Transcriptional profiling of aging in human muscle reveals a common aging signature

 

Jacob M. Zahn1, Rebecca Sonu1, Hannes Vogel2, Emily Crane1, Krystyna Mazan-Mamczrarz3, Ralph Rabkin4,5, Ronald W. Davis6,7, Kevin G. Becker8, Art B. Owen9, Stuart K. Kim1,6*

 

1Department of Developmental Biology, Stanford University Medical Center, Stanford, California, United States of America, 2Department of Medicine, Stanford University Medical Center, Stanford, California, United States of America, 3Laboratory of Cellular and Molecular Biology, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, United States of America, 4Department of Pathology, Stanford University Medical Center, Stanford, California, United States of America, 5Veterans Affairs Palo Alto Health Care System, Palo Alto, California, United States of America, 6Department of Genetics, Stanford University Medical Center, Stanford, California, United States of America, 7Department of Biochemistry, Stanford University Medical Center, Stanford, California, United States of America, 8Research Resources Branch, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, United States of America, 9Department of Statistics, Stanford University, Stanford, California, United States of America

*To whom correspondence should be addressed.  Email: kim@cmgm.stanford.edu