Advances in single-cell RNA sequencing and its applications in cancer research

D Huang, N Ma, X Li, Y Gou, Y Duan, B Liu… - Journal of hematology & …, 2023 - Springer
Cancers are a group of heterogeneous diseases characterized by the acquisition of
functional capabilities during the transition from a normal to a neoplastic state. Powerful …

What are the applications of single-cell RNA sequencing in cancer research: a systematic review

L Li, F Xiong, Y Wang, S Zhang, Z Gong, X Li… - Journal of Experimental …, 2021 - Springer
Single-cell RNA sequencing (scRNA-seq) is a tool for studying gene expression at the
single-cell level that has been widely used due to its unprecedented high resolution. In the …

Single-cell RNA sequencing in cancer: Applications, advances, and emerging challenges

G Sun, Z Li, D Rong, H Zhang, X Shi, W Yang… - Molecular Therapy …, 2021 - cell.com
Cancer has become one of the greatest threats to human health, and new technologies are
urgently needed to further clarify the mechanisms of cancer so that better detection and …

Single‐cell RNA sequencing in cancer research

Y Zhang, D Wang, M Peng, L Tang, J Ouyang… - Journal of Experimental …, 2021 - Springer
Single-cell RNA sequencing (scRNA-seq), a technology that analyzes transcriptomes of
complex tissues at single-cell levels, can identify differential gene expression and epigenetic …

[HTML][HTML] Advances in single-cell RNA sequencing and its applications in cancer research

S Zhu, T Qing, Y Zheng, L Jin, L Shi - Oncotarget, 2017 - ncbi.nlm.nih.gov
Unlike population-level approaches, single-cell RNA sequencing enables transcriptomic
analysis of an individual cell. Through the combination of high-throughput sequencing and …

Single cell RNA‐sequencing: A powerful yet still challenging technology to study cellular heterogeneity

M Ke, B Elshenawy, H Sheldon, A Arora, FM Buffa - BioEssays, 2022 - Wiley Online Library
Almost all biomedical research to date has relied upon mean measurements from cell
populations, however it is well established that what it is observed at this macroscopic level …

High throughput single cell RNA sequencing, bioinformatics analysis and applications

X Huang, S Liu, L Wu, M Jiang, Y Hou - Single cell biomedicine, 2018 - Springer
Single cell sequencing (SCS) can be harnessed to acquire the genomes, transcriptomes
and epigenomes from individual cells. Next generation sequencing (NGS) technology is the …

[HTML][HTML] Single-cell transcriptomics bioinformatics and computational challenges

OB Poirion, X Zhu, T Ching, L Garmire - Frontiers in genetics, 2016 - frontiersin.org
The emerging single-cell RNA-Seq (scRNA-Seq) technology holds the promise to
revolutionize our understanding of diseases and associated biological processes at an …

Cancer biology deciphered by single-cell transcriptomic sequencing

Y Li, J Jin, F Bai - Protein & Cell, 2022 - academic.oup.com
Tumors are complex ecosystems in which heterogeneous cancer cells interact with their
microenvironment composed of diverse immune, endothelial, and stromal cells. Cancer …

The evolution of single-cell RNA sequencing technology and application: progress and perspectives

S Wang, ST Sun, XY Zhang, HR Ding, Y Yuan… - International Journal of …, 2023 - mdpi.com
As an emerging sequencing technology, single-cell RNA sequencing (scRNA-Seq) has
become a powerful tool for describing cell subpopulation classification and cell …