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Biology subjects

Pritykin, Y.

Publications and source records attributed to Pritykin, Y..

At least 19 recordsLinked to original sources

Prime editing enables high-throughput identification and characterization of selective MutSβ inhibitors

DNA mismatch repair (MMR) maintains genome stability but paradoxically drives expansion of pathogenic repeats responsible for trinucleotide repeat disorders. Attenuating repeat instability through targeted inhibition of MMR is therefore a therapeutic strategy of interest; however, progress is constrained by a lack of robust methods for defining and isolating MMR subpathways. We exploited features of prime editing to profile the effects of core MMR genes on thousands of programmed DNA mispairs in cells and resolved distinct MMR processes, including a noncanonical, loop-directed mechanism. Guided by these results, we built a set of scalable reporters that detect loss of separable MMR processes and screened ~72,000 small molecules for activity against MutS{beta}-directed MMR. This effort identified a novel series of MutS{beta} inhibitors that reduced (CAG)n expansion in a cell model. Altogether, this study establishes several methods for systematically interrogating MMR, with demonstrated capacity to identify inhibitors of therapeutic value.

bioengineering↗

Dendritic cell PD-L2 restrains intratumoral CD8+ T cell immunity

Blockade of inhibitory PD-1 signaling on T cells is a cornerstone of cancer immunotherapy, with current strategies targeting PD-1 or its ligand PD-L1. However, PD-1 engages an alternative ligand, PD-L2, whose role in tumor immunity remains poorly defined. Here, we show that PD-L2 is upregulated on intratumoral CCR7+ conventional dendritic cells (cDCs) in both mouse and human melanoma. Using genetic mouse models enabling selective ablation of PD-L1 or PD-L2 in cDCs, we identify a division of labor between these ligands: PD-L1 controls the size of the progenitor CD8 T cell pool in tumor-draining lymph nodes by modulating stem-like CD8 T cells, whereas PD-L2 limits progenitor exhausted CD8 T cell differentiation within the tumor microenvironment. Loss of PD-L2 in cDCs enhances cytotoxic CD8 T cell responses and suppresses tumor growth, particularly in tumors enriched for CCR7+ cDC1s. Consistent with this, increased CCR7+ cDC abundance is associated with poor prognosis in human cancers. Spatial transcriptomic analyses reveal co-localization of CCR7+ cDC1s and Tpex within CCL19hi niches, where cancer-associated fibroblasts serve as the predominant source of CCL19. Finally, intratumoral GM-CSF drives PD-L2 expression on CCR7+ cDCs, with Tpex and NK cells as major sources. Together, these findings establish cDC-associated PD-L1 and PD-L2 as spatially and functionally distinct checkpoints governing CD8 T cell differentiation. Our results suggest that the abundance of CCR7+ cDC1s may guide the choice between anti-PD-1 and anti-PD-L1 therapies and support the development of PD-L2-directed blockade.

immunology↗

Sequence-to-function modeling uncovers the context-specific grammar of Drosophila chromatin insulation

Chromatin is organized into self-interacting topologically associating domains partitioned by boundary elements that insulate adjacent domains and restrict regulatory interactions. Yet, how sequence context and combinations of factors dictate boundary strength remains incompletely understood. Here we present Domino, a deep learning framework that maps genomic sequences to quantitative insulation scores defined directly from single-nucleosome resolution Drosophila melanogaster Micro-C data. Unlike traditional transcription factor motif scanning, Domino captures broad sequence context to resolve the functional contributions of individual sequence elements. We validate model predictions through experimental perturbations of insulator sequences. Model interpretation yields insulation-associated motifs genome-wide. Across 7,311 embryonic boundaries, Domino reveals a comprehensive insulation grammar defined by just 24 primary motifs that account for 59% of the boundaries, with an average of only two motifs per motif-containing boundary. Beyond known factors, we identify the zinc-finger proteins Trem, CG4854 and CG17385 as previously unreported insulation factors. We uncover distance- and orientation-dependent motif synergy, including a strict orientation preference of the prominent architectural factor M1BP. Finally, Domino traces tissue-specific shifts in the insulator landscape from the embryo to larval and adult brains, nominating new brain-specific insulation motifs. In sum, Domino provides a generalizable framework for decoding the regulatory logic of 3D genome architecture.

