Biology subjects

Kim, E. N.

Publications and source records attributed to Kim, E. N..

10 recordsLinked to original sources

bioRxiv2026

Spatially resolved transcriptomic and proteomic profiling reveals cell interaction programs that predict Barrett's esophagus progression

Barretts esophagus (BE) is the precursor lesion of esophageal adenocarcinoma (EAC). It affects approximately 5% of adults in the United States and significantly increases the risk of developing EAC. However, current surveillance strategies cannot reliably distinguish patients who will progress from those who will remain stable. Direct studies of progressor BE are extremely limited due to availability of tissue with known progression outcomes, and have largely been restricted to genomic profiling approaches. The premalignant cellular landscape of progressor BE remains poorly understood. Here, we used complementary spatial transcriptomic and proteomic imaging to profile 34 non-dysplastic BE patients under endoscopic surveillance, including those who subsequently progressed to dysplasia or EAC, termed "Progressors" and those who remained stable, termed "Non-progressors". Transcriptomics based Xenium analysis captured 974,604 cells across 70 whole-biopsy regions, while protein based imaging mass cytometry profiled 372,242 cells across 119 selected regions. FUME-TCRseq further quantified T cell clonotypes from matched tissues scrolls. Cellular composition was generally similar between Progressors and Non-progressors. However, Progressors showed increased intestinal Barretts columnar cells, B cells and gastric progenitor-like cells, together with enhanced immune-epithelial interactions, whereas Non-progressors retained coordinated stromal organization. Spatial interaction features strongly outperformed cell composition and density for progression prediction. Combined spatial interaction model achieved an area under the curve (AUC) of 0.97, compared with 0.62 and 0.68 for comparison and density alone. Complementary imaging mass cytometry further resolved the underlying immune programs, identifying cytotoxic and antigen presenting myeloid features enriched in progressors, and CD56 associated memory T cell interactions enriched in non progressors. Together, these findings support a model that BE progression is driven by progressive remodeling of epithelial-immune-stromal architecture rather than emergence of distinct dysplasia-like cell subsets. Increased T cell clonal diversity and recruitment of cytotoxic and antigen-presenting immune niches may also reflect an evolving response to genomic alteration prior to dysplasia. These results establish spatial tissue architecture, rather than specific cell types, captures progression associated microenvironmental states in BE and provides a framework for spatially informed patient stratification and early cancer risk assessment.

systems biology↗

bioRxiv2026

A macrophage-derived noncanonical WNT niche drives immune exclusion in pancreatic cancer

Background and AimsPancreatic ductal adenocarcinoma (PDAC) is characterized by profound immune exclusion and resistance to immunotherapy. Although WNT signaling has been implicated in PDAC, its cellular source within the tumor microenvironment and its contribution to immune suppression remain poorly defined. This study investigated whether myeloid-derived WNT signaling promotes PDAC progression. MethodsTranscriptomic data from human PDAC cohorts, including The Cancer Genome Atlas (TCGA), and published single-cell RNA sequencing datasets were analyzed. Macrophage-associated WNT5A expression in human PDAC biopsies was assessed using in situ hybridization and immunofluorescence. Macrophage-derived WNT secretion was genetically disrupted using macrophage-specific Porcn knockout mice in orthotopic and subcutaneous KPC tumor models. Lineage-resolved spatial organization of macrophage subsets was characterized using Ms4a3 fate-mapping double-reporter mice with immunofluorescence and imaging mass cytometry. Macrophages-CD8 T cells interactions were assessed using tumor-educated macrophage conditioned media, pharmacologic ARG1 inhibition, and in vivo CD8 T cell depletion. ResultsPDAC tumors with high macrophage signatures showed enrichment of noncanonical WNT signaling, and macrophage-associated WNT5A was detected in human biopsies. Disruption of macrophage-derived WNT secretion suppressed tumor growth, reversed immune exclusion, and enhanced cytotoxic CD8 T cell infiltration. Spatial lineage-resolved analysis demonstrated progressive accumulation of Hexb tissue-resident macrophages that dominated advanced lesions and formed a WNT-rich niche closely associated with Trem2Arg1 monocyte-derived macrophages. Mechanistically, macrophage-derived noncanonical WNT activated a JNK/c-Jun-ARG1 axis that inhibited CD8 T cell proliferation, an effect abolished by myeloid WNT loss. ConclusionsMyeloid-derived noncanonical WNT establishes a lineage-structured macrophage niche that enforces immune exclusion in PDAC. Targeting macrophage-restricted WNT signaling represents a promising strategy to reprogram the PDAC immune microenvironment.

