Cited by 376Single-cell and spatial transcriptomicsGene Regulatory Network AnalysisDevelopmental Biology and Gene Regulation

Single-Cell Transcriptomics Meets Lineage Tracing

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Kester, Lennart, van Oudenaarden, Alexander·2018·Cell Stem Cell

Abstract

Reconstructing lineage relationships between cells within a tissue or organism is a long-standing aim in biology. Traditionally, lineage tracing has been achieved through the (genetic) labeling of a cell followed by the tracking of its offspring. Currently, lineage trajectories can also be predicted using single-cell transcriptomics. Although single-cell transcriptomics provides detailed phenotypic information, the predicted lineage trajectories do not necessarily reflect genetic relationships. Recently, techniques have been developed that unite these strategies. In this Review, we discuss transcriptome-based lineage trajectory prediction algorithms, single-cell genetic lineage tracing, and the promising combination of these techniques for stem cell and cancer research.

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Crossref · 10.1016/j.stem.2018.04.014

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Authors
Kester, L., & van Oudenaarden, A.
Affiliations
Royal Netherlands Academy of Arts and Sciences (NL)
Venue
Cell Stem Cell
Publisher
Elsevier BV
Published
2018-08
Volume
23
Issue
2
Pages
166-179
ISSN
  • 1875-9777 (ISSN-L)
  • 1934-5909
OpenAlex
W2801820889
Cited by
375
References
145
Citations by year
2026: 30 · 2025: 33 · 2024: 32 · 2023: 37 · 2022: 45 · 2021: 61 · 2020: 71 · 2019: 55 · 2018: 10 · 2012: 1
FWCI
4.83
Type
journal article
Language
en
Open access
Locations
  • Cell stem cell (publishedVersion)
  • PubMed (publishedVersion)
  • KNAW research portal (Royal Academy of Art and Sciences (KNAW)) (publishedVersion)
  • Data Archiving and Networked Services (DANS) (submittedVersion)
  • Utrecht University Repository (Utrecht University) (submittedVersion, other-oa)
  • KNAW Research Portal (The Royal Netherlands Academy of Arts and Sciences) (submittedVersion)
Funders
  • European Research Council Advanced grant (ERC-AdG 742225-IntScOmics)
  • Nederlandse Organisatie voor Wetenschappelijk Onderzoek (NWO) TOP award (NWO-CW 714.016.001)
  • Dutch Cancer Society project grant (KWF project 10158, 2016-1)
  • Oncode Institute
  • Dutch Cancer Society
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene Regulatory Network Analysis
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Developmental Biology and Gene Regulation
Keywords
lineage tracing, single-cell transcriptomics, stem cells, cancer
MeSH terms
Animals, Humans, Cell Lineage, Cell Tracking, Single-Cell Analysis, Transcriptome

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