Transcriptome Profiling Of Cells Research Articles

Role of TOMM34 on NF-κB activation-related hyperinflammation in severely ill patients with COVID-19 and influenza

Highly pathogenic respiratory RNA viruses such as SARS-CoV-2 and its associated syndrome COVID-19 pose a tremendous threat to the global public health. Innate immune responses to SARS-CoV-2 depend mainly upon the NF-κB-mediated inflammation. Identifying unknown host factors driving the NF-κB activation and inflammation is crucial for the development of immune intervention strategies. Published single-cell RNA sequencing (scRNA-seq) data was used to analyze the differential transcriptome profiles of bronchoalveolar lavage (BAL) cells between healthy individuals (n=27) and patients with severe COVID-19 (n=21), as well as the differential transcriptome profiles of peripheral blood mononuclear cells (PBMCs) between healthy individuals (n=22) and severely ill patients with COVID-19 (n=45) or influenza (n=16). Loss-of-function and gain-of-function assays were performed in diverse viruses-infected cells and male mice models to identify the role of TOMM34 in antiviral innate immunity. TOMM34, together with a list of genes encoding pro-inflammatory cytokines and antiviral immune proteins, was transcriptionally upregulated in circulating monocytes, lung epithelium and innate immune cells from individuals with severe COVID-19 or influenza. Deficiency of TOMM34/Tomm34 significantly impaired the type I interferon responses and NF-κB-mediated inflammation in various human/murine cell lines, murine bone marrow-derived macrophages (BMDMs) and invivo. Mechanistically, TOMM34 recruits TRAF6 to facilitate the K63-linked polyubiquitination of NEMO upon viral infection, thus promoting the downstream NF-κB activation. In this study, viral induction of TOMM34 is positively correlated with the hyperinflammation in severely ill patients with COVID-19 and influenza. Our findings also highlight the physiological role of TOMM34 in the innate antiviral signallings. A full list of funding sources can be found in the acknowledgements section.

The opposite aging effect to single cell transcriptome profile among cell subsets.

Comparing transcriptome profiling between younger and older samples reveals genes related to aging and provides insight into the biological functions affected by aging. Recent research has identified sex, tissue, and cell type-specific age-related changes in gene expression. This study reports the overall picture of the opposite aging effect, in which aging increases gene expression in one cell subset and decreases it in another cell subset. Using the Tabula Muris Senis dataset, a large public single-cell RNA sequencing dataset from mice, we compared the effects of aging in different cell subsets. As a result, the opposite aging effect was observed widely in the genes, particularly enriched in genes related to ribosomal function and translation. The opposite aging effect was observed in the known aging-related genes. Furthermore, the opposite aging effect was observed in the transcriptome diversity quantified by the number of expressed genes and the Shannon entropy. This study highlights the importance of considering the cell subset when intervening with aging-related genes.

Single cell transcriptomic profiling identifies tumor-acquired and therapy-resistant cell states in pediatric rhabdomyosarcoma

Rhabdomyosarcoma (RMS) is a pediatric tumor that resembles undifferentiated muscle cells; yet the extent to which cell state heterogeneity is shared with human development has not been described. Using single-cell/nucleus RNA sequencing from patient tumors, patient-derived xenografts, primary in vitro cultures, and cell lines, we identify four dominant muscle-lineage cell states: progenitor, proliferative, differentiated, and ground cells. We stratify these RMS cells/nuclei along the continuum of human muscle development and show that they share expression patterns with fetal/embryonal myogenic precursors rather than postnatal satellite cells. Fusion-negative RMS (FN-RMS) have a discrete stem cell hierarchy that recapitulates fetal muscle development and contain therapy-resistant FN-RMS progenitors that share transcriptomic similarity with bipotent skeletal mesenchymal cells. Fusion-positive RMS have tumor-acquired cells states, including a neuronal cell state, that are not found in myogenic development. This work identifies previously underappreciated cell state heterogeneity including unique treatment-resistant and tumor-acquired cell states that differ across RMS subtypes.

T-cell dysfunction in CLL is mediated through expression of Siglec-10 ligands CD24 and CD52 on CLL cells

