Cited by 854Single-cell and spatial transcriptomicsGenomics and Phylogenetic StudiesGene expression and cancer classification

The DOI matches its Crossref record; 167 of the 167 references it cites were found in a registry or an index.

Single-cell RNA-seq: advances and future challenges

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Abstract

Phenotypically identical cells can dramatically vary with respect to behavior during their lifespan and this variation is reflected in their molecular composition such as the transcriptomic landscape. Single-cell transcriptomics using next-generation transcript sequencing (RNA-seq) is now emerging as a powerful tool to profile cell-to-cell variability on a genomic scale. Its application has already greatly impacted our conceptual understanding of diverse biological processes with broad implications for both basic and clinical research. Different single-cell RNA-seq protocols have been introduced and are reviewed here-each one with its own strengths and current limitations. We further provide an overview of the biological questions single-cell RNA-seq has been used to address, the major findings obtained from such studies, and current challenges and expected future developments in this booming field.

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Research works printed but not linked: 4

  1. 10.1038/nmeth.2639 · DOI · Paper page
  2. Trapnell C. Cacchiarelli D. Grimsby J. Pokharel P. Li S. Morse M. Lennon N.J. Livak K.J. Mikkelsen T.S. Rinn J.L. The dynamics and regulators of cell fate decisions are revealed by pseudotemporal ordering of single cells. Nat. Biotechnol 2014;32. · DOI · Paper page
  3. 10.1371/journal.pone.0021208 · DOI
  4. 10.1038/nature12352 · DOI · Paper page

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Metadata

Authors
Saliba, A.-E., Westermann, A. J., Gorski, S. A., & Vogel, J.
Affiliations
University of Würzburg (DE)
Corresponding author
Vogel, Jörg
Venue
Nucleic Acids Research
Published
2014-07-22
Volume
42
Issue
14
Pages
8845-8860
ISSN
  • 0305-1048 (ISSN-L)
  • 1362-4962
OpenAlex
W2069295116
Cited by
847
References
167
Citations by year
2026: 38 · 2025: 81 · 2024: 92 · 2023: 78 · 2022: 74 · 2021: 69 · 2020: 58 · 2019: 63 · 2018: 67 · 2017: 91 · 2016: 84 · 2015: 46 · 2014: 6
FWCI
7.00
Type
journal article
Language
en
Open access
Locations
  • Nucleic Acids Research (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • MDC Repository (Max-Delbrueck-Center for Molecular Medicine) (acceptedVersion)
  • Online Publication Service of Würzburg University (Würzburg University) (submittedVersion, cc-by)
Funders
  • Deutsche Forschungsgemeinschaft
  • Bundesministerium für Bildung und Forschung
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene expression and cancer classification
Keywords
single-cell RNA sequencing, single-cell transcriptomics, cell-to-cell variability, transcriptional landscape
MeSH terms
Cell Separation, Sequence Analysis, RNA, Gene Expression Profiling, Single-Cell Analysis, High-Throughput Nucleotide Sequencing

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