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 |
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| Chronic myeloid leukemia cells |
GSM4676420 GSM4676421 GSM4676422 GSM4676423
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GSM4676424 GSM4676425 GSM4676426 GSM4676427
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GSM4676416 GSM4676417 GSM4676418 GSM4676419
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GSM4676428 GSM4676429 GSM4676430 GSM4676431
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GSM4676412 GSM4676413 GSM4676414 GSM4676415
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Submission Date: Jul 17, 2020
Summary: Bulk RNA sequencing was performed on a CML derived cell line, which contains an TET-ON inducible system for DUX4 inducible expression (DIE). Due to the unconventional cellular background used for the generation of an inducible FSHD cell line, bulk RNA seq was performed to determine if, and otherwise to what extend, this cellular background inteferes with the transcriptional program DUX4 is known to activate in muscle cells.
GEO Accession ID: GSE154649
PMID: No Pubmed ID
Submission Date: Jul 17, 2020
Summary: Bulk RNA sequencing was performed on a CML derived cell line, which contains an TET-ON inducible system for DUX4 inducible expression (DIE). Due to the unconventional cellular background used for the generation of an inducible FSHD cell line, bulk RNA seq was performed to determine if, and otherwise to what extend, this cellular background inteferes with the transcriptional program DUX4 is known to activate in muscle cells.
GEO Accession ID: GSE154649
PMID: No Pubmed ID
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.