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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 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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DNA Microarrays02:34

DNA Microarrays

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Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...
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Related Experiment Video

Updated: Apr 20, 2026

Identification of Key Factors Regulating Self-renewal and Differentiation in EML Hematopoietic Precursor Cells by RNA-sequencing Analysis
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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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A highly sensitive and accurate gene expression analysis by sequencing ("bead-seq") for a single cell.

Hiroko Matsunaga1, Mari Goto1, Koji Arikawa1

  • 1Hitachi Central Research Laboratory, Kokubunji-shi, Tokyo 185-8601, Japan.

Analytical Biochemistry
|December 3, 2014
PubMed
Summary

A new bead-based sequencing method (bead-seq) offers highly sensitive and accurate whole gene expression profiling for single cells. This technique improves reproducibility and quantitative accuracy compared to traditional methods.

Keywords:
Gene expressionSingle cellmRNA-seq

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Area of Science:

  • Molecular Biology
  • Genomics
  • Biotechnology

Background:

  • Single-cell gene expression analysis is crucial for understanding complex biological processes.
  • Existing methods face challenges in sensitivity, accuracy, and reproducibility.
  • Minimizing biases during sample preparation is essential for reliable results.

Purpose of the Study:

  • To introduce a novel, highly sensitive, and accurate sequencing-based method for single-cell gene expression profiling.
  • To enhance the reproducibility and quantitative accuracy of single-cell analyses.
  • To minimize biases introduced during sample preparation and sequencing.

Main Methods:

  • Development of a bead-based complementary DNA (cDNA) library for single-cell sequencing (bead-seq).
  • Incorporation of washing steps using magnetic beads to remove residual reagents.
  • Careful evaluation of error sources, focusing on critical early steps in the workflow.

Main Results:

  • Bead-seq enables the acquisition of whole gene expression profiles from individual cells.
  • The method demonstrates superior reproducibility and quantitative accuracy over conventional techniques.
  • Reduced biases during sample preparation and sequencing were observed.

Conclusions:

  • Bead-seq represents a significant advancement in single-cell gene expression analysis.
  • The method's design, particularly the use of magnetic beads and washing steps, optimizes sample preparation.
  • Bead-seq offers a more reliable and accurate approach for detailed biological investigations at the single-cell level.