RNA sequencing of vtRNA-knockout HEK293T cell lines
RNA-seq (gene expression) · human · 36 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
- 36 samples: 12 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.
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 GSE335700_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 PRJNA1479262 and SRA study SRP710310. Searching any of these in the dataset finder brings you back here.
Supports a case/control comparison: 27 samples read as cases, 9 as controls.
How we read this: 12 replicated groups read from 36 sample titles; they account for 36 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.
- GSM9817833 Plasmidsaurus seq, wild-type, bio rep 1 Plasmidsaurus seq, wild…
- GSM9817834 Plasmidsaurus seq, wild-type, bio rep 2 Plasmidsaurus seq, wild…
- GSM9817835 Plasmidsaurus seq, wild-type, bio rep 3 Plasmidsaurus seq, wild…
- GSM9817836 Plasmidsaurus seq, vtRNA1-1 knockout, bio rep 1 Plasmidsaurus seq, vtRN…
- GSM9817837 Plasmidsaurus seq, vtRNA1-1 knockout, bio rep 2 Plasmidsaurus seq, vtRN…
- GSM9817838 Plasmidsaurus seq, vtRNA1-1 knockout, bio rep 3 Plasmidsaurus seq, vtRN…
- GSM9817839 Plasmidsaurus seq, vtRNA1-2 knockout, bio rep 1 Plasmidsaurus seq, vtRN…
- GSM9817840 Plasmidsaurus seq, vtRNA1-2 knockout, bio rep 2 Plasmidsaurus seq, vtRN…
- GSM9817841 Plasmidsaurus seq, vtRNA1-2 knockout, bio rep 3 Plasmidsaurus seq, vtRN…
- GSM9817842 Plasmidsaurus seq, vtRNA1-3 knockout, bio rep 1 Plasmidsaurus seq, vtRN…
- GSM9817843 Plasmidsaurus seq, vtRNA1-3 knockout, bio rep 2 Plasmidsaurus seq, vtRN…
- GSM9817844 Plasmidsaurus seq, vtRNA1-3 knockout, bio rep 3 Plasmidsaurus seq, vtRN…
- GSM9817845 Plasmidsaurus seq, vtRNA1 triple-knockout, clone 1, bio rep 1 Plasmidsaurus seq, vtRN…
- GSM9817846 Plasmidsaurus seq, vtRNA1 triple-knockout, clone 1, bio rep 2 Plasmidsaurus seq, vtRN…
- GSM9817847 Plasmidsaurus seq, vtRNA1 triple-knockout, clone 1, bio rep 3 Plasmidsaurus seq, vtRN…
- GSM9817848 Plasmidsaurus seq, vtRNA1 triple-knockout, clone 2, bio rep 1 Plasmidsaurus seq, vtRN…
- GSM9817849 Plasmidsaurus seq, vtRNA1 triple-knockout, clone 2, bio rep 2 Plasmidsaurus seq, vtRN…
- GSM9817850 Plasmidsaurus seq, vtRNA1 triple-knockout, clone 2, bio rep 3 Plasmidsaurus seq, vtRN…
- GSM9817851 Plasmidsaurus seq, vtRNA1 triple-knockout, clone 3, bio rep 1 Plasmidsaurus seq, vtRN…
- GSM9817852 Plasmidsaurus seq, vtRNA1 triple-knockout, clone 3, bio rep 2 Plasmidsaurus seq, vtRN…
- GSM9817853 Plasmidsaurus seq, vtRNA1 triple-knockout, clone 3, bio rep 3 Plasmidsaurus seq, vtRN…
- GSM9817854 Plasmidsaurus seq, control deletion, bio rep 1 Plasmidsaurus seq, cont…
- GSM9817855 Plasmidsaurus seq, control deletion, bio rep 2 Plasmidsaurus seq, cont…
- GSM9817856 Plasmidsaurus seq, control deletion, bio rep 3 Plasmidsaurus seq, cont…
- GSM9817857 Genewiz seq, wild-type, bio rep 1 Genewiz seq, wild-type,
- GSM9817858 Genewiz seq, wild-type, bio rep 2 Genewiz seq, wild-type,
- GSM9817859 Genewiz seq, wild-type, bio rep 3 Genewiz seq, wild-type,
- GSM9817860 Genewiz seq, vtRNA1-1 knockout, bio rep 1 Genewiz seq, vtRNA1-1 k…
- GSM9817861 Genewiz seq, vtRNA1-1 knockout, bio rep 2 Genewiz seq, vtRNA1-1 k…
- GSM9817862 Genewiz seq, vtRNA1-1 knockout, bio rep 3 Genewiz seq, vtRNA1-1 k…
- GSM9817863 Genewiz seq, vtRNA1-2 knockout, bio rep 1 Genewiz seq, vtRNA1-2 k…
- GSM9817864 Genewiz seq, vtRNA1-2 knockout, bio rep 2 Genewiz seq, vtRNA1-2 k…
- GSM9817865 Genewiz seq, vtRNA1-2 knockout, bio rep 3 Genewiz seq, vtRNA1-2 k…
- GSM9817866 Genewiz seq, vtRNA1-3 knockout, bio rep 1 Genewiz seq, vtRNA1-3 k…
- GSM9817867 Genewiz seq, vtRNA1-3 knockout, bio rep 2 Genewiz seq, vtRNA1-3 k…
- GSM9817868 Genewiz seq, vtRNA1-3 knockout, bio rep 3 Genewiz seq, vtRNA1-3 k…
- 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
- GSE266017 Effect of DHX29 depletion on mRNA stability in HEK293T cells 18 samples shares hek293t
- GSE294574 Transcriptomic profiling of irradiated HEK293T and NHLF cells to assess cell-type specific responses to γ-ray exposure 12 samples shares hek293t
- GSE226482 Single cell RNA sequencing of spinal motor neurons and interneurons differentiated from isogenic FUS and TARDBP human induced pluripotent stem cell lines harbouring ALS-causative mutations 1415 samples shares lines
- GSE226054 Comprehensive mRNA-sequencing-based characterization of three HEK-293 cell lines during an rAAV production process for Gene Therapy Applications 120 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.