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
Skeletal muscle
GSM6234950 GSM6234951 GSM6234952 GSM6234953 GSM6234958 GSM6234959 GSM6234960 GSM6234961 GSM6234964 GSM6234965 GSM6234966 GSM6234967 GSM6234970 GSM6234971 GSM6234974 GSM6234975
GSM6234948 GSM6234949 GSM6234954 GSM6234955 GSM6234956 GSM6234957 GSM6234962 GSM6234963 GSM6234968 GSM6234969 GSM6234972 GSM6234973
Subcutaneous adipose tissue
GSM6234978 GSM6234979 GSM6234980 GSM6234981 GSM6234984 GSM6234985 GSM6234990 GSM6234991 GSM6234992 GSM6234993 GSM6234996 GSM6234997 GSM6234998 GSM6234999 GSM6235000 GSM6235001 GSM6235004 GSM6235005 GSM6235008 GSM6235009
GSM6234976 GSM6234977 GSM6234982 GSM6234983 GSM6234986 GSM6234987 GSM6234988 GSM6234989 GSM6234994 GSM6234995 GSM6235002 GSM6235003 GSM6235006 GSM6235007
Description

Submission Date: Jun 10, 2022

Summary: Weight loss and physical activity are the cornerstones of therapy for type 2 diabetes. However, providing an effective lifestyle intervention is difficult because of limited availability of reliable programs, patient inconvenience, and cost. A worksite setting provides a unique opportunity for lifestyle therapy because it reduces these barriers. We conducted an 8-month randomized controlled trial in persons with obesity and diabetes to determine the therapeutic effects and potential mechanisms of intensive-lifestyle-therapy (energy restriction and supervised exercise training) conducted at the worksite. Intensive-lifestyle-therapy resulted in marked (17%) weight loss, associated with beneficial changes in body composition, cardiorespiratory fitness, muscle strength, glycemic control, β-cell function and insulin sensitivity in the liver, adipose tissue, and skeletal muscle, despite a decrease in diabetes medication use. These beneficial effects were associated with changes in skeletal muscle (increased metabolite content and expression of genes involved in NAD biosynthesis, sirtuin signaling, and mitochondrial biogenesis and function), adipose tissue (decreased expression of genes involved in extracellular matrix remodeling), and a major plasma mediator of insulin resistance (decreased plasma PAI-1). These findings demonstrate that effective intensive-lifestyle-therapy can be implemented at the worksite, and has profound therapeutic, clinical, physiological, and cellular effects in people with obesity and type 2 diabetes.

GEO Accession ID: GSE205891

PMID: 36084645

Description

Submission Date: Jun 10, 2022

Summary: Weight loss and physical activity are the cornerstones of therapy for type 2 diabetes. However, providing an effective lifestyle intervention is difficult because of limited availability of reliable programs, patient inconvenience, and cost. A worksite setting provides a unique opportunity for lifestyle therapy because it reduces these barriers. We conducted an 8-month randomized controlled trial in persons with obesity and diabetes to determine the therapeutic effects and potential mechanisms of intensive-lifestyle-therapy (energy restriction and supervised exercise training) conducted at the worksite. Intensive-lifestyle-therapy resulted in marked (17%) weight loss, associated with beneficial changes in body composition, cardiorespiratory fitness, muscle strength, glycemic control, β-cell function and insulin sensitivity in the liver, adipose tissue, and skeletal muscle, despite a decrease in diabetes medication use. These beneficial effects were associated with changes in skeletal muscle (increased metabolite content and expression of genes involved in NAD biosynthesis, sirtuin signaling, and mitochondrial biogenesis and function), adipose tissue (decreased expression of genes involved in extracellular matrix remodeling), and a major plasma mediator of insulin resistance (decreased plasma PAI-1). These findings demonstrate that effective intensive-lifestyle-therapy can be implemented at the worksite, and has profound therapeutic, clinical, physiological, and cellular effects in people with obesity and type 2 diabetes.

GEO Accession ID: GSE205891

PMID: 36084645

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.