A combination treatment based on drug repurposing demonstrates mutation agnostic efficacy in pre-clinical retinopathy models.
RNA-seq (gene expression) · mouse · 40 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
- Mus musculus (mouse)
- Samples
- 40 samples: 35 distinct titles, 4 of them repeatedGroups 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
- A combination treatment based on drug repurposing demonstrates mutation-agnostic efficacy in pre-clinical retinopathy modelsNature communications · 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 GSE238218_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 PRJNA998379 and SRA study SRP443150. Searching any of these in the dataset finder brings you back here.
Supports a case/control comparison: 1 samples read as cases, 5 as controls.
How we read this: Read from 40 sample titles: 35 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.
- GSM7474906 Wild_Type_non_treated
- GSM7474907 Rd10_Female_vehicle
- GSM7474908 Rd10_Female_TMB
- GSM7660586 chip.WT_M1_y
- GSM7660587 chip.WT_M2_y
- GSM7660588 chip.WT_F3_y
- GSM7660589 chip.WT_F4_y
- GSM7660590 chip.RPE_CtF1
- GSM7660591 chip.RPE_CtF2
- GSM7660592 chip.RPE_CtM4
- GSM7660593 chip.RPE_CtM5
- GSM7660594 chip.RPE_DrF1
- GSM7660595 chip.RPE_DrF3
- GSM7660596 chip.RPE_DrF4
- GSM7660597 chip.RPE_DrM5
- GSM7660598 chip.RPE_DrM6
- GSM7660599 chip.B6_F1_S1_x
- GSM7660600 chip.B6_F2_S2_x
- GSM7660601 chip.B6_M4_S3_x
- GSM7660602 chip.B6_M5_S4_x
- GSM7660603 chip.RD10_DR_F4_S22
- GSM7660604 chip.RD10_DR_F1_S21
- GSM7660605 chip.RD10_DR_M3_S24
- GSM7660606 chip.RD10_DR_M2_S23
- GSM7660607 chip.RD10_CF3_S14
- GSM7660608 chip.RD10_CF2_S13
- GSM7660609 chip.RD10_CF1_S12
- GSM7660610 chip.RD9_CF1_S6
- GSM7660611 chip.RD10_CM5_S15
- GSM7660612 chip.RD9_CM3_S7
- GSM7660613 chip.RD9_CM4_S8
- GSM7660614 chip.RD8_CM1_S5
- GSM7660615 chip.RD9_DF1_S9
- GSM7660616 chip.RD9_DF2_S10
- GSM7660617 chip.RD10_DF2_S17
- GSM7660618 chip.RD10_DF1_S16
- GSM7660619 chip.RD9_DM4_S11
- GSM7660620 chip.RD10_DM3_S18
- GSM7660621 chip.RD10_DM4_S19
- GSM7660622 chip.RD10_DM5_S20
- GSE238217 A combination treatment based on drug repurposing demonstrates mutation agnostic efficacy in pre-clinical retinopathy models. [RNA-seq: Rd10] 24 samples shares demonstrates, pre-clinical, combination, repurposing, retinopathy, treatment, mutation, agnostic
- GSE300646 Exploring tumor dynamics and responses of prostate cancer to IL-27 based treatment combinations through biodynamic imaging and RNA sequencing analyses 23 samples shares combination, treatment
- GSE275444 Human-correlated genetic HCC and HCC-organoid models identify combination therapy for precision medicine 216 samples shares combination
- GSE284500 Transcriptional profiling of hippocampus from a zQ175 KI mouse model of Huntington's disease treated with either HTT-10150 siRNA targeting full-length HTT or combination of HTT-634 and HTT-486 siRNAs targeting HTT1a 192 samples shares combination
- GSE266246 Repurposing Large-Format Microarrays for Scalable Spatial Transcriptomics - Bulk RNA-seq 180 samples shares repurposing
- GSE342349 CT26 multi-tissue RNA-seq under immunotherapy combinations 72 samples shares combination
- GSE183687 Transcriptomic profiling of isolated hepatic macrophage subsets (Kupffer cells, Monocyte-derived Macrophages and Monocytes) in common bile duct ligated (CBDL)-mice, mice with acute colitis (DSS), and combinations (CBDL+DSS) 58 samples shares combination
- GSE338894 An orally active, gut-enriched AhR agonist demonstrates therapeutic efficacy in colitis through regulation of inflammation, barrier homeostasis, and fibrosis 50 samples shares demonstrates
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.