RNA-sequencing reveals predominance of THRA splicing isoform 2 in developing human brain
RNA-seq (gene expression) · human · 16 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
- 16 samples: 6 × 043 vs 6 × 250 vs 4 × 01BGroups 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 Sequencing Reveals a Strong Predominance of THRA Splicing Isoform 2 in the Developing and Adult Human BrainInternational journal of molecular sciences · 2024
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 GSE250144_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 PRJNA1052096 and SRA study SRP477852. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 16 samples.
How we read this: 3 replicated groups read from 16 sample titles; they account for 16 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.
- GSM7974654 01B_13 01B
- GSM7974655 01B_33 01B
- GSM7974656 043_14 043
- GSM7974657 043_33 043
- GSM7974658 043_3 043
- GSM7974659 250_14 250
- GSM7974660 250_34 250
- GSM7974661 250_4 250
- GSM7974662 01B_14 01B
- GSM7974663 01B_34 01B
- GSM7974664 043_15 043
- GSM7974665 043_34 043
- GSM7974666 043_4 043
- GSM7974667 250_15 250
- GSM7974668 250_35 250
- GSM7974669 250_5 250
- GSE224153 RNA-sequencing reveals strong predominance of THRA splicing isoform 2 in the developing and adult human brain 24 samples shares thra, rna-sequencing, predominance, developing, splicing, isoform, brain
- GSE301886 Trisomy 21 drives ADARB1 overexpression and premature RNA recoding in the developing fetal brain 94 samples shares developing, brain
- GSE286147 Two parallel neural ectoderm populations contribute to the developing brain [RNA-seq] 18 samples shares developing, brain
- GSE300932 CD4+ T cells in the developing human brain shape angiogenesis and neurogenesis 16 samples shares developing, brain
- GSE271530 Accurate isoform quantification by joint short- and long-read RNA-sequencing 12 samples shares rna-sequencing, isoform
- GSE286148 Two parallel neural ectoderm populations contribute to the developing brain [scRNA-seq] 6 samples shares developing, brain
- GSE324347 R-loop landscapes in the developing human brain are linked to neural differentiation and cell type-specific transcription [RNA-seq] 6 samples shares developing, brain
- GSE286214 Two parallel neural ectoderm populations contribute to the developing brain 54 samples shares developing, brain
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.