TY - JOUR
T1 - Anatomical Profiling of Nuclear Receptor Expression Reveals a Hierarchical Transcriptional Network
AU - Bookout, Angie L.
AU - Jeong, Yangsik
AU - Downes, Michael
AU - Yu, Ruth T.
AU - Evans, Ronald M.
AU - Mangelsdorf, David J.
N1 - Funding Information:
We thank Drs. Neil McKenna, Rainer Lanz, Zeljko Jericevic, and David Steffen of the NURSA bioinformatics group ( www.nursa.org ) for integrating the data into an online resource. We thank the Mango Lab for tissue preparation and critiquing the manuscript, Dr. Carolyn Cummins and Bryan Ong for QPCR data analyses, Dr. Luc Girard for pair-wise correlation and hierarchical clustering code, and Dr. Gerard Manning for rendering the wheel dendrogram. D.J.M. and R.M.E. are investigators of the Howard Hughes Medical Institute (HHMI). This work was funded by HHMI, the Robert A. Welch Foundation (# I-1275), and the National Institutes of Health (Altas Grant #U19DK62434).
PY - 2006/8/25
Y1 - 2006/8/25
N2 - In multicellular organisms, the ability to regulate reproduction, development, and nutrient utilization coincided with the evolution of nuclear receptors (NRs), transcription factors that utilize lipophilic ligands to mediate their function. Studying the expression profile of NRs offers a simple, powerful way to obtain highly relational information about their physiologic functions as individual proteins and as a superfamily. We surveyed the expression of all 49 mouse NR mRNAs in 39 tissues, representing diverse anatomical systems. The resulting data set uncovers several NR clades whose patterns of expression indicate their ability to coordinate the transcriptional programs necessary to affect distinct physiologic pathways. Remarkably, this regulatory network divides along the following two physiologic paradigms: (1) reproduction, development, and growth and (2) nutrient uptake, metabolism, and excretion. These data reveal a hierarchical transcriptional circuitry that extends beyond individual tissues to form a meganetwork governing physiology on an organismal scale.
AB - In multicellular organisms, the ability to regulate reproduction, development, and nutrient utilization coincided with the evolution of nuclear receptors (NRs), transcription factors that utilize lipophilic ligands to mediate their function. Studying the expression profile of NRs offers a simple, powerful way to obtain highly relational information about their physiologic functions as individual proteins and as a superfamily. We surveyed the expression of all 49 mouse NR mRNAs in 39 tissues, representing diverse anatomical systems. The resulting data set uncovers several NR clades whose patterns of expression indicate their ability to coordinate the transcriptional programs necessary to affect distinct physiologic pathways. Remarkably, this regulatory network divides along the following two physiologic paradigms: (1) reproduction, development, and growth and (2) nutrient uptake, metabolism, and excretion. These data reveal a hierarchical transcriptional circuitry that extends beyond individual tissues to form a meganetwork governing physiology on an organismal scale.
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U2 - 10.1016/j.cell.2006.06.049
DO - 10.1016/j.cell.2006.06.049
M3 - Article
C2 - 16923397
AN - SCOPUS:33747154772
SN - 0092-8674
VL - 126
SP - 789
EP - 799
JO - Cell
JF - Cell
IS - 4
ER -