Recent CIG publications Archive

0

Handb Exp Pharmacol; auth B Thorens

Handb Exp Pharmacol. 2012;(209):277-94.

Sensing of glucose in the brain.

Source

Center for Integrative Genomics, University of Lausanne, Switzerland. Bernard.thorens@unil.ch

Abstract

The brain, and in particular the hypothalamus and brainstem, have been recognized for decades as important centers for the homeostatic control of feeding, energy expenditure, and glucose homeostasis. These structures contain neurons and neuronal circuits that may be directly or indirectly activated or inhibited by glucose, lipids, or amino acids. The detection by neurons of these nutrient cues may become deregulated, and possibly cause metabolic diseases such as obesity and diabetes. Thus, there is a major interest in identifying these neurons, how they respond to nutrients, the neuronal circuits they form, and the physiological function they control. Here I will review some aspects of glucose sensing by the brain. The brain is responsive to both hyperglycemia and hypoglycemia, and the glucose sensing cells involved are distributed in several anatomical sites that are connected to each other. These eventually control the activity of the sympathetic or parasympathetic nervous system, which regulates the function of peripheral organs such as liver, white and brown fat, muscle, and pancreatic islets alpha and beta cells. There is now evidence for an extreme diversity in the sensing mechanisms used, and these will be reviewed.

PMID: 22249819 [PubMed - indexed for MEDLINE]
0

Am J Physiol Endocrinol Metab.; co-auth W Wahli

Am J Physiol Endocrinol Metab. 2012 Apr 24. [Epub ahead of print]

Lack of Smad3 signaling leads to impaired skeletal muscle regeneration.

Source

1Nanyang Technological University.

Abstract

Smad3 is a key intracellular signaling mediator for both TGF-β and Myostatin, two major regulators of skeletal muscle growth. Previous published work has revealed pronounced muscle atrophy together with impaired Satellite Cell (SC) functionality in Smad3-null muscles. In the present study, we have further validated a role for Smad3 signaling in skeletal muscle regeneration. Here, we show that Smad3-null mice had incomplete recovery of muscle weight and myofiber size after muscle injury. Histological/Immunohistochemical analysis suggested impaired inflammatory response and reduced number of activated myoblasts during the early stages of muscle regeneration in the M. tibialis anterior muscle of Smad3-null mice. Nascent myofibers formed after muscle injury were also reduced in number. Moreover, Smad3-null regenerated muscle had decreased oxidative enzyme activity and impaired mitochondrial biogenesis, evident by the down-regulation of the gene encoding TFAM, a master regulator of mitochondrial biogenesis. Consistent with known Smad3 function, reduced fibrotic tissue formation was also seen in regenerated Smad3-null muscle. In conclusion, Smad3 deficiency leads to impaired muscle regeneration, which underscores an essential role of Smad3 in post-natal myogenesis. Given the negative role of Myostatin during muscle regeneration, the increased expression of Myostatin observed in Smad3-null muscle may contribute to the regeneration defects.

PMID : 22535746 [PubMed - as supplied by publisher]
0

J. Comput. Chem.; auth group Michielin

Expanding molecular modeling and design tools to non-natural sidechains

  1. David Gfeller,
  2. Olivier Michielin,
  3. Vincent Zoete

Article first published online: 14 APR 2012

Abstract

Protein–protein interactions encode the wiring diagram of cellular signaling pathways and their deregulations underlie a variety of diseases, such as cancer. Inhibiting protein–protein interactions with peptide derivatives is a promising way to develop new biological and therapeutic tools. Here, we develop a general framework to computationally handle hundreds of non-natural amino acid sidechains and predict the effect of inserting them into peptides or proteins. We first generate all structural files (pdb and mol2), as well as parameters and topologies for standard molecular mechanics software (CHARMM and Gromacs). Accurate predictions of rotamer probabilities are provided using a novel combined knowledge and physics based strategy. Non-natural sidechains are useful to increase peptide ligand binding affinity. Our results obtained on non-natural mutants of a BCL9 peptide targeting beta-catenin show very good correlation between predicted and experimental binding free-energies, indicating that such predictions can be used to design new inhibitors. Data generated in this work, as well as PyMOL and UCSF Chimera plug-ins for user-friendly visualization of non-natural sidechains, are all available at http://www.swisssidechain.ch. Our results enable researchers to rapidly and efficiently work with hundreds of non-natural sidechains. © 2012 Wiley Periodicals, Inc.

DOI: 10.1002/jcc.22982