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Related Concept Videos

RNA-seq03:21

RNA-seq

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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. 
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The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
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Updated: Nov 11, 2025

Author Spotlight: Exploring Strategies for Successful Immune Response Against Tumors
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Single-cell sequencing technology in tumor research.

Xue Bai1, Yuxuan Li1, Xuemei Zeng1

  • 1Cancer Research Institute of Hengyang Medical College, University of South China Key Laboratory of Cancer Cellular and Molecular Pathology in Hunan Province, Hunan, Hengyang 421001, China.

Clinica Chimica Acta; International Journal of Clinical Chemistry
|March 26, 2021
PubMed
Summary
This summary is machine-generated.

Single-cell sequencing (SCS) overcomes bulk tissue limitations by analyzing individual cells, offering new insights into tumor heterogeneity. This technology aids in classifying cell subsets and developing targeted cancer therapies.

Keywords:
CancerClinical applicationsPrecision medicineSingle-cell sequencing technologyTumor heterogeneity

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Area of Science:

  • Oncology
  • Genomics
  • Molecular Biology

Background:

  • Tumor heterogeneity poses challenges in cancer research and treatment.
  • Bulk tissue sequencing masks rare cell signals and intra-tumor genetic instability.
  • Single-cell sequencing (SCS) addresses these limitations by providing high-resolution genomic data.

Purpose of the Study:

  • To review the methodologies of single-cell sequencing.
  • To highlight the applications of SCS in cancer research and clinical practice.
  • To explore SCS's role in understanding tumor heterogeneity and guiding targeted therapies.

Main Methods:

  • Review of single-cell sequencing (SCS) techniques.
  • Analysis of genetic, transcriptomic, and epigenetic data at the single-cell level.
  • Compilation of current applications of SCS in oncology.

Main Results:

  • SCS effectively captures gene expression from rare cells, unlike bulk sequencing.
  • SCS enables precise classification of tumor cell subsets within heterogeneous populations.
  • SCS reveals molecular mechanisms of tumor evolution, metastasis, and drug resistance.

Conclusions:

  • Single-cell sequencing is crucial for understanding tumor heterogeneity.
  • SCS facilitates the identification of novel biomarkers for cancer diagnosis.
  • SCS supports the development of personalized and targeted cancer treatments.