Evidence map›Paper›PMID 27314339›Full record

ArticleInternational journal of molecular sciences2016

Comprehensive and Quantitative Proteomic Analysis of Metamorphosis-Related Proteins in the Veined Rapa Whelk, Rapana venosa.

Hao Song, Hai-Yan Wang, Tao Zhang

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
4.5field-weighted citation impact, top 6% 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

7 citing papers in PubMed, 21 citations in OpenAlex.

  1. Integrated mRNA and miRNA transcriptomic analysis reveals the response ofComputational and structural biotechnology journal · 2023
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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

3 authors at 1 institution in 1 country.

Hao SongInstitute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China. songhao13@mails.ucas.ac.cn.
Hai-Yan WangInstitute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China. haiyanwang@qdio.ac.cn.
Tao ZhangInstitute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China. tzhang@qdio.ac.cn.
Institute of Oceanology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Larval metamorphosis of the veined rapa whelk (Rapana venosa) is a pelagic to benthic transition that involves considerable structural and physiological changes. Because metamorphosis plays a pivotal role in R. venosa commercial breeding and natural populations, the endogenous proteins that drive this transition attract considerable interest. This study is the first to perform a comprehensive and quantitative proteomic analysis related to metamorphosis in a marine gastropod. We analyzed the proteomes of competent R. venosa larvae and post-larvae, resulting in the identification of 5312 proteins, including 470 that were downregulated and 668 that were upregulated after metamorphosis. The differentially expressed proteins reflected multiple processes involved in metamorphosis, including cytoskeleton and cell adhesion, ingestion and digestion, stress response and immunity, as well as specific tissue development. Our data improve understanding of the physiological traits controlling R. venosa metamorphosis and provide a solid basis for further study.

Indexed as

Metamorphosis, BiologicalProteomeProteomicsAnimalsComputational BiologyDatabases, ProteinGastropodaGene Expression ProfilingGene OntologyMolecular Sequence AnnotationTranscriptomeProteomedigital gene expressiongastropodlarvaRapana venosatranscriptome

Identifiers

PMID27314339
PMCPMC4926457
OpenAlexW2429196264

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.