Evidence map›Paper›PMID 24411463›Full record

ArticleBMB reports2014

Effects of different target sites on antisense RNA-mediated regulation of gene expression.

Hongmarn Park, Yeongseong Yoon, Shinae Suk, Ji Young Lee, Younghoon Lee

Open access · goldAbstract read
In one paragraph

Article in BMB reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.4field-weighted citation impact, top 35% 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

6 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Small Noncoding Regulatory RNAs fromInternational journal of molecular sciences · 2018
    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

5 authors at 1 institution in 1 country.

Hongmarn ParkDepartment of Chemistry, KAIST, Daejeon 305-701, Korea.
Yeongseong YoonKorea Science Academy of KAIST, Busan 614-822, Korea.
Shinae SukDepartment of Chemistry, KAIST, Daejeon 305-701, Korea.
Ji Young LeeDepartment of Chemistry, KAIST, Daejeon 305-701, Korea.
Younghoon LeeDepartment of Chemistry, KAIST, Daejeon 305-701, Korea.
Korea Advanced Institute of Science and Technology · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antisense RNA is a type of noncoding RNA (ncRNA) that binds to complementary mRNA sequences and induces gene repression by inhibiting translation or degrading mRNA. Recently, several small ncRNAs (sRNAs) have been identified in Escherichia coli that act as antisense RNA mainly via base pairing with mRNA. The base pairing predominantly leads to gene repression, and in some cases, gene activation. In the current study, we examined how the location of target sites affects sRNA-mediated gene regulation. An efficient antisense RNA expression system was developed, and the effects of antisense RNAs on various target sites in a model mRNA were examined. The target sites of antisense RNAs suppressing gene expression were identified, not only in the translation initiation region (TIR) of mRNA, but also at the junction between the coding region and 3' untranslated region. Surprisingly, an antisense RNA recognizing the upstream region of TIR enhanced gene expression through increasing mRNA stability.

Indexed as

Gene Expression Regulation, Bacterial3' Untranslated Regions5' Untranslated RegionsBase SequenceEscherichia coliNucleic Acid ConformationOpen Reading FramesPeptide Chain Initiation, TranslationalRNA, AntisenseRNA, MessengerRNA Stability3' Untranslated Regions5' Untranslated RegionsRNA, AntisenseRNA, Messenger

Identifiers

PMID24411463
PMCPMC4281340
OpenAlexW2122002209

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.