RNA Sequencing of HEK293T cells expressing 15xGly or 99xGly
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.
- Paper
- Polyglycine-mediated aggregation of FAM98B disrupts tRNA processing in GGC repeat disordersScience (New York, N.Y.) · 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 GSE246377_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 PRJNA1032629 and SRA study SRP468675. 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.
- GSM7867877 HEK293T_15xGly_c9_+DOX
- GSM7867878 HEK293T_15xGly_c10_+DOX
- GSM7867879 HEK293T_15xGly_c12_+DOX
- GSM7867880 HEK293T_15xGly_c9_-DOX
- GSM7867881 HEK293T_15xGly_c10_-DOX
- GSM7867882 HEK293T_15xGly_c12_-DOX
- GSM7867883 HEK293T_99xGly_c5_+DOX
- GSM7867884 HEK293T_99xGly_c8_+DOX
- GSM7867885 HEK293T_99xGly_c26_+DOX
- GSM7867886 HEK293T_99xGly_c5_-DOX
- GSM7867887 HEK293T_99xGly_c8_-DOX
- GSM7867888 HEK293T_99xGly_c26_-DOX
- GSE317890 Transcriptomic profiling of interferon responses induced by IVT sgRNAs in CRISPRi HEK293T cells 360 samples shares hek293t
- GSE315903 Temporal dynamics and functional annotation of transcriptome rhythmicity in HEK293T cells 39 samples shares hek293t
- GSE335700 RNA sequencing of vtRNA-knockout HEK293T cell lines 36 samples shares hek293t
- GSE242550 SRSF1 knockdown in HEK293T cells with ionizing radiation 20 samples shares hek293t
- GSE247514 Transcriptional response induced by knockdown of HUWE1 in human HEK293T cells 20 samples shares hek293t
- GSE266017 Effect of DHX29 depletion on mRNA stability in HEK293T cells 18 samples shares hek293t
- GSE270586 The specificity of gene activation was revealed by RNA-seq in the HEK293T cells transfected with the dCasMINI-VPR or dhpCasMINI-VPR system targeting IL1RN [RNA-seq] 18 samples shares hek293t
- GSE186299 Comparative Analysis of Transcriptional RNA Expression in HEK293T Cells Transfected with the H3N2 Subtype Canine Influenza Viruses M1/M2 and Canine RIG-I 15 samples shares hek293t
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.