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.
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GROUP CONDITION SAMPLES
Arcuate nucelus, hypothalamus
GSM4879444 GSM4879445 GSM4879448 GSM4879449 GSM4879451 GSM4879452 GSM4879455 GSM4879456 GSM4879457 GSM4879458
GSM4879442 GSM4879443 GSM4879446 GSM4879447 GSM4879450 GSM4879453 GSM4879454 GSM4879462 GSM4879463
Nucleus of the solitary tract, brainstem
GSM4879466 GSM4879467 GSM4879470 GSM4879471 GSM4879474 GSM4879475 GSM4879478 GSM4879479 GSM4879482 GSM4879483
GSM4879464 GSM4879465 GSM4879468 GSM4879469 GSM4879472 GSM4879473 GSM4879476 GSM4879477 GSM4879480 GSM4879481
Paraventricular Nucleus, hypothalamus
GSM4879427 GSM4879428 GSM4879430 GSM4879431 GSM4879433 GSM4879434 GSM4879436 GSM4879437 GSM4879440 GSM4879441
GSM4879425 GSM4879426 GSM4879429 GSM4879432 GSM4879435 GSM4879438 GSM4879439 GSM4879459 GSM4879460 GSM4879461
Description

Submission Date: Nov 04, 2020

Summary: Therapeutic PYY/GLP-1 receptor co-agonism in obese-diabetic mice synergistically activates discrete hypothalamic and brainstem neuronal circuitries for weight reduction, increased insulin sensitization, recovery of pancreatic ß-cell function and diabetes remission.

GLP1-R agonism (IP118) and PYY-2R agonism (PY115) in combination yield surprising synergistic effects on energy homeostasis in mammals. To better understand the genesis of these effects, RNAseq profiling was performed on key brain regions following an acute dose of IP118+PY115.

GEO Accession ID: GSE160802

PMID: 34781035

Description

Submission Date: Nov 04, 2020

Summary: Therapeutic PYY/GLP-1 receptor co-agonism in obese-diabetic mice synergistically activates discrete hypothalamic and brainstem neuronal circuitries for weight reduction, increased insulin sensitization, recovery of pancreatic ß-cell function and diabetes remission.

GLP1-R agonism (IP118) and PYY-2R agonism (PY115) in combination yield surprising synergistic effects on energy homeostasis in mammals. To better understand the genesis of these effects, RNAseq profiling was performed on key brain regions following an acute dose of IP118+PY115.

GEO Accession ID: GSE160802

PMID: 34781035

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:

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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.
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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.