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Placental transcriptome co-expression analysis reveals conserved regulatory programs across gestation

Overview of attention for article published in BMC Genomics, January 2017
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Title
Placental transcriptome co-expression analysis reveals conserved regulatory programs across gestation
Published in
BMC Genomics, January 2017
DOI 10.1186/s12864-016-3384-9
Pubmed ID
Authors

Sam Buckberry, Tina Bianco-Miotto, Stephen J. Bent, Vicki Clifton, Cheryl Shoubridge, Kartik Shankar, Claire T. Roberts

Abstract

Mammalian development in utero is absolutely dependent on proper placental development, which is ultimately regulated by the placental genome. The regulation of the placental genome can be directly studied by exploring the underlying organisation of the placental transcriptome through a systematic analysis of gene-wise co-expression relationships. In this study, we performed a comprehensive analysis of human placental co-expression using RNA sequencing and intergrated multiple transcriptome datasets spanning human gestation. We identified modules of co-expressed genes that are preserved across human gestation, and also identifed modules conserved in the mouse indicating conserved molecular networks involved in placental development and gene expression patterns more specific to late gestation. Analysis of co-expressed gene flanking sequences indicated that conserved co-expression modules in the placenta are regulated by a core set of transcription factors, including ZNF423 and EBF1. Additionally, we identified a gene co-expression module enriched for genes implicated in the pregnancy pathology preeclampsia. By using an independnet transcriptome dataset, we show that these co-expressed genes are differentially expressed in preeclampsia. This study represents a comprehensive characterisation of placental co-expression and provides insight into potential transcriptional regulators that govern conserved molecular programs fundamental to placental development.

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Mendeley readers

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 %
Unknown 47 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 23%
Researcher 10 21%
Student > Doctoral Student 3 6%
Other 3 6%
Student > Master 3 6%
Other 6 13%
Unknown 11 23%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 15 32%
Agricultural and Biological Sciences 7 15%
Medicine and Dentistry 3 6%
Immunology and Microbiology 2 4%
Nursing and Health Professions 1 2%
Other 5 11%
Unknown 14 30%
Attention Score in Context

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 05 January 2017.
All research outputs
#17,849,965
of 22,925,760 outputs
Outputs from BMC Genomics
#7,592
of 10,676 outputs
Outputs of similar age
#293,905
of 421,214 outputs
Outputs of similar age from BMC Genomics
#153
of 228 outputs
Altmetric has tracked 22,925,760 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,676 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 23rd percentile – i.e., 23% of its peers scored the same or lower than it.
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 421,214 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 228 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.