Dina Levi
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View article: Navigating the Pandemic with GIS: An Exploratory Factor Analysis of Israel’s Municipal Response
Navigating the Pandemic with GIS: An Exploratory Factor Analysis of Israel’s Municipal Response Open
This study examined the role of Geographic Information Systems (GIS) in municipal responses to the COVID-19 pandemic in Israel. A structured survey of officials from 130 municipalities was conducted, with a focus on the 87 municipalities t…
View article: Supplementary Figures 1-22 from Spatial Architecture of Myeloid and T Cells Orchestrates Immune Evasion and Clinical Outcome in Lung Cancer
Supplementary Figures 1-22 from Spatial Architecture of Myeloid and T Cells Orchestrates Immune Evasion and Clinical Outcome in Lung Cancer Open
Supplementary Figures 1-22 with the corresponding figure legends inline. Supplementary Figure S1. TRACERx 100 imaging mass cytometry cohort. Supplementary Figure S2. Analysis of imaging mass cytometry data. Supplementary Figure S3. Charact…
View article: Supplementary Tables 1-5 from Spatial Architecture of Myeloid and T Cells Orchestrates Immune Evasion and Clinical Outcome in Lung Cancer
Supplementary Tables 1-5 from Spatial Architecture of Myeloid and T Cells Orchestrates Immune Evasion and Clinical Outcome in Lung Cancer Open
Supplementary Table S1. Imaging mass cytometry antibody panel information. Supplementary Table S2. TRACERx 100 imaging mass cytometry cohort information. Supplementary Table S3. TRACERx 421 cohort information. Supplementary Table S4. Media…
View article: Figure 1 from Spatial Architecture of Myeloid and T Cells Orchestrates Immune Evasion and Clinical Outcome in Lung Cancer
Figure 1 from Spatial Architecture of Myeloid and T Cells Orchestrates Immune Evasion and Clinical Outcome in Lung Cancer Open
IMC workflow defines the single-cell spatial landscape of the NSCLC tumor microenvironment. A, TRACERx 100 IMC cohort. We developed and applied two IMC antibody panels, Pan-immune and T cells and stroma, to tissue microarrays (TMA) from cl…
View article: Figure 3 from Spatial Architecture of Myeloid and T Cells Orchestrates Immune Evasion and Clinical Outcome in Lung Cancer
Figure 3 from Spatial Architecture of Myeloid and T Cells Orchestrates Immune Evasion and Clinical Outcome in Lung Cancer Open
Spatial features associated with neoantigen burden and immune low TMEs. A, Correlation of densities of spatial cellular communities and the burden of expressed clonal, subclonal and total neoantigens predicted to bind intact HLA alleles, a…
View article: TRACERx Consortium Members from Spatial Architecture of Myeloid and T Cells Orchestrates Immune Evasion and Clinical Outcome in Lung Cancer
TRACERx Consortium Members from Spatial Architecture of Myeloid and T Cells Orchestrates Immune Evasion and Clinical Outcome in Lung Cancer Open
All consortium members and their affiliations.
View article: Supplementary Figures 1-22 from Spatial Architecture of Myeloid and T Cells Orchestrates Immune Evasion and Clinical Outcome in Lung Cancer
Supplementary Figures 1-22 from Spatial Architecture of Myeloid and T Cells Orchestrates Immune Evasion and Clinical Outcome in Lung Cancer Open
Supplementary Figures 1-22 with the corresponding figure legends inline. Supplementary Figure S1. TRACERx 100 imaging mass cytometry cohort. Supplementary Figure S2. Analysis of imaging mass cytometry data. Supplementary Figure S3. Charact…
View article: Figure 2 from Spatial Architecture of Myeloid and T Cells Orchestrates Immune Evasion and Clinical Outcome in Lung Cancer
Figure 2 from Spatial Architecture of Myeloid and T Cells Orchestrates Immune Evasion and Clinical Outcome in Lung Cancer Open
Four TME classes in NSCLC defined by immune composition in tumor nests and surrounding stroma. A, Tumor cores were classified into four TME classes, derived by clustering immune cell densities in the tumor nest and stroma. Only LUAD (n = 6…
View article: Figure 1 from Spatial Architecture of Myeloid and T Cells Orchestrates Immune Evasion and Clinical Outcome in Lung Cancer
Figure 1 from Spatial Architecture of Myeloid and T Cells Orchestrates Immune Evasion and Clinical Outcome in Lung Cancer Open
IMC workflow defines the single-cell spatial landscape of the NSCLC tumor microenvironment. A, TRACERx 100 IMC cohort. We developed and applied two IMC antibody panels, Pan-immune and T cells and stroma, to tissue microarrays (TMA) from cl…