genomics↗

Discovery of Tcf7 regulators with clonally-resolved CRISPR screens identifies Trim28 as a mediator of CD8 T cell differentiation in tumors

Stem-like TCF7+ CD8 T cells sustain anti-tumor responses and support immune checkpoint blockade. We systematically identified regulators of this cell state using genome-wide CRISPR screens in primary T cells in vitro. Using random barcodes to link clonal relationships with guide identity and transcriptional states in single cells, we inferred differentiation trajectories and differentiation rates of CD8 T cells in tumors, while mitigating confounding clonal bias. We found that Trim28-deficient T cells in tumors were enriched in the TCF7+ cell state, depleted in cycling and terminal effector states, and uniquely generated a tissue-resident memory (TRM)-like state with increased chromatin accessibility at known TRM loci as well as repeat elements. Despite the increase in TCF7+ CD8 T cells, loss of Trim28 did not improve tumor control, likely because of reduced effector differentiation, highlighting the need for tuning the balance and dynamics of stem-like versus effector states for effective tumor clearance.

immunology↗

Shared binding sites for the chromosomal architectural protein Su(Hw) mediate physical interactions between Drosophila TAD boundaries

The head-to-tail pairing of the nhomie and homie boundaries is responsible for the formation of a stem-loop TAD (topologically associated domain) that encompasses the even-skipped (eve) gene and its regulatory elements. TAD boundaries like homie and nhomie have partner preferences and one mechanism thought to be important in linking compatible boundaries is shared binding sites for the same architectural protein. Both eve boundaries have a single binding site for the polydactyl zinc finger protein Su(Hw). Here we have investigated the role of the shared Su(Hw) sites in the long-distance regulation of a dual reporter by the eve enhancers. Consistent with this mechanism, we find that when the transgene nhomie or homie boundary has a mutation in the Su(Hw) binding site, reporter activation by the eve enhancers is severely compromised. Using MicroC we show the mutating the single Su(Hw) substantially weakens the ability of the nhomie and homie boundaries in the transgene to physically pair with the two endogenous eve boundaries. Su(Hw) binding sites are not, however, sufficient as the gypsy su(Hw) insulator is unable to support long-distance regulation. In a less demanding transvection assay mutations in the nhomie and homie Su(hw) site have only a modest effect on regulatory interactions. The eve boundaries can mediate transvection with the gypsy insulator; however. they are not compatible with the dCTCF Fab-8 boundary even in the transvection assay. Finally, we show that the regulatory and physical interactions of the nhomie boundary in the transgene and the two endogenous eve boundaries are incompatible with the popular cohesin-loop extrusion model.

genetics↗

A community machine learning challenge to predict the effects of gene perturbations on T cell differentiation for cancer immunotherapy

Perturbations of genes with functional importance in T cells could be used to change the distribution of CD8 T cell states to enhance anti-tumor functions for cancer immunotherapies. We launched a world-wide computational challenge to predict the effects of gene perturbations and to devise objective functions for prioritizing gene perturbations that lead to desired T-cell state distributions. We supported the challenge by generating a single-cell Perturb-seq dataset profiling the effect of knocking out 73 individual expert-defined genes in T cells transferred into a mouse melanoma model. We compared the top algorithms developed by participants, and found that performance was primarily determined by the prior data used for gene feature representation, with perturbational data derived features, proving most effective. Experimental validation of the top 61 genes nominated by the algorithms revealed that perturbation of Ndufv2 and Dimt1 reached the defined objective and biased T cell differentiation toward desired states.

