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Large-scale Identification of N-linked Intact Glycopeptides in Human Serum using HILIC Enrichment and Spectral Library Search

Qingbo Shu, Mengjie Li, Lian Shu, Zhiwu An, Jifeng Wang, Hao Lv, Ming Yang, Tanxi Cai, Tony Hu, Yan Fu, Fuquan Yang

2020Molecular & Cellular Proteomics67 citationsDOIOpen Access PDF

Abstract

Large-scale identification of N-linked intact glycopeptides by liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS) in human serum is challenging because of the wide dynamic range of serum protein abundances, the lack of a complete serum N-glycan database and the existence of proteoforms. In this regard, a spectral library search method was presented for the identification of N-linked intact glycopeptides from N-linked glycoproteins in human serum with target-decoy and motif-specific false discovery rate (FDR) control. Serum proteins were firstly separated into low-abundance and high-abundance proteins by acetonitrile (ACN) precipitation. After digestion, the N-linked intact glycopeptides were enriched by hydrophilic interaction liquid chromatography (HILIC) and a portion of the enriched N-linked intact glycopeptides were processed by Peptide-N-Glycosidase F (PNGase F) to generate N-linked deglycopeptides. Both N-linked intact glycopeptides and deglycopeptides were analyzed by LC-MS/MS. From N-linked deglycopeptides data sets, 764 N-linked glycoproteins, 1699 N-linked glycosites and 3328 unique N-linked deglycopeptides were identified. Four types of N-linked glycosylation motifs (NXS/T/C/V, X≠P) were used to recognize the N-linked deglycopeptides. The spectra of these N-linked deglycopeptides were utilized for N-linked deglycopeptides library construction and identification of N-linked intact glycopeptides. A database containing 739 N-glycan masses was constructed and utilized during spectral library search for the identification of N-linked intact glycopeptides. In total, 526 N-linked glycoproteins, 1036 N-linked glycosites, 22,677 N-linked intact glycopeptides and 738 N-glycan masses were identified under 1% FDR, representing the most in-depth serum N-glycoproteome identified by LC-MS/MS at N-linked intact glycopeptide level. Large-scale identification of N-linked intact glycopeptides by liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS) in human serum is challenging because of the wide dynamic range of serum protein abundances, the lack of a complete serum N-glycan database and the existence of proteoforms. In this regard, a spectral library search method was presented for the identification of N-linked intact glycopeptides from N-linked glycoproteins in human serum with target-decoy and motif-specific false discovery rate (FDR) control. Serum proteins were firstly separated into low-abundance and high-abundance proteins by acetonitrile (ACN) precipitation. After digestion, the N-linked intact glycopeptides were enriched by hydrophilic interaction liquid chromatography (HILIC) and a portion of the enriched N-linked intact glycopeptides were processed by Peptide-N-Glycosidase F (PNGase F) to generate N-linked deglycopeptides. Both N-linked intact glycopeptides and deglycopeptides were analyzed by LC-MS/MS. From N-linked deglycopeptides data sets, 764 N-linked glycoproteins, 1699 N-linked glycosites and 3328 unique N-linked deglycopeptides were identified. Four types of N-linked glycosylation motifs (NXS/T/C/V, X≠P) were used to recognize the N-linked deglycopeptides. The spectra of these N-linked deglycopeptides were utilized for N-linked deglycopeptides library construction and identification of N-linked intact glycopeptides. A database containing 739 N-glycan masses was constructed and utilized during spectral library search for the identification of N-linked intact glycopeptides. In total, 526 N-linked glycoproteins, 1036 N-linked glycosites, 22,677 N-linked intact glycopeptides and 738 N-glycan masses were identified under 1% FDR, representing the most in-depth serum N-glycoproteome identified by LC-MS/MS at N-linked intact glycopeptide level. N-linked glycoproteins in human serum have been utilized in diagnosing of diseases for decades, such as prostate specific antigen (PSA) 1The abbreviations used are:PSAprostate specific antigenACNacetonitrileCA-125cancer antigen 125CDcluster of differentiationCDGcongenital disorders of glycosylationCDTcarbohydrate-deficient transferrinCFHcomplement factor HDDAdata-dependent acquisitionDIAdata-independent acquisitionDTT1, 4-dithiothreitolFAformic acidFDGPfractionated deglycopeptidesFGPfractionated glycopeptidesFDRfalse discovery rateGAGglycosaminoglycanGPSMglycopeptidespectrum matchHILIChydrophilic interaction liquid chromatographyIAM2-iodoacetamideLCliquid chromatographyLC-MS/MSliquid chromatography