Search

Your search keyword '"Galgani, Jose E."' showing total 3 results
Start Over Author "Galgani, Jose E." Journal nature methods
3 results on '"Galgani, Jose E."'

2. A guide to analysis of mouse energy metabolism

Author

Tschöp, Matthias H, primary, Speakman, John R, additional, Arch, Jonathan R S, additional, Auwerx, Johan, additional, Brüning, Jens C, additional, Chan, Lawrence, additional, Eckel, Robert H, additional, Farese, Robert V, additional, Galgani, Jose E, additional, Hambly, Catherine, additional, Herman, Mark A, additional, Horvath, Tamas L, additional, Kahn, Barbara B, additional, Kozma, Sara C, additional, Maratos-Flier, Eleftheria, additional, Müller, Timo D, additional, Münzberg, Heike, additional, Pfluger, Paul T, additional, Plum, Leona, additional, Reitman, Marc L, additional, Rahmouni, Kamal, additional, Shulman, Gerald I, additional, Thomas, George, additional, Kahn, C Ronald, additional, and Ravussin, Eric, additional

Published
2011
Full Text
View/download PDF

3. A guide to analysis of mouse energy metabolism.

Author

Tschöp, Matthias H, Speakman, John R, Arch, Jonathan R S, Auwerx, Johan, Brüning, Jens C, Chan, Lawrence, Eckel, Robert H, Farese, Robert V, Galgani, Jose E, Hambly, Catherine, Herman, Mark A, Horvath, Tamas L, Kahn, Barbara B, Kozma, Sara C, Maratos-Flier, Eleftheria, Müller, Timo D, Münzberg, Heike, Pfluger, Paul T, Plum, Leona, and Reitman, Marc L

Subjects
ENERGY metabolism, MAMMAL body composition, BODY weight, ANALYSIS of covariance, LABORATORY mice
Abstract

We present a consolidated view of the complexity and challenges of designing studies for measurement of energy metabolism in mouse models, including a practical guide to the assessment of energy expenditure, energy intake and body composition and statistical analysis thereof. We hope this guide will facilitate comparisons across studies and minimize spurious interpretations of data. We recommend that division of energy expenditure data by either body weight or lean body weight and that presentation of group effects as histograms should be replaced by plotting individual data and analyzing both group and body-composition effects using analysis of covariance (ANCOVA). [ABSTRACT FROM AUTHOR]

Published
2012
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results