Evidence map›Paper›PMID 35350315›Full record

ArticleACS omega2022

Detection of Glutamate Encapsulated in Liposomes by Optical Trapping Raman Spectroscopy.

Kyoko Masui, Yasunori Nawa, Shunsuke Tokumitsu, Takahiro Nagano, Makoto Kawarai, Hirokazu Tanaka, Tatsuki Hamamoto, Wataru Minoshima, Tomomi Tani, Satoshi Fujita and 3 more

Open access · goldAbstract read
In one paragraph

Article in ACS omega, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 17% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
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  5. Article
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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

13 authors at 2 institutions in 1 country.

Kyoko MasuiAdvanced Photonics and Biosensing Open Innovation Laboratory, National Institute of Advanced Industrial Science and Technology, 2-1, Yamadaoka, Suita, Osaka 5650871, Japan.ORCID https://orcid.org/0000-0002-5065-3021
Yasunori NawaAdvanced Photonics and Biosensing Open Innovation Laboratory, National Institute of Advanced Industrial Science and Technology, 2-1, Yamadaoka, Suita, Osaka 5650871, Japan.
Shunsuke TokumitsuAdvanced Photonics and Biosensing Open Innovation Laboratory, National Institute of Advanced Industrial Science and Technology, 2-1, Yamadaoka, Suita, Osaka 5650871, Japan.
Takahiro NaganoAdvanced Photonics and Biosensing Open Innovation Laboratory, National Institute of Advanced Industrial Science and Technology, 2-1, Yamadaoka, Suita, Osaka 5650871, Japan.
Makoto KawaraiAdvanced Photonics and Biosensing Open Innovation Laboratory, National Institute of Advanced Industrial Science and Technology, 2-1, Yamadaoka, Suita, Osaka 5650871, Japan.
Hirokazu TanakaAdvanced Photonics and Biosensing Open Innovation Laboratory, National Institute of Advanced Industrial Science and Technology, 2-1, Yamadaoka, Suita, Osaka 5650871, Japan.
Tatsuki HamamotoAdvanced Photonics and Biosensing Open Innovation Laboratory, National Institute of Advanced Industrial Science and Technology, 2-1, Yamadaoka, Suita, Osaka 5650871, Japan.
Wataru MinoshimaAdvanced Photonics and Biosensing Open Innovation Laboratory, National Institute of Advanced Industrial Science and Technology, 2-1, Yamadaoka, Suita, Osaka 5650871, Japan.
Tomomi TaniBiomedical Research Institute, National Institute of Advanced Industrial Science and Technology, 2-1, Yamadaoka, Suita, Osaka 5650871, Japan.
Satoshi FujitaAdvanced Photonics and Biosensing Open Innovation Laboratory, National Institute of Advanced Industrial Science and Technology, 2-1, Yamadaoka, Suita, Osaka 5650871, Japan.
Hidekazu IshitobiAdvanced Photonics and Biosensing Open Innovation Laboratory, National Institute of Advanced Industrial Science and Technology, 2-1, Yamadaoka, Suita, Osaka 5650871, Japan.ORCID https://orcid.org/0000-0002-1145-6850
Chie HosokawaAdvanced Photonics and Biosensing Open Innovation Laboratory, National Institute of Advanced Industrial Science and Technology, 2-1, Yamadaoka, Suita, Osaka 5650871, Japan.ORCID https://orcid.org/0000-0002-0289-4680
Yasushi InouyeAdvanced Photonics and Biosensing Open Innovation Laboratory, National Institute of Advanced Industrial Science and Technology, 2-1, Yamadaoka, Suita, Osaka 5650871, Japan.ORCID https://orcid.org/0000-0001-5118-5146
National Institute of Advanced Industrial Science and Technology · JPOsaka City University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The transmission of neuronal information is propagated through synapses by neurotransmitters released from presynapses to postsynapses. Neurotransmitters released from the presynaptic vesicles activate receptors on the postsynaptic membrane. Glutamate acts as a major excitatory neurotransmitter for synaptic vesicles in the central nervous system. Determining the concentration of glutamate in single synaptic vesicles is essential for understanding the mechanisms of neuronal activation by glutamate in normal brain functions as well as in neurological diseases. However, it is difficult to detect and quantitatively measure the concentration of glutamate in single synaptic vesicles owing to their small size, i.e., ∼40 nm. In this study, to quantitatively evaluate the concentrations of the contents in small membrane-bound vesicles, we developed an optical trapping Raman spectroscopic system that analyzes the Raman spectra of small objects captured using optical trapping. Using artificial liposomes encapsulating glutamate that mimic synaptic vesicles, we investigated whether spontaneous Raman scattered light of glutamate can be detected from vesicles trapped at the focus using optical forces. A 575 nm laser beam was used to simultaneously perform the optical trapping of liposomes and the detection of the spontaneous Raman scattered light. The intensity of Raman scattered light that corresponds to lipid bilayers increased with time. This observation suggested that the number of liposomes increased at the focal point. The number of glutamate molecules in the trapped liposomes was estimated from the calibration curve of the Raman spectra of glutamate solutions with known concentration. This method can be used to measure the number of glutamate molecules encapsulated in synaptic vesicles

Identifiers

PMID35350315
PMCPMC8945065
OpenAlexW4220706950

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.