Abstract
Single-cell sequencing is a promising attempt to investigate the genomic, transcriptomic, and multiomic level of individual cell in the larger population of cells. The outward evolution of the technique from a manual method to the automation of single-cell sequencing is cogent. Lately, single-cell sequencing is widely used in various fields of science and has applications in neurobiology, immunity, cancer, microbiology, reproduction, and digestion. This chapter introduces the reader to the details of single-cell sequencing, currently used in several small-scale and commercial platforms. The advancement of single-cell sequencing in brain cancer sheds light on questions unanswered so far in the field of oncology.
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Abbreviations
- CNV :
-
Copy number variation
- FACS :
-
Fluorescence activated cell sorting
- FISH:
-
Fluorescence in situ hybridization
- MALBAC :
-
Multiple Annealing and Looping Based Amplification Cycles
- MDA :
-
Multiple displacement amplification
- NGS :
-
Next-generation sequencing
- RT-PCR:
-
Reverse transcription Polymerase Chain Reaction
- scRNA-seq:
-
Single-cell RNA sequencing
- SCS :
-
Single-cell sequencing
- WGA:
-
Whole genome amplification
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Verma, D., Nayak, N., Singh, A., Singh, A.K., Garg, N. (2022). Advancement of Single-Cell Sequencing in Medulloblastoma. In: Dey, A., Malhotra, A., Garg, N. (eds) Medulloblastoma. Methods in Molecular Biology, vol 2423. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-1952-0_7
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