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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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Next-generation Sequencing03:00

Next-generation Sequencing

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The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features....
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Updated: Jun 28, 2025

An Ultrahigh-throughput Microfluidic Platform for Single-cell Genome Sequencing
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Seq-Scope Protocol: Repurposing Illumina Sequencing Flow Cells for High-Resolution Spatial Transcriptomics.

Yongsung Kim1, Weiqiu Cheng2, Chun-Seok Cho1

  • 1Department of Molecular & Integrative Physiology, University of Michigan Medical School.

Biorxiv : the Preprint Server for Biology
|April 15, 2024
PubMed
Summary
This summary is machine-generated.

Seq-Scope technology offers high-resolution spatial transcriptome analysis by repurposing Illumina sequencing. This method overcomes limitations of existing spatial transcriptomics (ST) tools for molecular biology and histology research.

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Area of Science:

  • Molecular Biology
  • Genomics
  • Histopathology

Background:

  • Spatial transcriptomics (ST) advances gene expression studies but faces limitations like low resolution and high cost.
  • Traditional methods (e.g., immunostaining) analyze limited genes, hindering comprehensive transcriptome profiling.
  • Existing ST techniques struggle with scalability, cost, and complex methodologies.

Conclusions:

  • Seq-Scope repurposes Illumina sequencing for advanced spatial transcriptomics, overcoming key limitations.
  • The detailed protocol and computational pipeline facilitate high-resolution spatial analysis across diverse tissues.
  • Seq-Scope is an invaluable tool for molecular biology and histology research.