Chun Shao’s research while affiliated with GlaxoSmithKline and other places

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Publications (16)


Figure 3. Interlaboratory reproducibility of NISTmAb Reference Peptide retention times. The observed retention times of 15 NISTmAb Reference Peptides were reported by participants. The interlaboratory standard deviation (s x ̅ ) in retention time was calculated for each peptide. Data points are summarized in Supplemental Table S2; the equation for s x ̅ is provided in Supplemental Appendix S1 (Section B).
Figure 4. Interlaboratory evaluation of NISTmAb Reference Peptide mass accuracy. The observed mass of each NISTmAb Reference Peptide was reported by participants for one injection. Absolute ppm values were calculated from the observed and theoretical masses of each peptide. The interlaboratory average |ppm| value (x ̿ ) for each peptide is noted by the "X", with error bars indicating the interlaboratory standard deviation (s x ̅ ). Data points are summarized in Supplemental Table S2; equations for x ̿ and s x ̅ are provided in Supplemental Appendix S1 (Section B).
Figure 6. Interlaboratory evaluation of NISTmAb Reference Peptide relative abundance. The relative abundance (RA) of each monitored attribute in the NISTmAb Reference digest was reported by each participant for one injection. The interlaboratory average relative abundance value (x ̿ ) for each attribute is noted by an "X", with error bars indicating the interlaboratory standard deviation (s x ̅ ). Data points are summarized in Supplemental Table S3; equations for x ̿ and s x ̅ are provided in Supplemental Appendix S1 (Section B). Note that error bar ranges for EEQYNSTYR +A2G2F, DTLMISR and GFYPSDIAVEWESNGQPENNYK are smaller than the boundaries of the "X" symbol marking the average.
Figure 8. Comparison of orthogonal methods for measuring relative abundance. (a) Glycopeptide relative abundance (RA) values derived from MAM are compared to glycan and glycopeptide RA values reported by Prien et al. (ref 32)* and De Leoz et al. (ref 33). † MAM = interlaboratory average RA of the top three glycopeptides as reported by participants or with outliers recalculated from raw data. 2-AB = intralaboratory average RA of glycans released by peptide N-glycosidase F (PNGase F), labeled with 2-aminobenzamide, and analyzed by HILIC-FLD (as calculated from Prien et al.). 2-AA = RA of a single analysis of glycans released by peptide N-glycosidase F (PNGase F), labeled with 2-aminobenzoic acid, and analyzed by HILIC-FLD-MS (as calculated from Prien et al.). Multimethod = interlaboratory median RA values as measured from various glycan forms (i.e., released glycans, glycopeptides, intact molecule, etc.) using multiple analytical methods (as calculated from De Leoz et al.). (b) Lys-loss relative abundance (RA) values derived from MAM are compared to those calculated from various methods reported by Michels et al. (ref 34). ‡ MAM = interlaboratory average RA of Lys-loss as reported by participants or with outliers recalculated from raw data. CEX-HPLC = cation exchange-high performance liquid chromatography, CZE = capillary zone electrophoresis, cIEF = capillary isoelectric focusing, ICIEF = imaged capillary isoelectric focusing. See Table S3 for summarized values. See Supplemental Appendix S1 (Section B) and Supplemental Appendix S2 for quantitative and statistical equations. *Adapted with permission from ref 32. Copyright 2015 American Chemical Society. † Adapted with permission from ref 33. under the Creative Commons Attribution License CC BY (https://creativecommons.org/licenses/by/4.0/). Copyright 2020 NIST. ‡ Adapted with permission from ref 34. Copyright 2015 American Chemical Society.
Attribute Analytics Performance Metrics from the MAM Consortium Interlaboratory Study
  • Article
  • Full-text available

August 2022

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138 Reads

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8 Citations

Journal of the American Society for Mass Spectrometry

Trina Mouchahoir

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Rich Rogers

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Hua Yuan

The multi-attribute method (MAM) was conceived as a single assay to potentially replace multiple single-attribute assays that have long been used in process development and quality control (QC) for protein therapeutics. MAM is rooted in traditional peptide mapping methods; it leverages mass spectrometry (MS) detection for confident identification and quantitation of many types of protein attributes that may be targeted for monitoring. While MAM has been widely explored across the industry, it has yet to gain a strong foothold within QC laboratories as a replacement method for established orthogonal platforms. Members of the MAM consortium recently undertook an interlaboratory study to evaluate the industry-wide status of MAM. Here we present the results of this study as they pertain to the targeted attribute analytics component of MAM, including investigation into the sources of variability between laboratories and comparison of MAM data to orthogonal methods. These results are made available with an eye toward aiding the community in further optimizing the method to enable its more frequent use in the QC environment.

