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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Select conditions below to toggle them from the plot:

GROUP CONDITION SAMPLES
C57BL/6J mice
GSM4502646 GSM4502647 GSM4502648
GSM4502712 GSM4502713 GSM4502714
GSM4502715 GSM4502716 GSM4502717
GSM4502685 GSM4502686 GSM4502687
GSM4502652 GSM4502654
GSM4502694 GSM4502695 GSM4502696
GSM4502751 GSM4502752 GSM4502753
GSM4502742 GSM4502743 GSM4502744
GSM4502640 GSM4502641 GSM4502642
GSM4502709 GSM4502710 GSM4502711
GSM4502601 GSM4502602 GSM4502603
GSM4502739 GSM4502740 GSM4502741
GSM4502595 GSM4502596 GSM4502597
GSM4502655 GSM4502656 GSM4502657
GSM4502682 GSM4502683 GSM4502684
GSM4502736 GSM4502737 GSM4502738
GSM4502616 GSM4502617 GSM4502618
GSM4502622 GSM4502623 GSM4502624
GSM4502679 GSM4502680 GSM4502681
GSM4502670 GSM4502671 GSM4502672
GSM4502673 GSM4502674 GSM4502675
GSM4502718 GSM4502719 GSM4502720
GSM4502598 GSM4502599 GSM4502600
GSM4502604 GSM4502605 GSM4502606
GSM4502625 GSM4502626 GSM4502627
GSM4502592 GSM4502593 GSM4502594
GSM4502610 GSM4502611 GSM4502612
GSM4502661 GSM4502662 GSM4502663
GSM4502634 GSM4502635 GSM4502636
GSM4502691 GSM4502692 GSM4502693
GSM4502628 GSM4502629 GSM4502630
GSM4502721 GSM4502722 GSM4502723
GSM4502667 GSM4502668 GSM4502669
GSM4502676 GSM4502677 GSM4502678
GSM4502748 GSM4502749 GSM4502750
GSM4502631 GSM4502632 GSM4502633
GSM4502700 GSM4502701 GSM4502702
GSM4502703 GSM4502704 GSM4502705
GSM4502724 GSM4502725 GSM4502726
GSM4502706 GSM4502707 GSM4502708
GSM4502664 GSM4502665 GSM4502666
GSM4502733 GSM4502734 GSM4502735
GSM4502697 GSM4502698 GSM4502699
GSM4502730 GSM4502731 GSM4502732
GSM4502745 GSM4502746 GSM4502747
GSM4502637 GSM4502638 GSM4502639
GSM4502607 GSM4502608 GSM4502609
GSM4502727 GSM4502728 GSM4502729
GSM4502619 GSM4502620 GSM4502621
GSM4502649 GSM4502650 GSM4502651
GSM4502613 GSM4502614 GSM4502615
GSM4502643 GSM4502644 GSM4502645
GSM4502658 GSM4502659 GSM4502660
GSM4502688 GSM4502689 GSM4502690
C57BL/6J micea
GSM4502653
Description

Submission Date: Apr 27, 2020

Summary: To investigate the global gene expression dynamics associated with short-term fasting, we used mRNA-seq to profile the transcriptomes of nine organs obtained from mice subjected to six different STF duration (0, 2, 8, 12, 18 and 22 hours of fasting; n=3 per time point; Fig. 1a). The nine organs profiled were: olfactory bulb (OB), brain (BRN, which includes the telencephalon and diencephalon), cerebellum (CBL), brainstem (BST, which consists of the mesencephalon, pons, and myelencephalon), stomach (STM), liver (LIV), interscapular brown adipose tissue (iBAT), perigonadal white adipose tissue (pgWAT), and posterior-subcutaneous white adipose tissue (psWAT).

GEO Accession ID: GSE149468

PMID: 32526449

Description

Submission Date: Apr 27, 2020

Summary: To investigate the global gene expression dynamics associated with short-term fasting, we used mRNA-seq to profile the transcriptomes of nine organs obtained from mice subjected to six different STF duration (0, 2, 8, 12, 18 and 22 hours of fasting; n=3 per time point; Fig. 1a). The nine organs profiled were: olfactory bulb (OB), brain (BRN, which includes the telencephalon and diencephalon), cerebellum (CBL), brainstem (BST, which consists of the mesencephalon, pons, and myelencephalon), stomach (STM), liver (LIV), interscapular brown adipose tissue (iBAT), perigonadal white adipose tissue (pgWAT), and posterior-subcutaneous white adipose tissue (psWAT).

GEO Accession ID: GSE149468

PMID: 32526449

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

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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.