Biology subjects

Obbad, K.

Publications and source records attributed to Obbad, K..

5 recordsLinked to original sources

bioRxiv2026

Systematic mapping of enhancers, silencers, and topological elements with prime editing deletion screens

Noncoding regulatory elements in the human genome can control gene expression through distinct mechanisms, including acting as enhancers, silencers, or topological elements. However, we lack tools to identify all such classes systematically and quantify their effects on gene expression in an endogenous genomic context. Here we develop Swap-seq, a method that combines pooled twin prime editing with flow-sorting to delete hundreds of endogenous regulatory sequences and measure their quantitative effects on the expression of a nearby gene. We apply Swap-seq to dissect the regulatory elements that control PPIF expression in THP-1 monocytes. We quantify the effects of distal and intronic enhancers, characterize CTCF insulators, and discover a silencer that regulates distal genes through histone deacetylase (HDAC)-mediated repression of neighboring enhancers. Hundreds of other genomic elements share its chromatin signatures and transcription factor binding sites, suggesting that this silencer represents a broader class of repressive elements. We leverage Swap-seq data to benchmark sequence-to-function models and show that they often capture the local activity of regulatory elements but fail to link them to distal target genes. Swap-seq thus provides a generalizable tool to discover regulatory elements across mechanistic classes, characterize their effects on gene expression, and generate large-scale datasets for evaluating sequence-to-function models.

genomics↗

bioRxiv2026

Targeting DNMT1 augments anti-tumor CD8⁺ T cell function

Chronic stimulation of CD8 T cells within the tumor microenvironment (TME) induces a hypofunctional state characterized by diminished cytotoxicity and functionally impaired anti-tumor function, known as exhaustion. Exhaustion is associated with epigenetic changes that remain relatively stable despite interventions like immune checkpoint inhibition (ICI). Although epigenetic changes are potentially reversible, reports of therapeutic strategies to effectively restore function in exhausted CD8 T cells remain limited. Here, we report DNA methyltransferase 1 (DNMT1) inhibition (DNMT1i) in counteracting CD8+ T cell dysfunction during the anti-tumor response. We show that DNMT1i synergizes with ICI to rescue the tumor cell killing activity of chronically stimulated CD8 T cells in a melanoma model. DNMT1i mitigates transcriptional features of exhaustion while inducing a divergent effector program. DNMT1i attenuates the global increase in chromatin accessibility associated with exhaustion and enables epigenetic remodeling of the exhausted chromatin landscape upon restimulation. Finally, DNMT1i enhances the effector function of melanoma patient-derived tumor infiltrating lymphocytes after prolonged ex vivo expansion. These studies establish DNMT1 targeting as a promising strategy to counteract CD8 T cell exhaustion and potentiate ICI efficacy.

immunology↗

bioRxiv2025

A continuous landscape of signaling encodes a corresponding landscape of CAR T cell phenotype

Cytokine signaling is critical to the function of natural immune cells and engineered immune cell therapies such as chimeric antigen receptor (CAR) T cells. It remains unclear how the limited set of signal transducers and activators of transcription (STATs) and other proteins activated by these cytokine receptors can encode the observed diversity of immune cell phenotypes. To understand how signaling downstream of cytokines control immune cell phenotype, we sought to map the structure of Janus kinase (JAK)/STAT signaling domains to cell signaling and resulting CAR T cell function. We recombined 14 signaling motifs to construct a library of [~]30,000 constitutively active synthetic cytokine receptors (SCRs) with intracellular domains composed of novel signaling motif combinations that activate different signaling cascades. We experimentally tested [~]450 SCRs which generated a range of CAR T cell memory, cytotoxicity, and proliferation. SCRs with pSTAT1 and 3 signaling generated effector memory CAR T cells, while SCRs with strong pSTAT5 generated effector CAR T cells with potent anti-tumor activity. To map the structure-signaling-phenotype landscape we trained models to predict signaling and CAR T cell phenotype that result from varied motif combinations. From neural network predictions we identified features, including strong STAT5 and Shc signaling, that promote unsafe autonomous CAR T cell proliferation. Models also revealed a trade-off between memory and cytotoxicity, with a Pareto front encoded by a continuous change in signaling. These results demonstrate that recombination of a limited set of signaling motifs creates a continuous spectrum of signaling that encodes a corresponding spectrum of cell phenotype. This work synthetically expands the combinatorial space of JAK/STAT signaling and provides a foundation for rational design of CAR T cells with improved cytotoxicity, memory, and safety profiles. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=83 SRC="FIGDIR/small/658149v2_ufig1.gif" ALT="Figure 1"> View larger version (27K): org.highwire.dtl.DTLVardef@cc1498org.highwire.dtl.DTLVardef@5c2864org.highwire.dtl.DTLVardef@5fc8b3org.highwire.dtl.DTLVardef@719f8f_HPS_FORMAT_FIGEXP M_FIG C_FIG

synthetic biology↗

bioRxiv2019

Citizen-Centered, Auditable, and Privacy-Preserving Population Genomics

The growing number of health-data breaches, the use of genomic databases for law enforcement purposes and the lack of transparency of personal-genomics companies are raising unprecedented privacy concerns. To enable a secure exploration of genomic datasets with controlled and transparent data access, we propose a novel approach that combines cryptographic privacy-preserving technologies, such as homomorphic encryption and secure multi-party computation, with the auditability of blockchains. This approach provides strong security guarantees against realistic threat models by empowering individual citizens to decide who can query and access their genomic data and by ensuring end-to-end data confidentiality. Our open-source implementation supports queries on the encrypted genomic data of hundreds of thousands of individuals, with minimal overhead. Our work opens a path towards multi-functional, privacy-preserving genomic-data analysis.\n\nOne Sentence SummaryA citizen-centered open-source response to the privacy concerns that hinder population genomics, based on modern cryptography.

genomics↗

bioRxiv2016

Zebrafish Nanog is not required in embryonic cells

SUMMARY STATEMENTThe study of nanog mutants reveals that Nanog is required only for extraembryonic tissue development, not in embryonic cells.\n\nABSTRACTThe role of the zebrafish transcription factor Nanog has been controversial. It has been suggested that Nanog is primarily required for the formation of the extraembryonic yolk syncytial layer (YSL) and only indirectly regulates gene expression in embryonic cells. By contrast, a more recent study has proposed that Nanog directly regulates transcription in embryonic cells during zygotic genome activation. To clarify the roles of Nanog, we performed a detailed analysis of zebrafish nanog mutants. While zygotic nanog mutants survive to adulthood, maternal-zygotic and maternal mutants exhibit developmental arrest at the blastula stage. In the absence of Nanog, the YSL fails to form and embryonic tissue detaches from the yolk. Zygotic transcription of a subset of embryonic genes is affected in nanog mutants but both the YSL and embryonic phenotype can be rescued by providing nanog mRNA in YSL precursors. Notably, nanog mutant cells transplanted into wild-type hosts proliferate and contribute to embryonic tissues from all germ layers. These results indicate that zebrafish Nanog is necessary for YSL formation but is not directly required for embryonic cell differentiation.

developmental biology↗