Bo Huang

This study shows NUP98::KDM5A forms condensates preferentially at H3K4me3-rich loci, driving leukemogenic gene expression through chromatin engagement.

The paper introduces a generative model framework that maps protein sequences to microscopy images and vice versa, enabling virtual mutagenesis and functional motif analysis.

The paper integrates CAD blueprints with diffusion models to explicitly program protein shapes, demonstrating emergent functions through molecular design.

This study uses CRISPR screens to identify PTGES3 as a novel modulator of AR protein levels and function in prostate cancer, showing its role in therapy resistance.

RainBar enables pooled live-cell imaging with single-cell resolution by using optical barcoding to track perturbations and analyze dynamic phenotypes.

This study shows YAP and Mediator form transcriptionally active condensates through charge patterning, enabling signal integration in stem cells.

This paper designs de novo Rhodamine Binder (Rhobin) tags with high brightness, stability, and applicability in live-cell imaging and extreme conditions.

This study investigates how different fluorescent tags affect the phase separation ability of HP1α in vitro and shows that PEG-based crowding agents can alter phase separation behavior.

The paper develops a method and Python tool to generate flow cytometry-like data using accessible microscopes, showing comparable speed and improved sensitivity.

CELL-Diff generates protein images from sequences and vice versa, outperforming existing methods in fidelity.

The paper introduces Mantis, a high-throughput 4D microscope, and shrimPy, software for analyzing 4D data, to study cellular dynamics and responses to perturbations like viral infection.

CELL-E 2 translates protein sequences to images of subcellular localization and vice versa, enabling de novo protein design and generating novel nuclear localization signals.

CELL-E generates 2D probability density maps of protein localization using text-to-image transformers, avoiding discrete class annotations.

The paper finds that high neuronal activity and high functional connectivity are mutually exclusive in both zebrafish and human brains using calcium imaging and fMRI data.

The paper describes a method combining CRISPR/Cas and fluorescence cell sorting to efficiently tag and purify endogenous human proteins for structural analysis using cryo-EM.

This work improves fluorescence microscopy image denoising by combining self-supervised and transfer learning to reduce the need for task-specific training data.

The paper identifies stochastic variability in viral tegument protein abundance as a mechanism for probabilistic bet hedging between viral replication and latency in herpesvirus.

Long single-stranded DNA donors enable gene-sized CRISPR knock-in in human cells, though an author update notes subsequent long-read sequencing revealed high imprecise integration rates for both donor types.

Long-read sequencing with the knock-knock pipeline profiles CRISPR knock-in repair, finding perfect homology-directed repair is often a minority of integration events and mis-integration varies by context.

This study uses live-cell imaging to show that Sox2 transcription occurs without requiring enhancer proximity in embryonic stem cells.

The paper improves split fluorescent proteins for better brightness and develops a new synaptic marker for visualizing synapses in living animals.