Literature DB >> 34895349

Application and prospects of single cell sequencing in tumors.

Ruo Han Huang1, Le Xin Wang1, Jing He2, Wen Gao3.   

Abstract

Cancer is an intricate disease with inherent intra-tumor heterogeneity at the cellular level because of genetic changes and environmental differences. Cellular heterogeneity exists even within the same tumor type. Small deviations in a genome or transcriptome can lead to significant differences in function. Conventional bulk population sequencing, which produces admixed populations of cells, can only provide an average expression signal for one cell population, ignoring differences between individual cells. Important advances in sequencing have been made in recent years. Single cell sequencing starts in a single cell, thereby increasing our capability to characterize intratumor heterogeneity. This technology has been used to analyze genetic variation, specific metabolic activity, and evolutionary processes in tumors, which may help us understand tumor occurrence and development and improve our understanding of the tumor microenvironment. In addition, it provides a theoretical basis for the development of clinical treatments, especially for personalized medicine. In this article, we briefly introduce Single cell sequencing technology, summarize the application of Single cell sequencing to study the tumor microenvironment, as well as its therapeutic application in different clinical procedures.
© 2021. The Author(s).

Entities:  

Keywords:  Clinical applications; Single cell sequencing; Tumor microenvironment; Tumors

Year:  2021        PMID: 34895349      PMCID: PMC8665603          DOI: 10.1186/s40364-021-00336-2

Source DB:  PubMed          Journal:  Biomark Res        ISSN: 2050-7771


  109 in total

1.  High-throughput single-cell ChIP-seq identifies heterogeneity of chromatin states in breast cancer.

Authors:  Kevin Grosselin; Adeline Durand; Justine Marsolier; Adeline Poitou; Elisabetta Marangoni; Fariba Nemati; Ahmed Dahmani; Sonia Lameiras; Fabien Reyal; Olivia Frenoy; Yannick Pousse; Marcel Reichen; Adam Woolfe; Colin Brenan; Andrew D Griffiths; Céline Vallot; Annabelle Gérard
Journal:  Nat Genet       Date:  2019-05-31       Impact factor: 38.330

2.  Circulating Long Noncoding RNAs as Biomarkers for Predicting Head and Neck Squamous Cell Carcinoma.

Authors:  Yao Yao; Xinyuan Chen; Shuai Lu; Chao Zhou; Guolong Xu; Zhongyi Yan; Jianrong Yang; Tonghua Yu; Wei Chen; Yichun Qian; Shounian Ding; Junwei Tang; Yun Chen; Yuan Zhang
Journal:  Cell Physiol Biochem       Date:  2018-10-24

3.  mRNA-Seq whole-transcriptome analysis of a single cell.

Authors:  Fuchou Tang; Catalin Barbacioru; Yangzhou Wang; Ellen Nordman; Clarence Lee; Nanlan Xu; Xiaohui Wang; John Bodeau; Brian B Tuch; Asim Siddiqui; Kaiqin Lao; M Azim Surani
Journal:  Nat Methods       Date:  2009-04-06       Impact factor: 28.547

Review 4.  Single-cell epigenomics: Recording the past and predicting the future.

Authors:  Gavin Kelsey; Oliver Stegle; Wolf Reik
Journal:  Science       Date:  2017-10-06       Impact factor: 47.728

Review 5.  Applying high-dimensional single-cell technologies to the analysis of cancer immunotherapy.

Authors:  Satyen H Gohil; J Bryan Iorgulescu; David A Braun; Derin B Keskin; Kenneth J Livak
Journal:  Nat Rev Clin Oncol       Date:  2020-12-04       Impact factor: 66.675

6.  Single-cell RNA sequencing highlights the role of inflammatory cancer-associated fibroblasts in bladder urothelial carcinoma.

Authors:  Zhaohui Chen; Lijie Zhou; Lilong Liu; Yaxin Hou; Ming Xiong; Yu Yang; Junyi Hu; Ke Chen
Journal:  Nat Commun       Date:  2020-10-08       Impact factor: 14.919

7.  Single-cell RNA sequencing of human breast tumour-infiltrating immune cells reveals a γδ T-cell subtype associated with good clinical outcome.

Authors:  Katerina Boufea; Víctor González-Huici; Marcus Lindberg; Stefan Symeonides; Olga Oikonomidou; Nizar N Batada
Journal:  Life Sci Alliance       Date:  2020-12-02

8.  Tumor-promoting macrophages prevail in malignant ascites of advanced gastric cancer.

Authors:  Hye Hyeon Eum; Minsuk Kwon; Daeun Ryu; Areum Jo; Woosung Chung; Nayoung Kim; Yourae Hong; Dae-Soon Son; Seung Tae Kim; Jeeyun Lee; Hae-Ock Lee; Woong-Yang Park
Journal:  Exp Mol Med       Date:  2020-12-04       Impact factor: 8.718

Review 9.  Applications of Single-Cell Omics to Dissect Tumor Microenvironment.

Authors:  Tingting Guo; Weimin Li; Xuyu Cai
Journal:  Front Genet       Date:  2020-11-27       Impact factor: 4.599

10.  Improving nanopore read accuracy with the R2C2 method enables the sequencing of highly multiplexed full-length single-cell cDNA.

Authors:  Roger Volden; Theron Palmer; Ashley Byrne; Charles Cole; Robert J Schmitz; Richard E Green; Christopher Vollmers
Journal:  Proc Natl Acad Sci U S A       Date:  2018-09-10       Impact factor: 11.205

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