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

Protein Networks02:26

Protein Networks

4.5K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.5K
Personal Identity01:25

Personal Identity

364
Personal identity is the deeply felt sense of self that individuals cultivate over time, intricately woven from intrinsic qualities they consider essential to their existence—qualities such as morality, intelligence, and friendliness. These attributes serve as vital internal benchmarks, guiding individuals in evaluating whether their actions resonate with their true selves.When personal identity takes center stage in one's life, individuals often emphasize their distinctiveness,...
364
Trigonometric Identities II01:28

Trigonometric Identities II

415
Double-angle and half-angle trigonometric identities are derived from the fundamental sum and difference formulas and serve as essential tools for simplifying expressions, solving equations, and evaluating integrals. These identities reduce the complexity of trigonometric functions by relating functions of a multiple or fractional angle to functions of a single angle. Their applications extend across mathematics, physics, and engineering, particularly in Fourier analysis, wave mechanics, and...
415
Social Identity01:29

Social Identity

270
Social identity constitutes a significant aspect of an individual’s self-concept, shaped by membership in various social groups, including gender, nationality, ethnicity, sexual orientation, and political affiliation. Individuals associate specific traits with particular social groups, leading to internalization of these traits. For example, musicians are often perceived as creative, while women are frequently associated with nurturing tendencies. Once individuals identify with a...
270
Trigonometric Identities I01:27

Trigonometric Identities I

233
Trigonometric identities are equations that relate trigonometric functions and hold for all angles within their domains. A fundamental identity among these is the Pythagorean identity, which arises directly from the geometry of the unit circle. For any angle θ, a point on the unit circle has coordinates (cos⁡ θ, sin ⁡θ), and since the radius of the circle is one, the Pythagorean Theorem gives:This identity serves as the basis for deriving additional identities.
233
Marcia's Theory of Identity Status01:26

Marcia's Theory of Identity Status

1.6K
James Marcia's identity status model provides a framework for understanding how adolescents navigate identity formation through varying degrees of exploration and commitment. Marcia's model builds on Erik Erikson's theories of psychosocial development, focusing specifically on how adolescents reconcile individual aspirations with societal expectations. His model describes identity formation as a dynamic process where adolescents move between different states depending on their level...
1.6K

También podría leer

Artículos Relacionados

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

Ordenar por
Same author

Invariant nonequilibrium dynamics in gene regulation optimize information flow.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

Searching for sequence features that control DNA cyclizability.

PNAS nexus·2026
Same author

The FlEye camera: Sampling the joint distribution of natural scenes and motion.

Physical review. E·2026
Same author

Long-term evolution of regulatory DNA sequences. Part 1: simulations on global, biophysically-realistic genotype-phenotype maps.

Current opinion in genetics & development·2026
Same author

Long-term evolution of regulatory DNA sequences. Part 2: theory and future challenges.

Current opinion in genetics & development·2026
Same author

FISH-Dist: An Automated Pipeline for 3D Genomic Spatial Distance Quantification in FISH Imaging.

Bioengineering (Basel, Switzerland)·2026

Video Experimental Relacionado

Updated: Jan 29, 2026

Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays
14:06

Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays

Published on: November 12, 2012

47.0K

Decodificación óptima de las identidades celulares en una red genética

Mariela D Petkova1, Gašper Tkačik2, William Bialek3

  • 1Joseph Henry Laboratories of Physics and the Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544, USA; Program in Biophysics, Harvard University, Cambridge, MA 02138, USA.

Cell
|February 5, 2019
PubMed
Resumen

El desarrollo temprano del embrión de la mosca especifica con precisión la identidad celular utilizando niveles de expresión génica. Este estudio revela una estrategia de decodificación óptima para las redes de genes de brecha, logrando una precisión del 1% en la información posicional al comienzo del desarrollo.

Palabras clave:
Las Drosophiladestino de la célulaEspecificación de las celdasPrecisión del desarrolloel patrón embrionarioRedes genéticasóptimalidadImágenes cuantitativas

Más Videos Relacionados

Decoding Natural Behavior from Neuroethological Embedding
08:00

Decoding Natural Behavior from Neuroethological Embedding

Published on: October 3, 2025

683
Behavioral Tasks for Examining Identity Recognition In Mice
06:58

Behavioral Tasks for Examining Identity Recognition In Mice

Published on: February 7, 2025

1.2K

Videos de Experimentos Relacionados

Last Updated: Jan 29, 2026

Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays
14:06

Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays

Published on: November 12, 2012

47.0K
Decoding Natural Behavior from Neuroethological Embedding
08:00

Decoding Natural Behavior from Neuroethological Embedding

Published on: October 3, 2025

683
Behavioral Tasks for Examining Identity Recognition In Mice
06:58

Behavioral Tasks for Examining Identity Recognition In Mice

Published on: February 7, 2025

1.2K

Área de la Ciencia:

  • Biología del desarrollo
  • Biología de los sistemas
  • La genética

Sus antecedentes:

  • La identidad celular en los organismos en desarrollo está vinculada a los niveles de expresión génica.
  • Las pruebas cuantitativas requieren un marco teórico para la especificación de células.
  • La red de genes de brecha en los primeros embriones de mosca es un sistema modelo.

Objetivo del estudio:

  • Desarrollar un marco teórico para la evaluación cuantitativa de la especificación celular.
  • Para decodificar los niveles de expresión génica en información posicional precisa.
  • Para probar la potencia óptima y predictiva de la estrategia de decodificación.

Principales métodos:

  • Utilizó la red de genes de brecha en los primeros embriones de mosca.
  • Desarrolló un marco teórico para decodificar los niveles de expresión génica.
  • Análisis cuantitativo de los niveles de expresión de cuatro genes de brecha.

Principales resultados:

  • Los niveles de expresión de cuatro genes gap se pueden decodificar para especificar la posición con un 1% de precisión.
  • El decodificador predice con precisión patrones de expresión de reglas de pares a través del tiempo de desarrollo y en antecedentes mutantes.
  • Las identidades celulares precisas se establecen en las primeras etapas del desarrollo.

Conclusiones:

  • Los potenciadores del desarrollo se aproximan a una estrategia de decodificación matemáticamente óptima.
  • La información de posición está disponible con alta precisión en el desarrollo temprano.
  • Desafía la visión de un refinamiento lento de la información posicional a través de capas de patrones.