Single-Nucleus RNA-Seq Is Not Suitable for Detection of Microglial Activation Genes in Humans
Why is this work in the frame?
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
No Canadian affiliation. An affiliation-only frame — the usual design — would never have seen this work. It is one of the works that make the case for inverting the frame.
Machine scores (provisional)
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
- Teacher spread
- 0.189 · how far apart the two teachers sit on this one work
- Validation status
score_only:v0-immature-baseline· verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it
Abstract
Single-nucleus RNA sequencing (snRNA-seq) is used as an alternative to single-cell RNA-seq, as it allows transcriptomic profiling of frozen tissue. However, it is unclear whether snRNA-seq is able to detect cellular state in human tissue. Indeed, snRNA-seq analyses of human brain samples have failed to detect a consistent microglial activation signature in Alzheimer's disease. Our comparison of microglia from single cells and single nuclei of four human subjects reveals that, although most genes show similar relative abundances in cells and nuclei, a small population of genes (∼1%) is depleted in nuclei compared to whole cells. This population is enriched for genes previously implicated in microglial activation, including APOE, CST3, SPP1, and CD74, comprising 18% of previously identified microglial-disease-associated genes. Given the low sensitivity of snRNA-seq to detect many activation genes, we conclude that snRNA-seq is not suited for detecting cellular activation in microglia in human disease.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
The record
- Venue
- Cell Reports
- Topic
- Neuroinflammation and Neurodegeneration Mechanisms
- Field
- Neuroscience
- Canadian institutions
- —
- Funders
- Fondation pour la Recherche sur AlzheimerUK Dementia Research InstituteIpsenVlaamse regeringNIHR Imperial Biomedical Research CentreVlaams Instituut voor BiotechnologieKU LeuvenEuropean CommissionImperial College LondonMedical Research CouncilBiogenCelgeneGlaxoSmithKlineRocheNational Institute for Health and Care ResearchAlzheimer SocietyFonds Wetenschappelijk OnderzoekNovartisEuropean Resuscitation CouncilAlzheimer's Association
- Keywords
- RNA-SeqNucleusGeneRNACell biologyComputational biologyBiologyTranscriptomeGene expressionNeuroscienceGenetics
- Has abstract in OpenAlex
- yes