Biology subjects

Pang, W.

Publications and source records attributed to Pang, W..

5 recordsLinked to original sources

bioRxiv2026

Only a fraction of UCP1 is required to sustain adaptive nonshivering thermogenesis in the cold

To address the long-standing question of the respective physiological contributions of classical brown versus beige adipocytes to adaptive nonshivering thermogenesis, we generated mice with lineage-specific ablation of UCP1 in thermogenic adipocytes of myogenic origin. This selectively targeted the major classical brown adipocyte lineage while preserving UCP1 expression in the remaining thermogenic adipocytes, reducing total UCP1 content by approximately 80 %. Unexpectedly, despite this profound reduction in UCP1 abundance, cold acclimation-recruited thermogenic capacity, assessed by adrenergic stimulation, remained largely preserved. In contrast, complete UCP1 deficiency abolished the adrenergically induced thermogenic response, demonstrating that UCP1 is indispensable for adaptive nonshivering thermogenesis. These findings indicate that in cold-acclimated mice only a fraction of the UCP1 normally present is required to sustain maximal thermogenic capacity. We further establish that the capacity to support UCP1-dependent oxidative metabolism, rather than UCP1 abundance, is the principal constraint on maximal thermogenic output under these conditions.

physiology↗

bioRxiv2026

Muscle March5 restrains an ATF4-GDF15 endocrine stress axis that modulates feeding and body composition

Skeletal muscle can release endocrine stress signals during aging and wasting, but the upstream mechanisms that restrain this response remain incompletely defined. Here we identify March5 as a muscle proteostatic checkpoint that limits ATF4-dependent GDF15 production. March5 expression declined in aged and atrophic muscle, whereas muscle-specific March5 deletion induced ATF4 accumulation, marked GDF15 elevation, reduced food intake and progressive loss of body, muscle and bone mass. Restoration of feeding, GDF15 neutralization or muscle Atf4 deletion substantially attenuated the wasting phenotype. Mechanistically, March5 interacted with ATF4 and promoted its ubiquitination at K92, thereby limiting ATF4 stability and Gdf15 expression. Conversely, muscle March5 gain-of-function or pharmacological attenuation of ATF4 signaling improved feeding, body composition and physical performance in aged mice. These findings define a March5-ATF4-GDF15 endocrine stress axis linking muscle proteostatic control to feeding suppression and systemic body-composition remodeling.

physiology↗

bioRxiv2026

Human hindbrain organoids with segment-specific 5-HT neurons for motor modulation

The serotonergic system regulates human mood, reward, and motor control, and its impairment contributes to debilitating psychiatric disorders. Serotonergic neurons (SNs) arise predominantly in the hindbrain and acquire segment-specific identities and functions; however, the lack of human models remains a challenge to understanding the human serotonergic system. Here, we generate human serotonergic-enriched rostral and caudal hindbrain organoids (hsrHOs and hscHOs) that produce segment-specific SNs with regional identities corresponding to rhombomeres r2-r3 and r5-r8, respectively. hsrHOs and hscHOs produce SNs that recapitulate their in vivo counterparts in transcriptomic profiles, function, and ascending or descending projection preferences. Assembly with human neuromusculoskeletal organoids enables modeling of serotonergic modulation of motor control. This system further reveals that deficiency of the schizophrenia risk gene DISC1 disrupts human serotonergic development and impairs motor modulation. Together, our study establishes a human organoid platform for modeling development, circuit function and disease-associated dysfunction of the serotonergic modulatory system.

neuroscience↗

bioRxiv2023

Accelerated design of Escherichia coli genomes with reduced size using a whole-cell model and machine learning surrogate

Whole-cell models (WCMs) are multi-scale computational models that aim to simulate the function of all genes and processes within a cell. This approach is promising for designing genomes tailored for specific tasks. However, a limitation of WCMs is their long runtime. Here, we show how machine learning (ML) surrogates can be used to address this limitation by training them on WCM data to accurately predict cell division. Our ML surrogate achieves a 95% reduction in computational time compared to the original WCM. We then show that the surrogate and a genome-design algorithm can generate an in silico reduced E. coli cell, where 40% of the genes included in the WCM were removed. The reduced genome is validated using the WCM and interpreted biologically using gene ontology analysis. This approach illustrates how the holistic understanding gained from a WCM can be leveraged for synthetic biology tasks while reducing its runtime.

bioengineering↗

bioRxiv2019

Predominance of positive epistasis among drug resistance-associated mutations in HIV-1 protease

Drug-resistant mutations often have deleterious impacts on replication fitness, posing a fitness cost that can only be overcome by compensatory mutations. However, the role of fitness cost in the evolution of drug resistance has often been overlooked in clinical studies or in vitro selection experiments, as these observations only capture the outcome of drug selection. In this study, we systematically profile the fitness landscape of resistance-associated sites in HIV-1 protease using deep mutational scanning. We construct a mutant library covering combinations of mutations at 11 sites in HIV-1 protease, all of which are associated with resistance to protease inhibitors in clinic. Using deep sequencing, we quantify the fitness of thousands of HIV-1 protease mutants after multiple cycles of replication in human T cells. Although the majority of resistance-associated mutations have deleterious effects on viral replication, we find that epistasis among resistance-associated mutations is predominantly positive. Furthermore, our fitness data are consistent with genetic interactions inferred directly from HIV sequence data of patients. Fitness valleys formed by strong positive epistasis reduce the likelihood of reversal of drug resistance mutations. Overall, our results support the view that strong compensatory effects are involved in the emergence of clinically observed resistance mutations and provide insights to understanding fitness barriers in the evolution and reversion of drug resistance.

evolutionary biology↗