cancer biology↗

bioRxiv2026

Graft-Induced Reprogramming Under Arterial Hemodynamic Stress is Associated with a Shared Proteomic Phenotype in Arterial and Venous Conduits Following Coronary Artery Bypass Grafting

BackgroundAutologous venous conduits remain the mainstay of coronary artery bypass grafting (CABG); however, their long-term patency is limited by adverse vascular remodeling. While arterial and venous grafts undergo structural and molecular adaptation to arterial hemodynamics, the mechanisms underlying successful adaptation remain poorly characterized owing to the scarcity of functioning human graft tissues. MethodsWe analyzed bypass grafts explanted en bloc during orthotopic heart transplantation, comprising patent vein grafts (VGP, n=19), occluded vein grafts (VGO, n=9), and patent arterial grafts (AGP, n=13), alongside freshly harvested controls (vein, n=23; artery, n=11). Quantitative histomorphometry, label-free LC-MS/MS proteomics, pathway analysis, and immunohistochemistry were performed. ResultsWhile patent arterial and venous grafts exhibited medial elastin reinforcement, adventitial neovascularization, and organized intimal remodeling, occluded vein grafts demonstrated elastic layer disruption, medial degeneration, and collagen-dense fibrosis. Proteomic analysis revealed a convergent adaptive signature in patent grafts enriched for RNA metabolism, protein synthesis, cytoskeletal dynamics, and extracellular matrix organization, with shared activation of NR4A3, STAT1, and EGFR signaling. Vein-specific adaptation involved SRC-PTGES activation with concomitant STAT3 suppression, whereas arterial grafts engaged IGF1-RUNX2-associated proliferative programs. Failed venous grafts exhibited angiotensin-driven fibroinflammatory remodeling. Endothelial nitric oxide synthase expression was markedly upregulated in the luminal endothelium and adventitial neovessels of patent grafts. ConclusionsDespite distinct vascular origins, arterial and venous grafts converged toward a shared adaptive phenotype characterized by structural maturation and vasoprotective signaling. Targeting common adaptive pathways--including NR4A3, STAT1, EGFR, and adventitial eNOS--may offer therapeutic strategies to enhance long-term graft durability. WHAT ARE THE CLINICAL IMPLICATIONS?This study provides human tissue-based evidence that patent coronary bypass grafts share a common adaptive remodeling program, irrespective of whether the conduit is arterial or venous. Rather than simple venous "arterialization," successful grafts converged on a phenotype characterized by coordinated biosynthetic activity, structural maturation, and vasoprotective signaling, whereas occluded vein grafts exhibited a distinct angiotensin-driven fibroinflammatory remodeling program. Importantly, patent grafts demonstrated conserved upregulation of NR4A3, STAT1, EGFR, and endothelial nitric oxide synthase (eNOS) in both luminal and adventitial endothelial compartments, identifying molecular features that distinguish adaptive from maladaptive remodeling in humans. These findings are clinically relevant because they highlight shared, potentially targetable pathways that may support graft durability across conduit types and provide mechanistic support for surgical strategies that preserve perivascular adipose tissue during vein harvesting. Moreover, the association of graft failure with angiotensin-centered extracellular matrix remodeling suggests a modifiable biological axis that warrants further investigation. Together, this work establishes a human molecular framework for graft adaptation that may inform future biomarker development, therapeutic targeting, and precision strategies aimed at improving outcomes after coronary artery bypass grafting.

pathology↗

bioRxiv2024

Unraveling the Complexity of Abdominal Aortic Aneurysm: Multiplexed Imaging Insights into C-Reactive Protein-Related Variations

