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

9.9K
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...
9.9K
Overview Of Cell Separation And Isolation01:20

Overview Of Cell Separation And Isolation

5.6K
Cell separation was first achieved in 1964 by S. H. Seal, who separated large tumor cells from the smaller blood cells using filtration. Two years later, Pohl and Hawk performed experiments on how cells respond differently to a nonuniform electric field based on the cell type. Such observations were the inception of cell separation methods, which allow isolating a single cell type from a heterogeneous sample.
5.6K
Ribosome Profiling02:24

Ribosome Profiling

3.5K
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...
3.5K
Genomics02:02

Genomics

36.3K
Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
36.3K

You might also read

Related Articles

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

Sort by
Same author

Unraveling clade-specific differences in Candida auris: evolution, adaptation, and pathogenicity.

European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology·2026
Same author

Combating Streptococcus agalactiae infections by designing a multi-epitope vaccine using molecular dynamic simulations.

Journal, genetic engineering & biotechnology·2026
Same author

Standard Treatment Workflows: scaling system-compatible approaches to rational antibiotic use.

Frontiers in medicine·2026
Same author

Comparison of gastric insufflation between LMA Protector and i-gel using ultrasound in adult patients - A randomized controlled trial.

Journal of anaesthesiology, clinical pharmacology·2026
Same author

Biocompatible <i>de novo</i> indolylchalcones as platelet aggregation inhibition and diabetic wound healing agents.

RSC medicinal chemistry·2026
Same author

Effect of an integrated Yoga module on clinical, endocrine and metabolomic outcomes in polycystic ovarian syndrome.

Journal of Ayurveda and integrative medicine·2026

Related Experiment Video

Updated: Jun 27, 2025

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

18.5K

Single-cell transcriptomics: background, technologies, applications, and challenges.

Lucky Duhan1, Deepika Kumari1, Mohammad Naime2

  • 1Department of Biochemistry, Maharshi Dayanand University, Rohtak, Haryana, 124001, India.

Molecular Biology Reports
|April 30, 2024
PubMed
Summary
This summary is machine-generated.

Single-cell transcriptomics offers deep insights into cellular states and disease mechanisms. Advances in technology are making single-cell sequencing more accessible for diverse research applications.

Keywords:
ApplicationsBioinformatic methodsMulti-omicsSingle-cell sequencingSpatial transcriptomicsTranscriptome

More Related Videos

Transcriptome Analysis of Single Cells
07:27

Transcriptome Analysis of Single Cells

Published on: April 25, 2011

29.9K
Multiplexed Single Cell mRNA Sequencing Analysis of Mouse Embryonic Cells
08:30

Multiplexed Single Cell mRNA Sequencing Analysis of Mouse Embryonic Cells

Published on: January 7, 2020

13.0K

Related Experiment Videos

Last Updated: Jun 27, 2025

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

18.5K
Transcriptome Analysis of Single Cells
07:27

Transcriptome Analysis of Single Cells

Published on: April 25, 2011

29.9K
Multiplexed Single Cell mRNA Sequencing Analysis of Mouse Embryonic Cells
08:30

Multiplexed Single Cell mRNA Sequencing Analysis of Mouse Embryonic Cells

Published on: January 7, 2020

13.0K

Area of Science:

  • Molecular Biology
  • Genomics
  • Biotechnology

Background:

  • Single-cell sequencing (SCS) was developed to identify rare cell states missed by bulk analysis.
  • It reveals cellular evolutionary status, population differences, and gene regulatory networks.
  • High costs and technical hurdles initially limited SCS adoption.

Purpose of the Study:

  • To review the latest advancements in single-cell transcriptomics technologies.
  • To discuss various single-cell transcriptomics approaches, workflows, and data processing.
  • To explore future potential, applications, and challenges in the field.

Main Methods:

  • Review of recent literature on single-cell transcriptomics.
  • Analysis of emerging single-cell sequencing platforms and protocols.
  • Overview of bioinformatics and statistical approaches for data analysis.

Main Results:

  • Significant progress has been made in reducing the cost and improving the accessibility of SCS.
  • Numerous new SCS techniques with unique capabilities have emerged.
  • Commercial platforms and bioinformatics tools are now widely available.

Conclusions:

  • Single-cell transcriptomics is increasingly utilized across various research and industrial sectors.
  • The technology offers powerful insights into disease mechanisms, tumor heterogeneity, and immune environments.
  • Future directions include integration with spatial transcriptomics and multi-omics approaches.