Evidence map›Paper›PMID 36507075›Full record

ArticleCancer informatics2022

Single-Cell Transcriptome Analysis Reveals Paraspeckles Expression in Osteosarcoma Tissues.

Emel Rothzerg, Wenyu Feng, Dezhi Song, Hengyuan Li, Qingjun Wei, Archa Fox, David Wood, Jiake Xu, Yun Liu

Open access · goldAbstract read
In one paragraph

Article in Cancer informatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

15 citing papers in PubMed, 17 citations in OpenAlex.

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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

9 authors at 4 institutions in 2 countries.

Emel RothzergSchool of Biomedical Sciences, The University of Western Australia, Perth, WA, Australia.
Wenyu FengDepartment of Orthopaedics, Second Affiliated Hospital of Guangxi Medical University, Nanning, China.
Dezhi SongSchool of Biomedical Sciences, The University of Western Australia, Perth, WA, Australia.
Hengyuan LiSchool of Biomedical Sciences, The University of Western Australia, Perth, WA, Australia.
Qingjun WeiDepartment of Orthopaedics, First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Archa FoxSchool of Human Sciences and Molecular Sciences, The University of Western Australia and Harry Perkins Institute of Medical Research, Centre for Medical Research, The University of Western Australia, Perth, WA, Australia.
David WoodMedical School, The University of Western Australia, Perth, WA, Australia.
Jiake XuSchool of Biomedical Sciences, The University of Western Australia, Perth, WA, Australia.
Yun LiuSchool of Biomedical Sciences, The University of Western Australia, Perth, WA, Australia.
University of Western Australia · AUGuangxi Medical University · CNFirst Affiliated Hospital of GuangXi Medical University · CNSecond Affiliated Hospital of Zhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nuclear paraspeckles are subnuclear bodies contracted by nuclear-enriched abundant transcript 1 (NEAT1) long non-coding RNA, localised in the interchromatin space of mammalian cell nuclei. Paraspeckles have been critically involved in tumour progression, metastasis and chemoresistance. To this date, there are limited findings to suggest that paraspeckles, NEAT1 and heterogeneous nuclear ribonucleoproteins (hnRNPs) directly or indirectly play roles in osteosarcoma progression. Herein, we analysed NEAT1, paraspeckle proteins (SFPQ, PSPC1 and NONO) and hnRNP members (HNRNPK, HNRNPM, HNRNPR and HNRNPD) gene expression in 6 osteosarcoma tumour tissues using the single-cell RNA-sequencing method. The normalised data highlighted that the paraspeckles transcripts were highly abundant in osteoblastic OS cells, except NEAT1, which was highly expressed in myeloid cell 1 and 2 subpopulations.

Indexed as

hnRNPlncRNANEAT1Osteosarcomaparaspecklessingle cell RNA sequencingtumour microenvironment

Identifiers

PMID36507075
PMCPMC9730017
OpenAlexW4311284748

What OpenQuestion holds

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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.