Evidence map›Paper›PMID 29126398›Full record

ArticleBMC genomics2017

Characteristics of allelic gene expression in human brain cells from single-cell RNA-seq data analysis.

Dejian Zhao, Mingyan Lin, Erika Pedrosa, Herbert M Lachman, Deyou Zheng

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

7 citing papers in PubMed, 15 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

5 authors at 2 institutions in 2 countries.

Dejian ZhaoDepartment of Neurology, Albert Einstein College of Medicine, 1300 Morris Park Ave., Bronx, NY, USA.
Mingyan LinDepartment of Genetics, Albert Einstein College of Medicine, 1300 Morris Park Ave., Bronx, NY, USA.
Erika PedrosaDepartment of Psychiatry and Behavioral Sciences, Albert Einstein College of Medicine, 1300 Morris Park Ave., Bronx, NY, USA.
Herbert M LachmanDepartment of Genetics, Albert Einstein College of Medicine, 1300 Morris Park Ave., Bronx, NY, USA.
Deyou ZhengDepartment of Neurology, Albert Einstein College of Medicine, 1300 Morris Park Ave., Bronx, NY, USA. deyou.zheng@einstein.yu.edu.
Albert Einstein College of Medicine · USNanjing Medical University · CN

Funding

National Institutes of Health (US) MH099427
6 · The paper itself

Abstract

backgroundMonoallelic expression of autosomal genes has been implicated in human psychiatric disorders. However, there is a paucity of allelic expression studies in human brain cells at the single cell and genome wide levels.

resultsIn this report, we reanalyzed a previously published single-cell RNA-seq dataset from several postmortem human brains and observed pervasive monoallelic expression in individual cells, largely in a random manner. Examining single nucleotide variants with a predicted functional disruption, we found that the "damaged" alleles were overall expressed in fewer brain cells than their counterparts, and at a lower level in cells where their expression was detected. We also identified many brain cell type-specific monoallelically expressed genes. Interestingly, many of these cell type-specific monoallelically expressed genes were enriched for functions important for those brain cell types. In addition, function analysis showed that genes displaying monoallelic expression and correlated expression across neuronal cells from different individual brains were implicated in the regulation of synaptic function.

conclusionsOur findings suggest that monoallelic gene expression is prevalent in human brain cells, which may play a role in generating cellular identity and neuronal diversity and thus increasing the complexity and diversity of brain cell functions.

Indexed as

AllelesGene Expression ProfilingSequence Analysis, RNASingle-Cell AnalysisBrainHumansPolymorphism, Single NucleotideAllelic gene expressionHuman brainSingle-cell RNA-seq

Identifiers

PMID29126398
PMCPMC5681780
OpenAlexW2767485094

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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.