Evidence map›Paper›PMID 17873386›Full record

ReviewStem cell reviews2007

Stem cell chronicles: autobiographies within genomes.

Darryl Shibata, Simon Tavaré

Abstract readReview
PubMed Publisher
In one paragraph

Review in Stem cell reviews, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.5field-weighted citation impact, top 34% of its field
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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. 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

2 authors at 2 institutions in 2 countries.

Darryl ShibataDepartment of Pathology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA. dshibata@usc.edu
Simon Tavaré
Southern California University for Professional Studies · USUniversity of Cambridge · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human stem cell studies are difficult because many of the powerful experimental approaches that mark and follow stem cells and their progeny are impractical. Moreover, humans are long-lived, and it would literally take a lifetime to follow stem cell fates prospectively. Considering these hurdles, an ideal method would not require prior experimental manipulations but still allow "observations" of human stem cells from birth to death. The purpose of this review is to outline how histories or fates are likely to be surreptitiously recorded within somatic cell genomes by replication errors (molecular clock hypothesis). It may be possible to reconstruct stem cell lifetimes by measuring the random somatic changes that accumulate within their genomes, or the genomes of their more-easy-to-identify progeny.

Indexed as

Base SequenceBiological ClocksCell DifferentiationClone CellsEpigenesis, GeneticGenomeHumansModels, BiologicalMolecular Sequence DataNeoplasmsPedigreeStem Cells

Identifiers

PMID17873386
OpenAlexW2055032238

What OpenQuestion holds

Textmetadata
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.