Bo Zhou

This study develops VHL molecular glues that selectively degrade caspase-2, expanding the substrate range of VHL-based degraders and providing tools to study caspase-2's role in apoptosis and stress.

The paper discovers a VHL molecular glue degrader of GEMIN3 using Picowell RNA-seq screening, showing how it targets GEMIN3 for degradation through ternary complex formation.

The paper introduces an interleaved intersectional reporter (IIR) strategy to improve genetic lineage tracing specificity by combining inducible CreER with constitutively active Dre, enabling precise tracking and functional analysis of cardiac fibroblasts.

GVRP improves variant calling in non-human species by refining DeepVariant results with a machine learning model trained on GIAB data.

The paper develops a method to detect complex structural variants across human genomes and finds they are associated with phenotypic hotspots and evolutionary changes.

DeepMosaic detects mosaic single nucleotide variants without control samples using deep convolutional neural networks, achieving high accuracy and uncovering many variants missed by existing methods.

The paper analyzes the Human Pangenome to identify conserved and polymorphic structural variations across diverse haploid assemblies.

The paper evaluates brain somatic mosaicism in the adult human to identify rules governing cellular distribution during embryogenesis.

This study identifies somatic SNVs in non-cancerous human brain tissues and establishes best practices for detecting low-frequency variants.

The paper introduces a machine learning method to detect somatic L1 insertions in human brain tissue, revealing their widespread distribution in neurons and glia and potential role in neuropsychiatric diseases.

The paper shows that co-expressing NGN2 with EMX1 generates homogeneous glutamatergic neurons from human pluripotent stem cells, with altered transcriptional output and chromatin binding compared to NGN2 alone.

The paper introduces CTLR-Seq, a method to resolve complex genomic regions with high accuracy, and applies it to study CNVs associated with schizophrenia and autism.

This study provides haplotype-resolved genome characterization of a marmoset ESC line and demonstrates CRISPR/Cas9 targeting and neuronal differentiation capabilities.

The paper presents sequencing data from the GenoCare 1600 platform, demonstrating high accuracy and clinical applicability for microbial and viral samples.

A 343-primer-pair multiplex PCR assay enables electrophoretic detection and full-genome sequencing of SARS-CoV-2 across 8 to half a million viral copies from 13 clinical specimens.

The paper investigates the molecular effects of 16p11.2 CNVs on gene expression and DNA methylation using an iPSC-to-iN model and identifies potential contributing genes.

The paper shows that full-length LINE-1s with functional ORFs are under stronger host-level selection in human genomes, as indicated by higher selection coefficients and SNP depletion in ORFs.

The paper shows ApoE variants differentially affect neuronal signaling and synaptogenesis, mirroring their impact on Alzheimer’s disease risk.

The paper introduces BEAPR, a computational method to detect allele-specific binding of RNA-binding proteins, showing it outperforms existing methods and identifies disease-relevant variants.

The paper provides a comprehensive whole-genome analysis of K562, identifying genomic structural features and their impact on functional genomics data.

This paper provides a haplotype-resolved genome analysis of the HepG2 cell line, identifying genomic features and allele-specific regulation to support functional genomics studies.

The paper generates deep re-sequencing datasets for the Venter/HuRef genome to develop and benchmark genome analysis tools using Illumina sequencing.

The paper compares low-coverage whole-genome sequencing strategies to array-based methods for detecting copy number variations, finding WGS more efficient and accurate.