Evidence map›Paper›PMID 31936599›Full record

ArticleCells2020

In Silico Analysis of the Age-Dependent Evolution of the Transcriptome of Mouse Skin Stem Cells.

L Francisco Lorenzo-Martín, Xosé R Bustelo

Open access · goldAbstract read
In one paragraph

Article in Cells, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-weighted citation impact, top 25% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. 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 1 institution in 1 country.

L Francisco Lorenzo-MartínCentro de Investigación del Cáncer, CSIC-University of Salamanca, 37007 Salamanca, Spain.
Xosé R BusteloCentro de Investigación del Cáncer, CSIC-University of Salamanca, 37007 Salamanca, Spain.
Universidad de Salamanca · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The stem cells located in the hair follicle bulge area are critical for skin regeneration and repair. To date, little is known about the evolution of the transcriptome of these cells across time. Here, we have combined genome-wide expression analyses and a variety of in silico tools to determine the age-dependent evolution of the transcriptome of those cells. Our results reveal that the transcriptome of skin stem cells fluctuates extensively along the lifespan of mice. The use of both unbiased and pathway-centered in silico approaches has also enabled the identification of biological programs specifically regulated at those specific time-points. It has also unveiled hubs of highly transcriptionally interconnected genes and transcriptional factors potentially located at the core of those age-specific changes.

Indexed as

Computer SimulationEvolution, MolecularAgingAnimalsBase SequenceBinding SitesMaleMice, Inbred C57BLSignal TransductionSkinStem CellsTime FactorsTranscription FactorsTranscription, GeneticTranscriptomeTranscription Factorsbioinformaticsbulgeepidermal stem cellhair follicleskin homeostasistime-coursetranscriptomic analysis

Identifiers

PMID31936599
PMCPMC7016981
OpenAlexW2999045264

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.