Evidence map›Paper›PMID 30987607›Full record

ArticleBMC genomics2019

Selective translational usage of TSS and core promoters revealed by translatome sequencing.

Hua Li, Ling Bai, Hongmei Li, Xinhui Li, Yani Kang, Ningbo Zhang, Jielin Sun, Zhifeng Shao

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 48% 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

2 citing papers in PubMed, 6 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

8 authors at 1 institution in 1 country.

Hua LiState Key laboratory for Oncogenes and Bio-ID Center, School of Biomedical Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai, 200240, China. kaikaixinxin@sjtu.edu.cn.ORCID http://orcid.org/0000-0003-2153-2500
Ling BaiState Key laboratory for Oncogenes and Bio-ID Center, School of Biomedical Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai, 200240, China. lbai@sjtu.edu.cn.
Hongmei LiInstrumental Analysis Center, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai, 200240, China.
Xinhui LiState Key laboratory for Oncogenes and Bio-ID Center, School of Biomedical Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai, 200240, China.
Yani KangState Key laboratory for Oncogenes and Bio-ID Center, School of Biomedical Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai, 200240, China.
Ningbo ZhangKey Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai, 200240, China.
Jielin SunKey Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai, 200240, China.
Zhifeng ShaoState Key laboratory for Oncogenes and Bio-ID Center, School of Biomedical Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai, 200240, China.
Shanghai Jiao Tong University · CN

Funding

Laboratory Innovative Research Program of Shanghai Jiao Tong University 17SJ-18Ministry of Science and Technology of the People's Republic of China 2014YQ090709National Natural Science Foundation of China 11374207National Natural Science Foundation of China 31501054National Natural Science Foundation of China 81627801Science and Technology Commission of Shanghai Municipality 17JC1400804The Open Large Infrastructure Research of Chinese Academy of Sciences 18H100000104
6 · The paper itself

Abstract

backgroundIn mammals, fine-tuned regulation of gene expression leads to transcription initiation from diverse transcription start sites (TSSs) and multiple core promoters. Although polysome association is a critical step in translation, whether polysome selectively uses TSSs and core promoters and how this could impact translation remains elusive.

resultsIn this study, we used CAGE followed by deep sequencing to globally profile the transcript 5' isoforms in the translatome and transcriptome of human HEK293 cells at single-nucleotide resolution. By comparing the two profiles, we identified the 5' isoforms preferentially used in translatome and revealed a widespread selective usage of TSSs (32.0%) and core promoters (48.7%) by polysome. We discovered the transcription initiation patterns and the sequence characteristics that were highly correlated with polysome selection. We further identified 5804 genes significantly enriched or depleted in translatome and showed that polysome selection was an important contributing factor to the abundance of related gene products. Moreover, after comparison with public transcriptome CAGE data from 180 human tissues and primary cells, we raised a question on whether it is a widely adopted mechanism to regulate translation efficiency by changing the transcription initiation sites on the transcription level in cells of different conditions.

conclusionsUsing HEK293 cells as a model, we delineated an indirect selection toward TSSs and core promoters by the translation machinery. Our findings lend additional evidence for a much closer coordination between transcription and translation, warranting future translatome studies in more cell types and conditions to develop a more intricate regulatory model for gene expression.

Indexed as

Protein BiosynthesisSequence AnalysisTranscription Initiation SiteGene Expression ProfilingHEK293 CellsHumansPromoter Regions, GeneticRNA, MessengerRNA, MessengerCAGECore promoterPolysome selectionTranslatome sequencingTSS profiling

Identifiers

PMID30987607
PMCPMC6463679
OpenAlexW2948004439

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.