Revolutionizing Cancer Immunology: The Power of Next-Generation Sequencing Technologies
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[1] Israel Steinfeld,et al. BMC Bioinformatics BioMed Central , 2008 .
[2] Vanessa M. Peterson,et al. Multiplexed quantification of proteins and transcripts in single cells , 2017, Nature Biotechnology.
[3] Patrik L. Ståhl,et al. Visualization and analysis of gene expression in tissue sections by spatial transcriptomics , 2016, Science.
[4] Charles H. Yoon,et al. Dissecting the multicellular ecosystem of metastatic melanoma by single-cell RNA-seq , 2016, Science.
[5] Aviv Regev,et al. Induction and transcriptional regulation of the co-inhibitory gene module in T cells , 2018, Nature.
[6] Aviv Regev,et al. A Distinct Gene Module for Dysfunction Uncoupled from Activation in Tumor-Infiltrating T Cells , 2016, Cell.
[7] Samuel L. Wolock,et al. Population Snapshots Predict Early Hematopoietic and Erythroid Hierarchies , 2018, Nature.
[8] Ambrose J. Carr,et al. Single-Cell Map of Diverse Immune Phenotypes in the Breast Tumor Microenvironment , 2018, Cell.
[9] Andrew C. Adey,et al. Single-Cell Transcriptional Profiling of a Multicellular Organism , 2017 .
[10] Caleb Weinreb,et al. SPRING: a kinetic interface for visualizing high dimensional single-cell expression data , 2017, bioRxiv.
[11] Maithreyan Srinivasan,et al. Nanogrid single-nucleus RNA sequencing reveals phenotypic diversity in breast cancer , 2017, Nature Communications.
[12] Jeong Eon Lee,et al. Single-cell RNA-seq enables comprehensive tumour and immune cell profiling in primary breast cancer , 2017, Nature Communications.
[13] Maria K. Jaakkola,et al. Comparison of methods to detect differentially expressed genes between single-cell populations , 2016, Briefings Bioinform..
[14] Aaron T. L. Lun,et al. Three-dimensional disorganization of the cancer genome occurs coincident with long-range genetic and epigenetic alterations , 2016, Genome research.
[15] P. Kharchenko,et al. Integrative single-cell analysis of transcriptional and epigenetic states in the human adult brain , 2017, Nature Biotechnology.
[16] A. Regev,et al. Revealing the vectors of cellular identity with single-cell genomics , 2016, Nature Biotechnology.
[17] H. Swerdlow,et al. Large-scale simultaneous measurement of epitopes and transcriptomes in single cells , 2017, Nature Methods.
[18] J. C. Love,et al. Seq-Well: A Portable, Low-Cost Platform for High-Throughput Single-Cell RNA-Seq of Low-Input Samples , 2017, Nature Methods.
[19] W. Coley. The Classic: The Treatment of Malignant Tumors by Repeated Inoculations of Erysipelas , 1991 .
[20] Fabian J Theis,et al. Diffusion pseudotime robustly reconstructs lineage branching , 2016, Nature Methods.
[21] Erik Sundström,et al. RNA velocity of single cells , 2018, Nature.
[22] Shawn M. Gillespie,et al. Single-Cell Transcriptomic Analysis of Primary and Metastatic Tumor Ecosystems in Head and Neck Cancer , 2017, Cell.
[23] Catherine J. Wu,et al. Towards personalized, tumour-specific, therapeutic vaccines for cancer , 2017, Nature Reviews Immunology.
[24] Monika S. Kowalczyk,et al. Single-cell RNA-seq reveals changes in cell cycle and differentiation programs upon aging of hematopoietic stem cells , 2015, Genome research.
[25] Joseph L. Herman,et al. Characterizing transcriptional heterogeneity through pathway and gene set overdispersion analysis , 2015, Nature Methods.
[26] Eyal David,et al. Spatial reconstruction of immune niches by combining photoactivatable reporters and scRNA-seq , 2017, Science.