BackgroundAbdominal aortic aneurysm (AAA) is a potentially lethal condition that often remains asymptomatic until it ruptures. Recent research suggests that immune-inflammatory processes are associated with AAA development, yet the exact mechanisms remain unclear. Serum C-reactive protein (CRP) serves as a prognostic marker for AAA and various cardiovascular diseases. When CRP accumulates in damaged tissues, it transforms into a monomeric form, exacerbating tissue damage. Our previous study confirmed the presence of CRP deposition in eroded AAA and atherosclerosis regions, accompanied by an increased infiltration of inflammatory cells. However, a comprehensive understanding of the specific changes in the inflammatory cellular landscape attributable to CRP deposition is lacking. Here, we aimed to explore cellular-level alterations in AAAs associated with varying CRP levels. MethodsWe categorized AAA patients into High-CRP ([≥]0.1 mg/dL, and [≥]3+ CRP IHC score, n=6) and Low-CRP ([≤]0.1 mg/dL, and [≤]1+ CRP IHC score, n=3), and used normal aorta specimens as a baseline control. The cellular landscape of immune and stromal components was characterized using Co-Detection by Indexing (CODEX) tissue imaging with 31 DNA-barcoded antibodies, followed by single-cell-based analysis and GPU-accelerated unsupervised clustering. ResultsWe identified 51 distinct immune and stromal cell types in the cohort and revealed significant differences in protein expression patterns among the groups. In AAA, stromal cells decreased significantly, while immune cell proportions sharply increased. Lag3+ T cell regulators decreased, leading to an increase in CD3+ T cells. The composition of immune cells within atherosclerotic plaques was associated with the degree of CRP deposition in AAA. The High-CRP group showed increased M1 and Ki67+ proliferating macrophages, while the Low-CRP group exhibited intensified fibrosis with M2 macrophages. ConclusionsOur study found significant variations in immune cell distribution within AAA walls based on CRP levels. These findings suggest a potential link between CRP-related immune changes and AAA progression. HIGHLIGHTSO_LIBy performing CODEX (co-detection by indexing) multiplexed imaging on paraffin-embedded, formalin-fixed archived abdominal aortic aneurysm (AAA) tissue samples with varying CRP levels, we segmented 415,365 cells into 51 distinct clusters. C_LIO_LIIn AAA, the presence of CRP deposition led to variations in the spatial relationships, distances, and enrichment patterns among immune and stromal cells.. C_LIO_LIIn AAA-High CRP, there was an intensified infiltration of M1 macrophages and various immune cells observed in the atherosclerotic plaque. C_LIO_LIIn AAA-Low CRP, severe stromal fibrosis was associated with M2 macrophages. C_LIO_LIOur results suggest that the deposition of CRP into the atherosclerotic plaque alters the immune-stromal landscape in AAA. C_LI

pathology↗

bioRxiv2023

Mechanisms of regulation of cryptic prophage-encoded gene products in Escherichia coli

The dicBF operon of Qin cryptic prophage in Escherichia coli K12 encodes the small RNA (sRNA) DicF and small protein DicB, which regulate host cell division and are toxic when overexpressed. While new functions of DicB and DicF have been identified in recent years, the mechanisms controlling the expression of the dicBF operon have remained unclear. Under standard laboratory growth conditions, transcription from dicBp, the major promoter of the dicBF operon, is repressed by DicA. Here, we discovered that transcription of the dicBF operon and processing of the polycistronic mRNA is regulated by multiple mechanisms. DicF sRNA accumulates during stationary phase and is processed from the polycistronic dicBF mRNA by the action of both RNase III and RNase E. DicA-mediated transcriptional repression of dicBp can be relieved by an antirepressor protein, Rem, encoded on the Qin prophage. Ectopic production of Rem results in cell filamentation due to strong induction of the dicBF operon and filamentation is mediated by DicF and DicB. Spontaneous derepression of dicBp occurs in a subpopulation of cells independent of the antirepressor. This phenomenon is reminiscent of the bistable switch of {lambda} phage with DicA and DicC performing functions similar to CI and Cro, respectively. Additional experiments demonstrate stress-dependent induction of the dicBF operon. Collectively, our results illustrate that toxic genes encoded on cryptic prophages are subject to layered mechanisms of control, some that are derived from the ancestral phage and some that are likely later adaptations. ImportanceCryptic or defective prophages have lost genes necessary to excise from the bacterial chromosome and produce phage progeny. In recent years, studies have found that cryptic prophage gene products influence diverse aspects of bacterial host cell physiology. However, to obtain a complete understanding of the relationship between cryptic prophages and the host bacterium, identification of the environmental, host or prophage-encoded factors that induce the expression of cryptic prophage genes is crucial. In this study, we examine the regulation of a cryptic prophage operon in Escherichia coli encoding a small RNA and a small protein that are involved in inhibiting bacterial cell division, altering host metabolism, and protecting the host bacterium from phage infections.

