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Biology subjects

Chan, M.

Publications and source records attributed to Chan, M..

At least 19 recordsLinked to original sources

rVSV-EBOV vaccination protects ferrets from lethal Bundibugyo virus disease

An uncontrolled and rapidly growing outbreak of Bundibugyo virus (BDBV) is currently gripping the Democratic Republic of the Congo and threatening health security across Central Africa. There are no available BDBV-specific vaccines, although emerging evidence suggests that the Ebola virus-specific vaccine, rVSV-EBOV (also known by its tradename ERVEBO), may offer cross-protective immunity. To directly address this question, we evaluated the efficacy of rVSV-EBOV in the uniformly lethal ferret model of BDBV infection. All vaccinated animals survived BDBV challenge and exhibited minimal clinical signs of infection, presumably as a result of a moderate--but protective--humoral immune response. These findings provide critical evidence further supporting the cross-protective efficacy of rVSV-EBOV, and they suggest a potential role for this vaccine in mitigating the ongoing BDBV outbreak.

microbiology↗

Multimodal MRI prediction of cognitive functioning across the lifespan: separating between-person differences from within-person changes

Brain MRI shows promise for predicting cognitive functioning, but its utility depends on its capacity to capture stable between-person differences (e.g., patient stratification), longitudinal within-person changes (e.g., prognosis, treatment monitoring), or both. Using longitudinal data from 450 adults (aged 21-90; up to three waves, five years apart) in the Dallas Lifespan Brain Study, we benchmarked five modalities, task fMRI, functional connectivity (FC), structural MRI (sMRI), diffusion-weighted imaging (DWI), and arterial spin labeling (ASL), across 37 phenotypes and their combination. Stacking all MRI modalities into one marker predicted cognitive functioning with the highest accuracy (R{superscript 2}=.51), followed by DWI and FC. Variance decomposition showed MRI markers explained substantial between-person variance (up to 60.3%) but modest within-person changes (up to 17.2%) in cognitive functioning. Commonality analysis revealed most markers, except ASL, overlapped with age-related variance in cognitive functioning. These findings clarify the strengths and limitations of MRI markers for stratifying and monitoring cognitive aging.

neuroscience↗

Neuroepithelial reprogramming and ERBB vulnerability in canine acanthomatous ameloblastoma

Canine acanthomatous ameloblastoma (CAA) is a locally invasive benign oral neoplasm that is difficult to distinguish from canine oral squamous cell carcinoma (COSCC) due to overlapping clinical, radiologic, and histologic features. Although both tumors exhibit MAPK pathway activation, their mutational landscapes are distinct. Furthermore, previous studies using bulk RNA sequencing (RNA-seq) have demonstrated pronounced differences in programs related to, among others, hypoxia, PI3K-AKT signaling, and cell proliferation. However, these bulk studies lacked the resolution to elucidate the cellular heterogeneity of CAA relative to COSCC. We therefore performed single-nucleus RNA-seq to define the cellular gene expression landscape of CAA, COSCC, and healthy gingiva. Across [~]205,000 nuclei, we identified major epithelial, immune, endothelial, and mesenchymal populations, as well as two epithelial subtypes uniquely enriched in CAA. The CAA-specific keratinocytes exhibited a neuronal-like expression program defined by synaptic regulators, KRAS-associated signaling pathways, and markedly elevated expression of PEG3, ERBB4, GABRB1, MAGI2, and CASK. These findings were validated by bulk RNA-seq, qPCR, and immunohistochemistry, which demonstrated strong nuclear localization of PEG3 exclusively in CAA epithelium. A kinase inhibitor screen independently identified ERBB4 as a candidate therapeutic vulnerability, and pharmacologic inhibition with neratinib was effective. Together, these findings reveal a previously unrecognized neuroepithelial cell state that defines CAA, distinguishes it from COSCC, and reveals unique diagnostic and therapeutic signaling dependencies. Given the molecular and histopathologic parallels between CAA and human ameloblastoma, these data further position CAA as a naturally occurring comparative model for studying ameloblastoma biology and therapeutic vulnerabilities. Significance StatementCanine acanthomatous ameloblastoma (CAA) is a common locally aggressive oral neoplasm often misdiagnosed as canine oral squamous cell carcinoma (COSCC) due to overlapping clinical, radiologic, and histologic features. Using single-nucleus RNA sequencing of CAA, COSCC, and healthy gingiva, we resolve the microenvironment of these tumors and detect two epithelial subpopulations unique to CAA. These CAA-specific keratinocytes exhibit a neuroepithelial-like signature characterized by synaptic regulators, KRAS-associated signaling, and elevated PEG3 and ERBB4 expression. Functional kinase inhibitor screening of patient derived microtumor slices independently converged on ERBB4 as an effective therapeutic target. Together, our study provides a molecular framework for distinguishing CAA from COSCC and establishes a comparative oncology model with translational relevance to human ameloblastoma and other ERBB-driven epithelial neoplasms.

