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gastrointestinal tract exhibit a significant increase in the serum levels of the CA 19.9
a
(sialyl Lewis a [sLe
]) glycoconjugate and spontaneously develop severe pancreatitis, which progresses to aggressive pancreatic adenocarcinoma in the presence of
the Kras oncogene[141]. The homozygous KO of Fut2 in mice, through genetic
recombination of embryonic stem cells, abrogates the expression of the α1,2
b
di‐ fucosylated Lewis b (Le
) antigen, which successfully prevents the adhesion of
BabA‐dependent H. pylori strains to the stomach’s epithelial lining [49, 148]. In
addition, the conditional silencing of C1Galt1 in the mouse gastric epithelium leads
to the spontaneous development of gastritis with progression to Tn‐overexpressing
adenocarcinomas[145]. Such observations demonstrate that genetic defects in single GTs are sufficient to trigger tumor onset and progression and portray glycoengineered mouse strains as robust in vivo models of organ‐specific spontaneous
neoplastic transformation.
Patient‐derived xenografts (PDXs) and PDX‐derived organoids reliably recapitulate
the genomic and phenotypical features of the individual tumors from which they
originated, including therapeutic drug response (reviewed in[149, 150]). By retaining inter‐ and intratumor molecular heterogeneity, PDX models constitute, therefore,
appealing platforms for translational and preclinical research. N‐glycomic analysis
of pancreatic cancer‐derived PDX models demonstrated their ability to accurately
recapitulate the invivo glycosylation landscape[151]. Furthermore, PDX models pro-
vide a nonhuman background, which constitutes an advantage in proteomics‐based
biomarker discovery. Several unique N‐glycopeptides have been identified in the
sera of mice bearing PDX established from high‐grade serous ovarian carcinoma
patients[152].
6.7 Structural Elucidation ofGlycoconjugates:
Glycomic and Glycoproteomic Strategies
The mammalian cell glycome is characterized by formidable complexity and diversity. Although complex glycan biosynthesis relies on the enzymatic assembly of a
limited number of monosaccharide units, comprehensive glycan identification
remains technically challenging. The structural characterization of carbohydrates
by MS‐based analytical methods is of major importance since the majority of glycan‐
mediated interactions occurring within biological systems are strictly dependent on
the glycan’s tridimensional structure. However, several unique features of glycans
hamper their exact structural elucidation. These include the large number of possible branching sites; the presence of closely related isomers with identical monosaccharide composition within a biological sample; different anomeric configurations
of glycosidic linkages; and further glycan modifications with chemically diverse
functional groups (e.g. sulfate and phosphate). Furthermore, the functional role of
a given glycan species is often determined by its nonglycan molecular carrier and
the specific site to which the glycan is attached. Moreover, posttranslational glycosylation includes several extremely labile groups, such as terminal Neu5Ac motifs,
which are often lost during analyte fragmentation[153]. Therefore, the unequivocal

identification and structural characterization of glycan species in a complex biological sample (e.g. cell line, tumor specimen, and body fluid) requires the coupling of
methods for efficient glycan separation with high‐resolution and sensitive MS‐based
analytical workflows. However, most analytical methods still require the laborious
and time‐consuming manual interpretation of complex fragmentation data.
Depending on the biological question, glycans can be analyzed either separately
from their nonglycan counterparts (MS‐based glycomics) or while still attached to
their protein carriers (MS‐based glycoproteomics). In the typical N‐glycomic workflow, the biological sample to be analyzed is usually homogenized and lysed, proteins are irreversibly denaturated in the presence of reducing agents such as
β‐mercaptoethanol or dithiothreitol, and N‐glycans are released through enzymatic
digestion with PNGase F[154, 155]. PNGase F digestion is fast, robust, and highly
efficient in the liberation of all classes of N‐glycans. Due to the lack of known
enzymes capable of cleaving O‐glycan chains from glycoproteins, chemical‐based
strategies such as reductive β‐elimination and hydrazinolysis remain the gold stand-
ard for total O‐glycan release[156].
Released glycans can then undergo chemical derivatization at their reducing end,
or be directly analyzed in their native form[157]. Released glycan species contain a
reactive carbonyl group at their reducing end that can be readily derivatized.
