Movie S4 from Intermetastatic and Intrametastatic Heterogeneity Shapes Adaptive Therapy Cycling Dynamics

Movie S4 from Intermetastatic and Intrametastatic Heterogeneity Shapes Adaptive Therapy Cycling Dynamics

<p>Movies corresponding to simulation examples in Figure 6, comparing continuous and adaptive therapy for simulations with intermetastasis and intrametastasis heterogeneity.</p>

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書目詳細資料
主要作者:	Jill Gallaher (16799594) (author)
其他作者:	Maximilian Strobl (16799597) (author), Jeffrey West (16799600) (author), Robert Gatenby (14962842) (author), Jingsong Zhang (15037632) (author), Mark Robertson-Tessi (14936489) (author), Alexander R.A. Anderson (14936498) (author)
出版:	2025
主題:	Cancer Tumor Biology Molecular and Cellular Biology Cancer Detection and Diagnosis Therapeutic Research and Development Clinical Research and Trials Methods and Technology Biomarkers Metastasis biomarkers Computational Methods Mathematical modeling Drug Resistance Precision Medicine Progression, Invasion & Metastasis Metastasis Systems Biology Tumor Evolution Tumor Heterogeneity
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Movie S1 from Intermetastatic and Intrametastatic Heterogeneity Shapes Adaptive Therapy Cycling Dynamics
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Movie S2 from Intermetastatic and Intrametastatic Heterogeneity Shapes Adaptive Therapy Cycling Dynamics
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Movie S3 from Intermetastatic and Intrametastatic Heterogeneity Shapes Adaptive Therapy Cycling Dynamics
由: Jill Gallaher (16799594)
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Supplementary Table 5_Marker genes all and some per cluster no cell cycle_GO and curated pathways per cluster no cell cycle from A Rare Subset of Primary Tumor Cells with Concomitant Hyperactivation of Extracellular Matrix Remodeling and dsRNA-IFN1 Signaling Metastasizes in Breast Cancer
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Figure 1 from VCAM-1–targeted MRI Improves Detection of the Tumor-brain Interface
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Figure 4 from VCAM-1–targeted MRI Improves Detection of the Tumor-brain Interface
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Supplementary Table 1_Primer and shRNA sequences_PCR cycles_Mycoplasma testing from A Rare Subset of Primary Tumor Cells with Concomitant Hyperactivation of Extracellular Matrix Remodeling and dsRNA-IFN1 Signaling Metastasizes in Breast Cancer
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Supplementary Table 2_Predictive power of genes and signatures_Patient cohorts GEO accession number from A Rare Subset of Primary Tumor Cells with Concomitant Hyperactivation of Extracellular Matrix Remodeling and dsRNA-IFN1 Signaling Metastasizes in Breast Cancer
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Supplementary Table 3_Clonal distribution analysis from A Rare Subset of Primary Tumor Cells with Concomitant Hyperactivation of Extracellular Matrix Remodeling and dsRNA-IFN1 Signaling Metastasizes in Breast Cancer
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Supplementary Table 4_Marker genes all and some per cluster_GO and curated pathways per cluster from A Rare Subset of Primary Tumor Cells with Concomitant Hyperactivation of Extracellular Matrix Remodeling and dsRNA-IFN1 Signaling Metastasizes in Breast Cancer
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Supplementary Table 6_Gene modules analysis_GO and curated pathways associated to gene modules from A Rare Subset of Primary Tumor Cells with Concomitant Hyperactivation of Extracellular Matrix Remodeling and dsRNA-IFN1 Signaling Metastasizes in Breast Cancer
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Supplementary Table 7_Genes identified by differential expression analysis in pro vs non metastatic clones from A Rare Subset of Primary Tumor Cells with Concomitant Hyperactivation of Extracellular Matrix Remodeling and dsRNA-IFN1 Signaling Metastasizes in Breast Cancer
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Supplementary Table 8_Genes identified by classification analysis in pro vs non metastatic clones from A Rare Subset of Primary Tumor Cells with Concomitant Hyperactivation of Extracellular Matrix Remodeling and dsRNA-IFN1 Signaling Metastasizes in Breast Cancer
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Supplementary Table 4: SpatialDecon derived immune cell counts from Spatially Resolved Transcriptomics Deconvolutes Prognostic Histological Subgroups in Patients with Colorectal Cancer and Synchronous Liver Metastases
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Supplementry Table 3: REACTOME Gene Set Enrichment Analysis results from Spatially Resolved Transcriptomics Deconvolutes Prognostic Histological Subgroups in Patients with Colorectal Cancer and Synchronous Liver Metastases
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Table 1 from Spatially Resolved Transcriptomics Deconvolutes Prognostic Histological Subgroups in Patients with Colorectal Cancer and Synchronous Liver Metastases
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