Evidence map›Paper›PMID 32206740›Full record

ArticleNon-coding RNA research2020

A bioinformatics approach to identify novel long, non-coding RNAs in breast cancer cell lines from an existing RNA-sequencing dataset.

Oza Zaheed, Julia Samson, Kellie Dean

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Non-coding RNA research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.3field-weighted citation impact, top 23% 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

9 citing papers in PubMed, 19 citations in OpenAlex.

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  9. International journal of molecular sciences · 2020
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Oza ZaheedSchool of Biochemistry and Cell Biology, Western Gateway Building, University College Cork, Cork, T12XF62, Ireland.
Julia SamsonSchool of Biochemistry and Cell Biology, Western Gateway Building, University College Cork, Cork, T12XF62, Ireland.
Kellie DeanSchool of Biochemistry and Cell Biology, Western Gateway Building, University College Cork, Cork, T12XF62, Ireland.
University College Cork · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer research has traditionally centred on genomic alterations, hormone receptor status and changes in cancer-related proteins to provide new avenues for targeted therapies. Due to advances in next generation sequencing technologies, there has been the emergence of long, non-coding RNAs (lncRNAs) as regulators of normal cellular events, with links to various disease states, including breast cancer. Here we describe our bioinformatic analyses of a previously published RNA sequencing (RNA-seq) dataset to identify lncRNAs with altered expression levels in a subset of breast cancer cell lines. Using a previously published RNA-seq dataset of 675 cancer cell lines, a subset of 18 cell lines was selected for our analyses that included 16 breast cancer lines, one ductal carcinoma

Indexed as

BioinformaticsBreast cancerDuctal carcinoma in situLong non-coding RNAs (lncRNAs) RNA sequencing (RNA-seq)Quantitative reverse transcriptase polymerase chain reaction (qRT-PCR)

Identifiers

PMID32206740
PMCPMC7078458
OpenAlexW3007574436

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.