Jove
Visualize
Contáctanos
JoVE
x logofacebook logolinkedin logoyoutube logo
ACERCA DE JoVE
Visión GeneralLiderazgoBlogCentro de Ayuda JoVE
AUTORES
Proceso de PublicaciónConsejo EditorialAlcance y PolíticasRevisión por ParesPreguntas FrecuentesEnviar
BIBLIOTECARIOS
TestimoniosSuscripcionesAccesoRecursosConsejo Asesor de BibliotecasPreguntas Frecuentes
INVESTIGACIÓN
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchivo
EDUCACIÓN
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualCentro de Recursos para ProfesoresSitio de Profesores
Términos y Condiciones de Uso
Política de Privacidad
Políticas

Videos de Conceptos Relacionados

Signal Transduction: Overview01:26

Signal Transduction: Overview

9.3K
Cells respond to many types of information, often through receptor proteins positioned on the membrane. They respond to chemical signals, such as hormones, neurotransmitters, and other signaling molecules, initiating a series of molecular reactions to produce an appropriate response. This is called signal transduction. Cells also coordinate different responses elicited by the same signaling molecule via mediators, allowing molecular cross-talk.
Typically, signal transduction involves three...
9.3K
Ligand Binding Sites02:40

Ligand Binding Sites

13.2K
Proteins are dynamic macromolecules that carry out a wide variety of essential processes; however, the activities of most proteins depend on their interactions with other molecules or ions, known as ligands.
Protein-ligand interactions are quite specific; even though numerous potential ligands surround a cellular protein at any given time, only a particular ligand can bind to that protein. Moreover, a ligand binds only to a dedicated area on the surface of the protein, known as the...
13.2K
Ligand Binding and Linkage00:49

Ligand Binding and Linkage

4.9K
Allosteric proteins have more than one ligand binding site; the binding of a ligand to any of these sites influences the binding of ligands to the other sites. When a protein is allosteric, its binding sites are called coupled or linked.  In the case of enzymes, the site that binds to the substrate is known as the active site and the other site is known as the regulatory site. When a ligand binds to the regulatory site, this leads to conformational changes in the protein that can influence...
4.9K
Interactions Between Signaling Pathways01:19

Interactions Between Signaling Pathways

6.4K
Signaling cascades usually lack linearity. Multiple pathways interact and regulate one another, allowing cells to integrate and respond to diverse environmental stimuli.
Convergence and divergence, and cross-talk between signaling pathways
Two distinct signaling pathways can converge on a single functional unit, which may either be a single protein or a complex of proteins. The response is either functionally distinct or synergistic between the two pathways but different from the response...
6.4K
Overview of Cell Signaling01:23

Overview of Cell Signaling

21.2K
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...
21.2K
Internal Receptors01:31

Internal Receptors

71.0K
Many cellular signals are hydrophilic and therefore cannot pass through the plasma membrane. However, small or hydrophobic signaling molecules can cross the hydrophobic core of the plasma membrane and bind to internal, or intracellular, receptors that reside within the cell. Many mammalian steroid hormones use this mechanism of cell signaling, as does nitric oxide (NO) gas.
71.0K

También podría leer

Artículos Relacionados

Artículos vinculados a este trabajo por autores compartidos, revista y gráfico de citas.

Ordenar por
Same author

Invas: an inversion-aware method for transcriptome assembly.

Nature communications·2026
Same author

High-quality phage assembly from metagenomes with PALACE.

Nature biotechnology·2026
Same author

Glycyrrhetinic Acid-Grafted Glycogen Nanoparticles Mediated Hepatic Delivery of Survivin Antisense Oligonucleotides for Liver Cancer-Targeted Gene Therapy.

ACS omega·2026
Same author

Interpretable spatial multi-omics data integration and dimensionality reduction with SpaMV.

Nature communications·2026
Same author

<i>Asplenium yishuiensis</i> (Aspleniaceae), a New Wintergreen and Medicinal Fern from Northern China, Achieves Freezing Tolerance via a Calcium-Mediated Osmotic Adjustment Pathway.

