Evidence map›Paper›PMID 30010738›Full record

ArticleDatabase : the journal of biological databases and curation2018

HRPDviewer: human ribosome profiling data viewer.

Wei-Sheng Wu, Yu-Xuan Jiang, Jer-Wei Chang, Yu-Han Chu, Yi-Hao Chiu, Yi-Hong Tsao, Torbjörn E M Nordling, Yan-Yuan Tseng, Joseph T Tseng

Open access · goldAbstract read
In one paragraph

Article in Database : the journal of biological databases and curation, 2018. 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
0.6field-weighted citation impact, top 34% 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, 13 citations in OpenAlex.

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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

9 authors at 2 institutions in 2 countries.

Wei-Sheng WuDepartment of Electrical Engineering, National Cheng Kung University, No.1, University Road, Tainan City, Taiwan.
Yu-Xuan JiangDepartment of Electrical Engineering, National Cheng Kung University, No.1, University Road, Tainan City, Taiwan.
Jer-Wei ChangDepartment of Electrical Engineering, National Cheng Kung University, No.1, University Road, Tainan City, Taiwan.
Yu-Han ChuDepartment of Electrical Engineering, National Cheng Kung University, No.1, University Road, Tainan City, Taiwan.
Yi-Hao ChiuDepartment of Biotechnology and Bioindustry Sciences, National Cheng Kung University, No.1, University Road, Tainan City, Taiwan.
Yi-Hong TsaoDepartment of Biotechnology and Bioindustry Sciences, National Cheng Kung University, No.1, University Road, Tainan City, Taiwan.
Torbjörn E M NordlingDepartment of Mechanical Engineering, National Cheng Kung University, No.1, University Road, Tainan City, Taiwan.
Yan-Yuan TsengCenter for Molecular Medicine and Genetics, Wayne State University School of Medicine, Detroit, MI, USA.
Joseph T TsengDepartment of Biotechnology and Bioindustry Sciences, National Cheng Kung University, No.1, University Road, Tainan City, Taiwan.
National Cheng Kung University · TWWayne State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Translational regulation plays an important role in protein synthesis. Dysregulation of translation causes abnormal cell physiology and leads to diseases such as inflammatory disorders and cancers. An emerging technique, called ribosome profiling (ribo-seq), was developed to capture a snapshot of translation. It is based on deep sequencing of ribosome-protected mRNA fragments. A lot of ribo-seq data have been generated in various studies, so databases are needed for depositing and visualizing the published ribo-seq data. Nowadays, GWIPS-viz, RPFdb and TranslatomeDB are the three largest databases developed for this purpose. However, two challenges remain to be addressed. First, GWIPS-viz and RPFdb databases align the published ribo-seq data to the genome. Since ribo-seq data aim to reveal the actively translated mRNA transcripts, there are advantages of aligning ribo-req data to the transcriptome over the genome. Second, TranslatomeDB does not provide any visualization and the other two databases only provide visualization of the ribo-seq data around a specific genomic location, while simultaneous visualization of the ribo-seq data on multiple mRNA transcripts produced from the same gene or different genes is desired. To address these two challenges, we developed the Human Ribosome Profiling Data viewer (HRPDviewer). HRPDviewer (i) contains 610 published human ribo-seq datasets from Gene Expression Omnibus, (ii) aligns the ribo-seq data to the transcriptome and (iii) provides visualization of the ribo-seq data on the selected mRNA transcripts. Using HRPDviewer, researchers can compare the ribosome binding patterns of multiple mRNA transcripts from the same gene or different genes to gain an accurate understanding of protein synthesis in human cells. We believe that HRPDviewer is a useful resource for researchers to study translational regulation in human.Database URL: http://cosbi4.ee.ncku.edu.tw/HRPDviewer/ or http://cosbi5.ee.ncku.edu.tw/HRPDviewer/.

Indexed as

Databases, GeneticHumansProtein BiosynthesisRibosomesRNA, MessengerUser-Computer InterfaceRNA, Messenger

Identifiers

PMID30010738
PMCPMC6041748
OpenAlexW2835098650

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.