Evidence map›Paper›PMID 29462160›Full record

ArticlePloS one2018

Identifying potential maternal genes of Bombyx mori using digital gene expression profiling.

Meirong Zhang, Sheng Qin, Pingzhen Xu, Guozheng Zhang

Abstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Expression Analysis of mRNA Decay of Maternal Genes duringInternational journal of molecular sciences · 2019
    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

4 authors.

Meirong ZhangSchool of Biotechnology, Jiangsu University of Science and Technology, Zhenjiang Jiangsu, China.
Sheng QinSchool of Biotechnology, Jiangsu University of Science and Technology, Zhenjiang Jiangsu, China.
Pingzhen XuSchool of Biotechnology, Jiangsu University of Science and Technology, Zhenjiang Jiangsu, China.
Guozheng ZhangSchool of Biotechnology, Jiangsu University of Science and Technology, Zhenjiang Jiangsu, China.ORCID 0000-0003-2358-0864

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Maternal genes present in mature oocytes play a crucial role in the early development of silkworm. Although maternal genes have been widely studied in many other species, there has been limited research in Bombyx mori. High-throughput next generation sequencing provides a practical method for gene discovery on a genome-wide level. Herein, a transcriptome study was used to identify maternal-related genes from silkworm eggs. Unfertilized eggs from five different stages of early development were used to detect the changing situation of gene expression. The expressed genes showed different patterns over time. Seventy-six maternal genes were annotated according to homology analysis with Drosophila melanogaster. More than half of the differentially expressed maternal genes fell into four expression patterns, while the expression patterns showed a downward trend over time. The functional annotation of these material genes was mainly related to transcription factor activity, growth factor activity, nucleic acid binding, RNA binding, ATP binding, and ion binding. Additionally, twenty-two gene clusters including maternal genes were identified from 18 scaffolds. Altogether, we plotted a profile for the maternal genes of Bombyx mori using a digital gene expression profiling method. This will provide the basis for maternal-specific signature research and improve the understanding of the early development of silkworm.

Indexed as

Gene Expression ProfilingGenomic ImprintingAnimalsBombyxDrosophila melanogasterFemaleMaternal InheritanceReal-Time Polymerase Chain Reaction

Identifiers

PMID29462160
PMCPMC5819784

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LicenceCC BY
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Registered trials

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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.