The Long Non-coding RNA Lnc-RAINY Regulates Genes Involved in Radiation Susceptibility Through DNA:DNA:RNA triplex-forming Interactions and has Tumor Therapeutic Potential in Non-small Cell Lung Cancers [RNA-seq]
RNA-seq (gene expression) · human · 24 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)
- Topic
- Lung cancerThis series is part of our curated briefing on it.
- Samples
- 24 samples: 24 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
- Lnc-RAINY regulates genes involved in radiation susceptibility through DNA:DNA:RNA triplex-forming interactions and has tumor therapeutic potential in lung cancersNon-coding RNA research · 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 GSE274485_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 PRJNA1146491 and SRA study SRP528179. 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 24 sample titles: 24 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.
- GSM8449997 H460 siCtrl NR RNA-seq A
- GSM8449998 H460 siCtrl 8gy RNA-seq A
- GSM8449999 H460 siPool NR RNA-seq A
- GSM8450000 H460 siPool 8gy RNA-seq A
- GSM8450001 H460 siCtrl NR RNA-seq B
- GSM8450002 H460 siCtrl 8gy RNA-seq B
- GSM8450003 H460 siPool NR RNA-seq B
- GSM8450004 H460 siPool 8gy RNA-seq B
- GSM8450005 H460 siCtrl NR RNA-seq C
- GSM8450006 H460 siCtrl 8gy RNA-seq C
- GSM8450007 H460 siPool NR RNA-seq C
- GSM8450008 H460 siPool 8gy RNA-seq C
- GSM8450009 H820 siCtrl NR RNA-seq A
- GSM8450010 H820 siCtrl 8gy RNA-seq A
- GSM8450011 H820 siPool NR RNA-seq A
- GSM8450012 H820 siPool 8gy RNA-seq A
- GSM8450013 H820 siCtrl NR RNA-seq B
- GSM8450014 H820 siCtrl 8gy RNA-seq B
- GSM8450015 H820 siPool NR RNA-seq B
- GSM8450016 H820 siPool 8gy RNA-seq B
- GSM8450017 H820 siCtrl NR RNA-seq C
- GSM8450018 H820 siCtrl 8gy RNA-seq C
- GSM8450019 H820 siPool NR RNA-seq C
- GSM8450020 H820 siPool 8gy RNA-seq C
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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.