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Related Concept Videos

RNA-seq03:21

RNA-seq

12.7K
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

4.4K
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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Related Experiment Video

Updated: Apr 15, 2026

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

Published on: January 10, 2019

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Single cell transcriptomics: methods and applications.

Itamar Kanter1, Tomer Kalisky1

  • 1Faculty of Engineering, Institute of Nanotechnology, Bar-Ilan University , Ramat Gan , Israel.

Frontiers in Oncology
|March 26, 2015
PubMed
Summary
This summary is machine-generated.

Single-cell transcriptomics reveals cellular details hidden in bulk samples. This review explores technologies enabling insights into complex diseases and biological processes like development and immunity.

Keywords:
FISHRNA sequencinggene expressionqPCRsingle cell

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Last Updated: Apr 15, 2026

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues
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Transcriptome Analysis of Single Cells
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Transcriptome Analysis of Single Cells

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Area of Science:

  • Genomics
  • Molecular Biology
  • Cell Biology

Background:

  • Traditional gene expression analysis uses bulk samples, masking individual cell variations.
  • Advancements in genomic technology now allow for gene expression measurement at the single-cell level.
  • Single-cell analysis overcomes limitations of bulk measurements, revealing previously obscured cellular properties.

Purpose of the Study:

  • To survey emerging technologies in single-cell transcriptomics.
  • To describe the application of these technologies in studying complex diseases like cancer.
  • To illustrate their use in understanding biological phenomena such as tissue regeneration, embryonic development, and immune responses.

Main Methods:

  • Review of current and emerging single-cell transcriptomic technologies.
  • Analysis of case studies demonstrating applications in disease and developmental biology.
  • Synthesis of findings from various single-cell transcriptomics studies.

Main Results:

  • Identification of key technological advancements enabling single-cell gene expression profiling.
  • Demonstration of single-cell transcriptomics' utility in dissecting cellular heterogeneity in complex diseases.
  • Highlighting the power of single-cell approaches in understanding fundamental biological processes.

Conclusions:

  • Single-cell transcriptomics provides unprecedented resolution for biological research.
  • Emerging technologies are transforming our ability to study cellular function and disease.
  • This approach is crucial for advancing our understanding of development, immunity, and complex pathologies.