Gene/Protein Disease Symptom Drug Enzyme Compound
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Query: UMLS:C0155339 (Brown)
 12,436 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

Ras GTPase activating proteins (GAPs) contain an invariant motif, -FLR-, within the most conserved region of their catalytic domains. Certain mutations in this motif have greatly reduced activity (Skinner, R. H., Bradley, S., Brown, A. L., Johnson, N. J., Rhodes, S., Stammers, D. K., and Lowe, P. N. (1991) J. Biol. Chem. 266, 14163-14166), but it was not determined whether the reduced activity was due to loss of binding or impaired catalysis. In order to address this question, we have developed a simple physical method to study formation of GAP.p21ras complexes. This utilizes the increase of fluorescence anisotropy upon binding of GAP to p21ras complexed with 2'(3')-O-(N-methylanthraniloyl) (mant) derivatives of guanine nucleotides. Dissociation constants obtained for the catalytic domains of either p120-GAP (GAP-344) or neurofibromin (NF1-GRD) with normal and Leu-61 p21ras proteins are comparable with those obtained by kinetic methods. In the course of these studies, we found, in contrast to previous observations, that both GAP and NF1-GRD can weakly activate the GTPase of Leu-61 mutant p21, showing that Gln-61 is not absolutely required for the stimulation of GTPase activity by GAPs. The fluorescence anisotropy method allowed us to show that mutation of Arg-903, within the FLR motif of GAP, can result in protein defective in catalysis but not in binding to p21ras. These data suggest a direct role for this residue in catalyzing GTP hydrolysis on p21ras, possibly by contributing a catalytic group to the p21 active site. This method is independent of the catalytic activity of the proteins, and so it could be extended generally to the measurement of binding of effector molecules, exchange factors, or other macromolecules to guanine nucleotide-binding proteins.
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PMID:Interaction of GTPase activating proteins (GAPs) with p21ras measured by a novel fluorescence anisotropy method. Essential role of Arg-903 of GAP in activation of GTP hydrolysis on p21ras. 849 56

The purpose of this chapter is to provide an introduction to magnetic resonance imaging (MRI) and magnetic resonance spectroscopy (MRS) of human brain tumors, including the primary applications and basic terminology involved. Readers who wish to know more about this broad subject should seek out the referenced books (1. Tofts (2003) Quantitative MRI of the brain. Measuring changes caused by disease. Wiley; Bradley and Stark (1999) 2. Magnetic resonance imaging, 3rd Edition. Mosby Inc; Brown and Semelka (2003) 3. MRI basic principles and applications, 3rd Edition. Wiley-Liss) or reviews (4. Top Magn Reson Imaging 17:127-36, 2006; 5. JMRI 24:709-724, 2006; 6. Am J Neuroradiol 27:1404-1411, 2006).MRI is the most popular means of diagnosing human brain tumors. The inherent difference in the magnetic resonance (MR) properties of water between normal tissues and tumors results in contrast differences on the image that provide the basis for distinguishing tumors from normal tissues. In contrast to MRI, which provides spatial maps or images using water signals of the tissues, proton MRS detects signals of tissue metabolites. MRS can complement MRI because the observed MRS peaks can be linked to inherent differences in biochemical profiles between normal tissues and tumors.The goal of MRI and MRS is to characterize brain tumors, including tumor core, edge, edema, volume, types, and grade. The commonly used brain tumor MRI protocol includes T2-weighted images and T1-weighted images taken both before and after the injection of a contrast agent (typically gadolinium: Gd). The commonly used MRS technique is either point-resolved spectroscopy (PRESS) or stimulated echo acquisition mode (STEAM).
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PMID:MRI and MRS of human brain tumors. 1938 63

Bipolar disorder diagnosis has been rising dramatically in children for the past decade. In response to this increase, writes Daniel Dickstein, M.D., of Bradley Hospital and Brown University, researchers at the National Institute of Mental Health and elsewhere are reviewing the diagnostic criteria. In coming years, Dickstein argues, recognizing and diagnosing bipolar disorder in children should be based more on biological markers, such as brain structure and the use of neural circuits, than on the inconsistent diagnostic categories laid out in the Diagnostic and Statistical Manual of Mental Disorders.
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PMID:The diagnostic dilemma: why we need to change how we diagnose bipolar disorder in children. 2344 68