Curated Papers > High-impact authoritative literature on "single-cell sequencing"

The single-cell sequencing: new developments and medical applications.

Literature Information

DOI	10.1186/s13578-019-0314-y
PMID	31391919
Journal	Cell & bioscience
Impact Factor	6.2
JCR Quartile	Q1
Publication Year	2019
Times Cited	139
Keywords	Cancer, Clinical applications, Developments, Immunology, Single-cell sequencing technologies
Literature Type	Journal Article, Review
ISSN	2045-3701
Pages	53
Issue	9()
Authors	Xiaoning Tang, Yongmei Huang, Jinli Lei, Hui Luo, Xiao Zhu

TL;DR

This review discusses recent advancements in single-cell sequencing technologies, emphasizing their ability to analyze genomes, transcriptomes, and multi-omics at the individual cell level, which reveals cellular diversity and evolutionary relationships. The findings underscore the significant impact of these techniques across various fields, including oncology, microbiology, and immunology, enhancing our understanding of complex biological systems and disease mechanisms.

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Cancer · Clinical applications · Developments · Immunology · Single-cell sequencing technologies

Abstract

Single-cell sequencing technologies can be used to detect the genome, transcriptome and other multi-omics of single cells. They can show the differences and evolutionary relationships of various cells. This review introduces the latest advances in single-cell sequencing technologies and their applications in oncology, microbiology, neurology, reproduction, immunology, digestive and urinary systems, highlighting the important role that single-cell sequencing techniques play in these areas.

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Primary Questions Addressed

1. How do the latest advancements in single-cell sequencing technologies compare to traditional bulk sequencing methods in terms of sensitivity and specificity?
2. What are the potential challenges and limitations of implementing single-cell sequencing in clinical settings for cancer diagnosis and treatment?
3. In what ways can single-cell sequencing contribute to our understanding of complex diseases beyond oncology, such as neurodegenerative disorders or autoimmune diseases?
4. How might single-cell sequencing technologies evolve in the next few years, and what implications could these advancements have for personalized medicine?
5. What are the ethical considerations associated with the use of single-cell sequencing in human health research and medical applications?

Key Findings

Background and Objectives

Single-cell sequencing technologies have emerged as powerful tools for analyzing the genome, transcriptome, and multi-omics of individual cells, revealing cellular heterogeneity and evolutionary relationships. Traditional sequencing methods, which average signals across multiple cells, fail to capture this diversity. This review highlights recent advancements in single-cell sequencing techniques and their applications across various medical fields, including oncology, microbiology, neurology, reproductive medicine, and immunology.

Main Methods/Materials/Experimental Design

The review details several innovative single-cell sequencing technologies and their functionalities, as summarized in the table below. Each method is designed to address specific challenges in single-cell analysis, such as cost, throughput, and resolution.

Technology	Characteristics	Functions
SCI-seq	Single-cell combinatorial marker sequencing	Constructs single-cell libraries and detects copy number variations
scCOOL-seq	Single-cell multiplex sequencing	Analyzes chromatin states, DNA methylation, and copy number variations
TSCS	Topographic single-cell sequencing	Provides spatial location information for tumor cells
SPLit-seq	Low-cost single-cell transcriptome sequencing	Reduces costs to 1 cent per transcriptome sequencing
CROP-seq	Combines CRISPR with single-cell RNA sequencing	Facilitates high-throughput functional analysis of heterogeneous cell populations
Microwell-seq	High-throughput, low-cost single-cell RNA sequencing	Allows extensive genomic studies on different cell populations

Key Results and Findings

Single-cell sequencing technologies have significantly enhanced our understanding of various biological systems. Key findings include:

• Cancer Research: Single-cell sequencing elucidates tumor heterogeneity, aiding in the identification of specific markers and mechanisms underlying tumorigenesis and metastasis.
• Microbiology: The technology enables the classification and genomic analysis of previously uncharacterized microbial species, contributing to our understanding of microbial ecology and antibiotic resistance.
• Neurology: It allows for detailed mapping of neuronal types and their interactions, providing insights into brain development and neurological disorders.
• Reproductive Medicine: Single-cell analysis helps in understanding germ cell development and can improve prenatal diagnostics and reproductive therapies.
• Immunology: The technology identifies diverse immune cell populations, revealing their roles in health and disease, particularly in cancer immunotherapy.

Main Conclusions/Significance/Innovation

The review emphasizes the transformative potential of single-cell sequencing in advancing personalized medicine and understanding complex biological systems. By providing insights into cellular diversity and functionality, these technologies can lead to new diagnostic markers and therapeutic targets, particularly in cancer and immunology.

Research Limitations and Future Directions

Despite the advancements, single-cell sequencing faces challenges such as high operational complexity and costs. Future directions include:

• Simplifying the technology to enhance accessibility and usability in clinical settings.
• Integrating multi-omics approaches to provide a more comprehensive view of cellular processes.
• Expanding applications in under-researched areas, such as rare diseases and complex tissue systems.

In conclusion, the evolution of single-cell sequencing technologies represents a significant leap forward in biomedical research, promising to unravel the complexities of human health and disease.

References

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Literatures Citing This Work

1. The Human Ovary and Future of Fertility Assessment in the Post-Genome Era. - Emna Ouni;Didier Vertommen;Christiani A Amorim - International journal of molecular sciences (2019)
2. Transcriptional regulation in model organisms: recent progress and clinical implications. - Jiaqi Tang;Zhenhua Xu;Lianfang Huang;Hui Luo;Xiao Zhu - Open biology (2019)
3. Transcriptome analysis reveals an important candidate gene involved in both nodal metastasis and prognosis in lung adenocarcinoma. - Xiao Zhu;Hui Luo;Ying Xu - Cell & bioscience (2019)
4. Microsatellite instability: a review of what the oncologist should know. - Kai Li;Haiqing Luo;Lianfang Huang;Hui Luo;Xiao Zhu - Cancer cell international (2020)
5. Three-dimensional genome: developmental technologies and applications in precision medicine. - Yingqi Li;Tao Tao;Likun Du;Xiao Zhu - Journal of human genetics (2020)
6. mTOR signaling pathway and mTOR inhibitors in cancer: progress and challenges. - Zhilin Zou;Tao Tao;Hongmei Li;Xiao Zhu - Cell & bioscience (2020)
7. Advances of single-cell genomics and epigenomics in human disease: where are we now? - Rizqah Kamies;Celia P Martinez-Jimenez - Mammalian genome : official journal of the International Mammalian Genome Society (2020)
8. Organoid technology in female reproductive biomedicine. - Heidar Heidari-Khoei;Fereshteh Esfandiari;Mohammad Amin Hajari;Zeynab Ghorbaninejad;Abbas Piryaei;Hossein Baharvand - Reproductive biology and endocrinology : RB&E (2020)
9. Single-cell and spatial transcriptomics approaches of cardiovascular development and disease. - Robert Roth;Soochi Kim;Jeesu Kim;Siyeon Rhee - BMB reports (2020)
10. Single-cell approaches to investigate B cells and antibodies in autoimmune neurological disorders. - Alicia Zou;Sudarshini Ramanathan;Russell C Dale;Fabienne Brilot - Cellular & molecular immunology (2021)

... (129 more literatures)

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