Derivatization methods equalize the chemical properties of glycans and are especially suitable for: glycan labeling with fluorescent tags to allow sensitive analyte
detection; stabilization of the most labile groups of glycan chains, in particular
Neu5Ac moieties, which can be easily lost during sample ionization; and providing
every released glycan species with a uniform charge, which improves their ionization efficiency. This is of particular importance since carbohydrates are not as easily
transferred to the gas phase as proteins or peptides, which are ubiquitously protonated, and do not ionize as efficiently, being particularly susceptible to ion suppression when using positive ion mode analysis[155]. Moreover, during the ionization
process of an analyte mixture, more hydrophobic biomolecules will cause the ion
suppression of less hydrophobic ones. It is, thus, advisable to separate glycans
according to their acidity prior to MS analysis. The most widely used derivatization
strategies include reductive amination and glycan permethylation[157]. The latter
method precludes the formation of intermolecular hydrogen bonds, which increase
glycan hydrophobicity, volatility, and, consequently, ion signal intensity. Besides, it
favors the formation of diagnostic fragment ions, i.e. monosaccharide oxonium
ions, which provide invaluable structural information. Additionally, glycan permethylation prevents intramolecular rearrangements, such as fucose transfer
between the N‐glycan core and antennae, which preclude unequivocal glycan structural assignment[158]. Finally, by eliminating the negative charge from Neu5Ac
moieties, glycan derivatization stabilizes sialylated groups for positive ion mode
analysis[159]. Recently, a novel method for linkage‐specific Neu5Ac derivatization
was developed based on the ethyl esterification of α2,6Neu5Ac groups, followed by
the lactonization and sequential stable amidation of α2,3Neu5Ac motifs[160]. This
Neu5Ac derivatization method has been applied to confirm the abrogation of α2,6‐
sialylated N‐glycan species from the ErbB2 glycome in ST6GAL1 KO gastric cancer
cells[48].
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Especially when dealing with complex samples characterized by a diverse repertoire of isomeric or closely related structures, glycan separation is required prior to
MS‐based analysis. Indeed, the selected separation method can also facilitate isomeric glycan resolution. The combination of high‐performance liquid chromatography (HPLC)‐based separation with the speed and sensitivity of tandem MS
represents one of the most widely used glycan‐directed analytical strategies[161].
Online LC‐MS/MS provides distinct types of information that aid in the qualitative
and semiquantitative analysis of glycan structures based on analyte retention time,
accurate mass, and tandem fragmentation spectra. MS‐generated data provides
insights into glycan class and composition, glycan structure, and relative abundance. Porous graphitized carbon (PGC)[162, 163], solid‐phase hydrophilic interaction liquid chromatography (SPE‐HILIC)[160, 164], and capillary electrophoresis
(CE)[160, 164–166] represent robust methods to achieve well‐resolved glycan isomeric separation. Analyte retention and separation power provided by each method
are determined by features such as hydrophobicity, polarity, and the establishment
of weak electrostatic and ionic interactions between the analyte and distinct stationary phases. A PGC‐LC‐MS/MS workflow has been used for the structural elucidation of N‐glycans released from the heavily glycosylated CEA adhesion molecule,
x
which led to the identification of CEA as a molecular carrier of sLe
in highly glycoengineered cell models of metastatic gastric cancer [46]. Isomeric ion separation
can also be achieved in the gas phase through the modern ion‐mobility spectrometry method, which determines the size‐, shape‐, and charge‐dependent mobility of
gas‐phased ions depending on their collisional cross‐section size [167, 168].
Furthermore, the performance of tandem MS allows the accurate identification of
isomeric species based on distinctive fragmentation patterns.
Over the last decades, a wide array of MS instrumentation and methods have been
employed for the structural elucidation of glycoconjugates. However, MALDI and
electrospray ionization (ESI) are amongst the most commonly used. MALDI constitutes a soft ionization technique in which analytes are embedded within a crystalized energy‐absorbent acidic matrix that, upon excitation by a short UV laser pulse,
promotes analyte evaporation and the generation of protonated ions with minimal
or no fragmentation [169]. When using MALDI to analyze nonderivatized native
glycans, labile acidic groups such as Neu5Ac, fucose, sulfate, and phosphate are
often lost during the analyte ionization process due to the significant vibrational
excitation of generated ions[170]. Loss of glycan labile groups can be circumvented
through glycan stabilization by derivatization protocols, such as permethylation. On
the other hand, in ESI‐based ionization, a solution containing the target analytes is
infused through an electroconductive needle to which an electric field is applied,
causing the formation of extremely fine analyte‐containing droplets, which readily
evaporate to form MS‐detectable charged ions[171]. In this method, acidic glycans
and other labile ions undergo significantly less fragmentation and can, thus, be subjected to direct MS analysis[172]. In ESI, however, hydrophilic native glycans preferably occupy the center of formed droplets and have their ionization efficiency
suppressed by more hydrophobic species occupying the droplet periphery[173]. Ion
suppression can, however, be minimized by significantly reducing droplet size and,

consequently, the concentration of suppressing molecules through the use of
nanoscale ESI setups[160]. Moreover, when compared with MALDI, ESI produces
better resolved peaks for glycoconjugates due to the absence of matrix‐derived
adduct peaks.
