Engineering Programmable Material-To-Cell Pathways Via Synthetic Notch Receptors To Spatially Control Cellular Phenotypes In Multi-Cellular Constructs [RNA-seq]
RNA-seq (gene expression) · mouse · 22 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
- 22 samples
- 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
- Engineering programmable material-to-cell pathways via synthetic notch receptors to spatially control differentiation in multicellular constructsNature communications · 2024
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 GSE269373_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 PRJNA1121278 and SRA study SRP512467. Searching any of these in the dataset finder brings you back here.
The sample list for this study is not cached yet. Press Load samples and it will be fetched from NCBI.
+ 22 more — browse all 22 samples with per-sample file links →
- GSE269404 Engineering Programmable Material-To-Cell Pathways Via Synthetic Notch Receptors To Spatially Control Cellular Phenotypes In Multi-Cellular Constructs 30 samples shares material-to-cell, multi-cellular, programmable, engineering, phenotypes, constructs, synthetic, receptors
- GSE269381 Engineering Programmable Material-To-Cell Pathways Via Synthetic Notch Receptors To Spatially Control Cellular Phenotypes In Multi-Cellular Constructs [snRNA-seq] 8 samples shares material-to-cell, multi-cellular, programmable, engineering, phenotypes, constructs, synthetic, receptors
- GSE306439 Synthetic engineering demonstrates that synergy among enhancers involves an increase in transcriptionally productive enhancer-gene contacts [ChIP-Seq] 72 samples shares engineering, synthetic
- GSE265782 Somatic muscle engineering faithfully recapitulates a molecular spectrum of high-risk sarcomas [RNA-Seq] 81 samples shares engineering
- GSE243516 Rational cell fate engineering through chromatin dynamics [RNA-Seq] 46 samples shares engineering
- GSE313869 Impact of Fc engineering on the transcriptional profile of monocytes and interstitial macrophages in the lungs of Hu-FcgR Tg mice after MA30 infection 36 samples shares engineering
- GSE300140 Engineering effector domains of MEF2C and GATA4 enhances cardiac reprogramming 15 samples shares engineering
- GSE294914 Engineering a superactivator of smooth muscle gene expression with the Myocardin condensate forming region [RNA-seq] 15 samples shares engineering
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.