Shunmin He

RNAcentral in 2026: Genes and literature integration

RNAcentral integrates literature and gene-level data to enhance non-coding RNA sequence analysis and functional understanding.

Mitochondrial Genome Variants and Nuclear Mitochondrial DNA Segments in 7331 Individuals from NyuWa and 1KGP

This study analyzes mitochondrial DNA variants and nuclear mitochondrial DNA segments in 7331 individuals from NyuWa and 1KGP, identifying common and ultra-rare NUMTs and linking mtDNA variants to nuclear DNA variants.

The Pathogen Adaptation of HLA Alleles and the Correlation with Autoimmune Diseases based on the HLA Diversity Resource in the Han Chinese

The paper investigates HLA allele adaptation to pathogens and its correlation with autoimmune diseases in Han Chinese individuals, identifying specific alleles linked to both pathogen resistance and disease susceptibility.

NyuWa Genome Resource: Deep Whole Genome Sequencing Based Chinese Population Variation Profile and Reference Panel

The paper presents the NyuWa genome resource, a Chinese population-specific reference panel built from deep whole genome sequencing, which improves imputation accuracy and identifies novel variants.

SmProt: a reliable repository with comprehensive annotation of small proteins identified from ribosome profiling

SmProt provides a comprehensive and reliable repository of small proteins identified from ribosome profiling, including curated data from multiple species and sources.

Genome-wide analysis of mobile element insertions in human genomes

The paper reports a comprehensive map of 36,699 non-reference mobile element insertions (MEIs) from 5,675 human genomes and builds a database for public use.

Trading Genome Vulnerability for Stable Genetic Inheritance: Active Retrotransposons Help Maintain Pericentromeric Heterochromatin Required for Faithful Cell Division

The paper shows that active retrotransposons produce siRNAs that maintain pericentromeric heterochromatin, ensuring stable genetic inheritance in Drosophila cells.

Ennet: construction of potential cancer-driving networks based on somatic enhancer mutations only

Ennet identifies cancer-driving networks using somatic enhancer mutations, revealing known and novel networks across multiple cancer types.