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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 T and B lymphocytes of the adaptive immune system develop from common lymphoid progenitor cells in the bone marrow. These progenitors give rise to precursors that eventually develop into both T and B lymphocytes. As these precursors mature, they gain the ability to detect and respond to foreign antigens in the body, a process known as immunocompetence. Additionally, these precursors acquire self-tolerance, a process that ensures they do not react to self-antigens. This intricate system...
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The innate immune response is an immediate and non-specific response against pathogens, acting swiftly to prevent the spread of infections. The primary cells involved in this response are phagocytes and natural killer (NK) cells.
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Immune surveillance is an integral part of the innate immune system, involving the continuous monitoring of peripheral tissues to detect and respond to pathogens, infected cells, or cancerous cells. This surveillance is conducted primarily by natural killer (NK) cells and phagocytes, which employ distinct but complementary mechanisms to identify and eliminate threats.
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Cytotoxic T cells are a vital component of the immune system. They have the remarkable ability to identify and target antigens on infected or abnormal cells. These antigens often originate from intracellular pathogens such as viruses or abnormal proteins cancer cells produce.
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Estimation of immune cell content in tumor using single-cell RNA-seq reference data.

Xiaoqing Yu1, Y Ann Chen1, Jose R Conejo-Garcia2

  • 1Department of Biostatistics and Bioinformatics, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, 33612, USA.

BMC Cancer
|July 21, 2019
PubMed
Summary

This study introduces a new method to analyze tumor cell composition using single-cell RNA sequencing (scRNA-seq) data. This approach improves the accuracy of identifying immune cell subtypes in head and neck cancers.

Keywords:
Head and neck cancerReference gene expression profilesSingle-cell RNA-seqTumor-infiltrating lymphocyte

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Area of Science:

  • Oncology
  • Genomics
  • Bioinformatics

Background:

  • Single-cell RNA sequencing (scRNA-seq) offers novel insights into complex tumor ecosystems.
  • Traditional bulk tumor analysis overlooks cellular heterogeneity.
  • Abundant gene expression data with clinical outcomes exists but is underutilized for cell composition analysis.

Purpose of the Study:

  • To develop a method for characterizing cell compositions from bulk tumor gene expression.
  • To integrate scRNA-seq derived signatures for improved deconvolution.
  • To validate the method using head and neck cancer datasets.

Main Methods:

  • Derived a reference expression matrix for each cell type from identified head and neck cancer cell subpopulations.
  • Integrated scRNA-seq signatures with bulk tumor gene expression data.
  • Compared the performance of the new method against existing gene panels and reference matrices.

Main Results:

  • The developed scheme effectively characterizes cell compositions from bulk tumor data.
  • scRNA-seq derived reference matrices demonstrated superior performance in distinguishing immune cell subtypes compared to existing methods.
  • The approach provides a robust framework for analyzing cellular heterogeneity in tumors.

Conclusions:

  • The study provides resources for enhanced cellular deconvolution in head and neck cancer.
  • The findings facilitate improved profiling of immune infiltration in other solid tumors.
  • The method leverages the expression homogeneity of immune cells for broader applicability.