Sequencing of AsPC-1 cells with CYP3A5 expression modulation
RNA-seq (gene expression) · human · 12 samples
- What it is
- RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
- Organism
- Homo sapiens (human)
- Samples
- 12 samples: 3 × RSEM_3A5OE vs 3 × RSEM_CT vs 3 × RSEM_siCYP3A5 vs 3 × RSEM_siNCGroups are read from the sample names, not from the paper. Check the list below.
- Data you can get
- A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
- Paper
- CYP3A5 unexpectedly regulates glucose metabolism through the AKT-TXNIP-GLUT1 axis in pancreatic cancerGenes & diseases · 2024
Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.
Processed table
The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE149000_RAW.tar (it can run to tens of gigabytes).
Raw sequencing reads
The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.
What the files usually look like: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.
Also filed as BioProject PRJNA627104 and SRA study SRP257677. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 12 samples.
How we read this: 4 replicated groups read from 12 sample titles; they account for 12 of them. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.
- GSM4487179 RSEM_3A5OE_1 RSEM_3A5OE
- GSM4487180 RSEM_3A5OE_2 RSEM_3A5OE
- GSM4487181 RSEM_3A5OE_3 RSEM_3A5OE
- GSM4487182 RSEM_CT_1 RSEM_CT
- GSM4487183 RSEM_CT_2 RSEM_CT
- GSM4487184 RSEM_CT_3 RSEM_CT
- GSM4487185 RSEM_siCYP3A5_1 RSEM_siCYP3A5
- GSM4487186 RSEM_siCYP3A5_2 RSEM_siCYP3A5
- GSM4487187 RSEM_siCYP3A5_3 RSEM_siCYP3A5
- GSM4487188 RSEM_siNC_1 RSEM_siNC
- GSM4487189 RSEM_siNC_2 RSEM_siNC
- GSM4487190 RSEM_siNC_3 RSEM_siNC
- GSE301148 Simultaneous Targeting of KRAS and CDK4 Synergistically Induces Durable Growth Arrest in Pancreatic Cancer Cells [AsPC-1_RNA_Seq] 12 samples shares aspc-1
- GSE277629 RNA-seq of AsPC-1 cell line-derived xenograft mouse tumors treated with a MEK-RAF molecular glue, IK-595 24 samples shares aspc-1
- GSE295784 Selective modulation of gene expression in activated normal human peripheral blood mononuclear cells by store-operated calcium entry blocker BTP2 40 samples shares modulation
- GSE279593 BMP, MEK and WNT modulation with NGN2 expression for rapid neuron differentiation from hiPSC amenable to regional patterning 158 samples shares modulation
- GSE313156 Temporal modulation of gene expression in a controlled Schistosoma mansoni human infection model 144 samples shares modulation
- GSE264395 The disease modeling of Jacob Syndrome reveals an aberrant genome-wide expression modulation from the Y chromosome [RNA-seq] 99 samples shares modulation
- GSE276347 Effect of modulation of microRNA-455-3p on gene expression in SW1353 human chondrosarcoma cells 12 samples shares modulation
- GSE301622 RNA Sequencing of the Impact of CXCR3 receptor modulation on activated T cells function 9 samples shares modulation
Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.