Corpus 1,285 assessed · 1,186 scored · 647 reproduced ≥75 · 174 flagged ·∅ 73.9/100
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GSE66351

GEO first seen 2022

DNA methylation profiling of neuron and glia for the dissection of cell type, age and Alzheimer’s disease-specific changes in the human brain

Organism
Homo sapiens
Samples
190
Type
Methylation profiling by arr...
Submitted
2015-02-26

Alzheimer’s disease (AD) is a progressive brain disorder caused by altered neuronal and glial cell functions. Illumina 450K profiling of cells (nuclei) sorted from post- mortem human brains allowed us assigning cell type- specific epigenetic changes to aging and AD progression. Among a few thousand cell type-specific differentially methylated CpGs (DMCGs) changing with age we identify prominent clusters in the AD genes, CLU, SYNJ2, ANK1 and MCF2L. A distinct set of age independent AD-specific DM...

Provenance — who produced it, who reused it

Linked to 10 papers in the literature. Roles are inferred factual signals (who deposited the data vs who reused it), with counts — never a judgement about any author.

Deposited / produced by
Gilles GasparoniSebastian BultmannPavlo LutsikTheo KrausJulia VlcekVanessa DietingerMartina SteinmaurerMatthias RiemenschneiderHans A KretzschmarArmin GiehseHeinrich LeonhardtJörn Walter
Reused by

8 further papers cite this accession but reuse could not be confirmed.

Deep data QC

metadata only · no data-level QC for this type

Standardized, field-standard QC computed by touching the data — every metric states how it was obtained

No quantitative QC rubric exists for this data type yet, so it is deliberately left unscored — this is an honest "not applicable", not a poor rating.

QC cost 25 s compute

measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0 · provisional — verify independently