coupled tandem mass spectrometryMSmass from from liquid from from from serum from serum 1The abbreviations used are:PSAprostate specific antigenACNacetonitrileCA-125cancer antigen 125CDcluster of differentiationCDGcongenital disorders of glycosylationCDTcarbohydrate-deficient transferrinCFHcomplement factor HDDAdata-dependent acquisitionDIAdata-independent acquisitionDTT1, 4-dithiothreitolFAformic acidFDGPfractionated deglycopeptidesFGPfractionated glycopeptidesFDRfalse discovery rateGAGglycosaminoglycanGPSMglycopeptidespectrum matchHILIChydrophilic interaction liquid chromatographyIAM2-iodoacetamideLCliquid chromatographyLC-MS/MSliquid chromatography coupled tandem mass spectrometryMSmass from from liquid from from from serum from serum and antigen and glycoproteins as specific for identification of N-linked intact glycopeptides is a to under LC-MS/MS been to and N-linked glycopeptides. In this is In for to a as the of and in this at the a of by the the most of this in A of to spectra of of data by mass the to and the most such as for and by the the is for during and as the this the the of N-linked intact glycopeptide is the most is as in to a recognize the of N-linked intact glycopeptides is in the In with of to separated by used liquid chromatography of N-linked intact glycopeptides in and of in in of glycopeptides. of and to of of N-linked intact glycopeptides in spectra under the of a was in a data from to of protein glycosylation by of N-linked and In a with spectral library search was utilized in N-linked intact glycopeptide identification from human of of to the and a method for of in mass was into and was to N-linked intact glycopeptide identification database search with and mass spectrometry for intact glycopeptide Both in-depth identification of N-linked intact glycopeptides in were in identification from the of and human serum a dynamic range in protein is a to the N-linked intact glycopeptides in human the spectral library of N-linked deglycopeptides to glycoproteins and of in at by was by of proteins and of N-linked intact by of F to generate N-linked deglycopeptides and LC-MS/MS of the of to in this is to of N-linked intact glycopeptide false N-linked glycosites by of the false identification of glycosites, a was to N-linked glycosites and in of were with N-linked were by F digestion, and the N-linked deglycopeptides were to by of protein glycosylation by of N-linked and with the this was to human serum and N-linked glycoproteins were identified of Serum and and the and serum the of serum N-glycoproteome by this was prostate specific antigen acetonitrile antigen of disorders of glycosylation factor deglycopeptides glycopeptides false discovery rate hydrophilic interaction liquid chromatography liquid chromatography liquid chromatography coupled tandem mass spectrometry mass spectrometry deglycopeptides from glycopeptides from liquid chromatography deglycopeptides from glycopeptides from deglycopeptides from serum glycopeptides from serum prostate specific antigen acetonitrile antigen of disorders of glycosylation factor deglycopeptides glycopeptides false discovery rate hydrophilic interaction liquid chromatography liquid chromatography liquid chromatography coupled tandem mass spectrometry mass spectrometry deglycopeptides from glycopeptides from liquid chromatography deglycopeptides from glycopeptides from deglycopeptides from serum glycopeptides from serum In this a complete to the of serum N-glycoproteome LC-MS/MS. serum proteins were separated into low-abundance and high-abundance by precipitation. After digestion, was used to in glycopeptide of Serum and and of for in of F was used to N-linked deglycopeptides from a portion of the enriched N-linked intact glycopeptide The N-linked deglycopeptides were analyzed LC-MS/MS and identified protein database search a for and protein identification tandem mass From N-linked deglycopeptides data sets, 764 N-linked glycoproteins, 1699 N-linked glycosites and 3328 unique N-linked deglycopeptides were identified. The of serum N-glycoproteome identified by this was to A spectral library of identified deglycopeptides with was by N-linked glycopeptide identification mass spectral library N-linked intact glycopeptides were analyzed LC-MS/MS. of N-linked intact glycopeptides was used for N-linked intact glycopeptide was to the of N-linked intact glycopeptides. spectral library search and target-decoy 526 N-linked glycoproteins were identified in serum 1036 N-linked glycosites, 22,677 N-linked intact glycopeptides and 738 N-glycan masses were identified under 1% FDR, representing the most in-depth serum N-glycoproteome identified by LC-MS/MS at intact N-linked glycopeptide and N-linked level. In this serum from and serum from were A of for of human serum is in