AbstractAutologous T-cell–based therapies, such as chimeric antigen receptor (CAR) T-cell therapy, exhibit low success rates in chronic lymphocytic leukemia (CLL) and correlate with a dysfunctional T-cell phenotype observed in patients. Despite various proposed mechanisms of T-cell dysfunction in CLL, the specific CLL-derived factors responsible remain unidentified. This study aimed to investigate the mechanisms through which CLL cells suppress CAR T-cell activation and function. We found that CLL-derived T cells get activated, albeit in a delayed fashion, and specifically that restimulation of CAR T cells in the presence of CLL cells causes impaired cytokine production and reduced proliferation. Notably, coculture of T cells with CD40-activated CLL cells did not lead to T-cell dysfunction, and this required direct cell contact between the CD40-stimulated CLL cells and T cells. Inhibition of kinases involved in the CD40 signaling cascade revealed that the Spare Respiratory Capacity (SRC) kinase inhibitor dasatinib prevented rescue of T-cell function independent of CD40-mediated increased levels of costimulatory and adhesion ligands on CLL cells. Transcriptome profiling of CD40-stimulated CLL cells with or without dasatinib identified widespread differential gene expression. Selecting for surface receptor genes revealed CD40-mediated downregulation of the Sialic acid-binding Ig-like lectin 10 (Siglec-10) ligands CD24 and CD52, which was prevented by dasatinib, suggesting a role for these ligands in functional T-cell suppression in CLL. Indeed, blocking CD24 and/or CD52 markedly reduced CAR T-cell dysfunction upon coculture with resting CLL cells. These results demonstrated that T cells derived from CLL patients can be reinvigorated by manipulating CLL–T-cell interactions. Targeting CD24- and CD52-mediated CLL–T-cell interaction could be a promising therapeutic strategy to enhance T-cell function in CLL.

TWIST1+FAP+ fibroblasts in the pathogenesis of intestinal fibrosis in Crohn's disease.

Intestinal fibrosis, a severe complication of Crohn's disease (CD), is characterized by excessive extracellular matrix (ECM) deposition and induces intestinal strictures, but there are no effective antifibrosis drugs available for clinical application. We performed single-cell RNA sequencing (scRNA-Seq) of fibrotic and nonfibrotic ileal tissues from patients with CD with intestinal obstruction. Analysis revealed mesenchymal stromal cells (MSCs) as the major producers of ECM and the increased infiltration of its subset FAP+ fibroblasts in fibrotic sites, which was confirmed by immunofluorescence and flow cytometry. Single-cell transcriptomic profiling of chronic dextran sulfate sodium salt murine colitis model revealed that CD81+Pi16- fibroblasts exhibited transcriptomic and functional similarities to human FAP+ fibroblasts. Consistently, FAP+ fibroblasts were identified as the key subtype with the highest level of ECM production in fibrotic intestines. Furthermore, specific knockout or pharmacological inhibition of TWIST1, which was highly expressed by FAP+ fibroblasts, could significantly ameliorate fibrosis in mice. In addition, TWIST1 expression was induced by CXCL9+ macrophages enriched in fibrotic tissues via IL-1β and TGF-β signal. These findings suggest the inhibition of TWIST1 as a promising strategy for CD fibrosis treatment.

Combinatorial macrophage induced innate immunotherapy against Ewing sarcoma: Turning “Two Keys” simultaneously

BackgroundMacrophages play important roles in phagocytosing tumor cells. However, tumors escape macrophage phagocytosis in part through the expression of anti-phagocytic signals, most commonly CD47. In Ewing sarcoma (ES), we found that tumor cells utilize dual mechanisms to evade macrophage clearance by simultaneously over-expressing CD47 and down-regulating cell surface calreticulin (csCRT), the pro-phagocytic signal. Here, we investigate the combination of a CD47 blockade (magrolimab, MAG) to inhibit the anti-phagocytic signal and a chemotherapy regimen (doxorubicin, DOX) to enhance the pro-phagocytic signal to induce macrophage phagocytosis of ES cells in vitro and inhibit tumor growth and metastasis in vivo.MethodsMacrophages were derived from human peripheral blood monocytes by granulocyte–macrophage colony-stimulating factor (GM-CSF) and macrophage colony-stimulating factor (M-CSF). Flow cytometry- and microscopy-based in-vitro phagocytosis assays were performed to evaluate macrophage phagocytosis of ES cells. Annexin-V assay was performed to evaluate apoptosis. CD47 was knocked out by CRISPR/Cas9 approach. ES cell-based and patient-derived-xenograft (PDX)-based mouse models were utilized to assess the effects of MAG and/or DOX on ES tumor development and animal survival. RNA-Seq combined with CIBERSORTx analysis was utilized to identify changes in tumor cell transcriptome and tumor infiltrating immune cell profiling in MAG and/or DOX treated xenograft tumors.ResultsWe found that MAG significantly increased macrophage phagocytosis of ES cells in vitro (p < 0.01) and had significant effect on reducing tumor burden (p < 0.01) and increasing survival in NSG mouse model (p < 0.001). The csCRT level on ES cells was significantly enhanced by DOX in a dose- and time-dependent manner (p < 0.01). Importantly, DOX combined with MAG significantly enhanced macrophage phagocytosis of ES cells in vitro (p < 0.01) and significantly decreased tumor burden (p < 0.01) and lung metastasis (p < 0.0001) and extended animal survival in vivo in two different mouse models of ES (p < 0.0001). Furthermore, we identified CD38, CD209, CD163 and CD206 as potential markers for ES-phagocytic macrophages. Moreover, we found increased M2 macrophage infiltration and decreased expression of Cd209 in the tumor microenvironment of MAG and DOX combinatorial therapy treated tumors.ConclusionsBy turning “two keys” simultaneously to reactivate macrophage phagocytic activity, our data demonstrated an effective and highly translatable alternative therapeutic approach utilizing innate (tumor associated macrophages) immunotherapy against high-risk metastatic ES.