cancer biology↗

Maternal Obesity Decreases Offspring Lifespan

Data in mice, nonhuman primates, and in humans demonstrate that exposure to maternal obesity increases the risk of multiple diseases in offspring. However, little is known about the aging effects of maternal obesity on the offspring. This study shows that maternal obesity significantly reduced the lifespan of both male and female mice born to obese dams despite being weaned onto a healthy diet at three weeks of age. This reduction in longevity was linked to an increase in age-related fibrotic pathology across multiple organs, e.g., liver, heart, and kidney. Gompertz analysis of the lifespan data showed that maternal obesity offspring have reduced lifespan due to detrimental changes established early during development rather than factors that modify aging later-in-life. These findings are translationally significant as they demonstrate that the growing prevalence of MO may lead to a decrease in overall lifespan and increase in age-related diseases in the next generation.

physiology↗

Increasing the compositional heterogeneity of single-chain amphiphile membranes supported by coacervate cores alters stability and properties of the hybrid protocells

Coacervate droplets and lipid vesicles are two classes of self-assembled compartments that have been proposed as protocell models. Hybrid protocells, in which a coacervate core is surrounded by a lipid membrane, can integrate the advantages of both protocell systems while overcoming their limitations. Although hybrid protocell membranes have been produced with a variety of diacyl phospholipids related to modern biology and some single-chain amphiphiles inspired by prebiotic scenarios, little is known about how mixtures of single-chain amphiphiles impact hybrid protocell membrane formation and properties. Given the plausible diversity of amphiphiles in the prebiotic milieu, the resulting membranes would have inherently incorporated multiple lipids of different types, potentially altering the properties and viability of hybrid protocells in their environment. Here, we systematically increased the compositional heterogeneity of hybrid protocell membranes by using different prebiotically relevant single-chain amphiphiles of varying head groups and alkyl chain lengths. These membranes were assembled around model coacervate droplets generated from polyallylamine hydrochloride and adenosine diphosphate, and the effect of heterogeneity on membrane properties and stability was evaluated. Compared to protocells with homogeneous membranes, those with heterogeneous amphiphile membranes exhibited higher yields, smaller sizes, and greater sub-compartment formation. Also, they showed increased membrane order, retained similar lateral lipid diffusion, and showed population-level variability in permeability to small anionic molecules. Notably, heterogeneous membranes showed enhanced structural stability under acidic conditions, retaining key properties like size and sub-compartment heterogeneity, thereby broadening the pH range over which hybrid protocells remain intact. These findings suggest that amphiphile diversity not only would have influenced the structural properties of hybrid protocells but also created diversity within the protocell population and enhanced their robustness, thereby playing a crucial role in protocell evolution on early Earth.

biochemistry↗

Characterization of Atypical Ebola Virus Disease in Ferrets

Ebola virus (EBOV) typically results in a severe--and often lethal--acute disease. However, increasing evidence suggests that EBOV can persist in certain immune-privileged tissues, which may then serve as reservoirs for the later reemergence of EBOV and disease recrudescence. Here, we report atypical EVD recrudescence in a ferret model inoculated with an otherwise lethal dose of EBOV and treated with low doses of a highly potent monoclonal antibody cocktail. Among 32 antibody-treated ferrets, 14 animals survived, while 8 succumbed to acute EVD within about 5-8 days. The remaining 10 animals succumbed to atypical EVD between 12 and 18 days post-infection (DPI) despite having shown no, or very minor, signs of illness during the acute phase of disease. While viremia disappeared by 14 DPI in most animals that succumbed to atypical EVD, it rebounded modestly just prior to death. Unlike animals that died of acute EVD, those that died of atypical EVD showed only a moderate systemic inflammatory response and few signs of organ dysfunction, in line with low levels of virus in the liver and spleen. Interestingly, however, ferrets that died of atypical EVD showed high levels of virus in the brain, consistent with increased markers of inflammation in the central nervous system and significant pathological changes, including a breakdown in the blood-brain barrier and severe meningoencephalitis. Not only does this study shed important light on the atypical and underappreciated manifestations of EVD, but it also establishes the ferret as a valuable model of EBOV persistence and recrudescence. AUTHOR SUMMARYOver the last several years, it has become increasingly apparent that Ebola virus is capable of persisting in survivors and, occasionally, reemerging to cause a recrudescent disease that is often distinct from the acute illness and characterized by neurological involvement. Since nearly all existing Ebola virus animal models are uniformly lethal, it has been difficult to understand the processes that lead to persistence and atypical manifestations of disease. In this study, we describe a late-onset, atypical Ebola virus disease in ferrets that was characterized by high levels of virus in the brain and significant markers of brain inflammation. Our comprehensive analysis of the pathogenic processes that contributed to this disease not only provides critical insight into Ebola virus persistence and recrudescence, but it also establishes the ferret as the first tractable model for investigating these atypical outcomes.

