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

Cooperative Binding of Transcription Regulators02:13

Cooperative Binding of Transcription Regulators

6.5K
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...
6.5K
Combinatorial Gene Control02:33

Combinatorial Gene Control

8.4K
Combinatorial gene control is the synergistic action of several transcriptional factors to regulate the expression of a single gene. The absence of one or more of these factors may lead to a significant difference in the level of gene expression or repression.
The expression of more than 30,000 genes is controlled by approximately 2000-3000 transcription factors. This is possible because a single transcription factor can recognize more than one regulatory sequence. The specificity in gene...
8.4K
Operon Model01:23

Operon Model

110
The operon model represents a fundamental mechanism of gene regulation in prokaryotes, enabling coordinated expression of genes involved in related metabolic or functional pathways. Operons consist of structural genes, a promoter, and an operator, with transcription regulated by repressors, activators, and small effector molecules.Structure and Function of OperonsAn operon is a cluster of structural genes transcribed together under the control of a single promoter. The promoter region...
110
Regulation of Expression at Multiple Steps01:23

Regulation of Expression at Multiple Steps

994
The gene expression in cells is regulated at different stages: (i) transcription, (ii) RNA processing, (iii) RNA localization, and (iv) translation. Transcriptional regulation is mediated by regulatory proteins such as transcription factors, activators, or repressors—these control gene expression by initiating or inhibiting the transcription of genes. Once a precursor or pre-mRNA is produced, it undergoes post-transcriptional modification, including 5' capping, splicing, and the...
994
Inducible Operons: lac Operon01:25

Inducible Operons: lac Operon

129
The lac operon in Escherichia coli is a model for understanding inducible gene regulation and metabolic flexibility. It integrates local control by lactose and global regulation through catabolite repression, enabling E. coli to preferentially metabolize glucose when available and switch to lactose utilization when glucose is scarce.Structure and Function of the lac OperonThe lac operon contains three structural genes: lacZ (β-galactosidase), lacY (lactose permease), and lacA...
129
Cis-regulatory Sequences02:02

Cis-regulatory Sequences

10.1K
Cis-regulatory sequences are short fragments of non-coding DNA that are present on the same chromosomes as the genes that they regulate. These fragments serve as binding sites for transcriptional regulators, proteins that are responsible for controlling gene transcription and differential gene expression across cell types in eukaryotes. Cis-regulatory sequences can be close to the gene of interest or thousands of bases away in the DNA sequence; however, those sequences that are further away are...
10.1K

También podría leer

Artículos Relacionados

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

Ordenar por
Same author

Promiscuous RNA binding by WDR5 remodels the KMT2A (MLL1) histone methyltransferase complex to an inactive state.

bioRxiv : the preprint server for biology·2026
Same author

Discovering a low-dimensional temperature control architecture across animals.

Scientific reports·2026
Same author

GCAD: A Computational Framework for Mammalian Genetic Program Computer-Aided Design.

ACS synthetic biology·2026
Same author

Electroencephalography differences in children with and without bilateral cerebral palsy during unimanual and bimanual drumming tasks.

Frontiers in human neuroscience·2026
Same author

Glyceraldehyde-3-phosphate dehydrogenase homologs as bifunctional gatekeepers of metabolic segregation in <i><i>Pseudomonas</i> putida</i>.

Proceedings of the National Academy of Sciences of the United States of America·2025
Same author

<i>Diplolaimelloides woaabi</i> sp. n. (Nematoda: Monhysteridae): A Novel Species of Free-Living Nematode from the Great Salt Lake, Utah.

Journal of nematology·2025

Video Experimental Relacionado

Updated: Sep 9, 2025

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

2.3K

Indistinguiblidad práctica en un problema de inferencia de red de regulación génica, un estudio de caso

Cody E FitzGerald, Shelley Reich, Victor Agaba

    ArXiv
    |September 5, 2025
    PubMed
    Resumen

    Este estudio destaca los desafíos en el modelado de la biología computacional. Identificamos una red reguladora común en el desarrollo de nematodos comparando miles de modelos, revelando interacciones genéticas clave.

    Más Videos Relacionados

    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

    46.6K
    Applying an Inducible Expression System to Study Interference of Bacterial Virulence Factors with Intracellular Signaling
    08:51

    Applying an Inducible Expression System to Study Interference of Bacterial Virulence Factors with Intracellular Signaling

    Published on: June 25, 2015

    9.3K

    Videos de Experimentos Relacionados

    Last Updated: Sep 9, 2025

    Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
    10:44

    Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

    Published on: December 7, 2021

    2.3K
    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

    46.6K
    Applying an Inducible Expression System to Study Interference of Bacterial Virulence Factors with Intracellular Signaling
    08:51

    Applying an Inducible Expression System to Study Interference of Bacterial Virulence Factors with Intracellular Signaling

    Published on: June 25, 2015

    9.3K

    Área de la Ciencia:

    • Biología computacional
    • Biología de sistemas
    • Biología del desarrollo

    Sus antecedentes:

    • El análisis de datos biológicos se enfrenta al ruido, las mediciones limitadas y los estados no observados.
    • El desarrollo de modelos introduce incertidumbre, lo que lleva a múltiples estructuras competidoras.
    • La selección de modelos y la comparación entre estructuras están subutilizadas en la biología matemática.

    Objetivo del estudio:

    • Abordar la necesidad de analizar la incertidumbre estructural en el modelado biológico.
    • Para inferir conocimientos mecanicistas de los datos biológicos utilizando un marco de modelado robusto.
    • Identificar las características reguladoras clave y las estructuras de red respaldadas por datos experimentales.

    Principales métodos:

    • Realizó un metanálisis de las publicaciones de biología matemática para evaluar las prácticas de modelado.
    • Desarrolló y comparó 13.824 modelos de redes reguladoras distintas para el desarrollo de nematodos.
    • Se utilizaron datos biológicos reales en tres condiciones experimentales para la evaluación del modelo.

    Principales resultados:

    • Identificó un conjunto común de características regulatorias apoyadas en condiciones experimentales.
    • Descubrió una estructura de red reguladora conservada aplicable en todas las condiciones.
    • Los modelos más adecuados indicaron una alta regulación positiva y interconectividad entre los reguladores clave (eud-1, sult-1, nhr-40).

    Conclusiones:

    • El marco de modelado desarrollado infiere efectivamente estructuras de red regulatorias a partir de datos biológicos.
    • La red reguladora identificada proporciona información mecanicista sobre el desarrollo de nematodos.
    • Los retos y el marco son ampliamente aplicables a diversas disciplinas científicas que requieren análisis de datos complejos.