Evidence map›Paper›PMID 27089325›Full record

ArticleInternational journal of molecular sciences2016

Prediction of Toxin Genes from Chinese Yellow Catfish Based on Transcriptomic and Proteomic Sequencing.

Bing Xie, Xiaofeng Li, Zhilong Lin, Zhiqiang Ruan, Min Wang, Jie Liu, Ting Tong, Jia Li, Yu Huang, Bo Wen and 2 more

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
3.3field-weighted citation impact, top 8% 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, 18 citations in OpenAlex.

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  7. A review on theThe journal of venomous animals and toxins including tropical diseases · 2016
    Review
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

12 authors at 2 institutions in 1 country.

Bing XieSection on Marine biobank, China National Genebank, Shenzhen 518083, China. xiebing@genomics.cn.
Xiaofeng LiSection on Marine biobank, China National Genebank, Shenzhen 518083, China. bgistone@163.com.
Zhilong LinBGI-Shenzhen, Shenzhen 518083, China. linzhilong@genomics.cn.
Zhiqiang RuanShenzhen Key Lab of Marine Genomics, Guangdong Provincial Key Lab of Molecular Breeding in Marine Economic Animals, Shenzhen 518083, China. ruanzhiqiang@genomics.cn.
Min WangShenzhen Key Lab of Marine Genomics, Guangdong Provincial Key Lab of Molecular Breeding in Marine Economic Animals, Shenzhen 518083, China. wangmin2@genomics.cn.
Jie LiuBGI-Shenzhen, Shenzhen 518083, China. liujie8@genomics.cn.
Ting TongBGI-Shenzhen, Shenzhen 518083, China. tongting@genomics.cn.
Jia LiShenzhen Key Lab of Marine Genomics, Guangdong Provincial Key Lab of Molecular Breeding in Marine Economic Animals, Shenzhen 518083, China. lijia1@genomics.cn.
Yu HuangShenzhen Key Lab of Marine Genomics, Guangdong Provincial Key Lab of Molecular Breeding in Marine Economic Animals, Shenzhen 518083, China. huangyu@genomics.cn.
Bo WenBGI-Shenzhen, Shenzhen 518083, China. wenbo@genomics.cn.
Ying SunSection on Marine biobank, China National Genebank, Shenzhen 518083, China. ying_sun09@icloud.com.
Qiong ShiBGI-Shenzhen, Shenzhen 518083, China. shiqiong@genomics.cn.
BGI Group (China) · CNChina National GeneBank · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fish venom remains a virtually untapped resource. There are so few fish toxin sequences for reference, which increases the difficulty to study toxins from venomous fish and to develop efficient and fast methods to dig out toxin genes or proteins. Here, we utilized Chinese yellow catfish (Pelteobagrus fulvidraco) as our research object, since it is a representative species in Siluriformes with its venom glands embedded in the pectoral and dorsal fins. In this study, we set up an in-house toxin database and a novel toxin-discovering protocol to dig out precise toxin genes by combination of transcriptomic and proteomic sequencing. Finally, we obtained 15 putative toxin proteins distributed in five groups, namely Veficolin, Ink toxin, Adamalysin, Za2G and CRISP toxin. It seems that we have developed a novel bioinformatics method, through which we could identify toxin proteins with high confidence. Meanwhile, these toxins can also be useful for comparative studies in other fish and development of potential drugs.

Indexed as

Amino Acid SequenceAnimalsCatfishesFish ProteinsGene Expression ProfilingGenomicsMarine ToxinsProteomicsTranscriptomeFish ProteinsMarine ToxinsChinese yellow catfishproteometranscriptomevenom

Identifiers

PMID27089325
PMCPMC4849012
OpenAlexW2342316537

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.