X. Gu

This study investigates the PK/PD relationship of tilmicosin against M. hyopneumoniae, identifies resistance mechanisms, and suggests optimal dosing regimens.

The paper introduces Δ-dN/dS criteria to distinguish selection modes in gene evolution and applies them to vertebrate genes, showing most exhibit strong or weak positive selection rather than neutral evolution.

This paper identifies adaptive metabolic responses in pyrimidine metabolism as a mechanism of resistance to decitabine and 5-azacytidine, and shows that alternating these drugs with metabolic inhibitors can extend DNMT1 depletion and delay leukemia relapse.

The paper traces the evolutionary ages of cancer-driving sites using somatic mutations and finds that sites mutated in more cancer types are generally older.

This study develops a generalized background selection model to evaluate the relative impacts of background selection and selective sweeps on genetic diversity and divergence, finding that background selection dominates in low-recombination regions.

The paper investigates arsenite's effects on IL-1beta secretion, mitochondrial respiration, and myocardial ischemia-reperfusion injury in rats.

This study uses CRISPR/Cas9 to create mice lacking human glucagon to study human islet glucagon secretion in vivo after transplantation.

This study evaluates the mutant selection window and killing effects of five antibiotics against Mycoplasma hyopneumoniae, finding that danofloxacin, tylosin, and doxycycline are more likely to promote resistance than tiamulin and valnemulin.

This study shows that transient VEGF-A overexpression in adipose tissue activates the sympathetic nervous system, enhancing lipolysis, browning, and energy expenditure.

The paper demonstrates that SHR and stele-derived small peptides coordinate to rebuild functional Casparian strips in non-endodermal cells through two parallel signaling systems.

The paper compares selection pressures on human genes in cancer and normal cells using mutation-profile-based methods, finding differences in selection pressures and their impact on cancer gene classification.