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Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

The genomes of eukaryotes are punctuated by long stretches of sequence which do not code for proteins or RNAs. Although some of these regions do contain crucial regulatory sequences, the vast majority of this DNA serves no known function. Typically, these regions of the genome are the ones in which the fastest change, in evolutionary terms, is observed, because there is typically little to no selection pressure acting on these regions to preserve their sequences.
In contrast, regions which code...
Gene Conversion02:08

Gene Conversion

Other than maintaining genome stability via DNA repair, homologous recombination plays an important role in diversifying the genome. In fact, the recombination of sequences forms the molecular basis of genomic evolution. Random and non-random permutations of genomic sequences create a library of new amalgamated sequences. These newly formed genomes can determine the fitness and survival of cells. In bacteria, homologous and non-homologous types of recombination lead to the evolution of new...
Cell Specific Gene Expression01:58

Cell Specific Gene Expression

Multicellular organisms contain a variety of structurally and functionally distinct cell types, but the DNA in all the cells originated from the same parent cells. The differences in the cells can be attributed to the differential gene expression. Liver cells, whose functions include detoxification of blood, production of bile to metabolize fats, and synthesis of proteins essential for metabolism, must express a specific set of genes to perform their functions. Gene expression also varies with...
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
Cell Specific Gene Expression01:58

Cell Specific Gene Expression

Multicellular organisms contain a variety of structurally and functionally distinct cell types, but the DNA in all the cells originated from the same parent cells. The differences in the cells can be attributed to the differential gene expression. Liver cells, whose functions include detoxification of blood, production of bile to metabolize fats, and synthesis of proteins essential for metabolism, must express a specific set of genes to perform their functions. Gene expression also varies with...
Diversity in Cell Signaling Responses01:22

Diversity in Cell Signaling Responses

The physiological function of a cell and cellular communication are outcomes of a range of extrinsic signals, intracellular signaling pathways, and cellular responses. No two cell types express the same repertoire of signaling components. Receptors are highly selective for their cognate ligands, but once activated, they can alter multiple cellular processes such as DNA transcription, protein synthesis, and metabolic activity. 
Graded and Abrupt Responses
Some signaling systems generate...

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A High-throughput Cell Microarray Platform for Correlative Analysis of Cell Differentiation and Traction Forces
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細胞形態と遺伝子発現:時間と細胞系における変化と補完性を追跡する

Vanille Lejal1, David Rouquié2, Olivier Taboureau1

  • 1Université Paris Cité, Inserm U1133, CNRS UMR 8251, Paris, France.

Toxicology and applied pharmacology
|August 22, 2025
PubMed
まとめ

細胞塗装とL1000のデータは 化学的曝露が細胞構造と遺伝子発現を 変化させる様子を明らかにしています これらの補完的な方法は,形態学的変化と分子効果を結びつけることで,薬の発見を向上させます.

キーワード:
CDK阻害剤セルラインセル塗装化学リスク評価HDAC 阻害剤L1000 について時間の曝露

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Mapping the Emergent Spatial Organization of Mammalian Cells using Micropatterns and Quantitative Imaging
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Author Spotlight: Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons
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Author Spotlight: Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons

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関連する実験動画

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Author Spotlight: Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons
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科学分野:

  • 化学生物学
  • ゲノミクス
  • 細胞イメージング

背景:

  • 薬の発見には標的の知識,機能分析,マルチオミックスのデータを統合する必要があります.
  • 細胞形態と遺伝子発現の化学的変化の間の相互作用は,時間とともに,細胞系全体でよく理解されていません.

研究 の 目的:

  • 細胞形態の変化 (細胞塗装) と化学物質への曝露後の遺伝子発現の緩和 (L1000) の関係を調査する.
  • 異なる細胞系と時間点の関係を探るため

主な方法:

  • U2OS,A549,MCF7の細胞系における106の化合物のセル塗装とL1000データを分析した.
  • 関連性を特定するために,加重遺伝子共同発現ネットワーク分析 (WGCNA) と濃縮分析を使用した.

主要な成果:

  • 細胞の構造組織における時間と細胞系特異性の有意な差異が,セルペインティングによって観察された.
  • トランスクリプトミックの反応は,形態学的変化と比較して,より少ない変動を示した.
  • 同様の生物学的作用を持つ化合物 (例えば,HDACとCDK阻害剤) の細胞形態と遺伝子解消の間のリンクを特定した.

結論:

  • 細胞塗装は 化学物質への細胞反応の 明確なパターンを提供します
  • 細胞塗装とL1000のデータは,化合物の効果に関する補完的な洞察を提供します.
  • これらの統合されたアプローチは,フェノタイプと分子変化を結びつけることで,薬剤発見と化学リスク評価を改善することができます.