Jove
Visualize
Contáctanos

Videos de Conceptos Relacionados

Cancer-Critical Genes I: Proto-oncogenes01:33

Cancer-Critical Genes I: Proto-oncogenes

9.3K
Genes usually encode proteins necessary for the proper functioning of a healthy cell. Mutations can often cause changes to the gene expression pattern, thereby altering the phenotype.
When the function of certain critical genes, especially those involved in cell cycle regulation and cell growth signaling cascades, gets disrupted, it upsets the cell cycle progression. Such cells with unchecked cell cycles start proliferating uncontrollably and eventually develop into tumors.
Such genes that act...
9.3K
Cancer-Critical Genes II: Tumor Suppressor Genes01:05

Cancer-Critical Genes II: Tumor Suppressor Genes

8.4K
Genes usually encode proteins necessary for the proper functioning of a healthy cell. Mutations can often cause changes to the gene expression pattern, thereby altering the phenotype.
When the function of certain critical genes, especially those involved in cell cycle regulation and cell growth signaling cascades, gets disrupted, it upsets the cell cycle progression. Such cells with unchecked cell cycles start proliferating uncontrollably and eventually develop into tumors.
Such genes that act...
8.4K
Cancers Originate from Somatic Mutations in a Single Cell02:21

Cancers Originate from Somatic Mutations in a Single Cell

13.3K
Cancer arises from mutations in the critical genes that allow healthy cells to escape cell cycle regulation and acquire the ability to proliferate indefinitely. Though originating from a single mutation event in one of the originator cells, cancer progresses when the mutant cell lines continue to gain more and more mutations, and finally, become malignant. For example, chronic myelogenous leukemia (CML) develops initially as a non-lethal increase in white blood cells, which progressively...
13.3K
The Retinoblastoma Gene01:20

The Retinoblastoma Gene

4.3K
Tumor suppressor genes are normal genes that can slow down cell division, repair DNA mistakes, or program the cells for apoptosis in case of irreparable damage. Hence, they play an essential role in preventing the proliferation of damaged cells.
The first-ever tumor suppressor gene called Rb was identified in retinoblastoma - a rare eye tumor in children. In inherited forms of the disease, a child inherits one defective copy of the Rb gene, which predisposes them to retinoblastoma. However,...
4.3K
Cancer Stem Cells and Tumor Maintenance02:40

Cancer Stem Cells and Tumor Maintenance

5.1K
Early diagnosis and treatment can often cure cancer. However, even with treatment, residual cells called cancer stem cells (CSC) might remain, often causing tumor recurrence. These cancer stem cells possess the potential for self-renewal and multi-lineage differentiation and are often responsible for the therapeutic resistance displayed in most cancers.
Cancer stem cells are thought to originate from tissue-specific normal stem cells or progenitor cells. The normal stem cells usually reside in...
5.1K
Cancer Prevention02:59

Cancer Prevention

6.5K
Several factors can increase the risk of cancer in an individual. About 50% of cancer cases can be prevented by adopting a healthy lifestyle, regular exercise, eating healthy, and following a modest cancer prevention diet. Epidemiological studies have consistently shown that populations with vegetable and fruit-rich diets have reduced the incidence of cancer. On the other hand, populations who have a diet rich in animal fat, red meat, junk food, or high calories are predisposed to cancer.
Some...
6.5K

También podría leer

Artículos Relacionados

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

Ordenar por
Same author

Proper Theory of Magnon Orbital Angular Momentum at Equilibrium.

Physical review letters·2026
Same author

Imaging of a van der Waals spin-orbit torque system using spin ensembles in hBN.

Nature communications·2026
Same author

Fibrinogen was associated with subgingival microbiome in periodontal diseases: a pilot study.

Journal of oral microbiology·2026
Same author

Identification and validation of dyslipidemia and glutamate metabolism-associated gene diagnostic and therapeutic repurposing signature for Acute myocardial infarction patients: insights from integrative bioinformatic and multi-omic studies.

Cytotechnology·2026
Same author

Effects of Exercise on PVAT-Derived Exosomes in the Modulation of Vascular Function in Obese Mice.

Applied biochemistry and biotechnology·2026
Same author

mNGS and IL-5: potential early diagnostic clues for clonorchiasis before eosinophil rise - a case report.

BMC infectious diseases·2026
Same journal

A native sulfur deposit in Gale crater, Mars.

