TEAD switches interacting partners along neural progenitor lineage progression to execute distinct functions
RNA-seq (gene expression) · mouse · 23 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
- 23 samples: 9 conditions, mostly in duplicateGroups 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
- TEAD switches interacting partners along neural progenitor lineage progression to execute distinct functionsGenes & development · 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 GSE285025_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 PRJNA1201061 and SRA study SRP552923. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 22 samples.
How we read this: 9 replicated groups read from 23 sample titles; they account for 22 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.
- GSM8695203 E12.5_MGE_1 E12.5_MGE
- GSM8695204 E12.5_MGE_2 E12.5_MGE
- GSM8695205 E15.5_MGE_1 E15.5_MGE
- GSM8695206 E15.5_MGE_2 E15.5_MGE
- GSM8695207 E15.5_MGE_3 E15.5_MGE
- GSM8695208 E14.5_MGE_TEAD_CONTROL_1_Ln1 E14.5_MGE_TEAD_CONTROL_…
- GSM8695209 E14.5_MGE_TEAD_CONTROL_1_Ln2 E14.5_MGE_TEAD_CONTROL_…
- GSM8695210 E14.5_MGE_TEAD_CONTROL_1_Ln3 E14.5_MGE_TEAD_CONTROL_…
- GSM8695211 E14.5_MGE_TEAD_CONTROL_2 E14.5_MGE_TEAD_CONTROL
- GSM8695212 E14.5_MGE_TEAD_CONTROL_3 E14.5_MGE_TEAD_CONTROL
- GSM8695213 E14.5_MGE_TEAD_DKO_1_Ln1 E14.5_MGE_TEAD_DKO_1_Ln
- GSM8695214 E14.5_MGE_TEAD_DKO_1_Ln2 E14.5_MGE_TEAD_DKO_1_Ln
- GSM8695215 E14.5_MGE_TEAD_DKO_1_Ln3 E14.5_MGE_TEAD_DKO_1_Ln
- GSM8695216 E14.5_MGE_TEAD_DKO_2 E14.5_MGE_TEAD_DKO
- GSM8695217 E14.5_MGE_TEAD_DKO_3 E14.5_MGE_TEAD_DKO
- GSM8695218 E14.5_MGE_YAP_TAZ_CONTROL_1_Ln1 E14.5_MGE_YAP_TAZ_CONTR…
- GSM8695219 E14.5_MGE_YAP_TAZ_CONTROL_1_Ln2 E14.5_MGE_YAP_TAZ_CONTR…
- GSM8695220 E14.5_MGE_YAP_TAZ_CONTROL_2_Ln1 E14.5_MGE_YAP_TAZ_CONTR…
- GSM8695221 E14.5_MGE_YAP_TAZ_CONTROL_2_Ln2 E14.5_MGE_YAP_TAZ_CONTR…
- GSM8695222 E14.5_MGE_YAP_TAZ_CONTROL_3
- GSM8695223 E14.5_MGE_YAP_TAZ_KO_1 E14.5_MGE_YAP_TAZ_KO
- GSM8695224 E14.5_MGE_YAP_TAZ_KO_2 E14.5_MGE_YAP_TAZ_KO
- GSM8695225 E14.5_MGE_YAP_TAZ_KO_3 E14.5_MGE_YAP_TAZ_KO
- GSE327470 Temporal Uncoupling of Radial Glial Progenitor Cell Lineage Progression in Self-organizing Organoid System 292 samples shares progression, progenitor
- GSE327468 Temporal Uncoupling of Radial Glial Progenitor Cell Lineage Progression in Self-organizing Organoid System – MADM-CloneSeq 287 samples shares progression, progenitor
- GSE310548 Distinct contributions of Etv2+ and Flk1+ progenitors to endothelial, hematopoietic, and cardiac lineages [RNA-seq] 21 samples shares progenitor, distinct
- GSE283086 Distinct transcriptomic and epigenomic responses of mature oligodendrocytes during disease progression in a mouse model of multiple sclerosis [RNA-seq] 15 samples shares progression, distinct
- GSE272588 Multipotent progenitors with distinct origins, clonal lineage fates, transcriptomes, and surface markers yield two hematopoietic trees 605 samples shares progenitor, distinct
- GSE305413 GM-CSF production by immune cells in steady state and autoimmune neuroinflammation mapped using fate-reporting mice 12 samples shares tead
- GSE274337 Cell-type-specific requirement for TYK2 in murine immune cells under steady state and challenged conditions 12 samples shares tead
- GSE241770 ACSS2 mediates an epigenetic pathway to regulate maternal Beta-cell adaptation and progression of gestational diabetes (scRNA-Seq) 7899 samples shares progression
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.