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

Overview of attention for article published in BMC Genomics, November 2017
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  • Good Attention Score compared to outputs of the same age and source (75th percentile)

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Title
Characteristics of allelic gene expression in human brain cells from single-cell RNA-seq data analysis
Published in
BMC Genomics, November 2017
DOI 10.1186/s12864-017-4261-x
Pubmed ID
Authors

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

Abstract

Monoallelic 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. In 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. Our 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.

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The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 43 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 21%
Student > Master 6 14%
Student > Ph. D. Student 6 14%
Student > Bachelor 3 7%
Student > Doctoral Student 2 5%
Other 6 14%
Unknown 11 26%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 23%
Biochemistry, Genetics and Molecular Biology 9 21%
Neuroscience 5 12%
Pharmacology, Toxicology and Pharmaceutical Science 2 5%
Immunology and Microbiology 1 2%
Other 4 9%
Unknown 12 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 December 2017.
All research outputs
#6,325,763
of 24,081,774 outputs
Outputs from BMC Genomics
#2,547
of 10,897 outputs
Outputs of similar age
#98,686
of 332,170 outputs
Outputs of similar age from BMC Genomics
#48
of 196 outputs
Altmetric has tracked 24,081,774 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 10,897 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 76% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 332,170 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 196 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.