microbiology↗

Inferring Cell Differentiation Dynamics with Unobserved Progenitors

A cell differentiation map describes the transitions between cell types during a developmental process, and determining this map is a key challenge in developmental biology. Recent single-cell lineage tracing technologies generate lineage trees that describe the history of cell divisions during a developmental process but do not directly measure differentiation events between cell types. Current approaches to infer cell differentiation maps from cell lineage trees make unrealistic assumptions about the developmental process, do not allow for unobserved progenitor cell types, or do not infer cell-type specific rates of growth and transitions. To address these issues, we introduce TROUPE, a likelihood-based framework that infers differentiation and growth dynamics directly from leaf-labeled cell lineage trees while allowing for unobserved progenitor types via biologically motivated potency constraints. We provide an efficient algorithm for computing the maximum likelihood transition and growth rates, as well as a simple model-selection scheme to choose the number of unobserved types. On simulations, TROUPE recovers transition and growth rates better than previous approaches even when there are unobserved types. We apply TROUPE to a model of mammalian development, Trunk-Like Structures (TLS), and show that TROUPE computes reasonable rates of self-renewal and differentiation in both standard and perturbed conditions.

developmental biology↗

Subtype-Specific Dependencies and Drug Vulnerabilities Enable Precision Therapeutics in Head and Neck Cancer

Molecular heterogeneity in head and neck squamous cell carcinoma (HNSCC) is well recognized, yet existing subtype frameworks remain largely descriptive and have not translated into therapeutic decision-making. Here, we establish a mechanistic platform that converts transcriptomic diversity into drug-actionable tumor states. Integrating multi-cohort RNA-seq from 727 tumors across five independent datasets, genome-scale CRISPR dependency maps, and pharmacologic screening, we define distinct tumor survival circuits across HPV-negative HNSCC and nominate subtype-matched therapeutic strategies. These circuits encompass a proliferative axis (MYC, MET/FAK, inflammatory and translational programs), an epithelial-differentiated/adhesion program, an EMT-like state with stromal activation, and mitochondrial/oxidative metabolic states, each mapping to selective liabilities (e.g., mitotic/autophagy control, ERBB/PI3K and cadherin signaling, OXPHOS/mitochondrial translation, and G2/M-integrin-Notch pathways, respectively). We then develop a transcriptomic predictor of EGFR-inhibitor response using machine learning and validate it in prospectively collected, fresh patient-derived 3D microtumors. The resulting 13-gene signature identifies erlotinib-responsive tumors (R = 0.93) and maps biologically to an epithelial-differentiated state, outperforming EGFR expression alone. Our study establishes a subtype-to-dependency-to-therapy framework, enabling precision stratification and providing a clinically feasible path for prospective biomarker deployment.

bioinformatics↗

Closed-loop heart rate regulation based on medulla stimulation

Cardiovasular diseases are often accompanied with the dysfunctions of autonomic nervous system. Cardiac neuromodulation including vagus nerve stimulation have emerged as alternative therapies by restoring sympatho-vagal balance. In this work, a medulla stimulation strategy was developed to precisely regulate the heart rate. The stimulation parameters effecting on cardiac function were assessed in open-loop experiments. The cardiac effects of rostral and caudal medulla stimulation were enhanced with increased stimulus frequency. We further investigated whether medulla stimulation can temporarily regulate the heart rate at predetermined levels using on-off closed-loop control. Additionally, we tested the capacity of medullary stimulation to rebalance autonomic function under peripheral imbalance conditions caused by dobutamine and neostigmine administration. The performance of heart rate regulation was quantified by the control degree and root mean squared error. The results demonstrate the feasibility of medulla stimulation for regulating sympathetic activity, emphasizing its potential therapeutic use in cardiac disorders.

