Evidence map›Paper›PMID 35696262›Full record

ArticleAnalytical chemistry2022

Simultaneous Multiplexed Imaging of Biomolecules in Transgenic Mouse Brain Tissues Using Mass Spectrometry Imaging: A Multi-omic Approach.

Minh-Uyen Thi Le, Hyun Kyong Shon, Hong-Phuong Nguyen, Chul-Ho Lee, Kyoung-Shim Kim, Hee-Kyung Na, Tae Geol Lee

Open access · greenAbstract read
In one paragraph

Article in Analytical chemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-weighted citation impact, top 26% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
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  3. Review
  4. Review
  5. 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

7 authors at 3 institutions in 1 country.

Minh-Uyen Thi LeCenter for Nano-Bio Measurement, Korea Research Institute of Standards and Science (KRISS), Daejeon 34113, Korea.
Hyun Kyong ShonCenter for Nano-Bio Measurement, Korea Research Institute of Standards and Science (KRISS), Daejeon 34113, Korea.
Hong-Phuong NguyenDepartment of Biomedical Science, Inha University College of Medicine, Incheon 22332, Korea.
Chul-Ho LeeLaboratory Animal Resource Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Korea.
Kyoung-Shim KimLaboratory Animal Resource Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Korea.
Hee-Kyung NaCenter for Nano-Bio Measurement, Korea Research Institute of Standards and Science (KRISS), Daejeon 34113, Korea.
Tae Geol LeeCenter for Nano-Bio Measurement, Korea Research Institute of Standards and Science (KRISS), Daejeon 34113, Korea.ORCID 0000-0002-6674-4147
Korea Research Institute of Standards and Science · KRKorea Research Institute of Bioscience and Biotechnology · KRInha University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The importance of multi-omic-based approaches to better understand diverse pathological mechanisms including neurodegenerative diseases has emerged. Spatial information can be of great help in understanding how biomolecules interact pathologically and in elucidating target biomarkers for developing therapeutics. While various analytical methods have been attempted for imaging-based biomolecule analysis, a multi-omic approach to imaging remains challenging due to the different characteristics of biomolecules. Time-of-flight secondary ion mass spectrometry (ToF-SIMS) is a powerful tool due to its sensitivity, chemical specificity, and high spatial resolution in visualizing chemical information in cells and tissues. In this paper, we suggest a new strategy to simultaneously obtain the spatial information of various kinds of biomolecules that includes both labeled and label-free approaches using ToF-SIMS. The enzyme-assisted labeling strategy for the targets of interest enables the sensitive and specific imaging of large molecules such as peptides, proteins, and mRNA, a task that has been, to date, difficult for any MS analysis. Together with the strength of the analytical performance of ToF-SIMS in the label-free tissue imaging of small biomolecules, the proposed strategy allows one to simultaneously obtain integrated information of spatial distribution of metabolites, lipids, peptides, proteins, and mRNA at a high resolution in a single measurement. As part of the suggested strategy, we present a sample preparation method suitable for MS imaging. Because a comprehensive method to examine the spatial distribution of multiple biomolecules in tissues has remained elusive, our strategy can be a useful tool to support the understanding of the interactions of biomolecules in tissues as well as pathological mechanisms.

Indexed as

PeptidesSpectrometry, Mass, Secondary IonAnimalsBrainMiceMice, TransgenicRNA, MessengerPeptidesRNA, Messenger

Identifiers

PMID35696262
PMCPMC9261934
OpenAlexW4282554783

What Socratic 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 Socratic graph.