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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.
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The technique...
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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.
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Related Experiment Video

Updated: Jul 11, 2025

Author Spotlight: AQRNA-seq Role in Mapping Small RNAs and Unraveling Protein Translation Mechanisms
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Author Spotlight: AQRNA-seq Role in Mapping Small RNAs and Unraveling Protein Translation Mechanisms

Published on: February 2, 2024

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Single-Cell RNA Sequencing Technology Landscape in 2023.

Hui-Qi Qu1, Charlly Kao1, Hakon Hakonarson1,2,3,4,5

  • 1The Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PAUSA.

Stem Cells (Dayton, Ohio)
|November 7, 2023
PubMed
Summary

Single-cell RNA sequencing (scRNA-seq) and single-nucleus RNA sequencing (snRNA-seq) reveal cellular heterogeneity and gene expression dynamics. Advances in scRNA-seq technologies promise deeper insights into biology and disease for better therapeutics.

Keywords:
cellular heterogeneitygene expressionsingle-cell RNA sequencingsingle-nucleus RNA sequencingtranscriptomics

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Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues
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Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

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Area of Science:

  • Genomics
  • Molecular Biology
  • Stem Cell Biology

Background:

  • Single-cell RNA sequencing (scRNA-seq) is pivotal for understanding cellular heterogeneity and gene expression dynamics.
  • scRNA-seq and single-nucleus RNA sequencing (snRNA-seq) offer distinct advantages depending on the biological question and sample type.
  • These techniques are crucial in stem cell research and the study of complex tissues.

Purpose of the Study:

  • To review the landscape of single-cell RNA sequencing technologies.
  • To highlight the applications and advantages of scRNA-seq and snRNA-seq.
  • To discuss current technical challenges and future directions in the field.

Main Methods:

  • Overview of droplet-based, plate-based, hydrogel-based, and spatial transcriptomics technologies.
  • Comparison of scRNA-seq and snRNA-seq methodologies and their applications.
  • Discussion of key parameters such as cell number, sequencing depth, and length.

Main Results:

  • scRNA-seq effectively captures cellular heterogeneity and rare cell populations.
  • snRNA-seq is suitable for samples where cell dissociation is difficult or undesirable, such as in epigenomic studies.
  • Various scRNA-seq technologies offer flexibility in experimental design.

Conclusions:

  • Continued technological development in scRNA-seq is essential for advancing cellular biology and disease mechanism understanding.
  • Addressing current technical limitations will enhance the precision and comprehensiveness of single-cell analyses.
  • Improved insights from scRNA-seq will inform the development of novel therapeutic interventions.