Professional Education


  • Doctor of Philosophy, California Institute of Technology (2023)
  • PhD, Caltech, System and synthetic biology (2023)

Stanford Advisors


All Publications


  • CRISPR-Cas13d-Mediated Targeting of a Context-Specific Essential Gene Enables Selective Elimination of Uveal Melanoma. bioRxiv : the preprint server for biology Stauber, D., Sosnick, L., Ma, Y., Pimcharoen, S., Lawanprasert, A., Murthy, N., Myung, D., Qi, L. S. 2025

    Abstract

    Uveal melanoma, the most common eye cancer in adults, remains limited to surgical intervention and chemotherapy, with a dismal survival rate that has not improved in over 50 years. To address this therapeutic impasse, we systematically analyzed public gene expression, RNAi, and CRISPR knockout datasets and identified RASGRP3 as an essential gene specifically for uveal melanoma. RasGRP3 is uniquely overexpressed and essential for survival in uveal melanoma cells, but dispensable in healthy cells. RasGRP3 remains "undruggable" due to its intracellular localization and lack of targetable binding pockets. To overcome this, we developed a CRISPR-Cas13d RNA-targeting therapeutic that specifically knocks down RasGRP3 mRNA. This Cas13d-based therapeutic mediates selective uveal melanoma killing through two synergistic mechanisms: (i) direct silencing of the essential RasGRP3 transcript, and (ii) collateral RNA degradation triggered by the cleavage of overexpressed RasGRP3. When delivered via optimized lipid nanoparticles encoding Cas13d mRNA and guide RNA, this strategy eliminated >97% of uveal melanoma cells while sparing healthy cells, including retinal pigment epithelial cells. This approach outperformed conventional Cas9 and siRNA methods in potency without inducing permanent genomic alterations. Our findings establish a RNA-targeting therapeutic for uveal melanoma and a framework for Cas13d-based interventions against broad "undruggable" cancers.

    View details for DOI 10.1101/2025.08.21.671629

    View details for PubMedID 40894775

    View details for PubMedCentralID PMC12393512

  • Programmable control of spatial transcriptome in live cells and neurons. Nature Han, M., Fu, M. L., Zhu, Y., Choi, A. A., Li, E., Bezney, J., Cai, S., Miles, L., Ma, Y., Qi, L. S. 2025

    Abstract

    Spatial RNA organization has a pivotal role in diverse cellular processes and diseases1-4. However, functional implications of the spatial transcriptome remain largely unexplored due to limited technologies for perturbing endogenous RNA within specific subcellular regions1,5. Here we present CRISPR-mediated transcriptome organization (CRISPR-TO), a system that harnesses RNA-guided, nuclease-dead dCas13 for programmable control of endogenous RNA localization in live cells. CRISPR-TO enables targeted localization of endogenous RNAs to diverse subcellular compartments, including the outer mitochondrial membrane, p-bodies, stress granules, telomeres and nuclear stress bodies, across various cell types. It allows for inducible and reversible bidirectional RNA transport along microtubules via motor proteins, facilitating real-time manipulation and monitoring of RNA localization dynamics in living cells. In primary cortical neurons, we demonstrate that repositioned mRNAs undergo local translation along neurites and at neurite tips, and co-transport with ribosomes, with β-actin mRNA localization enhancing the formation of dynamic filopodial protrusions and inhibiting axonal regeneration. CRISPR-TO-enabled screening in primary neurons identifies Stmn2 mRNA localization as a driver of neurite outgrowth. By enabling large-scale perturbation of the spatial transcriptome, CRISPR-TO bridges a critical gap left by sequencing and imaging technologies, offering a versatile platform for high-throughput functional interrogation of RNA localization in living cells and organisms.

    View details for DOI 10.1038/s41586-025-09020-z

    View details for PubMedID 40399675

    View details for PubMedCentralID 9346928

  • EasyFlow: An open-source, user-friendly cytometry analyzer with graphic user interface (GUI). PloS one Ma, Y., Eizenberg-Magar, I., Antebi, Y. 2024; 19 (11): e0308873

    Abstract

    Flow cytometry enables quantitative measurements of fluorescence in single cells. The technique was widely used for immunology to identify populations with different surface protein markers. More recently, the usage of flow cytometry has been extended to additional readouts, including intracellular proteins and fluorescent protein transgenes, and is widely utilized to study developmental biology, systems biology, microbiology, and many other fields. A common file format (FCS format, defined by the International Society for Advancement of Cytometry (ISAC)) has been universally adopted, facilitating data exchange between different machines. A diverse spectrum of software packages has been developed for the analysis of flow cytometry data. However, those are either 1) costly proprietary softwares, 2) open source packages with prerequisite installation of R or Python and sometimes require users to have experience in coding, or 3) online tools that are limiting for analysis of large data sets. Here, we present EasyFlow, an open-source flow cytometry analysis graphic user interface (GUI) based on Matlab or Python, that can be installed and run locally across platforms (Windows, MacOS, and Linux) without requiring previous coding knowledge. The Python version (EasyFlowQ) is also developed on a popular plotting framework (Matplotlib) and modern user interface toolkit (Qt), allowing more advanced users to customize and keep contributing to the software, as well as its tutorials. Overall, EasyFlow serves as a simple-to-use tool for inexperienced users with little coding experience to use locally, as well as a platform for advanced users to further customize for their own needs.

