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Cell Specific Gene Expression

Cell Specific Gene Expression

Cell Specific Gene Expression

Cell Specific Gene Expression

Multicellular organisms contain a variety of structurally and functionally distinct cell types, but the DNA in all the cells originated from the same parent cells. The differences in the cells can be attributed to the differential gene expression. Liver cells, whose functions include detoxification of blood, production of bile to metabolize fats, and synthesis of proteins essential for metabolism, must express a specific set of genes to perform their functions. Gene expression also varies with...

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Related Experiment Video

Updated: Mar 6, 2026

Real-time Analysis of Transcription Factor Binding, Transcription, Translation, and Turnover to Display Global Events During Cellular Activation

Real-time Analysis of Transcription Factor Binding, Transcription, Translation, and Turnover to Display Global Events During Cellular Activation

Published on: March 7, 2018

Single-Cell Transcriptional Analysis.

Angela R Wu¹, Jianbin Wang², Aaron M Streets³

¹Division of Life Science and Division of Biomedical Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China;

Annual Review of Analytical Chemistry (Palo Alto, Calif.)

|March 17, 2017

Summary

This summary is machine-generated.

Single-cell RNA sequencing offers powerful insights into biological discoveries. This review covers methods, platforms, and analysis for effective single-cell transcriptional analysis.

Keywords:

RNA-seq gene expression heterogeneity microfluidics next-generation sequencing

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Single Cell Transcriptional Profiling of Adult Mouse Cardiomyocytes

Single Cell Transcriptional Profiling of Adult Mouse Cardiomyocytes

Published on: December 28, 2011

Transcriptome Analysis of Single Cells

Transcriptome Analysis of Single Cells

Published on: April 25, 2011

Related Experiment Videos

Last Updated: Mar 6, 2026

Real-time Analysis of Transcription Factor Binding, Transcription, Translation, and Turnover to Display Global Events During Cellular Activation

Real-time Analysis of Transcription Factor Binding, Transcription, Translation, and Turnover to Display Global Events During Cellular Activation

Published on: March 7, 2018

Single Cell Transcriptional Profiling of Adult Mouse Cardiomyocytes

Single Cell Transcriptional Profiling of Adult Mouse Cardiomyocytes

Published on: December 28, 2011

Transcriptome Analysis of Single Cells

Transcriptome Analysis of Single Cells

Published on: April 25, 2011

Area of Science:

Genomics
Molecular Biology
Bioinformatics

Background:

Single-cell transcriptional analysis is a rapidly advancing field.
High-throughput sequencing enables unprecedented biological discoveries.
This technology addresses challenges in traditional biological studies.

Purpose of the Study:

To provide a comprehensive overview of single-cell RNA sequencing (scRNA-seq).
To highlight state-of-the-art methodologies in sample preparation, technology platforms, and computational analysis.
To guide researchers in designing, executing, and interpreting scRNA-seq studies.

Main Methods:

Review of current sample preparation techniques for scRNA-seq.
Overview of available technology platforms for high-throughput sequencing.
Discussion of computational analysis methods for scRNA-seq data.

Main Results:

scRNA-seq has facilitated numerous significant biological discoveries.
The field is characterized by rapid technological and methodological advancements.
Interdisciplinary collaboration is crucial for scRNA-seq progress.

Conclusions:

Single-cell RNA sequencing is a revolutionary technology with vast potential.
Understanding key considerations is vital for successful scRNA-seq study design and execution.
Continued advancements promise further breakthroughs in biological research.