View article: Figure 5 from Spatial Architecture of Myeloid and T Cells Orchestrates Immune Evasion and Clinical Outcome in Lung Cancer
Figure 5 from Spatial Architecture of Myeloid and T Cells Orchestrates Immune Evasion and Clinical Outcome in Lung Cancer Open
Neutrophil-rich TMEs are associated with activating mutations in PI3K and tumor-intrinsic CXCL8 upregulation. A, Representative crops of tumor-level H&E; images with low TAN scores in the tumor nest and stroma (left) and high TAN scores in…
View article: Figure 2 from Spatial Architecture of Myeloid and T Cells Orchestrates Immune Evasion and Clinical Outcome in Lung Cancer
Figure 2 from Spatial Architecture of Myeloid and T Cells Orchestrates Immune Evasion and Clinical Outcome in Lung Cancer Open
Four TME classes in NSCLC defined by immune composition in tumor nests and surrounding stroma. A, Tumor cores were classified into four TME classes, derived by clustering immune cell densities in the tumor nest and stroma. Only LUAD (n = 6…
View article: Data from Spatial Architecture of Myeloid and T Cells Orchestrates Immune Evasion and Clinical Outcome in Lung Cancer
Data from Spatial Architecture of Myeloid and T Cells Orchestrates Immune Evasion and Clinical Outcome in Lung Cancer Open
Understanding the role of the tumor microenvironment (TME) in lung cancer is critical to improving patient outcomes. We identified four histology-independent archetype TMEs in treatment-naïve early-stage lung cancer using imaging mass cyto…
View article: Figure 3 from Spatial Architecture of Myeloid and T Cells Orchestrates Immune Evasion and Clinical Outcome in Lung Cancer
Figure 3 from Spatial Architecture of Myeloid and T Cells Orchestrates Immune Evasion and Clinical Outcome in Lung Cancer Open
Spatial features associated with neoantigen burden and immune low TMEs. A, Correlation of densities of spatial cellular communities and the burden of expressed clonal, subclonal and total neoantigens predicted to bind intact HLA alleles, a…
View article: Figure 4 from Spatial Architecture of Myeloid and T Cells Orchestrates Immune Evasion and Clinical Outcome in Lung Cancer
Figure 4 from Spatial Architecture of Myeloid and T Cells Orchestrates Immune Evasion and Clinical Outcome in Lung Cancer Open
Neutrophil infiltration in LUSC is associated with distinct metabolic and immunosuppressive phenotypes. A, Gene Ontology (GO) biological processes enriched among upregulated genes in the TS:Neutrophil high TME class (n = 10 cores) compared…
View article: TRACERx Consortium Members from Spatial Architecture of Myeloid and T Cells Orchestrates Immune Evasion and Clinical Outcome in Lung Cancer
TRACERx Consortium Members from Spatial Architecture of Myeloid and T Cells Orchestrates Immune Evasion and Clinical Outcome in Lung Cancer Open
All consortium members and their affiliations.
View article: Figure 6 from Spatial Architecture of Myeloid and T Cells Orchestrates Immune Evasion and Clinical Outcome in Lung Cancer
Figure 6 from Spatial Architecture of Myeloid and T Cells Orchestrates Immune Evasion and Clinical Outcome in Lung Cancer Open
Neutrophil infiltration is associated with recent subclonal expansion and poorer disease-free survival. A, Comparison of neutrophil cell density in primary tumors with metastasis-seeding clones detectable at time of surgery or during follo…
View article: Data from Spatial Architecture of Myeloid and T Cells Orchestrates Immune Evasion and Clinical Outcome in Lung Cancer
Data from Spatial Architecture of Myeloid and T Cells Orchestrates Immune Evasion and Clinical Outcome in Lung Cancer Open
Understanding the role of the tumor microenvironment (TME) in lung cancer is critical to improving patient outcomes. We identified four histology-independent archetype TMEs in treatment-naïve early-stage lung cancer using imaging mass cyto…
View article: Supplementary Tables 1-5 from Spatial Architecture of Myeloid and T Cells Orchestrates Immune Evasion and Clinical Outcome in Lung Cancer
Supplementary Tables 1-5 from Spatial Architecture of Myeloid and T Cells Orchestrates Immune Evasion and Clinical Outcome in Lung Cancer Open
Supplementary Table S1. Imaging mass cytometry antibody panel information. Supplementary Table S2. TRACERx 100 imaging mass cytometry cohort information. Supplementary Table S3. TRACERx 421 cohort information. Supplementary Table S4. Media…
View article: Figure 6 from Spatial Architecture of Myeloid and T Cells Orchestrates Immune Evasion and Clinical Outcome in Lung Cancer
