Evidence map›Paper›PMID 22807998›Full record

ArticlePloS one2012

SyStemCell: a database populated with multiple levels of experimental data from stem cell differentiation research.

Jian Yu, Xiaobin Xing, Lingyao Zeng, Jiehuan Sun, Wei Li, Han Sun, Ying He, Jing Li, Guoqing Zhang, Chuan Wang and 2 more

Abstract read
In one paragraph

Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Review
  3. Informatics Approaches for Harmonized Intelligent Integration of Stem Cell Research.Stem cells and cloning : advances and applications · 2020
    Review
  4. Article
  5. Article
  6. Web resources for stem cell research.Genomics, proteomics & bioinformatics · 2015
    Review
  7. Article
  8. 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

12 authors.

Jian YuShanghai Center for Bioinformation Technology, Shanghai, China.
Xiaobin Xing
Lingyao Zeng
Jiehuan Sun
Wei Li
Han Sun
Ying He
Jing Li
Guoqing Zhang
Chuan Wang
Yixue Li
Lu Xie

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Elucidation of the mechanisms of stem cell differentiation is of great scientific interest. Increasing evidence suggests that stem cell differentiation involves changes at multiple levels of biological regulation, which together orchestrate the complex differentiation process; many related studies have been performed to investigate the various levels of regulation. The resulting valuable data, however, remain scattered. Most of the current stem cell-relevant databases focus on a single level of regulation (mRNA expression) from limited stem cell types; thus, a unifying resource would be of great value to compile the multiple levels of research data available. Here we present a database for this purpose, SyStemCell, deposited with multi-level experimental data from stem cell research. The database currently covers seven levels of stem cell differentiation-associated regulatory mechanisms, including DNA CpG 5-hydroxymethylcytosine/methylation, histone modification, transcript products, microRNA-based regulation, protein products, phosphorylation proteins and transcription factor regulation, all of which have been curated from 285 peer-reviewed publications selected from PubMed. The database contains 43,434 genes, recorded as 942,221 gene entries, for four organisms (Homo sapiens, Mus musculus, Rattus norvegicus, and Macaca mulatta) and various stem cell sources (e.g., embryonic stem cells, neural stem cells and induced pluripotent stem cells). Data in SyStemCell can be queried by Entrez gene ID, symbol, alias, or browsed by specific stem cell type at each level of genetic regulation. An online analysis tool is integrated to assist researchers to mine potential relationships among different regulations, and the potential usage of the database is demonstrated by three case studies. SyStemCell is the first database to bridge multi-level experimental information of stem cell studies, which can become an important reference resource for stem cell researchers. The database is available at http://lifecenter.sgst.cn/SyStemCell/.

Indexed as

Databases, FactualDatabases, GeneticSoftwareAnimalsCell DifferentiationDNA MethylationEmbryonic Stem CellsGene Expression RegulationHistonesHumansInduced Pluripotent Stem CellsInternetMacaca mulattaMiceMicroRNAsNeural Stem CellsHistonesMicroRNAsRNA, MessengerTranscription Factors

Identifiers

PMID22807998
PMCPMC3396617

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.