Evidence map›Paper›PMID 27377824›Full record

ArticleScientific data2016

Long non-coding RNA expression profiling in the NCI60 cancer cell line panel using high-throughput RT-qPCR.

Pieter Mestdagh, Steve Lefever, Pieter-Jan Volders, Stefaan Derveaux, Jan Hellemans, Jo Vandesompele

Abstract readComment
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific data, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Pieter MestdaghCenter for Medical Genetics, Ghent University, 9000 Ghent, Belgium.
Steve LefeverCenter for Medical Genetics, Ghent University, 9000 Ghent, Belgium.
Pieter-Jan VoldersCenter for Medical Genetics, Ghent University, 9000 Ghent, Belgium.
Stefaan DerveauxCenter for Medical Genetics, Ghent University, 9000 Ghent, Belgium.
Jan HellemansBiogazelle, 9052 Zwijnaarde, Belgium.
Jo VandesompeleCenter for Medical Genetics, Ghent University, 9000 Ghent, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Long non-coding RNAs (lncRNAs) form a new class of RNA molecules implicated in various aspects of protein coding gene expression regulation. To study lncRNAs in cancer, we generated expression profiles for 1707 human lncRNAs in the NCI60 cancer cell line panel using a high-throughput nanowell RT-qPCR platform. We describe how qPCR assays were designed and validated and provide processed and normalized expression data for further analysis. Data quality is demonstrated by matching the lncRNA expression profiles with phenotypic and genomic characteristics of the cancer cell lines. This data set can be integrated with publicly available omics and pharmacological data sets to uncover novel associations between lncRNA expression and mRNA expression, miRNA expression, DNA copy number, protein coding gene mutation status or drug response.

Indexed as

Gene Expression ProfilingCell LineHumansNeoplasmsReal-Time Polymerase Chain ReactionRNA, Long NoncodingRNA, Long Noncoding

Identifiers

PMID27377824
PMCPMC4932877

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.