Co-deficiency of the BLM and RECQL1 Helicases Causes Synthetic Lethality, Pronounced Replication Stress, and Loss of Chromatid Cohesion
RNA-seq (gene expression) · mouse · 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
- Mus musculus (mouse)
- Samples
- 12 samples: 3 × MEF WT vs 3 × MEF Blm -/ vs 3 × MEF Recql -/ vs 3 × MEF Blm -/- Recql -/Groups 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.
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 GSE284360_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 PRJNA1198880 and SRA study SRP551729. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 12 samples.
How we read this: 4 replicated groups read from 12 sample titles; they account for 12 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.
- GSM8682816 MEF WT Rep 1 MEF WT
- GSM8682817 MEF WT Rep 2 MEF WT
- GSM8682818 MEF WT Rep 3 MEF WT
- GSM8682819 MEF Blm -/- Rep1 MEF Blm -/
- GSM8682820 MEF Blm -/- Rep2 MEF Blm -/
- GSM8682821 MEF Blm -/- Rep3 MEF Blm -/
- GSM8682822 MEF Recql -/- Rep1 MEF Recql -/
- GSM8682823 MEF Recql -/- Rep2 MEF Recql -/
- GSM8682824 MEF Recql -/- Rep3 MEF Recql -/
- GSM8682825 MEF Blm -/- Recql -/- Rep1 MEF Blm -/- Recql -/
- GSM8682826 MEF Blm -/- Recql -/- Rep2 MEF Blm -/- Recql -/
- GSM8682827 MEF Blm -/- Recql -/- Rep3 MEF Blm -/- Recql -/
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- GSE231430 In vivo DNA replication dynamics unveil aging-dependent replication stress 40 samples shares replication
- GSE324524 Identification of host lncRNAs that impact Venezuelan equine encephalitis virus replication 39 samples shares replication
- GSE324479 Identification of host lncRNAs that impact Venezuelan equine encephalitis virus replication 36 samples shares replication
- GSE271425 Type I IFN signaling in the absence of IRGM1 promotes M. tuberculosis replication in immune cells by suppressing T cell responses 25 samples shares replication
- GSE270802 Diabetes induces exacerbated SARS-CoV-2 replication partly associated with ineffective pulmonary interferon responses, delayed cell-mediated immunity, and disruption of leptin receptor signaling 24 samples shares replication
- GSE254993 The pulmonary inflammatory microenvironment at the time of exposure governs innate control of SARS-CoV-2 replication 23 samples shares replication
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.