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関連する概念動画

Intralumenal Vesicles and Multivesicular Bodies01:38

Intralumenal Vesicles and Multivesicular Bodies

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Intraluminal vesicles (ILVs) are small vesicles 50-80 nm in diameter formed during the maturation of early endosomes. A specialized endosome containing numerous ILVs is called a multivesicular body (MVB). ILVs contain internalized molecules such as antigens, nucleic acids, proteins, and metabolites. Some of these molecules are released from the MVBs inside exosomes and are transported to other cells. Other MVBs contain molecules that are retained in the ILVs and are later degraded within the...
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Overview of Exosomes01:36

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Exosomes are stable, lipid bilayer-enclosed vesicles capable of crossing biological barriers. They can carry a wide range of molecules required for intercellular communication. Once exosomes are released from the cell where they originated, they enter a recipient cell through various pathways such as fusion, receptor-mediated endocytosis, macropinocytosis, and phagocytosis.
Stahl et al. discovered exosomes in 1983, but the exosomes were initially considered waste products released from the...
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Subviral Agents01:29

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Subviral agents are infectious entities that resemble viruses but lack one or more viral components, such as a capsid or essential replication machinery. These agents include viroids, prions, and satellites, each possessing distinct structural and functional characteristics that influence their mode of infection and replication.Viroids are the simplest subviral agents, consisting of circular, single-stranded RNA molecules without a protein coat. They exclusively infect plants, relying entirely...
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Receptor-mediated Endocytosis01:20

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Receptor-mediated endocytosis is when bulk amounts of specific molecules are imported into a cell after binding to cell surface receptors. The molecules bound to these receptors are taken into the cell through inward folding of the cell surface membrane, which is eventually pinched off into a vesicle within the cell. Structural proteins, such as clathrin, coat the budding vesicle.
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Intracellular bacteria and viruses often comprise a group of highly infectious pathogens that can cause several diseases. Bacterial pathogens include those belonging to the genus Rickettsia responsible for conditions such as rocky mountain spotted fever and the Mediterranean spotted fever; Chlamydia, a genus responsible for a sexually transmitted disease; Coxiella burnetii, an agent responsible for Q fever. Viral pathogens include vaccinia—a poxvirus, and herpes simplex virus—a...
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Updated: Feb 19, 2026

Direct Stochastic Optical Reconstruction Microscopy of Extracellular Vesicles in Three Dimensions
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人工知能 仮想細胞外小胞 (AIVEVs)

Han Liu1,2,3, Shiyu Li4, Jian Wang5,6

  • 1Institute of Translational Medicine, Shanghai University, Shanghai, 200444, China.

Bioactive materials
|February 18, 2026
PubMed
まとめ
この要約は機械生成です。

人工知能の仮想細胞 (AIVC) とAIの仮想細胞外膀 (AIVEV) は,細胞と膀の行動をシミュレーションするための強力なデジタルモデルを提供します. このアプローチは,細胞間通信研究を改善するために,細胞外膀ベースの診断と治療法の開発を加速します.

キーワード:
人工知能 (AI) は,人工知能 (AI) を利用する.デジタルモデル デジタルモデル デジタルモデル細胞外小胞は,細胞外小胞である.仮想セル 仮想セル仮想細胞外ベジクル

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Characterizing Extracellular Vesicles from Biological Fluids
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関連する実験動画

Last Updated: Feb 19, 2026

Direct Stochastic Optical Reconstruction Microscopy of Extracellular Vesicles in Three Dimensions
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Characterization of Immune Cell-derived Extracellular Vesicles and Studying Functional Impact on Cell Environment
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Characterizing Extracellular Vesicles from Biological Fluids
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科学分野:

  • バイオテクノロジー バイオテクノロジー
  • コンピュータ生物学 コンピュータ生物学
  • 人工知能 (AI) とは,人工知能 (AI) のことです.

背景:

  • 人工知能 (AI) は,AI仮想細胞 (AIVC) の作成,シミュレーションと予測のための生物学的細胞のデジタル複製を可能にしました.
  • 細胞外膀 (EVs) は細胞間通信に不可欠であり,その研究には高度なモデリング技術が必要である.

研究 の 目的:

  • AIVCをEV生物学と統合することにより,AI仮想EV (AIVEV) の概念を導入する.
  • 知識主導とデータ主導のアプローチを使用して,AIVEVを構築するための方法を概説します.
  • EVの研究,診断,治療の進歩におけるAIVEVの潜在能力を探求する.

主な方法:

  • AIVCおよびAIVEVの建設方法論の体系的なレビュー.
  • EVバイオゲネシス,貨物分類,細胞間通信をシミュレートするためのマルチオミックスのデータの統合.
  • in silico予測と実験的検証のためのクローズドループのワークフローの開発.

主要な成果:

  • AIVEVは,EVの組成を予測し,細胞の通信パターンを分析することができます.
  • AIVCは,病的な仮想細胞の診断アトラスを生成し,膀の起源を追跡することができます.
  • 提案されたフレームワークは,コンピューティングモデリングから実験的検証へのシームレスな移行を促進します.

結論:

  • AIVEVは,細胞間通信のモデリングにおける重要な進歩を表しています.
  • この技術は,EVベースの診断と治療の開発を加速することを約束しています.
  • AIVEVは,細胞間通信研究と臨床応用の分野に革命を起こそうとしている.