Bo Huang Lab

Watching the inner life of a cell

[biohub @biohub]

New in @CellCellPress from Biohub Investigator @BoHuangLab: AI-designed proteins built from scratch (dubbed "Rhobins") work in living cells and match or even surpass fluorescent tags refined over decades of natural protein engineering.

Read the paper: https://t.co/yUziVyORa5

[Ruzbeh Mosadeghi @RMosadeghi]

What if pooled screens could measure dynamic cell behavior in real time?

RainBar uses fluorescent protein barcodes and cytoplasmic marker mediated segmentation to perform optical pooled screening in live cells.

Preprint: https://t.co/BNfD9o7zg0

[Bo Huang Lab @BoHuangLab]

HybriSeq: our venture into single-cell RNA profiling by combing in situ hybridization and single-cell sequencing. https://t.co/cLJtZChpch

[Bo Huang Lab @BoHuangLab]

Preprint here: https://t.co/1HIs8sW4oz

[Bo Huang Lab @BoHuangLab]

CELL-E 2 is ready to transform protein sequences to images as well as generate sequences from images. https://t.co/4Qzcrc4UR4

[Bo Huang Lab @BoHuangLab]

@LeonettiManuel @ASCBiology @czbiohub @labs_mann @loicaroyer @kchev Congratulations!!!

[Bo Huang Lab @BoHuangLab]

Endogenous tagging for structural biology https://t.co/KTp14NUgxO

[Bo Huang Lab @BoHuangLab]

Here is our first step towards predicting cellular activities of proteins from their amino-acid sequences using deep-learning: https://t.co/YAcfajy43x

[Bo Huang Lab @BoHuangLab]

The OpenCell is now open! https://t.co/bhR7ULTE6r

[Manuel Leonetti @LeonettiManuel]

A tribute to team science! @labs_mann @czbiohub @kchev @ADBxMPIB @preethiragh @loicaroyer @marcoyannic @mattersOfLight @JswLab @BoHuangLab @liilii_tweet @heracanaj @yeaarachelll + many other authors. So much fun to work with you all.

[Bo Huang Lab @BoHuangLab]

@olivier_debora @XiaoyuShi2 @IanSeiple @JiapeiChen @dhivkmr @ReiterLab @ExMicroscopy Here is the preprint:
https://t.co/J1WYcpolsx

[Journal of Cell Biology @JCellBiol]

LR-ExSIM and LR-ExSTORM reveal subcellular protein organization. @XiaoyuShi2, Qi Li and colleagues report the development of label-retention expansion microscopy (LR-ExM): https://t.co/tdrksqXQAu
@IanSeiple @BoHuangLab @jiapeichen @dhivkmr @ReiterLab @ExMicroscopy
#Technology

[Bo Huang Lab @BoHuangLab]

LR-ExM and eSPIM also helped resolving endosome structures and dynamics in zebrafish embryo.

[Xiaoyu Shi @XiaoyuShi2]

We are so happy to help Su Guo lab at UCSF use our new method LR-ExM to visualize Par-3 assisted polarized endosome dynamics in zebrafish. https://t.co/jrJ38eFbPj, @BoHuangLab, @IanSeiple . https://t.co/uESUd8vXU6

[Bo Huang Lab @BoHuangLab]

Thanks to @ReiterLab's cool work. LR-ExM is already helping discoveries in centrosome/ciliary structures.

[Journal of Cell Biology @JCellBiol]

Dhivya Kumar @dhivkmr, @ReiterLab and colleagues identify a multi-protein complex called DISCO (DIStal centriole COmplex) that is essential for the initiation of cilium assembly. https://t.co/08762DVUUp

#cilia #centriole #centrosome #cellbiology #biochemistry #cytoskeleton

[Bo Huang Lab @BoHuangLab]

Expansion microscopy gets help fron new anchors

[Journal of Cell Biology @JCellBiol]

.@XiaoyuShi2, Li, @IanSeiple @BoHuangLab et al. report the development of label-retention expansion #microscopy w/ a set of trifunctional anchors that not only prevent fluorescent signal loss but also enable high-efficiency labeling using SNAP & CLIP tags. https://t.co/tdrksqXQAu

[Bo Huang Lab @BoHuangLab]

Tagging and purification of endogenous proteins for single particle cryo-EM. Nice collaboration with @yifan_ucsf ! https://t.co/XFp3eykF2V

[Bo Huang Lab @BoHuangLab]

Just coming out in @CellCellPress: https://t.co/Xa7vmxTnit. Our incredible collaboration with the
@BivonaLabUCSF and @TulpuleLab shows how cytoplasmic protein granules formed by a variety of oncogenic kinase fusion mutants can activate RAS/MAPK signaling.

[Manuel Leonetti @LeonettiManuel]

Endogenous tagging + 3D live-cell imaging + mass-spec interactome = https://t.co/83dtszwHs7, an open-source map of the human proteome. So excited for our first release, wonderful collaboration with @labs_mann @loicaroyer & many other colleagues. @OpenCellCZB

[Bo Huang Lab @BoHuangLab]

Transfer learning solves the challenge of training data collection for supervised learning and also improves the performance of self-supervised learning. For image denoising, see bioRxiv https://t.co/KKZspCSFUc and GitHub https://t.co/H3JpwH9l5F

[Bo Huang Lab @BoHuangLab]

Here is a truly versatile and modular system for split enzymes, as demonstrated for split HaloTag: https://t.co/TNJJnVFHsc

[Bo Huang Lab @BoHuangLab]

Still more to be done, but here is the 3rd-gen of green-colored split fluorescent protein for protein tagging and signal amplification https://t.co/aqosKepzZ6