Effect of CA3 overexpression on signalling pathways in different cell lines
RNA-seq (gene expression) · human · 32 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
- 32 samples: 10 conditions, mostly in triplicateGroups 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
- Carbonic Anhydrase 3 Overexpression Modulates Signalling Pathways Associated with Cellular Stress Resilience and ProteostasisInternational journal of molecular sciences · 2025
Read the full summary ↓
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 GSE311117_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 PRJNA1368701 and SRA study SRP648390. Searching any of these in the dataset finder brings you back here.
Supports a case/control comparison: 16 samples read as cases, 16 as controls.
How we read this: 10 replicated groups read from 32 sample titles; they account for 32 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.
- GSM9317301 HEK293T, CA3 overexpression, normoxia, repeat 1 HEK293T, CA3 overexpres…
- GSM9317302 HEK293T, CA3 overexpression, normoxia, repeat 2 HEK293T, CA3 overexpres…
- GSM9317303 HEK293T, CA3 overexpression, normoxia, repeat 3 HEK293T, CA3 overexpres…
- GSM9317304 HEK293T, CA3 overexpression, normoxia, repeat 4 HEK293T, CA3 overexpres…
- GSM9317305 HEK293T, vector control, normoxia, repeat 1 HEK293T, vector control…
- GSM9317306 HEK293T, vector control, normoxia, repeat 2 HEK293T, vector control…
- GSM9317307 HEK293T, vector control, normoxia, repeat 3 HEK293T, vector control…
- GSM9317308 HEK293T, vector control, normoxia, repeat 4 HEK293T, vector control…
- GSM9317309 MDA-MB-231, CA3 overexpression, hypoxia, repeat 1 MDA-MB-231, CA3 overexp…
- GSM9317310 MDA-MB-231, CA3 overexpression, hypoxia, repeat 2 MDA-MB-231, CA3 overexp…
- GSM9317311 MDA-MB-231, CA3 overexpression, hypoxia, repeat 3 MDA-MB-231, CA3 overexp…
- GSM9317312 MDA-MB-231, vector control, hypoxia, repeat 1 MDA-MB-231, vector cont…
- GSM9317313 MDA-MB-231, vector control, hypoxia, repeat 2 MDA-MB-231, vector cont…
- GSM9317314 MDA-MB-231, vector control, hypoxia, repeat 3 MDA-MB-231, vector cont…
- GSM9317315 MDA-MB-231, CA3 overexpression, normoxia, repeat 1 MDA-MB-231, CA3 overexp…
- GSM9317316 MDA-MB-231, CA3 overexpression, normoxia, repeat 2 MDA-MB-231, CA3 overexp…
- GSM9317317 MDA-MB-231, CA3 overexpression, normoxia, repeat 3 MDA-MB-231, CA3 overexp…
- GSM9317318 MDA-MB-231, vector control, normoxia, repeat 1 MDA-MB-231, vector cont…
- GSM9317319 MDA-MB-231, vector control, normoxia, repeat 2 MDA-MB-231, vector cont…
- GSM9317320 MDA-MB-231, vector control, normoxia, repeat 3 MDA-MB-231, vector cont…
- GSM9317321 SVCT, CA3 overexpression, hypoxia, repeat 1 SVCT, CA3 overexpressio…
- GSM9317322 SVCT, CA3 overexpression, hypoxia, repeat 2 SVCT, CA3 overexpressio…
- GSM9317323 SVCT, CA3 overexpression, hypoxia, repeat 3 SVCT, CA3 overexpressio…
- GSM9317324 SVCT, vector control, hypoxia, repeat 1 SVCT, vector control, h…
- GSM9317325 SVCT, vector control, hypoxia, repeat 2 SVCT, vector control, h…
- GSM9317326 SVCT, vector control, hypoxia, repeat 3 SVCT, vector control, h…
- GSM9317327 SVCT, CA3 overexpression, normoxia, repeat 1 SVCT, CA3 overexpressio…
- GSM9317328 SVCT, CA3 overexpression, normoxia, repeat 2 SVCT, CA3 overexpressio…
- GSM9317329 SVCT, CA3 overexpression, normoxia, repeat 3 SVCT, CA3 overexpressio…
- GSM9317330 SVCT, vector control, normoxia, repeat 1 SVCT, vector control, n…
- GSM9317331 SVCT, vector control, normoxia, repeat 2 SVCT, vector control, n…
- GSM9317332 SVCT, vector control, normoxia, repeat 3 SVCT, vector control, n…
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- GSE222196 Treatment of prostate cancer cell lines with Androgen Receptor and Receptor Tyrosine Kinase inhibitors 246 samples shares lines
- GSE306664 Revealing differential type I and type II IFN responses in different immune cells in various human diseases by a new IFNs transcriptomic atlas 131 samples shares different
- GSE328048 Single-cell transcriptome reveals keratinocyte subclusters that contribute to altered differentiation and inflammatory responses in atopic dermatitis 116 samples shares different
- GSE315928 Differential T cell clonal dynamics underlie outcomes to frontline chemoimmunotherapy in advanced gastric cancer [paired scRNA/TCR-seq] 94 samples shares different
- GSE312063 Characterization of esophageal squamous cell carcinoma cell lines sensitivity to Palbociclib 88 samples shares lines
- GSE263588 Comprehensive transcriptomic profiling of glioblastoma patient-derived primary tumor cell lines using bulk RNA-sequencing 49 samples shares lines
- GSE303762 Benchmarking long-read RNA-sequencing technologies with LongBench: a cross-platform reference dataset profiling cancer cell lines with bulk and single-cell approaches 38 samples shares lines
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.