pTDP-43 levels correlate with cell type specific molecular alterations in the prefrontal cortex of C9orf72 ALS/FTD patients
ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 52 samples
- What it is
- ChIP-seq / ATAC-seq (genome binding and open chromatin)Where proteins bind the genome, or which regions are open and active.
- Organism
- Homo sapiens (human)
- Samples
- 52 samples: 52 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
- pTDP-43 levels correlate with cell type specific molecular alterations in the prefrontal cortex of C9orf72 ALS/FTD patientsbioRxiv : the preprint server for biology · 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 GSE212630_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: Look for peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.
Also filed as BioProject PRJNA876286 and SRA study SRP395419. 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 52 sample titles: 52 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.
- GSM8735053 Control-1, snRNA
- GSM8735054 Control-2, snRNA
- GSM8735055 Control-3, snRNA
- GSM8735056 Control-4, snRNA
- GSM8735057 Control-5, snRNA
- GSM8735058 Control-6, snRNA
- GSM8735059 Control-7, snRNA
- GSM8735060 TDPneg-1, snRNA
- GSM8735061 TDPneg-2, snRNA
- GSM8735062 TDPneg-3, snRNA
- GSM8735063 TDPneg-4, snRNA
- GSM8735064 TDPneg-5, snRNA
- GSM8735065 TDPneg-6, snRNA
- GSM8735066 TDPmed-1, snRNA
- GSM8735067 TDPmed-2, snRNA
- GSM8735068 TDPmed-3, snRNA
- GSM8735069 TDPmed-4, snRNA
- GSM8735070 TDPmed-5, snRNA
- GSM8735071 TDPhigh-1, snRNA
- GSM8735072 TDPhigh-2, snRNA
- GSM8735073 TDPhigh-3, snRNA
- GSM8735074 TDPhigh-4, snRNA
- GSM8735075 TDPhigh-5, snRNA
- GSM8735076 TDPhigh-6, snRNA
- GSM8735077 TDPhigh-7, snRNA
- GSM8735078 TDPhigh-8, snRNA
- GSM8735079 Control-1, snATAC
- GSM8735080 Control-2, snATAC
- GSM8735081 Control-3, snATAC
- GSM8735082 Control-4, snATAC
- GSM8735083 Control-5, snATAC
- GSM8735084 Control-6, snATAC
- GSM8735085 Control-7, snATAC
- GSM8735086 TDPneg-1, snATAC
- GSM8735087 TDPneg-2, snATAC
- GSM8735088 TDPneg-3, snATAC
- GSM8735089 TDPneg-4, snATAC
- GSM8735090 TDPneg-5, snATAC
- GSM8735091 TDPneg-6, snATAC
- GSM8735092 TDPmed-1, snATAC
+ 12 more — browse all 52 samples with per-sample file links →
- GSE263733 Single-cell transcriptome analysis reveals subtype-specific clonal evolution and microenvironmental changes in liver metastasis of pancreatic adenocarcinoma and their clinical implications 218 samples shares als, specific
- GSE237876 Deciphering metastatic route-specific signals and their microenvironment interactions in peritoneal metastasis of gastric cancer 66 samples shares als, specific
- GSE282760 Epigenomic manipulation reveals the relationship between locus specific chromatin dynamics and gene expression [ChIP-seq] 36 samples shares als, specific
- GSE319969 Spatial and Bulk Transcriptomic Profiling Defines the Molecular Evolution of Cutaneous Squamous Cell Carcinoma and Reveals Stage-Specific Biomarkers of Clinical Relevance [RNA-Seq] 24 samples shares als, specific
- GSE247455 Single-nucleus chromatin and gene expression profiling across hundreds of skeletal muscle samples reveals context-specific regulation 8 samples shares als, specific
- GSE327101 Single-Cell Multimodal Atlas Reveals Regulatory Programs in the Human Brain 220 samples shares als
- GSE233321 Single-cell map of the healthy human immune system across the lifespan reveals unique infant immune signatures 118 samples shares als
- GSE272082 Single-nucleus multiomics reveals the regulatory programs in three brain regions of sporadic early-onset Alzheimer's Disease 42 samples shares als
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.