Whole transcriptome analysis of brain hippocampal tissue from SAMP8 mice and rat primary neurons treated with the Alzheimer's disease drug candidates CMS121 and J147
Alzheimer's disease (AD) drug discovery has rarely been addressed in the context of aging even though sporadic AD accounts for 99% of the cases. Phenotypic screens based upon old age-associated brain toxicities were used to develop the potent AD drug candidates CMS121 and J147. The aim of this project was to investigate whether these two different AD drug candidates prevented the progression of dementia in SAMP8 mice when administered at advanced stages of disease, and whether they shared common...
Provenance — who produced it, who reused it
Linked to 1 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.
- Elevating acetyl-CoA levels reduces aspects of brain aging 2019 · 140 cites
Deep data QC
100/100 · AStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
Multi-species bulk RNA-seq (Mus musculus and Rattus norvegicus) via HiSeq 2500 with 30.9 billion bases across 607 million reads from 32 FASTQ files—enables cross-species comparative transcriptomics and identification of conserved gene regulatory networks. Exceptional quality (98.1% Q20, 96.1% Q30) supports robust expression quantification. Suitable for mammalian evolution and disease-model comparison.
The A grade is a transparent weighted average. Each metric below scored from 0–100% against the published bulk-RNA-seq thresholds, weighted by its importance; nothing is hidden or subjective.
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0