Development of MAPT S305 mutation models exhibiting elevated 4R tau expression, resulting in altered neuronal and astrocytic function [Targeted MAPT ISO-seq]
RNA-seq (gene expression) · human · 73 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
- 73 samples: 73 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.
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 GSE279321_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 PRJNA1171850 and SRA study SRP537988. 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 73 sample titles: 73 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.
- GSM8567265 300.12_NWBB7_4w
- GSM8567266 300.12-NW1B10_4w
- GSM8567267 300.12_NW1C7_4w
- GSM8567268 300.12_NH1E7_4w
- GSM8567269 300.12_HBE10_4w
- GSM8567270 300.12_HAE11_4w
- GSM8567271 300.12_HCB8_4w
- GSM8567272 300.12_NWBB7_Astro
- GSM8567273 300.12_NWBB7_6w
- GSM8567274 300.12-NW1B10_6w
- GSM8567275 300.12_NW1C7_6w
- GSM8567276 300.12_NH1E7_6w
- GSM8567277 300.12_HBE10_6w
- GSM8567278 300.12_HAE11_6w
- GSM8567279 300.12_HCB8_6w
- GSM8567280 300.12-NW1B10_Astro
- GSM8567281 300.12_NWBB7_8w
- GSM8567282 300.12-NW1B10_8w
- GSM8567283 300.12_NW1C7_8w
- GSM8567284 300.12_NH1E7_8w
- GSM8567285 300.12_HBE10_8w
- GSM8567286 300.12_HAE11_8w
- GSM8567287 300.12_HCB8_8w
- GSM8567288 300.12_NW1C7_Astro
- GSM8567289 300.12_NH1E7_Astro
- GSM8567290 300.12_HBE10_Astro
- GSM8567291 300.12_HAE11_Astro
- GSM8567292 GP1.1_SH1G8_Astro
- GSM8567293 GP1.1_SW1D8_Astro
- GSM8567294 GP1.1_SW1B4_Astro
- GSM8567295 GP1.1_WAC11_Astro
- GSM8567296 F13505_NEA11_8w
- GSM8567297 F13505_S2A3_8w
- GSM8567298 GP1.1_SH1G8_8w
- GSM8567299 GP1.1_SW1D8_8w
- GSM8567300 GP1.1_SW1B4_8w
- GSM8567301 GP1.1_WAC11_8w
- GSM8567302 F13505_NEA11_6w
- GSM8567303 F13505_S2A3_6w
- GSM8567304 GP1.1_SH1G8_6w
+ 33 more — browse all 73 samples with per-sample file links →
- GSE279322 Development of MAPT S305 mutation models exhibiting elevated 4R tau expression, resulting in altered neuronal and astrocytic function 156 samples shares mapt, s305, exhibiting, astrocytic, resulting, mutation, elevated, neuronal
- GSE260517 Development of MAPT S305 mutation models exhibiting elevated 4R tau expression, resulting in altered neuronal and astrocytic function [bulkRNA-seq] 83 samples shares mapt, s305, exhibiting, astrocytic, resulting, mutation, elevated, neuronal
- GSE324430 Promoter mutagenesis and a massively parallel reporter screen of the MAPT locus identifies cis-regulatory elements and genetic variation effects [RNA-seq] 88 samples shares mapt
- GSE230450 Osteopontin drives neuroinflammation and cell loss in MAPT-N279K frontotemporal dementia patient neurons 22 samples shares mapt
- GSE230519 Osteopontin drives neuroinflammation and cell loss in MAPT-N279K frontotemporal dementia patient neurons 21 samples shares mapt
- GSE250316 Splicing factor PTBP1 promotes hepatocarcinogenesis via oncogenic splice-switching of MAPT 6 samples shares mapt
- GSE325670 Promoter mutagenesis and a massively parallel reporter screen of the MAPT locus identifies cis-regulatory elements and genetic variation effects 140 samples shares mapt
- GSE230520 Osteopontin drives neuroinflammation and cell loss in MAPT-N279K frontotemporal dementia patient neurons 61 samples shares mapt
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.