Evidence map›Paper›PMID 27824338›Full record

ArticleScientific data2016

ROCK signalling induced gene expression changes in mouse pancreatic ductal adenocarcinoma cells.

Nicola Rath, Gabriela Kalna, William Clark, Michael F Olson

Open access · goldAbstract readDataset
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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 29% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
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

4 authors at 2 institutions in 1 country.

Nicola RathCancer Research UK Beatson Institute, Garscube Estate, Switchback Road, Glasgow G61 1BD, UK.
Gabriela KalnaCancer Research UK Beatson Institute, Garscube Estate, Switchback Road, Glasgow G61 1BD, UK.
William ClarkCancer Research UK Beatson Institute, Garscube Estate, Switchback Road, Glasgow G61 1BD, UK.
Michael F OlsonCancer Research UK Beatson Institute, Garscube Estate, Switchback Road, Glasgow G61 1BD, UK.
Cancer Research UK · GBCancer Research UK Scotland Institute · GB

Funding

Cancer Research UK 18276
6 · The paper itself

Abstract

The RhoA and RhoC GTPases act via the ROCK1 and ROCK2 kinases to promote actomyosin contraction, resulting in directly induced changes in cytoskeleton structures and altered gene transcription via several possible indirect routes. Elevated activation of the Rho/ROCK pathway has been reported in several diseases and pathological conditions, including disorders of the central nervous system, cardiovascular dysfunctions and cancer. To determine how increased ROCK signalling affected gene expression in pancreatic ductal adenocarcinoma (PDAC) cells, we transduced mouse PDAC cell lines with retroviral constructs encoding fusion proteins that enable conditional activation of ROCK1 or ROCK2, and subsequently performed RNA sequencing (RNA-Seq) using the Illumina NextSeq 500 platform. We describe how gene expression datasets were generated and validated by comparing data obtained by RNA-Seq with RT-qPCR results. Activation of ROCK1 or ROCK2 signalling induced significant changes in gene expression that could be used to determine how actomyosin contractility influences gene transcription in pancreatic cancer.

Indexed as

Gene Expression Regulation, NeoplasticAdenocarcinomaAnimalsCarcinoma, Pancreatic DuctalCell Line, TumorHumansMicePancreatic Neoplasmsrho-Associated KinasesSignal TransductionTransfectionrho-Associated KinasesROCK1 protein, human

Identifiers

PMID27824338
PMCPMC5100681
OpenAlexW2553344228

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.