Journal:

Article Title: Identification of Differentially Secreted Biomarkers using LC-MS/MS in Isogenic Cell Lines Representing a Progression of Breast Cancer

doi: 10.1021/pr060629m

Figure Lengend Snippet: List of selected a secreted proteins observed across the MCF10 cell lines, documented by their position in the Mascot search list and the combined number of peptide matched in the combined search data b .

Article Snippet: Eight micrograms of total protein was resolved by SDS-PAGE and immunoblotted for LGAL3BP (galectin-3-binding protein), AACT (alpha-1-chymoantitrypsin), AAT (alpha-1-antitrypsin), SPARC (osteonectin) and MSLN (mesothelin).

Techniques:

Journal:

Article Title: Identification of Differentially Secreted Biomarkers using LC-MS/MS in Isogenic Cell Lines Representing a Progression of Breast Cancer

doi: 10.1021/pr060629m

Figure Lengend Snippet: The profile of the secreted proteome changes as the cells become progressively more aggressive. Conditioned serum free media from the cell lines was concentrated and the total protein estimated. Eight micrograms of total protein was resolved by SDS-PAGE and immunoblotted for LGAL3BP (galectin-3-binding protein), AACT (alpha-1-chymoantitrypsin), AAT (alpha-1-antitrypsin), SPARC (osteonectin) and MSLN (mesothelin). NS represents a non-specific band used to show equal loading.

Article Snippet: Eight micrograms of total protein was resolved by SDS-PAGE and immunoblotted for LGAL3BP (galectin-3-binding protein), AACT (alpha-1-chymoantitrypsin), AAT (alpha-1-antitrypsin), SPARC (osteonectin) and MSLN (mesothelin).

Techniques: SDS Page, Binding Assay

Journal: Biomolecules

Article Title: Multiplex Soluble Biomarker Analysis from Pleural Effusion

doi: 10.3390/biom10081113

Figure Lengend Snippet: Correlation between enzyme-linked immunosorbent assay (ELISA) and Luminex. ( A ) Correlation between shed Syndecan-1 (SDC-1) level in pleural effusion measured by ELISA and Luminex. ( B ) Correlation between VEGF level in pleural effusion measured by ELISA and Luminex. ( C ) Correlation between Mesothelin level in pleural effusion measured by ELISA and Luminex. Spearman correlation analysis was used to assess the correlation between these two immunoassays.

Article Snippet: The corresponding AUCs were 0.99, 0.97, 0.95, 0.94, 0.93, 0.84 and 0.83 for Galectin-1, NRG1-β1, Osteopontin, Mesothelin, shed SDC-1, VEGF and TIMP-1, respectively, whereas the AUCs were 0.75 and 0.56 for HGF and MMP-7, respectively.

Techniques: Enzyme-linked Immunosorbent Assay, Luminex

Journal: Biomolecules

Article Title: Multiplex Soluble Biomarker Analysis from Pleural Effusion

doi: 10.3390/biom10081113

Figure Lengend Snippet: Biomarker levels in pleural effusion of malignant pleural mesothelioma (MPM) patients compared to benign effusions (BE). ( A – H ) Levels of Galectin-1, Mesothelin, Osteopontin, shed SDC-1, VEGF, MMP-7, HGF and TIMP-1 are significantly higher in pleural effusion from malignant pleural mesothelioma (MPM) patients ( n = 42) comparing with benign (BE) patients ( n = 40). ( I ) Level of NRG1-β1 is significantly lower Significance was assessed by two-tailed t -test at p ≤ 0.05.

Article Snippet: The corresponding AUCs were 0.99, 0.97, 0.95, 0.94, 0.93, 0.84 and 0.83 for Galectin-1, NRG1-β1, Osteopontin, Mesothelin, shed SDC-1, VEGF and TIMP-1, respectively, whereas the AUCs were 0.75 and 0.56 for HGF and MMP-7, respectively.

Techniques: Biomarker Discovery, Two Tailed Test

Journal: Biomolecules

Article Title: Multiplex Soluble Biomarker Analysis from Pleural Effusion

doi: 10.3390/biom10081113

Figure Lengend Snippet: Different biomarkers for distinguishing malignant mesothelioma from metastatic adenocarcinoma patients. ( A , B ) Levels of Galectin-1 and Mesothelin are significantly higher in pleural effusion from malignant pleural mesothelioma (MPM) patients ( n = 42) compared with adenocarcinoma (AD) patients ( n = 36). ( C , D ) Levels of MMP-7 and shed SDC-1 are significantly lower in malignant pleural mesothelioma patients ( n = 42) compared with adenocarcinoma patients ( n = 36). Significance was assessed by two-tailed t -test at p ≤ 0.05.

Article Snippet: The corresponding AUCs were 0.99, 0.97, 0.95, 0.94, 0.93, 0.84 and 0.83 for Galectin-1, NRG1-β1, Osteopontin, Mesothelin, shed SDC-1, VEGF and TIMP-1, respectively, whereas the AUCs were 0.75 and 0.56 for HGF and MMP-7, respectively.