In the case of glycoproteins, site‐specific mapping and structural characterization
of attached glycan species are usually warranted. This type of structural analysis can
be performed on intact glycoproteins (top‐down glycoproteomics) or glycopeptides
resulting from proteolytic digestion (bottom‐up glycoproteomics). Although trypsin
remains the gold standard enzyme for the digestion of glycoproteins into glycosylated
and nonglycosylated peptides, tryptic glycopeptides may harbor multiple glycosylation sites or be too long to be readily analyzed by MS[174]. Indeed, post-translational
glycosylation often protects the peptidic backbone from enzymatic digestion (miscleavage), yielding longer glycopeptides that are not as easily ionizable[175]. Thus, the
use of other proteases bearing distinct cleavage specificities or the combination of
multiple digesting enzymes may allow for wider and more comprehensive glycoproteome coverage[176, 177]. However, the use of less specific proteases may generate
glycopeptides that are not unique and that produce poorly understood fragmentation
patterns, thus hampering precise glycopeptide assignment.
Ideally, glycoproteomic methods should allow the comprehensive elucidation of
tridimensional glycan structures and their unequivocal assignment to specific amino
acid residues within a given glycopeptide. The format in which glycoproteins are
analyzed and the selection of the most appropriate analytical method depend on the
complexity of the biological sample and the depth of characterization required. Such
considerations are of particular importance when analyzing glycoproteins harboring
multiple glycosylation sites, depicting both macro‐ and microheterogeneity[172].
Importantly, the post-translational glycosylation of proteins increases their hydrophilicity and surface activity and severely decreases their ionization efficiency[178].
In fact, in a complex mixture of enzymatically digested peptides, the high ionization
efficiency of less acidic nonglycosylated peptides causes the ion suppression of low‐
abundancy, more acidic, and hydrophilic glycopeptides, especially when using positive ion mode analysis. For this reason, glycopeptide enrichment strategies are often
required to achieve confident MS‐based glycopeptide identification. Lectin affinity
chromatography has been widely used for glycopeptide enrichment purposes[179].
The wide range of glycan structures recognized by less specific lectins, such as wheat
germ agglutinin (WGA), concanavalin A (ConA), and jacalin (JAC), makes these
GBPs ideal for the less strict enrichment of large portions of the target glycoproteome. Lectins bearing narrower carbohydrate specificity, such as the ones binding to
linkage‐specific sialylated glycans (e.g. Sambucus nigra agglutinin [SNA] and
Maackia amurensis lectin [MAL]), can be used for the selective enrichment of
defined subsets of oligosaccharides. Interestingly, Wisteria floribunda agglutinin
(WFA) was used to guide the direct dissection of lectin‐stained neoplastic tissue sections of cholangiocarcinoma for subsequent agarose‐bound lectin chromatography
toward cancer biomarker discovery[180]. Furthermore, multiple lectins can be serially combined to achieve improved glycopeptide purification (multi‐lectin affinity
chromatography)[181]. This strategy has been successfully used in the identification
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of cancer‐specific serum biomarkers in multiple solid tumors, including prostate [182], breast carcinoma [183, 184], and cholangiocarcinoma [185]. The
Tn‐binding VVA lectin was used for the affinity capture of simplified mucin‐type O‐
glycosylated peptides generated by the SimpleCell glycoengineering strategy and
allowed the identification of over 600 distinct glycoproteins and close to 3000
O‐glycosites[117]. However, regardless of their glycan specificity, no single lectin or
combination of lectins can encompass the entire glycoproteome. Other affinity‐based
chemical strategies, including titanium dioxide (TiO
) enrichment and hydrazide
2
chemistry, have been used for the enrichment of sialylated glycopeptides. TiO
acts with Neu5Ac through multipoint binding while voiding neutral glycopeptides or
nonglycosylated peptides [186]. TiO
enrichment followed by MS‐based identifica-
2
tion of sialylated glycopeptides was successfully performed in the serum of bladder
cancer patients to identify cancer‐specific circulating biomarkers and to illustrate the
overall increase in sialylation triggered by malignant transformation[187]. When
using this enrichment strategy, however, elution of polysialylated glycans is difficult[188]. Hydrazide chemistry is based on aldehyde formation from oxidized glycopeptides [189]. Glycans are then covalently immobilized on a solid hydrazide
