Jove
Visualize
お問い合わせ

関連する概念動画

Cell Specific Gene Expression01:58

Cell Specific Gene Expression

16.2K
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...
16.2K
Cell Specific Gene Expression01:58

Cell Specific Gene Expression

5.4K
5.4K
Diversity in Cell Signaling Responses01:22

Diversity in Cell Signaling Responses

7.7K
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...
7.7K
Overview of Cell Signaling01:23

Overview of Cell Signaling

24.1K
Despite the protective membrane that separates a cell from the environment, cells need the ability to detect and respond to environmental changes. Additionally, cells often need to communicate with one another. Unicellular and multicellular organisms use a variety of cell signaling mechanisms to communicate with the environment.
Cells respond to many types of information, often through receptor proteins positioned on the membrane. For example, skin cells respond to and transmit touch...
24.1K
Cell Signaling Feedback Loops01:07

Cell Signaling Feedback Loops

7.2K
Positive and negative feedback loops are crucial for regulating biological signaling systems. These feedback loops are processes that connect output signals to their inputs.
Negative feedback loops
Most signaling systems have negative feedback loops that can perform different functions such as output limiter, and adaptation.
Output limiter
Upon receiving an input signal, the cellular response rapidly increases until a threshold is reached. Beyond this threshold, a negative feedback loop...
7.2K
Chromatin Modification in iPS Cells01:32

Chromatin Modification in iPS Cells

2.1K
Chromatin modification alters gene expression; therefore, scientists can add histone-modifying enzymes, histone variants, and chromatin remodeling complexes to somatic cells to aid reprogramming into pluripotent stem (iPS) cells.
Compact chromatin makes reprogramming difficult. Enzymes, such as histone demethylases and acetyltransferases, are often added during reprogramming to loosen the chromatin, making the DNA more accessible to transcription factors. Molecules that inhibit histone...
2.1K

こちらも読む

関連記事

共著者、ジャーナル、引用グラフによってこの研究に関連する記事。

並び替え
Same author

Functionalized Magnetic Carbon Nanoparticles Efficiently Break Water-in-Heavy Oil Emulsions.

Materials (Basel, Switzerland)·2026
Same author

[Prenatal diagnosis and genetics analysis of a fetus with type 27 intellectual disability syndrome due to variant of SRRM2 gene].

Zhonghua yi xue yi chuan xue za zhi = Zhonghua yixue yichuanxue zazhi = Chinese journal of medical genetics·2026
Same author

GGDA-net: geometry-guided deformable attention network for Alzheimer's disease image classification.

Frontiers in neuroscience·2026
Same author

Persistent Benefits of Early Gestational Chenodeoxycholic Acid Supplementation on Late Pregnancy in Sows Via Sustained Modulation of the Gut-Metabolism Axis.

The Journal of nutrition·2026
Same author

Multiscale learning of gene network-driven phenotypic dynamics of single cells.

Molecular systems biology·2026
Same author

DNA-Targeted Sonodynamic Activation Enhances Antibacterial Efficacy in Deep and Hypoxic Infections.

Journal of the American Chemical Society·2026
Same journal

Gaining biological insights through supervised data visualization.

Nature computational science·2026
Same journal

The inequalities of GPU access.

Nature computational science·2026
Same journal

Social technologies need societal alignment.

Nature computational science·2026
Same journal

The Quantum Optimization Benchmarking Library.

Nature computational science·2026
Same journal

Setting benchmarks for practical quantum utility of combinatorial optimization.

Nature computational science·2026
Same journal

Evidence of scaling advantage on an NP-complete problem with enhanced quantum solvers.

