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Related Concept Videos

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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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
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Multiplexed Single Cell mRNA Sequencing Analysis of Mouse Embryonic Cells
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ZipSeq: barcoding for real-time mapping of single cell transcriptomes.

Kenneth H Hu1, John P Eichorst1,2, Chris S McGinnis3

  • 1Department of Pathology, University of California San Francisco, San Francisco, CA, USA.

Nature Methods
|July 8, 2020
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Summary
This summary is machine-generated.

ZipSeq enables real-time spatial transcriptomics in live tissues by printing unique barcodes onto cells. This new method reveals novel gene expression patterns linked to tissue structures, advancing our understanding of biological processes.

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Area of Science:

  • Molecular Biology
  • Genomics
  • Cell Biology

Background:

  • Spatial transcriptomics integrates gene expression with cellular location.
  • Existing methods for live tissue analysis have limitations.

Purpose of the Study:

  • To develop a novel method for real-time spatial transcriptomics in live tissues.
  • To map gene expression patterns in relation to histological structures.

Main Methods:

  • Developed ZipSeq, utilizing patterned illumination and photocaged oligonucleotides.
  • Serially printed unique barcodes ('zipcodes') onto live cells in intact tissues.
  • Applied ZipSeq to in vitro wound healing, lymph node sections, and tumor microenvironments.

Main Results:

  • Discovered novel gene expression patterns associated with histological structures across all tested settings.
  • Revealed myeloid and T cell differentiation trajectories within the tumor microenvironment.
  • Demonstrated ZipSeq's scalability for comprehensive live tissue mapping.

Conclusions:

  • ZipSeq offers a powerful tool for real-time, high-resolution spatial transcriptomics in live biological systems.
  • The method facilitates the discovery of spatially resolved gene expression dynamics.
  • ZipSeq provides a pathway for complete mapping of live tissues, enabling further imaging and perturbation studies.