Evidence map›Paper›PMID 31595148›Full record

ArticleInternational journal of biological sciences2019

Co-expression network analysis of lncRNAs and mRNAs in rat liver tissue reveals the complex interactions in response to pathogenic cytotoxicity.

Dongliang Leng, Chen Huang, Kuan Cheok Lei, Shixue Sun, Baoqing Sun, Xiaohua Douglas Zhang

Open access · goldAbstract read
In one paragraph

Article in International journal of biological sciences, 2019. 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 40% 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, 9 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

6 authors at 2 institutions in 2 countries.

Dongliang LengFaculty of Health Sciences, University of Macau, Taipa, Macau.
Chen HuangFaculty of Health Sciences, University of Macau, Taipa, Macau.
Kuan Cheok LeiFaculty of Health Sciences, University of Macau, Taipa, Macau.
Shixue SunFaculty of Health Sciences, University of Macau, Taipa, Macau.
Baoqing SunState Key Laboratory of Respiratory Disease, First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Xiaohua Douglas ZhangFaculty of Health Sciences, University of Macau, Taipa, Macau.
University of Macau · MOFirst Affiliated Hospital of Guangzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Liver is one of the most vital organs to maintain homeostasis because of its peculiar detoxification functionalities to detoxify chemicals and metabolize drugs and toxins. Due to its crucial functions, the liver is also prone to various diseases, i.e., hepatitis, cirrhosis and hepatoma, etc. Additionally, long non-coding RNAs (lncRNAs) has emerged as key regulators which are found to play important roles in transcription, splicing, translation, replication, chromatin shaping and post translational modification of proteins in living cells. However, the underlying mechanisms of biological processes mediated by lncRNA remain unclear. Here, with the aim of disclosing potential lncRNAs implicated in the biological processes in liver in response to cytotoxicity, we performed a co-expression network analysis based on the transcriptome data of the damaged liver tissue of

Indexed as

AnimalsCarbon TetrachlorideChloroformLiverRatsRNA, Long NoncodingRNA, MessengerThioacetamideTranscriptomeCarbon TetrachlorideChloroformRNA, Long NoncodingRNA, MessengerThioacetamidecytotoxicityinteraction networkliver diseaseLncRNAs

Identifiers

PMID31595148
PMCPMC6775316
OpenAlexW2972520375

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.