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Related Concept Videos

RNA-seq03:21

RNA-seq

9.8K
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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Ribosome Profiling02:24

Ribosome Profiling

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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...
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Regulated mRNA Transport02:22

Regulated mRNA Transport

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In eukaryotes, transcription and translation are compartmentalized; an mRNA is first synthesized in the nucleus and then selectively transported to the cytoplasm for protein synthesis. Before transport, a pre-mRNA undergoes several steps of post-transcriptional modifications including splicing, 5' capping, and the addition of a poly-adenine tail. Various proteins bind to the pre-mRNA during these modifications. The mRNA transport takes place with the help of multiple proteins playing...
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Technical Advances and Applications of Spatial Transcriptomics.

Guohao Liang1, Hong Yin1, Fangyuan Ding2

  • 1Department of Biomedical Engineering, University of California, Irvine, Irvine, California, USA.

GEN Biotechnology
|November 15, 2024
PubMed
Summary
This summary is machine-generated.

Spatial transcriptomics reveals RNA

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Area of Science:

  • Molecular Biology
  • Genomics
  • Cell Biology

Background:

  • Transcriptomics traditionally focuses on RNA expression levels.
  • Recent research highlights the critical role of RNA spatial context in biological processes.
  • Understanding RNA localization is key from subcellular to tissue levels.

Purpose of the Study:

  • To systematically review and compare current spatial transcriptomics techniques.
  • To elucidate the methods, advantages, and limitations of these technologies.
  • To showcase diverse applications across biological investigations.

Main Methods:

  • Review and comparative analysis of existing spatial transcriptomics methodologies.
  • Examination of techniques for mapping RNA molecules in their native spatial context.
  • Assessment of data analysis and interpretation strategies.

Main Results:

  • Spatial transcriptomics techniques enable mapping RNA positional patterns.
  • These methods offer insights into subcellular, cellular, and tissue-level organization.
  • Diverse applications span from fundamental research to disease studies (e.g., tumor microenvironment).

Conclusions:

  • Spatial transcriptomics is an indispensable tool for understanding biological systems.
  • The review provides a comprehensive guide for researchers adopting these technologies.
  • This field is rapidly advancing, offering unprecedented resolution in biological insights.