Low-input and multiplexed microfluidic assay reveals epigenomic variation across cerebellum and prefrontal cortex
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PROVIDER: PRJNA389549 | ENA |
REPOSITORIES: ENA
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Project description:There has been an extensive effort underway to profile epigenetic features at the genome-wide scale using primary ex vivo tissues. Cell-type specificity of epigenomes calls for enrichment to obtain a homogenous cell population from a small quantity of tissues. Thus technologies that permit both ultralow input and high throughput are desired for profiling an array of histone marks. Here we demonstrate a simple microfluidic technology, SurfaceChIP-seq, for profiling genome-wide histone modifications using as few as 30 cells per assay and with up to 8 assays running in parallel. We applied the technology to study epigenomic landscapes in neurons and glia in prefrontal cortex and cerebellum of mouse brain. The data revealed extensive epigenomic difference in the two regions on important functional elements such as promoters and enhancers.
2018-03-30 | GSE99757 | GEO
Project description:Extensive effort is under way to survey the epigenomic landscape of primary ex vivo tissues to establish normal reference data and to discern variation associated with disease. The low abundance of some tissue types and the isolation procedure required to generate a homogenous cell population often yield a small quantity of cells for examination. This difficulty is further compounded by the need to profile a myriad of epigenetic marks. Thus, technologies that permit both ultralow input and high throughput are desired. We demonstrate a simple microfluidic technology, SurfaceChIP-seq, for profiling genome-wide histone modifications using as few as 30 to 100 cells per assay and with up to eight assays running in parallel. We applied the technology to profile epigenomes using nuclei isolated from prefrontal cortex and cerebellum of mouse brain. Our cell type-specific data revealed that neuronal and glial fractions exhibited profound epigenomic differences across the two functionally distinct brain regions.
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Project description:Genome-wide prefrontal cortex and cerebellum DNA methylation profiles of younger and older adult humans, captive chimpanzees, and captive rhesus macaques
2021-04-07 | GSE154403 | GEO
Project description:The depressive-like behavior in animals is usually assessed by standardized behavioral tests such as the forced swimming test. However, the findings of these tests may be affected by individual variability among animals, which may hinder the discovery of genes responsible for depression. Few reports have showed the influence of individual variability in identifying the genes associated with depressive-like behavior. In this study, we measured the immobility ratio (% immobility in 5 min) in the forced swimming test in 106 male Wistar rats. According to the distribution of individual immobility ratio, the rats were divided into three groups: the control group with immobility ratio -1 to +1 standard deviation (SD) from the mean, the depressive group with immobility ratio +1 to +2 SD above the mean, and the anti-depressive group with immobility ratio -1 to -2 SD below the mean. Microarray analysis was used to identify the genes differentially expressed by depressive group rats in the prefrontal cortex and cerebellum. The differentially expressed genes in both brain regions of the depressive group were Alas2, Gh1, Hba-a2, Hbb, Hbb-b1, Hbe2, LOC689064, Mrps10, Mybpc, Olf6415, and Pfkb1. Ingenuity pathway analysis identified Gh1 as a hub gene in the networks of the differentially expressed genes in both brain regions. This study indicates that inherent differences in depressive-like behavior may be related to the Gh1 expression in the cerebellum and prefrontal cortex. We measured the immobility ratio of 106 normal rats using the forced swimming test and statistically analysis. We selected the rats exhibitting depressive-like behavior or average in the 106 rats. Total RNA was prepareted from the cerebellum and prefrontal cortex. An equal amount of RNA from 4 rats in each group was pooled and used for microarray analysis.
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Project description:Advances in Next Generation Sequencing (NGS) have made available a wealth of information that had previously been inaccessible to researchers and clinicians. NGS has been applied to understand genomic, transcriptomic, and epigenomic changes and gained traction as a significant tool capable of accelerating diagnosis, prognosis, and biomarker discovery. However, these NGS assays have yet to be practical methods for patient stratification or diagnosis because of the gap between the tiny quantities of biomaterials provided by a clinical sample and the large DNA input required by most of these assays. Current library preparation methodologies typically require large input amounts of DNA and a long and complicated manual process. Here we present a microfluidic reactor system for NGS library preparation, capable of reducing the number of pipetting steps significantly, automating much of the process, while supporting extremely low DNA input requirement (10 pg per library). This largely automated technology will allow for low-input preparations of 8 libraries simultaneously while reducing batch to batch variation and operator hands-on time.
