An RNA-Seq transcriptome and splicing database of neurons, glia, and vascular cells of the cerebral cortex
Purpose: To better understand the function of the various cell types of the brain, we prospectively purified neurons, astrocytes, oligodendrocyte precursor cells, newly formed oligodendrocytes, myelinating oligodendrocytes, microglia, endothelial cells, and pericytes from mouse cerebral cortex. We generated a transcriptome database for these 8 cell types by RNA sequencing and used a highly sensitive algorithm to detect alternative splicing events in each gene. Our analysis identified thousands o...
Provenance — who produced it, who reused it
Linked to 35 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.
- Brain Cell Type Specific Gene Expression and Co-expression Netwo... 2018 · 547 cites
- Laser capture microscopy coupled with Smart-seq2 for precise spa... 2016 · 339 cites
- A comprehensive library of human transcription factors for cell... 2020 · 246 cites
- Genome-Nuclear Lamina Interactions Regulate Cardiac Stem Cell Li... 2017 · 236 cites
- BIN1 favors the spreading of Tau via extracellular vesicles 2019 · 174 cites
- A myelin-related transcriptomic profile is shared by Pitt–Hopkin... 2020 · 152 cites
- Antibody cross-reactivity accounts for widespread appearance of... 2019 · 113 cites
- Single-cell transcriptomic reveals molecular diversity and devel... 2021 · 106 cites
- Gene expression profiling reveals a conserved microglia signatur... 2019 · 96 cites
- Glutamate spillover in C. elegans triggers repetitive behavior t... 2019 · 84 cites
- Genome-Wide Analysis of Differential Gene Expression and Splicin... 2019 · 78 cites
- A Microglial Signature Directing Human Aging and Neurodegenerati... 2019 · 74 cites
23 further papers cite this accession but reuse could not be confirmed.
Deep data QC
100/100 · AStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
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