Evidence map›Paper›PMID 32128558›Full record

ArticleDatabase : the journal of biological databases and curation2020

LeukmiR: a database for miRNAs and their targets in acute lymphoblastic leukemia.

Abdul Rawoof, Guruprasadh Swaminathan, Shrish Tiwari, Rekha A Nair, Lekha Dinesh Kumar

Open access · goldAbstract read
In one paragraph

Article in Database : the journal of biological databases and curation, 2020. 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
0.9field-weighted citation impact, top 30% 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

8 citing papers in PubMed, 16 citations in OpenAlex.

  1. Review
  2. MiRNAs in Hematopoiesis and Acute Lymphoblastic Leukemia.International journal of molecular sciences · 2023
    Review
  3. Review
  4. Review
  5. Review
  6. Review
  7. Non-Coding RNA Signatures of B-Cell Acute Lymphoblastic Leukemia.International journal of molecular sciences · 2021
    Review
  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

5 authors at 2 institutions in 1 country.

Abdul RawoofCancer Biology, CSIR-Centre for Cellular and Molecular Biology, (CCMB), Uppal Road, Hyderabad, 500007, India.
Guruprasadh SwaminathanCancer Biology, CSIR-Centre for Cellular and Molecular Biology, (CCMB), Uppal Road, Hyderabad, 500007, India.
Shrish TiwariBioinformatics, CSIR-Centre for Cellular and Molecular Biology, (CCMB), Uppal Road, Hyderabad, 500007, India.
Rekha A NairDepartment of Pathology, Regional Cancer Centre (RCC), Medical College Campus, Trivandrum, 695011, India.
Lekha Dinesh KumarCancer Biology, CSIR-Centre for Cellular and Molecular Biology, (CCMB), Uppal Road, Hyderabad, 500007, India.
Centre for Cellular and Molecular Biology · INRegional Cancer Center, Thiruvananthapuram · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute lymphoblastic leukemia (ALL) is one of the most common hematological malignancies in children. Recent studies suggest the involvement of multiple microRNAs in the tumorigenesis of various leukemias. However, until now, no comprehensive database exists for miRNAs and their cognate target genes involved specifically in ALL. Therefore, we developed 'LeukmiR' a dynamic database comprising in silico predicted microRNAs, and experimentally validated miRNAs along with the target genes they regulate in mouse and human. LeukmiR is a user-friendly platform with search strings for ALL-associated microRNAs, their sequences, description of target genes, their location on the chromosomes and the corresponding deregulated signaling pathways. For the user query, different search modules exist where either quick search can be carried out using any fuzzy term or by providing exact terms in specific modules. All entries for both human and mouse genomes can be retrieved through multiple options such as miRNA ID, their accession number, sequence, target genes, Ensemble-ID or Entrez-ID. User can also access miRNA: mRNA interaction networks in different signaling pathways, the genomic location of the targeted regions such as 3'UTR, 5'UTR and exons with their gene ontology and disease ontology information in both human and mouse systems. Herein, we also report 51 novel microRNAs which are not described earlier for ALL. Thus, LeukmiR database will be a valuable source of information for researchers to understand and investigate miRNAs and their targets with diagnostic and therapeutic potential in ALL. Database URL: http://tdb.ccmb.res.in/LeukmiR/.

Indexed as

Databases, GeneticGene Expression Regulation, Leukemic5' Untranslated RegionsAnimalsComputational BiologyData MiningGene Expression ProfilingGene OntologyGene Regulatory NetworksHumansInternetMiceMicroRNAsPrecursor Cell Lymphoblastic Leukemia-LymphomaUser-Computer Interface5' Untranslated RegionsMicroRNAs

Identifiers

PMID32128558
PMCPMC7054207
OpenAlexW3009551738

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.