Evidence map›Paper›PMID 27654510›Full record

ArticleScientific reports2016

UbC-StarTrack, a clonal method to target the entire progeny of individual progenitors.

María Figueres-Oñate, Jorge García-Marqués, Laura López-Mascaraque

Abstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

32 citing papers in PubMed.

  1. Article
  2. Article
  3. Genetic Tracing of Progenitors from Embryo to Postnatal Brain.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  4. StarTrack: Mapping Cellular Fates with Inheritable Color Codes.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  5. Article
  6. Cell Fate of Retinal Progenitor Cells: In Ovo UbC-StarTrack Analysis.International journal of molecular sciences · 2022
    Article
  7. FunctionalNeural regeneration research · 2022
    Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Deciphering neural heterogeneity through cell lineage tracing.Cellular and molecular life sciences : CMLS · 2021
    Review
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

María Figueres-OñateInstituto Cajal, CSIC, Madrid, Spain.
Jorge García-MarquésInstituto Cajal, CSIC, Madrid, Spain.
Laura López-MascaraqueInstituto Cajal, CSIC, Madrid, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clonal cell analysis defines the potential of single cells and the diversity they can produce. To achieve this, we have developed a novel adaptation of the genetic tracing strategy, UbC-StarTrack, which attributes a specific and unique color-code to single neural precursors, allowing all their progeny to be tracked. We used integrable fluorescent reporters driven by a ubiquitous promoter in PiggyBac-based vectors to achieve inheritable and stable clonal cell labeling. In addition, coupling this to an inducible Cre-LoxP system avoids the expression of non-integrated reporters. To assess the utility of this system, we first analyzed images of combinatorial expression of fluorescent reporters in transfected cells and their progeny. We also validated the efficiency of the UbC-StarTrack to trace cell lineages through in vivo, in vitro and ex vivo strategies. Finally, progenitors located in the lateral ventricles were targeted at embryonic or postnatal stages to determine the diversity of neurons and glia they produce, and their clonal relationships. In this way we demonstrate that UbC-StarTrack can be used to identify all the progeny of a single cell and that it can be employed in a wide range of contexts.

Identifiers

PMID27654510
PMCPMC5031994

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.