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RNA-seq03:21

RNA-seq

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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...
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Comprehensive Spatial Profiling of Species-agnostic Transcriptomes via Stereo-seq
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Tomo-seq: A method to obtain genome-wide expression data with spatial resolution.

F Kruse1, J P Junker1, A van Oudenaarden1

  • 1Hubrecht Institute and University Medical Centre Utrecht, Utrecht, The Netherlands.

Methods in Cell Biology
|July 23, 2016
PubMed
Summary
This summary is machine-generated.

Tomo-seq combines RNA sequencing with cryosectioning to provide spatial gene expression data. This novel technique offers genome-wide insights into pattern formation during development and disease.

Keywords:
EmbryoGene expressionPatterningRNA-seqZebrafish

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Area of Science:

  • Developmental Biology
  • Genomics
  • Molecular Biology

Background:

  • Understanding pattern formation in development and disease requires identifying novel regulators and pathways.
  • RNA sequencing provides genome-wide expression data but lacks spatial resolution.
  • In situ hybridization offers spatial resolution but is limited to a few genes.

Purpose of the Study:

  • To introduce tomo-seq, a technique combining genome-wide expression analysis with spatial information.
  • To overcome the limitations of existing methods for studying gene expression patterns.

Main Methods:

  • Tomo-seq involves cryosectioning of embryos or tissues.
  • RNA sequencing is performed on individual cryosections.
  • This generates transcriptomic data with high spatial resolution.

Main Results:

  • The study successfully generated genome-wide transcriptomics with high spatial resolution.
  • Applications include studying zebrafish embryo development and adult zebrafish hearts after injury.
  • Data from Junker et al. (2014) and Wu et al. (2016) demonstrate the technique's utility.

Conclusions:

  • Tomo-seq offers a powerful approach to analyze spatial gene expression patterns.
  • It enhances the understanding of developmental processes and disease mechanisms.
  • This technique bridges the gap between genome-wide data and spatial context.