Plants (Basel, Switzerland)·2026
Same author

Case Report: Local injection of an IL-17 inhibitor successfully treats Acrodermatitis continua of Hallopeau and avoids immune shift.

Frontiers in immunology·2026

Video Experimental Relacionado

Updated: Sep 10, 2025

Using Confocal Analysis of Xenopus laevis to Investigate Modulators of Wnt and Shh Morphogen Gradients
08:10

Using Confocal Analysis of Xenopus laevis to Investigate Modulators of Wnt and Shh Morphogen Gradients

Published on: December 14, 2015

11.5K

Encontrar interacciones ligando-receptor espacialmente variables con el apoyo funcional de los genes posteriores

Shiying Li1, Ruohan Wang1, Sitong Liu1

  • 1Department of Computer Science, City University of Hong Kong, Hong Kong, China.

Nature communications
|August 21, 2025
PubMed
Resumen

SPIDER identifica las interacciones ligando-receptor espacialmente variables (LRIs) mediante el uso de la transcriptómica espacial. Este método revela con precisión los patrones de comunicación célula-célula y su importancia biológica en tejidos complejos.

Más Videos Relacionados

Tracking Drug-induced Changes in Receptor Post-internalization Trafficking by Colocalizational Analysis
07:48

Tracking Drug-induced Changes in Receptor Post-internalization Trafficking by Colocalizational Analysis

Published on: July 3, 2015

8.9K
Detection of Signaling Effector-Complexes Downstream of BMP4 Using in situ PLA, a Proximity Ligation Assay
12:52

Detection of Signaling Effector-Complexes Downstream of BMP4 Using in situ PLA, a Proximity Ligation Assay

Published on: March 3, 2011

31.9K

Videos de Experimentos Relacionados

Last Updated: Sep 10, 2025

Using Confocal Analysis of Xenopus laevis to Investigate Modulators of Wnt and Shh Morphogen Gradients
08:10

Using Confocal Analysis of Xenopus laevis to Investigate Modulators of Wnt and Shh Morphogen Gradients

Published on: December 14, 2015

11.5K
Tracking Drug-induced Changes in Receptor Post-internalization Trafficking by Colocalizational Analysis
07:48

Tracking Drug-induced Changes in Receptor Post-internalization Trafficking by Colocalizational Analysis

Published on: July 3, 2015

8.9K
Detection of Signaling Effector-Complexes Downstream of BMP4 Using in situ PLA, a Proximity Ligation Assay
12:52

Detection of Signaling Effector-Complexes Downstream of BMP4 Using in situ PLA, a Proximity Ligation Assay

Published on: March 3, 2011

31.9K

Área de la Ciencia:

  • La genómica
  • Biología computacional
  • Biología de sistemas

Sus antecedentes:

  • La transcriptómica espacial permite estudiar las interacciones ligando-receptor intercelulares (LRIs) con el contexto espacial.
  • La identificación de IRL espacialmente variables es crucial para comprender la organización y la función de los tejidos.

Objetivo del estudio:

  • Presentar SPIDER, un nuevo marco computacional para la identificación de IRR espacialmente variables con pruebas de activación.
  • Desarrollar un método para perfilar e identificar las señales de interacción espacialmente variable (SVI).

Principales métodos:

  • SPIDER construye interfaces de interacción célula-célula basadas en la capacidad de interacción celular.
  • Emplea múltiples modelos probabilísticos para identificar señales de SVI apoyadas por factores de transcripción aguas abajo.
  • El método se valida utilizando simulaciones y conjuntos de datos reales con resoluciones masivas y de una sola célula.

Principales resultados:

  • SPIDER demuestra una precisión, especificidad y varianza espacial superiores en comparación con los métodos existentes.
  • Los SVI validados muestran autocorrelación espacial y correlación con los genes objetivo aguas abajo en las réplicas biológicas.
  • Los distintos ISV en los conjuntos de datos de ratones resaltan las interacciones de tipo regional e intercelular.

Conclusiones:

  • SPIDER identifica y caracteriza eficazmente las interacciones ligando-receptor variables desde el punto de vista espacial.
  • El marco agrupa a las ISV en patrones, revelando subgrupos basados en la interacción y vías enriquecidas dentro de las regiones de tipo celular.