Evidence map›Paper›PMID 38267500›Full record

ArticleScientific reports2024

Identification of genes with oscillatory expression in glioblastoma: the paradigm of SOX2.

Richard Zhiming Fu, Oliver Cottrell, Luisa Cutillo, Andrew Rowntree, Zsolt Zador, Heiko Wurdak, Nancy Papalopulu, Elli Marinopoulou

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 pooled it
2.1field-weighted citation impact, top 14% 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, 2 syntheses or guidelines pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Review
  6. Article
  7. Review
  8. Review
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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

8 authors at 3 institutions in 2 countries.

Richard Zhiming FuDivision of Developmental Biology and Medicine, School of Medical Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Oxford Road, Manchester, M13 9PT, UK.
Oliver CottrellDivision of Developmental Biology and Medicine, School of Medical Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Oxford Road, Manchester, M13 9PT, UK.
Luisa CutilloSchool of Mathematics, University of Leeds, Woodhouse, Leeds, LS2 9JT, UK.
Andrew RowntreeDivision of Developmental Biology and Medicine, School of Medical Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Oxford Road, Manchester, M13 9PT, UK.
Zsolt ZadorDivision of Neurosurgery, Department of Surgery, St. Michael's Hospital, 36 Queen St E, Toronto, ON, M5B 1W8, Canada.
Heiko WurdakStem Cell and Brain Tumour Group, Leeds Institute of Medical Research at St James's, School of Medicine, University of Leeds, Leeds, LS9 7TF, UK.
Nancy PapalopuluDivision of Developmental Biology and Medicine, School of Medical Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Oxford Road, Manchester, M13 9PT, UK. nancy.papalopulu@manchester.ac.uk.
Elli MarinopoulouDivision of Developmental Biology and Medicine, School of Medical Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Oxford Road, Manchester, M13 9PT, UK. elli.marinopoulou@manchester.ac.uk.
University of Manchester · GBUniversity of Leeds · GBSt. Michael's Hospital · CA

Funding

Wellcome TrustWellcome Trust 201380/Z/16/ZWellcome Trust 203914/Z/16/ZWellcome Trust 224394/Z/21/Z
6 · The paper itself

Abstract

Quiescence, a reversible state of cell-cycle arrest, is an important state during both normal development and cancer progression. For example, in glioblastoma (GBM) quiescent glioblastoma stem cells (GSCs) play an important role in re-establishing the tumour, leading to relapse. While most studies have focused on identifying differentially expressed genes between proliferative and quiescent cells as potential drivers of this transition, recent studies have shown the importance of protein oscillations in controlling the exit from quiescence of neural stem cells. Here, we have undertaken a genome-wide bioinformatic inference approach to identify genes whose expression oscillates and which may be good candidates for controlling the transition to and from the quiescent cell state in GBM. Our analysis identified, among others, a list of important transcription regulators as potential oscillators, including the stemness gene SOX2, which we verified to oscillate in quiescent GSCs. These findings expand on the way we think about gene regulation and introduce new candidate genes as key regulators of quiescence.

Indexed as

GlioblastomaNeural Stem CellsCell DivisionComputational BiologyGene ExpressionHumansSOXB1 Transcription FactorsSOX2 protein, humanSOXB1 Transcription Factors

Identifiers

PMID38267500
PMCPMC10808450
OpenAlexW4391160915

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.