Matthew Alexander, PhD
@mattmuscleguy.bsky.social
870 followers 930 following 230 posts
Geneticist, Skeletal Muscle, Drug development, Gene therapies. Non-coding RNA, and Zebrafish Aficionado. Lover of all things muscle. All posts are my own. Instagram @thealexanderlab Lab website: https://www.uab.edu/medicine/peds/research/division-researc
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mattmuscleguy.bsky.social
New #SkeletalMuscle paper: Integrated fibre-specific methylome and proteome profiling of human skeletal muscle across males and females with fibre-type deconvolution. #Myoblue tinyurl.com/6njhwd3h
Integrated fibre-specific methylome and proteome profiling of human skeletal muscle across males and females with fibre-type deconvolution - Skeletal Muscle
Background Skeletal muscle is an important organ for health and movement, largely driven by specific muscle fibres. However, the comparison of fibre-type-specific DNA methylation and protein abundance from the same sample presents challenges. By combining previous methodological approaches we were able to directly compare the methylome and proteome in Type I and Type II human skeletal muscle fibres in males and females. Methods We assessed the methylome using the EPICv2 Infinium array and the proteome using liquid chromatography tandem mass spectrometry (LC-MS/MS) from Type I and Type II fibre pools from both males ( $$n=7$$ n = 7 ) and females ( $$n=5$$ n = 5 ). Results We identified 5,689 robust differentially methylated regions (Fisher P-value $$< 0.001$$ < 0.001 ) and found strong relationships between methylation and protein abundance in key contractile and metabolic genes. Further, we generated a reference matrix of Type I and Type II fibres and leveraged deconvolution algorithms to accurately estimate fibre-type proportions using whole-muscle DNA methylation data, providing a method to correct for fibre-type in future studies. These results are presented primarily as a resource for others to utilise. Conclusion We provide integrated methylome and proteome profiles of human muscle fibre-types generalisable to both male and females as a freely accessible interactive repository, MyoMETH ( https://myometh.net ), allowing further investigation into fibre regulation. Data are available via ProteomeXchange with identifier PXD066393 and the Gene Expression Omnibus at GSE304045 .
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mattmuscleguy.bsky.social
New #SkeletalMuscle paper: Spatiotemporal analysis of dystrophin expression during muscle repair. #Myoblue tinyurl.com/mrxutt3k
Spatiotemporal analysis of dystrophin expression during muscle repair - Skeletal Muscle
Background Dystrophin mRNA is produced from a very large genetic locus and transcription of a single mRNA requires approximately 16 h. This prolonged interval between initiation and completion results in unusual transcriptional behaviour: in skeletal muscle, myonuclei express dystrophin continuously and robustly, yet degrade mature transcripts shortly after completion. Consequently, most dystrophin mRNA is nascent, not mature. This implies expression is principally controlled post-transcriptionally, a mechanism that circumvents transcriptional delay, allowing rapid responses to change in demand. Dystrophin protein is however highly stable, with slow turnover: in healthy muscle, despite constant production of dystrophin mRNA, demand is low and the need for responsive expression is minimal. We reasoned this system instead exists to control dystrophin expression during rare periods of elevated but changing demand, such as during muscle development or repair, when newly formed fibres must establish sarcolemmal dystrophin rapidly. Methods We assessed dystrophin mRNA (both nascent and mature) and dystrophin protein in regenerating skeletal muscle following injury, using a combination of qPCR, immunofluorescence and in-situ hybridisation to determine timing and location of expression during the repair process. Results We reveal a complex program that suggests control at multiple levels: nascent transcription is detectable even prior to overt myoblast fusion, suggesting cells ‘pay in advance’ to minimise subsequent delay. During myotube differentiation and maturation, when sarcolemmal demands are high, initiation increases only modestly while mature transcript stability increases markedly to generate high numbers of mature dystrophin transcripts, a state that persists until repair is complete, when oversupply and degradation resumes. Conclusion Our data demonstrate that dystrophin mRNA is indeed chiefly controlled by turnover, not initiation: degradation consequently represents a potential therapeutic target for maximising efficacy of even modest dystrophin restoration.
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mattmuscleguy.bsky.social
New #JCI_insight paper: Matrix metalloproteinases are hallmark early biomarkers and therapeutic targets in FSHD. #Myoblue tinyurl.com/3w9khp4n
JCI Insight - Matrix metalloproteinases are hallmark early biomarkers and therapeutic targets in FSHD
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mattmuscleguy.bsky.social
New #jclinicalinvest paper: Open-label phase 4 trial evaluating nusinersen after onasemnogene abeparvovec in children with spinal muscular atrophy. #Myoblue tinyurl.com/5mybknx6
JCI - Open-label phase 4 trial evaluating nusinersen after onasemnogene abeparvovec in children with spinal muscular atrophy
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mattmuscleguy.bsky.social
No problem. Didn't know you were on Bluesky otherwise I would have tagged you. Nice paper.
mattmuscleguy.bsky.social
Congrats to #JF_CoteLab and colleagues for their new #DevelopmentJ paper: Differentially expressed fusogens specify myocyte states to drive myogenesis. #Myoblue tinyurl.com/ykbbex8t
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mattmuscleguy.bsky.social
UAB and Children's of AL is looking for a new Division Director of Pediatric Neurology (come be one of my bosses!). We are consistently in the top 30 nationwide in Pediatric Neurology and have excellent subspecialties in: Epilepsy, Autism, and NMDs. Apply: tinyurl.com/y8d8duve
mattmuscleguy.bsky.social
Congrats to #MDavenport93 Maury Swanson and colleagues for their new #JCI_insight paper: Differential pathology and susceptibility to MBNL loss across muscles in myotonic dystrophy mouse models. #Myoblue tinyurl.com/r742p763
JCI Insight - Differential pathology and susceptibility to MBNL loss across muscles in myotonic dystrophy mouse models
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