Biology subjects

Wang, K. C.

Publications and source records attributed to Wang, K. C..

4 recordsLinked to original sources

bioRxiv2026

Evolutionary Trajectories of Ciprofloxacin Resistance in P. aeruginosa Lung Biofilms: Mutation Dynamics, Metabolomic Shifts, and Collateral Sensitivity

The evolution of antimicrobial resistance (AMR) in chronic biofilms is often viewed as a unidirectional path toward higher fitness, yet the metabolic constraints governing these trajectories remain poorly understood. We performed a four-passage evolution experiment using a murine lung biofilm model to assess the impact of prolonged ciprofloxacin (CIP) exposure on resistance and host response. This approach integrated population-level adaptive dynamics, whole-genome sequencing (WGS), and NMR-based metabolomics, alongside histopathology and cytokine analysis. Prolonged CIP treatment accelerated resistance, with isolates reaching MICs of 8-12 mg/L (a 32- to 48-fold increase) by the fourth passage. WGS revealed distinct evolutionary trajectories: control isolates accumulated metabolic and regulatory mutations without susceptibility changes, while CIP-treated isolates exhibited a stepwise progression from metabolic adaptation to high-level resistance, marked by early nfxB and late gyrA mutations. Metabolomic profiling revealed progressive divergence, with PCA identifying the nfxB genotype as the primary driver of variation (49.1% of variance). This resistant metabolic state was characterized by the depletion of central carbon metabolites, including glucose and tyrosine, alongside the accumulation of essential amino acids. Importantly, these changes were accompanied by a distinct trade-off; high-level CIP resistance triggered collateral sensitivity to tobramycin and aztreonam. While CIP treatment ultimately reduced neutrophilic inflammation (p = 0.011) and mucin production (p = 0.0496), early-passage lungs exhibited transient elevations in pro-inflammatory cytokines (CXCL2, MMP2, TNF-). In conclusion, the adaptive trajectory to CIP resistance involves metabolic rewiring and collateral sensitivity, offering a framework to exploit the evolutionary costs of resistance in chronic biofilm infections.

microbiology↗

bioRxiv2023

Transcription factor stoichiometry, motif affinity and syntax regulate single-cell chromatin dynamics during fibroblast reprogramming to pluripotency

The concentration and stoichiometry of transcription factors (TFs) determine cellular identity and can be manipulated to drive cell state transitions. Understanding how changes in TF concentration regulate chromatin state and expression across cell state transitions remains a challenge. We investigated this relationship by profiling chromatin accessibility and gene expression at single-cell resolution across a densely sampled time course of reprogramming human fibroblasts to induced pluripotent stem cells via ectopic expression of OCT4, SOX2, KLF4, and MYC (OSKM). Using deep learning sequence models of base-resolution chromatin accessibility profiles across cell states, we deciphered predictive transcription factor (TF) motif syntax in regulatory elements, inferred affinity- and concentration-dependent dynamics of TF footprints, linked peaks to putative target genes, and elucidated rewiring of cis-regulatory networks. Our models reveal that early in reprogramming, OSK, at supraphysiological concentrations, rapidly open transient regulatory elements by occupying non-canonical low-affinity binding sites. As OSK concentration falls, the accessibility of these transient elements decays as a function of motif affinity. We find that these OSK-dependent transient elements sequester the somatic TF AP-1. This redistribution is strongly associated with the silencing of fibroblast-specific genes within individual nuclei. Together, our integrated single-cell resource and models reveal insights into the cis-regulatory code of reprogramming at unprecedented resolution. We establish a quantitative, predictive framework that links TF stoichiometry, motif syntax, and somatic silencing to provide new perspectives on the control of cell identity by TFs during fate transitions.

genetics↗

bioRxiv2023

Schizophrenia Risk Mapping and Functional Engineering of the 3D Genome in Three Neuronal Subtypes

Common variants associated with schizophrenia are concentrated in non-coding regulatory sequences, but their precise target genes are context-dependent and impacted by cell-type-specific three-dimensional spatial chromatin organization. Here, we map long-range chromosomal conformations in isogenic human dopaminergic, GABAergic, and glutamatergic neurons to track developmentally programmed shifts in the regulatory activity of schizophrenia risk loci. Massive repressive compartmentalization, concomitant with the emergence of hundreds of neuron-specific multi-valent chromatin architectural stripes, occurs during neuronal differentiation, with genes interconnected to genetic risk loci through these long-range chromatin structures differing in their biological roles from genes more proximal to sequences conferring heritable risk. Chemically induced CRISPR-guided chromosomal loop-engineering for the proximal risk gene SNAP91 and distal risk gene BHLHE22 profoundly alters synaptic development and functional activity. Our findings highlight the large-scale cell-type-specific reorganization of chromosomal conformations at schizophrenia risk loci during neurodevelopment and establish a causal link between risk-associated gene-regulatory loop structures and neuronal function.

genomics↗

bioRxiv2022

Integrative single-cell analysis of cardiogenesis identifies developmental trajectories and non-coding mutations in congenital heart disease

Congenital heart defects, the most common birth disorders, are the clinical manifestation of anomalies in fetal heart development - a complex process involving dynamic spatiotemporal coordination among various precursor cell lineages. This complexity underlies the incomplete understanding of the genetic architecture of congenital heart diseases (CHDs). To define the multi-cellular epigenomic and transcriptional landscape of cardiac cellular development, we generated single-cell chromatin accessibility maps of human fetal heart tissues. We identified eight major differentiation trajectories involving primary cardiac cell types, each associated with dynamic transcription factor (TF) activity signatures. We identified similarities and differences of regulatory landscapes of iPSC-derived cardiac cell types and their in vivo counterparts. We interpreted deep learning models that predict cell-type resolved, base-resolution chromatin accessibility profiles from DNA sequence to decipher underlying TF motif lexicons and infer the regulatory impact of non-coding variants. De novo mutations predicted to affect chromatin accessibility in arterial endothelium were enriched in CHD cases versus controls. We used CRISPR-based perturbations to validate an enhancer harboring a nominated regulatory CHD mutation, linking it to effects on the expression of a known CHD gene JARID2. Together, this work defines the cell-type resolved cis-regulatory sequence determinants of heart development and identifies disruption of cell type-specific regulatory elements as a component of the genetic etiology of CHD.

genomics↗