Evidence map›Paper›PMID 26195298›Full record

ArticleScientific reports2015

Nonfunctional ingestion of plant miRNAs in silkworm revealed by digital droplet PCR and transcriptome analysis.

Ling Jia, Dayan Zhang, Zhonghuai Xiang, Ningjia He

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
3.8field-weighted citation impact, top 7% 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

17 citing papers in PubMed, 36 citations in OpenAlex.

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  13. miRNA-Mediated Interactions in and between Plants and Insects.International journal of molecular sciences · 2018
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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

4 authors at 2 institutions in 1 country.

Ling JiaState Key Laboratory of Silkworm Genome Biology, Southwest University, Beibei, Chongqing 400715, P. R. China.
Dayan ZhangState Key Laboratory of Silkworm Genome Biology, Southwest University, Beibei, Chongqing 400715, P. R. China.
Zhonghuai XiangState Key Laboratory of Silkworm Genome Biology, Southwest University, Beibei, Chongqing 400715, P. R. China.
Ningjia HeState Key Laboratory of Silkworm Genome Biology, Southwest University, Beibei, Chongqing 400715, P. R. China.
Southwest University · CNState Key Laboratory of Silkworm Genomic Biology

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since a plant miRNA (miR168) cross-regulating a mammalian transcript was reported, miRNA-mediated cross-kingdom communication has become one of the most compelling but controversial topics. In the present study, we used silkworm and mulberry, which is a model for studies on the interactions between the insect and its host plant, to address whether miRNA-mediated cross-kingdom communication is a common phenomenon. The results of TA clone, Sanger sequencing and droplet digital PCR demonstrated that several mulberry-derived miRNAs could enter to silkworm hemolymph and multiple tested tissues. Synthetic miR166b was also detected in hemolymph and fat body. However, the ingestion of synthetic miR166b did not play roles in silkworm physiological progress, which was revealed by RNA-seq analyses, RT-PCR, and phenotypic investigations. Mulberry miRNAs are convincingly transferred to the silkworm orally and no physiological process associated with the miRNAs was demonstrable. The results provided a new aspect of cross-kingdom miRNA transfer.

Indexed as

Feeding BehaviorAnimalsBombyxFat BodyGene Expression ProfilingGene Expression RegulationHemolymphLarvaMicroRNAsMorusPhenotypePolymerase Chain ReactionRNA, PlantSequence Analysis, RNAMicroRNAsRNA, Plant

Identifiers

PMID26195298
PMCPMC4508662
OpenAlexW2259020384

What OpenQuestion holds

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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.