Science (New York, N.Y.)·2026
Same journal

Coordinated demise of harmful algal blooms.

Science (New York, N.Y.)·2026
Same journal

Genetic effects put into context.

Science (New York, N.Y.)·2026
Same journal

Bacteria share proteins to survive antibiotics.

Science (New York, N.Y.)·2026
Same journal

Impacts shaped Earth's first continents.

Science (New York, N.Y.)·2026
Same journal

Erratum for the Report "Covalently bonded single-molecule junctions with stable and reversible photoswitched conductivity" by C. Jia <i>et al</i>.

Science (New York, N.Y.)·2026
Ver todos los artículos relacionados
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

Video Experimental Relacionado

Updated: Oct 18, 2025

Discovery of Driver Genes in Colorectal HT29-derived Cancer Stem-Like Tumorspheres
06:52

Discovery of Driver Genes in Colorectal HT29-derived Cancer Stem-Like Tumorspheres

Published on: July 22, 2020

6.7K

Identificación de las causas del cáncer

Ran Cheng1, Peter K Jackson2

  • 1Department of Biology, Stanford University School of Medicine, Stanford, CA, USA.

Science (New York, N.Y.)
|September 30, 2021
PubMed
Resumen
Este resumen es generado por máquina.

El análisis de las redes de interacción de proteínas ayuda a descubrir nuevos genes que impulsan el cáncer. Esta investigación identifica nuevos factores oncogénicos dentro de estas complejas redes biológicas.

Más Videos Relacionados

Utilizing Functional Genomics Screening to Identify Potentially Novel Drug Targets in Cancer Cell Spheroid Cultures
07:48

Utilizing Functional Genomics Screening to Identify Potentially Novel Drug Targets in Cancer Cell Spheroid Cultures

Published on: December 26, 2016

11.6K
Testing Targeted Therapies in Cancer using Structural DNA Alteration Analysis and Patient-Derived Xenografts
10:27

Testing Targeted Therapies in Cancer using Structural DNA Alteration Analysis and Patient-Derived Xenografts

Published on: July 25, 2020

7.5K

Videos de Experimentos Relacionados

Last Updated: Oct 18, 2025

Discovery of Driver Genes in Colorectal HT29-derived Cancer Stem-Like Tumorspheres
06:52

Discovery of Driver Genes in Colorectal HT29-derived Cancer Stem-Like Tumorspheres

Published on: July 22, 2020

6.7K
Utilizing Functional Genomics Screening to Identify Potentially Novel Drug Targets in Cancer Cell Spheroid Cultures
07:48

Utilizing Functional Genomics Screening to Identify Potentially Novel Drug Targets in Cancer Cell Spheroid Cultures

Published on: December 26, 2016

11.6K
Testing Targeted Therapies in Cancer using Structural DNA Alteration Analysis and Patient-Derived Xenografts
10:27

Testing Targeted Therapies in Cancer using Structural DNA Alteration Analysis and Patient-Derived Xenografts

Published on: July 25, 2020

7.5K

Área de la Ciencia:

  • La bioquímica
  • La genómica
  • Biología del cáncer

Sus antecedentes:

  • Las redes de interacción de proteínas son cruciales para las funciones celulares.
  • La desregulación de estas redes está implicada en el desarrollo del cáncer.
  • La identificación de factores clave es esencial para las terapias dirigidas contra el cáncer.

Objetivo del estudio:

  • Investigar la utilidad del análisis de la red de interacción de proteínas en el descubrimiento de nuevos factores cancerígenos.
  • Identificar factores oncogénicos no reconocidos hasta ahora a través de enfoques basados en redes.

Principales métodos:

  • Construcción y análisis de redes de interacción proteína-proteína.
  • Enfoques bioinformáticos para identificar nodos y vías significativos.
  • Integración de datos genómicos y proteómicos.

Principales resultados:

  • El análisis identificó con éxito varias proteínas previamente desconocidas como potenciales factores oncogénicos.
  • Se destacaron los módulos clave de la red asociados con tipos específicos de cáncer.
  • Validación de los controladores identificados mediante datos experimentales.

Conclusiones:

  • El análisis de la red de interacción de proteínas es una estrategia poderosa para descubrir nuevos factores oncogénicos.
  • Este enfoque puede avanzar significativamente en nuestra comprensión de la biología del cáncer.
  • Los hallazgos pueden allanar el camino para nuevas estrategias diagnósticas y terapéuticas en oncología.