GSE136396: RNASeq of cold-sensitive and cold-insensitive neurons from the pre-optic area of hypothalamus of mice

Gene Expression Data Explorer
Info Gene counts are sourced from ARCHS4, which provides uniform alignment of GEO samples. You can learn more about ARCHS4 and its pipeline here.
Enter gene symbol:

Select conditions below to toggle them from the plot:

GROUP CONDITION SAMPLES
Neurons from the pre-optic area of hypothalamus
GSM4048022 GSM4048023 GSM4048024
GSM4048025 GSM4048026 GSM4048027
Description

Submission Date: Aug 27, 2019

Summary: The preoptic area of the hypothalamus (POA) contains intrinsically warm and cold-sensitive neurons, which are thought to be critically involved in mammalian thermoregulation. However, the precise physiological roles and the molecular markers of the cold-sensitive POA neurons have not been determined yet. Here, we tackle this problem by performing calcium-imaging guided separation and collection of cold-sensitive and cold-insensitive dissociated neurons from the mouse POA, followed by RNASeq and differential transcriptomics of these cell populations.

GEO Accession ID: GSE136396

PMID: 32270761

Description

Submission Date: Aug 27, 2019

Summary: The preoptic area of the hypothalamus (POA) contains intrinsically warm and cold-sensitive neurons, which are thought to be critically involved in mammalian thermoregulation. However, the precise physiological roles and the molecular markers of the cold-sensitive POA neurons have not been determined yet. Here, we tackle this problem by performing calcium-imaging guided separation and collection of cold-sensitive and cold-insensitive dissociated neurons from the mouse POA, followed by RNASeq and differential transcriptomics of these cell populations.

GEO Accession ID: GSE136396

PMID: 32270761

Visualize Samples

Info Visualizations are precomputed using the Python package scanpy on the top 5000 most variable genes.

Precomputed Differential Gene Expression

Info Differential expression signatures are automatically computed using the limma R package. More options for differential expression are available to compute below.

Signatures:

Select conditions:

Control Condition

Perturbation Condition

Only conditions with at least 1 replicate are available to select

Differential Gene Expression Analysis
Info Differential expression signatures can be computed using DESeq2 or characteristic direction.
Select differential expression analysis method:
Bulk RNA-seq Appyter

This pipeline enables you to analyze and visualize your bulk RNA sequencing datasets with an array of downstream analysis and visualization tools. The pipeline includes: PCA analysis, Clustergrammer interactive heatmap, library size analysis, differential gene expression analysis, enrichment analysis, and L1000 small molecule search.