Figure 6 from Spatial Architecture of Myeloid and T Cells Orchestrates Immune Evasion and Clinical Outcome in Lung Cancer Open
Neutrophil infiltration is associated with recent subclonal expansion and poorer disease-free survival. A, Comparison of neutrophil cell density in primary tumors with metastasis-seeding clones detectable at time of surgery or during follo…
View article: Figure 4 from Spatial Architecture of Myeloid and T Cells Orchestrates Immune Evasion and Clinical Outcome in Lung Cancer
Figure 4 from Spatial Architecture of Myeloid and T Cells Orchestrates Immune Evasion and Clinical Outcome in Lung Cancer Open
Neutrophil infiltration in LUSC is associated with distinct metabolic and immunosuppressive phenotypes. A, Gene Ontology (GO) biological processes enriched among upregulated genes in the TS:Neutrophil high TME class (n = 10 cores) compared…
View article: Figure 5 from Spatial Architecture of Myeloid and T Cells Orchestrates Immune Evasion and Clinical Outcome in Lung Cancer
Figure 5 from Spatial Architecture of Myeloid and T Cells Orchestrates Immune Evasion and Clinical Outcome in Lung Cancer Open
Neutrophil-rich TMEs are associated with activating mutations in PI3K and tumor-intrinsic CXCL8 upregulation. A, Representative crops of tumor-level H&E; images with low TAN scores in the tumor nest and stroma (left) and high TAN scores in…
View article: Spatial Architecture of Myeloid and T Cells Orchestrates Immune Evasion and Clinical Outcome in Lung Cancer
Spatial Architecture of Myeloid and T Cells Orchestrates Immune Evasion and Clinical Outcome in Lung Cancer Open
Understanding the role of the tumor microenvironment (TME) in lung cancer is critical to improving patient outcomes. We identified four histology-independent archetype TMEs in treatment-naïve early-stage lung cancer using imaging mass cyto…
View article: TRACERx PHLEX test dataset, model weights & TRACERx nuclear IMC segmentation dataset
TRACERx PHLEX test dataset, model weights & TRACERx nuclear IMC segmentation dataset Open
This repository contains three archives pertaining to the TRACERx PHLEX multiplexed imaging pipelines. Weights for the deep-imcyto neural network models The PHLEX test dataset consisting of two .ome.tiff files of imaging mass cytometry dat…
View article: TRACERx PHLEX test dataset, model weights & TRACERx nuclear IMC segmentation dataset
TRACERx PHLEX test dataset, model weights & TRACERx nuclear IMC segmentation dataset Open
This repository contains three archives pertaining to the TRACERx PHLEX multiplexed imaging pipelines. Weights for the deep-imcyto neural network models The PHLEX test dataset consisting of two .ome.tiff files of imaging mass cytometry dat…
View article: TRACERx PHLEX test dataset, model weights & TRACERx nuclear IMC segmentation dataset
TRACERx PHLEX test dataset, model weights & TRACERx nuclear IMC segmentation dataset Open
This repository contains three archives pertaining to the TRACERx PHLEX multiplexed imaging pipelines. Weights for the deep-imcyto neural network models The PHLEX test dataset consisting of two .ome.tiff files of imaging mass cytometry dat…
View article: TRACERx PHLEX test dataset, model weights & TRACERx nuclear IMC segmentation dataset
TRACERx PHLEX test dataset, model weights & TRACERx nuclear IMC segmentation dataset Open
This repository contains three archives pertaining to the TRACERx PHLEX multiplexed imaging pipelines. Weights for the deep-imcyto neural network models The PHLEX test dataset consisting of two .ome.tiff files of imaging mass cytometry dat…
View article: Dichotomy of neutralizing antibody, B cell and T cell responses to SARS-CoV-2 vaccination and protection in healthy adults
Dichotomy of neutralizing antibody, B cell and T cell responses to SARS-CoV-2 vaccination and protection in healthy adults Open
Heterogeneity in SARS-CoV-2 vaccine responses is not understood. Here, we identify four patterns of live-virus neutralizing antibody responses: individuals with hybrid immunity (with confirmed prior infection); rare individuals with low re…
View article: Supplementary tables and figures from Tumor-Infiltrating B Lymphocyte Profiling Identifies IgG-Biased, Clonally Expanded Prognostic Phenotypes in Triple-Negative Breast Cancer
Supplementary tables and figures from Tumor-Infiltrating B Lymphocyte Profiling Identifies IgG-Biased, Clonally Expanded Prognostic Phenotypes in Triple-Negative Breast Cancer Open
Supplementary tables and figures