Evidence map›Paper›PMID 32308267›Full record

ArticleBioinformation2020

Mining of miRNAs from EST data in Dendrobium nobile.

Debasish B Krishnatreya, Pooja Moni Baruah, Bhaskar Dowarah, Kuntala Sarma Bordoloi, Heena Agarwal, Niraj Agarwala

Abstract read
In one paragraph

Article in Bioinformation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Heliyon · 2021
    Article
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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

6 authors.

Debasish B KrishnatreyaDepartment of Botany, Gauhati University, Guwahati, Assam, India - 7810014.
Pooja Moni BaruahDepartment of Botany, Gauhati University, Guwahati, Assam, India - 7810014.
Bhaskar DowarahDepartment of Botany, Gauhati University, Guwahati, Assam, India - 7810014.
Kuntala Sarma BordoloiDepartment of Botany, Gauhati University, Guwahati, Assam, India - 7810014.
Heena AgarwalDepartment of Botany, Gauhati University, Guwahati, Assam, India - 7810014.
Niraj AgarwalaDepartment of Botany, Gauhati University, Guwahati, Assam, India - 7810014.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dendrobium nobile is an orchid species highly popular for its therapeutic properties and is often used as a medicinal herb. Documenting miRNA-target associations in D. nobile is an important step to facilitate functional genomics studies in this species. Therefore, it is of interest to identify miRNA sequences from EST data available in public databases using known techniques and tools. We report 14 potential miRNAs from three ESTs of D. nobile. They belong to 3 miRNA families (miR390, miR528 and miR414) linking to transcription factor regulation, signal transduction, DNA and protein binding, and various cellular processes covering 34 different metabolic networks in KEGG. These results help in the understanding of miRNA-mRNAs functional networks in Dendrobium nobile.

Indexed as

Dendrobium nobileExpressed Sequence Tagsin silicomiRNA

Identifiers

PMID32308267
PMCPMC7147496

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