 Connection
Angelo D'Alessandro to Mass Spectrometry
This is a "connection" page, showing publications Angelo D'Alessandro has written about Mass Spectrometry.
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Connection Strength |
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3.478 |
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Nemkov T, Reisz JA, Gehrke S, Hansen KC, D'Alessandro A. High-Throughput Metabolomics: Isocratic and Gradient Mass Spectrometry-Based Methods. Methods Mol Biol. 2019; 1978:13-26.
Score: 0.471
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D'Alessandro A, Dzieciatkowska M, Peltz ED, Moore EE, Jordan JR, Silliman CC, Banerjee A, Hansen KC. Dynamic changes in rat mesenteric lymph proteins following trauma using label-free mass spectrometry. Shock. 2014 Dec; 42(6):509-17.
Score: 0.355
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D'Alessandro A, Federica G, Palini S, Bulletti C, Zolla L. A mass spectrometry-based targeted metabolomics strategy of human blastocoele fluid: a promising tool in fertility research. Mol Biosyst. 2012 Apr; 8(4):953-8.
Score: 0.286
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D'Alessandro A, Thomas KA, Stefanoni D, Gamboni F, Shea SM, Reisz JA, Spinella PC. Metabolic phenotypes of standard and cold-stored platelets. Transfusion. 2020 06; 60 Suppl 3:S96-S106.
Score: 0.126
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Moore HB, Culp-Hill R, Reisz JA, Lawson PJ, Sauaia A, Schulick RD, Del Chiaro M, Nydam TL, Moore EE, Hansen KC, D'Alessandro A. The metabolic time line of pancreatic cancer: Opportunities to improve early detection of adenocarcinoma. Am J Surg. 2019 12; 218(6):1206-1212.
Score: 0.123
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Morrison EJ, Champagne DP, Dzieciatkowska M, Nemkov T, Zimring JC, Hansen KC, Guan F, Huffman DM, Santambrogio L, D'Alessandro A. Parabiosis Incompletely Reverses Aging-Induced Metabolic Changes and Oxidant Stress in Mouse Red Blood Cells. Nutrients. 2019 Jun 14; 11(6).
Score: 0.121
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Reisz JA, Zheng C, D'Alessandro A, Nemkov T. Untargeted and Semi-targeted Lipid Analysis of Biological Samples Using Mass Spectrometry-Based Metabolomics. Methods Mol Biol. 2019; 1978:121-135.
Score: 0.118
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Catala A, Culp-Hill R, Nemkov T, D'Alessandro A. Quantitative metabolomics comparison of traditional blood draws and TAP capillary blood collection. Metabolomics. 2018 07 12; 14(7):100.
Score: 0.114
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Culp-Hill R, Reisz JA, Hansen KC, D'Alessandro A. Investigation of the effects of storage and freezing on mixes of heavy-labeled metabolite and amino acid standards. Rapid Commun Mass Spectrom. 2017 Dec 15; 31(23):2030-2034.
Score: 0.109
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D'Alessandro A, Moore HB, Moore EE, Reisz JA, Wither MJ, Ghasasbyan A, Chandler J, Silliman CC, Hansen KC, Banerjee A. Plasma succinate is a predictor of mortality in critically injured patients. J Trauma Acute Care Surg. 2017 09; 83(3):491-495.
Score: 0.107
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Reisz JA, D'Alessandro A. Measurement of metabolic fluxes using stable isotope tracers in whole animals and human patients. Curr Opin Clin Nutr Metab Care. 2017 Sep; 20(5):366-374.
Score: 0.107
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Nemkov T, Hansen KC, D'Alessandro A. A three-minute method for high-throughput quantitative metabolomics and quantitative tracing experiments of central carbon and nitrogen pathways. Rapid Commun Mass Spectrom. 2017 Apr 30; 31(8):663-673.
Score: 0.105
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D'Alessandro A, Dzieciatkowska M, Nemkov T, Hansen KC. Red blood cell proteomics update: is there more to discover? Blood Transfus. 2017 03; 15(2):182-187.
Score: 0.104
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D'Alessandro A, Nemkov T, Yoshida T, Bordbar A, Palsson BO, Hansen KC. Citrate metabolism in red blood cells stored in additive solution-3. Transfusion. 2017 02; 57(2):325-336.
Score: 0.101
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D'alessandro A, Nemkov T, Moore HB, Moore EE, Wither M, Nydam T, Slaughter A, Silliman CC, Banerjee A, Hansen KC. Metabolomics of trauma-associated death: shared and fluid-specific features of human plasma vs lymph. Blood Transfus. 2016 05; 14(2):185-94.
Score: 0.098
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D'Alessandro A, Moore HB, Moore EE, Wither M, Nemkov T, Gonzalez E, Slaughter A, Fragoso M, Hansen KC, Silliman CC, Banerjee A. Early hemorrhage triggers metabolic responses that build up during prolonged shock. Am J Physiol Regul Integr Comp Physiol. 2015 Jun 15; 308(12):R1034-44.
Score: 0.091
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Peltz ED, D'Alessandro A, Moore EE, Chin T, Silliman CC, Sauaia A, Hansen KC, Banerjee A. Pathologic metabolism: an exploratory study of the plasma metabolome of critical injury. J Trauma Acute Care Surg. 2015 Apr; 78(4):742-51.