[27] Richard H. Scheuermann,et al. Equivalent high-resolution identification of neuronal cell types with single-nucleus and single-cell RNA-sequencing , 2017, bioRxiv.
[28] Pablo Tamayo,et al. Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles , 2005, Proceedings of the National Academy of Sciences of the United States of America.
[29] Rona S. Gertner,et al. Single-Cell Genomics Unveils Critical Regulators of Th17 Cell Pathogenicity , 2015, Cell.
[30] Richard A. Muscat,et al. Single-cell profiling of the developing mouse brain and spinal cord with split-pool barcoding , 2018, Science.
[31] Cole Trapnell,et al. The dynamics and regulators of cell fate decisions are revealed by pseudotemporal ordering of single cells , 2014, Nature Biotechnology.
[32] Howard Y. Chang,et al. Transposition of native chromatin for fast and sensitive epigenomic profiling of open chromatin, DNA-binding proteins and nucleosome position , 2013, Nature Methods.
[33] Boxi Kang,et al. Global characterization of T cells in non-small-cell lung cancer by single-cell sequencing , 2018, Nature Medicine.
[34] Mariella G. Filbin,et al. Decoupling genetics, lineages, and microenvironment in IDH-mutant gliomas by single-cell RNA-seq , 2017, Science.
[35] I. Yanai,et al. Building a tumor atlas: integrating single-cell RNA-Seq data with spatial transcriptomics in pancreatic ductal adenocarcinoma , 2018, bioRxiv.
[36] M. Ronaghi,et al. Neuronal subtypes and diversity revealed by single-nucleus RNA sequencing of the human brain , 2016, Science.
[37] P. Rigollet,et al. Reconstruction of developmental landscapes by optimal-transport analysis of single-cell gene expression sheds light on cellular reprogramming , 2017, bioRxiv.
[38] J. C. Love,et al. Seq-Well: portable, low-cost RNA sequencing of single cells at high throughput , 2017, Nature Methods.
[39] Andrew D. Rouillard,et al. Enrichr: a comprehensive gene set enrichment analysis web server 2016 update , 2016, Nucleic Acids Res..
[40] Fabian J. Theis,et al. PAGA: graph abstraction reconciles clustering with trajectory inference through a topology preserving map of single cells , 2017, Genome Biology.
[41] Christina S. Leslie,et al. Chromatin states define tumor-specific T cell dysfunction and reprogramming , 2017, Nature.
[42] Fabian J Theis,et al. The Human Cell Atlas , 2017, bioRxiv.
[43] Aviv Regev,et al. Massively-parallel single nucleus RNA-seq with DroNc-seq , 2017, Nature Methods.
[44] R. Satija,et al. Single-cell RNA sequencing to explore immune cell heterogeneity , 2017, Nature Reviews Immunology.
[45] Stefan Schoenfelder,et al. Hi-C as a tool for precise detection and characterisation of chromosomal rearrangements and copy number variation in human tumours , 2017, Genome Biology.
[46] Paul Hoffman,et al. Integrating single-cell transcriptomic data across different conditions, technologies, and species , 2018, Nature Biotechnology.
[47] J. Weinstein,et al. A Pan-Cancer Analysis of Enhancer Expression in Nearly 9000 Patient Samples. , 2018, Cell.
[48] Fabian J Theis,et al. SCANPY: large-scale single-cell gene expression data analysis , 2018, Genome Biology.
[49] Michael J. T. Stubbington,et al. Single-cell transcriptomics to explore the immune system in health and disease , 2017, Science.
[50] W. Coley,et al. THE TREATMENT OF MALIGNAT TUMORS BY REPEATED INOCULATIONS OF ERYSIPELAS: WITH A REPORT OF TEN ORIGINAL CASES , 1893 .
[51] Charles H. Yoon,et al. IFNγ-Dependent Tissue-Immune Homeostasis Is Co-opted in the Tumor Microenvironment , 2017, Cell.