Exercise in the future could be customized for individuals based on genomics, according to a study by Arizona State University (ASU) and the Translational Genomics Research Institute (TGen), an affiliate of City of Hope.
For years, scientists have studied the effects of different types of exercise on the human body, but never before at this level of molecular precision, according to the TGen-ASU study published in the Journal of Applied Physiology.
“We hope to leverage these findings into more precise exercise recommendations in the future — ones that are tailored to an individual not only based on their physiological needs but also based on their molecular response to exercise,” said Dr. Matt Huentelman, professor in TGen’s Neurogenomics Division, and one of the study’s senior authors.
This study begins to characterize some of the molecular changes that happen in muscle tissue following different types of exercise, specifically resistance exercise (lifting weights), versus that of aerobic exercise (in this study, cycling).
Researchers used advanced technology — whole-transcriptome RNA sequencing — to identify genes that were affected uniquely by each type of exercise. Muscle samples were obtained from six men, ages 27-30, before their exercises, and again at 1 hour and 4 hours following both weight lifting and cycling.
The study found 48 unique genes following aerobic exercise, and 348 unique genes following weight lifting, that were “differentially expressed,” meaning the exercises made the genes more powerful or less powerful, like a dimmer switch on a chandelier.
“These data show that different exercises elicit unique molecular activity in skeletal muscle,” said Dr. Jared Dickinson, an assistant professor in the ASU College of Health Solutions, and the study’s lead author. “These findings support the need for additional research that better identifies how exercise strategies can be used to target specific molecular responses in the muscle tissue, which could have implications for those that suffer from abnormalities in muscle.”
By better understanding the unique molecular processes stimulated by different types of exercise, the researchers hope to find better ways to promote muscle health. They also maintain that this research could lead to more effective exercise interventions that target abnormalities associated with specific muscle dysfunctions.
A very important aspect of the study was the use of RNA sequencing, which provided: a broader range of analysis, especially for genes expressed at low levels; increased specificity; and the ability to identify novel genes that otherwise might not be detected through lesser technologies.
The study also found that aerobic exercise increased expression of one specific gene associated with greater oxygen capacity. The ESRRG gene improved endurance, enhanced development of blood vessels and was also important in improving function of mitochondria, the powerhouse of cells.
TGen, ASU and Midwestern University funded this study.
Source – TGen
Dickinson JM, D’Lugos AC, Naymik MA, Siniard AL, Wolfe AJ, Curtis DP, Huentelman MJ, Carroll CC. (2018) Transcriptome response of human skeletal muscle to divergent exercise stimuli. Journal of Applied Physiology [Epub ahead of print]. [abstract]
Exercise in the future could be customized for individuals based on genomics, according to a study by Arizona State University (ASU) and the Translational Genomics Research Institute (TGen), an affiliate of City of Hope.
For years, scientists have studied the effects of different types of exercise on the human body, but never before at this level of molecular precision, according to the TGen-ASU study published in the Journal of Applied Physiology.
This study begins to characterize some of the molecular changes that happen in muscle tissue following different types of exercise, specifically resistance exercise (lifting weights), versus that of aerobic exercise (in this study, cycling).
Researchers used advanced technology — whole-transcriptome RNA sequencing — to identify genes that were affected uniquely by each type of exercise. Muscle samples were obtained from six men, ages 27-30, before their exercises, and again at 1 hour and 4 hours following both weight lifting and cycling.
The study found 48 unique genes following aerobic exercise, and 348 unique genes following weight lifting, that were “differentially expressed,” meaning the exercises made the genes more powerful or less powerful, like a dimmer switch on a chandelier.
By better understanding the unique molecular processes stimulated by different types of exercise, the researchers hope to find better ways to promote muscle health. They also maintain that this research could lead to more effective exercise interventions that target abnormalities associated with specific muscle dysfunctions.