bioinformatics↗

Benchmarking cell type deconvolution in spatial transcriptomics and application to cancer immunotherapy

Cell type deconvolution is essential for resolving multicellular composition in spatial transcriptomics data, yet the accuracy and consistency of current methods across biological contexts remain uncertain. We introduce a benchmarking framework using realistic simulations that incorporate spatial and transcriptional complexity. We find that a simple marker gene signature scoring approach performs competitively, often outperforming more complex models, particularly for rare cell types. We further apply this method to a new spatial transcriptomics dataset profiling the early response to a single dose of anti-PD1 checkpoint blockade immunotherapy in a mouse cancer model, revealing pronounced spatially localized immune and microenvironmental changes in both tumors and draining lymph nodes. Our findings have implications for the interpretation of many published spatial transcriptomics studies that rely on cell type deconvolution, and they provide a robust, interpretable strategy for future analyses, even in the absence of matched single-cell references. Highlights- Framework for realistic benchmarking of spatial deconvolution methods - Marker gene scoring performs robustly for rare cell types across diverse datasets - Single-dose anti-PD1 cancer immunotherapy triggers profound localized response

genomics↗

Metadomain and metaloop genome interactions in mammalian T cells

Recent studies have advanced our understanding of chromosomal organization and its principal role in gene regulation. However, most analyses have focused on short-range interactions (<2 Mb), limiting insight into broader regulatory architecture. In particular, the relationships between topologically associating domains (TADs), sub-TAD loops, long-range cross-TAD interactions, and higher-order chromosomal compartmentalization remain poorly understood. Here, we identify extensive multi-megabase and interchromosomal interactions (metaloops) in T lymphocytes, which organize into larger meta-TAD associations (metadomains). Metaloops bridge distal promoters and regulatory elements of key T cell-specific genes such as Ctla4, Ikzf2, Il2ra, Ets1, Lef1, Runx1, Bach2, Foxo1 and others, and are both shared and cell type-specific across functionally distinct T cell lineages. Reanalysis of published data confirms the reproducibility of these interactions in both mouse and human T cells and their dependence on superenhancers. Genome-wide clustering of metadomains reveals three interchromosomal hubs with distinct epigenomic profiles, including a superenhancer-enriched hub associated with T cell-specific gene activation. By integrating a compendium of new and public T cell epigenomic data, we infer distinct architectural factors associated with short-range loops and long-range metaloops. Altogether, our study reveals new features of T cell-specific 3D genome organization across scales, and our computational framework is broadly applicable to analyses of chromatin architecture across different cell types and experimental systems. Highlights- Ultra-long-range (>2 Mb) chromatin interactions linked to gene regulation in T cells - A new algorithm identifies distal and interchromosomal meta-TADs and metaloops - An interchromosomal T cell-specific active hub emerges from metadomain clustering - Epigenomic compendium implicates TFs associated with long-range interactions

genomics↗

ArchVelo: Archetypal Velocity Modeling for Single-cell Multi-omic Trajectories

Inferring dynamic cellular processes from static single-cell measurements remains a central challenge in genomics. Here we introduce ArchVelo, a new method for modeling gene regulation and inferring cell trajectories using single-cell simultaneous chromatin accessibility (scATAC-seq) and transcriptomic (scRNA-seq) profiling. ArchVelo represents chromatin accessibility as a set of archetypes--shared regulatory programs--and models their dynamic influence on transcription. Compared to previous methods, ArchVelo improves inference accuracy and gene-level latent time alignment, and enables identification of the underlying transcription factor activity. We benchmark ArchVelo on developing mouse brain and human hematopoiesis datasets and apply it to CD8 T cells responding to viral infection, revealing distinct trajectories of differentiation and proliferation. Focusing on the progenitor CD8 T cell population with key roles in sustaining immune responses and translationally linked to immunotherapy outcomes, we identify a previously uncharacterized differentiation trajectory from Ccr6- to Ccr6+ progenitors, shared between acute and chronic infection. In sum, ArchVelo provides a principled framework for modeling dynamic gene regulation in multi-omic single-cell data across biological systems.