Techniques: Two Tailed Test

Journal: Biomolecules

Article Title: Multiplex Soluble Biomarker Analysis from Pleural Effusion

doi: 10.3390/biom10081113

Figure Lengend Snippet: Parameter estimates of logistic regression model. MMP-7 has higher predictive value for distinguishing malignant pleural mesothelioma from adenocarcinoma, based on estimate and p -value.

Article Snippet: The corresponding AUCs were 0.99, 0.97, 0.95, 0.94, 0.93, 0.84 and 0.83 for Galectin-1, NRG1-β1, Osteopontin, Mesothelin, shed SDC-1, VEGF and TIMP-1, respectively, whereas the AUCs were 0.75 and 0.56 for HGF and MMP-7, respectively.

Techniques:

Journal: Biomolecules

Article Title: Multiplex Soluble Biomarker Analysis from Pleural Effusion

doi: 10.3390/biom10081113

Figure Lengend Snippet: Correlation between shed SDC-1 and other biomarkers in all malignant cases. ( A ) Expression of shed SDC-1 was significantly and positively correlated with Angiopoietin-1 ( p = 0.004 and r = 0.3), whereas, shed SDC-1 expression was negatively correlated with Mesothelin ( p = 0.004 and r = −0.3) ( B ).

Article Snippet: The corresponding AUCs were 0.99, 0.97, 0.95, 0.94, 0.93, 0.84 and 0.83 for Galectin-1, NRG1-β1, Osteopontin, Mesothelin, shed SDC-1, VEGF and TIMP-1, respectively, whereas the AUCs were 0.75 and 0.56 for HGF and MMP-7, respectively.

Techniques: Expressing

Journal: Biomolecules

Article Title: Multiplex Soluble Biomarker Analysis from Pleural Effusion

doi: 10.3390/biom10081113

Figure Lengend Snippet: Diagnostic efficiency of individual biomarkers. Receiver operating characteristic (ROC) analysis showing the specificity and sensitivity for each individual angiogenesis related biomarkers. Area under the curve (AUC) values show that Galectin-1 (AUC = 0.99), NRG1-β1 (AUC = 0.97), Osteopontin (AUC = 0.95), Mesothelin (AUC = 0.94) and shed SDC-1(AUC = 0.93) have the most diagnostic value for malignant pleural mesothelioma.

Article Snippet: The corresponding AUCs were 0.99, 0.97, 0.95, 0.94, 0.93, 0.84 and 0.83 for Galectin-1, NRG1-β1, Osteopontin, Mesothelin, shed SDC-1, VEGF and TIMP-1, respectively, whereas the AUCs were 0.75 and 0.56 for HGF and MMP-7, respectively.

Techniques: Diagnostic Assay

Journal: EJNMMI Physics

Article Title: Anatomy-based correction of kidney PVE on \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$^{177}\text{Lu}$$\end{document} 177 Lu SPECT images

doi: 10.1186/s40658-024-00612-8

Figure Lengend Snippet: Illustration of kidney insert design and conception. A Manual segmentation of three kidney pairs from CT scans of patients referred for \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$^{68}$$\end{document} 68 Ga-DOTATOC PET/CT examination (3D-Slicer). B Modeling of a kidney filling and fixation system, along with a modular support tailored for the IEC phantom (Blender). C MSLA 3D printing of kidney inserts and associated fixation system using CHITUBOX slicer software and ELEGOO SATURN printer. D Final assembly of the IEC phantom incorporating the patient-derived kidney inserts

Article Snippet: Kidney and holder models were 3D printed using masked stereolithography (MSLA) 3D printers (SATURN, ELEGOO).

Techniques: Positron Emission Tomography-Computed Tomography, Software, Derivative Assay

Journal: MethodsX

Article Title: Micro-particle image velocimetry for blood flow in thick round glass micro-channels: Channel fabrication and velocity profile characterization

doi: 10.1016/j.mex.2023.102110

Figure Lengend Snippet:

Article Snippet: Resource availability: , Fabrication of the Microchips - Glass capillaries ( https://www.cmscientific.com/products/Heavy%20Wall%20Capillary ) - Dremel - Plastic tubing (Micro Medical Tubing, 95 durometer LDPE, 0.034" I"D" x 0.052" O"D", Scientific Commodities, Inc). - Elegoo Mars 2 Mono LCD MSLA 3D Printer - Plant based UV resin - Glass syringes - Optical glue ( https://www.edmundoptics.com/c/adhesives/644/# ) - IntelliRay 600 Shuttered UV Floodlight - Glycerol (99%) - SolidWorks or another 3D CAD program - Glass slides (1mm) and glass covers (no.1) - PLL-PEG ( https://susos.com/en/shop/pll20-g3-5-peg2/ ) Samples preparation and Image acquisition ( µPIV ) - Optiprep, (Sigma-Aldrich # D1556) - Phosphate buffered saline, PBS (Invitrogen™ # 003002) - Fluorescent particles (FluoroMax, Thermo Scientific, MA, USA) - µPIV: FlowMaster MITAS (LaVision) DaVis software (LaVision) Image processing - Matlab R2021 - Matlab function for the power fit is available under MIT license at https://www.mathworks.com/matlabcentral/fileexchange/122367.

Techniques: Software