Evidence map›Paper›PMID 26634741›Full record

ReviewBMB reports2015

Adult stem cell lineage tracing and deep tissue imaging.

Juergen Fink, Amanda Andersson-Rolf, Bon-Kyoung Koo

Abstract readReview
In one paragraph

Review in BMB reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Review
  2. Advances in CRISPR-Cas9 in lineage tracing of model animals.Animal models and experimental medicine · 2025
    Review
  3. Review
  4. Review
  5. Article
  6. Review
  7. Article
  8. Review
  9. Ectopic expression ofThe Journal of cell biology · 2017
    Article
  10. Sox10Arteriosclerosis, thrombosis, and vascular biology · 2017
    Article
  11. Deep insights: intravital imaging with two-photon microscopy.Pflugers Archiv : European journal of physiology · 2016
    Review
  12. Review
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.

Juergen FinkDepartment of Genetics and Wellcome Trust - Medical Research Council Stem Cell Institute, University of Cambridge, Cambridge, CB2 1QR, United Kingdom.
Amanda Andersson-RolfDepartment of Genetics and Wellcome Trust - Medical Research Council Stem Cell Institute, University of Cambridge, Cambridge, CB2 1QR, United Kingdom.
Bon-Kyoung KooDepartment of Genetics and Wellcome Trust - Medical Research Council Stem Cell Institute, University of Cambridge, Cambridge, CB2 1QR, United Kingdom.

Funding

Medical Research CouncilWellcome Trust 101241Wellcome Trust 101241/Z/13/ZWellcome Trust 97922
6 · The paper itself

Abstract

Lineage tracing is a widely used method for understanding cellular dynamics in multicellular organisms during processes such as development, adult tissue maintenance, injury repair and tumorigenesis. Advances in tracing or tracking methods, from light microscopy-based live cell tracking to fluorescent label-tracing with two-photon microscopy, together with emerging tissue clearing strategies and intravital imaging approaches have enabled scientists to decipher adult stem and progenitor cell properties in various tissues and in a wide variety of biological processes. Although technical advances have enabled time-controlled genetic labeling and simultaneous live imaging, a number of obstacles still need to be overcome. In this review, we aim to provide an in-depth description of the traditional use of lineage tracing as well as current strategies and upcoming new methods of labeling and imaging.

Indexed as

Adult Stem CellsAnimalsCell LineageCell TrackingHomeostasisHumansOptical Imaging

Identifiers

PMID26634741
PMCPMC4791321

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.