substrate, followed by the release of the peptide moiety by PNGase F digestion, which
allows for peptide sequencing and identification of glycosylated residues. However,
this enrichment strategy does not provide structural information on glycan chains
since it fails to produce intact glycoconjugates for subsequent MS analysis. Also, by
being PNGase F‐dependent, hydrazide chemistry is not suitable for the MS‐based
analysis of O‐glycoproteins[189, 190]. Hydrazide chemistry has been employed to
dissect the tumor‐specific glycoproteome of hepatocellular[191], lung[192], prostate [193], and breast carcinomas [194]. SPE‐HILIC and SPE‐PGC, which can be
directly coupled to different mass spectrometers, represent widely used strategies for
glycopeptide separation, clean‐up, and enrichment and are based on weak molecular
interactions (e.g. hydrogen bonding, ionic, and dipole–dipole interactions) established between carbohydrate‐containing analytes and a polar stationary phase.
HILIC‐based glycopeptide enrichment has been used to illustrate differences in the
sialylation levels of selected protein biomarker candidates, including haptoglobin
and transferrin, in the serum of gastric cancer patients[195], as well as to quantify
differences in the fucosylation levels of the α1‐acid‐glycoprotein in the serum of individuals bearing pancreatic cancer and precancerous pancreatic lesions[196]. HILIC‐
based enrichment of fluorescently labeled N‐glycans led to the discovery of the RON
x
oncogenic RTK as a molecular carrier of the sLe
tumor‐associated glycan antigen in
ST3Gal4‐overexpressing gastric cancer cell lines[45]. HILIC has been used for glycoprotein purification from colorectal cancer clinical tissue specimens, followed by
2
MALDI‐(time‐of‐flight)
‐MS (MALDI‐TOF/TOF‐MS) analysis of total released
N‐glycans[197]. Analyzed tumor tissues harbored a decrease in glycan species carrying bisecting GlcNAc and an increase in sulfated, paucimannosidic, and sialofucosylated glycan determinants when compared to nontransformed healthy control
tissues.
Proper glycopeptide assignment requires intact glycopeptide analysis and thor-
ough glycan structural characterization. Detailed fragmentation information from
inter-
2

both the glycan and peptide portions can be obtained through distinct yet complementary tandem fragmentation strategies. Indeed, hybrid fragmentation methods
3
combining parallel (alternating) or sequential (MS
) fragmentation approaches provide more comprehensive structural information on both the peptidic and glycan
moieties of glycopeptides[198, 199]. Collision‐induced dissociation (CID) represents one of the most prevalent approaches for the tandem fragmentation of glycans
and glycoconjugates and for the generation of diagnostic ions. Lower energy CID‐
based fragmentation preferentially cleaves the glycosidic bonds between monosaccharides, which are more labile than peptidic amide bonds, generating B‐ and Y‐ions
that inform glycan composition and sequence[200]. Higher collision energies, on
the other hand, generate cross‐ring A‐ and X‐ions and internal double cleavage fragments for the identification of glycan branching sites and the resolution of isobaric
structures[199, 201]. This kind of fragmentation does not produce information on
the glycopeptide peptidic sequence and, thus, is rarely used individually for glycopeptide assignment[201]. Indeed, CID‐derived parent B‐ and Y‐ions with sufficient
3
signal intensity can be selected to undergo sequential fragmentation cycles (MS
),
where complementary b‐ and y‐ions from the peptidic backbone can be generated
by higher collision energies. Since distinct collision energies give rise to differential
fragmentation, current glycan‐ and glycopeptide‐directed MS workflows make use
of collision energy‐stepping, i.e. the use of incremental CID fragmentation energies
on the same set of precursor ions within a single mass spectrum scan, which yields
richer and more informative fragmentation spectra[198, 202]. Higher energy collisional dissociation (HCD), a higher energy variant of CID, is unique to more modern Orbitrap‐based instruments. HCD offers improved accuracy in the detection of
small diagnostic oxonium ions, particularly in the low m/z range[201]. HCD produces both glycan B‐ and Y‐oxonium ions and b‐ and y‐type ions derived from peptide backbone fragmentation, which tend to lose all or part of their glycan
modifications during fragmentation. HCD‐based stepping workflows not only produce both glycan and peptide backbone fragments from a single fragmentation
event but also generate more detectable cross‐ring fragment ions, which are fundamental to pinpoint glycosidic linkages and identify isomeric species [198, 199].
