Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

RNA-seq03:21

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 microarray-based...
Ribosome Profiling02:24

Ribosome Profiling

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 helps...

You might also read

Related Articles

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

Sort by
Same author

The contribution of short tandem repeats to splicing variation in the human cortex.

bioRxiv : the preprint server for biology·2026
Same author

SETD5 dysfunction in human astrocytes drives IL-6-mediated neuronal impairments via the JAK/STAT signaling pathway.

bioRxiv : the preprint server for biology·2026
Same author

Multiplexed measurements of protein-protein interactions and protein abundance across cellular conditions using Prod&PQ-seq.

bioRxiv : the preprint server for biology·2026
Same author

Improved spike-in normalization clarifies the relationship between active histone modifications and transcription.

bioRxiv : the preprint server for biology·2025
Same author

Automated chromatin profiling with spa-ChIP-seq uncovers the impacts of condition variations.

Genome research·2025
Same author

Characterization of shared and ancestry-specific signals driving complex traits using multi-ancestry fine-mapping.

medRxiv : the preprint server for health sciences·2025
Same journal

Complete sequencing of medaka genomes reveals the architecture of centromeric satellites, giant mobile elements, and sex chromosomes.

Genome research·2026
Same journal

Convergence and conflict among telomere specialized transposons across 60 million years of Drosophilid evolution.

Genome research·2026
Same journal

A unified analysis of cell type- and trajectory-associated pathways in single-cell data using Phoenix.

Genome research·2026
Same journal

Resf1 is required for proper placental development and configuration of trophoblast cell-specific heterochromatin.

Genome research·2026
Same journal

Telomere-driven replicative crisis is driven by large-scale changes in genomic architecture.

Genome research·2026
Same journal

Spatially informed reference-free cell-type deconvolution for spatial transcriptomics with SpatialCD.

Genome research·2026
See all related articles

Related Experiment Video

Updated: Jun 16, 2026

Multiplexed Analysis of Retinal Gene Expression and Chromatin Accessibility Using scRNA-Seq and scATAC-Seq
06:24

Multiplexed Analysis of Retinal Gene Expression and Chromatin Accessibility Using scRNA-Seq and scATAC-Seq

Published on: March 12, 2021

Digital transcriptome profiling from attomole-level RNA samples.

Fatih Ozsolak1, Alon Goren, Melissa Gymrek

  • 1Helicos BioSciences Corporation, Cambridge, MA 02139, USA. fatihozsolak@gmail.com

Genome Research
|February 6, 2010
PubMed
Summary
This summary is machine-generated.

Low-quantity RNA sequencing (LQ-RNAseq) enables whole transcriptome surveys from minute RNA amounts without amplification. This method accurately profiles gene expression in rare cells and stem cells, advancing biological research.

More Related Videos

Metabolic Labeling of Newly Transcribed RNA for High Resolution Gene Expression Profiling of RNA Synthesis, Processing and Decay in Cell Culture
11:00

Metabolic Labeling of Newly Transcribed RNA for High Resolution Gene Expression Profiling of RNA Synthesis, Processing and Decay in Cell Culture

Published on: August 8, 2013

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues
10:12

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

Published on: January 10, 2019

Related Experiment Videos

Last Updated: Jun 16, 2026

Multiplexed Analysis of Retinal Gene Expression and Chromatin Accessibility Using scRNA-Seq and scATAC-Seq
06:24

Multiplexed Analysis of Retinal Gene Expression and Chromatin Accessibility Using scRNA-Seq and scATAC-Seq

Published on: March 12, 2021

Metabolic Labeling of Newly Transcribed RNA for High Resolution Gene Expression Profiling of RNA Synthesis, Processing and Decay in Cell Culture
11:00

Metabolic Labeling of Newly Transcribed RNA for High Resolution Gene Expression Profiling of RNA Synthesis, Processing and Decay in Cell Culture

Published on: August 8, 2013

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues
10:12

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

Published on: January 10, 2019

Area of Science:

  • Molecular Biology
  • Genomics
  • Biotechnology

Background:

  • Accurate RNA profiling is crucial for scientific and clinical advances.
  • Existing methods often require larger RNA quantities or involve amplification/ligation steps.

Purpose of the Study:

  • To introduce and validate a novel low-quantity RNA sequencing (LQ-RNAseq) technique.
  • To demonstrate its applicability for whole transcriptome surveys from minimal RNA samples.

Main Methods:

  • LQ-RNAseq involves first-strand cDNA synthesis, 3' polyA tailing, and direct single-molecule sequencing.
  • The method is amplification and ligation-free.
  • Applied to S. cerevisiae and mouse stem cells.

Main Results:

  • LQ-RNAseq demonstrated reproducibility across sample preparations and instrument runs.
  • Absolute quantitative power was established via comparisons and spike-in experiments.
  • Identified differential gene expression in mouse embryonic and induced pluripotent stem cells.

Conclusions:

  • LQ-RNAseq provides a powerful, quantitative method for global gene expression analysis from minute RNA quantities.
  • This amplification-independent technology has broad utility in basic research and translational biology, especially for rare cell characterization.