Biology subjects

Tsankov, A. M.

Publications and source records attributed to Tsankov, A. M..

9 recordsLinked to original sources

bioRxiv2026

Organoid-T cell co-cultures functionally stratify tumor-reactive T cells and their responses to immune checkpoint inhibitors

Tumor-reactive T cells (TRTs) are critical for anti-tumor immunity but are incompletely captured by current assays, which fail to reproduce tumor-specific antigen diversity. Here, we show that multiplex functional profiling of patient-derived tumor organoid-T cell co-cultures (PDOTs) enables robust identification of TRTs across CD8, CD4, and double-negative (DN) T cell populations. Single activation markers underestimated TRT responses, whereas integrated analysis revealed broader functional repertoire. MHCI blockade abrogated CD8 and DN TRT responses while preserving CD4 reactivity, supporting antigen-dependent recognition across T cell lineages. Tumor PDO expressed MHCI and MHCII, and PDOTs enabled generation and detection of TRTs from peripheral blood. PD1 blockade induced heterogeneous responses, enhancing CD8 and DN activity and unexpectedly augmenting CD4 reactivity. PDOTs further identified additional inhibitory pathways whose therapeutic targeting in combination with PD1 blockade increased TRT responses. These findings establish PDOTs as a platform to identify TRTs and functionally stratify patient-specific tumor-T cell responses to checkpoint immunotherapy.

immunology↗

bioRxiv2025

Scar-associated endothelial-stellate cellular crosstalk drives fibrosis resolution in MASH

Fibrosis, or scarring, can affect many organs including liver, lung, heart, kidney, intestines etc. and is responsible for [~]40% of mortality in the industrialized world. Compared to other organs, fibrosis in the liver typically resolves when the source of injury is extinguished. Elucidating the molecular mechanisms that underlie spontaneous fibrosis resolution in the liver may lead to novel antifibrotic strategies for all organs. In this study we established a robust mouse model of fibrosis regression in MASH (Metabolic dysfunction-Associated Steatohepatitis), a highly prevalent chronic liver diseases worldwide, and performed single cell and in situ molecular profiling of the liver to define novel drivers of fibrosis regression. As fibrosis regressed, we detected a reduction of inflammatory cells and an expansion of endothelial cells. Prediction of cell-cell communication using the Calligraphy pipeline identified a Wnt9b-Sfrp2 crosstalk that emerges as fibrosis resolved in our model. To establish the Wnt9b-Sfrp2 crosstalk as a driver of fibrosis resolution we treated mice with recombinant Sfrp2, which slowed spontaneous fibrosis regression compared to vehicle treated mice. From our single cell datasets we identified a subset of endothelial cells, termed "Endo4", as the source of Wnt9b. Immunostaining of the Endo4 marker VWF using tissue clearing and 3D imaging revealed VWF+ vasculature enveloped by activated hepatic stellate cells (HSCs) that penetrated deep into the fibrotic septa, establishing Endo4 as de facto scar-associated endothelial cells and providing a structural basis of their cellular crosstalk with HSCs. Finally, using a recently developed in situ protease activity screen, prominent serine protease activity co-localized with both scar-associated Endo4 cells and HSCs. In summary, we uncovered an WNT-dependent endo-stellate crosstalk within the fibrotic niche as a novel regulatory node underlying murine MASH fibrosis regression, and a promising therapeutic target.

