GEO DataSets

(Submitter supplied) Over 16,000 nuclei were isolated from human postmartum brain frozen prefrontal cortex samples of alcoholic and control individuals. Libraries were prepared with 10X Genomics platform and sequenced using NovaSeq 6000.

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL24676

8 Samples

Download data: MTX, TSV

(Submitter supplied) Purpose: Identify the specific transcriptome alterations in astrocytes and microglia isolated from mouse prefrontal cortex (PFC) following a chronic intermittent ethanol vapor exposure paradigm Methods: We performed RNA-sequencing on astrocytes, microglia, and total homogenate tissue isolated from the PFC of C57BL/6J mice following chronic intermittent ethanol vapor exposure Results: We identified common neuroimmune gene expression response between cell types in response to CIE, unique networks of correlated genes differentially expressed in specific cell types, along with candidate pathways, biological processes and highly connected cell-type specific genes Conclusions: This study sheds light on the cell-specific effects of chronic ethanol and provides novel molecular targets for understanding ethanol dependence

Organism:

Mus musculus

Type:

Expression profiling by high throughput sequencing

Platform:

GPL21103

51 Samples

Download data: GFF

(Submitter supplied) The prefrontal cortex is a crucial regulator of escalation of alcohol drinking, dependence, and other behavioral criteria associated with AUD. Comprehensive identification of cell-type specific transcriptomic changes in alcohol dependence will improve our understanding of mechanisms mediating the escalation of alcohol use and will refine targets for therapeutic development. We performed single nucleus RNA sequencing (snRNA-seq) on ~150,000 single nuclei from the medial prefrontal cortex (mPFC) obtained from C57BL/6J mice exposed to the chronic intermittent ethanol exposure (CIE) paradigm which models phenotypes associated with alcohol dependence. more...

Organism:

Mus musculus

Type:

Expression profiling by high throughput sequencing

Platform:

GPL24247

14 Samples

Download data: CSV, MTX, TSV

(Submitter supplied) Microglia are fundamentally important immune cells within the central nervous system (CNS) that respond to environmental challenges to maintain normal physiological processes. Alterations in steady-state cellular function and over-activation of microglia can facilitate the initiation and progression of neuropathological conditions such as Alzheimer’s disease, Multiple Sclerosis, and Major Depressive Disorder. more...

Organism:

Mus musculus

Type:

Expression profiling by high throughput sequencing

Platform:

GPL19057

48 Samples

Download data: TXT

(Submitter supplied) Purpose: Traditional whole-tissue sequencing approaches do not fully capture brain cell-type specific effects of chronic alcohol. Therefore, the purpose of this study was to identify the specific transcriptome alterations in astrocytes due to chronic alcohol. Methods: We performed RNA-sequencing on astrocytes isolated from the prefrontal cortex (PFC) of C57BL/6J mice following chronic every-other-day alcohol consumption. more...

Organism:

Mus musculus

Type:

Expression profiling by high throughput sequencing

Platform:

GPL21103

45 Samples

Download data: TXT

(Submitter supplied) Persistent changes in brain gene expression are hypothesized to underlie thealtered neural signaling producing abusive consumption in AUD. To identify brain regional gene expression networks contributing to progressive ethanol consumption, we performed microarray and scale-free network analysis of expression responses in a C57BL/6J mouse model utilizing chronic intermittent ethanol by vapor chamber (CIE) in combination with limited access oral ethanol consumption. more...

Organism:

Mus musculus

Type:

Expression profiling by array

Platform:

GPL1261

224 Samples

Download data: CEL

(Submitter supplied) Analysis of transcriptiomic alternations related with alcohol use disorders (AUDs). The hypothesis is that chronic alcohol consumption might alter genome-wide gene expression patterns. The results suggest that differential gene expression in the prefrontal cortex is implicated in neuroadaptations to alcohol.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL10904

48 Samples

Download data: TXT

(Submitter supplied) Transcriptomic profiling of complex tissues by single-nucleus RNA-sequencing (snRNA-seq) affords some advantages over single-cell RNA-sequencing (scRNA-seq). snRNA-seq provides less biased cellular coverage, does not appear to suffer cell isolation-based transcriptional artifacts, and can be applied to archived frozen specimens. We used well-matched snRNA-seq and scRNA-seq datasets from mouse visual cortex to compare cell type detection. more...

