Evidence map›Paper›PMID 21210251›Full record

ArticleNeuroinformatics2011

BTECH: a platform to integrate genomic, transcriptomic and epigenomic alterations in brain tumors.

Min Wang, Hehuang Xie, Wendy Stellpflug, Veena Rajaram, Maria de Fatima Bonaldo, Stewart Goldman, Tadanori Tomita, Marcelo Bento Soares

Open access · hybridAbstract read
In one paragraph

Article in Neuroinformatics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 36% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

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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

8 authors at 2 institutions in 1 country.

Min WangCancer Biology and Epigenomics Program, Children's Memorial Research Center, Department of Pediatrics, Feinberg School of Medicine, Northwestern University, 2300 Children's Plaza, Box 220, Chicago, IL 60614-3394, USA. mwang@childrensmemorial.org
Hehuang Xie
Wendy Stellpflug
Veena Rajaram
Maria de Fatima Bonaldo
Stewart Goldman
Tadanori Tomita
Marcelo Bento Soares
Northwestern University · USNorthwestern Memorial Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The identification of molecular signatures predictive of clinical behavior and outcome in brain tumors has been the focus of many studies in the recent years. Despite the wealth of data that are available in the public domain on alterations in the genome, epigenome and transcriptome of brain tumors, the underlying molecular mechanisms leading to tumor initiation and progression remain largely unknown. Unfortunately, most of these data are scattered in multiple databases and supplementary materials of publications, thus making their retrieval, evaluation, comparison and visualization a rather arduous task. Here we report the development and implementation of an open access database (BTECH), a community resource for the deposition of a wide range of molecular data derived from brain tumor studies. This comprehensive database integrates multiple datasets, including transcript profiles, epigenomic CpG methylation data, DNA copy number alterations and structural chromosomal rearrangements, tumor-associated gene lists, SNPs, genomic features concerning Alu repeats and general genomic annotations. A genome browser has also been developed that allows for the simultaneous visualization of the different datasets and the various annotated features. Besides enabling an integrative view of diverse datasets through the genome browser, we also provide links to the original references for users to have a more accurate understanding of each specific dataset. This integrated platform will facilitate uncovering interactions among genetic and epigenetic factors associated with brain tumor development. BTECH is freely available at http://cmbteg.childrensmemorial.org/.

Indexed as

Databases as TopicDatabases, FactualBrain NeoplasmsEpigenesis, GeneticGene Expression ProfilingGenomicsHumans

Identifiers

PMID21210251
PMCPMC3063551
OpenAlexW1967001412

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.