Assistant Professor @UCLA |
Interested in using synthetic biology to better understand development and control cell fate | Views and opinions change over time
Spatial MOtif REcognition (SMORE) is now peer-reviewed and out at @GenomeBiology Updates include analysis of sequencing-based spatial transcriptomics (Slide-Seq) and a whole brain
dataset with ~4 million cells, showing versatility and scalability of SMORE. https://t.co/J4AsN3U7uv
Have you used spatial genomics to map cell types in your favorite tissue? Are you interested in finding patterns in your results? We’ve developed a method just for you. The first paper from our lab is now on bioRxiv!
https://t.co/uljZZM7Dfb
1/14
On behalf of the amazing team in @JswLab, we’re excited to share PEtracer (https://t.co/YpIf4tazbw) a prime editing-based evolving lineage recorder compatible with both scRNA-seq and high-resolution imaging readouts in intact tissue. By applying PEtracer in a syngeneic mouse model of lung metastasis, we dissect how cell-intrinsic and environmental factors coordinately shape tumor evolution in vivo.
@arjunrajlab@adamlmaclean Kai Hoa from Amjad Askary's lab @AskaryLab on recording signaling histories in single cells via INSCRIBE
Check out their bioRxiv:
https://t.co/I5btB19FLW
#SysBioSC2025
Spatial proteomics is here, but spatial functional proteomics?
Here is our Nature BME paper on spatial protein interactomics (https://t.co/xGZ6DUQTWh) illuminating how 47 proteins co-localize/ interact within 20 nm and their function in tissues.
@naturemethods@rita_strack
So we beat on. Gene/cell therapies often use proteins that could be recognized/rejected as non-self by our immune system. We combine algorithms to build proteins that are therapeutically relevant and can masquerade as our own parts https://t.co/8UqRE8TewB
Nice article in Scientific American about our work on outer ear evolution and a complimentary study from the lab of Maksim Plikus on role of unique lipids in mammalian ear cartilage. @MathiThiru95@USCStemCell@KECKSchool_USC
https://t.co/ugFmdQXH5v
How does one (signaling) arm know what the other is doing in the cell? Through a network of bHLH transcription factors obviously! Our work showing how neural stem cells integrate signals to coordinate a fate response is now out: https://t.co/w7v8LT8nki
A month ago we @vevo_ai announced that we have generated the largest single-cell perturbation atlas in history, Tahoe-100M. Today, we announce that we will fully open-source Tahoe-100M in Feb, as part of a collaboration with @NVIDIAHealth to train cell state models.
Spatial MOtif REcognition (SMORE) is now peer-reviewed and out at @GenomeBiology Updates include analysis of sequencing-based spatial transcriptomics (Slide-Seq) and a whole brain
dataset with ~4 million cells, showing versatility and scalability of SMORE. https://t.co/J4AsN3U7uv
Have you used spatial genomics to map cell types in your favorite tissue? Are you interested in finding patterns in your results? We’ve developed a method just for you. The first paper from our lab is now on bioRxiv!
https://t.co/uljZZM7Dfb
A dream come true: in 2004 I started thinking about counting microstates to predict gene expression with @JKondev Rob Phillips @HernanGGarcia. 20 years later we can measure them: https://t.co/fz6kKAsdpD Thank you @WJGreenleaf@bgrdoughty@MichaelaThinks Julia and all co-authors!
New Publication Alert!
our perspective of "Aging on a chip" and "Spatial Omics" in aging single cells.
Decoding senescence of aging single cells at the nexus of biomaterials, microfluidics, and spatial omics
npj Aging10, 57 (2024)
Link: https://t.co/X4xXrpOJbU
@CoulterBME
Check out our new review of molecular recording, exploring cutting-edge technologies and their transformative potential for biology. A collaborative effort across multiple labs—proud to have been part of this amazing team! 🌟
Incredibly excited that our paper linking single molecule states of TF binding to gene expression using quantitative thermodynamic models is out in Nature today. An amazing collaboration with the Bintu Lab. Congrats to Ben, Michaela, and Julia! https://t.co/4zjMOlOgVV
Our work describing molecular recording of sequential information by directing a chain of insertions with prime editor in mammalian cells is now published in @nchembio here - https://t.co/APV0w8fahi. Congratulations to Theresa Loveless, @CourtneyCarls_n, and the whole team!