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FIG. 3. Collagen hydroxyprolination. Density plot showing proline hydroxylation of collagen peptides for GBM versus control (left). The x-axis shows the percentage of proline residues that are hydroxylated, and the y axis shows arbitrary units of density. The bar plots (right) show logtransformed normalized abundances for HPRO peptides for collagen proteins. Eight collagen proteins were significantly different in GBM versus control (*p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001). The normalized log-transformed abundances were corrected for multiple comparisons. GBM, glioblastoma.
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In-Depth Matrisome and Glycoproteomic Analysis of Human Brain Glioblastoma Versus Control Tissue

February 2022

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89 Reads

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36 Citations

Molecular & Cellular Proteomics

Glioblastoma (GBM) is the most common and malignant primary brain tumor. The extracellular matrix (ECM), also known as the matrisome, helps determine glioma invasion, adhesion, and growth. Little attention, however, has been paid to glycosylation of the ECM components that constitute the majority of glycosylated protein mass and presumed biological properties. To acquire a comprehensive understanding of the biological functions of the matrisome and its components, including proteoglycans and glycosaminoglycans (GAGs), in GBM tumorigenesis, and to identify potential biomarker candidates, we studied the alterations of GAGs, including heparan sulfate (HS) and chondroitin sulfate (CS), the core proteins of proteoglycans, and other glycosylated matrisomal proteins in GBM subtypes vs. control human brain tissue samples. We scrutinized the proteomics data to acquire in-depth site-specific glycoproteomic profiles of the GBM subtypes that will assist in identifying specific glycosylation changes in GBM. We observed an increase in CS 6-O sulfation and a decrease in HS 6-O sulfation, accompanied by an increase in unsulfated CS and HS disaccharides in GBM vs. control samples. Several core matrisome proteins, including proteoglycans (decorin, biglycan, agrin, prolargin, glypican-1, CSPG4), tenascin, fibronectin, hyaluronan link protein 1 and 2, laminins, and collagens, were differentially regulated in GBM vs. controls. Interestingly, a higher degree of collagen hydroxyprolination was also observed for GBM vs. controls. Further, two proteoglycans, CSPG4, and agrin were significantly lower, about 6-fold for IDH-mutant, compared to the WT GBM samples. Differential regulation of O-glycopeptides for proteoglycans, including brevican, neurocan, and versican, was observed for GBM subtypes vs. controls. Moreover, an increase in levels of glycosyltransferase and glycosidase enzymes was observed for GBM when compared to control samples. We also report distinct protein, peptide, and glycopeptide features for GBM subtypes comparisons. Taken together, our study informs understanding of the alterations to key matrisomal molecules that occur during GBM development. (Data are available via ProteomeXchange with identifier PXD028931, and the peaks project file is available at Zenodo with DOI 10.5281/zenodo.5911810).


Selective Inhibition of Heparan Sulphate and Not Chondroitin Sulphate Biosynthesis by a Small, Soluble Competitive Inhibitor

June 2021

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75 Reads

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7 Citations

The glycosaminoglycan, heparan sulphate (HS), orchestrates many developmental processes. Yet its biological role has not yet fully been elucidated. Small molecule chemical inhibitors can be used to perturb HS function and these compounds provide cheap alternatives to genetic manipulation methods. However, existing chemical inhibition methods for HS also interfere with chondroitin sulphate (CS), complicating data interpretation of HS function. Herein, a simple method for the selective inhibition of HS biosynthesis is described. Using endogenous metabolic sugar pathways, Ac4GalNAz produces UDP-GlcNAz, which can target HS synthesis. Cell treatment with Ac4GalNAz resulted in defective chain elongation of the polymer and decreased HS expression. Conversely, no adverse effect on CS production was observed. The inhibition was transient and dose-dependent, affording rescue of HS expression after removal of the unnatural azido sugar. The utility of inhibition is demonstrated in cell culture and in whole organisms, demonstrating that this small molecule can be used as a tool for HS inhibition in biological systems.


