Chao Tang

PhyloFM reconstructs continuous cell-fate dynamics using lineage constraints from single-cell data, improving accuracy in multiple biological systems.

This study benchmarks static gene regulatory network reconstruction and dynamic transition probing in single-cell foundation models across multiple datasets and reference networks.

The paper shows that δ-cell interactions modulate pancreatic islet Ca2+ oscillation patterns through somatostatin secretion and pharmacological/optogenetic perturbations, revealing a Hopf bifurcation mechanism.

This study shows that glycemia shifts induce a coordinated change in pancreatic islet Ca2+ oscillations, mediated by δ- and α-cells, which is impaired in diabetes.

This study shows excessive zinc reduces histone acetylation in mouse cardiomyocytes by downregulating acetyltransferases, not deacetylases, and links this to reduced Bmp4 expression.

This study shows that endurance exercise reduces miR-283 accumulation and bradyarrhythmia in Drosophila with miR-283 knockdown in LNvs.

This paper develops a novel peripherally acting alpha2A-adrenergic receptor antagonist, CDS479-2, which improves glucose control in diabetic mice without central side effects.

The paper investigates DNA-protein co-condensates, identifying two morphology transitions and growth dynamics governed by DNA-p53 interaction strength.

The paper quantifies cell morphology in C. elegans embryos, revealing that signaling pathways regulate both cell fate asymmetry and volume asymmetry.

The paper develops GRAB sensors for detecting neuropeptides with high specificity and sensitivity, enabling in vivo monitoring of their release and function.

The paper shows that overexpression of WHI7 bypasses the need for Mec1 and Rad53 in Saccharomyces cerevisiae, revealing a transcription-independent role in delaying G1/S transition during replication stress.

The paper shows that pancreatic α and β cells exhibit globally phase-locked Ca2+ oscillations with tunable phase shifts that set islet oscillation patterns.

The paper shows that scaling constraints shape the decoder structure in the Drosophila gap gene system, explaining mutants behavior and gene regulation without molecular details.

The paper develops a circuit model of olfactory processing in Drosophila that incorporates short-term plasticity and presynaptic inhibition to explain divisive normalization and adaptation in PN responses.

The paper develops a data-driven phase field model to simulate early C. elegans embryo morphogenesis using imaging data, revealing the roles of cell division and cell-cell attraction.

The paper develops CShaper, a deep-learning-based pipeline to generate a 4D morphological atlas of C. elegans embryos, characterizing cell shape, migration, and cell-cell contacts across development.

This study uses computational models to show that ratio-sensing in yeast galactose utilization arises from competition between carbon sources for transporters and transcription factors, and reveals design principles for synthetic biology applications.

Cellbow is a neural-network-based cell segmentation tool that achieves accurate and robust segmentation of diverse cell types in both fluorescent and bright-field images.

The paper shows yeast cells use phosphorylation of Whi5 to temporarily remember environmental signals and decide to enter the cell cycle.

The paper challenges a model proposing that protein synthesis increases in pre-Start G1, finding that Whi5 concentration remains constant and Cln3 increase is not due to synthesis.

The paper quantifies and phenotypes early embryonic morphogenesis in C. elegans using a reference embryo and system-level phenotyping methods to analyze 1818 mutant embryos.

The paper shows that the optimal odor-receptor interaction network is sparse and follows a log-normal distribution, enhancing decoding accuracy in olfactory systems.

This study shows that Whi5 in yeast acts as an environmental indicator that coordinates cell growth and division by adjusting cell cycle entry based on environmental conditions.

The paper explains why microbes use sequential or simultaneous carbon source consumption strategies by linking them to metabolic network topology and protein resource allocation.