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RNA-Seq of Human Neurons Derived from iPS Cells Reveals Candidate Long Non-Coding RNAs Involved in Neurogenesis and Neuropsychiatric Disorders

Overview of attention for article published in PLOS ONE, September 2011
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1 X user
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1 patent
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1 Facebook page

Citations

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226 Dimensions

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446 Mendeley
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Title
RNA-Seq of Human Neurons Derived from iPS Cells Reveals Candidate Long Non-Coding RNAs Involved in Neurogenesis and Neuropsychiatric Disorders
Published in
PLOS ONE, September 2011
DOI 10.1371/journal.pone.0023356
Pubmed ID
Authors

Mingyan Lin, Erika Pedrosa, Abhishek Shah, Anastasia Hrabovsky, Shahina Maqbool, Deyou Zheng, Herbert M. Lachman

Abstract

Genome-wide expression analysis using next generation sequencing (RNA-Seq) provides an opportunity for in-depth molecular profiling of fundamental biological processes, such as cellular differentiation and malignant transformation. Differentiating human neurons derived from induced pluripotent stem cells (iPSCs) provide an ideal system for RNA-Seq since defective neurogenesis caused by abnormalities in transcription factors, DNA methylation, and chromatin modifiers lie at the heart of some neuropsychiatric disorders. As a preliminary step towards applying next generation sequencing using neurons derived from patient-specific iPSCs, we have carried out an RNA-Seq analysis on control human neurons. Dramatic changes in the expression of coding genes, long non-coding RNAs (lncRNAs), pseudogenes, and splice isoforms were seen during the transition from pluripotent stem cells to early differentiating neurons. A number of genes that undergo radical changes in expression during this transition include candidates for schizophrenia (SZ), bipolar disorder (BD) and autism spectrum disorders (ASD) that function as transcription factors and chromatin modifiers, such as POU3F2 and ZNF804A, and genes coding for cell adhesion proteins implicated in these conditions including NRXN1 and NLGN1. In addition, a number of novel lncRNAs were found to undergo dramatic changes in expression, one of which is HOTAIRM1, a regulator of several HOXA genes during myelopoiesis. The increase we observed in differentiating neurons suggests a role in neurogenesis as well. Finally, several lncRNAs that map near SNPs associated with SZ in genome wide association studies also increase during neuronal differentiation, suggesting that these novel transcripts may be abnormally regulated in a subgroup of patients.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 446 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 8 2%
United Kingdom 7 2%
Japan 4 <1%
Germany 3 <1%
Italy 2 <1%
France 1 <1%
Portugal 1 <1%
Brazil 1 <1%
Iceland 1 <1%
Other 5 1%
Unknown 413 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 115 26%
Researcher 104 23%
Student > Master 49 11%
Student > Bachelor 32 7%
Student > Postgraduate 24 5%
Other 72 16%
Unknown 50 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 187 42%
Biochemistry, Genetics and Molecular Biology 71 16%
Medicine and Dentistry 40 9%
Neuroscience 40 9%
Psychology 14 3%
Other 35 8%
Unknown 59 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 26 September 2023.
All research outputs
#7,458,355
of 24,535,155 outputs
Outputs from PLOS ONE
#96,283
of 211,934 outputs
Outputs of similar age
#41,257
of 129,256 outputs
Outputs of similar age from PLOS ONE
#940
of 2,559 outputs
Altmetric has tracked 24,535,155 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 211,934 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.6. This one has gotten more attention than average, scoring higher than 54% 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 129,256 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 67% of its contemporaries.
We're also able to compare this research output to 2,559 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.