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Dubinett, S. M.

Publications and source records attributed to Dubinett, S. M..

11 recordsLinked to original sources

FORGE-KI: A Modular Framework for Endogenous Knock-In Engineering Across HDR and PITCh/MMEJ Repair Pathways

Targeted knock-in technologies have enabled precise insertion of reporters, affinity tags, degrons, and other functional payloads into endogenous genomic loci. Over the past decade, a diverse collection of genome engineering strategies has emerged, including approaches based on homology-directed repair (HDR), microhomology-mediated end joining (MMEJ), homology-mediated end joining (HMEJ), and related methodologies. While these advances have greatly expanded the capabilities of endogenous genome engineering, they have also increased the complexity of donor design, assembly, and validation. Here, we describe FORGE-KI (Functional Oncology Research Genetic Engineering - Knock in), a pathway-matched design workflow for endogenous knock-in engineering that aligns the assembly strategy with the underlying repair mechanism. For large-cargo insertions, we use a modular five-component framework that separates gene-specific targeting arms from reusable functional modules, allowing rapid assembly of HDR donor constructs targeting AHR, IRF1, and FOSL1 from a shared reagent collection. For MMEJ/PITCh applications, where short targeting elements permit rapid fabrication, we developed a streamlined one-step pipeline in which the entire donor and selection payload is synthesized as a single continuous fragment for direct cloning, compressing the design-to-reagent cycle time. This MMEJ workflow is paired with a dual-promoter nuclease vector (pForge-KI-MMEJ-Cas9-DualGuide) that drives the PITCh-release and locus-specific guides from distinct promoters, a design intended to reduce the repeated-promoter instability associated with some dual-guide vectors. We also established a standardized workflow for donor assembly, generation of knock-in cell populations, molecular validation, and selectable-cassette removal, and we demonstrate it by generating a functional, selection-marker-free, cytokine-inducible IRF1 HDR reporter line and an inducible IRF1 PITCh/MMEJ reporter pool with confirmed junction enrichment. In parallel, we developed forgeKI, an R package that automates C-terminal reporter knock-in design across both HDR and PITCh/MMEJ repair pathways, including guide selection, target-biology validation, targeting-arm design, domestication, donor-assembly planning, and generation of synthesis-ready constructs. Together, the reagents and software provide a practical system for endogenous knock-in engineering that supports multiple payloads, selection strategies, and repair pathways within a shared donor organization. Rather than replacing existing knock-in technologies, this framework provides a modular foundation for incorporating, extending, and automating the published knock-in methods.

molecular biology↗

Archetype analysis of lung adenocarcinoma premalignancy links heterogeneity in premalignant lesions to diverging features of invasive disease

ABSTRACTLung adenocarcinoma (LUAD), the most common form of lung cancer, is a heterogeneous disease with highly variable histopathologic features and clinical outcomes. LUAD premalignant lesions (PMLs) are localized proliferative lesions of atypical pneumocytes that proliferate along the alveolar walls. In this study, we characterized the molecular heterogeneity across PMLs, regardless of histologic designation, and identified four unique groups or "archetypes" of PMLs using bulk RNA and exome sequencing data from laser captured microdissected PMLs, normal, and tumor tissue from LUAD resection cases. The archetypes were defined based on expression of recurrent gene co-expression modules discovered using the LUAD PMLs we profiled and three publicly available datasets. One PML archetype, termed "proliferation", was associated with increased expression of genes involved in cell proliferation, a pro-tumor immune environment, and enrichment for EGFR driver mutations. Another archetype, termed "normal-like", was associated with similar features to normal tissue, an anti-tumor immune response, and lacked enrichment for driver mutations compared to other archetypes. We projected the PML archetypes into independent gene expression datasets profiling LUAD and found that tumors closest to the proliferation archetype were enriched for multiple features of aggressive LUAD, including high tumor grade and lymph node invasion, and had significantly lower disease-free survival. Proliferation archetype PMLs may represent a subset of lesions with more aggressive features that could improve patient stratification and suggest novel targets for lung cancer interception.

cancer biology↗

Dietary α-Ketoglutarate delays lung adenocarcinoma in females and modulates TBX5-associated transcriptional programs and the immune microenvironment

