Evidence map›Paper›PMID 38572021›Full record

ArticleCurrent research in physiology2024

A new method for isolation and purification of fusion-competent inhibitory synaptic vesicles.

Nisha Gopal, Jeremy Leitz, Chuchu Wang, Luis Esquivies, Richard A Pfuetzner, Axel T Brunger

Open access · goldAbstract read
In one paragraph

Article in Current research in physiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.8field-weighted citation impact, top 32% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

6 authors at 1 institution in 1 country.

Nisha GopalDepartment of Molecular and Cellular Physiology, Stanford University, Stanford, USA.
Jeremy LeitzDepartment of Molecular and Cellular Physiology, Stanford University, Stanford, USA.
Chuchu WangDepartment of Molecular and Cellular Physiology, Stanford University, Stanford, USA.
Luis EsquiviesDepartment of Molecular and Cellular Physiology, Stanford University, Stanford, USA.
Richard A PfuetznerDepartment of Molecular and Cellular Physiology, Stanford University, Stanford, USA.
Axel T BrungerDepartment of Molecular and Cellular Physiology, Stanford University, Stanford, USA.
Howard Hughes Medical Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Synaptic vesicles specific to inhibitory GABA-releasing neurons are critical for regulating neuronal excitability. To study the specific molecular composition, architecture, and function of inhibitory synaptic vesicles, we have developed a new method to isolate and purify GABA synaptic vesicles from mouse brains. GABA synaptic vesicles were immunoisolated from mouse brain tissue using an engineered fragment antigen-binding region (Fab) against the vesicular GABA transporter (vGAT) and purified. Western blot analysis confirmed that the GABA synaptic vesicles were specifically enriched for vGAT and largely depleted of contaminants from other synaptic vesicle types, such as vesicular glutamate transporter (vGLUT1), and other cellular organelles. This degree of purity was achieved despite the relatively low abundance of vGAT vesicles compared to the total synaptic vesicle pool in mammalian brains. Cryo-electron microscopy images of these isolated GABA synaptic vesicles revealed intact morphology with circular shape and protruding proteinaceous densities. The GABA synaptic vesicles are functional, as assessed by a hybrid (

Indexed as

Fragment antigen-binding region (Fab)Fusion assaySynaptic vesicle isolationVesicular GABA transportervGAT

Identifiers

PMID38572021
PMCPMC10990708
OpenAlexW4392103508

What OpenQuestion holds

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LicenceCC BY
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.