X. Fang

This study identifies lncRNA-RMST as a SOX2 co-regulator that modulates miR-1251 expression, influencing cell proliferation and migration in Hirschsprung's disease.

This paper presents a method for site-specific covalent labeling of large RNAs using expanded genetic alphabet transcription and gold nanoparticles, validated by X-ray scattering interferometry.

This study shows that NRT1.1 in Arabidopsis roots coordinates with K+ channels to regulate uptake and allocation of potassium.

This study shows that the fibrinolytic niche regulates alveolar type 2 cell function and regeneration through the uPA-A6-CD44-ENaC cascade, with implications for lung injury repair.

The paper modifies phosphorylation sites of the Cre1 transcription factor in Trichoderma reesei to enhance cellulase production under glucose repression.

This study compares transcriptional responses to oncogenes in cancer-resistant and -prone species, finding that naked mole rat cells resist Ras-induced changes due to dampened PI3K/AKT signaling.

This study shows that ANXA2 depletion increases CMHs in rickettsia and Ebola virus infections by disrupting BBB tight junctions.

This study evolves E. coli under acid stress and identifies genetic and expression changes that enhance acid tolerance.

This study identifies a Clostridia-rich microbiota as a contributor to excessive bile acid excretion in IBS-D patients through metagenomic and metabolomic analyses.

The paper uses microarray analysis to identify differentially expressed genes in cervical cancer cells after modulating miR-205 and miR-141, revealing potential pathways and gene regulation.

This study investigates how viral lysis products affect the transcriptome of Prochlorococcus, revealing changes in tRNA abundance, nitrogen metabolism, and photosynthetic efficiency.

This study identifies and characterizes 16 uncharacterized transcription factors in E. coli K-12 MG1655 using computational prediction and experimental validation.

The paper investigates a classic bistable genetic switch in E. coli, revealing new cell fate potentials and switching kinetics beyond the classical two-state model.