Figure 1. Schematic of biological azido sugar precursor production for GAG synthesis. Ac4GalNAz travels across the cell membrane and enters the cytoplasm. Endogenous deacetylases remove the acetyl protective groups leaving GalNAz, ready to enter the GalNAc salvage pathway. After a cascade of enzymes, both UDP-GalNAz and UDP-GlcNAz are produced, which target CS/DS and potentially HS biosynthesis respectively.
Figure 2. Flow cytometric analysis of Ac4GalNAz-treated CHOs. Cells were treated with 7-35 µM Ac4GalNAz for 24-48 hours, or for the first 24 hours, then 24 hours without Ac4GalNAz (24h rescue) and analysed for cell surface anti-HS (10E4) reactivity. Purple infilled, antibody control. Green trace, Ac4GalNAz-treated cells. Inset, experimental controls: purple infilled, antibody control; green trace, vehicle-treated; pink trace, untreated.
Figure 3 (A) Total relative abundance of HS from cell extracted samples. (B) Percentage chemical modification contribution of HS and (C) percentage contribution of HS disaccharide species after RP-HPLC separation of 2-AMAC-tagged HS. Error bars represent SEM of N=3 independent experiments. *p≤0.05, **p≤0.01, student's t test (two tailed).
Selective Inhibition of Heparan Sulphate and Not Chondroitin Sulphate by a Small, Soluble Competitive Inhibitor

May 2021

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44 Reads

The glycosaminoglycan, heparan sulphate (HS), orchestrates many developmental processes. Yet its biological role has not yet fully been elucidated. Small molecule chemical inhibitors can be used to perturb HS function and these compounds pro-vide cheap alternatives to genetic manipulation methods. However, existing chemical inhibition methods for HS also interfere with chondroitin sulphate (CS), complicating data interpretation of HS function. Herein, a simple method for the selective inhibition of HS biosynthesis is described. Using endogenous metabolic sugar pathways, Ac4GalNAz produces UDP-GlcNAz, which can target HS synthesis. Cell treatment with Ac4GalNAz resulted in defective chain elongation of the polymer and decreased HS expression. Conversely, no adverse effect on CS production was observed. The inhibition was transient and dose-dependent, affording rescue of HS expression after removal of the unnatural azido sugar. The utility of inhibition is demonstrated in cell culture and in whole or-ganisms, demonstrating that this small molecule can be used as a tool for HS inhibition in biological systems.


Figure 1. Interlaboratory retention time repeatability and reproducibility of Calibration Sample peptides. The observed retention times of each Calibration Sample peptide were reported by participants for three injections. Repeatability (s r ) and reproducibility (s R ) standard deviations were calculated for each peptide. Data points are summarized in Supplemental Table S3; equations for s r and s R are provided in Supplemental Appendix S3, Section A.
Figure 2. Interlaboratory evaluation of Calibration Sample peptide mass accuracy. The observed masses of each Calibration Sample peptide were reported by participants for one injection. Absolute ppm values were calculated from the observed and theoretical masses of each peptide. The interlaboratory average |ppm| value (x ̿ ) for each peptide is noted by the "×", with an error bar indicating the interlaboratory standard deviation (s x ̅ ). Data points are summarized in Supplemental Table S3; equations for x ̿ and s x ̅ are provided in Supplemental Appendix S3, Section B.
Figure 4. Peptides reported as new, missing, or changed in Spike Sample. Participants performed NPD by comparing the Spike Sample to the Reference Sample and reported peaks that were considered new, missing, or changed in abundance. The number of peaks reported by each participant is shown and categorized according to the type of species represented: Spike Peptide; modified Spike Peptide (e.g. Spike Peptide with deamidation, isomerization, dehydration, ammonia-loss); Spike Peptide impurity (e.g., Spike Peptide with additional residue, truncated Spike Peptide); NISTmAb peptide; unidentified species; or contaminant. Categories in blue represent results that conform to expectation, categories in red represent non-conforming results (see main text for further discussion regarding conformity of results). See also Supplemental Table S4 and Supplemental Table S5 for a full list of reported peaks; and Supplemental Appendix S4, Sections B and C(1), for a description of the data processing methods.
Figure 7. Peptides reported as new, missing, or changed in pH Stress Sample. Participants performed NPD by comparing the pH Stress Sample to the Reference Sample and reported peaks that were considered new, missing, or changed. The number of peaks reported by each participant is shown and categorized according to the type of relative change observed (new/increased or missing/decreased). See also Supplemental Table S8 for a full list of reported peaks and Supplemental Appendix S4, Sections B and C(1), for a description of the data processing methods.
New Peak Detection Performance Metrics from the MAM Consortium Interlaboratory Study