Comparative Cell Wall Polysaccharide Analyses and Transcriptome Profiling during Fruit Ripening Reveal the Molecular Basis of Mealiness in Peach

Mealy peaches are dry and flavorless, which reduces their consumer acceptance. A deeper understanding of the mechanism underlying mealiness is crucial to enhancing peach fruit quality. In this study, comparative profiling was conducted on CP13, CP14, CM, and RM peaches. Sensory evaluation indicated that CP13 and CM are non-mealy clingstone and freestone peaches, respectively, and CP14 and RM are mealy freestone peaches. Both CP13 and CP14, identified as stony hard (SH) peaches, exhibited minimal ethylene release, whereas CM and RM, identified as melting flesh (MF) peaches, released high amounts of ethylene during the ripening process. Scanning electron microscopy (SEM) microstructure observation indicated that cells in the flesh tissue of mealy peaches, CP14 (SH) and RM (MF), were intact and separated, with large intercellular spaces and irregular arrangements. The main factor that promotes mealiness is differences in pectin metabolism, which impact cell wall composition. The fluctuations in polygalacturonase (PG) and pectin methylesterase (PME) activity between mealy and non-mealy peaches were the main factor contributing to mealiness. However, the changes in cell wall metabolism that caused these fluctuations did not have a clear direction. Using transcriptome analysis and weighted gene co-expression network analysis (WGCNA), we were able to identify forty differentially expressed genes (DEGs) that are associated with mealy patterns. Among these DEGs, genes encoding PG were significantly upregulated in mealy peaches (CP14 and RM) compared to non-mealy peaches (CP13 and CM). PpPG1 was the main effector gene for mealiness, while PpPG2, PpEGase2, PpEXP1, PpEXP3, PpAGP2, PpIAA4, and PpABA2 were identified as candidate genes regulating peach mealiness. These findings provide a solid experimental basis for understanding the textual distinctions between mealy and non-mealy peaches.

Mapping Somatosensory Afferent Circuitry to Bone Identifies Neurotrophic Signals Required for Fracture Healing.

The profound pain accompanying bone fracture is mediated by somatosensory neurons, which also appear to be required to initiate bone regeneration following fracture. Surprisingly, the precise neuroanatomical circuitry mediating skeletal nociception and regeneration remains incompletely understood. Here, we characterized somatosensory dorsal root ganglia (DRG) afferent neurons innervating murine long bones before and after experimental long bone fracture in mice. Retrograde labeling of DRG neurons by an adeno-associated virus with peripheral nerve tropism showed AAV-tdT signal. Single cell transcriptomic profiling of 6,648 DRG neurons showed highest labeling across CGRP+ neuron clusters (6.9-17.2%) belonging to unmyelinated C fibers, thinly myelinated Aδ fibers and Aβ-Field LTMR (9.2%). Gene expression profiles of retrograde labeled DRG neurons over multiple timepoints following experimental stress fracture revealed dynamic changes in gene expression corresponding to the acute inflammatory ( S100a8 , S100a9 ) and mechanical force ( Piezo2 ). Reparative phase after fracture included morphogens such as Tgfb1, Fgf9 and Fgf18 . Two methods to surgically or genetically denervate fractured bones were used in combination with scRNA-seq to implicate defective mesenchymal cell proliferation and osteodifferentiation as underlying the poor bone repair capacity in the presence of attenuated innervation. Finally, multi-tissue scRNA-seq and interactome analyses implicated neuron-derived FGF9 as a potent regulator of fracture repair, a finding compatible with in vitro assessments of neuron-to-skeletal mesenchyme interactions.

An Exercise Immune Fitness Test to Unravel Disease Mechanisms-A Proof-of-Concept Heart Failure Study.