genomics↗

Single-cell multiomics reveals archetypal regulatory programs shared across CD4 and CD8 T cell subsets in viral infection

T cells protect against pathogens and tumors and can differentiate into various functionally distinct subsets. While each subset exhibits a characteristic epigenomic and transcriptional profile, essential immune functions such as self-renewal, expansion, cytokine production, and cytotoxicity are common to multiple subsets and therefore must be programmed via shared regulatory mechanisms. To uncover these regulatory "archetypes", we integrated a new single-cell multiomic (scATAC+RNA-seq) dataset for CD4 and CD8 T cells responding to acute and chronic viral infection with a comprehensive compendium of bulk ATAC-seq data. Our analysis revealed that T cell identity is governed by a modular architecture, where distinct transcription factors drive the reuse of regulatory archetypes across T cell subsets and lineages. Notably, translationally important progenitor Tcf1+ CD8 T cells, critical for sustaining CD8 T cell responses and present in both acute and chronic infection, exhibited a composite regulatory state combining a CD8 T cell exhaustion program and, unexpectedly, a follicular helper CD4 T cell program. In sum, this resource will aid mechanistic dissection of adaptive immunity and immunotherapy design, and the framework will be broadly applicable across biological systems. Highlights- Single-cell multiomics and ATAC-seq atlas reveal T cell regulatory archetypes - A unified progenitor Tcf1+ CD8 T cell population is shared by acute and chronic infection - Progenitor CD8 T cell identity combines CD8 exhaustion and CD4 Tfh regulatory programs - A Tfh-like differentiation gradient underlies heterogeneity in progenitor CD8 T cells

immunology↗

Autophagy Suppresses CCL2 to Preserve Appetite and Prevent Lethal Cachexia

Macroautophagy (autophagy hereafter) captures intracellular components and delivers them to lysosomes for degradation and recycling1. In adult mice, autophagy sustains metabolism to prevent wasting by cachexia and to survive fasting, and also suppresses inflammation, liver steatosis, neurodegeneration, and lethality2,3. Defects in autophagy contribute to metabolic, inflammatory and degenerative diseases, however, the specific mechanisms involved were unclear 4. Here we profiled metabolism and inflammation in adult mice with conditional, whole-body deficiency in an essential autophagy gene and found that autophagy deficiency altered fuel usage, and reduced ambulatory activity, energy expenditure, and food intake, and elevated circulating GDF15, CXCL10, and CCL2. While deletion of Gdf15 or Cxcl10 provided no or mild benefit, deletion of Ccl2 restored food intake, suppressed cachexia and rescued lethality of autophagy-deficient mice. To test if appetite suppression by CCL2 was responsible for lethal cachexia we performed single nucleus RNA sequencing of the hypothalamus, the center of appetite control in the brain. Notably, we found that autophagy deficiency was specifically toxic to PMCH and HCRT neurons that produce orexigenic neuropeptides that promote food intake, which was rescued by deficiency in CCL2. Finally, the restoration of food intake via leptin deficiency prevented lethal cachexia in autophagy-deficient mice. Our findings demonstrate a novel mechanism where autophagy prevents induction of a cachexia factor, CCL2, which damages neurons that maintain appetite, the destruction of which may be central to degenerative wasting conditions. Key points of paper1) Autophagy-deficient mice have reduced food intake, systemic inflammation, and cachexia 2) CCL2, but not GDF15 or CXCL10, induces lethal cachexia caused by autophagy defect 3) Autophagy-deficient mice have CCL2-dependent destruction of appetite-promoting neurons in the hypothalamus 4) Leptin deficiency restores appetite and rescues lethal cachexia in autophagy-deficient mice 5) Autophagy-deficient mice die from cachexia mediated by appetite loss 6) Degenerative conditions due to impaired autophagy are caused by the inflammatory response to the damage 7) Targeting CCL2 may be a viable approach to prevent degenerative wasting disorders

molecular biology↗

Cathelicidin antimicrobial peptides mediate immune protection of marsupial neonates

