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An integrated multi-omics approach identifies epigenetic alterations associated with Alzheimer’s disease (H3K9ac, H3K27ac, H3K122ac, H3K4me1) [ChIP-Seq]

ABSTRACT: We report the epigenetic landscape of multiple histone marks in human hippocampus subject to normal aging and Alzheimer's disease.

ORGANISM(S): Homo sapiens

PROVIDER: GSE130746 | GEO | 2020/01/01

REPOSITORIES: GEO

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An integrated multi-omics approach identifies epigenetic alterations associated with Alzheimer’s disease (5hmC) [5hmC-Seal]

Project description:We report the 5hmC in human hippocampus subject to normal aging and Alzheimer's disease.

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Project description:We report the bulk RNA-seq in human hippocampus subject to normal aging and Alzheimer's disease.

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An integrated multi-omics approach identifies epigenetic alterations associated with Alzheimer’s disease (RNA-seq with ERCC spike-in) [RNA-Seq]

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An integrated multi-omics approach identifies epigenetic alterations associated with Alzheimer’s disease (H3K9ac, H3K27ac, H3K122ac, H3K4me1) [ChIP-Seq]

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An integrated multi-omics approach identifies epigenetic alterations associated with Alzheimer’s disease

Project description:This SuperSeries is composed of the SubSeries listed below.

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Integrated multi-omics approach revealed cellular senescence landscape

Project description:Cellular senescence is a complex multifactorial biological phenomenon that plays essential roles in aging, and aging-related diseases. During this process, the senescent cells undergo gene expression altering and chromatin structure remodeling. However, studies on the epigenetic landscape of senescence using integrated multi-omics approaches are limited. In this research, we performed ATAC-seq, RNA-seq, and ChIP-seq on different senescent types to reveal the landscape of senescence and identify the prime regulatory elements.

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Prediction of gene activity based on an integrated multi-omics approach.

Project description:An increasingly common method for predicting gene activity is genome-wide chromatin immunoprecipitation of M-bM-^@M-^XactiveM-bM-^@M-^Y chromatin modifications followed by massively parallel sequencing (ChIP-seq). Using a novel ChIP-seq quantification method (cRPKM), we tested the power of such ChIP-seq strategies to predict relative protein and RNA levels at the pre-pro-B and pro-B differentiation stages in early B cell lymphopoiesis. Using a multi-omics approach that compares promoter chromatin status (ChIP-seq; published in GSE:21978) with ongoing active transcription (GRO-seq; published in GSE:40173), steady state mRNA (RNA-seq), inferred mRNA stability, and relative proteome abundance measurements (iTRAQ), we demonstrate that active chromatin modifications at promoters are a good indicator of transcription and steady state mRNA levels. Moreover, we found that promoters with active chromatin modifications exclusively in one of these cell states frequently predicted differentially expressed proteins. However, we found that many genes whose promoters have non-differential but active chromatin modifications also displayed changes in expression of their cognate proteins. This large class of developmentally and differentially regulated proteins that was uncoupled from chromatin status used mostly post-transcriptional mechanisms. Interestingly, the most differentially expressed protein in our B-cell development system, 2410004B18Rik, was regulated by a post-transcriptional mechanism, which further analyses indicated was mediated by an identified miRNA. These data provide a striking example of how our integrated multi-omics data set can be useful in uncovering regulatory mechanisms. Total RNA from mouse pre-pro-B and pro-B cells, depleted of rRNA and small RNAs, was sequenced using a strand specific, single end sequencing strategy.

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Profiling H3K4me3, H3K4me1, H3K9ac and H3K27ac in OCI-AML3 cells

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2022-04-04 | GSE199964 | GEO

Prediction of gene activity based on an integrated multi-omics approach.

Project description:An increasingly common method for predicting gene activity is genome-wide chromatin immunoprecipitation of ‘active’ chromatin modifications followed by massively parallel sequencing (ChIP-seq). Using a novel ChIP-seq quantification method (cRPKM), we tested the power of such ChIP-seq strategies to predict relative protein and RNA levels at the pre-pro-B and pro-B differentiation stages in early B cell lymphopoiesis. Using a multi-omics approach that compares promoter chromatin status (ChIP-seq; published in GSE:21978) with ongoing active transcription (GRO-seq; published in GSE:40173), steady state mRNA (RNA-seq), inferred mRNA stability, and relative proteome abundance measurements (iTRAQ), we demonstrate that active chromatin modifications at promoters are a good indicator of transcription and steady state mRNA levels. Moreover, we found that promoters with active chromatin modifications exclusively in one of these cell states frequently predicted differentially expressed proteins. However, we found that many genes whose promoters have non-differential but active chromatin modifications also displayed changes in expression of their cognate proteins. This large class of developmentally and differentially regulated proteins that was uncoupled from chromatin status used mostly post-transcriptional mechanisms. Interestingly, the most differentially expressed protein in our B-cell development system, 2410004B18Rik, was regulated by a post-transcriptional mechanism, which further analyses indicated was mediated by an identified miRNA. These data provide a striking example of how our integrated multi-omics data set can be useful in uncovering regulatory mechanisms.

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