Organism:

Mus musculus

Type:

Expression profiling by high throughput sequencing

Platform:

GPL17021

956 Samples

Download data: CSV, XLS

(Submitter supplied) We analyzed cerebral cortices (CTX) and midbrains (MB) from male C57BL/6J mice subjected to a CIE, 2BC paradigm, which induces heavy drinking and represents one of the best available animal models for alcohol dependence and relapse drinking.

Organism:

Mus musculus

Type:

Non-coding RNA profiling by array

Platform:

GPL17411

42 Samples

Download data: TXT

(Submitter supplied) miRCURY 6th generation LNA™ microRNA array microRNA Expression Profiling Protocol: http://www.exiqon.com/ls/Documents/Scientific/miRCURY-LNA-microRNA-Array-6th-gen-hsa-mmu-rno-manual.pdf

Organism:

Mus musculus

1 Series

42 Samples

Download data

(Submitter supplied) Action of alcohol on synaptic mRNA in the amygdala of mice Chronic alcohol consumption induces changes in gene expression, causing persistent long-term neuro-adaptations and the remodeling of synaptic structures. These alcohol-induced synaptic changes may rely specifically on the local translation of mRNAs in the synaptic compartments of the cell. We profiled the transcriptome from synaptoneurosomes (SN) and paired total homogenates (TH) of amygdala to analyze the synaptic adaptations induced by chronic voluntary alcohol consumption in mice. more...

Organism:

Mus musculus; synthetic construct

Type:

Expression profiling by array; Non-coding RNA profiling by array

Platforms:

GPL6887 GPL16384

82 Samples

Download data: CEL, TXT

(Submitter supplied) We performed high-throughput snRNA-seq using the 10X Genomics Chromium platform on archived post-mortem dorsolateral prefrontal cortex (BA9) tissue in female MDD subjects who died by suicide and in female control subjects to identify cell-type specific differentially expressed genes. We further re-processed in parallel a previously generated snRNA-seq dataset in males with or without MDD to generate comparable differential expression results and compare the cell-type specific MDD-associated differences between the sexes.

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platforms:

GPL28038 GPL24676

38 Samples

Download data: CSV, MTX

(Submitter supplied) To better define roles that microglia and astrocytes play in Alzheimer’s disease (AD), we used single-nuclei RNA-sequencing to comprehensively characterize transcriptomes in these glial nuclei isolated post mortem from non-diseased control and neuropathologically-defined AD brains. Genes associated with AD risk were highly represented, especially in microglia. Transcriptome differences significantly correlated with immunohistochemical phospho-Tau (pTau) density included genetic risk genes for both microglia (APOE, BIN1, MS4A6A, PILRA) and astrocytes (APOE, CLU, MEF2C, IQCK). more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL20301

24 Samples

Download data: TAR

(Submitter supplied) Single nucleus RNA-Seq (snRNA-Seq) is used as an alternative to single cell RNA-Seq, as it allows transcriptomic profiling of frozen tissue. However, it is unclear whether snRNA-Seq is able to detect cellular state in human tissue. Indeed, snRNA-Seq analyses of human brain samples have failed to detect a consistent microglial activation signature in Alzheimer’s Disease. Our comparison of microglia from single cells and single nuclei of four human subjects revealed that, while the majority of genes showed similar relative abundances in cells and nuclei, a small population of genes (~1%) was depleted in nuclei compared to whole cells. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL20301

8 Samples

Download data: TSV

(Submitter supplied) Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease in which motor neurons throughout the brain and spinal cord progressively degenerate resulting in muscle atrophy, paralysis and death. Recent studies using animal models of ALS implicate multiple cell-types (e.g., astrocytes and microglia) in ALS pathogenesis in the spinal motor systems. To ascertain cellular vulnerability and cell-type specific mechanisms of ALS in the brainstem that orchestrates oral-motor functions, we conducted parallel single cell RNA sequencing (scRNA-seq) analysis using the high-throughput Drop-seq method. more...