physiology↗

Transcriptional Rewiring of BET Inhibitor Treated Ewing Sarcoma Cells Augments their Dependency on Focal Adhesion Kinase

Epigenetic dysregulation is a hallmark of cancer. Small molecule inhibitors such as bromodomain and extraterminal (BET) protein inhibitors developed to target epigenetic dependencies have demonstrated significant promise in preclinical models. However, clinical success with epigenetic drugs as single agents has been limited by emergence of tumor cell tolerance and escape, which often occurs due to transcriptional rewiring. Ewing sarcoma (EwS), a bone and soft tissue tumor driven by the EWS::FLI1 fusion oncoprotein, is characterized by profound oncogene-dependent enhancer reprogramming. Thus, epigenetic modifying therapies are of high therapeutic interest. In this study, we sought to elucidate how EwS cells escape BET inhibition to identify biologically informed drug combinations that could be advanced to clinical trials. As expected, EwS cells and xenografts initially responded to BMS-986158, a pharmaceutical grade BET inhibitor, but proliferation was rapidly restored. A kinase inhibitor screen showed that BMS-986158 drug tolerant persister (DTP) cells were sensitive to inhibitors of Focal Adhesion Kinase (FAK), a critical signaling node downstream of extracellular matrix (ECM) engagement. RNA sequencing revealed that DTP cells had been transcriptionally rewired and that mesenchymal signature and ECM remodeling genes were specifically upregulated. Combining BMS-986158 with the FAK inhibitor Defactinib had synergistic effects, reducing EwS cell proliferation, survival, and invasion in vitro, and significantly inhibited tumor outgrowth in vivo. Our studies identify BET and FAK inhibition as a rational combination therapy worthy of further investigation for EwS, and demonstrate that defining emergent mechanisms of epigenetic drug tolerance can identify new vulnerabilities that can be therapeutically targeted.

cancer biology↗

Nucleotide insufficiency induced by p53 deficiency leads to replication stress driving genomic instability

P53 prevents DNA damage by inducing repair processes, cell cycle arrest or apoptosis. P53 loss leads to replication stress and genomic instability, yet the mechanisms underlying these effects and their contribution to catastrophic genomic events such as chromothripsis remain poorly understood. Using patient-derived fibroblasts with germline p53 variants, that spontaneously undergo chromothripsis, and p53-downregulated fibroblasts, we discovered that p53 loss leads to aberrant transcriptional upregulation, increasing nucleotide consumption while simultaneously decreasing nucleotide biosynthesis. This imbalance in production and consumption results in insufficient nucleotide pools, leading to replication stress and genomic instability, which are rescued by nucleoside supplementation or transcription normalization. The replication stress triggers telomere dysfunction, micronuclei formation, and ultimately chromothripsis. Emerging dominant chromothriptic clones exhibit normal DNA replication, telomere stabilization, and ecDNA, highlighting critical features for clonal selection. Hence, p53 coordinates transcription and nucleotide pools, crucial for maintaining genomic stability and preventing early cancer development.

cancer biology↗

Tibicos differentially affects faecal microbiota composition and short-chain fatty acid production in prediabetic and healthy adults in a simulated digestive tract

Prediabetes and obesity are increasingly prevalent chronic pro-inflammatory conditions driven by gut microbiota dysfunction. To assist in the management of such diseases, researchers are interested in gut-microbiota targeted dietary interventions. Tibicos is a plant-based fermented beverage shown to modulate gut microbiota, with anti-hyperglycaemic and anti-inflammatory effects in in vitro and in vivo human and animal studies. We investigated the effects of ginger-cayenne tibicos on healthy and prediabetic pooled faecal microbiota, with a static in vitro digestion/ colonic fermentation model using faeces from adult overweight/ obese donors with prediabetes, and healthy donors (n=3 per group). Changes in faecal microbiota composition and short-chain fatty acid (SCFA) production were determined. Baseline prediabetic faeces was less abundant in butyrate-producing bacterial taxa and SCFAs. In vitro colonic fermentation Time and Status (prediabetic vs. healthy) were the major determinants of shifts in faecal microbial community abundance and diversity. Tibicos reduced beneficial bacterial taxa loss in prediabetic faecal microbiota. However, tibicos improved the functional capacity of healthy faecal microbiota to a larger extent, with increased SCFA production and significant correlations between bacterial species and SCFAs. The differential shifts in composition and SCFAs observed during simulated gastrointestinal transit suggest that ginger-cayenne tibicos has the potential to beneficially modulate human faecal microbiota in both healthy and prediabetic participants. This study indicates that ginger-cayenne tibicos may be a useful tool in the management of prediabetes and obesity in humans and provides pilot data for the development of larger clinical trials.

