Dysregulation of global mRNA splicing in a Huntington’s disease neuronal differentiation cell line model
RNA-seq (gene expression) · human · 27 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
- 27 samples: 9 conditions, mostly in triplicateGroups 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
- Widespread dysregulation of mRNA splicing implicates RNA processing in the development and progression of Huntington's diseaseEBioMedicine · 2023
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 GSE217469_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 PRJNA899069 and SRA study SRP406691. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 27 samples.
How we read this: 9 replicated groups read from 27 sample titles; they account for 27 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.
- GSM6720148 hESC, H9 control, rep1 hESC, H9 control,
- GSM6720149 hESC, H9 control, rep2 hESC, H9 control,
- GSM6720150 hESC, H9 control, rep3 hESC, H9 control,
- GSM6720151 hESC, 45 CAG repeat HTT, rep1 hESC, 45 CAG repeat HTT,
- GSM6720152 hESC, 45 CAG repeat HTT, rep2 hESC, 45 CAG repeat HTT,
- GSM6720153 hESC, 45 CAG repeat HTT, rep3 hESC, 45 CAG repeat HTT,
- GSM6720154 hESC, 81 CAG repeat HTT, rep1 hESC, 81 CAG repeat HTT,
- GSM6720155 hESC, 81 CAG repeat HTT, rep2 hESC, 81 CAG repeat HTT,
- GSM6720156 hESC, 81 CAG repeat HTT, rep3 hESC, 81 CAG repeat HTT,
- GSM6720157 NPC, H9 control, rep1 NPC, H9 control,
- GSM6720158 NPC, H9 control, rep2 NPC, H9 control,
- GSM6720159 NPC, H9 control, rep3 NPC, H9 control,
- GSM6720160 NPC, 45 CAG repeat HTT, rep1 NPC, 45 CAG repeat HTT,
- GSM6720161 NPC, 45 CAG repeat HTT, rep2 NPC, 45 CAG repeat HTT,
- GSM6720162 NPC, 45 CAG repeat HTT, rep3 NPC, 45 CAG repeat HTT,
- GSM6720163 NPC, 81 CAG repeat HTT, rep1 NPC, 81 CAG repeat HTT,
- GSM6720164 NPC, 81 CAG repeat HTT, rep2 NPC, 81 CAG repeat HTT,
- GSM6720165 NPC, 81 CAG repeat HTT, rep3 NPC, 81 CAG repeat HTT,
- GSM6720166 Neuron, H9 control, rep1 Neuron, H9 control,
- GSM6720167 Neuron, H9 control, rep2 Neuron, H9 control,
- GSM6720168 Neuron, H9 control, rep3 Neuron, H9 control,
- GSM6720169 Neuron, 45 CAG repeat HTT, rep1 Neuron, 45 CAG repeat H…
- GSM6720170 Neuron, 45 CAG repeat HTT, rep2 Neuron, 45 CAG repeat H…
- GSM6720171 Neuron, 45 CAG repeat HTT, rep3 Neuron, 45 CAG repeat H…
- GSM6720172 Neuron, 81 CAG repeat HTT, rep1 Neuron, 81 CAG repeat H…
- GSM6720173 Neuron, 81 CAG repeat HTT, rep2 Neuron, 81 CAG repeat H…
- GSM6720174 Neuron, 81 CAG repeat HTT, rep3 Neuron, 81 CAG repeat H…
- GSE341485 Heterogeneous epigenetic variation converges on splicing dysregulation in opioid addiction 24 samples shares dysregulation, splicing
- GSE330179 mRNA-seq analysis of S100A16-mediated alternative splicing in lung adenocarcinoma under oxidative stress 18 samples shares splicing, mrna
- GSE288991 Emerin Dysregulation Drives the Very-Small-Nuclear Phenotype and Lineage Plasticity that Associates with a Clinically Aggressive Subtype of Prostate Cancer 18 samples shares dysregulation, line
- GSE330047 CRISPR/Cas9-MEDIATED PHOX2B FUNCTIONAL KNOCK-OUT IN IMR32 NEUROBLASTOMA CELLS IMPAIRS NEURONAL EXCITABILITY THROUGH DYSREGULATION OF ION CHANNELS GENES 13 samples shares dysregulation, neuronal
- GSE252006 Global impact of unproductive splicing on human gene expression. 179 samples shares splicing, global
- GSE263584 Glycolysis involved in transcription dysregulation through histone lactylation in T-lineage acute lymphoblastic leukemia 12 samples shares dysregulation, line
- GSE307247 Deciphering the cis-regulatory code of alternative splicing in human cell lines 11 samples shares splicing, line
- GSE248132 LARP6 promotes carcinogenic features of triple negative breast cancer cell line by directly modulating alternative splicing of associated genes 10 samples shares splicing, line
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.