RNA-seq of immortalized human podocytes treated with calcineurin inhibitors
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: 12 samples, each with a distinct title — no replicated groupsGroups 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.
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 GSE317483_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 PRJNA1413410 and SRA study SRP666019. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 12 sample titles: 12 distinct titles with little repetition. 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.
- GSM9472942 differentiated immortalized human podocyte, DMSO (replicate 1), 24 hrs
- GSM9472943 differentiated immortalized human podocyte, DMSO (replicate 2), 24 hrs
- GSM9472944 differentiated immortalized human podocyte, DMSO (replicate 3), 24 hrs
- GSM9472945 differentiated immortalized human podocyte, 100 nM CSA (replicate 1), 24 hrs
- GSM9472946 differentiated immortalized human podocyte, 100 nM CSA (replicate 2), 24 hrs
- GSM9472947 differentiated immortalized human podocyte, 100 nM CSA (replicate 3), 24 hrs
- GSM9472948 differentiated immortalized human podocyte, 100 nM TAC (replicate 1), 24 hrs
- GSM9472949 differentiated immortalized human podocyte, 100 nM TAC (replicate 2), 24 hrs
- GSM9472950 differentiated immortalized human podocyte, 100 nM TAC (replicate 3), 24 hrs
- GSM9472951 differentiated immortalized human podocyte, 100 nM VCS (replicate 1), 24 hrs
- GSM9472952 differentiated immortalized human podocyte, 100 nM VCS (replicate 2), 24 hrs
- GSM9472953 differentiated immortalized human podocyte, 100 nM VCS (replicate 3), 24 hrs
- GSE319664 RNA-seq analysis of tumors derived from a xenograft model treated with the KDM5B inhibitors JB-157 or JB-161. 29 samples shares inhibitors, rna-seq, treated
- GSE297400 Transcriptome Profiling of Human Dermal Fibroblasts Treated with 4 Phosphodiesterase Inhibitors Across Multiple Dose Gradients 199 samples shares inhibitors, treated
- GSE295647 Catalytic inhibition of KAT6/KAT7 enhances the efficacy and overcomes primary and acquired resistance to Menin inhibitors in acute myeloid leukaemia [human RNA-seq] 36 samples shares inhibitors, rna-seq
- GSE334189 RNA-seq analysis of global gene expression changes in human FSHD immortalized myotubes following treatment with the BAZ1A inhibitor C06 18 samples shares immortalized, rna-seq
- GSE305224 Covalent pan-TEAD inhibitors block YAP activity and demonstrate brain penetrance in Hippo-dependent cancer models [RNA-seq] 120 samples shares inhibitors, rna-seq
- GSE281517 Lysosomal sequestration of PARP inhibitors drives heterogeneous accumulation in ovarian cancer to increase efficacy [RNA-seq] 72 samples shares inhibitors, rna-seq
- GSE302434 Bromodomain Inhibitors to Prevent Development of Resistance to Targeted Kinase Inhibitors in Schwannomas [RNA-seq] 43 samples shares inhibitors, rna-seq
- GSE272460 Transcriptome analysis of pancreatic progenitor organoids (POs) carrying PDAC related mutations, treated with ERK inhibitors and depleted of AP-1 factors 40 samples shares inhibitors, treated
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.