2017
DOI: 10.1038/s41598-017-18287-w
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Integrated transcriptional analysis unveils the dynamics of cellular differentiation in the developing mouse hippocampus

Abstract: The ability to assign expression patterns to the individual cell types that constitute a tissue is a major challenge. This especially applies to brain, given its plethora of different, functionally interconnected cell types. Here, we derived cell type-specific transcriptome signatures from existing single cell RNA data and integrated these signatures with a newly generated dataset of expression (bulk RNA-Seq) of the postnatal developing mouse hippocampus. This integrated analysis allowed us to provide a compre… Show more

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Cited by 8 publications
(9 citation statements)
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References 32 publications
(41 reference statements)
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“…To unravel the potential molecular mechanisms underlying the learning defects of Dyrk1a C/C mice, we performed genome-wide transcriptional profiling (RNA-seq) of Dyrk1a C/C and control mice in the hippocampus at postnatal day 30, as the brain is fully developed and mature at this stage. Analysis of the RNA-seq exon reads was performed using hypergeometric test and Bonferroni correction (DEseq algorithm, P<0.025) as previously published [ 38 , 47 , 48 ] and identified 297 up-regulated and 257 down-regulated genes in Dyrk1a C/C compared with controls ( S1 Table ). To determine the putative cell types associated with the deregulated genes, we compared the sets of up- and down-regulated genes with the markers of hippocampal cell types obtained from single cell RNA-seq (see Materials and Methods ).…”
Section: Resultsmentioning
confidence: 99%
“…To unravel the potential molecular mechanisms underlying the learning defects of Dyrk1a C/C mice, we performed genome-wide transcriptional profiling (RNA-seq) of Dyrk1a C/C and control mice in the hippocampus at postnatal day 30, as the brain is fully developed and mature at this stage. Analysis of the RNA-seq exon reads was performed using hypergeometric test and Bonferroni correction (DEseq algorithm, P<0.025) as previously published [ 38 , 47 , 48 ] and identified 297 up-regulated and 257 down-regulated genes in Dyrk1a C/C compared with controls ( S1 Table ). To determine the putative cell types associated with the deregulated genes, we compared the sets of up- and down-regulated genes with the markers of hippocampal cell types obtained from single cell RNA-seq (see Materials and Methods ).…”
Section: Resultsmentioning
confidence: 99%
“…Another plausible hypothesis is that the excessive H3K9 methylation detected at postnatal stages occurred at earlier development stages and is subsequently maintained. Specifically, haploinsufficiency of Ehmt1 could cause aberrant activity of other HMTs such as Suv39H1/2 or SetDB1/2 in the dividing radial glia and/or neuronal progenitors, which are abundant in embryonic stage ( 38 ). Next, the replication machinery would maintain the aberrant H3K9 methylation up to the post-mitotic cells of the postnatal brain ( 39 ).…”
Section: Discussionmentioning
confidence: 99%
“…We consider developmental transitions as the emergence of “plateaus” in the expression of multiple genes in single structures. We identified such plateaus in RNA expression from RNA sequencing data of bulk from the hippocampus in both species ( Iacono et al, 2017 ). We identified when expressed genes reach a plateau in their expression across 14,417 orthologous genes as defined by the mouse genome database ( Smith et al, 2018 ).…”
Section: Methodsmentioning
confidence: 99%
“…We used normalized RNA sequencing expression made available by the Allen brain Institute. RNA expression from mice hippocampi was obtained from Iacono et al (2017) (GEO: GSE79380). We selected only those models with p -values of coefficients less than 0.05 in humans and mice.…”
Section: Methodsmentioning
confidence: 99%
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