Background: Cardiorespiratory fitness positively correlates with longevity and immune health. Regular exercise may provide health benefits by reducing systemic inflammation. In chronic disease conditions, such as chronic heart failure and chronic fatigue syndrome, mechanistic links have been postulated between inflammation, muscle weakness, frailty, catabolic/anabolic imbalance, and aberrant chronic activation of immunity with monocyte upregulation. We hypothesize that (1) temporal changes in transcriptome profiles of peripheral blood mononuclear cells during strenuous acute bouts of exercise using cardiopulmonary exercise testing are present in adult subjects, (2) these temporal dynamic changes are different between healthy persons and heart failure patients and correlate with clinical exercise-parameters and (3) they portend prognostic information. Methods: In total, 16 Heart Failure (HF) patients and 4 healthy volunteers (HV) were included in our proof-of-concept study. All participants underwent upright bicycle cardiopulmonary exercise testing. Blood samples were collected at three time points (TP) (TP1: 30 min before, TP2: peak exercise, TP3: 1 h after peak exercise). We divided 20 participants into 3 clinically relevant groups of cardiorespiratory fitness, defined by peak VO2: HV (n = 4, VO2 ≥ 22 mL/kg/min), mild HF (HF1) (n = 7, 14 < VO2 < 22 mL/kg/min), and severe HF (HF2) (n = 9, VO2 ≤ 14 mL/kg/min). Results: Based on the statistical analysis with 20-100% restriction, FDR correction (p-value 0.05) and 2.0-fold change across the three time points (TP1, TP2, TP3) criteria, we obtained 11 differentially expressed genes (DEG). Out of these 11 genes, the median Gene Expression Profile value decreased from TP1 to TP2 in 10 genes. The only gene that did not follow this pattern was CCDC181. By performing 1-way ANOVA, we identified 8/11 genes in each of the two groups (HV versus HF) while 5 of the genes (TTC34, TMEM119, C19orf33, ID1, TKTL2) overlapped between the two groups. We found 265 genes which are differentially expressed between those who survived and those who died. Conclusions: From our proof-of-concept heart failure study, we conclude that gene expression correlates with VO2 peak in both healthy individuals and HF patients, potentially by regulating various physiological processes involved in oxygen uptake and utilization during exercise. Multi-omics profiling may help identify novel biomarkers for assessing exercise capacity and prognosis in HF patients, as well as potential targets for therapeutic intervention to improve VO2 peak and quality of life. We anticipate that our results will provide a novel metric for classifying immune health.

JUN mediates the senescence associated secretory phenotype and immune cell recruitment to prevent prostate cancer progression

BackgroundProstate cancer develops through malignant transformation of the prostate epithelium in a stepwise, mutation-driven process. Although activator protein-1 transcription factors such as JUN have been implicated as potential oncogenic drivers, the molecular programs contributing to prostate cancer progression are not fully understood.MethodsWe analyzed JUN expression in clinical prostate cancer samples across different stages and investigated its functional role in a Pten-deficient mouse model. We performed histopathological examinations, transcriptomic analyses and explored the senescence-associated secretory phenotype in the tumor microenvironment.ResultsElevated JUN levels characterized early-stage prostate cancer and predicted improved survival in human and murine samples. Immune-phenotyping of Pten-deficient prostates revealed high accumulation of tumor-infiltrating leukocytes, particularly innate immune cells, neutrophils and macrophages as well as high levels of STAT3 activation and IL-1β production. Jun depletion in a Pten-deficient background prevented immune cell attraction which was accompanied by significant reduction of active STAT3 and IL-1β and accelerated prostate tumor growth. Comparative transcriptome profiling of prostate epithelial cells revealed a senescence-associated gene signature, upregulation of pro-inflammatory processes involved in immune cell attraction and of chemokines such as IL-1β, TNF-α, CCL3 and CCL8 in Pten-deficient prostates. Strikingly, JUN depletion reversed both the senescence-associated secretory phenotype and senescence-associated immune cell infiltration but had no impact on cell cycle arrest. As a result, JUN depletion in Pten-deficient prostates interfered with the senescence-associated immune clearance and accelerated tumor growth.ConclusionsOur results suggest that JUN acts as tumor-suppressor and decelerates the progression of prostate cancer by transcriptional regulation of senescence- and inflammation-associated genes. This study opens avenues for novel treatment strategies that could impede disease progression and improve patient outcomes.Graphical

The transcriptome of acute dehydration in myeloid leukemic cells.

Human myeloid leukemia cells (HL-60/S4) exposed to hyperosmotic stress with sucrose undergo dehydration and cell shrinkage. Interphase chromatin and mitotic chromosomes congeal, exhibiting altered phase separation (demixing) of chromatin proteins. To investigate changes in the transcriptome, we exposed HL-60/S4 cells to hyperosmotic sucrose stress (~600 milliOsmolar) for 30 and 60 minutes. We employed RNA-Seq of polyA mRNA to identify genes with increased or decreased transcript levels relative to untreated control cells (i.e., differential gene expression). These genes were examined for over-representation of Gene Ontology (GO) terms. In stressed cells, multiple GO terms associated with transcription, translation, mitochondrial function and proteosome activity, as well as "replication-dependent histones", were over-represented among genes with increased transcript levels; whereas, genes with decreased transcript levels were over-represented with transcription repressors. The transcriptome profiles of hyperosmotically-stressed cells suggest acquisition of cellular rebuilding, a futile homeostatic response, as these cells are ultimately doomed to a dehydrated death.

Inorganic Biomaterials Shape the Transcriptome Profile to Induce Endochondral Differentiation.