Electron transfer dissociation (ETD) constitutes a widely used fragmentation
method for intact glycopeptide analysis. In ETD‐based fragmentation, protonated
glycopeptides receive electrons generated from radical anions, which cause fragmentation along the peptidic backbone in the form of c‐ and z‐type ions [203].
Distinctively from CID‐based fragmentation, ETD retains labile post-translational
modifications such as glycosylation on the protein backbone and, therefore, does
not generate valuable information on glycan composition or sequence[199, 204].
However, generated c‐ and z‐type ions are extremely useful to pinpoint glycosylation
sites and retrieve peptidic sequences.
Aiming to gather more comprehensive structural information on both peptide and
glycan moieties of glycopeptides, many modern‐day Orbitrap‐based mass spectrometers are able to combine complementary dissociation workflows. For instance, in a
product‐triggered targeted method, the detection of HCD‐derived glycan oxonium
ions generated by glycopeptide fragmentation triggers subsequent ETD
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fragmentation events of the respective parent ions, while nonglycosylated peptides
are not selected for tandem MS analysis[205]. This strategy has been employed to
comprehensively characterize the site‐specific glycosylation profiles of the ErbB2
and EGFR RTKs in gastric and colorectal carcinoma cells, respectively, using the
HexNAc oxonium ion (m/z 204.087) as a product ion trigger to select HexNAc‐
containing parent ions for additional fragmentation rounds [48, 206]. Product‐
triggered fragmentation approaches have been successfully used to unravel the
target‐specific O‐glycoproteome of colorectal and leukemia cancer cell lines[207, 208].
The manual interpretation of data generated from the MS‐based analysis of free
glycans or glycoproteins is challenging, laborious, time‐consuming, and requires significant expertise. The inclusion of fragmentation spectral data further increases the
complexity of this analytical exercise. Contrarily to genomic databases, the establishment of both glycomic and glycoproteomic software‐based tools represents a more
challenging task since glycans constitute secondary gene products whose structure
cannot be fully predicted by a given genetic sequence. The establishment of comprehensive glycan structural databases rather relies on the global deposition of glycan
analytical data and the development of bioinformatic tools capable of querying this
data in a high‐throughput manner for the quick and targeted prediction of a given
glycan 3D structure, binding partner, biosynthetic pathway, associated pathologies,
and host organism[209]. Several open‐source and commercial software tools have
been developed to aid in the interpretation of glycopeptide mass spectra. These
include: SimGlycan[210], Glyco‐DIA[211], GlypID 2.0/GlycoFragWork[212, 213],
ByOnic [214], MassyTools [215], GlycoPepGrader [216], SweetSEQer [217],
ArMone[218], GlycoPepDetector[219], GRIP[220], MAGIC[221], GP Finder[222],
Sweet‐Heart [223], GPQuest [224], GlycoFinder [201], GlycopeptideSearch
(GPS) [225], pGlyco 2.0 [226], O‐Pair Search [227], GPSeeker [228], pMatch
Glyco[229], glyXtoolMS[230], SugarQB[231], GlycoPAT[232], I‐GPA [233], and
GlycoMasterDB[234].
-
6.8 Concluding Remarks
Glycans undoubtedly play an essential role in maintaining mammalian cell homeostasis. Strategically localized at the interface of a cell and its surrounding microenvironment, glycans act as crucial molecular gatekeepers, actively governing virtually
every cellular process. Moreover, since the posttranslational glycosylation cellular
process is highly sensitive to a cell’s physiological state, glycans have been widely
established as robust molecular reporters of pathological conditions and, in particular, of the neoplastic transformation of human tissues. The aberrant expression of
cancer‐specific glycan antigens by neoplastic cells, which stems from a variety of
dysregulated mechanisms affecting the cellular glycosylation machinery, has been
linked to the majority of malignant features supporting tumor cell survival, proliferation, differentiation, immune evasion, and local or distant organ dissemination.