microbiology↗

bioRxiv2023

Dual-modality imaging of immunofluorescence and imaging mass cytometry for whole slide imaging with accurate single-cell segmentation

Imaging mass cytometry (IMC) is a powerful multiplexed tissue imaging technology that allows simultaneous detection of more than 30 makers on a single slide. It has been increasingly used for singlecell-based spatial phenotyping in a wide range of samples. However, it only acquires a small, rectangle field of view (FOV) with a low image resolution that hinders downstream analysis. Here, we reported a highly practical dual-modality imaging method that combines high-resolution immunofluorescence (IF) and high-dimensional IMC on the same tissue slide. Our computational pipeline uses the whole slide image (WSI) of IF as a spatial reference and integrates small FOVs IMC into a WSI of IMC. The high-resolution IF images enable accurate single-cell segmentation to extract robust high-dimensional IMC features for downstream analysis. We applied this method in esophageal adenocarcinoma of different stages, identified the single-cell pathology landscape via reconstruction of WSI IMC images, and demonstrated the advantage of the dual-modality imaging strategy. MotivationHighly multiplexed tissue imaging allows visualization of the spatially resolved expression of multiple proteins at the single-cell level. Although imaging mass cytometry (IMC) using metal isotope-conjugated antibodies has a significant advantage of low background signal and absence of autofluorescence or batch effect, it has a low resolution that hampers accurate cell segmentation and results in inaccurate feature extraction. In addition, IMC only acquires mm2-sized rectangle regions, which limits its application and efficiency when studying larger clinical samples with non-rectangle shapes. To maximize the research output of IMC, we developed the dual-modality imaging method based on a highly practical and technical improvement requiring no extra specialized equipment or agents and proposed a comprehensive computational pipeline that combines IF and IMC. The proposed method greatly improves the accuracy of cell segmentation and downstream analysis and is able to obtain whole slide image IMC to capture the comprehensive cellular landscape of large tissue sections.

bioinformatics↗

bioRxiv2022

3D multiplexed tissue imaging reconstruction and optimized region-of-interest (ROI) selection through deep learning model of channels embedding

Tissue-based sampling and diagnosis are defined as the extraction of information from certain limited spaces and its diagnostic significance of a certain object. Pathologists deal with issues related to tumor heterogeneity since analyzing a single sample does not necessarily capture a representative depiction of cancer, and a tissue biopsy usually only presents a small fraction of the tumor. Many multiplex tissue imaging platforms (MTIs) make the assumption that tissue microarrays (TMAs) containing small core samples of 2-dimensional (2D) tissue sections are a good approximation of bulk tumors although tumors are not 2D. However, emerging whole slide imaging (WSI) or 3D tumor atlases that employ MTIs like cyclic immunofluorescence (CyCIF) strongly challenge this assumption. In spite of the additional insight gathered by measuring the tumor microenvironment in WSI or 3D, it can be prohibitively expensive and time-consuming to process tens or hundreds of tissue sections with CyCIF. Even when resources are not limited, the criteria for region-of-interest (ROI) selection in tissues for downstream analysis remain largely qualitative and subjective as stratified sampling requires the knowledge of objects and evaluates their features. Despite the fact TMAs fail to adequately approximate whole tissue features, a theoretical subsampling of tissue exists that can best represent the tumor in the whole slide image. To address these challenges, we propose deep learning approaches to learn multi-modal image translation tasks from two aspects: 1) generative modeling approach to reconstruct 3D CyCIF representation and 2) co-embedding CyCIF image and Hematoxylin and Eosin (H&E) section to learn multi-modal mappings by a cross-domain translation for minimum representative ROI selection. We demonstrate that generative modeling enables a 3D virtual CyCIF reconstruction of a colorectal cancer specimen given a small subset of the imaging data at training time. By co-embedding histology and MTI features, we propose a simple convex optimization for objective ROI selection. We demonstrate the potential application of ROI selection and the efficiency of its performance with respect to cellular heterogeneity.

bioinformatics↗

bioRxiv2022

A Novel Mouse Model that Recapitulates the Heterogeneity of Human Triple Negative Breast Cancer