the serum and portion of enriched N-linked intact glycopeptide was analyzed by LC-MS/MS for and N-linked intact glycopeptides N-linked intact portion of enriched N-linked intact glycopeptide was with F and analyzed by LC-MS/MS for and N-linked deglycopeptides N-linked serum proteins were separated into and protein in the and the by precipitation. in the and the were processed with and to generate N-linked intact glycopeptide portion of enriched N-linked intact glycopeptides was into by and analyzed by portion of enriched N-linked intact glycopeptide was with into by and analyzed by LC-MS/MS The LC-MS/MS data sets, N-linked intact glycopeptides and N-linked deglycopeptides with N-linked intact glycopeptides from and N-linked intact glycopeptides from with N-linked deglycopeptides from and deglycopeptides from The for the LC-MS/MS with for the is the of N-linked deglycopeptides identified LC-MS/MS is and the of N-linked deglycopeptides identified of in N-glycoproteome and the to the by and of identified N-linked intact glycopeptides LC-MS/MS is because a and serum a LC-MS/MS by for from the by from a a used to serum for for of to serum for Four and were in of these of serum of of the glycoproteins, is in a from was in this to the of N-linked of serum to and by LC-MS/MS in a from and the of N-linked glycoproteins, glycosites, intact and identified in the and and the of in the of serum N-linked of of N-linked in serum is in this method into and data is in the of this was and by the at of of Serum were from in at the of the were for were with and at for of serum from were used for glycopeptide and identification of from were used for from was from and human were from and were processed the used to generate N-linked deglycopeptides and N-linked intact glycopeptides. intact glycopeptides and intact glycopeptides were with human serum intact glycopeptides. 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In the of was to in to N-linked deglycopeptides. In of were the glycosites and N-glycan masses from these and the human serum data under of search were by and by false the database search from and from were as The were with 1% at the identified as and the were used to serum N-linked spectral In this regard, the of was and the with of the and and in the of because of the lack of containing the is to the in N-linked intact glycopeptide the have as the of false by of during data was masses into search the of method was The of and masses in the is a of data to recognize N-glycan masses and glycopeptides is in the human serum N-glycan method was used to at the for In the is the mass In the the target-decoy was for of of the of the and of a is the mass of the mass of the N-linked intact glycopeptide is to identification of the of a the identified the because and in database The mass by these as of a to identification of the have and into database the of N-linked intact glycopeptides with is to and the identification by this is the mass is and the mass the in the of the and to a mass to the the rate of mass by the masses and into the database for because of the of masses and the is the mass the of mass identification was to to the of human serum this is because is to mass into the masses were used for method of control. at the were in human serum of Serum and and is in to false by this identified is by database search in N-linked intact glycopeptide identification to this in N-linked intact glycopeptide identification and to in In the and data sets, identified deglycopeptides with into the spectral N-linked glycoproteins N-linked glycosites were identified with the of and of of Serum and and method was is this identified is from the motifs in of and by is in the and of disorders and to disorders of glycosylation serum glycoproteins in the method used for and is used as the to because of of disorders of glycosylation by of In the serum of with the of from was identified by In this is identified the glycosites of with the and method and of in a the identified a spectral library of glycopeptide constructed and to for to of of human and the of protein to and from The the of for a N-glycan the in with the of in the of the of in by in-depth of and the of to identification of N-glycan is a for of of serum The LC-MS/MS method for N-linked glycopeptide identification and construction was in human serum of of serum to for and of as as human The mass spectrometry data and data from glycoproteins as as serum with and and N-linked intact glycopeptide spectra have been to the the of the database and with the data The data was of protein glycosylation by of N-linked and and with the data The and for and at for during data and for in and data and for in and data and and for the and for with

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