Single-Cell Sequencing, an Advanced Technology in Lung Cancer Research

Wang, Hao; Meng, Die; Guo, Haoyue; Sun, Chengtao; Chen, Peixin; Jiang, Minlin; Xu, Yali; Yu, Jia; Fang, Qiyu; Zhu, Jun; Zhao, Wencheng; Wu, Shengyu; Zhao, Sha; Li, Wei; Chen, Bin; Wang, Lei; He, Yayi

doi:10.2147/ott.s295102

Cited by 6 publications

(10 citation statements)

References 77 publications

(76 reference statements)

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“…Micromanipulation -Low cost -High accuracy -Simple process -Applicable for low cell count -Applicable for observing cells -Low throughput -Time-consuming -Manual process -Need to experienced operators -Mechanical damage to the target cell -Need to cell suspensions preparation Xu et al, 14 Tian and Li, 15 Paolillo et al, 16 Wang et al, 17 Chen et al, 18 Casasent et al 19 Microfluidic separation -Time saving -High throughput -Low reagent cost -Low contamination -Precise fluid control -Free-label separation -Low sample consumption -Low cell capture rate -Cell damage -Device clogging Xu et al, 14 Tian and Li, 15 Dong et al, 20 Wang et al, 17 Qi et al 21 DEPArray sorting system -High purity -Live imaging -Rare cells imaging -Small sample volume -Applicable for fixed or live cells -Semiautomatic separation system -Time-consuming -Low throughput size/deformability-based, hydrodynamics-based, electric-based, and acoustics-based microfluidics. Microfluidics-based CTC isolation is also done using affinity-based techniques in which cells are captured based on their surface protein expression levels involving the use of relevant antibodies or aptamers, allowing the selection of cancer-specific biomarkers (Figure 1).…”

Section: Measurementmentioning

confidence: 99%

“…-Time saving -High accuracy -Rare cells isolation -High cell viability -Automatic separation system -High cost -Low throughput Xu et al, 14 Laser capture microdissection -High accuracy -Fewer cell damages -No need to cell suspension preparation -High separation efficiency -Low throughput -Time-consuming -Need experienced operators -Laborious for routine clinical applications Tian and Li, 15 Sun et al, 24 Paolillo et al, 16 Rossi and Zamarchi, 23 Zhao et al, 25 Wang et al 17 Magnetic-activated cell sorting -High specificity -Fewer cell damages -Applicable to high-sample volume -High cost -Surface markers dependency Tian and Li, 15 Wang et al 17 Flow-activated cell sorting -High purity -High speed -High efficiency -High throughput -High cost -Need fresh tumor samples -Not suitable for detecting rare cells -Need a large volume of cells -Need cell suspensions preparation -Need specific monoclonal antibodies Sun et al, 24 Paolillo et al, 16 Wang et al, 17 Chen et al, 18 Casasent et al 19 Table 1. (Continued) Rectangular-shaped microcavities were designed to optimize CTC capturing efficiency using this method to capture smaller CTCs.…”

Section: Cellcelector Sorting Systemmentioning

confidence: 99%

See 1 more Smart Citation

Advances in novel strategies for isolation, characterization, and analysis of CTCs and ctDNA

Yaghoubi Naei,

Bordhan,

Mirakhorli

et al. 2023

Ther Adv Med Oncol

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Over the past decade, the detection and analysis of liquid biopsy biomarkers such as circulating tumor cells (CTCs) and circulating tumor DNA (ctDNA) have advanced significantly. They have received recognition for their clinical usefulness in detecting cancer at an early stage, monitoring disease, and evaluating treatment response. The emergence of liquid biopsy has been a helpful development, as it offers a minimally invasive, rapid, real-time monitoring, and possible alternative to traditional tissue biopsies. In resource-limited settings, the ideal platform for liquid biopsy should not only extract more CTCs or ctDNA from a minimal sample volume but also accurately represent the molecular heterogeneity of the patient’s disease. This review covers novel strategies and advancements in CTC and ctDNA-based liquid biopsy platforms, including microfluidic applications and comprehensive analysis of molecular complexity. We discuss these systems’ operational principles and performance efficiencies, as well as future opportunities and challenges for their implementation in clinical settings. In addition, we emphasize the importance of integrated platforms that incorporate machine learning and artificial intelligence in accurate liquid biopsy detection systems, which can greatly improve cancer management and enable precision diagnostics.

