Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

RNA-seq

RNA-seq

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...

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...

Cell Specific Gene Expression

Cell Specific Gene Expression

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

ILC2s regulate a fibroblast progenitor niche in the pancreas.

Science (New York, N.Y.)·2026

Same author

Sequential changes in calcium transients during M phase regulate cardiomyocyte proliferation.

The Journal of cell biology·2026

Same author

Risk-calibrated sharing of human brain data.

Brain : a journal of neurology·2026

Same author

Glucokinase activity suppresses hepatic cholesterol synthesis and triglyceride accumulation: A new model for the effects of the GKRP P466L common human variant.

Molecular metabolism·2026

Same author

Mitochondrial carrier SLC25A34 links clock, diet, and temperature control of interorganellar lipid cycling.

bioRxiv : the preprint server for biology·2026

Same author

The HuBMAP Framework for Advancing Data FAIRness.

bioRxiv : the preprint server for biology·2026

Search research articles

Related Experiment Video

Updated: Apr 11, 2026

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

Published on: January 10, 2019

Deep sequencing reveals cell-type-specific patterns of single-cell transcriptome variation.

Hannah Dueck¹, Mugdha Khaladkar², Tae Kyung Kim^3,4

¹Department of Genomics and Computational Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA. hdueck@mail.upenn.edu.

|June 10, 2015

Summary

This summary is machine-generated.

Single-cell RNA sequencing reveals significant transcriptome variation across tissues and species. Careful analysis is key to understanding gene expression variation and cell function, distinguishing biological regulation from technical noise.

More Related Videos

Multiplexed Single Cell mRNA Sequencing Analysis of Mouse Embryonic Cells

Multiplexed Single Cell mRNA Sequencing Analysis of Mouse Embryonic Cells

Published on: January 7, 2020

Author Spotlight: Deciphering the Cellular Mysteries of Intermuscular Adipose Tissue in Humans

Author Spotlight: Deciphering the Cellular Mysteries of Intermuscular Adipose Tissue in Humans

Published on: May 3, 2024

Related Experiment Videos

Last Updated: Apr 11, 2026

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

Published on: January 10, 2019

Multiplexed Single Cell mRNA Sequencing Analysis of Mouse Embryonic Cells

Multiplexed Single Cell mRNA Sequencing Analysis of Mouse Embryonic Cells

Published on: January 7, 2020

Author Spotlight: Deciphering the Cellular Mysteries of Intermuscular Adipose Tissue in Humans

Author Spotlight: Deciphering the Cellular Mysteries of Intermuscular Adipose Tissue in Humans

Published on: May 3, 2024

Area of Science:

Molecular Biology
Genomics
Cell Biology

Background:

Cell differentiation relies on distinct gene expression programs.
Single-cell transcriptome profiling reveals unexpected cell-to-cell variation.
Understanding transcriptome states and cell phenotypes requires addressing single-cell analysis challenges.

Purpose of the Study:

To analyze deep read-depth single-cell RNA sequencing data from mouse and rat tissues.
To develop methods for reliable gene quantification and biological variation calibration.
To investigate the relationship between transcriptome variation and cell phenotype.

Main Methods:

High-quality deep read-depth single-cell RNA sequencing (scRNA-seq) was performed on 91 mouse cells and 18 rat cells.
Control samples of bulk RNA diluted to single-cell levels were included.
Novel methods were developed for gene filtering, reliable quantification, and biological variation calibration.

Main Results:

Transcriptomes exhibit global differences across tissues in gene expression counts and patterns.
Significant within-cell-type variation exists, with tissue-specific patterns.
Neuronal gene expression variability in mice correlates with rats, suggesting conserved variation levels.

Conclusions:

Single-cell RNA sequencing offers unique insights into transcriptome function but demands rigorous analysis.
Technical variation must be accounted for in single-cell expression studies.
Biological variability in some genes appears regulated for dynamic cellular functions, not just noise.