2019
DOI: 10.1016/j.talanta.2019.03.117
|View full text |Cite
|
Sign up to set email alerts
|

The use of 1,5-diaminonaphthalene for matrix-assisted laser desorption/ionization mass spectrometry imaging of brain in neurodegenerative disorders

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

4
19
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
3
3
1

Relationship

0
7

Authors

Journals

citations
Cited by 22 publications
(24 citation statements)
references
References 37 publications
4
19
0
Order By: Relevance
“…Over the years, advances in lipidomics (Züllig & Köfeler, 2020) have allowed global lipid profiling in AD research showing significant alterations of AD brain lipid metabolism (Chan et al, 2012;Han et al, 2001Han et al, , 2002Pernber et al, 2012;Snowden et al, 2017). In the last decade, the combination of immunohistochemistry and microdissection technology to visualize and dissect Aβ-plaques followed by liquid chromatography (LC)-electrospray ionization (ESI) MS (Gaudin et al, 2012;Panchal et al, 2010Panchal et al, , 2014 and MS-based imaging techniques (Carlred et al, 2014(Carlred et al, , 2016Kaya et al, 2018;Michno et al, 2018Sole-Domenech et al, 2013;Strnad et al, 2019;Tian et al, 2019) resulted in powerful tool boxes capable of successfully detecting and correlating multiple targets of AD pathogenesis with about cellular spatial resolution (Figure 1). Together, these techniques help to elucidate the multifaceted chemical build-up of Aβ-plaques and enable a comprehensive discussion of possible pathophysiological pathways involved in plaque-associated lipid alterations and of Aβ-lipid interactions (Table 1).…”
Section: Ma Ss S Pec Trome Try Pl Atforms To the S Tudy Of Pl Aque-a Sso Ciated Lipidsmentioning
confidence: 99%
See 3 more Smart Citations
“…Over the years, advances in lipidomics (Züllig & Köfeler, 2020) have allowed global lipid profiling in AD research showing significant alterations of AD brain lipid metabolism (Chan et al, 2012;Han et al, 2001Han et al, , 2002Pernber et al, 2012;Snowden et al, 2017). In the last decade, the combination of immunohistochemistry and microdissection technology to visualize and dissect Aβ-plaques followed by liquid chromatography (LC)-electrospray ionization (ESI) MS (Gaudin et al, 2012;Panchal et al, 2010Panchal et al, , 2014 and MS-based imaging techniques (Carlred et al, 2014(Carlred et al, , 2016Kaya et al, 2018;Michno et al, 2018Sole-Domenech et al, 2013;Strnad et al, 2019;Tian et al, 2019) resulted in powerful tool boxes capable of successfully detecting and correlating multiple targets of AD pathogenesis with about cellular spatial resolution (Figure 1). Together, these techniques help to elucidate the multifaceted chemical build-up of Aβ-plaques and enable a comprehensive discussion of possible pathophysiological pathways involved in plaque-associated lipid alterations and of Aβ-lipid interactions (Table 1).…”
Section: Ma Ss S Pec Trome Try Pl Atforms To the S Tudy Of Pl Aque-a Sso Ciated Lipidsmentioning
confidence: 99%
“…Simultaneous mapping of biomolecules' abundance and their spatial information on Aβ-plaques is supported by recent advancements in Mass Spectrometry Imaging (MSI) techniques (Carlred et al, 2014;Sole-Domenech et al, 2013;Strnad et al, 2019). Without the need to prepare tissue extracts and to know a priori the target molecules, MSI is a powerful tool to investigate the spatial distribution of hundreds of biomolecules such as peptides, metabolites and lipids on the same tissue section (Buchberger et al, 2018).…”
Section: Mass Spectrometry Imagingmentioning
confidence: 99%
See 2 more Smart Citations
“…MALDI-MSI is currently the most popular MSI technique being used to visualise the distribution of compounds directly in tissue sections (Jove et al, 2019;Strnad et al, 2019). MALDI-MSI offers large advantages; comprising high throughput, robustness and the ability to map ion distribution of many compounds without requiring the use of labels, such as isotopes or fluorescent tags (Schulz et al, 2019).…”
Section: Introductionmentioning
confidence: 99%