    View details for DOI 10.1371/journal.pone.0308873

    View details for PubMedID 39536028

  • The realization of CRISPR gene therapy. Nature chemical biology Ma, Y., Qi, L. S. 2024

    View details for DOI 10.1038/s41589-024-01645-x

    View details for PubMedID 38872012

    View details for PubMedCentralID 9508844

  • Tuning Methylation-Dependent Silencing Dynamics by Synthetic Modulation of CpG Density. ACS synthetic biology Ma, Y., Budde, M. W., Zhu, J., Elowitz, M. B. 2023

    Abstract

    Methylation of cytosines in CG dinucleotides (CpGs) within promoters has been shown to lead to gene silencing in mammals in natural contexts. Recently, engineered recruitment of methyltransferases (DNMTs) at specific loci was shown to be sufficient to silence synthetic and endogenous gene expression through this mechanism. A critical parameter for DNA methylation-based silencing is the distribution of CpGs within the target promoter. However, how the number or density of CpGs in the target promoter affects the dynamics of silencing by DNMT recruitment has remained unclear. Here, we constructed a library of promoters with systematically varying CpG content, and analyzed the rate of silencing in response to recruitment of DNMT. We observed a tight correlation between silencing rate and CpG content. Further, methylation-specific analysis revealed a constant accumulation rate of methylation at the promoter after DNMT recruitment. We identified a single CpG site between TATA box and transcription start site (TSS) that accounted for a substantial part of the difference in silencing rates between promoters with differing CpG content, indicating that certain residues play disproportionate roles in controlling silencing. Together, these results provide a library of promoters for synthetic epigenetic and gene regulation applications, as well as insights into the regulatory link between CpG content and silencing rate.

    View details for DOI 10.1021/acssynbio.3c00078

    View details for PubMedID 37572041

  • Tuning methylation-dependent silencing dynamics by synthetic modulation of CpG density. bioRxiv : the preprint server for biology Ma, Y., Budde, M. W., Zhu, J., Elowitz, M. B. 2023

    Abstract

    Methylation of cytosines in CG dinucleotides (CpGs) within promoters has been shown to lead to gene silencing in mammals in natural contexts. Recently, engineered recruitment of methyltransferases (DNMTs) at specific loci was shown to be sufficient to silence synthetic and endogenous gene expression through this mechanism. A critical parameter for DNA methylation-based silencing is the distribution of CpGs within the target promoter. However, how the number or density of CpGs in the target promoter affects the dynamics of silencing by DNMT recruitment has remained unclear. Here we constructed a library of promoters with systematically varying CpG content, and analyzed the rate of silencing in response to recruitment of DNMT. We observed a tight correlation between silencing rate and CpG content. Further, methylation-specific analysis revealed a constant accumulation rate of methylation at the promoter after DNMT recruitment. We identified a single CpG site between TATA box and transcription start site (TSS) that accounted for a substantial part of the difference in silencing rates between promoters with differing CpG content, indicating that certain residues play disproportionate roles in controlling silencing. Together, these results provide a library of promoters for synthetic epigenetic and gene regulation applications, as well as insights into the regulatory link between CpG content and silencing rate.

    View details for DOI 10.1101/2023.05.30.542205

    View details for PubMedID 37398290

    View details for PubMedCentralID PMC10312471

  • Synthetic mammalian signaling circuits for robust cell population control. Cell Ma, Y., Budde, M. W., Mayalu, M. N., Zhu, J., Lu, A. C., Murray, R. M., Elowitz, M. B. 2022

    Abstract

    In multicellular organisms, cells actively sense and control their own population density. Synthetic mammalian quorum-sensing circuits could provide insight into principles of population control and extend cell therapies. However, a key challenge is reducing their inherent sensitivity to "cheater" mutations that evade control. Here, we repurposed the plant hormone auxin to enable orthogonal mammalian cell-cell communication and quorum sensing. We designed a paradoxical population control circuit, termed "Paradaux," in which auxin stimulates and inhibits net cell growth at different concentrations. This circuit limited population size over extended timescales of up to 42days of continuous culture. By contrast, when operating in a non-paradoxical regime, population control became more susceptible to mutational escape. These results establish auxin as a versatile "private" communication system and demonstrate that paradoxical circuit architectures can provide robust population control.

    View details for DOI 10.1016/j.cell.2022.01.026

    View details for PubMedID 35235768