3 research outputs found
Laser Cleavable Probes-Based Cell Surface Engineering for <i>in Situ</i> Sialoglycoconjugates Profiling by Laser Desorption/Ionization Mass Spectrometry
Cell-surface
sialoglycoconjugates (sialoglycoproteins and sialoglycolipids) play
important roles in cell–cell interactions and related tumor
metastasis process. Although there have been some analytical methods
to evaluate the sialoglycoconjugates, an effective method providing
both qualitative and quantitative information is still deficient.
Here we establish an extraction-free, sensitive, and high-throughput
platform to realize <i>in situ</i> detection of the cell-surface
sialoglycoconjugates on various cell lines, e.g., cancer and normal
cells by laser desorption/ionization mass spectrometry (LDI MS). In
this proposal, azide groups were introduced into the ends of cell-surface
sialoglycoconjugates by the biorthogonal method, and then the sialoglycoconjugates
were armed with a laser-cleavable probe (Tphsene) through click chemistry.
We can easily get the probes signal under laser irradiation, which
reflected the presence of cell-surface sialoglycoconjugates. Different
cell lines were discriminated simultaneously, and the LDI relative
quantification agreed with fluorescent results. Besides, a linear
quantitation relationship in the range of 100 fmol to 100 pmol was
obtained with a designed and synthesized internal standard (phTsane)
added. A detection limit of 5 fmol was obtained with good reproducibility.
Based on the quantitative and high-throughput ability, we conducted
pharmacodynamics study of drug (tunicamycin) on cancer cells. In addition,
we found the tag was safe from sweet-spot effect of matrix adding.
The simultaneous detection of sialoglycoconjugates and metabolites
was therefore achieved. We believe that this laser cleavable probes-based
cell-surface engineering for sialoglycoconjugates platform means great
significance to diagnosis, prognosis, and therapeutic purposes. Besides,
this strategy can be applied to other glycoconjugates which is hard
to detect and the related disease processes when more corresponding
chemically modified sugar substrates and exact biorthogonal reactions
are developed
Utilizing a Mini-Humidifier To Deposit Matrix for MALDI Imaging
MALDI mass spectrometry imaging (MALDI-MSI)
is a powerful tool
to study endogenous metabolites. The process of matrix deposition
is crucial for a high-quality imaging result. Commercial instruments
for matrix deposition are expensive. Low-cost methods like airbrushing
will generate matrix crystals that are too large for high-spatial-resolution
imaging. Sublimation may cause some compounds to go undetected because
of the lack of solvent. Herein, we utilized a mini-humidifier, costing
less than 5 dollars, to deposit matrix for MALDI-MSI. Compared with
Imageprep, a commercialized instrument, our device based on the humidifier
provided higher sensitivity and much smaller matrix crystals with
diameters of less than 10 μm. High-quality ion images with 10
μm spatial resolution were obtained using our method. The enhancement
of sensitivity by the humidifier could provide a sufficient amount
of ions to perform tandem mass imaging. We also performed
MALDI-MS/MS imaging to separate two lipids in mouse brain
<i>N</i>‑Phenyl-2-naphthylamine as a Novel MALDI Matrix for Analysis and in Situ Imaging of Small Molecules
Due
to its strong ultraviolet absorption, low background interference
in the small molecular range, and salt tolerance capacity, <i>N</i>-phenyl-2-naphthylamine (PNA) was developed as a novel
matrix in the present study for analysis and imaging of small molecules
by matrix-assisted laser desorption/ionization mass spectrometry time-of-fight
(MALDI-TOF MS). The newly developed matrix displayed good performance
in analysis of a wide range of small-molecule metabolites including
free fatty acids, amino acids, peptides, antioxidants, and phospholipids.
In addition, PNA-assisted LDI MS imaging of small molecules in brain
tissue of rats subjected to middle cerebral artery occlusion (MCAO)
revealed unique distributions and changes of 89 small-molecule metabolites
including amino acids, antioxidants, free fatty acids, phospholipids,
and sphingolipids in brain tissue 24 h postsurgery. Fifty-nine of
the altered metabolites were identified, and all the changed metabolites
were subject to relative quantitation and statistical analysis. The
newly developed matrix has great potential application in the field
of biomedical research