Score: 0.091
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Dzieciatkowska M, D'Alessandro A, Hill RC, Hansen KC. Plasma QconCATs reveal a gender-specific proteomic signature in apheresis platelet plasma supernatants. J Proteomics. 2015 Apr 29; 120:1-6.
Score: 0.090
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D'Alessandro A, Hansen KC, Silliman CC, Moore EE, Kelher M, Banerjee A. Metabolomics of AS-5 RBC supernatants following routine storage. Vox Sang. 2015 Feb; 108(2):131-40.
Score: 0.087
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D'Alessandro A, Kriebardis AG, Rinalducci S, Antonelou MH, Hansen KC, Papassideri IS, Zolla L. An update on red blood cell storage lesions, as gleaned through biochemistry and omics technologies. Transfusion. 2015 Jan; 55(1):205-19.
Score: 0.087
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D'Alessandro A, Taamalli M, Gevi F, Timperio AM, Zolla L, Ghnaya T. Cadmium stress responses in Brassica juncea: hints from proteomics and metabolomics. J Proteome Res. 2013 Nov 01; 12(11):4979-97.
Score: 0.082
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D'Alessandro A, Gevi F, Zolla L. Red blood cell metabolism under prolonged anaerobic storage. Mol Biosyst. 2013 Jun; 9(6):1196-209.
Score: 0.078
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D'Alessandro A, D'Amici GM, Vaglio S, Zolla L. Time-course investigation of SAGM-stored leukocyte-filtered red bood cell concentrates: from metabolism to proteomics. Haematologica. 2012 Jan; 97(1):107-15.
Score: 0.071
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D'Alessandro A, Gevi F, Zolla L. A robust high resolution reversed-phase HPLC strategy to investigate various metabolic species in different biological models. Mol Biosyst. 2011 Apr; 7(4):1024-32.
Score: 0.068
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Alexander K, Hazegh K, Fang F, Sinchar D, Kiss JE, Page GP, D'Alessandro A, Kanias T. Testosterone replacement therapy in blood donors modulates erythrocyte metabolism and susceptibility to hemolysis in cold storage. Transfusion. 2021 01; 61(1):108-123.
Score: 0.033
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Sonn BJ, Saben JL, McWilliams G, Shelton SK, Flaten HK, D'Alessandro A, Monte AA. Predicting response to lisinopril in treating hypertension: a pilot study. Metabolomics. 2019 10 03; 15(10):133.
Score: 0.031
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Schmitt LR, Henderson R, Barrett A, Darula Z, Issaian A, D'Alessandro A, Clendenen N, Hansen KC. Mass spectrometry-based molecular mapping of native FXIIIa cross-links in insoluble fibrin clots. J Biol Chem. 2019 05 31; 294(22):8773-8778.
Score: 0.030
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Haines NR, Manoharan N, Olson JL, D'Alessandro A, Reisz JA. Metabolomics Analysis of Human Vitreous in Diabetic Retinopathy and Rhegmatogenous Retinal Detachment. J Proteome Res. 2018 07 06; 17(7):2421-2427.
Score: 0.028
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Banerjee A, Silliman CC, Moore EE, Dzieciatkowska M, Kelher M, Sauaia A, Jones K, Chapman MP, Gonzalez E, Moore HB, D'Alessandro A, Peltz E, Huebner BE, Einerson P, Chandler J, Ghasabayan A, Hansen K. Systemic hyperfibrinolysis after trauma: a pilot study of targeted proteomic analysis of superposed mechanisms in patient plasma. J Trauma Acute Care Surg. 2018 06; 84(6):929-938.
Score: 0.028
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Nemkov T, D'Alessandro A, Hansen KC. Three-minute method for amino acid analysis by UHPLC and high-resolution quadrupole orbitrap mass spectrometry. Amino Acids. 2015 Nov; 47(11):2345-57.
Score: 0.023
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Dzieciatkowska M, D'Alessandro A, Moore EE, Wohlauer M, Banerjee A, Silliman CC, Hansen KC. Lymph is not a plasma ultrafiltrate: a proteomic analysis of injured patients. Shock. 2014 Dec; 42(6):485-498.
Score: 0.022
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Pallotta V, D'Alessandro A, Rinalducci S, Zolla L. Native protein complexes in the cytoplasm of red blood cells. J Proteome Res. 2013 Jul 05; 12(7):3529-46.
Score: 0.020
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Marrocco C, D'Alessandro A, Girelli G, Zolla L. Proteomic analysis of platelets treated with gamma irradiation versus a commercial photochemical pathogen reduction technology. Transfusion. 2013 Aug; 53(8):1808-20.
Score: 0.019
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D'Amici GM, Blasi B, D'Alessandro A, Vaglio S, Zolla L. Plasma-derived clotting factor VIII: heterogeneity evaluation in the quest for potential inhibitory-antibody stimulating factors. Electrophoresis. 2011 Nov; 32(21):2941-50.
Score: 0.018
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Timperio AM, D'Alessandro A, Fagioni M, Magro P, Zolla L. Production of the phytoalexins trans-resveratrol and delta-viniferin in two economy-relevant grape cultivars upon infection with Botrytis cinerea in field conditions. Plant Physiol Biochem. 2012 Jan; 50(1):65-71.
Score: 0.018
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Basco D, Nicchia GP, D'Alessandro A, Zolla L, Svelto M, Frigeri A. Absence of aquaporin-4 in skeletal muscle alters proteins involved in bioenergetic pathways and calcium handling. PLoS One. 2011 Apr 28; 6(4):e19225.
Score: 0.017
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Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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