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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...
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Genome Size and the Evolution of New Genes

While every living organism has a genome of some kind (be it RNA, or DNA), there is considerable variation in the sizes of these blueprints. One major factor that impacts genome size is whether the organism is prokaryotic or eukaryotic. In prokaryotes, the genome contains little to no non-coding sequence, such that genes are tightly clustered in groups or operons sequentially along the chromosome. Conversely, the genes in eukaryotes are punctuated by long stretches of non-coding sequence.
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Identification of Key Factors Regulating Self-renewal and Differentiation in EML Hematopoietic Precursor Cells by RNA-sequencing Analysis
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Comentario sobre "Diferencias generalizadas de secuencias de ARN y ADN en el transcriptoma humano"

Joseph K Pickrell1, Yoav Gilad, Jonathan K Pritchard

  • 1Department of Human Genetics, University of Chicago, Chicago, IL 60637, USA. pickrell@uchicago.edu

Science (New York, N.Y.)
|March 17, 2012
PubMed
Resumen

Los errores técnicos, no la regulación genética, probablemente explican más de 10.000 desajustes en la secuencia de ARN-ADN. Nuestro análisis indica que los artefactos como los errores de mapeo y la variación genética explican la mayoría de las discrepancias encontradas en los estudios de expresión génica.

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Área de la Ciencia:

  • Biología Molecular Biología Molecular
  • La genómica es la genómica.
  • La bioinformática es la bioinformática.

Sus antecedentes:

  • Estudios recientes reportaron numerosos desajustes en las secuencias de ARN mensajero (ARNm) y ADN.
  • Estas discrepancias se atribuyeron inicialmente a nuevos mecanismos de regulación génica.

Objetivo del estudio:

  • Para reevaluar la causa de las discrepancias de secuencias de ARNm-ADN reportadas.
  • Determinar en qué medida los artefactos técnicos contribuyen a estas diferencias observadas.

Principales métodos:

  • Análisis de secuenciación de lectura de mapeo a un genoma de referencia.
  • Evaluación de las tasas de error de secuenciación.
  • Evaluación de la variación genética dentro de los individuos.

Principales resultados:

  • Al menos el 88% de las >10.000 discrepancias de ARNm-ADN reportadas pueden atribuirse a artefactos técnicos.
  • Los artefactos clave identificados incluyen errores de mapeo de lectura, errores de secuenciación y variación genética.

Conclusiones:

  • La mayoría de los desajustes de secuencias de ARNm-ADN reportados anteriormente se deben probablemente a limitaciones técnicas, no a una nueva regulación génica.
  • Revisar las tuberías de análisis de datos es crucial para la interpretación precisa de los estudios de expresión génica y regulación.