High-throughput data-driven analysis of myofiber composition reveals muscle-specific disease and age-associated patterns
biorxiv(2018)
摘要
Contractile properties of myofibers are dictated by the abundance of myosin heavy chain (MyHC) isoforms. MyHC composition designates muscle function and its alterations could unravel differential muscle involvement in muscular dystrophies and aging. Current analyses are limited to visual assessments in which myofibers expressing multiple MyHC isoforms are prone to misclassifications. As a result, complex patterns and subtle alterations are unidentified. We developed a high-throughput data-driven myofiber analysis to quantitatively describe the variations in myofibers across the muscle. We investigated alterations in myofiber composition between genotypes, two muscles and two age groups. We show that this analysis facilitates the discovery of complex myofiber compositions and its dependency on age, muscle type and genetic conditions.
### Nonstandard abbreviations
LGMD
: Limb girdle muscular dystrophy
MFI
: mean fluorescence intensity
MyHC
: Myosin heavy chain
SGCA-null
: α-sarcoglycan-null
SGCD-null
: δ-sarcoglycan-null
* ### Nonstandard abbreviations
LGMD
: Limb girdle muscular dystrophy
MFI
: mean fluorescence intensity
MyHC
: Myosin heavy chain
SGCA-null
: α-sarcoglycan-null
SGCD-null
: δ-sarcoglycan-null
更多查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要