Single Cell Biomedicine (eBook, PDF)

Redaktion: Gu, Jianqin; Wang, Xiangdong

• Format: PDF

Produktbeschreibung

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Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 195
• Erscheinungstermin: 25. Juni 2018
• Englisch
• ISBN-13: 9789811305023
• Artikelnr.: 53036037

Autorenporträt

Dr. Jianqing Gu is Professor and President of Henan Province People Hospital, Zhengzhou, Henan Province, China. Dr. Xiangdong Wang is Distinguished Professor of Medicine, Director of Shanghai Institute of Clinical Bioinformatics, Director of Fudan University Center for Clinical Bioinformatics, Deputy Director of Shanghai Respiratory Research Institute, Director of Biomedical Research Center, Fudan University Zhongshan Hospital, Shanghai, China;

Inhaltsangabe

Chapter 1: Can the Single Cell Make Biomedicine Different (Wang).- Chapter 2: Automated Single-cell Analysis and Isolation System (Tatematsu).- Chapter 3: Single-cell non-coding RNA in Embryonic Development (Fu).- Chapter 4: High Throughput Single Cell RNA sequencing, Bioinformatics Analysis and Applications (Huang).- Chapter 5: Circulating Tumor Cells (Heymann).- Chapter 6: Super-Resolution Fluorescence Microscopy for Single Cell Imaging (Feng).- Chapter 7: Single Cell Proteomics for Molecular Targets in Lung Cancer (Wang).- Chapter 8: Therapeutic Antibody Discovery in Infectious Diseases Using Single-Cell Analysis (Alexandria Voigt).- Chapter 9: Single Cell Genetics and Epigenetics in Early Embryo (Wei).- Chapter 10: The Potential Roles and Advantages of Single Cell Sequencing in The Diagnosis and Treatment of Hematological Malignancies (Shi).- Chapter 11: Application of Single Cell Sequencing in Cancer (Yu).- Chapter 12: Emergence of Bias During the Synthesis and Amplification of cDNA for scRNA-seq (Luo).- Chapter 13: Detection and Application of RNA Editing in Cancer (Qian).- Chapter 14: Is pooled CRISPR-screening the Dawn of a New Era for Functional Genomics (Yao).- Chapter 15: Single Cell Sequencing in Respiratory Diseases (Zeng).- Chapter 16: The Significance of Single-cell Analysis in Stem Cells (Zhuge).