molecular biology↗

bioRxiv2024

NOTCH1 drives tumor plasticity and metastasis in hepatocellular carcinoma

Background & AimsLiver cancer, the third leading cause of cancer-related mortality worldwide, has two main subtypes: hepatocellular carcinoma (HCC), accounting the majority of the cases, and cholangiocarcinoma (CAA). Notch pathway primarily regulates the intrahepatic development of bile ducts, which are lined with cholangiocytes, but it can also be upregulated in 1/3 of HCCs. To better understand the role of NOTCH1 in HCC, we developed a novel mouse model driven by activated Notch1 intracellular domain (NICD1) and MYC overexpression in hepatocytes. MethodsUsing the hydrodynamic tail-vein injection method for establishing primary liver tumors, we generated a novel murine model of liver cancer harboring MYC overexpression and NOTCH1 activation. We characterized this model histopathologically as well as transcriptomically, utilizing both bulk and single cell RNA-sequencing. We also performed functional experiments using monoclonal antibodies. ResultsMYC;NICD1 tumors displayed a combined HCC-CCA phenotype with temporal plasticity. At early time-points, histology was predominantly "cholangiocellular", which then progressed to mainly "hepatocellular". The "hepatocellular" component was enriched in mesenchymal genes and gave rise to lung metastasis. Metastatic cells were enriched in the TGFB and VEGF pathways and their inhibition significantly reduced the metastatic burden. ConclusionsOur novel mouse model uncovered NOTCH1 as a driver of temporal plasticity and metastasis in HCC, the latter of which is, in part, mediated by angiogenesis and TGF{beta} pathways. Impact and ImplicationsThis study develops a novel murine model of NOTCH1-driven liver cancer, an understudied oncogene in HCC. Using this model, we show that NOTCH1 drives plasticity in HCC and metastasis to the lungs that can be therapeutically targeted through inhibition of VEGF and TGF{beta} pathways. HighlightsO_LINOTCH1 activation in combination with MYC overexpression drives combined HCC-CCA. C_LIO_LINOTCH1 activation in hepatocytes drives temporal plasticity. C_LIO_LINOTCH1 activation drives metastasis of HCC cells to the lungs, but not of CCA cells. C_LIO_LIAngiogenesis and TGF{beta} pathways mediate NOTCH1-induced lung metastasis. C_LI Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=93 SRC="FIGDIR/small/619856v2_ufig1.gif" ALT="Figure 1"> View larger version (39K): org.highwire.dtl.DTLVardef@143c866org.highwire.dtl.DTLVardef@119ddb6org.highwire.dtl.DTLVardef@12ad951org.highwire.dtl.DTLVardef@2160b8_HPS_FORMAT_FIGEXP M_FIG C_FIG

cancer biology↗

bioRxiv2024

Myeloid progenitor dysregulation fuels immunosuppressive macrophages in tumors

ABSTRACTMonocyte-derived macrophages (mo-macs) drive immunosuppression in the tumor microenvironment (TME) and tumor-enhanced myelopoiesis in the bone marrow (BM) fuels these populations. Here, we performed paired transcriptome and chromatin analysis over the continuum of BM myeloid progenitors, circulating monocytes, and tumor-infiltrating mo-macs in mice and in patients with lung cancer to identify myeloid progenitor programs that fuel pro-tumorigenic mo-macs. Analyzing chromatin accessibility and histone mark changes, we show that lung tumors prime accessibility for Nfe2l2 (NRF2) in BM myeloid progenitors as a cytoprotective response to oxidative stress. NRF2 activity is sustained and increased during monocyte differentiation into mo-macs in the lung TME to regulate oxidative stress, in turn promoting metabolic adaptation, resistance to cell death, and contributing to immunosuppressive phenotype. NRF2 genetic deletion and pharmacological inhibition significantly reduced mo-macs survival and immunosuppression in the TME, enabling NK and T cell therapeutic antitumor immunity and synergizing with checkpoint blockade strategies. Altogether, our study identifies a targetable epigenetic node of myeloid progenitor dysregulation that sustains immunoregulatory mo-macs in the TME.

immunology↗

bioRxiv2023

A deep lung cell atlas reveals cytokine-mediated lineage switching of a rare cell progenitor of the human airway epithelium

