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

12.6K
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...
12.6K

You might also read

Related Articles

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

Sort by
Same author

Glioma-intrinsic MAPK/ERK signaling promotes immunotherapy efficacy through T cell infiltration and interferon responses.

Nature communications·2026
Same author

Hierarchical classification of immune cell transcriptomes at population-scale.

bioRxiv : the preprint server for biology·2026
Same author

Plasma signals of lung tumor promotion for molecular cancer prevention.

Cell·2026
Same author

Distinct transcription factors control tissue adaptation and effector function in infant and adult memory T cells.

Nature immunology·2026
Same author

Scalable genotyping in fixed transcriptomes resolves clonal heterogeneity via single-cell sequencing.

bioRxiv : the preprint server for biology·2026
Same author

Oncogenic and tumor-suppressive forces converge on a progenitor niche at the benign-to-malignant transition.

Cell·2026

Related Experiment Video

Updated: Apr 11, 2026

An Ultrahigh-throughput Microfluidic Platform for Single-cell Genome Sequencing
10:00

An Ultrahigh-throughput Microfluidic Platform for Single-cell Genome Sequencing

Published on: May 23, 2018

18.5K

Scalable microfluidics for single-cell RNA printing and sequencing.

Sayantan Bose1, Zhenmao Wan2, Ambrose Carr3

  • 1Department of Systems Biology, Columbia University Medical Center, New York, NY, 10032, USA. sb3438@columbia.edu.

Genome Biology
|June 7, 2015
PubMed
Summary

Researchers developed a new, low-cost platform for single-cell RNA sequencing. This scalable technology enables efficient manipulation of RNA from individual cells for large-scale biological studies.

More Related Videos

The Submerged Printing of Cells onto a Modified Surface Using a Continuous Flow Microspotter
08:29

The Submerged Printing of Cells onto a Modified Surface Using a Continuous Flow Microspotter

Published on: April 22, 2014

9.2K
Counting Proteins in Single Cells with Addressable Droplet Microarrays
12:25

Counting Proteins in Single Cells with Addressable Droplet Microarrays

Published on: July 6, 2018

9.1K

Related Experiment Videos

Last Updated: Apr 11, 2026

An Ultrahigh-throughput Microfluidic Platform for Single-cell Genome Sequencing
10:00

An Ultrahigh-throughput Microfluidic Platform for Single-cell Genome Sequencing

Published on: May 23, 2018

18.5K
The Submerged Printing of Cells onto a Modified Surface Using a Continuous Flow Microspotter
08:29

The Submerged Printing of Cells onto a Modified Surface Using a Continuous Flow Microspotter

Published on: April 22, 2014

9.2K
Counting Proteins in Single Cells with Addressable Droplet Microarrays
12:25

Counting Proteins in Single Cells with Addressable Droplet Microarrays

Published on: July 6, 2018

9.1K

Area of Science:

  • Molecular Biology
  • Genomics
  • Biotechnology

Background:

  • Single-cell transcriptomics is crucial for addressing complex biological questions.
  • Current methods for large-scale single-cell RNA analysis are often expensive and inefficient.
  • There is a need for accessible tools for individual cell RNA manipulation.

Purpose of the Study:

  • To develop a scalable and cost-effective platform for single-cell RNA sequencing.
  • To enable efficient manipulation and analysis of RNA from individual cells.
  • To provide a general platform for single-cell imaging and sequencing.

Main Methods:

  • A novel platform was created for trapping single-cell lysates in picoliter microwells.
  • The platform facilitates RNA printing on glass or capture on beads.
  • A scalable technology for genome-wide, single-cell RNA sequencing was developed.

Main Results:

  • The developed device generates pooled libraries from hundreds of individual cells.
  • Consumable costs are significantly reduced, ranging from $0.10-$0.20 per cell.
  • The system supports simultaneous experiments across five lanes.

Conclusions:

  • The new platform offers an efficient and inexpensive solution for large-scale single-cell transcriptomics.
  • This technology is expected to advance single-cell imaging and sequencing capabilities.
  • The system provides a versatile tool for various single-cell analyses.