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RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
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Single-cell sequencing reveals cancer cell heterogeneity and evolution, aiding in early detection and personalized therapy development. These advanced genomic techniques offer new insights into tumor biology and potential biomarkers.

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Area of Science:

  • Genomics
  • Cancer Biology
  • Molecular Oncology

Background:

  • Genomic technologies now allow detailed analysis of individual cancer cells.
  • Single-cell sequencing methods provide comprehensive insights into cancer genomes, transcriptomes, and epigenomes.

Purpose of the Study:

  • To review current single cancer-cell sequencing methods.
  • To highlight their applications, challenges, and future prospects in cancer research and therapy.

Main Methods:

  • Single-cell isolation techniques.
  • Whole genome and transcriptome amplification.
  • Epigenome profiling and multi-dimensional sequencing.
  • Next-generation sequencing and data analysis.

Main Results:

  • Unveiled significant cancer cell population heterogeneity and stochastic changes.
  • Identified novel driver mutations and complex clonal evolution mechanisms.
  • Enabled novel identification of biomarkers for various tumors.

Conclusions:

  • Single-cell sequencing advances early cancer detection and monitoring of rare cells (e.g., circulating tumor cells).
  • These methods are crucial for developing personalized and precise cancer therapies.