Nature computational science·2026
関連記事をすべて見る
JoVE
x logofacebook logolinkedin logoyoutube logo
JoVEについて
概要リーダーシップブログJoVEヘルプセンター
著者向け
出版プロセス編集委員会範囲と方針査読よくある質問投稿
図書館員向け
推薦の声購読アクセスリソース図書館諮問委員会よくある質問
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experimentsアーカイブ
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教員リソースセンター教員サイト
利用規約
プライバシーポリシー
ポリシー

関連する実験動画

Updated: Jan 13, 2026

Real-time Analysis of Transcription Factor Binding, Transcription, Translation, and Turnover to Display Global Events During Cellular Activation
12:54

Real-time Analysis of Transcription Factor Binding, Transcription, Translation, and Turnover to Display Global Events During Cellular Activation

Published on: March 7, 2018

14.0K

空間的トランスクリプトミクスによって駆動される細胞状態遷移を解読する

Lulu Yan1, Dongyan Zhang1, Xiaoqiang Sun2,3

  • 1School of Mathematics, Sun Yat-sen University, Guangzhou, China.

Nature computational science
|January 6, 2026
PubMed
まとめ
この要約は機械生成です。

細胞間コミュニケーションによって駆動される細胞運命遷移をマッピングする新しい方法であるCCCveloを開発しました。このアプローチは時空間ダイナミクスを再構築し、コミュニケーションがどのように発生と疾患を調整するかを明らかにします。

キーワード:
細胞間コミュニケーション空間的トランスクリプトミクス細胞運命計算生物学発生生物学癌生物学

さらに関連する動画

An Optogenetic Method to Control and Analyze Gene Expression Patterns in Cell-to-cell Interactions
07:59

An Optogenetic Method to Control and Analyze Gene Expression Patterns in Cell-to-cell Interactions

Published on: March 22, 2018

8.1K
Mining Spatial Transcriptomics Datasets using DeepSpaceDB
10:16

Mining Spatial Transcriptomics Datasets using DeepSpaceDB

Published on: September 5, 2025

641

関連する実験動画

Last Updated: Jan 13, 2026

Real-time Analysis of Transcription Factor Binding, Transcription, Translation, and Turnover to Display Global Events During Cellular Activation
12:54

Real-time Analysis of Transcription Factor Binding, Transcription, Translation, and Turnover to Display Global Events During Cellular Activation

Published on: March 7, 2018

14.0K
An Optogenetic Method to Control and Analyze Gene Expression Patterns in Cell-to-cell Interactions
07:59

An Optogenetic Method to Control and Analyze Gene Expression Patterns in Cell-to-cell Interactions

Published on: March 22, 2018

8.1K
Mining Spatial Transcriptomics Datasets using DeepSpaceDB
10:16

Mining Spatial Transcriptomics Datasets using DeepSpaceDB

Published on: September 5, 2025

641

科学分野:

  • 計算生物学
  • ゲノミクス
  • 発生生物学

背景:

  • 細胞運命決定は、複雑な細胞内および細胞間シグナル伝達に依存しています。
  • 空間的トランスクリプトミクス（ST）はこれらのプロセスに関する洞察を提供しますが、細胞間コミュニケーション（CCC）によって駆動される細胞状態遷移（CST）のモデリングは困難です。

研究 の 目的:

  • CCC駆動型のCSTダイナミクスを再構築するための新しい計算フレームワークであるCCCveloを導入すること。
  • 細胞間シグナル伝達勾配と細胞内転写因子カスケードを統合して、遺伝子発現ダイナミクスをモデル化すること。

主な方法:

  • 統一的なマルチスケール非線形動的モデルであるCCCveloを開発しました。
  • パラメータ最適化と擬時間順序付けのための物理情報ニューラルネットワーク共同進化学習アルゴリズムであるPINN-CELLを考案しました。
  • CCCveloをマウス皮質、胚発生、およびヒト前立腺癌の高解像度STデータセットに適用しました。

主要な成果:

  • CCCveloは、既知の形態形成軌道を正常に再構築しました。
  • この方法は、CST進行中の動的なCCCシグナル再配線を明らかにしました。
  • CCCによって制御される細胞状態遷移の時空間ダイナミクスの推定能力を実証しました。

結論:

  • CCCveloは、CCC駆動型の細胞運命決定を理解するための強力なツールを提供します。
  • このフレームワークは、発生および疾患研究のための空間的トランスクリプトミクスデータの分析を進歩させます。
  • 細胞状態遷移を調整する上で、動的なシグナル伝達ネットワーク再配線の重要性を強調しています。