March 2021

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278 Reads

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33 Citations

Journal of the American Society for Mass Spectrometry

The Multi-Attribute Method (MAM) Consortium was initially formed as a venue to harmonize best practices, share experiences, and generate innovative methodologies to facilitate widespread integration of the MAM platform, which is an emerging ultra-high-performance liquid chromatography–mass spectrometry application. Successful implementation of MAM as a purity-indicating assay requires new peak detection (NPD) of potential process- and/or product-related impurities. The NPD interlaboratory study described herein was carried out by the MAM Consortium to report on the industry-wide performance of NPD using predigested samples of the NISTmAb Reference Material 8671. Results from 28 participating laboratories show that the NPD parameters being utilized across the industry are representative of high-resolution MS performance capabilities. Certain elements of NPD, including common sources of variability in the number of new peaks detected, that are critical to the performance of the purity function of MAM were identified in this study and are reported here as a means to further refine the methodology and accelerate adoption into manufacturer-specific protein therapeutic product life cycles.


Briefly, glycans were cleaved by incubating
lists all the quantified and derived values for NISTmAb and mod-NISTmAb for glycan compositions and glycan structures. 24 Independent of this study,
Community's consensus abundances of glycans in NISTmAb PS 8670 reported by laboratories at least six times. Glycan compositions are arranged by decreasing number of values (N). Supplementary Table 2 lists all glycan structures and names. Supplementary Table 3 lists all the community's consensus values.
Derived attribute quantities for NISTmAb PS 8670, estimated from the consensus median values of the glycan compositions.
NIST Interlaboratory Study on Glycosylation Analysis of Monoclonal Antibodies: Comparison of Results from Diverse Analytical Methods

October 2019

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1,420 Reads

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101 Citations

Molecular & Cellular Proteomics

Glycosylation is a topic of intense current interest in the development of biopharmaceuticals since it is related to drug safety and efficacy. This work describes results of an interlaboratory study on the glycosylation of the Primary Sample (PS) of NISTmAb, a monoclonal antibody reference material. Seventy‑six laboratories from industry, university, research, government, and hospital sectors in Europe, North America, Asia, and Australia submitted a total of 103 reports on glycan distributions. The principal objective of this study was to report and compare results for the full range of analytical methods presently used in the glycosylation analysis of mAbs. Therefore, participation was unrestricted, with laboratories choosing their own measurement techniques. Protein glycosylation was determined in various ways, including at the level of intact mAb, protein fragments, glycopeptides, or released glycans, using a wide variety of methods for derivatization, separation, identification, and quantification. Consequently, the diversity of results was enormous, with the number of glycan compositions identified by each laboratory ranging from 4 to 48. In total, one hundred sixteen glycan compositions were reported, of which 57 compositions could be assigned consensus abundance values. These consensus medians provide community-derived values for NISTmAb PS. Agreement with the consensus medians did not depend on the specific method or laboratory type.. The study provides a view of the current state-of-the-art for biologic glycosylation measurement and suggests a clear need for harmonization of glycosylation analysis methods.


Pairwise Comparisons of Intra-Individual Gaping and Intact Samples intact samples (n = 10) (μg/mg dried tissue) Gaping samples (n = 10) (μg/mg dried tissue)
HS Measurements and Comparisons of Amounts Detected, Chain Length, and Sulfation Degree
Characterization of Glycosaminoglycans in Gaping and Intact Connective Tissues of Farmed Atlantic Salmon (Salmo salar) Fillets by Mass Spectrometry