Lung adenocarcinoma (LUAD) is the most common form of lung cancer and a leading cause of cancer-related mortality, underscoring the need for new chemopreventive strategies. -Ketoglutarate (-KG), a tricarboxylic acid cycle metabolite and dioxygenase cofactor, links cellular metabolism to chromatin regulation. Here, we show that dietary -KG remodels LUAD in a sex-dependent manner. In female mice, -KG reduced tumor area, decreased repressive histone marks (H3K27me3, H3K9me3), and upregulated TBX5 and myogenesis-associated genes. In male mice, -KG-treated male mice exhibited increased tumor area, elevated H3K27me3, and immune remodeling characterized by CD8 T cell expansion and transcriptomic signatures of T cell exhaustion. Analysis of human LUAD revealed that TBX5 expression is enriched in female tumors and associated with improved survival, suggesting it may serve as a marker of favorable outcome. Together, these findings support -KG as an epigenetic modulator with potential chemopreventive activity in lung cancer and highlight the importance of incorporating sex as a biological variable in preclinical studies. SummaryOral -Ketoglutarate (-KG) has a known anti-aging effect and has been suggested to inhibit cancer development. However, the role of -KG in lung cancer is not known. Here, we investigated the effect of oral -KG on the development of lung adenocarcinoma in a KrasG12D-driven murine model. In females, -KG reduced lung tumor growth, accompanied by TBX5 induction, activation of a myogenesis transcriptional program, and loss of repressive histone methylation. In males, -KG increased tumor growth, coinciding with TBX5 repression, suppression of myogenesis programs, and accumulation of repressive histone methylation. -Ketoglutarate also remodeled the tumor immune microenvironment in a sex-dependent manner, with divergent effects on T cell infiltration. HIGHLIGHTSO_LIOral -Ketoglutarate reduces lung adenocarcinoma development in a genetically engineered murine model in a sex-dependent manner C_LIO_LIIn females, -Ketoglutarate reduces repressive histone marks and induces TBX5/myogenesis C_LIO_LIIn males, -Ketoglutarate increases repressive histone marks and suppresses TBX5/myogenesis C_LIO_LI-Ketoglutarate remodels the tumor immune microenvironment with sex-specific effects C_LIO_LITBX5 is enriched in female LUAD patients and predicts improved survival in human datasets C_LI CONTEXT AND SIGNIFICANCELung adenocarcinoma (LUAD) is the most common form of lung cancer and a leading cause of cancer mortality worldwide. Preventive strategies are limited, highlighting the need for safe approaches that can intercept tumor progression. Metabolic cofactors are increasingly recognized as modulators of the cancer epigenome. Among these, -Ketoglutarate (-KG), a central metabolite of the tricarboxylic acid cycle, functions as a cofactor for chromatin-modifying enzymes. Here, we demonstrate that dietary -KG supplementation limits LUAD progression in female mice, reduces repressive histone methylation, and activates TBX5-associated transcriptional programs. These effects are sex dependent, underscoring the importance of biological context in shaping metabolic responses. In human LUAD, TBX5 is enriched in females and predicts improved survival, suggesting that it may serve as a marker of favorable outcome and help guide future studies of -KG. Together, this work identifies -KG as an epigenetically active metabolite with translational promise for lung cancer chemoprevention. GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=154 SRC="FIGDIR/small/677388v1_ufig1.gif" ALT="Figure 1"> View larger version (41K): org.highwire.dtl.DTLVardef@1615a31org.highwire.dtl.DTLVardef@68884corg.highwire.dtl.DTLVardef@cc5ed1org.highwire.dtl.DTLVardef@1652c60_HPS_FORMAT_FIGEXP M_FIG C_FIG One-sentence summary-Ketoglutarate remodels lung adenocarcinoma through sex-dependent epigenetic, transcriptional, and immune reprogramming.

cancer biology↗

Glucose deprivation promotes pseudo-hypoxia and de-differentiation in lung adenocarcinoma

Increased utilization of glucose is a hallmark of cancer. Several studies are investigating the efficacy of glucose restriction by glucose transporter blockade or glycolysis inhibition. However, the adaptations of cancer cells to glucose restriction are unknown. Here, we report the discovery that glucose restriction in lung adenocarcinoma (LUAD) induces cancer cell de-differentiation, leading to a more aggressive phenotype. Glucose deprivation causes a reduction in alpha-ketoglutarate (KG), leading to attenuated activity of KG-dependent histone demethylases and histone hypermethylation. We further show that this de-differentiated phenotype depends on unbalanced EZH2 activity, causing inhibition of prolyl-hydroxylase PHD3 and increased expression of hypoxia inducible factor 1 (HIF1), triggering epithelial to mesenchymal transition. Finally, we identified an HIF1-dependent transcriptional signature with prognostic significance in human LUAD. Our studies further current knowledge of the relationship between glucose metabolism and cell differentiation in cancer, characterizing the epigenetic adaptation of cancer cells to glucose deprivation and identifying novel targets to prevent the development of resistance to therapies targeting glucose metabolism.

cancer biology↗

The metabolite alpha-ketobutyrate increases health and life spans by activating AMPK

