude Children's Research Hospital

About: St. Jude Children's Research Hospital is a healthcare organization based out in Memphis, Tennessee, United States. It is known for research contribution in the topics: Population & Virus. The organization has 9344 authors who have published 19233 publications receiving 1233399 citations. The organization is also known as: St. Jude Children's Hospital & St. Jude Hospital.

Six2 is required for suppression of nephrogenesis and progenitor renewal in the developing kidney.

Abstract: During kidney development and in response to inductive signals, the metanephric mesenchyme aggregates, becomes polarized, and generates much of the epithelia of the nephron. As such, the metanephric mesenchyme is a renal progenitor cell population that must be replenished as epithelial derivatives are continuously generated. The molecular mechanisms that maintain the undifferentiated state of the metanephric mesenchymal precursor cells have not yet been identified. In this paper, we report that functional inactivation of the homeobox gene Six2 results in premature and ectopic differentiation of mesenchymal cells into epithelia and depletion of the progenitor cell population within the metanephric mesenchyme. Failure to renew the mesenchymal cells results in severe renal hypoplasia. Gain of Six2 function in cortical metanephric mesenchymal cells was sufficient to prevent their epithelial differentiation in an organ culture assay. We propose that in the developing kidney, Six2 activity is required for maintaining the mesenchymal progenitor population in an undifferentiated state by opposing the inductive signals emanating from the ureteric bud.

Estimating the occurrence of false positives and false negatives in microarray studies by approximating and partitioning the empirical distribution of p-values

Abstract: Motivation: The occurrence of false positives and false negatives in a microarray analysis could be easily estimated if the distribution of p-values were approximated and then expressed as a mixture of null and alternative densities. Essentially any distribution of p-values can be expressed as such a mixture by extracting a uniform density from it. Results: Am odel is introduced that frequently describes very accurately the distribution of a set of p-values arising from an array analysis. The model is used to obtain an estimated distribution that is easily expressed as a mixture of null and alternative densities. Given a threshold of significance, the estimated distribution is partitioned into regions corresponding to the occurrences of false positives, false negatives, true positives, and true negatives. Availability: An S-plus function library is available from