September 2019

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214 Reads

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12 Citations

ACS Omega

In the Atlantic salmon (Salmo salar) aquaculture industry, gaping (the separation of muscle bundles from the connective tissue) is a major quality problem. This study characterized chondroitin sulfate (CS) and heparan sulfate (HS) in the connective tissue of intact and gaping salmon fillets from 30 salmon by mass spectrometry. Statistical difference was detected between gaping and intact tissues only when comparing pairwise samples from the same individual (n = 10). The gaping tissue had a lower content of monosulfated CS disaccharides (p = 0.027), and the relative distribution of CS disaccharides was significantly different (p < 0.05). The HS chains were short (average = 14.09, SD = 4.91), and the intact tissue seemed to have a more uniform HS chain structure compared to the gaping tissue. Time-series samples from the same individuals are recommended for future research to improve the understanding of reasons and implications of these differences.


Glycomic and Proteomic Changes in Aging Brain Nigrostriatal Pathway

June 2018

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239 Reads

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37 Citations

Molecular & Cellular Proteomics

Parkinson's disease (PD) is a neurological disorder characterized by the progressive loss of functional dopaminergic neurons in the nigrostriatal pathway in the brain. While current treatments provide only symptomatic relief, gene therapy has the potential to slow or halt the degeneration of nigrostriatal dopamine neurons in PD patients. Adeno-associated viruses (AAV) are vectors of choice in gene therapy due to their well-characterized safety and efficacy profiles; however, while gene therapy has been successful in preclinical models of the disease, clinical trials in humans have failed to demonstrate efficacy. Significantly, all primary AAV receptors of the virus are glycans. We thus hypothesize that age related changes in glycan receptors of heparan sulfate (HS) proteoglycans (receptor for rAAV2), and/or N-glycans with terminal galactose (receptor for rAAV9) results in poor adeno-associated virus binding in either the striatum or substantia nigra, or both, affecting transduction and gene delivery. To test our hypothesis we analyzed the striatum and substantia nigra for changes in HS, N-glycans and proteomic signatures in young versus aged rat brain striatum and substantia nigra.We observed different brain region-specific HS disaccharide profiles in aged compared to young adult rats for brain region-specific profiles in striatum versus substantia nigra. We observed brain region- and age-specific N-glycan compositional profiles with respect to the terminal galactose units that serve as receptors for AAV9. We also observed brain region-specific changes in protein expression in the aging nigrostriatal pathway. These studies provide insight into age- and brain region-specific changes in glycan receptors and proteome that will inform design of improved viral vectors for PD gene therapy.


Complete Molecular Weight Profiling of Low Molecular Weight Heparins Using Size Exclusion Chromatography-Ion Suppressor-High Resolution Mass Spectrometry

October 2016

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192 Reads

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28 Citations

Analytical Chemistry

Low molecular weight heparins (LMWH) prepared by partial depolymerization of unfractionated heparin are used globally to treat coagulation disorders on an outpatient basis. Patent protection for several LMWH has expired and abbreviated new drug applications have been approved by the Food and Drug Administration. As a result, reverse engineering of LMWH for biosimilar LMWH has become an active global endeavor. Traditionally, the molecular weight distributions of LMWH preparations have been determined using size exclusion chromatography (SEC) with optical detection. Recent advances in liquid chromatography-mass spectrometry methods have enabled exact mass measurements of heparin saccharides roughly up to degree-of-polymerization 20, leaving the high molecular weight half of the LMWH preparation unassigned. We demonstrate a new LC-MS system capable of determining the exact masses of complete LMWH preparations, up to dp30. This system employed an ion suppressor cell to desalt the chromatographic effluent on-line prior to the electrospray mass spectrometry source. We expect this new capability will impact the ability to define LMWH mixtures favorably.