The human airway contains specialized rare epithelial cells whose roles in respiratory disease are not well understood. Ionocytes express the Cystic Fibrosis Transmembrane Conductance Regulator (CFTR), while chemosensory tuft cells express asthma-associated alarmins. However, surprisingly, exceedingly few mature tuft cells have been identified in human lung cell atlases despite the ready identification of rare ionocytes and neuroendocrine cells. To identify human rare cell progenitors and define their lineage relationship to mature tuft cells, we generated a deep lung cell atlas containing 311,748 single cell RNA-Seq (scRNA-seq) profiles from discrete anatomic sites along the large and small airways and lung lobes of explanted donor lungs that could not be used for organ transplantation. Of 154,222 airway epithelial cells, we identified 687 ionocytes (0.45%) that are present in similar proportions in both large and small airways, suggesting that they may contribute to both large and small airways pathologies in CF. In stark contrast, we recovered only 3 mature tuft cells (0.002%). Instead, we identified rare bipotent progenitor cells that can give rise to both ionocytes and tuft cells, which we termed tuft-ionocyte progenitor cells (TIP cells). Remarkably, the cycling fraction of these TIP cells was comparable to that of basal stem cells. We used scRNA-seq and scATAC-seq to predict transcription factors that mark this novel rare cell progenitor population and define intermediate states during TIP cell lineage transitions en route to the differentiation of mature ionocytes and tuft cells. The default lineage of TIP cell descendants is skewed towards ionocytes, explaining the paucity of mature tuft cells in the human airway. However, Type 2 and Type 17 cytokines, associated with asthma and CF, diverted the lineage of TIP cell descendants in vitro, resulting in the differentiation of mature tuft cells at the expense of ionocytes. Consistent with this model of mature tuft cell differentiation, we identify mature tuft cells in a patient who died from an asthma flare. Overall, our findings suggest that the immune signaling pathways active in asthma and CF may skew the composition of disease-relevant rare cells and illustrate how deep atlases are required for identifying physiologically-relevant scarce cell populations.

cell biology↗

bioRxiv2023

A cellular and spatial atlas of TP53-associated tissue remodeling in lung adenocarcinoma

TP53 is the most frequently mutated gene across many cancers and is associated with shorter survival in lung adenocarcinoma (LUAD). To define how TP53 mutations affect the LUAD tumor microenvironment (TME), we constructed a multi-omic cellular and spatial tumor atlas of 23 treatment-naive human lung tumors. We found that TP53-mutant (TP53mut) malignant cells lose alveolar identity and upregulate highly proliferative and entropic gene expression programs consistently across resectable LUAD patient tumors, genetically engineered mouse models, and cell lines harboring a wide spectrum of TP53 mutations. We further identified a multicellular tumor niche composed of SPP1+ macrophages and collagen-expressing fibroblasts that coincides with hypoxic, pro-metastatic expression programs in TP53mut tumors. Spatially correlated angiostatic and immune checkpoint interactions, including CD274-PDCD1 and PVR-TIGIT, are also enriched in TP53mut LUAD tumors, which may influence response to checkpoint blockade therapy. Our methodology can be further applied to investigate mutation-specific TME changes in other cancers.

cancer biology↗

bioRxiv2022

The novel compensatory reciprocal interplay between neutrophils and monocytes drives cancer progression

Myeloid cells comprise the majority of immune cells in tumors, contributing to tumor growth and therapeutic resistance. Incomplete understanding of myeloid cells response to tumor driver mutation and therapeutic intervention impedes effective therapeutic design. Here, by leveraging CRISPR/Cas9-based genomic editing, we generated a mouse model that is deficient of all monocyte chemoattractant proteins (MCP). Using this strain, we effectively abolished monocyte infiltration in glioblastoma (GBM) and hepatocellular carcinoma (HCC) murine models, which were enriched for monocytes or neutrophils, respectively. Remarkably, eliminating monocyte chemoattraction invokes a significant compensatory neutrophil influx in GBM, but not in HCC. Single-cell RNA sequencing revealed that intratumoral neutrophils promoted proneural-to-mesenchymal transition in GBM, and supported tumor aggression by facilitating hypoxia response via TNF production. Importantly, genetic or pharmacological inhibiting neutrophil in HCC or qMCP-KO GBM extended the survival of tumor-bearing mice. Our findings emphasize the importance of targeting both monocytes and neutrophils simultaneously for cancer immunotherapy. In BriefEliminating monocyte chemoattraction invokes compensatory neutrophil influx in tumor, and vice versa, rendering current myeloid-targeted therapies ineffective. Using genetic and pharmacological approaches combined with novel mouse models of GBM and HCC, we provide credence advocating for combinational therapies aiming at inhibiting both monocytes and neutrophils simultaneously. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=153 SRC="FIGDIR/small/500690v1_ufig1.gif" ALT="Figure 1"> View larger version (45K): org.highwire.dtl.DTLVardef@bbbae5org.highwire.dtl.DTLVardef@eb3eecorg.highwire.dtl.DTLVardef@702696org.highwire.dtl.DTLVardef@f54734_HPS_FORMAT_FIGEXP M_FIG C_FIG Highlights* Blocking monocyte chemoattraction results in increased neutrophil infiltration. * Increased neutrophil recruitment induces GBM PN to MES transition. * Inhibiting neutrophil infiltration in monocyte-deficient tumors improves mouse GBM survival. * Blocking neutrophil, but not monocyte, infiltration in HCC prolongs mouse survival.