At the cellular level, TACAs drive malignant transformation by either disrupting the

homeostatic functions of tumor‐suppressive elements or by enhancing the oncogenic properties of proteins controlling cell adhesion, programmed cell death, mitogenic signaling, and extracellular communication. However, the mechanistic basis
underlying such alterations, as well as the functional impact that these may have on
tumor onset, development, and metastatic spread, warrant further investigation.
Indeed, several biosynthetic and structural features of glycans pose unique challenges to their compositional characterization, structural elucidation, carrier assignment, and functional study. The vast array of monosaccharide substrate donors and
transporters and the partial redundant and overlapping specificities depicted by GTs
and glycosidases exponentially increase the structural complexity of the human glycosylation landscape. Moreover, the nontemplate‐driven nature of glycosylation
greatly hinders the unequivocal analytical‐based structural elucidation of complex
glycan chains. In recent years, we have witnessed the exponential technological
development of cellular‐, imaging‐, and analytical‐based tools and platforms that
have been instrumental in the unprecedented association between a glycan structure and its function within complex biological systems. The rapidly expanding toolbox of gene editing technologies has allowed the generation of cellular and animal
models depicting cleaner and well‐defined glycosylation backgrounds in which the
study of glycan biosynthesis and function can be performed in the absence of confounding factors such as GT redundant and compensatory activity. Increasingly
complex imaging systems have prompted the comprehensive characterization of
glycan expression patterns and distribution across histologically defined regions, as
well as the identification and mapping of tumor‐relevant glycan–protein interactions at the single complex level, in tissue specimens from oncological patients. The
emerging glycan microarray technology has fueled the high‐throughput interrogation and dissection of the glycan‐binding specificities of disease‐relevant carbohydrate‐based molecular interactions actively underpinning numerous features of
malignant cells, including evasion to immune recognition and surveillance. The
MS‐based elucidation of the composition, 3D structure, and site of attachment of
cancer‐associated glycan antigens has the potential to revolutionize the structure‐
guided design and optimization of cancer therapeutics. In conclusion, glycans
undeniably represent a novel set of tools that will become indispensable in the field
of modern‐era precision oncology, either as robust molecular biomarkers bearing
diagnostic, prognostic, predictive, and stratifying value, or as promising targets for
the delivery of personalized anticancer therapeutic agents.
183
List ofAbbreviations
capillary electrophoresis CE
carcinoembryonic antigen CEA
Consortium for Functional Glycomics CFG
collision‐induced dissociation CID
concanavalin A ConA

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184
CRISPR‐associated protein 9 CRISPR/Cas9
extracellular matrix
epidermal growth factor receptor
electrospray ionization
electron transfer dissociation
formalin‐fixed paraffin‐embedded
N‐acetylgalactosamine
glycan‐binding protein
N‐acetylglucosamine
guide RNA
gRNA
glycosyltransferase
higher energy collisional dissociation
high‐performance liquid chromatography
hematoxylin/eosin
Helicobacter pylori
imaging mass spectrometry
jacalin
JAC
knock‐in
knock‐out
Lewis b
KI
KO
Le
ECM
EGFR
ESI
ETD
FFPE
GalNAc
GBP
GlcNAc
GT
HCD
HPLC
H&E
H. pylori
IMS
monoclonal antibody MAb
Maackia amurensis lectin
matrix‐assisted laser desorption/ionization
MALDI‐(time‐of‐flight)
mass spectrometry
N‐acetylgalactosaminyltransferases
porous graphitized carbon
proximity ligation assay
peptide‐N‐glycosidase F
MAL
MALDI
2
‐MS MALDI‐TOF/TOF‐MS
MS
ppGalNAcT
PGC
PLA
PNGase F
nonhomologous end joining NHRJ
sialic acid Neu5Ac
open reading frame ORF
patient‐derived xenograft PDX
receptor tyrosine kinase RTK
sialyl Lewis a sLe
sialyl Lewis x sLe
Sambucus nigra agglutinin SNA
so lid‐phase hydrophilic interaction
liquid chromatography SPE‐HILIC
surface plasmon resonance SPR
sialyl Tn STn
tumor‐associated carbohydrate antigen TACA
tr anscription activator‐like effector
nucleases TALEN
b
a
x

185
titanium dioxide TiO
2
tissue microarray TMA
Vicia villosa agglutinin VVA
wheat germ agglutinin WGA
Wisteria floribunda agglutinin WFA
zinc‐finger nuclease ZFN
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