Minerals play a vital role, working synergistically with enzymes and other cofactors to regulate physiological functions including tissue healing and regeneration. The bioactive characteristics of mineral-based nanomaterials can be harnessed to facilitate in situ tissue regeneration by attracting endogenous progenitor and stem cells and subsequently directing tissue-specific differentiation. Here, cellular responses of human mesenchymal stem/stromal cells to traditional bioactive mineral-based nanomaterials, such as hydroxyapatite, whitlockite, silicon-dioxide, and the emerging synthetic 2D nanosilicates are investigated. Transcriptome sequencing is utilized to probe the cellular response and determine the significantly affected signaling pathways due to exposure to these inorganic nanomaterials. Transcriptome profiles of stem cells treated with nanosilicates reveals a stabilized skeletal progenitor state suggestive of endochondral differentiation. This observation is bolstered by enhanced deposition of matrix mineralization in nanosilicate treated stem cells compared to control or other treatments. Specifically, use of 2D nanosilicates directs osteogenic differentiation of stem cells via activation of bone morphogenetic proteins and hypoxia-inducible factor 1-alpha signaling pathway. This study provides insight into impact of nanomaterials on cellular gene expression profileand predicts downstream effects of nanomaterial induction of endochondral differentiation.

CCR2+ monocytes promote white matter injury and cognitive dysfunction after myocardial infarction

Survivors of myocardial infarction are at increased risk for vascular dementia. Neuroinflammation has been implicated in the pathogenesis of vascular dementia, yet little is known about the cellular and molecular mediators of neuroinflammation after myocardial infarction. Using a mouse model of myocardial infarction coupled with flow cytometric analyses and immunohistochemistry, we discovered increased monocyte abundance in the brain after myocardial infarction, which was associated with increases in brain-resident perivascular macrophages and microglia. Myeloid cell recruitment and activation was also observed in post-mortem brains of humans that died after myocardial infarction. Spatial and single cell transcriptomic profiling of brain-resident myeloid cells after experimental myocardial infarction revealed increased expression of monocyte chemoattractant proteins. In parallel, myocardial infarction increased crosstalk between brain-resident myeloid cells and oligodendrocytes, leading to neuroinflammation, white matter injury, and cognitive dysfunction. Inhibition of monocyte recruitment preserved white matter integrity and cognitive function, linking monocytes to neurodegeneration after myocardial infarction. Together, these preclinical and clinical results demonstrate that monocyte infiltration into the brain after myocardial infarction initiate neuropathological events that lead to vascular dementia.

Generation and Downstream Analysis of Single-Cell and Single-Nuclei Transcriptomes in Brain Organoids.

Over the past decade, single-cell transcriptomics has significantly evolved and become a standard laboratory method for simultaneous analysis of gene expression profiles of individual cells, allowing the capture of cellular diversity. In order to overcome limitations posed by difficult-to-isolate cell types, an alternative approach aiming at recovering single nuclei instead of intact cells can be utilized for sequencing, making transcriptome profiling of individual cells universally applicable. These techniques have become a cornerstone in the study of brain organoids, establishing them as models of the developing human brain. Leveraging the potential of single-cell and single-nucleus transcriptomics in brain organoid research, this protocol presents a step-by-step guide encompassing key procedures such as organoid dissociation, single-cell or nuclei isolation, library preparationand sequencing. By implementing these alternative approaches, researchers can obtain high-quality datasets, enabling the identification of neuronal and non-neuronal cell types, gene expression profiles, and cell lineage trajectories. This facilitates comprehensive investigations into cellular processes and molecular mechanisms shaping brain development.

Abstract 5480: Single cell and spatial transcriptomic profile of appendiceal tumour peritoneal disease

