Evidence map›Paper›PMID 29045725›Full record

ArticleNucleic acids research2018

StemMapper: a curated gene expression database for stem cell lineage analysis.

José P Pinto, Rui S R Machado, Ramiro Magno, Daniel V Oliveira, Susana Machado, Raquel P Andrade, José Bragança, Isabel Duarte, Matthias E Futschik

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 17% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 43 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Cell stemness is maintained upon concurrent expression of RB and the mitochondrial ribosomal protein S18-2.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  11. Article
  12. Review
  13. Informatics Approaches for Harmonized Intelligent Integration of Stem Cell Research.Stem cells and cloning : advances and applications · 2020
    Review
  14. CancerLivER: a database of liver cancer gene expression resources and biomarkers.Database : the journal of biological databases and curation · 2020
    Article
  15. Article
  16. Article
  17. Article
  18. CancerSEA: a cancer single-cell state atlas.Nucleic acids research · 2019
    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

9 authors at 3 institutions in 3 countries.

José P PintoSystems Biology and Bioinformatics Laboratory (SysBioLab), Universidade do Algarve, Faro, 8005-139, Portugal.
Rui S R MachadoSystems Biology and Bioinformatics Laboratory (SysBioLab), Universidade do Algarve, Faro, 8005-139, Portugal.
Ramiro MagnoCenter for Biomedical Research (CBMR), Universidade do Algarve, Faro, 8005-139, Portugal.
Daniel V OliveiraCenter for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm 14157, Sweden.
Susana MachadoCenter for Biomedical Research (CBMR), Universidade do Algarve, Faro, 8005-139, Portugal.
Raquel P AndradeCenter for Biomedical Research (CBMR), Universidade do Algarve, Faro, 8005-139, Portugal.
José BragançaCenter for Biomedical Research (CBMR), Universidade do Algarve, Faro, 8005-139, Portugal.
Isabel DuarteCenter for Biomedical Research (CBMR), Universidade do Algarve, Faro, 8005-139, Portugal.
Matthias E FutschikSystems Biology and Bioinformatics Laboratory (SysBioLab), Universidade do Algarve, Faro, 8005-139, Portugal.
Algarve Biomedical Center · PTUniversity of Algarve · PTKarolinska Institutet · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transcriptomic data have become a fundamental resource for stem cell (SC) biologists as well as for a wider research audience studying SC-related processes such as aging, embryonic development and prevalent diseases including cancer, diabetes and neurodegenerative diseases. Access and analysis of the growing amount of freely available transcriptomics datasets for SCs, however, are not trivial tasks. Here, we present StemMapper, a manually curated gene expression database and comprehensive resource for SC research, built on integrated data for different lineages of human and mouse SCs. It is based on careful selection, standardized processing and stringent quality control of relevant transcriptomics datasets to minimize artefacts, and includes currently over 960 transcriptomes covering a broad range of SC types. Each of the integrated datasets was individually inspected and manually curated. StemMapper's user-friendly interface enables fast querying, comparison, and interactive visualization of quality-controlled SC gene expression data in a comprehensive manner. A proof-of-principle analysis discovering novel putative astrocyte/neural SC lineage markers exemplifies the utility of the integrated data resource. We believe that StemMapper can open the way for new insights and advances in SC research by greatly simplifying the access and analysis of SC transcriptomic data. StemMapper is freely accessible at http://stemmapper.sysbiolab.eu.

Indexed as

Cell LineageDatabases, GeneticGene ExpressionStem CellsAstrocytesData CollectionData CurationDatasets as TopicHumansNeural Stem CellsPrincipal Component AnalysisUser-Computer InterfaceWorkflow

Identifiers

PMID29045725
PMCPMC5753294
OpenAlexW2766803884

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.