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Section: Measurementmentioning

confidence: 99%

Section: Cellcelector Sorting Systemmentioning

confidence: 99%

Advances in novel strategies for isolation, characterization, and analysis of CTCs and ctDNA

Yaghoubi Naei,

Bordhan,

Mirakhorli

et al. 2023

Ther Adv Med Oncol

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show abstract

“…Although the lung cancer ecosystem is highly complex, scRNA-seq technology has become a powerful tool for dissecting the TME of lung cancer by characterizing various cells, thus revealing their phenotypic changes and expression differences in the TME ( 49 ). Recently, studies on scRNA-seq in the TME of lung cancer have proliferated, and lung tumor cells have been specifically described in several recent papers ( 50 , 51 ). However, the TME of stromal cells have not been described in detail.…”

Section: Phenotypic Molding Of Stromal Cells In the Lung Cancer Tme Under Scrna-seq Analysismentioning

confidence: 99%

Single-Cell RNA Sequencing in Lung Cancer: Revealing Phenotype Shaping of Stromal Cells in the Microenvironment

et al. 2022

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The lung tumor microenvironment, which is composed of heterogeneous cell populations, plays an important role in the progression of lung cancer and is closely related to therapeutic efficacy. Increasing evidence has shown that stromal components play a key role in regulating tumor invasion, metastasis and drug resistance. Therefore, a better understanding of stromal components in the tumor microenvironment is helpful for the diagnosis and treatment of lung cancer. Rapid advances in technology have brought our understanding of disease into the genetic era, and single-cell RNA sequencing has enabled us to describe gene expression profiles with unprecedented resolution, enabling quantitative analysis of gene expression at the single-cell level to reveal the correlations among heterogeneity, signaling pathways, drug resistance and microenvironment molding in lung cancer, which is important for the treatment of this disease. In this paper, several common single-cell RNA sequencing methods and their advantages and disadvantages are briefly introduced to provide a reference for selection of suitable methods. Furthermore, we review the latest progress of single-cell RNA sequencing in the study of stromal cells in the lung tumor microenvironment.

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“…That allows an unprecedented dissection of transcription within millions of individual cells. Both single-cell RNA sequencing (scRNA-seq) and single-nucleus RNA sequencing (snRNA-seq) have exciting applications [65][66][67][68][69][70][71][72][73][74][75][76][77], for instance: (i) discovering and characterizing cell type in health and diseases, such as cancer [13,[78][79][80][81][82][83][84][85][86][87][88][89], with implications in immunology [90], immune-mediated diseases [91], immunotherapy [92][93][94][95][96][97][98][99][100] and drug resistance [101]; (ii) deciphering the roles of such specific cell types in health and disease [102], including mitochondrial heteroplasmy [33]; and (iii) analyzing cell emergence, development and plasticity in tissues and organisms. These studies are also applied to study plant biology [103,104].…”

Section: Functional Genomicsmentioning

confidence: 99%

Analyzing Modern Biomolecules: The Revolution of Nucleic-Acid Sequencing – Review

et al. 2021

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Recent developments have revolutionized the study of biomolecules. Among them are molecular markers, amplification and sequencing of nucleic acids. The latter is classified into three generations. The first allows to sequence small DNA fragments. The second one increases throughput, reducing turnaround and pricing, and is therefore more convenient to sequence full genomes and transcriptomes. The third generation is currently pushing technology to its limits, being able to sequence single molecules, without previous amplification, which was previously impossible. Besides, this represents a new revolution, allowing researchers to directly sequence RNA without previous retrotranscription. These technologies are having a significant impact on different areas, such as medicine, agronomy, ecology and biotechnology. Additionally, the study of biomolecules is revealing interesting evolutionary information. That includes deciphering what makes us human, including phenomena like non-coding RNA expansion. All this is redefining the concept of gene and transcript. Basic analyses and applications are now facilitated with new genome editing tools, such as CRISPR. All these developments, in general, and nucleic-acid sequencing, in particular, are opening a new exciting era of biomolecule analyses and applications, including personalized medicine, and diagnosis and prevention of diseases for humans and other animals.

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Single-Cell Sequencing, an Advanced Technology in Lung Cancer Research

Cited by 6 publications

References 77 publications

Advances in novel strategies for isolation, characterization, and analysis of CTCs and ctDNA

Advances in novel strategies for isolation, characterization, and analysis of CTCs and ctDNA

Single-Cell RNA Sequencing in Lung Cancer: Revealing Phenotype Shaping of Stromal Cells in the Microenvironment

Analyzing Modern Biomolecules: The Revolution of Nucleic-Acid Sequencing – Review

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