microbiology↗

Targeting tGLI1, a novel mediator of tumor therapeutic resistance, using Ketoconazole sensitizes glioblastoma to CDK4/6 therapy and Chemoradiation

Glioblastoma (GBM) remains the most aggressive primary brain tumor in adults, with no effective treatments. While cyclin-dependent kinase 4/6 inhibitors (CDK4/6is) show clinical promise in some cancers, they have not significantly improved survival in GBM patients. This lack of response is attributed to the treatment-resistant glioma stem cell (GSC) population. We previously identified truncated glioma-associated oncogene homolog 1 (tGLI1) as a novel transcription factor promoting GSCs; however, its role in CDK4/6i resistance has never been investigated in any cancer type. Here, we found positive correlations between tGLI1 and CDK4/6 therapeutic resistance in patient datasets and in vitro studies. Pharmacological inhibition of tGLI1 using FDA-approved ketoconazole (KCZ), a tGLI1-specific inhibitor, sensitized GBM and GSCs to CDK4/6is. KCZ+CDK4/6i combination therapy demonstrated synergistic anti-proliferative effects, significantly inhibiting GBM stemness and cell cycle progression while increasing apoptosis. The combination was more efficacious than monotherapies in two orthotopic GBM mouse models. tGLI1 promoted GBM resistance to radiation therapy and temozolomide, while KCZ potentiated effects of these treatments. Collectively, we report for the first time that tGLI1 is a novel mediator of GBM resistance to CDK4/6is, and KCZ sensitizes GBM to CDK4/6is, thereby supporting future clinical utility of novel KCZ+CDK4/6i combinatorial therapy for GBM patients.

cancer biology↗

Induction of Chimera States in Hindmarsh-Rose Neurons through Astrocytic Modulation: Implications for Learning Mechanisms

Chimera states, a form of partial synchronization in neural networks, are characterized by the coexistence of synchronized and asynchronous regions. These states are crucial for various cognitive functions, such as learning and information processing. Conversely, abnormal synchronization--often referred to as hyper-synchronization--can lead to pathological conditions such as epilepsy and Parkinsons disease. Understanding the mechanisms underlying synchronization can provide valuable insights for developing effective therapeutic strategies for these disorders. Astrocyte, a primary type of glial cell, plays a pivotal role in modulating neural synchrony. They influence the synchronization threshold of neurons by providing feedback through the release of gliotransmitters, promoting group firing of neurons within the astrocytes domain. This research aims to explore how astrocytes can facilitate the conversion of hyper-synchronized states into healthy chimera states within neural networks. This process is vital for maintaining normal brain function and may be critical to advancing treatments for neurological conditions. We analyzed how astrocytes can induce chimera states in nonlocally two-dimensional Hindmarsh-Rose neurons, which serve as realistic models of neuronal ensembles. Our findings demonstrate that astrocytes can effectively transition unhealthy hyper-synchronization states into healthy chimera states. Furthermore, by analyzing time spans, spatiotemporal patterns, inter-spike interval distributions (ISI), and phase plane diagrams of 2D H-R neurons, we validated our hypothesis about the crucial role of astrocytes in the development of chimera states. The outcomes may pave the way for innovative therapeutic approaches to restore normal neural activity patterns, ultimately improving patient outcomes in conditions such as epilepsy and Parkinsons disease.

neuroscience↗

Systems Pharmacology Screening Reveals Mertk and other Targetable Kinases in Supratentorial Ependymomas