Marsupial neonates are born with immature immune systems, making them vulnerable to pathogens. While neonates receive maternal protection, they can also independently combat pathogens, though the mechanisms remain unknown. Using the sugar glider (Petaurus breviceps) as a model, we investigated immunological defense strategies of marsupial neonates. Cathelicidins - a family of antimicrobial peptides expanded in the genomes of marsupials - are highly expressed in developing neutrophils. Sugar glider cathelicidins reside in two genomic clusters and their coordinated expression is achieved by enhancer sharing within clusters and long-range physical interactions between clusters. These cathelicidins modulate immune responses and have potent antimicrobial effects, sufficient to provide protection in a mouse model of sepsis. Lastly, cathelicidins have a complex evolutionary history, where marsupials and monotremes are the only tetrapods that retained two cathelicidin clusters. Thus, cathelicidins are critical mediators of marsupial immunity, and their evolution reflects the life history-specific immunological needs of these animals.

evolutionary biology↗

Single-cell multiome regression models identify functional and disease-associated enhancers and enable chromatin potential analysis

We present a novel gene-level regulatory model called SCARlink that predicts single-cell gene expression from single-cell chromatin accessibility within and flanking (+/-250kb) the genic loci by training on multiome (scRNA-seq and scATAC-seq co-assay) sequencing data. The approach uses regularized Poisson regression on tile-level accessibility data to jointly model all regulatory effects at a gene locus, avoiding the limitations of pairwise gene-peak correlations and dependence on a peak atlas. SCARlink significantly outperformed existing gene scoring methods for imputing gene expression from chromatin accessibility across across high-coverage multiome data sets while giving comparable to improved performance on low-coverage data sets. Shapley value analysis on trained models identified cell-type-specific gene enhancers that are validated by promoter capture Hi-C and are 8x-35x enriched in fine-mapped eQTLs and 22x-35x enriched in fine-mapped GWAS variants across 83 UK Biobank traits. We further show that SCARlink-predicted and observed gene expression vectors provide a robust way to compute a chromatin potential vector field to enable developmental trajectory analysis.

bioinformatics↗

Universal recording of cell-cell contacts in vivo for interaction-based transcriptomics

Cellular interactions are essential for tissue organization and functionality. In particular, immune cells rely on direct and usually transient interactions with other immune and non-immune populations to specify and regulate their function. To study these "kiss-and-run" interactions directly in vivo, we previously developed LIPSTIC (Labeling Immune Partnerships by SorTagging Intercellular Contacts), an approach that uses enzymatic transfer of a labeled substrate between the molecular partners CD40L and CD40 to label interacting cells. Reliance on this pathway limited the use of LIPSTIC to measuring interactions between CD4+ helper T cells and antigen presenting cells, however. Here, we report the development of a universal version of LIPSTIC (uLIPSTIC), which can record physical interactions both among immune cells and between immune and non-immune populations irrespective of the receptors and ligands involved. We show that uLIPSTIC can be used, among other things, to monitor the priming of CD8+ T cells by dendritic cells, reveal the cellular partners of regulatory T cells in steady state, and identify germinal center (GC)-resident T follicular helper (Tfh) cells based on their ability to interact cognately with GC B cells. By coupling uLIPSTIC with single-cell transcriptomics, we build a catalog of the immune populations that physically interact with intestinal epithelial cells (IECs) and find evidence of stepwise acquisition of the ability to interact with IECs as CD4+ T cells adapt to residence in the intestinal tissue. Thus, uLIPSTIC provides a broadly useful technology for measuring and understanding cell-cell interactions across multiple biological systems.

