Osteopontin drives neuroinflammation and cell loss in MAPT-N279K frontotemporal dementia patient neurons
Single-nucleus RNA-seq · human · 21 samples
- What it is
- Single-nucleus RNA-seqGene activity measured in individual nuclei (used when whole cells are hard to isolate, for example from frozen tissue). Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
- Organism
- Homo sapiens (human)
- Samples
- 21 samples: 6 conditions, mostly with about 4 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.
- Paper
- Osteopontin drives neuroinflammation and cell loss in MAPT-N279K frontotemporal dementia patient neuronsCell stem cell · 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 GSE230519_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.
Also filed as BioProject PRJNA961689 and SRA study SRP434381. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 21 samples.
How we read this: 6 replicated groups read from 21 sample titles; they account for 21 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.
- GSM7225754 Postmortem human brain, FTD, HO001 Postmortem human brain,…
- GSM7225755 Postmortem human brain, FTD, GO004 Postmortem human brain,…
- GSM7225756 Postmortem human brain, FTD, GO006 Postmortem human brain,…
- GSM7225757 Postmortem human brain, FTD, HO008 Postmortem human brain,…
- GSM7225758 Postmortem human brain, FTD, HO010 Postmortem human brain,…
- GSM7225759 Postmortem human brain, FTD, HO012 Postmortem human brain,…
- GSM7225760 Postmortem human brain, Ctrl , HO002 Postmortem human brain,…
- GSM7225761 Postmortem human brain, Ctrl , GO003 Postmortem human brain,…
- GSM7225762 Postmortem human brain, Ctrl , GO005 Postmortem human brain,…
- GSM7225763 Postmortem human brain, Ctrl , HO007 Postmortem human brain,…
- GSM7225764 Postmortem human brain, Ctrl , HO009 Postmortem human brain,…
- GSM7225765 Postmortem human brain, Ctrl , HO011 Postmortem human brain,…
- GSM7225766 Postmortem human brain, Ctrl , HO013 Postmortem human brain,…
- GSM7225767 iPSC-derived neural graft, Ctrl , GF010 iPSC-derived neural gra…
- GSM7225768 iPSC-derived neural graft, Ctrl , GF012 iPSC-derived neural gra…
- GSM7225769 iPSC-derived neural graft, Ctrl , GF014 iPSC-derived neural gra…
- GSM7225770 iPSC-derived neural graft, Ctrl , GF016 iPSC-derived neural gra…
- GSM7225771 iPSC-derived neural graft, FTD, GF011 iPSC-derived neural gra…
- GSM7225772 iPSC-derived neural graft, FTD, GF013 iPSC-derived neural gra…
- GSM7225773 iPSC-derived neural graft, FTD, GF015 iPSC-derived neural gra…
- GSM7225774 iPSC-derived neural graft, FTD, GF017 iPSC-derived neural gra…
- GSE230450 Osteopontin drives neuroinflammation and cell loss in MAPT-N279K frontotemporal dementia patient neurons 22 samples shares mapt-n279k, neuroinflammation, frontotemporal, osteopontin, dementia, neurons, drives, loss
- GSE230520 Osteopontin drives neuroinflammation and cell loss in MAPT-N279K frontotemporal dementia patient neurons 61 samples shares mapt-n279k, neuroinflammation, frontotemporal, osteopontin, dementia, neurons, drives, loss
- GSE153960 Truncated stathmin-2 is a marker of TDP-43 pathology in frontotemporal dementia 1838 samples shares frontotemporal, dementia
- GSE261807 Repetitive head impacts induce neuroinflammation and neuronal loss in young athletes 28 samples shares neuroinflammation, loss
- GSE51684 Targeted degradation of sense and antisense C9orf72 RNA foci as therapy for amyotrophic lateral sclerosis and frontotemporal dementia (Multiplex Analysis of PolyA-linked Sequences) 24 samples shares frontotemporal, dementia
- GSE300389 High-fidelity and differential nonsense suppression in live cells and a frontotemporal dementia allele with human transfer RNAs 15 samples shares frontotemporal, dementia
- GSE273025 Patient-derived Induced Pluripotent Stem Cells with a C9orf72 Expansion as a Model to Study Frontotemporal Dementia Pathologies 6 samples shares frontotemporal, dementia
- GSE308973 Localized PD-1 CAR T therapy reprograms neuroinflammation - human CSF data. 88 samples shares neuroinflammation
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.