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Ординатура / Хирургия / Библиотека им академика М.И. Перельмана / Книга_5425_Библиотеки_им_академика_М_И_Перельмана

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 
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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 invivo 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 ofGlycoconjugates: 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
179
 
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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
181
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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 ofAbbreviations
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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