Evidence map›Paper›PMID 29351810›Full record

ArticleHuman genomics2018

Identify Down syndrome transcriptome associations using integrative analysis of microarray database and correlation-interaction network.

Min Chen, Jiayan Wang, Yingjun Luo, Kailing Huang, Xiaoshun Shi, Yanhui Liu, Jin Li, Zhengfei Lai, Shuya Xue, Haimei Gao and 2 more

Open access · goldAbstract read
In one paragraph

Article in Human genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
0.8field-weighted citation impact, top 34% 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

13 citing papers in PubMed, 20 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

12 authors at 6 institutions in 2 countries.

Min ChenDepartment of Fetal Medicine and Prenatal Diagnosis, the Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510150, China.
Jiayan WangDepartment of Fetal Medicine and Prenatal Diagnosis, the Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510150, China.
Yingjun LuoMendel Genes Inc, Manhattan Beach, CA, Manhattan Beach, CA, 90266, USA.
Kailing HuangMendel Genes Inc, Manhattan Beach, CA, Manhattan Beach, CA, 90266, USA.
Xiaoshun ShiDepartment of Thoracic Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Yanhui LiuMendel Genes Inc, Manhattan Beach, CA, Manhattan Beach, CA, 90266, USA.
Jin LiState Key Laboratory of Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, National Clinical Research Center for Respiratory Disease, Guangzhou, China.
Zhengfei LaiDepartment of Fetal Medicine and Prenatal Diagnosis, the Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510150, China.
Shuya XueDepartment of Fetal Medicine and Prenatal Diagnosis, the Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510150, China.
Haimei GaoDepartment of Fetal Medicine and Prenatal Diagnosis, the Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510150, China.
Allen ChenDepartment of Mathematics, University of California, Berkeley, CA, 94720, USA.
Dunjin ChenDepartment of Fetal Medicine and Prenatal Diagnosis, the Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510150, China. dunjinchen121@163.com.
Guangzhou Medical University · CNGuangzhou Women and Children Medical Center · CNFirst Affiliated Hospital of Guangzhou Medical University · CNGuangdong University of Education · CNNanfang Hospital · CNUniversity of California, Berkeley · US

Funding

Guangdong Natural Science Foundation 2015A030313474Guangdong Science and Technology Program No.2013B022000005Guangzhou Science and Technology Program No.2014234he National Natural Science Foundation of China No.81671470Youth Scientific Project Foundation of Guangzhou Medical University 2015A21
6 · The paper itself

Abstract

backgroundLong non-coding RNAs (lncRNAs) have previously been emerged as key players in a series of biological processes. Dysregulation of lncRNA is correlated to human diseases including neurological disorders. Here, we developed a multi-step bioinformatics analysis to study the functions of a particular Down syndrome-associated gene DSCR9 including the lncRNAs. The method is named correlation-interaction-network (COIN), based on which a pipeline is implemented. Co-expression gene network analysis and biological network analysis results are presented.

methodsWe identified the regulation function of DSCR9, a lncRNA transcribed from the Down syndrome critical region (DSCR) of chromosome 21, by analyzing its co-expression genes from over 1700 sets and nearly 60,000 public Affymetrix human U133-Plus 2 transcriptional profiling microarrays. After proper evaluations, a threshold is chosen to filter the data and get satisfactory results. Microarray data resource is from EBI database and protein-protein interaction (PPI) network information is incorporated from the most complete network databases. PPI integration strategy guarantees complete information regarding DSCR9. Enrichment analysis is performed to identify significantly correlated pathways.

resultsWe found that the most significant pathways associated with the top DSCR9 co-expressed genes were shown to be involved in neuro-active ligand-receptor interaction (GLP1R, HTR4, P2RX2, UCN3, and UTS2R), calcium signaling pathway (CACNA1F, CACNG4, HTR4, P2RX2, and SLC8A3), neuronal system (KCNJ5 and SYN1) by the KEGG, and GO analysis. The A549 and U251 cell lines with stable DSCR9 overexpression were constructed. We validated 10 DSCR9 co-expression genes by qPCR in both cell lines with over 70% accuracy.

conclusionsDSCR9 was highly correlated with genes that were known as important factors in the developments and functions of nervous system, indicating that DSCR9 may regulate neurological proteins regarding Down syndrome and other neurological-related diseases. The pipeline can be properly adjusted to other applications.

Indexed as

Chromosomes, Human, Pair 21Computational BiologyDown SyndromeGene Expression ProfilingGene Expression RegulationGene Regulatory NetworksHumansMicroarray AnalysisRNA, Long NoncodingSignal TransductionTranscriptomeRNA, Long NoncodingCorrelation-interaction-networkDown syndromeDSCR9lncRNANeurological diseasesProtein–protein interaction

Identifiers

PMID29351810
PMCPMC5775600
OpenAlexW2785042508

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.