Gene counts are sourced from ARCHS4, which provides uniform alignment of GEO samples.
You can learn more about ARCHS4 and its pipeline here.
Select conditions below to toggle them from the plot:
| GROUP | CONDITION | SAMPLES |
|---|---|---|
| thyroid primary cells |
GSM2679823 GSM2679824 GSM2679825
|
|
|
GSM2677826 GSM2677827 GSM2677828
|
Submission Date: Jun 21, 2017
Summary: The protein encoded by the NRG1 gene is a membrane glycoprotein that mediates cell-cell signaling and plays a critical role in the growth and development of multiple organ systems. Here we report gene expression profiles of human thyroid primary cells on Day 5 treated with NRG1 siRNA. The primary cells were generated from fresh nontumorous thyroid tissues obtained from thyroid cancer patients. A number of new dysregulated genes of NRG1 were discovered. This study reveals a novel role of NRG1 in downstream gene regulation and provides a new explanation of NRG1's function in thyroid cancer.
GEO Accession ID: GSE100322
PMID: 29121253
Submission Date: Jun 21, 2017
Summary: The protein encoded by the NRG1 gene is a membrane glycoprotein that mediates cell-cell signaling and plays a critical role in the growth and development of multiple organ systems. Here we report gene expression profiles of human thyroid primary cells on Day 5 treated with NRG1 siRNA. The primary cells were generated from fresh nontumorous thyroid tissues obtained from thyroid cancer patients. A number of new dysregulated genes of NRG1 were discovered. This study reveals a novel role of NRG1 in downstream gene regulation and provides a new explanation of NRG1's function in thyroid cancer.
GEO Accession ID: GSE100322
PMID: 29121253
Visualizations are precomputed using the Python package scanpy on the top 5000 most variable genes.
Differential expression signatures are automatically computed using the limma R package.
More options for differential expression are available to compute below.
Signatures:
Control Condition
Perturbation Condition
Only conditions with at least 1 replicate are available to select
Differential expression signatures can be computed using DESeq2 or characteristic direction.
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.