N-acetyl-L-cysteine ethyl ester (NACET) induces the transcription factor NRF2 in the retina and prevents its aging and diabetic retinopathy. [II]
RNA-seq (gene expression) · human · 18 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
- 18 samples: 18 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.
- Paper
- N-acetyl-l-cysteine ethyl ester (NACET) induces the transcription factor NRF2 and prevents retinal aging and diabetic retinopathyRedox biology · 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 GSE299876_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 PRJNA1277212 and SRA study SRP592247. 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 18 sample titles: 18 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.
- GSM9048232 1) ARPE-19 control untreated replicate 1 (ARPE_Ctrl_rep1)
- GSM9048233 2) ARPE-19 control untreated replicate 2 (ARPE_Ctrl_rep2)
- GSM9048234 3) ARPE-19 control untreated replicate 3 (ARPE_Ctrl_rep3)
- GSM9048235 4) ARPE-19 control H2O2-treated replicate 1 (ARPE_ H2O2_rep1)
- GSM9048236 5) ARPE-19 control H2O2-treated replicate 2 (ARPE_ H2O2_rep2)
- GSM9048237 6) ARPE-19 control H2O2-treated replicate 3 (ARPE_ H2O2_rep3)
- GSM9048238 7) ARPE-19 control NACET-treated replicate 1 (ARPE_ NACET_rep1)
- GSM9048239 8) ARPE-19 control NACET-treated replicate 2 (ARPE_ NACET_rep2)
- GSM9048240 9) ARPE-19 control NACET-treated replicate 3 (ARPE_ NACET_rep3)
- GSM9048241 10) ARPE-19 NRF2-edited untreated replicate 1 (C1_Ctrl_rep1)
- GSM9048242 11) ARPE-19 NRF2-edited untreated replicate 2 (C1_Ctrl _rep2)
- GSM9048243 12) ARPE-19 NRF2-edited untreated replicate 3 (C1_Ctrl_rep3)
- GSM9048244 13) ARPE-19 NRF2-edited H2O2-treated replicate 1 (C1_H2O2_rep1)
- GSM9048245 14) ARPE-19 NRF2-edited H2O2-treated replicate 2 (C1_H2O2_rep2)
- GSM9048246 15) ARPE-19 NRF2-edited H2O2-treated replicate 3 (C1_H2O2_rep3)
- GSM9048247 16) ARPE-19 NRF2-edited NACET-treated replicate 1 (C1_NACET_rep1)
- GSM9048248 17) ARPE-19 NRF2-edited NACET-treated replicate 2 (C1_NACET_rep2)
- GSM9048249 18) ARPE-19 NRF2-edited NACET-treated replicate 3 (C1_NACET_rep3)
- GSE253121 NELF prevents transcriptional readthrough into DNA replication zones in cancer cells 70 samples shares transcription, prevents
- GSE307817 A MEF2C transcription factor network regulates proliferation of glomerular endothelial cells in diabetic kidney disease 12 samples shares transcription, diabetic
- GSE292969 Effect of CCS1477 treatment on gene expression in NRF2-activated lung cancer cells 18 samples shares nrf2
- GSE314310 Cardiopedia-Ligand: a Ligand Stimulation Atlas for Cardiac Function and Transcriptional Response 468 samples shares transcription
- GSE271676 Spatial Transcriptional Landscape of Human Heart Failure 178 samples shares transcription
- GSE274546 The Multi-Layered Transcriptional Architecture of Glioblastoma Ecosystems [10X] 121 samples shares transcription
- GSE178411 Whole-transcriptome analysis illustrates evolving transcriptional human response to injury in acute wounds and scars 108 samples shares transcription
- GSE306264 Transcriptional profiling of Hutchinson-Gilford Progeria patients identifies primary target pathways of the disease-causing progerin protein 96 samples shares transcription
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.