Splicing regulatory network of master regulator RNA Binding Protein Multiple Splicing (RBPMS) in human Embryonic stem cell derived Vascular Smooth Muscle Cells.
RNA-seq (gene expression) · human · 21 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
- 21 samples: 21 samples, each with a distinct title — no replicated groupsGroups 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
- RNA binding protein with multiple splicing (RBPMS) promotes contractile phenotype splicing in human embryonic stem cell-derived vascular smooth muscle cellsCardiovascular research · 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 GSE153614_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 PRJNA643486 and SRA study SRP269508. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 21 sample titles: 21 distinct titles with little repetition. 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.
- GSM4648134 AJ1: Vec C-1 NC2 VSMC NO DOX
- GSM4648135 AJ2: Vec C-1 NC2 VSMC LOW
- GSM4648136 AJ3: Vec C-1 NC2 VSMC HIGH
- GSM4648137 AJ4: Vec C6-1 NC2 VSMC NO DOX
- GSM4648138 AJ5: Vec C6-1 NC2 VSMC LOW
- GSM4648139 AJ6: Vec C6-1 NC2 VSMC HIGH
- GSM4648140 AJ25: VEC C6-1 NC P8->VSMC SD-4-1-19 -DOX 18-1-19 unsort
- GSM4648141 AJ26: VEC C6-1 NC P8->VSMC SD-4-1-19 +DOX 0.2 5-1-19 FACS GFP LOW 18-1-19
- GSM4648142 AJ27: VEC C6-1 NC P8->VSMC SD-4-1-19 +DOX 0.2 5-1-19 FACS GFP HI 18-1-19
- GSM4648143 AJ10: RBP A C2 NC2 VSMC NO DOX
- GSM4648144 AJ11: RBP A C2 NC2 VSMC LOW
- GSM4648145 AJ12: RBP A C2 NC2 VSMC HIGH
- GSM4648146 AJ13: RBP A C2 NC4 VSMC NO DOX
- GSM4648147 AJ14: RBP A C2 NC4 VSMC LOW
- GSM4648148 AJ15: RBP A C2 NC4 VSMC HIGH
- GSM4648149 AJ16: RBP A C4 NC1 VSMC NO DOX
- GSM4648150 AJ17: RBP A C4 NC1 VSMC LOW
- GSM4648151 AJ18: RBP A C4 NC1 VSMC HIGH
- GSM4648152 AJ19: RBP A C4 NC3 VSMC NO DOX
- GSM4648153 AJ20: RBP A C4 NC3 VSMC LOW
- GSM4648154 AJ21: RBP A C4 NC3 VSMC HIGH
- GSE314625 WSTF deficiency reprograms regulatory networks by linking locus‑specific chromatin remodeling to altered isoform expression and misdirected signaling [mRNA-seq] 18 samples shares regulatory, regulator, network
- GSE260657 A smooth muscle cell gene-regulatory network critical for the development of advanced-stage and symptomatic atherosclerosis [human] 15 samples shares regulatory, regulator, network
- GSE234727 Inorganic Ions Activate Lineage-Specific Gene Regulatory Networks to Drive Stem Cells Differentiation 15 samples shares regulatory, regulator, network
- GSE291384 Multiplex base editing of BCL11A regulatory elements to treat sickle cell disease 12 samples shares regulatory, regulator, multiple
- GSE299831 KOLF2.1J iTF-Microglia: A standardized platform to study microglial transcriptional regulatory networks in CNS disease [RNA-seq] 12 samples shares regulatory, regulator, network
- GSE260910 Whole transcriptomic landscape and regulatory network of High-Altitude Pulmonary Edema 12 samples shares regulatory, regulator, network
- GSE327727 D-SPIN constructs regulatory network models from scRNA-seq revealing organizing principles of perturbation response 194 samples shares regulatory, regulator, network
- GSE299850 KOLF2.1J iTF-Microglia: A standardized platform to study microglial transcriptional regulatory networks in CNS disease 36 samples shares regulatory, regulator, network
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.