Biology subjects

Adak, V.

Publications and source records attributed to Adak, V..

3 recordsLinked to original sources

bioRxiv2025

Muscle Fiber- and Cell Type-Specificity of Training Adaptation in Male Mice

Skeletal muscle possesses extraordinary plasticity of structure, metabolism, and function in response to repeated contractile activity. As a syncytium embedded within a complex microenvironment, muscle relies on the coordination of distinct myonuclear populations and diverse mononucleated cell types. Here, we present a high-resolution single-nucleus RNA-sequencing atlas of 550000 skeletal muscle nuclei, capturing the longitudinal transcriptional responses of 17 distinct myonuclear and 21 mononuclear cell populations at multiple time points after one bout of exhaustive exercise in trained and sedentary mice. The transcriptional programs of these populations are further shaped by training status into divergent adaptive trajectories. A subset of oxidative myonuclei enters a delayed regenerative state post-exercise, reflecting a bifurcated response to a disproportionate metabolic load on fibers during endurance exercise. Prior training accelerates homeostatic recovery and shields oxidative nuclei from exacerbated damage signatures. In parallel, mononucleated cells emerge as the primary mediators of intercellular communication during recovery. Together, this dataset establishes that training adaptation emerges through a coordinated interplay of intrinsic adaptive programs of multicellular remodeling, and provides a foundational resource for mechanistic insights into muscle plasticity.

physiology↗

bioRxiv2023

Molecular control of endurance training adaptation in mouse skeletal muscle

Skeletal muscle has an enormous plastic potential to adapt to various external and internal perturbations. While morphological changes in endurance-trained muscles are well-described, the molecular underpinnings of training adaptation are poorly understood. We aimed at defining the molecular signature of a trained muscle and unraveling the training statusdependent responses to an acute bout of exercise. Our results reveal that even though at baseline, the transcriptomes of trained and untrained muscles are very similar, training status substantially affects the transcriptional response to an acute challenge, both quantitatively and qualitatively, in part mediated by epigenetic modifications. Second, proteomic changes were elicited by different transcriptional modalities. Finally, transiently activated factors such as the peroxisome proliferator-activated receptor {gamma} coactivator 1 (PGC-1) are indispensable for normal training adaptation. Together, these results provide a molecular framework of the temporal and training status-dependent exercise response that defines muscle plasticity in training. HIGHLIGHTSO_LIVery few persistent transcriptional events define the trained muscle. C_LIO_LIThe training status determines the acute exercise response. C_LIO_LIEpigenetic changes shape the transcriptional specification of trained muscle. C_LIO_LIAbsence of the key regulator PGC-1 causes suboptimal training adaptations. C_LI

physiology↗

bioRxiv2020

RNA-bound PGC-1α controls gene expression in liquid-like nuclear condensates

The peroxisome-proliferator-activated receptor-{gamma} coactivator-1 (PGC-1) integrates environmental cues by controlling complex transcriptional networks in various metabolically active tissues. However, it is unclear how a transcriptional coregulator coordinates dynamic biological programs in response to multifaceted stimuli such as endurance training or fasting. Here, we discovered a central function of the poorly understood C-terminal domain (CTD) of PGC-1 to bind RNAs and assemble multi-protein complexes. Surprisingly, in addition to controlling the coupling of transcription and processing of target genes, RNA binding is indispensable for the recruitment of PGC-1 to chromatin into liquid-like nuclear condensates, which compartmentalize and regulate active transcription. These results demonstrate a hitherto unsuspected molecular mechanism by which complexity in the regulation of large transcriptional networks by PGC-1 is achieved. These findings are not only essential for the basic understanding of transcriptional coregulator-driven control of biological programs, but will also help to devise new strategies to modulate these processes in pathological contexts in which PGC-1 function is dysregulated, such as type 2 diabetes, cardiovascular diseases or skeletal muscle wasting.

molecular biology↗