Evidence map›Paper›PMID 25181276›Full record

ArticleMolecular therapy. Nucleic acids2014

Probabilistic bidirectional promoter switches: noncoding RNA takes control.

Stephen K Anderson

Open access · goldAbstract read
In one paragraph

Article in Molecular therapy. Nucleic acids, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.9field-weighted citation impact, top 28% 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

11 citing papers in PubMed, 18 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

1 author at 1 institution in 1 country.

Stephen K Anderson1] Basic Science Program, Leidos Biomedical Research Inc; Lab of Experimental Immunology, Frederick National Lab, Frederick, Maryland, USA [2] The Cancer and Inflammation Program, Center for Cancer Research, National Cancer Institute, Frederick, Maryland, USA.
National Cancer Institute · US

Funding

Molecular Studies of Cellular CytotoxicityZIABC010013 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI ANDERSON, STEPHEN K · 2009 to 2025
$17.2M
CCR NIH HHS HHSN261200800001CNCI NIH HHS HHSN261200800001E
6 · The paper itself

Abstract

The discovery of probabilistic promoter switches in genes that code for class I major histocompatibility complex receptors in mouse and human provides a useful paradigm to explain programmed cell fate decisions. These switches have preset probabilities of transcribing in either the sense or antisense direction, and the characteristics of individual switches are programmed by the relative affinity of competing transcription factor-binding sites. The noncoding RNAs produced from these switches can either activate or suppress gene transcription, based on their location relative to the promoter responsible for gene expression in mature cells. The switches are active in a developmental phase that precedes gene expression by mature cells, thus temporally separating the stochastic events that determine gene activation from the protein expression phase. This allows the probabilistic generation of variegated gene expression in the absence of selection and ensures that mature cells have stable expression of the genes. Programmed probabilistic switches may control cell fate decisions in many developmental systems, and therefore, it is important to investigate noncoding RNAs expressed by progenitor cells to determine if they are expressed in a stochastic manner at the single cell level. This review provides a summary of current knowledge regarding murine and human switches, followed by speculation on the possible involvement of probabilistic switches in other systems of programmed differentiation.

Identifiers

PMID25181276
PMCPMC4222648
OpenAlexW1998489250

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.