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Videos de Conceptos Relacionados

What is Gene Expression?01:42

What is Gene Expression?

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...
What is Gene Expression?01:42

What is Gene Expression?

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...
RNA-seq03:21

RNA-seq

RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while microarray-based...
Reporter Genes02:11

Reporter Genes

Reporter genes are a type of protein-coding gene that are often tagged to a gene of interest. Once inside a target cell, reporter genes usually produce visually identifiable characteristics like fluorescence and luminescence when expressed along with the gene of interest. Thus, reporter genes “report” the presence or absence of genes of interest in an organism, determine the gene expression pattern, or track the physical location of a DNA segment or protein in the cell.
Commonly used reporter...
Ribosome Profiling02:24

Ribosome Profiling

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 helps...
What is Gene Expression?01:36

What is Gene Expression?

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 processed and...

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Video Experimental Relacionado

Updated: Jul 1, 2026

Identification of Key Factors Regulating Self-renewal and Differentiation in EML Hematopoietic Precursor Cells by RNA-sequencing Analysis
12:44

Identification of Key Factors Regulating Self-renewal and Differentiation in EML Hematopoietic Precursor Cells by RNA-sequencing Analysis

Published on: November 11, 2014

Predicción de la expresión génica a partir de la secuencia.

Michael A Beer1, Saeed Tavazoie

  • 1Lewis-Sigler Institute for Integrative Genomics and Department of Molecular Biology, Princeton University, Princeton, NJ 08544, USA.

Cell
|April 16, 2004
PubMed
Resumen
Este resumen es generado por máquina.

Este estudio introduce un método de todo el genoma para decodificar las reglas de expresión génica, prediciendo con precisión los patrones de genes mediante el análisis de secuencias de ADN y elementos reguladores. El enfoque revela una lógica compleja que rige la regulación génica en levaduras y gusanos.

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Videos de Experimentos Relacionados

Last Updated: Jul 1, 2026

Identification of Key Factors Regulating Self-renewal and Differentiation in EML Hematopoietic Precursor Cells by RNA-sequencing Analysis
12:44

Identification of Key Factors Regulating Self-renewal and Differentiation in EML Hematopoietic Precursor Cells by RNA-sequencing Analysis

Published on: November 11, 2014

Exploring Sequence Space to Identify Binding Sites for Regulatory RNA-Binding Proteins
11:34

Exploring Sequence Space to Identify Binding Sites for Regulatory RNA-Binding Proteins

Published on: August 9, 2019

A Bioinformatics Pipeline for Investigating Molecular Evolution and Gene Expression using RNA-seq
07:09

A Bioinformatics Pipeline for Investigating Molecular Evolution and Gene Expression using RNA-seq

Published on: May 28, 2021

Área de la Ciencia:

  • Genómica y Biología de Sistemas.
  • Biología computacional y bioinformática.

Sus antecedentes:

  • La expresión génica está regulada por códigos combinatorios complejos que involucran elementos de la secuencia de ADN.
  • Comprender estas reglas reguladoras es crucial para descifrar el comportamiento y la función celular.

Objetivo del estudio:

  • Desarrollar y aplicar un enfoque sistemático de todo el genoma para el aprendizaje del código regulador genético combinatorio.
  • Identificar los elementos de la secuencia de ADN y sus restricciones que dictan la regulación transcripcional dependiente del contexto.
  • Para predecir patrones de expresión génica utilizando reglas de regulación inferidas.

Principales métodos:

  • Se empleó un enfoque probabilístico de todo el genoma para identificar elementos de secuencia de ADN locales.
  • El análisis se centró en las restricciones posicionales y combinatorias de estos elementos en la regulación transcripcional.
  • Los datos de expresión de microarrays y las secuencias de genes aguas arriba se utilizaron para el modelado de predicción.

Principales resultados:

  • Las reglas reguladoras inferidas lograron una precisión del 73% en la predicción de patrones de expresión génica en Saccharomyces cerevisiae.
  • El sistema identificó elementos regulatorios predictivos y reglas combinatorias que rigen la expresión génica temporal en Caenorhabditis elegans.
  • Se requería una lógica compleja (Y, O, NO) con restricciones sobre la fuerza, orientación y posición del motivo para una predicción exitosa.

Conclusiones:

  • Este enfoque sistemático descifra con éxito el código combinatorio de la expresión génica.
  • El marco proporciona un modelo predictivo para comprender la regulación génica a partir de la secuencia genómica.
  • Genera numerosas hipótesis para la validación experimental, avanzando el estudio de la dinámica celular.