immunology↗

bioRxiv2022

A paracrine circuit of IL-1b/IL-1R1 between myeloid and tumor cells drives glioblastoma progression

Monocytes and monocyte-derived macrophages (MDM) from blood circulation infiltrate and promote glioblastoma growth. Here we discover that glioma cells induce the expression of potent pro-inflammatory cytokine IL-1{beta} in MDM, which engages IL-1R1 in glioma cells, activates NF-{kappa}B pathway, and subsequently leads to the induction of monocyte chemoattractant proteins (MCPs). Thus, a feedforward paracrine circuit of IL-1{beta}/IL-1R1 between the tumors and MDM creates an interdependence driving glioblastoma progression. Locally antagonizing IL-1{beta}/IL-1R1 leads to reduced MDM infiltration, diminished tumor growth, reduced exhausted CD8+ T cells, and thereby extends the survival of tumor-bearing mice. In contrast to IL-1{beta}, IL-1a exhibits anti-tumor effects. Genetic deletion of Il1a is associated with decreased recruitment of lymphoid cells and loss of interferon (IFN) signaling in various immune populations and subsets of malignant cells. IL-1{beta} antagonism of IL-1{beta} should be considered as an effective anti-glioblastoma therapy. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=196 HEIGHT=200 SRC="FIGDIR/small/486888v1_ufig1.gif" ALT="Figure 1"> View larger version (66K): org.highwire.dtl.DTLVardef@1c99e57org.highwire.dtl.DTLVardef@1ba9d24org.highwire.dtl.DTLVardef@a2c418org.highwire.dtl.DTLVardef@1f8091c_HPS_FORMAT_FIGEXP M_FIG C_FIG

cancer biology↗

bioRxiv2019

A single-cell and single-nucleus RNA-seq toolbox for fresh and frozen human tumors

Single cell genomics is essential to chart the complex tumor ecosystem. While single cell RNA-Seq (scRNA-Seq) profiles RNA from cells dissociated from fresh tumor tissues, single nucleus RNA-Seq (snRNA-Seq) is needed to profile frozen or hard-to-dissociate tumors. Each strategy requires modifications to fit the unique characteristics of different tissue and tumor types, posing a barrier to adoption. Here, we developed a systematic toolbox for profiling fresh and frozen clinical tumor samples using scRNA-Seq and snRNA-Seq, respectively. We tested eight tumor types of varying tissue and sample characteristics (resection, biopsy, ascites, and orthotopic patient-derived xenograft): lung cancer, metastatic breast cancer, ovarian cancer, melanoma, neuroblastoma, pediatric sarcoma, glioblastoma, pediatric high-grade glioma, and chronic lymphocytic leukemia. Analyzing 212,498 cells and nuclei from 39 clinical samples, we evaluated protocols by cell quality, recovery rate, and cellular composition. We optimized protocols for fresh tissue dissociation for different tumor types using a decision tree to account for the technical and biological variation between clinical samples. We established methods for nucleus isolation from OCT embedded and fresh-frozen tissues, with an optimization matrix varying mechanical force, buffer, and detergent. scRNA-Seq and snRNA-Seq from matched samples recovered the same cell types and intrinsic expression profiles, but at different proportions. Our work provides direct guidance across a broad range of tumors, including criteria for testing and selecting methods from the toolbox for other tumors, thus paving the way for charting tumor atlases.

genomics↗