Figure 1: 4-O-Sulfated CS disaccharides identified by RPIP-HPLC in C. elegans GAG preparations.: (a) Distribution of C. elegans GAGs was tested in a pilot experiment: The sample was first adjusted to 0.2 M NaCl and applied to a DEAE column (referred to as high affinity sample). Unbound material was collected, diluted to 0.1 M NaCl and applied to a new DEAE column (low affinity sample). Both columns were subsequently eluted with increasing amounts of NaCl (indicated as grey bars) and total HS and CS recovered were determined by disaccharide analysis on RPIP-HPLC. (b) RPIP-HPLC analysis of HS disaccharides from the high affinity fractions of control animals and hst-6 hst-2 animals (n = 5). The abbreviations used are based on the disaccharide structural code28 and refer to the following structures: D0A0 ΔHexA-GlcNAc, D0S0 ΔHexA-GlcNS, D0A6 ΔHexA-GlcNAc6S, D2A0 ΔHexA2S-GlcNAc, D0S6 ΔHexA-GlcNS6S, D2S0 ΔHexA2S-GlcNS, D2A6 ΔHexA2S-GlcNAc6S, D2S6 ΔHexA2S-GlcNS6S. (c) Total sulfation calculated from the results shown in (b) (n = 5). Loss of HS-2-O-sulfation (2S) and HS-6-O-sulfation (6S) were accompanied by increased HS-N-sulfation (NS) in the mutant animals. Total sulfation was not altered. (d) RPIP-HPLC analysis of CS disaccharides from the low and high affinity fractions of control and hst-6 hst-2 animals. The abbreviations used are based on the disaccharide structural code28 and refer to the following structures: D0a0 ΔHexA-GalNAc, D0a4 ΔHexA-GalNAc4S. 4-O-sulfated CS disaccharides (D0a4) were significantly increased in high affinity fractions of hst-6 hst-2 animals compared to low affinity fractions while control animals showed no difference between the fractions (n = 4 for control animals, n = 5 for hst-6 hst-2 animals). (e) The composition of total GAGs (total HS, D0a4 and D0a0) was calculated in control and hst-6 hst-2 animals (n = 3). Results are presented as mean values, error bars demarcate standard error of mean (SEM), p-values were calculated by one-tailed Mann-Whitney test.
Figure 2: Presence of CS disaccharides confirmed by SEC LC-MS/MS.: (a) Extracted ion chromatogram of the mono-sulfated disaccharide (m/z 458.006 to 458.316) shows elution between 85 and 90 min, similar to commercial standards. The inset shows quantification of non-sulfated as well as mono-sulfated disaccharides (D0a4 or D0a6 (ΔHexA-GalNAc6S)) in hst-6 hst-2 samples (n = 3). Mono-sulfated disaccharides were increased while non-sulfated disaccharides were decreased in high affinity fractions (calculated by one-tailed Mann-Whitney test). (b) MS/MS for m/z 458 from 85 min to 90 min. Based on the equation of a standard curve calculated for D0a4 and D0a6 mixtures, 76% of the disaccharides in this experiment were estimated to be D0a4 and 24% D0a6. Quantitation from two independent MS/MS experiments using hst-6 hst-2 samples is shown in the inset. All data points are shown, with the mean indicated.
Figure 3: CS distribution during different stages of C. elegans.: (a) Incubation of mixed larval and adult stages of hst-6 hst-2 animals with the CS-specific antibody CS-56 results in strong staining especially of the cuticle (white arrowhead). CSase ABC treatment prior to antibody detection reduces staining. (b) Embryos of hst-6 hst-2 animals show a strong overall staining (white arrow) with the CS-56 antibody, which can be reduced by CSase ABC treatment. Note that the level of CS-56 signal after CSase ABC treatment varied more for embryos than for later stages. (c) Quantification of fluorescent signal intensity from CS-56 staining of mixed adult and larval stages. Values are normalized to DAPI and corrected for non-specific staining. Data from three independent experiments (in total 42 CSase ABC treated worms and 41 untreated worms) are presented as mean values, error bars demarcate SEM, p-value was calculated by one-tailed Mann-Whitney test. (d) Confocal images of adult control animals show strong CS-56 staining (red) in the cuticle (white arrowhead), especially in the alae (white arrow head and enlargement of the indicated area), which is greatly reduced by treatment with CSase (white arrow). DAPI staining (blue) indicates the animals’ outlines. Scale bars in all pictures demarcate 100 μm.
Figure 4: C41C4.1 shows sulfotransferase activity in vivo and in vitro.: (a) Multiple sequence alignment constructed with ClustalX 2.1 using the C. elegans C41C4.1 protein sequence together with human CHST8 - CHST14 and HS3ST1, GH21880p2 from Drosophila melanogaster and predicted CHST9 from Bactrocera dorsalis. The predicted transmembrane domain of C41C4.1 as well as its 5′- and 3′-PAPS binding site based on the HNK-1 (CHST10) sequence30 are marked with a dashed line. The N-terminal sequences of human CHST8 and CHST9 were truncated during the alignment preparation. (b) CS disaccharides from embryonic stages of animals lacking C41C4.1 (blue bars) contain less 4-O-sulfate groups but show significantly increased 6-O-sulfation while the total sulfation is not markedly affected (n = 3). Results are presented as mean values, error bars demarcate SEM, p-values were calculated by one-tailed Mann-Whitney test. (c) In vitro CS sulfotransferase activity assay: HEK293 cells stably expressing C41C4.1 or empty pcDNA3.1 vector (control) were lysed and protein was purified as described in Methods. H2O served as an additional negative control while unfractionated HEK293 lysate, containing endogenous sulfotransferases, served as positive control. The amount of 35S-radioactivity detected in each fraction after separation on a LMW Superdex gel chromatography column is shown, with V0 and Vt indicated along with the elution position of polysaccharide substrate, PAPS and free sulfate. The insert is a blow-up of the eluted 35S-labeled polysaccharide substrate, showing increased 35S-incorporation after incubation with the purified C41C4.1 enzyme compared to the empty vector and H2O controls.
Nematodes join the family of chondroitin sulfate-synthesizing organisms: Identification of an active chondroitin sulfotransferase in Caenorhabditis elegans

