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Somatic to iPS Cell Reprogramming01:29

Somatic to iPS Cell Reprogramming

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Reprogramming alters the gene expression in somatic cells, transforming them into induced pluripotent stem (iPS) cells over several generations. Scientists can reprogram cells by introducing genes for four transcription factors—Oct4, Sox2, Klf4, and c-Myc (OSKM) by viral or non-viral methods. These factors are also known as Yamanaka factors after Shinya Yamanaka, who first generated iPS cells using mouse skin cells. Yamanaka was awarded the Nobel Prize in Physiology or Medicine in 2012...
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Maintenance of the ES Cell State01:14

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The cells of the blastocyst inner cell mass only remain pluripotent for a short time. This state of pluripotency and self-renewal can be maintained in embryonic stem (ES) cell culture by adding specific chemicals or growth factors to ensure the cells can continue dividing and later differentiate into different cell types. In some cases, the cells are grown on a feeder layer of differentiated cells, which provides the growth factors and extracellular matrix components necessary for stem cell...
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Nuclear reprogramming is a process of transforming one cell type into an unrelated cell type by epigenetic changes that alter the cell’s original gene expression pattern. Such epigenetic changes force cells to express a different set of genes, which play a significant role in inducing transformation into other cell types. Nuclear reprogramming offers applications in reproductive cloning for livestock propagation and regenerative medicine — developing patient-specific cells for...
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Combinatorial Gene Control02:33

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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.
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Transcription Factors02:16

Transcription Factors

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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...
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Video Experimental Relacionado

Updated: Apr 28, 2026

A Simple Method to Identify Kinases That Regulate Embryonic Stem Cell Pluripotency by High-throughput Inhibitor Screening
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Definición de un programa de factor de transcripción esencial para la pluripotencia ingenua.

S-J Dunn1, G Martello2, B Yordanov1

  • 1Computational Science Laboratory, Microsoft Research, Cambridge, CB1 2FB, UK.

Science (New York, N.Y.)
|June 7, 2014
PubMed
Resumen
Este resumen es generado por máquina.

Los científicos descubrieron un modelo de computación molecular simple que explica la auto-renovación y diferenciación de las células madre embrionarias (CE). Esta red mínima de regulación génica simplifica el comportamiento complejo de las células, ayudando a la investigación futura de células madre.

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Área de la Ciencia:

  • * Biología del desarrollo.
  • * Biología Computacional.
  • * Biología de Sistemas Biología de Sistemas

Sus antecedentes:

  • * Las células madre embrionarias pluripotentes (ES) poseen una compleja red reguladora de genes que gobierna la autorrenovación y la diferenciación.
  • * El circuito molecular preciso y el programa ejecutivo que controla estos destinos celulares siguen siendo incompletamente entendidos.

Objetivo del estudio:

  • * Desarrollar un enfoque computacional restringido a los datos para simplificar y comprender los circuitos reguladores de genes de células ES.
  • * Identificar un conjunto mínimo de componentes e interacciones suficientes para explicar el comportamiento de las células ES.

Principales métodos:

  • * Empleó una estrategia computacional restringida por datos para modelar redes reguladoras de genes.
  • * Reducción de la complejidad de la red para identificar componentes e interacciones esenciales.
  • * Valida el modelo con respecto a las especificaciones conocidas de auto-renovación de las células ES y las respuestas previstas a las perturbaciones genéticas.

Principales resultados:

  • * Se derivó un modelo de red de regulación genética mínima para el comportamiento de las células ES, que comprende 16 interacciones y 12 componentes.
  • * El modelo explica con éxito las propiedades de auto-renovación establecidas de las células ES.
  • * Predijo respuestas novedosas y contraintuitivas a perturbaciones genéticas con una precisión del 70%.

Conclusiones:

  • * La propagación de la identidad celular ES se rige por un cálculo molecular relativamente simple, no por un extenso interactoma.
  • * Este modelo simplificado proporciona un poderoso marco para comprender y predecir las decisiones del destino de las células madre.