Evidence map›Paper›PMID 34530991›Full record

ArticleGene2019

Development of a high efficient promoter finding method based on transient transfection.

Yao Lu, Qilong Li, Kexin Zheng, Chenghao Fu, Chunying Jiang, Dayu Zhou, Chao Xia, Shiliang Ma

Abstract read
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In one paragraph

Article in Gene, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Yao LuCollege of Bioscience and Biotechnology, Shenyang Agricultural University, Shenyang, Liaoning, PR China.
Qilong LiCollege of Bioscience and Biotechnology, Shenyang Agricultural University, Shenyang, Liaoning, PR China.
Kexin ZhengCollege of Food Science and Technology, Shenyang Agricultural University, Shenyang, Liaoning, PR China.
Chenghao FuCollege of Bioscience and Biotechnology, Shenyang Agricultural University, Shenyang, Liaoning, PR China.
Chunying JiangCollege of Bioscience and Biotechnology, Shenyang Agricultural University, Shenyang, Liaoning, PR China.
Dayu ZhouCollege of Food Science and Technology, Shenyang Agricultural University, Shenyang, Liaoning, PR China.
Chao XiaCollege of Bioscience and Biotechnology, Shenyang Agricultural University, Shenyang, Liaoning, PR China.
Shiliang MaCollege of Bioscience and Biotechnology, Shenyang Agricultural University, Shenyang, Liaoning, PR China. Electronic address: msl@syau.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In metazoan genome, the mechanism of gene expression regulation between transcriptional regulatory elements and their target gene is spatiotemporal. Active promoters possess many specific chromosomal features, such as hypersensitive to DNaseI and enrichment of specific histone modifications. In this article, we proposed a novel method which possesses a high efficiency to find promoters in vitro. A promoter-trap library was constructed with totally 706 random mouse genomic DNA fragment clones, and 260 promoter-active fragments of the library were screened by transient transfection into 4T1 cells. To demonstrate the accuracy of this promoter finding method, 13 fragments with promoter activities were randomly selected for published DNase-seq and ChIP-seq data analysis, downstream transcripts prediction and expression confirmation. qRT-PCR results showed that six predicted transcription units were successfully amplified in different mouse tissues/cells or in reconstituted mouse mammary tumors. Our results indicate that this promoter finding method can successfully detect the promoter-active fragments and their downstream transcripts.

Indexed as

BioinformaticsCancer-specific promoterGene expression regulationGene findingMouse breast cancerPromoter trap

Identifiers

What OpenQuestion holds

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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.