October 2016

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160 Reads

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18 Citations

Proteoglycans are proteins that carry sulfated glycosaminoglycans (GAGs). They help form and maintain morphogen gradients, guiding cell migration and differentiation during animal development. While no sulfated GAGs have been found in marine sponges, chondroitin sulfate (CS) and heparan sulfate (HS) have been identified in Cnidarians, Lophotrocozoans and Ecdysozoans. The general view that nematodes such as Caenorhabditis elegans, which belong to Ecdysozoa, produce HS but only chondroitin without sulfation has therefore been puzzling. We have analyzed GAGs in C. elegans using reversed-phase ion-pairing HPLC, mass spectrometry and immunohistochemistry. Our analyses included wild type C. elegans but also a mutant lacking two HS sulfotransferases (hst-6 hst-2), as we suspected that the altered HS structure could boost CS sulfation. We could indeed detect sulfated CS in both wild type and mutant nematodes. While 4-O-sulfation of galactosamine dominated, we also detected 6-O-sulfated galactosamine residues. Finally, we identified the product of the gene C41C4.1 as a C. elegans CS-sulfotransferase and renamed it chst-1 (CarboHydrate SulfoTransferase) based on loss of CS-4-O-sulfation in a C41C4.1 mutant and in vitro sulfotransferase activity of recombinant C41C4.1 protein. We conclude that C. elegans indeed manufactures CS, making this widely used nematode an interesting model for developmental studies involving CS.


Citations (14)


... This, in combination with targeted MS analysis and automated data treatment, would enable CFT-MS or CBT-MS to be more amenable to moving beyond the research laboratory. Similarly, the use of mass spectrometry-based workflows in the GMP/QC space has already been evaluated with therapeutic proteins using multi-attribute method (MAM) [38][39][40][41] . ...

Reference:

Functionality and translation fidelity characterization of mRNA vaccines using platform based mass spectrometry detection
Attribute Analytics Performance Metrics from the MAM Consortium Interlaboratory Study

Journal of the American Society for Mass Spectrometry

... The human agrin gene is located on chromosome 1 region pter-p32 (Rupp et al. 1992). Numerous research studies have documented increased levels of AGRN expression in various cancer types, including glioblastoma (Sethi et al. 2022) non-small cell lung cancer (NSCLC) (Han et al. 2022) lung adenocarcinoma (LUAD) (Zhang et al. 2023) as well as its involvement in tumor-promoting signalling pathways (Tian et al. 2020). Previous research findings have unequivocally demonstrated the pivotal oncogenic role of AGRN, underscoring its increased expression across various cancer types (Adamiok-Ostrowska et al., 2023;Chakraborty et al. 2015). ...

In-Depth Matrisome and Glycoproteomic Analysis of Human Brain Glioblastoma Versus Control Tissue

Molecular & Cellular Proteomics

... Similarly, the upregulated activity of chondroitin/heparan sulfate biosynthesis in the M1 model can also be linked to the proinflammatory responses. The formation of heparan sulfate is a crucial step for the recruitment, adhesion, crawling, and transmigration of leukocytes from the circulation to the site of inflammation [47][48][49] . On the other hand, increased heparan sulphate (HS) degradation was observed in the M2 model. ...

