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

Ribosome Profiling02:24

Ribosome Profiling

4.0K
Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique...
4.0K
What is Gene Expression?01:36

What is Gene Expression?

10.8K
A gene is a stretch of DNA that serves as the blueprint for functional RNAs and proteins. Since DNA is comprised  of nucleotides and proteins are comprised of amino acids, a mediator is required to convert the information encoded in DNA into proteins. This mediator is the messenger RNA (mRNA). mRNA copies the blueprint from DNA by a process called transcription. In eukaryotes, transcription occurs in the nucleus by complementary base-pairing with the DNA template. The mRNA is then...
10.8K
What is Gene Expression?01:42

What is Gene Expression?

194.0K
Overview
Gene expression is the process in which DNA directs the synthesis of functional products, that is, proteins. Cells can regulate gene expression at various stages. It allows organisms to generate different cell types and enables cells to adapt to internal and external factors.
Genetic Information Flows from DNA to RNA to Protein
A gene is a stretch of DNA that serves as the blueprint for functional RNAs and proteins. Since DNA is made up of nucleotides and proteins consist of amino...
194.0K
Gene Regulation During Sporulation01:17

Gene Regulation During Sporulation

402
Sporulation is a complex developmental process that allows certain Gram-positive bacteria, such as Bacillus subtilis and Clostridium species, to survive extreme environmental conditions. This process is tightly regulated by a series of signaling cascades and transcriptional controls, ensuring the formation of a highly resistant endospore.Sporulation is triggered by unfavorable conditions, such as nutrient depletion, and is governed by a phosphorelay system. One of the sensor kinases, such as...
402
General Transcription Factors01:30

General Transcription Factors

6.6K
Tissue-specific transcription factors contribute to diverse cellular functions in mammals. For example, the gene for beta globin, a major component of hemoglobin, is present in all cells of the body. However, it is only expressed in red blood cells because the transcription factors that can bind to the promoter sequences of the beta globin gene are only expressed in these cells. Tissue-specific transcription factors also ensure that mutations in these factors may impair only the function of...
6.6K
Regulation of Expression at Multiple Steps01:23

Regulation of Expression at Multiple Steps

1.3K
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...
1.3K

También podría leer

Artículos Relacionados

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

Ordenar por
Same author

Set1-dependent H3K4 methylation is essential for sustained gene expression at newly activated loci.

Molecules and cells·2025
Same author

PhoU interaction with the PhoR PAS domain is required for repression of the pho regulon and Salmonella virulence, but not for polyphosphate accumulation.

Journal of microbiology (Seoul, Korea)·2025
Same author

Phosphatase regulation in cell division: With emphasis on PP2A-B56.

Molecules and cells·2025
Same author

Set1 is a critical transcriptional regulator in response to external signals in Candida albicans.

Nucleic acids research·2025
Same author

Ctr9 promotes virulence of <i>Candida albicans</i> by regulating methionine metabolism.

Virulence·2024
Same author

N-terminal acetylation of Set1-COMPASS fine-tunes H3K4 methylation patterns.

Science advances·2024

Video Experimental Relacionado

Updated: Jan 8, 2026

Measuring mRNA Levels Over Time During the Yeast S. cerevisiae Hypoxic Response
09:45

Measuring mRNA Levels Over Time During the Yeast S. cerevisiae Hypoxic Response

Published on: August 10, 2017

8.6K

Análisis Transcriptómico Global Identifica Programas de Expresión Génica Regulados por el Factor α en Levadura

Soojin Yeom1,2,3,4, Jung-Shin Lee1,2

  • 1Department of Molecular Bioscience, College of Biomedical Science, Kangwon National University, Chuncheon 24341, Republic of Korea.

Journal of microbiology and biotechnology
|December 21, 2025
PubMed
Resumen

Este estudio revela cambios en la expresión génica a nivel genómico en células de levadura que responden a la feromona alfa. Identifica cientos de genes involucrados en el apareamiento, la remodelación de la pared celular y la regulación del ciclo celular.

Palabras clave:
Saccharomyces cerevisiaearresto del ciclo celularremodelación de la cromatinaseñalización de feromonasfactor α

Más Videos Relacionados

Genome-wide Profiling of Transcription Factor-DNA Binding Interactions in Candida albicans: A Comprehensive CUT&RUN Method and Data Analysis Workflow
07:48

Genome-wide Profiling of Transcription Factor-DNA Binding Interactions in Candida albicans: A Comprehensive CUT&RUN Method and Data Analysis Workflow

Published on: April 1, 2022

4.6K
Temporal Quantification of MAPK Induced Expression in Single Yeast Cells
07:59

Temporal Quantification of MAPK Induced Expression in Single Yeast Cells

Published on: October 4, 2013

8.9K

Videos de Experimentos Relacionados

Last Updated: Jan 8, 2026

Measuring mRNA Levels Over Time During the Yeast S. cerevisiae Hypoxic Response
09:45

Measuring mRNA Levels Over Time During the Yeast S. cerevisiae Hypoxic Response

Published on: August 10, 2017

8.6K
Genome-wide Profiling of Transcription Factor-DNA Binding Interactions in Candida albicans: A Comprehensive CUT&RUN Method and Data Analysis Workflow
07:48

Genome-wide Profiling of Transcription Factor-DNA Binding Interactions in Candida albicans: A Comprehensive CUT&RUN Method and Data Analysis Workflow

Published on: April 1, 2022

4.6K
Temporal Quantification of MAPK Induced Expression in Single Yeast Cells
07:59

Temporal Quantification of MAPK Induced Expression in Single Yeast Cells

Published on: October 4, 2013

8.9K

Área de la Ciencia:

  • Biología Molecular
  • Genética de Levaduras
  • Señalización Celular

Sus antecedentes:

  • La feromona alfa de levadura induce una cascada de señalización en células haploides "a".
  • Las respuestas fisiológicas conocidas incluyen la detención del ciclo celular G1, el crecimiento polarizado (formación de shmoo) y la fusión celular.
  • Anteriormente, faltaba un análisis transcripcional completo a nivel genómico.

Objetivo del estudio:

  • Realizar un análisis a nivel genómico de los cambios transcripcionales en células de levadura de tipo de apareamiento "a" tratadas con alfa-factor.
  • Identificar genes expresados diferencialmente (DEGs) en respuesta a la señalización de feromonas.
  • Proporcionar un recurso para comprender las respuestas de apareamiento en levaduras.

Principales métodos:

  • Se empleó la secuenciación de ARN (RNA-seq) para perfilar la expresión génica.
  • Se trataron células de levadura de tipo de apareamiento "a" con alfa-factor.
  • Se utilizó el análisis de ontología génica (GO) para interpretar el enriquecimiento funcional de los DEGs.

Principales resultados:

  • Identificó 957 genes expresados diferencialmente (DEGs): 448 regulados al alza y 509 regulados a la baja.
  • Los genes regulados al alza se enriquecen en la señalización de feromonas, la biogénesis de la pared celular y la regulación de la forma celular.
  • Los genes regulados a la baja se asocian con la progresión del ciclo celular, la remodelación de la cromatina y la organización de nucleosomas.

Conclusiones:

  • El estudio proporciona un valioso conjunto de datos de genes de levadura que responden a feromonas.
  • Se identificaron nuevos genes candidatos involucrados en las respuestas de apareamiento.
  • Los hallazgos ofrecen información sobre la coordinación de la regulación transcripcional y la dinámica de la cromatina durante la señalización de feromonas en levaduras.