Hui Xue

Two evolutionary histories in one nucleus: genome remodeling and allelic regulation underlying heterosis in hybrid oil palm

This study investigates the genetic basis of heterosis in hybrid oil palm by analyzing haplotype-resolved genomes and transcriptomes, revealing complementary gene expression and regulatory mechanisms.

A Stress-Adaptive Lipid Kinase Axis Defines Metabolic Vulnerabilities in Neuroendocrine Prostate Cancer

This study identifies a stress-lipid kinase axis in NEPC driven by PIKfyve, revealing a synthetic vulnerability between PIKfyve and FASN that can be exploited for therapeutic targeting.

Detecting domain-level organization in genome-wide association study summary statistics using frequency-impact-reliability profiles

This paper introduces FIR-GWAS, a framework that reveals domain-level organization in GWAS summary statistics by analyzing frequency-impact-reliability profiles across multiple traits and species.

Sex stratified analyses enable new genetic insights into brain imaging phenotypes

The paper performs sex-stratified genetic analyses of neuroimaging phenotypes, finding new associations and improving heritability estimates when analyzing males and females separately.

Longitudinal single-cell profiling links RUNX1T1 to lineage transition and maintenance in treatment-induced neuroendocrine prostate cancer

This study uses longitudinal single-cell RNA sequencing to identify RUNX1T1 as a key regulator in the transition and maintenance of treatment-induced neuroendocrine prostate cancer.

Haplotype-resolved assemblies provide insights into genomic makeup of the oldest grapevine cultivar (Munage) in Xinjiang

This study presents haplotype-resolved genome assemblies for two Munage grapevine cultivars, identifies genes associated with fruit color traits, and highlights adaptive selection in ancient grapevines.

Integrative genomics reveals the polygenic basis of seedlessness in grapevine

This study identifies the polygenic basis of seedlessness in grapevines using integrative genomics, revealing key genes and a machine learning model with 99% prediction accuracy.