Selective Inhibition of Heparan Sulphate and Not Chondroitin Sulphate Biosynthesis by a Small, Soluble Competitive Inhibitor

... [16][17][18][19][20][21][22][23] Although there has been technical and logistical progress using the multi-attribute method, implementation in commercial good manufacturing practice (GMP) labs is currently limited. 16,[24][25][26][27][28][29][30] Alternative MAM approaches using MS in QC have also been designed and implemented. [31][32][33][34][35] We recently presented a targeted MAM method using the QDa mass spectrometer that was covalidated across 6 labs worldwide to monitor several productspecific CQAs and determine the identity of a bispecific antibody. ...

New Peak Detection Performance Metrics from the MAM Consortium Interlaboratory Study

Journal of the American Society for Mass Spectrometry

... The NISTmAb IgG, like most recombinant monoclonal antibodies, contains an N-linked glycan on the Fc region [18,19]. N-glycan profiles can be influenced by the parental cell line, clonespecific factors, and cell culture conditions [20]; therefore, we quantified the relative proportions of the most abundant N-glycan forms as an initial screening assessment. ...

NIST Interlaboratory Study on Glycosylation Analysis of Monoclonal Antibodies: Comparison of Results from Diverse Analytical Methods

Molecular & Cellular Proteomics

... 4 Many studies have demonstrated that breakdown of IMCTs could result in their loss of ability to connect muscle fibers together, leading to the breakdown of structural integrity in fillets. 6,7 The disintegration of collagen fibers was in accordance with textural deterioration of fish flesh. 7 Therefore, the change of flesh in apparent and mechanical properties might be tightly connected with the breakdown of collagen fibers. ...

Characterization of Glycosaminoglycans in Gaping and Intact Connective Tissues of Farmed Atlantic Salmon (Salmo salar) Fillets by Mass Spectrometry

ACS Omega

... Scanty data report quantitative differences of HS in aging brain. For instance, HS amount decreased considerably in aged rat striatum, with no structural differences [38]. These observations open several questions, for instance if CS/DS decrease with aging is due to reduced synthesis or elevated catabolism. ...

Glycomic and Proteomic Changes in Aging Brain Nigrostriatal Pathway

Molecular & Cellular Proteomics

... HILIC 19,20 offers lower chromatographic resolution than RPIP and can also be hard to detect by UV and shows poor chromatographic stability. Although SEC 21,22 shows poor resolution, it gives good chromatographic stability and is friendly to UV and MS detection. Moreover, SEC is one of the most normative chromatography methods, and its chromatographic behavior is very predictable. ...

Complete Molecular Weight Profiling of Low Molecular Weight Heparins Using Size Exclusion Chromatography-Ion Suppressor-High Resolution Mass Spectrometry

Analytical Chemistry

... Mutations or RNAi depletion of the nematode chondroitin synthase gene are proposed to decrease chondroitin hydration activity controlling tissue osmotic pressure (structural role) and/or disrupt cell signaling (Hwang et al., 2003;Mizuguchi et al., 2003). Although the presence of CS in C. elegans has been controversial, several studies detected different sulfoforms in the worms (Schimpf et al., 1999;Beeber and Kieras, 2002;Dierker et al., 2016). Recently, the first CS sulfotransferase enzyme has also been characterized in C. elegans, CHST-1 ( Table 1) (Dierker et al., 2016), suggesting that sulfate CS has a biological role also in nematodes. ...

Nematodes join the family of chondroitin sulfate-synthesizing organisms: Identification of an active chondroitin sulfotransferase in Caenorhabditis elegans

... NRI is the oldest screening tool and was initially described by Buzby et al. to investigate the relationship between malnutrition and surgical outcomes [18]. A correlation has also been found between this nutritional risk scale and hospital stay, thus impacting hospitalization costs [19,20]. ...

Effects of restoring normoglycemia in type 1 diabetes on inflammatory profile and renal extracellular matrix structure after simultaneous pancreas and kidney transplantation
  • Citing Article
  • October 2014

Diabetes Research and Clinical Practice