Aging is a complex process that is directly related to human health and disease. The extraordinary finding that aging is malleable, as shown in model organisms whose life and health spans are extended by specific gene mutations or dietary or pharmacological perturbations 1-3, has offered enormous hope for our understanding and treatment of aging and related diseases. Although many molecules have been identified that can extend the lifespan of model organisms, few have been shown to alleviate age-related symptoms or illness in mammals 4. Here we show that supplementation with the endogenous metabolite -ketobutyrate (-KB) increases the lifespan of adult C. elegans. Using Gelfree DARTS-PROTOMAP, we identified microtubule-actin cross-linking factor (MACF1) that was protected against proteolysis in the presence of -KB. MACF1 belongs to the spectraplakin family of giant, evolutionarily conserved proteins with versatile functions 5, but their link to longevity regulation has not been explored. -KBs longevity effect in C. elegans is abrogated by loss-of-function mutation in vab-10, encoding the worm ortholog of mammalian MACF1 6. Like -KB treatment, vab-10 knockdown activates AMP-activated protein kinase (AMPK), and AMPK is required for -KB effects on longevity. The findings suggest a model in which -KB increases longevity by activating AMPK via VAB-10/MACF1 modulation. -KB also delays aging in mammals, increasing the lifespan of aged male mice and the healthspan of both male and female animals. Targeting of broadly expressed scaffolding proteins in connection to cellular energy homeostasis seems to be a clever way that nature has devised for metabolite signals to impinge upon multiple organ and tissue systems, which may have utility for controlling aging and related diseases.

physiology↗

An atlas of epithelial cell states and plasticity in lung adenocarcinoma

Understanding cellular processes underlying early lung adenocarcinoma (LUAD) development is needed to devise intervention strategies1. Here we studied 246,102 single epithelial cells from 16 early-stage LUADs and 47 matched normal lung samples. Epithelial cells comprised diverse normal and cancer cell states, and diversity among cancer cells was strongly linked to LUAD-specific oncogenic drivers. KRAS mutant cancer cells showed distinct transcriptional features, reduced differentiation and low levels of aneuploidy. Non-malignant areas surrounding human LUAD samples were enriched with alveolar intermediate cells that displayed elevated KRT8 expression (termed KRT8+ alveolar intermediate cells (KACs) here), reduced differentiation, increased plasticity and driver KRAS mutations. Expression profiles of KACs were enriched in lung precancer cells and in LUAD cells and signified poor survival. In mice exposed to tobacco carcinogen, KACs emerged before lung tumours and persisted for months after cessation of carcinogen exposure. Moreover, they acquired Kras mutations and conveyed sensitivity to targeted KRAS inhibition in KAC-enriched organoids derived from alveolar type 2 (AT2) cells. Last, lineage-labelling of AT2 cells or KRT8+ cells following carcinogen exposure showed that KACs are possible intermediates in AT2-to-tumour cell transformation.

cancer biology↗

Image quantification technique reveals novel lung cancer cytoskeletal phenotype with partial EMT signature

Epithelial-mesenchymal Transition (EMT) is a multi-step process that involves cytoskeletal rearrangement. Here, using novel image quantification tools, we have identified an intermediate EMT state with a specific cytoskeletal signature. We have been able to partition EMT into two steps: (1) initial formation of transverse arcs and dorsal stress fibers and (2) their subsequent conversion to ventral stress fibers with a concurrent alignment of fibers. Using the Orientational Order Parameter (OOP) as a figure of merit, we have been able to track EMT progression in live cells as well as characterize and quantify drug responses. Our technique has improved throughput and is non-destructive, making it a viable candidate for studying a broad range of biological processes. Further, owing to the increased stiffness (and hence invasiveness) of the intermediate phenotype compared to mesenchymal cells, our work can be instrumental in aiding the search for new treatment strategies that combat metastasis by specifically targeting the fiber alignment process.

biophysics↗

Single-cell characterization of subsolid and solid lesions in the lung adenocarcinoma spectrum

Determining the clinical significance of CT scan-detected subsolid pulmonary nodules requires an understanding of the molecular and cellular features that may foreshadow disease progression. We studied the alterations at the transcriptome level in both immune and non-immune cells, utilizing single-cell RNA sequencing, to compare the microenvironment of subsolid, solid, and non-involved lung tissues from surgical resection specimens. This evaluation of early spectrum lung adenocarcinoma reveals a significant decrease in the cytolytic activities of natural killer and natural killer T cells, accompanied by a reduction of effector T cells as well as an increase of CD4+ regulatory T cells in subsolid lesions. Characterization of non-immune cells revealed that both cancer-associated alveolar type 2 cells and fibroblasts contribute to the deregulation of the extracellular matrix, potentially affecting immune infiltration in subsolid lesions through ligand-receptor interactions. These findings suggest a decrement of immune surveillance in subsolid lesions.

