Evidence map›Paper›PMID 30108332›Full record

ArticleScientific reports2018

Unbiased shRNA screening, using a combination of FACS and high-throughput sequencing, enables identification of novel modifiers of Polycomb silencing.

Kenichi Nishioka, Hitomi Miyazaki, Hidenobu Soejima

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. 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 37% 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, 10 citations in OpenAlex.

  1. Article
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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

3 authors at 1 institution in 1 country.

Kenichi NishiokaDivision of Molecular Genetics and Epigenetics, Department of Biomolecular Sciences, Faculty of Medicine, Saga University, 5-1-1 Nabeshima, Saga City, Saga, 849-8501, Japan. kenichi.nishioka@riken.jp.
Hitomi MiyazakiDivision of Molecular Genetics and Epigenetics, Department of Biomolecular Sciences, Faculty of Medicine, Saga University, 5-1-1 Nabeshima, Saga City, Saga, 849-8501, Japan.
Hidenobu SoejimaDivision of Molecular Genetics and Epigenetics, Department of Biomolecular Sciences, Faculty of Medicine, Saga University, 5-1-1 Nabeshima, Saga City, Saga, 849-8501, Japan.
Saga University · JP

Funding

Japan Science and Technology Agency (JST) PRESTOJapan Society for the Promotion of Science (JSPS) KAKENHI JP16K07451Japan Society for the Promotion of Science (JSPS) KAKENHI JP17K08687
6 · The paper itself

Abstract

Polycomb silencing is an important and rapidly growing field that is relevant to a broad range of aspects of human health, including cancer and stem cell biology. To date, the regulatory mechanisms for the fine-tuning of Polycomb silencing remain unclear, but it is likely that there is a series of unidentified factors that functionally modify or balance the silencing. However, a practical gene screening strategy for identifying such factors has not yet been developed. The failure of screening strategies used thus far is probably due to the effect of the loss-of-function phenotypes of these factors on cell cycle progression. Here, by applying fluorescence-activated cell sorter (FACS) and high-throughput sequencing (HTS) technology in a large-scale lentivirus-mediated shRNA screening, we obtained a consecutive dataset from all shRNAs tested, which highlighted a substantial number of genes that may control Polycomb silencing. We consider that this unbiased strategy can readily be applied to a wide range of studies to uncover novel regulatory layers for expression of genes of interest.

Indexed as

AnimalsCell Line, TumorCell SeparationDatasets as TopicFlow CytometryGenes, ReporterGenetic VectorsHigh-Throughput Nucleotide SequencingHigh-Throughput Screening AssaysLentivirusMiceMouse Embryonic Stem CellsPolycomb-Group ProteinsRNA InterferenceRNA, Small InterferingPolycomb-Group ProteinsRNA, Small Interfering

Identifiers

PMID30108332
PMCPMC6092423
OpenAlexW2886505573

What OpenQuestion holds

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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.