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This page is alzhub.org's plain-English summary of a published study, not the paper itself. It is generated from the record we hold for this study, sourced and linked below — check the original for the full text and methods.

✓ Peer-reviewed alzhub usefulness score 58 out of 100. Laboratory science

Topic: Brain proteins, microglia and lab models

The major cell classes of the brain differ in their developmental processes, metabolism, signaling, and function. To better understand the functions and interactions of the cell types that comprise these classes, we acutely purified representative populations of 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 eight cell types by RNA sequencing and used a sensitive algorithm to detect alternative splicing events in each cell type. Bioinformatic analyses identified thousands of new cell type-enriched genes and splicing isoforms that will provide novel markers for cell identification, tools for genetic manipulation, and insights into the biology of the brain. For example, our data provide clues as to how neurons and astrocytes differ in their ability to dynamically regulate glycolytic flux and lactate generation attributable to unique splicing of PKM2, the gene encoding the glycolytic enzyme pyruvate kinase. This dataset will provide a powerful new resource for understanding the development and function of the brain. To ensure the widespread distribution of these datasets, we have created a user-friendly website (http://web.stanford.edu/group/barres_lab/brain_rnaseq.html) that provides a platform for analyzing and comparing transciption and alternative splicing profiles for various cell classes in the brain.

Why it matters

Describes a database of gene activity, built with RNA sequencing, for eight cell types purified from mouse cerebral cortex, including neurons, glia and blood vessel cells. The authors made it available on a website as a resource for studying how the brain develops and works.

How this study scored 58/100
How this study's score is builtJournal tier 7 of 10; Journal's citation record 4 of 4; Study design 0 of 12; Strength of evidence left out, no data; Peer-review validation 10 of 10; How recent 1 of 5; Sample size 0 of 4; Effect reported 0 of 3; Studied in people 0 of 3; Randomised / blinded 0 of 2; Times cited 7 of 7; Citations per year 5 of 5; Impact for its field and year 6 of 6; Cited by studies here 0 of 6; Still being cited 4 of 4; Senior author's track record 2 of 4; Institution's track record 3 of 3; Multi-centre collaboration 2 of 3; Indexed in PubMed 2 of 2; Free to read 2 of 2. 55 of the 95 points it could be judged on, which is 58 of 100. Total 58 of 100.55 of the 95 points we could judge = 58 of 100

Published in a peer-reviewed journal. Scored zero for study design, sample size, effect reported, studied in people and randomised / blinded because the record does not state it. We have no data on strength of evidence, so that was left out: it earned 55 of the 95 points we could judge it on, which is 58 out of 100.

ComponentPointsWhy
Journal tier 7 / 10 Tier 3 — peer-reviewed journal (Journal of Neuroscience)
Journal's citation record 4 / 4 Journal of Neuroscience: journal h-index 651 (OpenAlex, 2026-10-29)
Study design 0 / 12 No study design recorded — scores zero, not guessed (not stated in the record — scored 0)
Strength of evidence — / 5 No evidence rating recorded — left out of this score
Peer-review validation 10 / 10 Peer-reviewed. Published as an article in a named peer-reviewed journal.
How recent 1 / 5 2014 — within 20 year(s) of the newest study here
Sample size 0 / 4 Participant count not stated — scores zero (not stated in the record — scored 0)
Effect reported 0 / 3 No effect size reported — scores zero (not stated in the record — scored 0)
Studied in people 0 / 3 Not stated whether this was studied in people — scores zero (not stated in the record — scored 0)
Randomised / blinded 0 / 2 No randomisation or blinding stated — scores zero (not stated in the record — scored 0)
Times cited 7 / 7 Cited 5,024 times (OpenAlex, 2026-10-10)
Citations per year 5 / 5 358.9 citations a year over 14 year(s) since 2014
Impact for its field and year 6 / 6 Cited 94.3× the average for papers of its field and year (OpenAlex FWCI)
Cited by studies here 0 / 6 No other study in this library cites it
Still being cited 4 / 4 Cited 1,080 times in 2024–2026 (2026 still in progress; OpenAlex)
Senior author's track record 2 / 4 Last-listed author Jia Qian Wu: h-index 24 (OpenAlex, whole career)
Institution's track record 3 / 3 Stanford University: institution h-index 2,684 (OpenAlex)
Multi-centre collaboration 2 / 3 OpenAlex lists 8 institution(s) in 2 countries
Indexed in PubMed 2 / 2 Indexed in PubMed (PMID 25186741)
Free to read 2 / 2 Free to read
Points 55 / 95 Scored on 19 of 20 parts. We have no data for the rest, so they are left out: 55 of the 95 points we could judge it on is 58 out of 100.
Total 58 / 100 —

What each of these 20 components measures, and what this score is not →

Read the original

Full text: free to read — OpenAlex lists this copy as free to read: the link above (checked 6 Feb 1020).

Cite this study APA, Vancouver, BibTeX · download .bib or .ris

Built from the record alzhub holds for this paper, not looked up. Volume, issue and page numbers are not held in the record. The record names 17 authors; APA and Vancouver show the first six, BibTeX and the downloads carry all of them. Check the citation against the original before you use it.

APA 7th

Zhang, Y., Chen, K., Sloan, S. A., Bennett, M. L., Scholze, A. R., O’Keeffe, S., et al. (2014). An RNA-Sequencing Transcriptome and Splicing Database of Glia, Neurons, and Vascular Cells of the Cerebral Cortex. Journal of Neuroscience. https://doi.org/10.1523/jneurosci.1860-14.2014

Vancouver

Zhang Y, Chen K, Sloan SA, Bennett ML, Scholze AR, O’Keeffe S, et al. An RNA-Sequencing Transcriptome and Splicing Database of Glia, Neurons, and Vascular Cells of the Cerebral Cortex. Journal of Neuroscience. 2014. doi:10.1523/jneurosci.1860-14.2014. PMID: 25186741.

BibTeX

@article{zhang2014-25186741,
  author  = {Zhang, Ye and Chen, Kenian and Sloan, Steven A. and Bennett, Mariko L. and Scholze, Anja R. and O’Keeffe, Sean and Phatnani, Hemali P. and Guarnieri, Paolo and Caneda, Christine and Ruderisch, Nadine and Deng, Shuyun and Liddelow, Shane A. and Zhang, Chaolin and Daneman, Richard and Maniatis, Tom and Barres, Ben A. and Wu, Jia Qian},
  title   = {{An RNA-Sequencing Transcriptome and Splicing Database of Glia, Neurons, and Vascular Cells of the Cerebral Cortex}},
  journal = {Journal of Neuroscience},
  year    = {2014},
  doi     = {10.1523/jneurosci.1860-14.2014},
  pmid    = {25186741},
  url     = {https://doi.org/10.1523/jneurosci.1860-14.2014}
}

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