Evidence map›Paper›PMID 29392685›Full record

ArticleJournal of the American Society for Mass Spectrometry2018

A Simple Sonication Improves Protein Signal in Matrix-Assisted Laser Desorption Ionization Imaging.

Li-En Lin, Pin-Rui Su, Hsin-Yi Wu, Cheng-Chih Hsu

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of the American Society for Mass Spectrometry, 2018. 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
1.4field-weighted citation impact, top 23% 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, 11 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

4 authors at 1 institution in 1 country.

Li-En LinDepartment of Chemistry, National Taiwan University, No. 1, Sec. 4, Roosevelt Rd, Taipei, 10617, Taiwan, Republic of China.
Pin-Rui SuDepartment of Chemistry, National Taiwan University, No. 1, Sec. 4, Roosevelt Rd, Taipei, 10617, Taiwan, Republic of China.
Hsin-Yi WuDepartment of Chemistry, National Taiwan University, No. 1, Sec. 4, Roosevelt Rd, Taipei, 10617, Taiwan, Republic of China.
Cheng-Chih HsuDepartment of Chemistry, National Taiwan University, No. 1, Sec. 4, Roosevelt Rd, Taipei, 10617, Taiwan, Republic of China. ccrhsu@ntu.edu.tw.ORCID 0000-0002-2892-5326
National Taiwan University · TW

Funding

Center for Emerging Material and Advanced Devices, National Taiwan University 106R880211Ministry of Science and Technology, Taiwan 105-2113-M-002-004-MY2Ministry of Science and Technology, Taiwan 106-2113-M-002-013-MY2Ministry of Science and Technology, Taiwan 106-2813-C-002-136-M
6 · The paper itself

Abstract

Proper matrix application is crucial in obtaining high quality matrix-assisted laser desorption ionization (MALDI) mass spectrometry imaging (MSI). Solvent-free sublimation was essentially introduced as an approach of homogeneous coating that gives small crystal size of the organic matrix. However, sublimation has lower extraction efficiency of analytes. Here, we present that a simple sonication step after the hydration in standard sublimation protocol significantly enhances the sensitivity of MALDI MSI. This modified procedure uses a common laboratory ultrasonicator to immobilize the analytes from tissue sections without noticeable delocalization. Improved imaging quality with additional peaks above 10 kDa in the spectra was thus obtained upon sonication treatment. Graphical Abstract ᅟ.

Indexed as

AnimalsBrain ChemistryMiceProteinsSonicationSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationProteinsMass spectrometry imagingMatrix-assisted laser desorption ionizationproteinsample preparation

Identifiers

PMID29392685
OpenAlexW2793568055

What OpenQuestion holds

Textmetadata
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.