Evidence map›Paper›PMID 38674383›Full record

ArticleGenes2024

Predictive Role of Cluster Bean (

Sarika Sahu, Atmakuri Ramakrishna Rao, Tanmaya Kumar Sahu, Jaya Pandey, Shivangi Varshney, Archna Kumar, Kishor Gaikwad

Open access · goldAbstract read
In one paragraph

Article in Genes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.2field-weighted citation impact, top 18% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

7 authors at 4 institutions in 1 country.

Sarika SahuIndian Agricultural Statistics Research Institute, ICAR, New Delhi 110012, India.
Atmakuri Ramakrishna RaoIndian Agricultural Statistics Research Institute, ICAR, New Delhi 110012, India.ORCID 0000-0002-3914-6248
Tanmaya Kumar SahuIndian Grassland and Fodder Research Institute, ICAR, Jhansi 284003, India.
Jaya PandeyIndian Agricultural Statistics Research Institute, ICAR, New Delhi 110012, India.ORCID 0009-0000-9183-8535
Shivangi VarshneyIndian Agricultural Statistics Research Institute, ICAR, New Delhi 110012, India.
Archna KumarAmity Institute of Biotechnology, Amity University, Noida 201303, India.
Kishor GaikwadNational Institute for Plant Biotechnology, ICAR, New Delhi 110012, India.
Indian Agricultural Statistics Research Institute · INAmity University · INIndian Grassland and Fodder Research Institute · INNational Research Centre on Plant Biotechnology · IN

Funding

ICAR-Consortia Research Platform on Genomics and CABin Scheme Network project on Agricultural Bioinformatics and Computational Biology, received from Indian Council of Agricultural Research (ICAR). CRP-Genomics/IX/2017 and F.No. Agril.Edn. 14/2/2017-A&P dated 02.08.2017
6 · The paper itself

Abstract

MicroRNAs (miRNAs) are small non-coding conserved molecules with lengths varying between 18-25nt. Plants miRNAs are very stable, and probably they might have been transferred across kingdoms via food intake. Such miRNAs are also called exogenous miRNAs, which regulate the gene expression in host organisms. The miRNAs present in the cluster bean, a drought tolerant legume crop having high commercial value, might have also played a regulatory role for the genes involved in nutrients synthesis or disease pathways in animals including humans due to dietary intake of plant parts of cluster beans. However, the predictive role of miRNAs of cluster beans for gene-disease association across kingdoms such as cattle and humans are not yet fully explored. Thus, the aim of the present study is to (i) find out the cluster bean miRNAs (cb-miRs) functionally similar to miRNAs of cattle and humans and predict their target genes' involvement in the occurrence of complex diseases, and (ii) identify the role of cb-miRs that are functionally non-similar to the miRNAs of cattle and humans and predict their targeted genes' association with complex diseases in host systems. Here, we predicted a total of 33 and 15 functionally similar cb-miRs (fs-cb-miRs) to human and cattle miRNAs, respectively. Further, Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis revealed the participation of targeted genes of fs-cb-miRs in 24 and 12 different pathways in humans and cattle, respectively. Few targeted genes in humans like LCP2, GABRA6, and MYH14 were predicted to be associated with disease pathways of Yesinia infection (hsa05135), neuroactive ligand-receptor interaction (hsa04080), and pathogenic Escherichia coli infection (hsa05130), respectively. However, targeted genes of fs-cb-miRs in humans like KLHL20, TNS1, and PAPD4 are associated with Alzheimer's, malignant tumor of the breast, and hepatitis C virus infection disease, respectively. Similarly, in cattle, targeted genes like ATG2B and DHRS11 of fs-cb-miRs participate in the pathways of Huntington disease and steroid biosynthesis, respectively. Additionally, the targeted genes like SURF4 and EDME2 of fs-cb-miRs are associated with mastitis and bovine osteoporosis, respectively. We also found a few cb-miRs that do not have functional similarity with human and cattle miRNAs but are found to target the genes in the host organisms and as well being associated with human and cattle diseases. Interestingly, a few genes such as NRM, PTPRE and SUZ12 were observed to be associated with Rheumatoid Arthritis, Asthma and Endometrial Stromal Sarcoma diseases, respectively, in humans and genes like SCNN1B associated with renal disease in cattle.

Indexed as

MicroRNAsAnimalsCattleCattle DiseasesCyamopsisHumansRNA, PlantMicroRNAsRNA, Plantcattle diseasescross-kingdom analysisgene–disease associationhuman healthplant-derived miRNAs

Identifiers

PMID38674383
PMCPMC11049822
OpenAlexW4393388164

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.