Suchergebnisse - "MESH: Mass Spectrometry / methods"

Innovative analytical methodologies for characterizing chemical exposure with a view to next-generation risk assessment

Autoren: Tkalec, Žiga Antignac, Jean-Philippe Bandow, Nicole et al.

Weitere Verfasser: Tkalec, Žiga Antignac, Jean-Philippe Bandow, Nicole et al.

Quelle: ISSN: 0160-4120 ; Environment International ; https://hal.science/hal-04513053 ; Environment International, 2024, Environment International, 186, pp.108585. ⟨10.1016/j.envint.2024.108585⟩.

Schlagwörter: High-resolution mass spectrometry, Effect-based methods, Sampling strategies, Chemical exposure, Chemical risk assessment, Effect-directed analysis, MESH: Environmental Exposure* / analysis, MESH: Environmental Monitoring* / methods, MESH: Environmental Monitoring* / standards, MESH: Environmental Pollutants / analysis, MESH: Hazardous Substances / analysis, MESH: Humans, MESH: Mass Spectrometry / methods, MESH: Risk Assessment / methods, [SDV]Life Sciences [q-bio]

Relation: info:eu-repo/semantics/altIdentifier/pmid/38521044; info:eu-repo/grantAgreement//101057014/EU/European Partnership for the Assessment of Risks from Chemicals/PARC; PUBMED: 38521044; WOS: 001219495000001

Verfügbarkeit: https://hal.science/hal-04513053
https://hal.science/hal-04513053v1/document
https://hal.science/hal-04513053v1/file/Tkalec_2024.pdf
https://doi.org/10.1016/j.envint.2024.108585

Imputation of label-free quantitative mass spectrometry-based proteomics data using self-supervised deep learning

Autoren: Webel, Henry Niu, Lili Nielsen, Annelaura, Bach et al.

Weitere Verfasser: Webel, Henry Niu, Lili Nielsen, Annelaura, Bach et al.

Quelle: ISSN: 2041-1723.

Schlagwörter: MESH: Deep Learning, MESH: Humans, MESH: Male, MESH: Mass Spectrometry / methods, MESH: Proteomics / methods, MESH: Supervised Machine Learning, [SDV.SP]Life Sciences [q-bio]/Pharmaceutical sciences

Relation: info:eu-repo/semantics/altIdentifier/pmid/38926340; PUBMED: 38926340; PUBMEDCENTRAL: PMC11208500

Verfügbarkeit: https://ut3-toulouseinp.hal.science/hal-04743757
https://ut3-toulouseinp.hal.science/hal-04743757v1/document
https://ut3-toulouseinp.hal.science/hal-04743757v1/file/WEBEL_2023.pdf
https://doi.org/10.1038/s41467-024-48711-5

Metabolite Variations during the First Weeks of Growth of Immature Citrus sinensis and Citrus reticulata by Untargeted Liquid Chromatography–Mass Spectrometry/Mass Spectrometry Metabolomics

Autoren: Deschamps, Estelle Durand-Hulak, Marie Castagnos, Denis et al.

Weitere Verfasser: Deschamps, Estelle Durand-Hulak, Marie Castagnos, Denis et al.

Quelle: ISSN: 1420-3049 ; Molecules ; https://hal.inrae.fr/hal-04693541 ; Molecules, 2024, 29 (16), pp.3718. ⟨10.3390/molecules29163718⟩ ; https://www.mdpi.com/1420-3049/29/16/3718.

Schlagwörter: immature, Citrus sinensis, orange, Citrus reticulata, mandarin, metabolomics, Orbitrap, LC-MS/MS, variety discrimination, fruit development, MESH: Chromatography, Liquid / methods, MESH: Citrus sinensis* / growth & development, MESH: Metabolome, MESH: Metabolomics* / methods, MESH: Tandem Mass Spectrometry, MESH: Citrus sinensis* / metabolism, MESH: Citrus* / growth & development, MESH: Citrus* / metabolism, MESH: Fruit* / chemistry, MESH: Fruit* / growth & development, MESH: Fruit* / metabolism, MESH: Liquid Chromatography-Mass Spectrometry, MESH: Mass Spectrometry / methods, [SDV.SA.STA]Life Sciences [q-bio]/Agricultural sciences/Sciences and technics of agriculture

