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Vector Laboratories
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Thermo Fisher
alexa fluor 488 labeled lectins concanavalin a cona Alexa Fluor 488 Labeled Lectins Concanavalin A Cona, supplied by Thermo Fisher, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more https://www.bioz.com/result/alexa fluor 488 labeled lectins concanavalin a cona/product/Thermo Fisher Average 96 stars, based on 1 article reviews
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Thermo Fisher
concanavalin a cona lectin conjugated Concanavalin A Cona Lectin Conjugated, supplied by Thermo Fisher, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more https://www.bioz.com/result/concanavalin a cona lectin conjugated/product/Thermo Fisher Average 99 stars, based on 1 article reviews
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Vector Laboratories
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Vector Laboratories
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Seikagaku corporation
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Vector Laboratories
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Vector Laboratories
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Millipore
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Millipore
beads coupled to the lectin concanavalin a (cona, canavalia ensiformis, cat. no. 234568) ![]() Beads Coupled To The Lectin Concanavalin A (Cona, Canavalia Ensiformis, Cat. No. 234568), supplied by Millipore, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more https://www.bioz.com/result/beads coupled to the lectin concanavalin a (cona, canavalia ensiformis, cat. no. 234568)/product/Millipore Average 90 stars, based on 1 article reviews
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Journal: Journal of Extracellular Vesicles
Article Title: Proteomic Analysis of Extracellular Vesicles Identifies CDCP1 as Critical Metastasis‐Related Glycoprotein in Lung Cancer
doi: 10.1002/jev2.70128
Figure Lengend Snippet: EVs glycoprotein enrichment and proteomic analysis. (A) Workflow for proteome identification of EV total proteins and glycoproteins. (B) Principal component analysis of 95C and 95D EVs total proteins (T‐p) and glycoproteins (G‐p). (C) Venn diagram of EVs total proteins and glycoproteins. (D) Pearson correlation coefficient matrix plot of multiple groups. The correlation coefficient was represented by a color scheme from white (negative correlation) to blue (positive correlation). (E) The volcano plot represents the quantitative analysis of N‐glycoproteins in 95D EVs versus 95C EVs. Orange represents proteins that were at least 2‐fold upregulated ( p < 0.05); blue represents proteins that were at least 2‐fold downregulated ( p < 0.05). (F) Distribution plot of the number of N‐glycosylation sites of 95C and 95D EVs. (G‐I) Comparison of the ranking, relative quantity, and unique peptides of three typical glycoproteins before and after ConA enrichment. GO analysis (J) and KEGG pathway enrichment (K) of differentially expressed glycoproteins in EVs. BP, biological process; CC, cellular component; MF, molecular function.
Article Snippet: Briefly, for 1 mg EVs protein, 1 mL of
Techniques: Glycoproteomics, Comparison
Journal: ACS Omega
Article Title: Lipopolysaccharide Detection with Glycan-Specific Lectins—a Nonspecific Binding Approach Applied to Surface Plasmon Resonance
doi: 10.1021/acsomega.5c00867
Figure Lengend Snippet: Lectin detection profiles. A total of 12 plasmon shift values, measured after 15 min of immobilization, were recorded for each lectin, with the average and standard deviation values represented by each band in the graph. Each lectin is used to create the LPS profiles for each bacterial species injected at 100 μg/mL, as well as a PBS buffer blank reference. The lectins chosen are Concanavalin (ConA), Glycine max agglutinin (SBA), Triticum vulgaris agglutinin (WGA), Dolichos biflorus agglutinin (DBA), Ulex europaeus agglutinin (UEA I), Ricinus communis agglutinin (RCA), and Arachis hypogea agglutinin (PNA). These lectins will be referred by their abbreviation for the next figures to avoid unnecessary length in the legend.
Article Snippet:
Techniques: Standard Deviation, Injection
Journal: ACS Omega
Article Title: Lipopolysaccharide Detection with Glycan-Specific Lectins—a Nonspecific Binding Approach Applied to Surface Plasmon Resonance
doi: 10.1021/acsomega.5c00867
Figure Lengend Snippet: Feature importance coefficient. Each bar illustrates the mean importance coefficients for the 7 features associated with 7 lectins, calculated from 10 randomly selected train/test splits of the data set using a Random Forest model with 100 trees.
Article Snippet:
Techniques:
Journal: ACS Omega
Article Title: Lipopolysaccharide Detection with Glycan-Specific Lectins—a Nonspecific Binding Approach Applied to Surface Plasmon Resonance
doi: 10.1021/acsomega.5c00867
Figure Lengend Snippet: Feature reduction for RF and SVM machine learning models. The best-performing lectin set from the combination of increasing number of lectins (1 to 7, from left to right) is used in a 10 repeated 3-fold cross-validation to determine the accuracy for each model. Significant differences are assessed with a t -test ( p > 0.05). An asterisk indicates a distribution with a statistically significant difference in performance compared to a distribution without it.
Article Snippet:
Techniques:
Journal: ACS Omega
Article Title: Lipopolysaccharide Detection with Glycan-Specific Lectins—a Nonspecific Binding Approach Applied to Surface Plasmon Resonance
doi: 10.1021/acsomega.5c00867
Figure Lengend Snippet: Classification Report for Different Profile Lengths with the SVM Model
Article Snippet:
Techniques:
Journal: ACS Omega
Article Title: Lipopolysaccharide Detection with Glycan-Specific Lectins—a Nonspecific Binding Approach Applied to Surface Plasmon Resonance
doi: 10.1021/acsomega.5c00867
Figure Lengend Snippet: Classification Report for Different Profile Lengths with the RF Model
Article Snippet:
Techniques: