Evidence map›Paper›PMID 28248923›Full record

ArticleScientific data2017

Image-based siRNA screen to identify kinases regulating Weibel-Palade body size control using electroporation.

Robin Ketteler, Jamie Freeman, Francesco Ferraro, Nicole Bata, Dan F Cutler, Janos Kriston-Vizi, Nicola Stevenson

Erratum issuedOpen access · goldAbstract readDataset
In one paragraph

Article in Scientific data, 2017. 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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 32% 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

6 citing papers in PubMed, 15 citations in OpenAlex.

  1. Automated high-content imaging in iPSC-derived neuronal progenitors.SLAS discovery : advancing life sciences R & D · 2023
    Article
  2. Article
  3. Article
  4. Modulation of endothelial organelle size as an antithrombotic strategy.Journal of thrombosis and haemostasis : JTH · 2020
    Article
  5. Article
  6. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Robin KettelerMRC Laboratory for Molecular Cell Biology, University College London, Gower Street, London WC1E 6BT, UK.
Jamie FreemanMRC Laboratory for Molecular Cell Biology, University College London, Gower Street, London WC1E 6BT, UK.
Francesco FerraroMRC Laboratory for Molecular Cell Biology, University College London, Gower Street, London WC1E 6BT, UK.
Nicole BataMRC Laboratory for Molecular Cell Biology, University College London, Gower Street, London WC1E 6BT, UK.
Dan F CutlerMRC Laboratory for Molecular Cell Biology, University College London, Gower Street, London WC1E 6BT, UK.ORCID 0000-0002-4288-7530
Janos Kriston-ViziMRC Laboratory for Molecular Cell Biology, University College London, Gower Street, London WC1E 6BT, UK.ORCID 0000-0002-0149-145X
Nicola StevensonMRC Laboratory for Molecular Cell Biology, University College London, Gower Street, London WC1E 6BT, UK.
MRC Laboratory for Molecular Cell Biology · GB

Funding

Medical Research Council MC_EX_G0800785Medical Research Council MC_UU_00012/2Medical Research Council MC_UU_12018/2Medical Research Council MR/M02492X/1Wellcome Trust
6 · The paper itself

Abstract

High-content screening of kinase inhibitors is important in order to identify biogenesis and function mechanisms of subcellular organelles. Here, we present a human kinome siRNA high-content screen on primary human umbilical vein endothelial cells, that were transfected by electroporation. The data descriptor contains a confocal fluorescence, microscopic image dataset. We also describe an open source, automated image analysis workflow that can be reused to perform high-content analysis of other organelles. This dataset is suitable for analysis of morphological parameters that are linked to human umbilical vein endothelial cell (HUVEC) biology.

Indexed as

Weibel-Palade BodiesCell LineElectroporationEndothelium, VascularHumansProtein KinasesRNA, Small InterferingProtein KinasesRNA, Small Interfering

Identifiers

PMID28248923
PMCPMC5332014
OpenAlexW4210745500

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.