Ependymomas (EPN) are rare central nervous system tumors that account for approximately 10% of intracranial tumors in children and 4% in adults. Despite their clinical and molecular heterogeneity, spanning supratentorial, posterior fossa, and spinal subtypes, treatment remains limited to surgery and radiotherapy, with chemotherapy offering minimal benefit. Here, we performed transcriptomic analysis of 370 human ependymoma samples and identified two distinct molecular subgroups: EPN-E1 and EPN-E2. The EPN-E1 cluster is enriched for supratentorial tumors harboring ZFTA-RELA fusions (ZFTA-RELAfus), which occur in over 70% of cases and are associated with poor prognosis. To identify targeted therapies for this aggressive subtype, we validated a ZFTA-RELAfus mouse model that recapitulates the human EPN-E1 transcriptome and used it for target discovery. Through Kinome Regularization, a machine learning-driven polypharmacology approach, we identified MERTK as a critical regulator of tumor cell viability. Genetic depletion or pharmacologic inhibition of Mertk reduced cell growth ex vivo, and treatment with a clinical-grade MERTK inhibitor significantly suppressed tumor proliferation in vivo. Both human EPN-E1 tumors and ZFTA-RELAfus mouse tumors exhibited elevated expression of MERTK and its ligand GAS6, and MERTK inhibition led to suppression of pro-survival signaling pathways including MEK/ERK and PI3K/AKT. Notably, over 80% of genes upregulated in ZFTA-RELAfus tumors were downregulated following MERTK inhibition, indicating a strong dependency on this pathway for tumor maintenance. These findings define a signaling vulnerability in ZFTA-RELA-driven ependymomas and support the clinical development of MERTK-targeted therapies for patients with the high-risk EPN-E1 subtype.

cancer biology↗

Single-cell multi-omic analysis of fibrolamellar carcinoma reveals rewired cell-to-cell communication patterns and unique vulnerabilities

Fibrolamellar carcinoma (FLC) is a rare malignancy disproportionately affecting adolescents and young adults with no standard of care. FLC is characterized by thick stroma, which has long suggested an important role of the tumor microenvironment. Over the past decade, several studies have revealed aberrant markers and pathways in FLC. However, a significant drawback of these efforts is that they were conducted on bulk tumor samples. Consequently, identities and roles of distinct cell types within the tumor milieu, and the patterns of intercellular communication, have yet to be explored. In this study we unveil cell-type specific gene signatures, transcription factor networks, and super-enhancers in FLC using a multi-omics strategy that leverages both single-nucleus ATAC-seq and single-nucleus RNA-seq. We also infer completely rewired cell-to-cell communication patterns in FLC including signaling mediated by SPP1-CD44, MIF-ACKR3, GDF15-TGFBR2, and FGF7-FGFR. Finally, we validate findings with loss-of-function studies in several models including patient tissue slices, identifying vulnerabilities that merit further investigation as candidate therapeutic targets in FLC.

cancer biology↗

Late-life short-term dietary restriction ameliorates intestinal stem cell function and impacts intestinal stem cell DNA methylation

Aging reduces the function of intestinal stem cells (ISCs) and dietary restriction (DR) has been shown to improve ISC function in young mice. However, there are no studies to-date that has evaluated the effect of short-term DR (stDR) implemented late-in-life on ISC function. Data from our laboratory shows for the first time that stDR can ameliorate the age-related decline in ISC function by in-vitro enteroid forming assay. Transcriptomic analysis of the Lgr5+ ISCs identified genes not commonly known for ISC function but showed a robust change with age which were reversed by stDR. Evaluation of the methylation status of selected genes (Slc28a3, Ly9, Cd2, Platr4) showed association between changes in 5mCG levels in the cis-acting regions of the genes and their expression. Our data suggest a potential role for DNA methylation in stDRs effect on ISC function.

molecular biology↗

Inferring cell differentiation maps from lineage tracing data

During development, mulitpotent cells differentiate through a hierarchy of increasingly restricted progenitor cell types until they realize specialized cell types. A cell differentiation map describes this hierarchy, and inferring these maps is an active area of research spanning traditional single marker lineage studies to data-driven trajectory inference methods on single-cell RNA-seq data. Recent high-throughput lineage tracing technologies profile lineages and cell types at scale, but current methods to infer cell differentiation maps from these data rely on simple models with restrictive assumptions about the developmental process. We introduce a mathematical framework for cell differentiation maps based on the concept of potency, and develop an algorithm, Carta, that infers an optimal cell differentiation map from single-cell lineage tracing data. The key insight in Carta is to balance the trade-off between the complexity of the cell differentiation map and the number of unobserved cell type transitions on the lineage tree. We show that Carta more accurately infers cell differentiation maps on both simulated and real data compared to existing methods. In models of mammalian trunk development and mouse hematopoiesis, Carta identifies important features of development that are not revealed by other methods including convergent differentiation of specialized cell types, progenitor differentiation dynamics, and the refinement of routes of differentiation via new intermediate progenitors. Code availabilityCarta software is available at https://github.com/raphael-group/CARTA

bioinformatics↗