Abstract Introduction: Appendiceal tumors (AT) are rare and often develop peritoneal disease (PD), with 5 year survival of 15-63% for high grade adenocarcinomas (HG) and 46-96% for low grade mucinous neoplasms (LG). While the mainstay of treatment is cytoreductive surgery and heated intraperitoneal chemotherapy (CRS/HIPEC), the role of systemic chemotherapy is less clear with limited biological characterization of AT and its tumor microenvironment (TME). The purpose of this study was to evaluate the TME of AT PD. Here we present an atlas of AT PD cells alongside a spatially resolved transcriptomic profile comparing HG and LG. Methods: We collected tissue from 29 patients with AT PD during CRS prior to HIPEC (18 LG, nine HG and two no tumor control). We performed comprehensive single-cell RNA sequencing (38224 cells) on fresh tissue specimens from nine patients (four HG, five LG), and whole transcriptome spatial analysis (&amp;gt;18000 genes) using the GeoMx Digital Spatial Profiler on formalin-fixed paraffin-embedded tissue from 22 patients (five HG, 13 LG). In the spatial profiling, we used anti-CK20, anti-CD45 and SYTO 83 as morphology markers to select areas of interest (AOIs): tumor (CK20), immune (CD45) and stroma (non-CK20/CD45). Analyses were performed with R and a false discovery rate threshold of 0.05. Results: Single-cell RNA sequencing showed that both LG and HG have a preponderance of T-lineage cells including CD8, CD4 and NK T-cells. Both LG and HG tumors display association of mesothelial cells with cancer-associated fibroblasts (CAF), and CAF subsets expressing genes of epithelial-mesenchymal transition (EMT). LG and HG tumors display different patterns of mucin gene expression - epithelial cells of HG express the secreted mucin MUC20 in addition to MUC2 and MUC5B also expressed in LG; a subset of mesothelial cells in LG but not HG express the transmembrane mucin genes MUC1, MUC3A, MUC12 and MUC16. Spatial analysis of tumor AOIs revealed HG compared to LG had increased expression of genes associated with MYC targets, oxidative phosphorylation, anti-tumor immune pathways (IFNα/γ response, intestinal immune network for IGA production), cell cycle pathways (E2F targets, G2M checkpoint) and EMT. LG compared to HG had increased expression of genes associated with inflammation-mediated disease (TNFα signaling via NFKB, inflammatory response), regulation of tumor growth (P53), hypoxia and early cell cycle (estrogen response) and glycosylation pathways. Immune and stromal AOIs did not have significant transcriptomic differences between LG and HG. Conclusion: This study provides novel insights into the biological profile of AT PD by describing TME cell types, immune function, tumor growth and cell cycle pathways. These findings may be used to identify clinically relevant biomarkers and new therapeutic targets. Citation Format: Madeleine C. Strach, Nicole Yeung, Eva Apostolov, Tony Wang, Hui-Ming Lin, Nabila Ansari, Cherry Koh, Joo-Shik Shin, James Kench, Alexander Swarbrick, Lisa Horvath, Kate L. Mahon. Single cell and spatial transcriptomic profile of appendiceal tumour peritoneal disease [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 5480.

Abstract 6326: Targeting PRDM1 to enhance CAR T cell efficacy against diffuse large B cell lymphoma (DLBCL)

Abstract CAR T cell therapy has shown remarkable success in treating patients with relapsed or refractory (r/r) DLBCL, but a majority (&amp;gt;60%) will experience disease progression. A key failure mechanism is the rapid terminal differentiation and exhaustion of CAR T cells, driven by persistent antigen exposure in vitro during manufacturing and in vivo in the DLBCL environment, which culminates in poor persistence and short-term effector functions. Recent studies have identified the transcriptional repressor PR/SET domain 1 (PRDM1) as a key regulator that drives differentiation of T cells toward these unwanted fates. Further, single cell transcriptomic profiling of r/r DLBCL biopsies has revealed PRDM1 enrichment in a cluster of exhausted-like CD8+ CAR T cells. These observations indicate that targeting PRDM1 could prevent or delay terminal differentiation/exhaustion in CAR T cells, thereby enhancing their persistence for lasting anti-tumor activity. Using CRISPR/Cas9 targeting, we have demonstrated that PRDM1-deficient CAR T cells exhibit enhanced proliferative capacity, memory characteristics, and resilience against exhaustion upon repeated stimulation. Moreover, genetic ablation of PRDM1 also promoted the in vivo expansion and persistence of CAR T cells, which led to significantly improved survival of lymphoma-bearing mice. Mechanistically, loss of PRDM1 leads to de-repression of PPARGC1A (PGC1α), a master regulator of mitochondrial biogenesis and antioxidant activity. This confers elevated tolerance to oxidative damage in CAR T cells lacking PRDM1, which showed increased capacity to buffer oxidative stress induced by mitochondrial uncouplers and constant stimulation. These findings suggest that PRDM1 loss may improve CAR T cell fitness through PGC1α upregulation and mitochondrial activation. From a translational perspective, we assessed the potential synergistic effects of PGC1α agonist, bezafibrate, with CAR T cells. Dual therapy with bezafibrate and CAR T cells mediated more robust expansion and anti-tumor immunity of CAR T cells without causing discernible adverse events. Importantly, bezafibrate alone had no direct tumoricidal effects, which indicates that bezafibrate suppressed tumor growth through modulating CAR T cell functions. Moving forward, we will uncover the previously uncharted role of PRDM1 in orchestrating the mitochondrial and metabolic activity of CAR T cells. Building upon a correlation between PRDM1 expression and CAR T cell dysfunction, we aim to pioneer the use of PRDM1 and/or its target genes as novel biomarkers for predicting clinical responses of r/r DLBCL patients to CAR T cell therapy. Our endeavors will shed light on the long-standing conundrum of CAR T cell dysfunction and offer solutions that may be applicable for improving T cell-based therapy against cancer in general. Citation Format: Sidney Wang, Lishi Xie, Xiufen Chen, Alan Cooper, Joanna Chorazeczewski, Justin Kline. Targeting PRDM1 to enhance CAR T cell efficacy against diffuse large B cell lymphoma (DLBCL) [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 6326.