Organism:

Mus musculus

Type:

Expression profiling by high throughput sequencing

Platform:

GPL21103

4 Samples

Download data: TAR

(Submitter supplied) Purpose: Identify zebrafish microglia transcriptome in the healthy and neurodegenerative brain. Methods: RNA sequencing was performed on FACS-sorted microglia (3x), other brain cells (3x) and activated microglia (4x). Microglia activation was induced using nitroreductase-mediated cell ablation. 10-20 million reads per sample were obtained. Reads were mapped to zebrafish genome GRC10. Results: We identified the zebrafish microglia transcriptome, which shows overlap with previously identified mouse microglia transcriptomes. more...

Organism:

Danio rerio

Type:

Expression profiling by high throughput sequencing

Platform:

GPL18413

10 Samples

Download data: CSV

(Submitter supplied) A key limitation in single cell genomics is generating a high-quality single cell suspension that contains rare or difficult to dissociate cell types and is free of RNA degradation or transcriptional stress responses. Samples with unpredictable availability or that must be collected at several timepoints present additional challenges. Using adult mouse kidney, we compared single-cell RNA sequencing (scRNA-seq) data generated using DropSeq with snRNA-seq data generated from nuclei using sNuc-DropSeq, DroNc-seq and 10X Chromium. more...

Organism:

Mus musculus

Type:

Expression profiling by high throughput sequencing

Platform:

GPL17021

5 Samples

Download data: TXT

(Submitter supplied) Mice of indicated ages and genotypes were perfused and their brains dissected and dissociated. Cells were fixed, immunolabeled and FACS sorted. RNA was extracted from neuron, astrocyte, and microglial cell populations. Typical RIN=4-5 for neurons, 6-8 for astrocytes, and 5-7 for microglia. Typical RNA yields ~100ng for neurons, ~20ng for microglia, and ~10ng for astrocytes. cDNA was generated from up to 25 ng of total RNA using Nugen’s RNA-Seq method for low-input RNA samples, Ovation RNA-Seq System V2 (NuGEN). more...

Organism:

Mus musculus

Type:

Expression profiling by high throughput sequencing

Platform:

GPL17021

61 Samples

Download data: TSV

(Submitter supplied) RNA was purified from intact cerebrocortical tissue of female PS2APP or non-transgenic mice, perfused at 7 or 13 months of age. The "SAMPLE_ID" sample characteristic is a sample identifier internal to Genentech. The ID of this project in Genentech's ExpressionPlot database is PRJ0007648

Organism:

Mus musculus

Type:

Expression profiling by high throughput sequencing

Platform:

GPL17021

24 Samples

Download data: TSV

(Submitter supplied) Normal mice were injected i.p. with LPS or saline. 24h later, perfused brains were dissociated. Cells were fixed, immunolabeled and FACS sorted. RNA was extracted from neuron, astrocyte, and microglial cell populations. Typical RIN=4-5 for neurons, 6-8 for astrocytes, and 5-7 for microglia. Typical RNA yields ~100ng for neurons, ~20ng for microglia, and ~10ng for astrocytes. cDNA was generated from up to 25 ng of total RNA using Nugen's RNA-Seq method for low-input RNA samples, Ovation RNA-Seq System V2 (NuGEN). more...

Organism:

Mus musculus

Type:

Expression profiling by high throughput sequencing

Platform:

GPL17021

28 Samples

Download data: TXT