Evidence map›Paper›PMID 29599441›Full record

ArticleNature protocols2018

The successes and future prospects of the linear antisense RNA amplification methodology.

Jifen Li, James Eberwine

Abstract read
In one paragraph

Article in Nature protocols, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

7 citing papers in PubMed.

  1. Article
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  3. 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

2 authors.

Jifen LiUniversity of Pennsylvania, Philadelphia, Pennsylvania, USA.
James EberwineUniversity of Pennsylvania, Philadelphia, Pennsylvania, USA.

Funding

Role of Single Cell mRNA Variation in Systems Associated Electrically Excitable CU01MH098953 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI EBERWINE, JAMES H, KIM, JUNHYONG · 2012 to 2016
$11.4M
Evaluation of Cellular Heterogeneity Using Patchclamp and RNA-Seq of Single CellsU01MH098937 · NIMH · UNIVERSITY OF SOUTHERN CALIFORNIA · PI CHOW, ROBERT HSIU-PING, KNOWLES, JAMES A · 2012 to 2016
$8.6M
Neuronal ciRNA characterization and impact upon channel functioningR01MH110180 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI EBERWINE, JAMES H · 2016 to 2020
$3.2M
NIH HHS GM10005NIH HHS MH098953NIH HHS MH110180NIH HHS U01MH098937NIMH NIH HHS R01 MH110180NIMH NIH HHS U01 MH098937NIMH NIH HHS U01 MH098953
6 · The paper itself

Abstract

It has been over a quarter of a century since the introduction of the linear RNA amplification methodology known as antisense RNA (aRNA) amplification. Whereas most molecular biology techniques are rapidly replaced owing to the fast-moving nature of development in the field, the aRNA procedure has become a base that can be built upon through varied uses of the technology. The technique was originally developed to assess RNA populations from small amounts of starting material, including single cells, but over time its use has evolved to include the detection of various cellular entities such as proteins, RNA-binding-protein-associated cargoes, and genomic DNA. In this Perspective we detail the linear aRNA amplification procedure and its use in assessing various components of a cell's chemical phenotype. This procedure is particularly useful in efforts to multiplex the simultaneous detection of various cellular processes. These efforts are necessary to identify the quantitative chemical phenotype of cells that underlies cellular function.

Indexed as

Nucleic Acid Amplification TechniquesDNA, ComplementaryGene Expression ProfilingRNA, AntisenseDNA, ComplementaryRNA, Antisense

Identifiers

PMID29599441
PMCPMC7086549

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.