Abstract 6925: Integrative single-cell tracking of genome evolution and tumor cell plasticity in small cell lung cancer (SCLC)

Abstract SCLC is the deadliest type of lung cancer, which is mostly diagnosed at late stages and accounts for 15% of pulmonary tumors. Even though chemotherapy is initially effective, patients with SCLC relapse quickly and develop resistant tumors. Genome studies revealed a universal loss of TP53 and RB1; recent transcriptional studies categorized SCLC based on the expression of 4 lineage transcription factors (TFs). We aimed to dissect how genomic cues impact transcriptional phenotypes, tumor cell plasticity and the dynamics of tumor and immune cell interactions, to thus decipher molecular mechanisms of phenotypic divergence and therapy resistance in SCLC. We performed genome sequencing and single cell transcriptome profiling of 55 tumors from patients with SCLC, including primary tumors, local and distant metastases and of paired relapsing tumors acquired after chemotherapy. Single cell sequencing was performed with the 10x Genomics platform and yielded &amp;gt; 200.000 cells. Transcriptome profiles at single cell levels revealed co-expression of at least two of the lineage TFs ASCL1, NEUROD1 or POU2F3 in each tumor. Copy number (cn) estimation for transcriptome data pointed to genomic events impacting transcriptional heterogeneity within the tumor. Furthermore, our data pointed to a marked intra- and interpatient, as well as to inter-metastatic heterogeneity. To specifically investigate how underlying genetic alterations affect molecular phenotypes, integrative studies across all patients were performed. This revealed shared transcriptional programs in tumors with amplifications of MYC family members; trajectory inference for cases with low and high-level copy gains of MYCN pointed to distinct transcriptional states. We performed multi-regional and longitudinal studies of matched patient cases to reconstruct the genomic patterns of clonal evolution, and projected genomic subsets to transcriptional profiles at single cell level, thus analyzing the effect of genome diversity on the transcriptional landscape. Additionally, tumor intrinsic profiles of heterogeneity were mapped to single cell data of patient tumors to elucidate the effects on tumor-immune cell interactions. All together our data points to a concerted regulation of a multitude of lineage factors and transcriptional programs in each SCLC tumor and provides a first comprehensive framework for the study of underlying genetic alterations that shape the transcriptional landscape and phenotypic plasticity in SCLC. Citation Format: Marcel Schmiel, Laura Kaiser, Maria Cartolano, Martin Peifer, Roman K. Thomas, Julie George. Integrative single-cell tracking of genome evolution and tumor cell plasticity in small cell lung cancer (SCLC) [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 6925.

Abstract 135: Resolving the tumorigenesis continuum of DICER1 syndrome with novel lineage-trackable genetically engineered mouse model

Abstract Background: DICER1 syndrome is a rare cancer predisposition syndrome associated with germline DICER1 mutations, which develops pulmonary or extra-pulmonary manifestations mostly in pediatric patients. Unlike classic tumor suppressors, the 2nd hit in DICER1 gene is a missense mutation that renders the RNase IIIb domain defective; therefore, this mutant form of DICER1 is the only protein expressed in these cancer cells, leading to a biased 5p-miRNA production deficiency. Many DICER1 cancers are sarcomas; we therefore postulate the cell of origin is mesenchymal. We recently developed a RNase IIIb-mutant mouse strain and embryonic activation of this mutant along with silencing of the other Dicer1 allele in Mullerian mesenchymal progenitor cells led to the development of tumors resembling sarcomas in human patients. To expand the model and enable lineage tracking, we developed a tamoxifen inducible, tdTomato-trackable, Hypermethylated in Cancer 1 (HIC1)-creERT2 driven transgenic mouse strain. Hic1 marks mesenchymal progenitors. With this strain, we created a model that histologically recapitulates the 3 renal tumors in DICER1 syndrome: cystic nephromas, Wilms tumors, and anaplastic sarcomas. Objective: to identify oncogenic events underlying Dicer1 mutation-driven murine kidney tumor development with single cell RNA-sequencing (scRNA-seq). Method: To build the tumorigenesis continuum, we harvested kidneys from Dicer1+/fl-D1693N and Dicer1fl/fl-D1693N mice at 1, 3, 6, months post tamoxifen injection, sorted out tdTomato+/CD45-/Epcam- cells, and performed scRNA-seq. Five endpoint tumors were included for analyses. Single cell transcriptomic profiles were integrated and clustered using Seurat to identify cell populations that emerge and expand along the tumor development continuum. Differential gene expression, pathway analysis were conducted to identify genes/oncogenic pathways that are activated along the course of tumor development. Cell differentiation trajectory analysis will be performed using Monocle. Results: Integration of 5 tumors revealed diverse cell populations: epithelial, mesenchymal, endothelial cells, lymphocytes, and macrophages. We further clustered the mesenchymal population and identified sub-populations such as highly proliferative cells, muscle satellite cells, and terminally differentiated muscle cells. These mesenchymal cells show high expression of blastema markers (Ncam1, Sox11) - a histological component in Wilms tumors. Temporal trajectory of tumorigenesis with time point samples is currently being analyzed. Conclusion: With scRNA-seq, we begin to unravel heterogeneity of these murine tumors and will identify critical oncogenic events driving the development of DICER1 syndrome-associated cancer, enabling us to utilize this model to develop therapeutic approaches to improve patient management. Citation Format: Joyce Zhang, Shary Chen, Yana Moscovitz, Branden Lynch, Maxwell Douglas, Janine Senz, Wilder Scott, Michael Underhill, Yemin Wang, David Huntsman. Resolving the tumorigenesis continuum of DICER1 syndrome with novel lineage-trackable genetically engineered mouse model [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 135.