immunology↗

Multi-center integrated analysis of non-coding CRISPR screens

The ENCODE Consortiums efforts to annotate non-coding, cis-regulatory elements (CREs) have advanced our understanding of gene regulatory landscapes which play a major role in health and disease. Pooled, non-coding CRISPR screens are a promising approach for systematically investigating gene regulatory mechanisms. Here, the ENCODE Functional Characterization Centers report 109 screens comprising 346,970 individual perturbations across 13.3Mb of the genome, using a variety of methods, readouts, and statistical analyses. Across 332 functionally confirmed CRE-gene links, we identify principles for screening endogenous, non-coding elements for causal regulatory mechanisms. Nearly all CREs show strong evidence of open chromatin, and targeting accessibility peak summits is a critical component of our proposed sgRNA design rules. We provide experimental guidelines to accurately detect CREs with variable, often low, transcriptional effects. We discover a previously undescribed DNA strand-bias for CRISPRi in transcribed regions with implications for screen design and analysis. Benchmarking five screen analysis tools, we find CASA produces the most conservative CRE calls and is robust to artifacts of low-specificity sgRNAs. Together, we provide an accessible data resource, predesigned sgRNAs targeting 3,275,697 ENCODE SCREEN candidate CREs, and screening guidelines to accelerate functional characterization of the non-coding genome.

genomics↗

Terminal differentiation and persistence of effector regulatory T cells essential for the prevention of intestinal inflammation

Regulatory T (Treg) cells represent a specialized CD4+ T cell lineage with essential anti-inflammatory functions. Recent studies of the adaptations of Treg cells to non-lymphoid tissues which enable their specialized immunosuppressive and tissue supportive functions raise questions about the underlying mechanisms of these adaptations and whether they represent stable differentiation or reversible activation states. Using novel genetic tools, we characterized the transcriptional programs of distinct colonic effector Treg cell types. We found that attenuated T cell receptor (TCR) signaling and acquisition of substantial TCR independent functionality appears to facilitate the terminal differentiation of a population of colonic effector Treg cells distinguished by stable expression of immunomodulatory cytokine interleukin-10 (IL-10). Functional studies revealed that this subset of effector Treg cells, but not their expression of IL-10, was indispensable for colonic health. These findings suggest core features of terminal differentiation of effector Treg cells in non-lymphoid tissues and their function therein.

immunology↗

Genome-wide CRISPR guide RNA design and specificity analysis with GuideScan2

We present GuideScan2 for memory-efficient, parallelizable construction of high-specificity CRISPR guide RNA (gRNA) databases and user-friendly gRNA/library design in custom genomes. GuideScan2 analysis identified widespread confounding effects of low-specificity gRNAs in published CRISPR knockout, interference and activation screens and enabled construction of a ready-to-use gRNA library that reduced off-target effects in a novel gene essentiality screen. GuideScan2 also enabled the design and experimental validation of allele-specific gRNAs in a hybrid mouse genome.

genomics↗

A unified atlas of CD8 T cell dysfunctional states in cancer and infection

CD8 T cells play an essential role in defense against viral and bacterial infections and in tumor immunity. Deciphering T cell loss of functionality is complicated by the conspicuous heterogeneity of CD8 T cell states described across different experimental and clinical settings. By carrying out a unified analysis of over 300 ATAC-seq and RNA-seq experiments from twelve independent studies of CD8 T cell dysfunction in cancer and infection we defined a shared differentiation trajectory towards terminal dysfunction and its underlying transcriptional drivers and revealed a universal early bifurcation of functional and dysfunctional T cell activation states across models. Experimental dissection of acute and chronic viral infection using scATAC-seq and allele-specific scRNA-seq identified state-specific transcription factors and captured the early emergence of highly similar TCF1+ progenitor-like populations at an early branch point, at which epigenetic features of functional and dysfunctional T cells diverge. Our atlas of CD8 T cell states will facilitate mechanistic studies of T cell immunity and translational efforts.

genomics↗