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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 Movement of Viruses and Bacteria01:10

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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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Video Experimental Relacionado

Updated: Feb 19, 2026

Direct Stochastic Optical Reconstruction Microscopy of Extracellular Vesicles in Three Dimensions
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Direct Stochastic Optical Reconstruction Microscopy of Extracellular Vesicles in Three Dimensions

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Vesículas Extracelulares Virtuales de Inteligencia Artificial (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
Resumen
Este resumen es generado por máquina.

Las células virtuales de inteligencia artificial (AIVC) y las vesículas extracelulares virtuales de inteligencia artificial (AIVEVs) ofrecen potentes modelos digitales para simular el comportamiento de células y vesículas. Este enfoque acelera el desarrollo de diagnósticos y terapéuticas basados en vesículas extracelulares para mejorar la investigación de la comunicación intercelular.

Palabras clave:
Inteligencia artificialModelo digitalVesículas extracelularesCélulas virtualesVesículas extracelulares virtuales

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Área de la Ciencia:

  • Biotecnología
  • Biología Computacional
  • Inteligencia Artificial

Sus antecedentes:

  • La inteligencia artificial (IA) ha permitido la creación de células virtuales de IA (AIVCs), réplicas digitales de células biológicas para simulación y predicción.
  • Las vesículas extracelulares (VE) son cruciales para la comunicación intercelular, lo que requiere técnicas de modelado avanzadas para su estudio.

Objetivo del estudio:

  • Introducir el concepto de VE virtuales de IA (AIVEVs) integrando AIVCs con la biología de las VE.
  • Esbozar métodos para la construcción de AIVEVs utilizando enfoques basados en el conocimiento y basados en datos.
  • Explorar el potencial de las AIVEVs para avanzar en la investigación, el diagnóstico y la terapéutica de las VE.

Principales métodos:

  • Revisión sistemática de las metodologías de construcción de AIVC y AIVEV.
  • Integración de datos multiómicos para simular la biogénesis de VE, la clasificación de carga y la comunicación intercelular.
  • Desarrollo de un flujo de trabajo de circuito cerrado para la predicción in silico y la validación experimental.

Principales resultados:

  • Las AIVEVs pueden predecir la composición de las VE y analizar patrones de comunicación celular.
  • Las AIVCs pueden generar atlas diagnósticos de células virtuales patológicas y rastrear el origen de las vesículas.
  • El marco propuesto facilita una transición fluida del modelado computacional a la validación experimental.

Conclusiones:

  • Las AIVEVs representan un avance significativo en el modelado de la comunicación intercelular.
  • Esta tecnología promete acelerar el desarrollo de diagnósticos y tratamientos basados en VE.
  • Las AIVEVs están preparadas para revolucionar el campo de la investigación de la comunicación intercelular y las aplicaciones clínicas.