cancer biology↗

Novel Kras-mutant murine models of non-small cell lung cancer possessing co-occurring oncogenic mutations and increased tumor mutational burden

Despite recent advances in lung cancer immunotherapy, a major obstacle to the progress in the field is the lack of preclinical models that recapitulate the genetic and immunologic complexity of human disease. Conditional genetically engineered mouse models (GEMMs) of non-small cell lung cancer (NSCLC) harbor the common oncogenic mutations of the disease, but these models possess low tumor mutational burden (TMB), which limits their utility in immunotherapy studies. Here, we establish novel Kras-mutant murine models of NSCLC bearing common genetic alterations associated with the disease and increased TMB, by in vitro exposure of cell lines derived from GEMMs of NSCLC [KrasG12D (K), KrasG12DTp53-/- (KP), KrasG12DTp53+/-Lkb1-/- (KPL)] to the alkylating agent N-methyl-N-nitrosourea (MNU). Increased TMB was associated with enhanced anti-tumor T cell responses and improved anti-PD-1 efficacy in syngeneic models, across all genetic backgrounds. However, anti-PD-1 efficacy was comparatively modest in the KPL cell lines with increased TMB, which possessed a distinct immunosuppressed tumor microenvironment (TME) primarily composed of granulocytic myeloid-derived suppressor cells (G-MDSCs). This phenotype is consistent with findings in human NSCLC where LKB1 loss is a driver of primary resistance to PD-1 blockade. In summary, these novel Kras-mutant murine NSCLC models bearing common co-occurring mutations with increased TMB possess clinically relevant TMEs and recapitulate the genetic complexity and therapeutic vulnerabilities of human NSCLC. We anticipate that these immunogenic models will facilitate the development of novel immunotherapies in NSCLC.

cell biology↗

Molecular Subtyping reveals Immune Alterations associated with Progression of Bronchial Premalignant Lesions

Bronchial premalignant lesions (PMLs) are precursors of lung squamous cell carcinoma, but have variable outcome, and we lack tools to identify and treat PMLs at highest risk for progression to invasive cancer. Profiling endobronchial biopsies of PMLs obtained from high-risk smokers by RNA-Seq identified four PML subtypes with differences in epithelial and immune processes. One molecular subtype (Proliferative) is enriched with dysplastic lesions and exhibits up-regulation of metabolic and cell cycle pathways and down-regulation of ciliary processes. RNA-Seq profiles from normal-appearing uninvolved large airway brushings could identify subjects with Proliferative lesions with high specificity. Expression of interferon signaling and antigen processing/presentation pathways are decreased in progressive/persistent Proliferative lesions and immunofluorescence indicates a depletion of innate and adaptive immune cells in these lesions. Molecular biomarkers measured in PMLs or the uninvolved airway can enhance histopathological grading and suggests that immunoprevention strategies may be effective in intercepting the progression of PMLs to lung cancer.

cancer biology↗

Summarizing Performance for Genome Scale Measurement of miRNA: Reference Samples and Metrics

BackgroundThe potential utility of microRNA as biomarkers for early detection of cancer and other diseases is being investigated with genome-scale profiling of differentially expressed microRNA. Processes for measurement assurance are critical components of genome-scale measurements. Here, we evaluated the utility of a set of total RNA samples, designed with between-sample differences in the relative abundance of miRNAs, as process controls.\n\nResultsThree pure total human RNA samples (brain, liver, and placenta) and two different mixtures of these components were evaluated as measurement assurance control samples on multiple measurement systems at multiple sites and over multiple rounds. In silico modeling of mixtures provided benchmark values for comparison with physical mixtures. Biomarker development laboratories using next-generation sequencing (NGS) or genome-scale hybridization assays participated in the study and returned data from the samples using their routine workflows. Multiplexed and single assay reverse-transcription PCR (RT-PCR) was used to confirm in silico predicted sample differences. Data visualizations and summary metrics for genome-scale miRNA profiling assessment were developed using this dataset, and a range of performance was observed. These metrics have been incorporated into an online data analysis pipeline and provide a convenient dashboard view of results from experiments following the described design. The website also serves as a repository for the accumulation of performance values providing new participants in the project an opportunity to learn what may be achievable with similar measurement processes.\n\nConclusionsThe set of reference samples used in this study provides benchmark values suitable for assessing genome-scale miRNA profiling processes. Incorporation of these metrics into an online resource allows laboratories to periodically evaluate their performance and assess any changes introduced into their measurement process.

genomics↗