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

10.0K
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...
10.0K
Cell Specific Gene Expression01:58

Cell Specific Gene Expression

13.6K
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...
13.6K
Genome Annotation and Assembly03:36

Genome Annotation and Assembly

18.9K
The genome refers to all of the genetic material in an organism. It can range from a few million base pairs in microbial cells to several billion base pairs in many eukaryotic organisms. Genome assembly refers to the process of taking the DNA sequencing data and putting it all back together in a correct order to create a close representation of the original genome. This is followed by the identification of functional elements on the newly assembled genome, a process called genome annotation.
18.9K
Cell Lines01:16

Cell Lines

7.5K
A cell line is a population of cells grown in vitro that can be subcultured over several generations. Normal cells cease to divide after a certain number of cell divisions, a process known as replicative senescence. This number, called the Hayflick limit, was conceptualized by Leonard Hayflick in 1961 when he observed that fetal cells grown in culture could only divide 40-60 times. This limit is due to the shortening of the telomeres during each round of cell division, preventing cell division...
7.5K
Cell Diversity01:13

Cell Diversity

3.2K
The concept of a cell started with microscopic observations of dead cork tissue by Robert Hooke in 1665. Hooke coined the term "cell" based on the resemblance of the small subdivisions in the cork to the rooms that monks inhabited, called cells. About ten years later, Antonie van Leeuwenhoek became the first person to observe the living and moving cells under a microscope. In the century that followed, the theory that cells represented the basic unit of life developed.
Multicellular...
3.2K

You might also read

Related Articles

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

Sort by
Same author

Mechanical movements generated by movable lipids break endosomal barriers for enhanced mRNA therapeutics.

Science advances·2026
Same author

Corrigendum to "Application of ultrasound and ultrasound-responsive materials in wounds: A systematic review" [International Journal of Pharmaceutics: X 11 (2026) 100485].

International journal of pharmaceutics: X·2026
Same author

Keratinocyte-Derived Apoptotic Nanovehicles Reprogram Cutaneous Dendritic Cells to Ameliorate Psoriasis.

ACS nano·2026
Same author

Traditional Chinese medicine ingredients integrated microneedles: A promising strategy for transdermal treatment.

Asian journal of pharmaceutical sciences·2026
Same author

Discovery of an Androgen Receptor Degrader Featuring a Pyridazinyl Glutarimide CRBN-Binding Motif for Transdermal Treatment of Androgenetic Alopecia.

Journal of medicinal chemistry·2026
Same author

Deformability-augmented mesenchymal stem cells post-enucleation for efficient mRNA intervention of pulmonary fibrosis in rodent model.

iScience·2026
Same journal

Correction to 'scSuperAnnotator: A platform for benchmarking comparison and visualizing automated cellular annotation methods for scRNA-seq data'.

Nucleic acids research·2026
Same journal

Correction to 'Differentiable partition function calculation for RNA'.

Nucleic acids research·2026
Same journal

Deployment of non-canonical splicing in tunicate genomes is mediated by divergent U2AF function and changing m6A modification in U1 and U6 snRNA.

Nucleic acids research·2026
Same journal

Bacillus subtilis DnaB forms multiple protein-protein interactions essential for DNA replication initiation.

Nucleic acids research·2026
Same journal

Multiple forms of protein-protein and DNA binding are exhibited by BrxC from the BREX phage restriction system.

Nucleic acids research·2026
Same journal

Biosynthesis of glycosylated 5-hydroxycytosine in the DNA of diverse viruses.

Nucleic acids research·2026
See all related articles

Related Experiment Video

Updated: Jul 12, 2025

Transcriptome Analysis of Single Cells
07:27

Transcriptome Analysis of Single Cells

Published on: April 25, 2011

29.9K

CellSTAR: a comprehensive resource for single-cell transcriptomic annotation.

Ying Zhang1, Huaicheng Sun1, Wei Zhang1

  • 1College of Pharmaceutical Sciences, The Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou 310058, China.

Nucleic Acids Research
|October 19, 2023
PubMed
Summary
This summary is machine-generated.

Researchers developed CellSTAR, a comprehensive database for single-cell transcriptomic annotation. This resource aids in understanding cellular heterogeneity by integrating reference data and thousands of marker genes for accurate cell type identification.

More Related Videos

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

18.6K
Reusable Single Cell for Iterative Epigenomic Analyses
10:28

Reusable Single Cell for Iterative Epigenomic Analyses

Published on: February 11, 2022

1.3K

Related Experiment Videos

Last Updated: Jul 12, 2025

Transcriptome Analysis of Single Cells
07:27

Transcriptome Analysis of Single Cells

Published on: April 25, 2011

29.9K
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

18.6K
Reusable Single Cell for Iterative Epigenomic Analyses
10:28

Reusable Single Cell for Iterative Epigenomic Analyses

Published on: February 11, 2022

1.3K

Area of Science:

  • Genomics
  • Cell Biology
  • Bioinformatics

Background:

  • Single-cell sequencing reveals cell-type-specific expression patterns, highlighting the need for accurate cell type annotation.
  • Gene expression analysis provides annotated references and canonical markers crucial for cell type identification.
  • Understanding cellular heterogeneity is vital in biological research.

Purpose of the Study:

  • To develop the first comprehensive database for single-cell transcriptomic annotation, named CellSTAR.
  • To provide expertly annotated reference data for hundreds of cell types.
  • To enable the integrated analysis of reference data and extensive marker genes.

Main Methods:

  • Development of the CellSTAR database.
  • Incorporation of tens of thousands of canonical marker genes.
  • Integration of comprehensive, expertly annotated reference datasets.

Main Results:

  • The creation of CellSTAR, a novel resource for single-cell transcriptomic annotation.
  • CellSTAR offers unprecedentedly comprehensive annotated reference data for numerous cell types.
  • The database facilitates the combined use of reference data and marker genes for enhanced annotation.

Conclusions:

  • CellSTAR is a unique and valuable resource for the single-cell biology community.
  • The database is expected to drive research in single-cell transcriptomics, cellular heterogeneity, and dynamics.
  • CellSTAR is publicly accessible at https://idrblab.org/cellstar without requiring a login.