Exploring the Dynamics and Consequences of Differential Transcript Usage in Cardiomyocyte Fate Specification
RNA-seq (gene expression) · human · 36 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
- 36 samples: 6 conditions, mostly with about 6 replicates eachGroups 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 GSE274653_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 PRJNA1147591 and SRA study SRP526035. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 36 samples.
How we read this: 6 replicated groups read from 36 sample titles; they account for 36 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.
- GSM8454179 naah_line,rep1,d0 naah_line,rep1,d
- GSM8454180 naah_line,rep2,d15 naah_line,rep2,d
- GSM8454181 naah_line,rep1,d30 naah_line,rep1,d
- GSM8454182 naah_line,rep2,d30 naah_line,rep2,d
- GSM8454183 melw_line,rep1,d0 melw_line,rep1,d
- GSM8454184 melw_line,rep2,d0 melw_line,rep2,d
- GSM8454185 melw_line,rep1,d2 melw_line,rep1,d
- GSM8454186 melw_line,rep2,d2 melw_line,rep2,d
- GSM8454187 melw_line,rep1,d4 melw_line,rep1,d
- GSM8454188 melw_line,rep2,d4 melw_line,rep2,d
- GSM8454189 melw_line,rep1,d7 melw_line,rep1,d
- GSM8454190 naah_line,rep2,d0 naah_line,rep2,d
- GSM8454191 melw_line,rep2,d7 melw_line,rep2,d
- GSM8454192 melw_line,rep1,d15 melw_line,rep1,d
- GSM8454193 melw_line,rep2,d15 melw_line,rep2,d
- GSM8454194 melw_line,rep1,d30 melw_line,rep1,d
- GSM8454195 melw_line,rep2,d30 melw_line,rep2,d
- GSM8454196 fem_line,rep1,d0 fem_line,rep1,d
- GSM8454197 fem_line,rep2,d0 fem_line,rep2,d
- GSM8454198 fem_line,rep1,d2 fem_line,rep1,d
- GSM8454199 fem_line,rep2,d2 fem_line,rep2,d
- GSM8454200 fem_line,rep1,d4 fem_line,rep1,d
- GSM8454201 naah_line,rep1,d2 naah_line,rep1,d
- GSM8454202 fem_line,rep2,d4 fem_line,rep2,d
- GSM8454203 fem_line,rep1,d7 fem_line,rep1,d
- GSM8454204 fem_line,rep2,d7 fem_line,rep2,d
- GSM8454205 fem_line,rep1,d15 fem_line,rep1,d
- GSM8454206 fem_line,rep2,d15 fem_line,rep2,d
- GSM8454207 fem_line,rep1,d30 fem_line,rep1,d
- GSM8454208 fem_line,rep2,d30 fem_line,rep2,d
- GSM8454209 naah_line,rep2,d2 naah_line,rep2,d
- GSM8454210 naah_line,rep1,d4 naah_line,rep1,d
- GSM8454211 naah_line,rep2,d4 naah_line,rep2,d
- GSM8454212 naah_line,rep1,d7 naah_line,rep1,d
- GSM8454213 naah_line,rep2,d7 naah_line,rep2,d
- GSM8454214 naah_line,rep1,d15 naah_line,rep1,d
- GSE245323 Dynamics and consequences of widespread transcript isoform changes during neuronal differentiation [RNA-Seq] 24 samples shares consequences, transcript, dynamics
- GSE262419 Informing Hazard Identification and Risk Characterization of Environmental Chemicals by Combining Transcriptomic and Functional Data from Human Induced Pluripotent Stem Cell-Derived Cardiomyocytes 4558 samples shares cardiomyocyte, transcript
- GSE290313 Differentially expressed transcripts associated with depressive symptoms during pregnancy and postpartum 301 samples shares differential, transcript
- GSE278723 Differential Roles of Astrocytic CSF1 in Alzheimer's Disease and Cerebral Amyloid Angiopathy: Insights from Transcriptomic Analysis 248 samples shares differential, transcript
- GSE306664 Revealing differential type I and type II IFN responses in different immune cells in various human diseases by a new IFNs transcriptomic atlas 131 samples shares differential, transcript
- GSE315928 Differential T cell clonal dynamics underlie outcomes to frontline chemoimmunotherapy in advanced gastric cancer [paired scRNA/TCR-seq] 94 samples shares differential, dynamics
- GSE282551 Long-read RNA sequencing reveals synaptic genes with differential isoform usage in schizophrenia [long-read RNAseq ] 30 samples shares differential, usage
- GSE273465 Rapid Human Oogonia-like Cell Specification via Combinatorial Transcription Factor-Directed Differentiation [RNA-seq] 28 samples shares specification, transcript
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.