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Cancers Originate from Somatic Mutations in a Single Cell02:21

Cancers Originate from Somatic Mutations in a Single Cell

Cancer arises from mutations in the critical genes that allow healthy cells to escape cell cycle regulation and acquire the ability to proliferate indefinitely. Though originating from a single mutation event in one of the originator cells, cancer progresses when the mutant cell lines continue to gain more and more mutations, and finally, become malignant. For example, chronic myelogenous leukemia (CML) develops initially as a non-lethal increase in white blood cells, which progressively...
Cancers Originate from Somatic Mutations in a Single Cell02:21

Cancers Originate from Somatic Mutations in a Single Cell

Cancer arises from mutations in the critical genes that allow healthy cells to escape cell cycle regulation and acquire the ability to proliferate indefinitely. Though originating from a single mutation event in one of the originator cells, cancer progresses when the mutant cell lines continue to gain more and more mutations, and finally, become malignant. For example, chronic myelogenous leukemia (CML) develops initially as a non-lethal increase in white blood cells, which progressively...
Tumor Progression02:07

Tumor Progression

Tumor progression is a phenomenon where the pre-formed tumor acquires successive mutations to become clinically more aggressive and malignant. In the 1950s, Foulds first described the stepwise progression of cancer cells through successive stages.
Colon cancer is one of the best-documented examples of tumor progression. Early mutation in the APC gene in colon cells causes a small growth on the colon wall called a polyp. With time, this polyp grows into a benign, pre-cancerous tumor. Further...
Tumor Progression02:07

Tumor Progression

Tumor progression is a phenomenon where the pre-formed tumor acquires successive mutations to become clinically more aggressive and malignant. In the 1950s, Foulds first described the stepwise progression of cancer cells through successive stages.
Colon cancer is one of the best-documented examples of tumor progression. Early mutation in the APC gene in colon cells causes a small growth on the colon wall called a polyp. With time, this polyp grows into a benign, pre-cancerous tumor. Further...

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Global and Current Research Trends of Single-Cell Sequencing in Cancer: A Bibliometric and Visualization Study
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単細胞配列解析によって推論された腫瘍の進化.

Nicholas Navin1, Jude Kendall, Jennifer Troge

  • 1Cold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724, USA.

Nature
|March 15, 2011
PubMed
まとめ
この要約は機械生成です。

この研究では,個々の細胞におけるゲノム複製数の変動を正確に分析するために単核配列化を導入しています. この方法は,異なるクローンサブ集団と断続的な腫瘍の進化を明らかにし,がんの進行に関する新しい洞察を提供します.

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Detection of Copy Number Alterations Using Single Cell Sequencing
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Optimized Preparation of Whole Murine Tumor-Bearing Lung Tissue for Flow Cytometry and Single-Cell RNA-Sequencing
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Global and Current Research Trends of Single-Cell Sequencing in Cancer: A Bibliometric and Visualization Study
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Global and Current Research Trends of Single-Cell Sequencing in Cancer: A Bibliometric and Visualization Study

Published on: April 18, 2025

Detection of Copy Number Alterations Using Single Cell Sequencing
09:45

Detection of Copy Number Alterations Using Single Cell Sequencing

Published on: February 17, 2017

Optimized Preparation of Whole Murine Tumor-Bearing Lung Tissue for Flow Cytometry and Single-Cell RNA-Sequencing
06:44

Optimized Preparation of Whole Murine Tumor-Bearing Lung Tissue for Flow Cytometry and Single-Cell RNA-Sequencing

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科学分野:

  • ゲノミクスゲノミクスとは
  • がん生物学 がん生物学
  • 進化生物学の進化生物学について

背景:

  • ゲノム解析は病気を理解するために不可欠ですが,現在の方法は,特に異質な腫瘍では,混合細胞集団と闘っています.
  • 腫瘍の遺伝的異質性は,進化の歴史を覆い,癌の進行に関する洞察を制限する.

研究 の 目的:

  • 個々の細胞内の正確なゲノム複製数の定量化のための単核配列決定法を開発し,適用する.
  • 腫瘍の集団構造とヒト乳がんの進化動態を調査する.

主な方法:

  • フローソートされた核,全ゲノム増幅,次世代配列解析を用いた.
  • 単核配列を適用し,単細胞レベルでコピー数の変動を分析した.
  • 2人のヒト乳がん症例を調査し,それぞれから100個の単細胞を分析した.

主要な成果:

  • 単一の核における精確に定量化されたゲノムコピー数,混合細胞集団の解明.
  • 多遺伝子性乳腺腫瘍の3つの異なるクローンサブ集団を特定し,連続的な拡大を示唆した.
  • 単一のクローン拡張が単一ゲノム腫瘍に転移を引き起こし,豊富な非転移性偽二倍体細胞が特定されました.

結論:

  • 単核配列解析は,腫瘍の異質性と進化を解剖するための強力なツールです.
  • 腫瘍の成長は,漸進的な進行ではなく,断続的なクローン膨張によって起こります.
  • 異なるクローン構造と,乳がんにおける遺伝的に多様な細胞の新しいサブ集団を特定した.