scholarly journals Single‐cell sequencing in translational cancer research and challenges to meet clinical diagnostic needs

Author(s):  
Ulrich Pfisterer ◽  
Julia Bräunig ◽  
Per Brattås ◽  
Markus Heidenblad ◽  
Göran Karlsson ◽  
...  
2021 ◽  
Vol Volume 14 ◽  
pp. 1895-1909
Author(s):  
Hao Wang ◽  
Die Meng ◽  
Haoyue Guo ◽  
Chenglong Sun ◽  
Peixin Chen ◽  
...  

BioTechniques ◽  
2021 ◽  
Author(s):  
Tristan Free

Amidst the development of new single-cell technologies and the implementation of multiomic approaches, two Stanford labs are spearheading a new field of research to combat cancer.


2015 ◽  
Vol 16 (1) ◽  
pp. 1-5 ◽  
Author(s):  
Mireia Mato Prado ◽  
Adam E Frampton ◽  
Justin Stebbing ◽  
Jonathan Krell

2016 ◽  
Vol 76 (6) ◽  
pp. 1305-1312 ◽  
Author(s):  
Xiaoyan Zhang ◽  
Sadie L. Marjani ◽  
Zhaoyang Hu ◽  
Sherman M. Weissman ◽  
Xinghua Pan ◽  
...  

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Yalan Lei ◽  
Rong Tang ◽  
Jin Xu ◽  
Wei Wang ◽  
Bo Zhang ◽  
...  

AbstractSingle-cell sequencing, including genomics, transcriptomics, epigenomics, proteomics and metabolomics sequencing, is a powerful tool to decipher the cellular and molecular landscape at a single-cell resolution, unlike bulk sequencing, which provides averaged data. The use of single-cell sequencing in cancer research has revolutionized our understanding of the biological characteristics and dynamics within cancer lesions. In this review, we summarize emerging single-cell sequencing technologies and recent cancer research progress obtained by single-cell sequencing, including information related to the landscapes of malignant cells and immune cells, tumor heterogeneity, circulating tumor cells and the underlying mechanisms of tumor biological behaviors. Overall, the prospects of single-cell sequencing in facilitating diagnosis, targeted therapy and prognostic prediction among a spectrum of tumors are bright. In the near future, advances in single-cell sequencing will undoubtedly improve our understanding of the biological characteristics of tumors and highlight potential precise therapeutic targets for patients.


Molecules ◽  
2021 ◽  
Vol 26 (8) ◽  
pp. 2278
Author(s):  
Afshin Derakhshani ◽  
Zeinab Rostami ◽  
Hossein Safarpour ◽  
Mahdi Abdoli Shadbad ◽  
Niloufar Sadat Nourbakhsh ◽  
...  

Over the past decade, there have been remarkable advances in understanding the signaling pathways involved in cancer development. It is well-established that cancer is caused by the dysregulation of cellular pathways involved in proliferation, cell cycle, apoptosis, cell metabolism, migration, cell polarity, and differentiation. Besides, growing evidence indicates that extracellular matrix signaling, cell surface proteoglycans, and angiogenesis can contribute to cancer development. Given the genetic instability and vast intra-tumoral heterogeneity revealed by the single-cell sequencing of tumoral cells, the current approaches cannot eliminate the mutating cancer cells. Besides, the polyclonal expansion of tumor-infiltrated lymphocytes in response to tumoral neoantigens cannot elicit anti-tumoral immune responses due to the immunosuppressive tumor microenvironment. Nevertheless, the data from the single-cell sequencing of immune cells can provide valuable insights regarding the expression of inhibitory immune checkpoints/related signaling factors in immune cells, which can be used to select immune checkpoint inhibitors and adjust their dosage. Indeed, the integration of the data obtained from the single-cell sequencing of immune cells with immune checkpoint inhibitors can increase the response rate of immune checkpoint inhibitors, decrease the immune-related adverse events, and facilitate tumoral cell elimination. This study aims to review key pathways involved in tumor development and shed light on single-cell sequencing. It also intends to address the shortcomings of immune checkpoint inhibitors, i.e., their varied response rates among cancer patients and increased risk of autoimmunity development, via applying the data from the single-cell sequencing of immune cells.


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