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

CRISPR01:59

CRISPR

58.3K
Genome editing technologies allow scientists to modify an organism’s DNA via the addition, removal, or rearrangement of genetic material at specific genomic locations. These types of techniques could potentially be used to cure genetic disorders such as hemophilia and sickle cell anemia. One popular and widely used DNA-editing research tool that could lead to safe and effective cures for genetic disorders is the CRISPR-Cas9 system. CRISPR-Cas9 stands for Clustered Regularly Interspaced...
58.3K
Homologous Recombination02:31

Homologous Recombination

64.4K
The basic reaction of homologous recombination (HR) involves two chromatids that contain DNA sequences sharing a significant stretch of identity. One of these sequences uses a strand from another as a template to synthesize DNA in an enzyme-catalyzed reaction. The final product is a novel amalgamation of the two substrates. To ensure an accurate recombination of sequences, HR is restricted to the S and G2 phases of the cell cycle. At these stages, the DNA has been replicated already and the...
64.4K
CRISPR/Cas9 Genome Editing01:28

CRISPR/Cas9 Genome Editing

2.2K
The CRISPR-Cas system serves as a bacterial defense mechanism against invading genetic elements such as viruses and plasmids, forming the foundation for its adaptation as a powerful genome-editing tool. Originally discovered in prokaryotes, this system has been repurposed to revolutionize genetic engineering across a wide range of organisms, including plants, animals, and humans. The core component, Cas9, is an endonuclease derived from Streptococcus pyogenes, capable of introducing...
2.2K
CRISPR and crRNAs02:53

CRISPR and crRNAs

19.4K
Bacteria and archaea are susceptible to viral infections just like eukaryotes; therefore, they have developed a unique adaptive immune system to protect themselves. Clustered regularly interspaced short palindromic repeats and CRISPR-associated proteins (CRISPR-Cas) are present in more than 45% of known bacteria and 90% of known archaea.
The CRISPR-Cas system stores a copy of foreign DNA in the host genome and uses it to identify the foreign DNA upon reinfection. CRISPR-Cas has three different...
19.4K
Conservative Site-specific Recombination and Phase Variation02:53

Conservative Site-specific Recombination and Phase Variation

7.0K
Because the DNA segments are cut and reorganized in a direction-specific manner, site-specific recombination has emerged as an efficient genetic engineering technique. Flippase and Cyclization recombinases or Flp and Cre, respectively, are two members of the tyrosine recombinase family derived from bacteriophages, that are used to mediate site-specific DNA insertions, deletions, and targeted expression of proteins in mammalian cell lines.
The recognition sites for Cre recombinase called LoxP...
7.0K
Cooperative Binding of Transcription Regulators02:13

Cooperative Binding of Transcription Regulators

7.4K
Transcriptional regulators bind to specific cis-regulatory sequences in the DNA to regulate gene transcription. These cis-regulatory sequences are very short, usually less than ten nucleotide pairs in length. The short length means that there is a high probability of the exact same sequence randomly occurring throughout the genome.  Since regulators can also bind to groups of similar sequences, this further increases the chances of random binding. Transcriptional regulators form...
7.4K

También podría leer

Artículos Relacionados

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

Ordenar por
Same author

Stochastic modeling of epigenetic memory.

NPJ systems biology and applications·2026
Same author

What problem do you hope bioengineering or synthetic biology approaches will enable us to tackle in the next decade?

Cell systems·2026
Same author

Reversing transgene silencing via targeted chromatin editing.

bioRxiv : the preprint server for biology·2025
Same author

Coclique level structure for stochastic chemical reaction networks.

Journal of mathematical biology·2025
Same author

Epigenetic memory: The role of the crosstalk between histone modifications and DNA methylation.

Computational and structural biotechnology journal·2025
Same author

Analog epigenetic memory revealed by targeted chromatin editing.

Cell genomics·2025

Video Experimental Relacionado

Updated: Mar 2, 2026

Gene Digital Circuits Based on CRISPR-Cas Systems and Anti-CRISPR Proteins
10:46

Gene Digital Circuits Based on CRISPR-Cas Systems and Anti-CRISPR Proteins

Published on: October 18, 2022

2.3K

Activación génica mediada por CRISPR: la competencia por recursos da forma a la regulación

Krishna Manoj Aravind1, Domitilla Del Vecchio2

  • 1Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.