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Project description:Epigenetic profiling by chromatin immunoprecipitation followed by sequencing (ChIP-seq) has become a powerful tool for genome-wide identification of regulatory elements, for defining transcriptional regulatory networks and for screening for biomarkers. However, the ChIP-seq protocol for low-input samples is laborious, time-consuming and suffers from experimental variation, resulting in poor reproducibility and low throughput. Although prototypic microfluidic ChIP-seq platforms have been developed, these are poorly transferable as they require sophisticated custom-made equipment and in-depth microfluidic and ChIP expertise, while lacking parallelisation. To enable standardized, automated ChIP-seq profiling of low-input samples, we constructed microfluidic PDMS-based plates capable of performing 24 sensitive ChIP reactions within 30 minutes hands-on time and 4.5 hours machine-running time. These disposable plates can be conveniently loaded into a widely available controller for pneumatics and thermocycling. In light of the Plug and Play (PnP) ChIP plates and workflow, we named our procedure PnP-ChIP-seq. We demonstrate high-quality ChIP-seq on hundreds to few thousands of cells for all six post-translational histone modifications that are included in the International Human Epigenome Consortium set of reference epigenomes. PnP-ChIP-seq robustly detects epigenetic differences on promoters and enhancers between naïve and more primed mouse embryonic stem cells (mESCs). Furthermore, we used our platform to generate epigenetic profiles of rare subpopulations of mESCs that resemble the 2-cell stage of embryonic development. PnP-ChIP-seq allows non-expert labs worldwide to conveniently run robust, standardized ChIP-seq, while its high-throughput, consistency and sensitivity paves the way towards large-scale profiling of precious sample types such as rare subpopulations of cells or biopsies.
2021-02-10 | GSE120673 | GEO
Project description:Microfluidic platform for next-generation sequencing library preparation with low-input samples
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Project description:To understand the roles of molecules in functional differentiation among adult human tissues, we performed a systematic survey of mRNA, protein, and protein phosphorylation as well as miRNA expression, in three tissues: cerebellum, prefrontal cortex and liver. We found that tissues were clearly distinct from one another at all levels. Furthermore, our results showed that miRNA differently expressed between tissues have significant, but modest effect on expression of mRNA and somewhat stronger effect on expression of proteins among the tissues. Notably, miRNA preferentially targeted gene regulators, transcription factors and kinases, in all three tissues studied. Following this path, we found that miRNA effect was further amplified through expression changes of target transcription factors and kinases, leading to further changes in their targets’ expression and phosphorylation levels. Importantly, miRNA regulation leads to reduced, rather than increased gene expression variation among individuals between two brain regions. These observations uncover the complexity of miRNA regulatory interactions and are compatible with suggested role of miRNA in gene expression canalization. Adult human post-mortem tissue samples: cerebellum, prefrontal cortex and liver, were collected. Each tissue contains three individuals totalling 9 samples in this datasets. RNA extracted from these dissected tissue was hybridized to Agilent Human miRNA Microarray.
2013-01-04 | E-GEOD-19505 | biostudies-arrayexpress
Project description:To understand the roles of molecules in functional differentiation among adult human tissues, we performed a systematic survey of mRNA, protein, and protein phosphorylation as well as miRNA expression, in three tissues: cerebellum, prefrontal cortex and liver. We found that tissues were clearly distinct from one another at all levels. Furthermore, our results showed that miRNA differently expressed between tissues have significant, but modest effect on expression of mRNA and somewhat stronger effect on expression of proteins among the tissues. Notably, miRNA preferentially targeted gene regulators, transcription factors and kinases, in all three tissues studied. Following this path, we found that miRNA effect was further amplified through expression changes of target transcription factors and kinases, leading to further changes in their targetsM-bM-^@M-^Y expression and phosphorylation levels. Importantly, miRNA regulation leads to reduced, rather than increased gene expression variation among individuals between two brain regions. These observations uncover the complexity of miRNA regulatory interactions and are compatible with suggested role of miRNA in gene expression canalization. Adult human post-mortem tissue samples: cerebellum, prefrontal cortex and liver, were collected. Each tissue contains three individuals totalling 9 samples in this datasets. RNA extracted from these dissected tissue was hybridized to Affymetrix Human Exon 1.0 ST arrays.
2013-01-04 | E-GEOD-19504 | biostudies-arrayexpress
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