Evidence map›Paper›PMID 34337069›Full record

ArticleBioMed research international2021

Analysis and Construction of a Competitive Endogenous RNA Regulatory Network of Baicalin-Induced Apoptosis in Human Osteosarcoma Cells.

Haifeng Lan, Haiyan Wang, Mi Gao, Guan Luo, Jiahuan Zhang, Erkang Yi, Chunxiao Liang, Xiaoxiao Xiong, Xing Chen, Qinghua Wu and 4 more

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 44% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Autophagy Induction byPharmaceuticals (Basel, Switzerland) · 2023
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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

14 authors at 4 institutions in 1 country.

Haifeng LanDepartment of Orthopaedic Surgery, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China.
Haiyan WangGuangzhou Key Laboratory of Basic and Applied Research in Oral Regenerative Medicine, Affiliated Stomatology Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China.
Mi GaoGMU-GIBH Joint School of Life Sciences, Guangzhou Medical University, Guangzhou, Guangdong, China.
Guan LuoGuangzhou Key Laboratory of Basic and Applied Research in Oral Regenerative Medicine, Affiliated Stomatology Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China.
Jiahuan ZhangState Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China.
Erkang YiState Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China.
Chunxiao LiangState Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China.
Xiaoxiao XiongGMU-GIBH Joint School of Life Sciences, Guangzhou Medical University, Guangzhou, Guangdong, China.
Xing ChenGMU-GIBH Joint School of Life Sciences, Guangzhou Medical University, Guangzhou, Guangdong, China.
Qinghua WuThe Third Clinical School of Guangzhou Medical University, Guangzhou, Guangdong, China.
Ruikun ChenThe Third Clinical School of Guangzhou Medical University, Guangzhou, Guangdong, China.
Biting LinGMU-GIBH Joint School of Life Sciences, Guangzhou Medical University, Guangzhou, Guangdong, China.
Dongyang QianDepartment of Orthopaedics, The First Affiliated Hospital, Guangzhou Medical University/Guangdong Key Laboratory of Orthopaedic Technology and Implant Materials, Guangzhou, Guangdong, China.ORCID https://orcid.org/0000-0003-2377-479X
Wei HongGMU-GIBH Joint School of Life Sciences, Guangzhou Medical University, Guangzhou, Guangdong, China.ORCID https://orcid.org/0000-0003-0265-5863
Guangzhou Medical University · CNFirst Affiliated Hospital of Guangzhou Medical University · CNThird Affiliated Hospital of Guangzhou Medical University · CNStomatology Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBaicalin is an extract from the traditional Chinese herb

methodsIn this study, CCK-8 and flow cytometry assays were used to detect the antitumor effects of baicalin on human OS MG63 cells. Furthermore, transcriptome sequencing was employed to establish the long noncoding RNA (lncRNA), microRNA (miRNA), and mRNA profiles.

resultsBaicalin inhibited MG63 cell proliferation and induced apoptosis. Totals of 58 lncRNAs, 31 miRNAs, and 2136 mRNAs in the baicalin-treated MG63 cells were identified as differentially expressed RNAs compared to those in control cells. Of these, 2 lncRNAs, 3 miRNAs, and 18 mRNAs were included in the ceRNA regulatory network. The differentially expressed RNAs were confirmed by quantitative real-time PCR (qRT-PCR).

conclusionsBy identifying the ceRNA network, our results provide new information about the possible molecular basis of baicalin, which has potential applications in OS treatment.

Indexed as

Gene Regulatory NetworksApoptosisCell Line, TumorCell SurvivalFlavonoidsGene Expression ProfilingGene Expression Regulation, NeoplasticGene OntologyHumansMicroRNAsOsteosarcomaProtein Interaction MapsReproducibility of ResultsRNA, Long NoncodingRNA, MessengerRNA, NeoplasmbaicalinFlavonoidsMicroRNAsRNA, Long NoncodingRNA, MessengerRNA, Neoplasm

Identifiers

PMID34337069
PMCPMC8315844
OpenAlexW3131422026

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.