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Transcriptome analysis of human brain tissue identifies reduced expression of complement complex C1Q Genes in Rett syndrome

Overview of attention for article published in BMC Genomics, June 2016
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Title
Transcriptome analysis of human brain tissue identifies reduced expression of complement complex C1Q Genes in Rett syndrome
Published in
BMC Genomics, June 2016
DOI 10.1186/s12864-016-2746-7
Pubmed ID
Authors

Peijie Lin, Laura Nicholls, Hassan Assareh, Zhiming Fang, Timothy G. Amos, Richard J. Edwards, Amelia A. Assareh, Irina Voineagu

Abstract

MECP2, the gene mutated in the majority of Rett syndrome cases, is a transcriptional regulator that can activate or repress transcription. Although the transcription regulatory function of MECP2 has been known for over a decade, it remains unclear how transcriptional dysregulation leads to the neurodevelopmental disorder. Notably, little convergence was previously observed between the genes abnormally expressed in the brain of Rett syndrome mouse models and those identified in human studies. Here we carried out a comprehensive transcriptome analysis of human brain tissue from Rett syndrome brain using both RNA-seq and microarrays. We identified over two hundred differentially expressed genes, and identified the complement C1Q complex genes (C1QA, C1QB and C1QC) as a point of convergence between gene expression changes in human and mouse Rett syndrome brain. The results of our study support a role for alterations in the expression level of C1Q complex genes in RTT pathogenesis.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Unknown 46 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 21%
Researcher 7 15%
Student > Bachelor 6 13%
Student > Master 5 11%
Student > Doctoral Student 4 9%
Other 2 4%
Unknown 13 28%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 23%
Agricultural and Biological Sciences 6 13%
Neuroscience 6 13%
Medicine and Dentistry 4 9%
Psychology 3 6%
Other 0 0%
Unknown 17 36%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 June 2016.
All research outputs
#5,975,746
of 7,879,571 outputs
Outputs from BMC Genomics
#4,457
of 5,660 outputs
Outputs of similar age
#188,096
of 269,054 outputs
Outputs of similar age from BMC Genomics
#160
of 188 outputs
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