Evidence map›Paper›PMID 32670393›Full record

ArticleComputational and mathematical methods in medicine2020

Systematic Identification of lncRNA-Associated ceRNA Networks in Immune Thrombocytopenia.

Zhenwei Fan, Xuan Wang, Peng Li, Chunli Mei, Min Zhang, Chunshan Zhao, Yan Song

Open access · hybridAbstract read
In one paragraph

Article in Computational and mathematical methods in medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.4field-weighted citation impact, top 47% 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, 8 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Novel Biomarkers for Diagnosis and Monitoring of Immune Thrombocytopenia.International journal of molecular sciences · 2023
    Review
  5. Article
  6. Article
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

7 authors at 2 institutions in 1 country.

Zhenwei FanNursing College of Beihua University, Jilin 132013, China.
Xuan WangDepartment of Hematology, Affiliated Hospital of Beihua University, Jilin 132013, China.ORCID https://orcid.org/0000-0003-0743-543X
Peng LiDepartment of Oncology, Jilin Central Hospital, Jilin 132000, China.ORCID https://orcid.org/0000-0002-2329-932X
Chunli MeiNursing College of Beihua University, Jilin 132013, China.
Min ZhangNursing College of Beihua University, Jilin 132013, China.ORCID https://orcid.org/0000-0002-1644-3012
Chunshan ZhaoNursing College of Beihua University, Jilin 132013, China.
Yan SongNursing College of Beihua University, Jilin 132013, China.
Beihua University · CNJilin City Central Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Primary immune thrombocytopenia (ITP) is an autoimmune disease. However, the molecular mechanisms underlying ITP remained to be further investigated. In the present study, we analyzed a series of public datasets (including GSE43177 and GSE43178) and identified 468 upregulated mRNAs, 272 downregulated mRNAs, 134 upregulated lncRNAs, 23 downregulated lncRNAs, 29 upregulated miRNAs, and 39 downregulated miRNAs in ITP patients. Then, we constructed protein-protein interaction networks, miRNA-mRNA and lncRNA coexpression networks in ITP. Bioinformatics analysis showed these genes regulated multiple biological processes in ITP, such as mRNA nonsense-mediated decay, translation, cell-cell adhesion, proteasome-mediated ubiquitin, and mRNA splicing. We thought the present study could broaden our insights into the mechanism underlying the progression of ITP and provide a potential biomarker for the prognosis of ITP.

Indexed as

Computational BiologyDatabases, Nucleic AcidDisease ProgressionGene Expression RegulationGene Regulatory NetworksGenetic MarkersHumansMicroRNAsProtein Interaction MapsPurpura, Thrombocytopenic, IdiopathicRNA, Long NoncodingRNA, MessengerSignal TransductionGenetic MarkersMicroRNAsRNA, Long NoncodingRNA, Messenger

Identifiers

PMID32670393
PMCPMC7345964
OpenAlexW3039393093

What OpenQuestion holds

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LicenceCC BY
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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.