Evidence map›Paper›PMID 38281050›Full record

ArticleJournal of translational medicine2024

Single-nucleus transcriptomic analysis reveals the relationship between gene expression in oligodendrocyte lineage and major depressive disorder.

Yinping Xie, Lijuan Chen, Leimin Wang, Tongou Liu, Yage Zheng, Lujia Si, Hailong Ge, Hong Xu, Ling Xiao, Gaohua Wang

Open access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
4.0field-weighted citation impact, top 6% 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

14 citing papers in PubMed, 17 citations in OpenAlex.

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  9. Psychiatric Genomics 2025: State of the Art and the Path Forward.The Psychiatric clinics of North America · 2025
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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

10 authors at 4 institutions in 1 country.

Yinping Xie *Institute of Neuropsychiatry, Renmin Hospital of Wuhan University, Wuhan, China.ORCID 0000-0002-1450-5822
Lijuan Chen *Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
Leimin WangSchool of Automation, China University of Geosciences, Wuhan, China.
Tongou LiuThe First Clinical College of Hubei University of Chinese Medicine, Wuhan, China.
Yage ZhengJudicial Appraisal Institute, Renmin Hospital of Hubei Province, Wuhan, China.
Lujia SiDepartment of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China.
Hailong GeDepartment of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China.
Hong XuDepartment of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China.
Ling XiaoInstitute of Neuropsychiatry, Renmin Hospital of Wuhan University, Wuhan, China. 327550377@qq.com.
Gaohua WangInstitute of Neuropsychiatry, Renmin Hospital of Wuhan University, Wuhan, China. wgh6402@whu.edu.cn.
Wuhan University · CNAgricultural Genomics Institute at Shenzhen · CNChina University of Geosciences · CNHubei University of Chinese Medicine · CN

Funding

Fundamental Research Funds for the Central Universities 2042022kf1101National Natural Science Foundation of China 62076229National Natural Science Foundation of China 82071523
6 · The paper itself

Abstract

backgroundMajor depressive disorder (MDD) is a common mental illness that affects millions of people worldwide and imposes a heavy burden on individuals, families and society. Previous studies on MDD predominantly focused on neurons and employed bulk homogenates of brain tissues. This paper aims to decipher the relationship between oligodendrocyte lineage (OL) development and MDD at the single-cell resolution level.

methodsHere, we present the use of a guided regularized random forest (GRRF) algorithm to explore single-nucleus RNA sequencing profiles (GSE144136) of the OL at four developmental stages, which contains dorsolateral prefrontal cortex of 17 healthy controls (HC) and 17 MDD cases, generated by Nagy C et al. We prioritized and ordered differentially expressed genes (DEGs) based on Nagy et al., which could predominantly discriminate cells in the four developmental stages and two adjacent developmental stages of the OL. We further screened top-ranked genes that distinguished between HC and MDD in four developmental stages. Moreover, we estimated the performance of the GRRF model via the area under the curve value. Additionally, we validated the pivotal candidate gene Malat1 in animal models.

resultsWe found that, among the four developmental stages, the onset development of OL (OPC2) possesses the best predictive power for distinguishing HC and MDD, and long noncoding RNA MALAT1 has top-ranked importance value in candidate genes of four developmental stages. In addition, results of fluorescence in situ hybridization assay showed that Malat1 plays a critical role in the occurrence of depression.

conclusionsOur work elucidates the mechanism of MDD from the perspective of OL development at the single-cell resolution level and provides novel insight into the occurrence of depression.

Indexed as

Major Depressive DisorderRNA, Long NoncodingCell LineageGene ExpressionGene Expression ProfilingHumansIn Situ Hybridization, FluorescencePrefrontal CortexRNA, Long NoncodingGuided regularized random forest algorithmMajor depressive disorderMALAT1Oligodendrocyte lineage developmentSingle-cell transcriptome

Identifiers

PMID38281050
PMCPMC10822185
OpenAlexW4391275695

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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.