A very important aspect of the study was the use of RNA sequencing, which provided: a broader range of analysis, especially for genes expressed at low levels; increased specificity; and the ability to identify novel genes that otherwise might not be detected through lesser technologies.
The study also found that aerobic exercise increased expression of one specific gene associated with greater oxygen capacity. The ESRRG gene improved endurance, enhanced development of blood vessels and was also important in improving function of mitochondria, the powerhouse of cells.
TGen, ASU and Midwestern University funded this study.
Source – TGen
Dickinson JM, D’Lugos AC, Naymik MA, Siniard AL, Wolfe AJ, Curtis DP, Huentelman MJ, Carroll CC. (2018) Transcriptome response of human skeletal muscle to divergent exercise stimuli. Journal of Applied Physiology [Epub ahead of print]. [abstract]
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Exercise in the future could be customized for individuals based on genomics, according to a study by Arizona State University (ASU) and the Translational Genomics Research Institute (TGen), an affiliate of City of Hope.
For years, scientists have studied the effects of different types of exercise on the human body, but never before at this level of molecular precision, according to the TGen-ASU study published in the Journal of Applied Physiology.
This study begins to characterize some of the molecular changes that happen in muscle tissue following different types of exercise, specifically resistance exercise (lifting weights), versus that of aerobic exercise (in this study, cycling).
Researchers used advanced technology — whole-transcriptome RNA sequencing — to identify genes that were affected uniquely by each type of exercise. Muscle samples were obtained from six men, ages 27-30, before their exercises, and again at 1 hour and 4 hours following both weight lifting and cycling.
The study found 48 unique genes following aerobic exercise, and 348 unique genes following weight lifting, that were “differentially expressed,” meaning the exercises made the genes more powerful or less powerful, like a dimmer switch on a chandelier.
By better understanding the unique molecular processes stimulated by different types of exercise, the researchers hope to find better ways to promote muscle health. They also maintain that this research could lead to more effective exercise interventions that target abnormalities associated with specific muscle dysfunctions.
A very important aspect of the study was the use of RNA sequencing, which provided: a broader range of analysis, especially for genes expressed at low levels; increased specificity; and the ability to identify novel genes that otherwise might not be detected through lesser technologies.
The study also found that aerobic exercise increased expression of one specific gene associated with greater oxygen capacity. The ESRRG gene improved endurance, enhanced development of blood vessels and was also important in improving function of mitochondria, the powerhouse of cells.
TGen, ASU and Midwestern University funded this study.
Source – TGen
Dickinson JM, D’Lugos AC, Naymik MA, Siniard AL, Wolfe AJ, Curtis DP, Huentelman MJ, Carroll CC. (2018) Transcriptome response of human skeletal muscle to divergent exercise stimuli. Journal of Applied Physiology [Epub ahead of print]. [abstract]
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Scientists identify the neuroblastoma cells that signal poor outcomes
Urine test may improve bladder cancer diagnosis and guide treatment decisions
Tracing 700 million years of cell evolution
RNA-Seq reveals a new way the developing heart controls its growth
The Human RNome Project Consortium seeks to publish first-ever complete sequence of the body’s RNA
Unmasking “zombie cells” in aging tissue with an AI-powered barcode
RNA variant imaging for cancer diagnosis
Autism-risk mutations reveal two opposing patterns of brain gene activity
Avoiding a sticky situation: how cells stop messenger RNAs from clumping together
RNA Sequencing identifies new tick-borne virus that causes flu-like illness
Worm’s radical transformation shows metamorphosis can change the functions of cells
RNA sequencing reveals functional chimeric mRNAs in mammalian immunity
Atlas of the brain’s striatum could guide researchers to new drug treatments
Immune cells offer insights on billion-dollar virus
A functionally integrated cross-tissue alternative splicing program during short-term calorie restriction
Dietary oxidized plant sterol shifts macrophage state to fuel aortic inflammation
Unlocking the past – new method helps gain insights into old tissue
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