Evidence map›Paper›PMID 28460090›Full record

ArticleNucleic acids research2017

Identification of active miRNA promoters from nuclear run-on RNA sequencing.

Qi Liu, Jing Wang, Yue Zhao, Chung-I Li, Kristy R Stengel, Pankaj Acharya, Gretchen Johnston, Scott W Hiebert, Yu Shyr

Open access · goldAbstract readComparative Study
In one paragraph

Article in Nucleic acids research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

23 citing papers in PubMed, 39 citations in OpenAlex.

  1. Article
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  5. 17β-estradiol promotes extracellular vesicle release and selective miRNA loading in ERα-positive breast cancer.Proceedings of the National Academy of Sciences of the United States of America · 2023
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  12. Genome-wide analysis of primary microRNA expression using H3K36me3 ChIP-seq data.Computational and structural biotechnology journal · 2021
    Article
  13. Review
  14. Article
  15. Identification of PparProceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  16. Review
  17. Review
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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.

Qi LiuCenter for Quantitative Sciences, Vanderbilt University School of Medicine, Nashville, TN 37232, USA.
Jing WangCenter for Quantitative Sciences, Vanderbilt University School of Medicine, Nashville, TN 37232, USA.
Yue ZhaoDepartment of Biochemistry, Vanderbilt University School of Medicine, Nashville, TN 37232, USA.
Chung-I LiDepartment of Statistics, National Cheng Kung University, Tainan 70101, Taiwan.
Kristy R StengelDepartment of Biochemistry, Vanderbilt University School of Medicine, Nashville, TN 37232, USA.
Pankaj AcharyaDepartment of Biochemistry, Vanderbilt University School of Medicine, Nashville, TN 37232, USA.
Gretchen JohnstonDepartment of Biochemistry, Vanderbilt University School of Medicine, Nashville, TN 37232, USA.
Scott W HiebertDepartment of Biochemistry, Vanderbilt University School of Medicine, Nashville, TN 37232, USA.
Yu ShyrCenter for Quantitative Sciences, Vanderbilt University School of Medicine, Nashville, TN 37232, USA.
Vanderbilt University · USNational Cheng Kung University · TW

Funding

BIOCHEMICAL &CHEMICAL TRAINING FOR CANCER RESEARCHT32CA009582 · NCI · VANDERBILT UNIVERSITY · PI David K Cortez · 1987 to 2026
$8.8M
Role of AML1-ETO in Acute LeukemiaR01CA064140 · NCI · VANDERBILT UNIVERSITY · PI HIEBERT, SCOTT W · 1994 to 2018
$5.7M
Hdac3 as a therapeutic target in BCL6-dependent lymphomaR01CA164605 · NCI · VANDERBILT UNIVERSITY · PI HIEBERT, SCOTT W · 2012 to 2022
$3.9M
Regulation of transcription and tumor suppression by MTG family membersR01CA178030 · NCI · VANDERBILT UNIVERSITY · PI HIEBERT, SCOTT W · 2014 to 2018
$1.8M
NCI NIH HHS R01 CA064140NCI NIH HHS R01 CA164605NCI NIH HHS R01 CA178030NCI NIH HHS T32 CA009582
6 · The paper itself

Abstract

The genome-wide identification of microRNA transcription start sites (miRNA TSSs) is essential for understanding how miRNAs are regulated in development and disease. In this study, we developed mirSTP (mirna transcription Start sites Tracking Program), a probabilistic model for identifying active miRNA TSSs from nascent transcriptomes generated by global run-on sequencing (GRO-seq) and precision run-on sequencing (PRO-seq). MirSTP takes advantage of characteristic bidirectional transcription signatures at active TSSs in GRO/PRO-seq data, and provides accurate TSS prediction for human intergenic miRNAs at a high resolution. MirSTP performed better than existing generalized and experiment specific methods, in terms of the enrichment of various promoter-associated marks. MirSTP analysis of 27 human cell lines in 183 GRO-seq and 28 PRO-seq experiments identified TSSs for 480 intergenic miRNAs, indicating a wide usage of alternative TSSs. By integrating predicted miRNA TSSs with matched ENCODE transcription factor (TF) ChIP-seq data, we connected miRNAs into the transcriptional circuitry, which provides a valuable source for understanding the complex interplay between TF and miRNA. With mirSTP, we not only predicted TSSs for 72 miRNAs, but also identified 12 primary miRNAs with significant RNA polymerase pausing alterations after JQ1 treatment; each miRNA was further validated through BRD4 binding to its predicted promoter. MirSTP is available at http://bioinfo.vanderbilt.edu/mirSTP/.

Indexed as

Promoter Regions, GeneticAlgorithmsCell LineDNA, IntergenicHigh-Throughput Nucleotide SequencingHumansMicroRNAsModels, StatisticalRNA, NuclearSequence Analysis, RNASoftwareTranscription Initiation SiteDNA, IntergenicMicroRNAsRNA, Nuclear

Identifiers

PMID28460090
PMCPMC5737662
OpenAlexW2607731986

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.