Abstract 6236: Systems biology modeling identifies SMARCD3 as a master regulator facilitating everolimus resistance in ER+ breast cancer

Abstract Breast cancer is the most common malignancy in women and estrogen receptor positive (ER+) breast cancers represent nearly 75% of all breast tumors. Everolimus, an mTORC1 inhibitor, in combination with exemestane has been approved for patients with metastatic ER+ breast cancer. However, many patients eventually develop resistance to everolimus and leads to poor survival outcomes. Characterizing everolimus-resistant cells can reveal targetable molecular phenotypes that can eventually lead to new therapeutic targets. In this study, we elucidate systems-level phenotypic distinctions between everolimus sensitive and refractory cells. We generated several isogenic ER+ breast cancer cell lines resistant or sensitive to everolimus. We then leveraged transcriptomic profiles from sensitive and resistant cells before or after everolimus treatment to decipher the underlying mechanisms essential to the resistant state. Using linear mixed effect models, we identified several meta-phenotypes that were distinct between sensitive and resistant cell states. These included growth-factor signaling, cell cycle, metabolism, stemness, and apoptosis meta-phenotypes. Our analyses also identified strong activation of growth-factor receptors including IGF1R/INSR and ESR1 in the resistant cells, which were maintained despite everolimus treatment. Next, we adopted a transcriptional regulatory network reconstruction framework to identify the master regulators responsible for the activation of resistance meta-phenotypes. We identified SMARCD3 as the key master regulator controlling expression of genes across diverse resistance meta-phenotypes, including growth-factor signaling. Further, using transcriptomic profiles from a neoadjuvant trial of 23 post-menopausal ER+ breast cancers treated with everolimus, we found that SMARCD3 expression was elevated in resistant tumors. To confirm the role of SMARCD3 in everolimus resistance, we repressed transcription of the SMARCD3 gene using CRISPR interference to re-sensitize resistant cells to everolimus treatment. In conclusion, we used context-specific cell transcriptomic profiles and integrative systems-biology approaches to elucidate mechanisms of resistance in response to everolimus treatment in ER+ breast cancer. Our findings suggest SMARCD3 upregulation promotes resistance to everolimus treatment and may serve as a novel therapeutic target in ER+ breast cancer. Citation Format: Eric F. Medina, Patrick A. Cosgrove, Eleni Farmaki, Vince K. Grolmusz, Feng Chi, Jason I. Griffiths, Andrea H. Bild, Aritro Nath. Systems biology modeling identifies SMARCD3 as a master regulator facilitating everolimus resistance in ER+ breast cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 6236.

Bioengineered Hydrogels Recapitulate Fibroblast Heterogeneity in Cancer.

Recently mapped transcriptomic landscapes reveal the extent of heterogeneity in cancer-associated fibroblasts (CAFs) beyond previously established single-gene markers. Functional analyses of individual CAF subsets within the tumor microenvironment are critical to develop more accurate CAF-targeting therapeutic strategies. However, there is a lack of robust preclinical models that reflect this heterogeneity in vitro. In this study, single-cell RNA sequencing datasets acquired from head and neck squamous cell carcinoma tissues to predict microenvironmental and cellular features governing individual CAF subsets are leveraged. Some of these features are then incorporated into a tunable hyaluronan-based hydrogel system to culture patient-derived CAFs. Control over hydrogel degradability and integrin adhesiveness enabled derivation of the predominant myofibroblastic and inflammatory CAF subsets, as shown through changes in cell morphology and transcriptomic profiles. Last, using these hydrogel-cultured CAFs, microtubule dynamics are identified, but not actomyosin contractility, as a key mediator of CAF plasticity. The recapitulation of CAF heterogeneity in vitro using defined hydrogels presents unique opportunities for advancing the understanding of CAF biology and evaluation of CAF-targeting therapeutics.