Relation: info:eu-repo/semantics/altIdentifier/pmid/39202798; info:eu-repo/grantAgreement//731077/EU/European Network of Fourier-Transform Ion-Cyclotron-Resonance Mass Spectrometry Centers/EU_FT-ICR_MS; PUBMED: 39202798; PUBMEDCENTRAL: PMC11357260; WOS: 001307051700001

Verfügbarkeit: https://hal.inrae.fr/hal-04693541
https://hal.inrae.fr/hal-04693541v1/document
https://hal.inrae.fr/hal-04693541v1/file/molecules-29-03718.pdf
https://doi.org/10.3390/molecules29163718

A comprehensive LFQ benchmark dataset on modern day acquisition strategies in proteomics

Autoren: van Puyvelde, Bart Daled, Simon Willems, Sander et al.

Weitere Verfasser: van Puyvelde, Bart Daled, Simon Willems, Sander et al.

Quelle: ISSN: 2052-4463.

Schlagwörter: MESH: Animals, MESH: Benchmarking, MESH: Chromatography, Liquid / methods, MESH: Humans, MESH: Mass Spectrometry / methods, MESH: Proteome, MESH: Proteomics, [SDV]Life Sciences [q-bio]

Relation: info:eu-repo/semantics/altIdentifier/pmid/35354825; PUBMED: 35354825; PUBMEDCENTRAL: PMC8967878

Verfügbarkeit: https://hal.science/hal-03766167
https://hal.science/hal-03766167v1/document
https://hal.science/hal-03766167v1/file/2022,%20Van%20Puyvelde%20et%20al,%20Sci%20Data.pdf
https://doi.org/10.1038/s41597-022-01216-6

Large-Scale SRM Screen of Urothelial Bladder Cancer Candidate Biomarkers in Urine

Autoren: François Radvanyi Kevin Demeure Mariette Matondo et al.

Weitere Verfasser: François Radvanyi Kevin Demeure Mariette Matondo et al.

Quelle: Journal of Proteome Research. 16:1617-1631

Schlagwörter: MESH: Carcinoma, Proteomics, 0301 basic medicine, targeted proteomics, [SDV]Life Sciences [q-bio], MESH: Urinary Bladder Neoplasms / urine, MESH: Urinary Bladder Neoplasms / pathology, MESH: Chromatography, Mass Spectrometry, Transitional Cell / pathology, large-scale SRM screen, 03 medical and health sciences, noninvasive, Biomarkers, Tumor, Tumor / genetics, Humans, Amino Acid Sequence, mass spectrometry, MESH: Proteomics, Carcinoma, Transitional Cell, 0303 health sciences, MESH: Humans, Transitional Cell / genetics, MESH: Amino Acid Sequence / genetics, Transitional Cell / urine, urine, 6. Clean water, 3. Good health, [SDV] Life Sciences [q-bio], Liquid / methods, Urinary Bladder Neoplasms, Tumor / urine, MESH: Biomarkers, candidate biomarkers, bladder cancer, MESH: Mass Spectrometry / methods, MESH: Urinary Bladder Neoplasms / genetics, Chromatography, Liquid

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/28287737
https://pubs.acs.org/doi/pdf/10.1021/acs.jproteome.6b00979
https://www.ncbi.nlm.nih.gov/pubmed/28287737
https://hal.archives-ouvertes.fr/hal-02095567
https://pubs.acs.org/doi/10.1021/acs.jproteome.6b00979
https://hal.science/hal-02095567v1
https://doi.org/10.1021/acs.jproteome.6b00979

Prediction of colorectal cancer diagnosis based on circulating plasma proteins

Autoren: Surinova, Silvia Choi, Meena Tao, Sha et al.

Weitere Verfasser: Surinova, Silvia Choi, Meena Tao, Sha et al.

Quelle: ISSN: 1757-4676.

