Single-Cell Profiling to Explore Immunological Heterogeneity of Tumor Microenvironment in Breast Cancer
出版年份 2021 全文链接
标题
Single-Cell Profiling to Explore Immunological Heterogeneity of Tumor Microenvironment in Breast Cancer
作者
关键词
-
出版物
Frontiers in Immunology
Volume 12, Issue -, Pages -
出版商
Frontiers Media SA
发表日期
2021-02-25
DOI
10.3389/fimmu.2021.643692
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- The single-cell pathology landscape of breast cancer
- (2020) Hartland W. Jackson et al. NATURE
- Computational methods for the integrative analysis of single-cell data
- (2020) Mattia Forcato et al. BRIEFINGS IN BIOINFORMATICS
- Complement Signals Determine Opposite Effects of B Cells in Chemotherapy-Induced Immunity
- (2020) Yiwen Lu et al. CELL
- Systematic comparison of single-cell and single-nucleus RNA-sequencing methods
- (2020) Jiarui Ding et al. NATURE BIOTECHNOLOGY
- Integrated analysis of single-cell RNA-seq and bulk RNA-seq unravels tumour heterogeneity plus M2-like tumour-associated macrophage infiltration and aggressiveness in TNBC
- (2020) Xuanwen Bao et al. CANCER IMMUNOLOGY IMMUNOTHERAPY
- The history and advances in cancer immunotherapy: understanding the characteristics of tumor-infiltrating immune cells and their therapeutic implications
- (2020) Yuanyuan Zhang et al. Cellular & Molecular Immunology
- How far is single‐cell sequencing from clinical application?
- (2020) Jiaqiang Zhang et al. Clinical and Translational Medicine
- Integrative single-cell analysis
- (2019) Tim Stuart et al. NATURE REVIEWS GENETICS
- A Single-Cell Atlas of the Tumor and Immune Ecosystem of Human Breast Cancer
- (2019) Johanna Wagner et al. CELL
- Defining inflammatory cell states in rheumatoid arthritis joint synovial tissues by integrating single-cell transcriptomics and mass cytometry
- (2019) Fan Zhang et al. NATURE IMMUNOLOGY
- Current best practices in single‐cell RNA‐seq analysis: a tutorial
- (2019) Malte D Luecken et al. Molecular Systems Biology
- How to design a single-cell RNA-sequencing experiment: pitfalls, challenges and perspectives
- (2018) Alessandra Dal Molin et al. BRIEFINGS IN BIOINFORMATICS
- Single-Cell Map of Diverse Immune Phenotypes in the Breast Tumor Microenvironment
- (2018) Elham Azizi et al. CELL
- Single-cell profiling of breast cancer T cells reveals a tissue-resident memory subset associated with improved prognosis
- (2018) Peter Savas et al. NATURE MEDICINE
- Single-cell RNA sequencing for the study of development, physiology and disease
- (2018) S. Steven Potter Nature Reviews Nephrology
- The Third Revolution in Sequencing Technology
- (2018) Erwin L. van Dijk et al. TRENDS IN GENETICS
- CellProfiler 3.0: Next-generation image processing for biology
- (2018) Claire McQuin et al. PLOS BIOLOGY
- Unravelling subclonal heterogeneity and aggressive disease states in TNBC through single-cell RNA-seq
- (2018) Mihriban Karaayvaz et al. Nature Communications
- Tutorial: guidelines for the experimental design of single-cell RNA sequencing studies
- (2018) Atefeh Lafzi et al. Nature Protocols
- Single-cell RNA-seq enables comprehensive tumour and immune cell profiling in primary breast cancer
- (2017) Woosung Chung et al. Nature Communications
- The immune system and hormone-receptor positive breast cancer: Is it really a dead end?
- (2016) Maria Vittoria Dieci et al. CANCER TREATMENT REVIEWS
- Mass Cytometry: Single Cells, Many Features
- (2016) Matthew H. Spitzer et al. CELL
- Data-Driven Phenotypic Dissection of AML Reveals Progenitor-like Cells that Correlate with Prognosis
- (2015) Jacob H. Levine et al. CELL
- Advances and Applications of Single-Cell Sequencing Technologies
- (2015) Yong Wang et al. MOLECULAR CELL
- Spatial reconstruction of single-cell gene expression data
- (2015) Rahul Satija et al. NATURE BIOTECHNOLOGY
- Highly multiplexed imaging of tumor tissues with subcellular resolution by mass cytometry
- (2014) Charlotte Giesen et al. NATURE METHODS
- Method of the Year 2013
- (2013) NATURE METHODS
- mRNA-Seq whole-transcriptome analysis of a single cell
- (2009) Fuchou Tang et al. NATURE METHODS
- Fast unfolding of communities in large networks
- (2008) Vincent D Blondel et al. JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started