Cell systems
|February 28, 2026
PubMed
Resumen

Los sistemas de activación génica CRISPR (CRISPRa) enfrentan desafíos de escalabilidad debido a la interferencia del ARN guía y la represión inesperada. Un nuevo modelo ayuda a optimizar CRISPRa multigénico para un mejor rango dinámico y diseño.

Palabras clave:
activación génica mediada por CRISPRCRISPRadependencia del contextoregulación génicamodularidadmodelo de red de reaccióncompetencia por recursosbiología sintéticabiología de sistemas

Más Videos Relacionados

Genome-Wide CRISPR Screen for Unveiling Radiosensitive and Radioresistant Genes
08:32

Genome-Wide CRISPR Screen for Unveiling Radiosensitive and Radioresistant Genes

Published on: May 23, 2025

1.3K
Dissection of Enhancer Function Using Multiplex CRISPR-based Enhancer Interference in Cell Lines
10:46

Dissection of Enhancer Function Using Multiplex CRISPR-based Enhancer Interference in Cell Lines

Published on: June 2, 2018

9.9K

Videos de Experimentos Relacionados

Last Updated: Mar 2, 2026

Gene Digital Circuits Based on CRISPR-Cas Systems and Anti-CRISPR Proteins
10:46

Gene Digital Circuits Based on CRISPR-Cas Systems and Anti-CRISPR Proteins

Published on: October 18, 2022

2.3K
Genome-Wide CRISPR Screen for Unveiling Radiosensitive and Radioresistant Genes
08:32

Genome-Wide CRISPR Screen for Unveiling Radiosensitive and Radioresistant Genes

Published on: May 23, 2025

1.3K
Dissection of Enhancer Function Using Multiplex CRISPR-based Enhancer Interference in Cell Lines
10:46

Dissection of Enhancer Function Using Multiplex CRISPR-based Enhancer Interference in Cell Lines

Published on: June 2, 2018

9.9K

Área de la Ciencia:

  • Biología Molecular
  • Biología Sintética
  • Bioingeniería

Sus antecedentes:

  • La activación génica mediada por CRISPR (CRISPRa) permite el control transcripcional simultáneo de múltiples genes, crucial para el cribado, la bioproducción y la terapéutica.
  • El sistema se basa en ARN guía (ARNg) para reclutar dCas9 y proteínas activadoras a genes diana, ofreciendo especificidad de secuencia.

Objetivo del estudio:

  • Investigar las limitaciones en la optimización del sistema CRISPRa, específicamente en lo que respecta al control multigénico.
  • Comprender y modelar la interferencia y los comportamientos no lineales observados en los sistemas CRISPRa.

Principales métodos:

  • Se desarrolló un modelo de red de reacción química para capturar las interacciones entre ARNg, dCas9 y proteínas activadoras.
  • Se analizó el impacto de la concentración de ARNg en la activación génica, identificando un comportamiento bifásico.
  • Se utilizó el modelo para mejorar el rango dinámico de los sistemas CRISPRa con múltiples ARNg.

Principales resultados:

  • Se demostró que diferentes ARN guía interfieren al competir por componentes compartidos (dCas9, proteína activadora), rompiendo la modularidad del sistema.
  • Se descubrió una respuesta de activación génica bifásica donde niveles más altos de ARN guía pueden conducir a la represión del objetivo.
  • Se mostró la efectividad del modelo para mejorar el rango dinámico y permitir el diseño sistemático de sistemas CRISPRa.

Conclusiones:

  • Los sistemas CRISPRa exhiben menos modularidad y escalabilidad de lo supuesto anteriormente debido a la competencia de componentes y respuestas no lineales.
  • El modelo de red de reacción química desarrollado proporciona una herramienta predictiva para optimizar aplicaciones CRISPRa complejas con múltiples ARNg.
  • Este trabajo facilita un diseño más robusto y eficiente de herramientas de biología sintética basadas en CRISPRa.