Lethal giant larvae gene family functions as a tumor suppressor in skin epidermis
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 × Control vs 3 × L1L2cKO vs 3 × L1L2p53cKO vs 3 × p53cKOGroups 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 GSE247772_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 PRJNA1040296 and SRA study SRP471886. 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.
- GSM7900583 Control_1 Control
- GSM7900584 Control_2 Control
- GSM7900585 Control_3 Control
- GSM7900586 L1L2cKO_1 L1L2cKO
- GSM7900587 L1L2cKO_2 L1L2cKO
- GSM7900588 L1L2cKO_3 L1L2cKO
- GSM7900589 L1L2p53cKO_1 L1L2p53cKO
- GSM7900590 L1L2p53cKO_2 L1L2p53cKO
- GSM7900591 L1L2p53cKO_3 L1L2p53cKO
- GSM7900592 p53cKO_1 p53cKO
- GSM7900593 p53cKO_2 p53cKO
- GSM7900594 p53cKO_3 p53cKO
- GSE322551 Engineered bacteria as exogenous organelle mimics restore PTEN and p53 tumor suppressor functions for cancer therapy 30 samples shares suppressor, functions
- GSE273727 Transduction of Batf family members provide distinct functions to mouse CD8+ T cells. 12 samples shares functions, family
- GSE271546 The expression order determines the pioneer functions of Ngn3 and NeuroD1 in pancreatic endocrine differentiation -2 447 samples shares functions
- GSE228457 IL-7 mediated immunoregulatory feedback loop promotes dampening of immune effector functions by hypoinflammatory monocytes. 305 samples shares functions
- GSE274100 Systematic identification of Y-chromosome gene functions in mouse spermatogenesis [bulk] 120 samples shares functions
- GSE291610 Splice isoform-perturbation coupled to single cell transcriptome profiling reveals functions of microexons in neurogenesis and autism-linked pathways [snRNA-Seq] 96 samples shares functions
- GSE266938 Deletion of SWI/SNF ATPase activity in hepatocytes of adult liver disrupts circadian gene expression and central liver functions [RNAseq] 82 samples shares functions
- GSE302857 Multi-tier signaling and epigenomic reprogramming drive microglial inflammatory states and functions associated with demyelination [RNA-seq] 81 samples shares functions
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.