Triple-negative breast cancer (TNBC) patients have a poor prognosis and few treatment options. Mouse models of TNBC are important for development of new targeted therapies, but few TNBC mouse models exist. Here, we developed a novel TNBC murine model by mimicking two common TNBC mutations with high co-occurrence: amplification of the oncogene MYC and deletion of the tumor suppressor PTEN. This Myc;Ptenfl murine model develops TN mammary tumors that display histological and molecular features commonly found in human TNBC. We performed deep omic analyses on Myc;Ptenfl tumors including machine learning for morphologic features, bulk and single-cell RNA-sequencing, multiplex immunohistochemistry and single-cell phenotyping. Through comparison with human TNBC, we demonstrated that this new genetic mouse model develops mammary tumors with differential survival that closely resemble the inter- and intra-tumoral and microenvironmental heterogeneity of human TNBC; providing a unique pre-clinical tool for assessing the spectrum of patient TNBC biology and drug response. Statement of significanceThe development of cancer models that mimic triple-negative breast cancer (TNBC) microenvironment complexities is critical to develop effective drugs and enhance disease understanding. This study addresses a critical need in the field by identifying a murine model that faithfully mimics human TNBC heterogeneity and establishing a foundation for translating preclinical findings into effective human clinical trials.

cancer biology↗

bioRxiv2020

CRP immunodeposition and proteomic analysis in abdominal aortic aneurysm

ObjectiveThe molecular mechanisms of the degeneration of the aortic wall in abdominal aortic aneurysm (AAA) are poorly understood. The monomeric form of C-reactive protein (mCRP) is deposited in damaged cardiovascular organs and aggravates the prognosis; however, it is unknown whether mCRP is deposited in the degenerated aorta of abdominal aortic aneurysm (AAA). We investigated whether mCRP is deposited in AAA and examined the associated pathogenic signaling pathways. MethodsTwenty-four cases of AAA were analyzed and their histological features were compared according to the level of serum CRP and the degree of mCRP deposition. Proteomic analysis was performed in AAA cases with strong and diffuse CRP immunopositivity (n=7) and those with weak, focal, and junctional CRP immunopositivity (n=3). ResultsmCRP was deposited in the aortic specimens of AAA in a characteristic pattern that coincided with the lesion of the diminished elastic layer of the aortic wall. High serum CRP level was associated with stronger mCRP immunopositivity and a larger maximal diameter of aortic aneurysm. Proteomic analysis in AAA showed that multiple proteins were differentially expressed according to mCRP immunopositivity. Also, ingenuity pathway analysis showed that pathways associated with atherosclerosis, acute phase response, complement system, immune system, and coagulation were enriched in AAA cases with high mCRP immunopositivity. ConclusionsAAA showed a characteristic deposition of mCRP, and multiple potentially pathologic signaling pathways were upregulated in AAA cases with strong CRP immunopositivity. mCRP and the aforementioned pathological pathways may serve as targets for managing the progression of AAA.

pathology↗

bioRxiv2020

Role of ischemic preconditioning in cardioprotective mechanisms of mCRP deposited myocardium in a rat model

The deposition of monomeric C-reactive protein (mCRP) in the myocardium aggravates ischemia-reperfusion injury (IRI) and myocardial infarction. Ischemic preconditioning (IPC) is known to protect the myocardium against IRI. We evaluated the effects of IPC on mCRP-deposited myocardium due to IRI in a rat model. Myocardial IRI was produced by ligation of the coronary artery. Direct IPC was applied before IRI using multiple short direct occlusions of the coronary artery. CRP was infused intravenously after IRI. The study groups included the following: sham (n=3), IRI only (n=5), IRI+CRP (n=9), and IPC+IRI+CRP (n=6) groups. The infarct area and area at risk were assessed using Evans blue and 2,3,5-triphenyltetrazolium chloride (2,3,5-TTC) staining. Additionally, mCRP immunostaining and interleukin (IL)-6 mRNA reverse transcriptase-polymerase chain reaction (RT-PCR) were performed. In the IRI+CRP group, the infarcted area, mCRP deposition, and IL-6 mRNA expression were higher than those in the IRI only group. However, in the IPC+IRI+CRP group, the infarction (20% vs. 34% p=0.085) and mCRP myocardial deposition (21% vs. 44%, p=0.026) were lower and IL-6 mRNA expression was higher than those in the IRI+CRP group (fold change, 407 vs. 326, p=0.808), although this was not statistically significant. IPC has cardioprotective effects against myocardial damage caused by mCRP deposition. This protective effect is related to the increase in IL-6 mRNA expression.View Full Text

pathology↗