Evidence map›Paper›PMID 28135061›Full record

ArticleACS chemical neuroscience2017

Neurocytometry: Flow Cytometric Sorting of Specific Neuronal Populations from Human and Rodent Brain.

David Martin, Jiaxi Xu, Connie Porretta, Charles D Nichols

Open access · greenAbstract read
In one paragraph

Article in ACS chemical neuroscience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 22% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

30 citing papers in PubMed, 1 synthesis or guideline pooled it, 52 citations in OpenAlex.

  1. Pooled it
  2. Treatment of Huntington's disease with a pan-HTT-targeting CRISPR nuclease.Molecular therapy : the journal of the American Society of Gene Therapy · 2026
    Article
  3. Article
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  6. Harnessing Intelligence from Brain Cells In Vitro.The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry · 2025
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Lipidome atlas of the adult human brain.Nature communications · 2024
    Article
  15. Article
  16. Article
  17. Review
  18. Review
  19. Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

David MartinDepartment of Pharmacology and Experimental Therapeutics, LSU Health Sciences Center , New Orleans, Louisiana 70112, United States.
Jiaxi XuDepartment of Pharmacology and Experimental Therapeutics, LSU Health Sciences Center , New Orleans, Louisiana 70112, United States.
Connie PorrettaDepartment of Pharmacology and Experimental Therapeutics, LSU Health Sciences Center , New Orleans, Louisiana 70112, United States.
Charles D NicholsDepartment of Pharmacology and Experimental Therapeutics, LSU Health Sciences Center , New Orleans, Louisiana 70112, United States.ORCID 0000-0002-0615-0646
Louisiana State University Health Sciences Center New Orleans · US

Funding

Translational Research/Education ComponentP60AA009803 · NIAAA · LSU HEALTH SCIENCES CENTER · PI DAVID A WELSH · 2004 to 2026
$42.6M
Vascular and Cardiac Function Core - "Mentoring in Cardiovascular BiologyP30GM106392 · NIGMS · LSU HEALTH SCIENCES CENTER · PI KAPUSTA, DANIEL R · 2014 to 2018
$5.5M
NIAAA NIH HHS P60 AA009803NIGMS NIH HHS P30 GM106392
6 · The paper itself

Abstract

Flow cytometry has the potential to facilitate understanding of the heterogeneous responses of diverse brain cell populations to a variety of stimuli. However, existing methods of applying flow cytometry to brain tissues are each limited in certain ways. They either require genetically labeled cells to achieve separation of specific populations, are not applicable to previously fixed tissue, or are not compatible with downstream mRNA analysis. Here, we describe a group of related methods that overcome many previous limitations and allow robust sorting and downstream molecular analysis of highly enriched populations of specific neuronal and non-neuronal cells from any mammalian brain. We illustrate these techniques, which are compatible with antibodies for both nuclear and non-nuclear epitopes and do not require transgenic animals, with three examples. First, we describe the separation and downstream mRNA analysis of four types of cortical interneurons (somatostatin, parvalbumin, calretinin, and calbindin) from paraformaldehyde-fixed rat brain sections. Second, we demonstrate separation of neurons and non-neurons from zinc-fixed mouse brain cortical sections followed by analysis of enzymatic activity (ACE2 activity) and mRNA expression. Third, we show that routinely fixed post-mortem human brain can be analyzed by isolating parvalbumin-containing neurons from cortical samples that were fixed for periods of up to 8 weeks in formalin. In each case, sorted cell identity was confirmed with mRNA analysis. The neurocytometry methodology described here has the potential to significantly expand studies to analyze the effects of drugs, environmental manipulations, and disease states on the nucleic acid and protein content of specific brain cell populations.

Indexed as

Flow CytometryAngiotensin-Converting Enzyme 2Angiotensin-Converting Enzyme InhibitorsAnimalsBrainCalbindin 2HumansMiceMice, Inbred C57BLMice, TransgenicNerve Tissue ProteinsNeuronsPeptidesPeptidyl-Dipeptidase ARatsRats, Sprague-DawleyACE2 protein, humanAce2 protein, mouseAce2 protein, ratAngiotensin-Converting Enzyme 2Angiotensin-Converting Enzyme InhibitorsCalbindin 2DX600 peptideNerve Tissue ProteinsPeptidesPeptidyl-Dipeptidase ARNA, MessengerSynapsinsbrainFACSflow cytometryinterneuronneurocytometryneuron

Identifiers

PMID28135061
PMCPMC6385603
OpenAlexW2581621059

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.