Schlagwörter: discovery‐driven and targeted proteomics, diagnostic protein biomarker, colorectal cancer, MESH: Biomarkers, Tumor/blood, MESH: Clinical Laboratory Techniques/methods, MESH: Colorectal Neoplasms/diagnosis, MESH: Humans, MESH: Mass Spectrometry/methods, MESH: Plasma/chemistry, [SDV]Life Sciences [q-bio], [SDV.CAN]Life Sciences [q-bio]/Cancer, [SDV.BC]Life Sciences [q-bio]/Cellular Biology

Relation: info:eu-repo/semantics/altIdentifier/pmid/26253081; PUBMED: 26253081; PUBMEDCENTRAL: PMC4568950

Verfügbarkeit: https://pasteur.hal.science/pasteur-02573640
https://pasteur.hal.science/pasteur-02573640v1/document
https://pasteur.hal.science/pasteur-02573640v1/file/Prediction%20of%20colorectal%20cancer%20diagnosis%20based%20on%20circulating%20plasma%20proteins.pdf
https://doi.org/10.15252/emmm.201404873

A repository of assays to quantify 10,000 human proteins by SWATH-MS

Autoren: Rosenberger, George Koh, Ching Chiek Guo, Tiannan et al.

Weitere Verfasser: Rosenberger, George Koh, Ching Chiek Guo, Tiannan et al.

Quelle: ISSN: 2052-4463.

Schlagwörter: Proteomics, Systems biology, MESH: Databases, Protein, MESH: Humans, MESH: Mass Spectrometry / methods, MESH: Proteins / chemistry, MESH: Proteome* / chemistry, MESH: Proteomics / methods, [SDV]Life Sciences [q-bio], [SDV.BBM]Life Sciences [q-bio]/Biochemistry, Molecular Biology

Relation: info:eu-repo/semantics/altIdentifier/pmid/25977788; info:eu-repo/grantAgreement/EC/FP7/233226/EU/Proteomics v3.0: Development, Implementation and Dissemination of a Third Generation Proteomics Technology/PROTEOMICS V3.0; pasteur-02619322; https://hal-pasteur.archives-ouvertes.fr/pasteur-02619322; https://hal-pasteur.archives-ouvertes.fr/pasteur-02619322/document; https://hal-pasteur.archives-ouvertes.fr/pasteur-02619322/file/A%20repository%20of%20assays%20to%20quantify%2010,000%20human%20proteins%20by%20SWATH-MS.pdf; PUBMED: 25977788; PUBMEDCENTRAL: PMC4322573

Verfügbarkeit: https://hal-pasteur.archives-ouvertes.fr/pasteur-02619322
https://hal-pasteur.archives-ouvertes.fr/pasteur-02619322/document
https://hal-pasteur.archives-ouvertes.fr/pasteur-02619322/file/A%20repository%20of%20assays%20to%20quantify%2010,000%20human%20proteins%20by%20SWATH-MS.pdf
https://doi.org/10.1038/sdata.2014.31

Large-Scale SRM Screen of Urothelial Bladder Cancer Candidate Biomarkers in Urine

Autoren: Duriez, Elodie Masselon, Christophe Mesmin, Cédric et al.

Weitere Verfasser: Duriez, Elodie Masselon, Christophe Mesmin, Cédric et al.

Quelle: ISSN: 1535-3893.

Schlagwörter: bladder cancer, candidate biomarkers, large-scale SRM screen, mass spectrometry, noninvasive, targeted proteomics, urine, MESH: Amino Acid Sequence / genetics, MESH: Biomarkers, Tumor / genetics, MESH: Urinary Bladder Neoplasms / genetics, MESH: Urinary Bladder Neoplasms / pathology, MESH: Urinary Bladder Neoplasms / urine, Tumor / urine, MESH: Carcinoma, Transitional Cell / genetics, Transitional Cell / pathology, Transitional Cell / urine, MESH: Chromatography, Liquid / methods, MESH: Humans, MESH: Mass Spectrometry / methods, MESH: Proteomics, [SDV]Life Sciences [q-bio], envir, psy

Relation: https://hal.archives-ouvertes.fr/hal-02095567

Verfügbarkeit: https://hal.archives-ouvertes.fr/hal-02095567