Evidence map›Paper›PMID 26777304›Full record

ArticleScientific reports2016

dbEM: A database of epigenetic modifiers curated from cancerous and normal genomes.

Jagpreet Singh Nanda, Rahul Kumar, Gajendra P S Raghava

Abstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

32 citing papers in PubMed.

  1. Article
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  11. Promises and challenges in pharmacoepigenetics.Cambridge prisms. Precision medicine · 2023
    Review
  12. Article
  13. InnovativeFrontiers in genetics · 2022
    Review
  14. MIAOME: Human microbiome affect the host epigenome.Computational and structural biotechnology journal · 2022
    Article
  15. Reviewing cancer's biology: an eclectic approach.Journal of the Egyptian National Cancer Institute · 2021
    Review
  16. Article
  17. Article
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  20. Review
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

3 authors.

Jagpreet Singh NandaBioinformatics Centre, CSIR-Institute of Microbial Technology, Chandigarh-160036, India.
Rahul KumarBioinformatics Centre, CSIR-Institute of Microbial Technology, Chandigarh-160036, India.
Gajendra P S RaghavaBioinformatics Centre, CSIR-Institute of Microbial Technology, Chandigarh-160036, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We have developed a database called dbEM (database of Epigenetic Modifiers) to maintain the genomic information of about 167 epigenetic modifiers/proteins, which are considered as potential cancer targets. In dbEM, modifiers are classified on functional basis and comprise of 48 histone methyl transferases, 33 chromatin remodelers and 31 histone demethylases. dbEM maintains the genomic information like mutations, copy number variation and gene expression in thousands of tumor samples, cancer cell lines and healthy samples. This information is obtained from public resources viz. COSMIC, CCLE and 1000-genome project. Gene essentiality data retrieved from COLT database further highlights the importance of various epigenetic proteins for cancer survival. We have also reported the sequence profiles, tertiary structures and post-translational modifications of these epigenetic proteins in cancer. It also contains information of 54 drug molecules against different epigenetic proteins. A wide range of tools have been integrated in dbEM e.g. Search, BLAST, Alignment and Profile based prediction. In our analysis, we found that epigenetic proteins DNMT3A, HDAC2, KDM6A, and TET2 are highly mutated in variety of cancers. We are confident that dbEM will be very useful in cancer research particularly in the field of epigenetic proteins based cancer therapeutics. This database is available for public at URL: http://crdd.osdd.net/raghava/dbem.

Indexed as

Databases, GeneticEpigenomicsGenomicsDrug DiscoveryHumansNeoplasmsProteomicsQuantitative Structure-Activity RelationshipWeb Browser

Identifiers

PMID26777304
PMCPMC4726101

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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.