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Reduced Hemoglobin Signal and Improved Detection of Endogenous Proteins in Blood-Rich Tissues for MALDI Mass Spectrometry Imaging.
Lin, Monica; Eberlin, Livia S; Seeley, Erin H.
Affiliation
  • Lin M; Department of Chemistry, The University of Texas at Austin, Austin, Texas 78712, United States.
  • Eberlin LS; Department of Chemistry, The University of Texas at Austin, Austin, Texas 78712, United States.
  • Seeley EH; Department of Surgery, Baylor College of Medicine, Houston, Texas 77030, United States.
J Am Soc Mass Spectrom ; 33(2): 296-303, 2022 Feb 02.
Article in En | MEDLINE | ID: mdl-35061381
Mass spectrometry imaging provides a powerful approach for the direct analysis and spatial visualization of molecules in tissue sections. Using matrix-assisted laser desorption/ionization mass spectrometry, intact protein imaging has been widely investigated for biomarker analysis and diagnosis in a variety of tissue types and diseases. However, blood-rich or highly vascular tissues present a challenge in molecular imaging due to the high ionization efficiency of hemoglobin, which leads to ion suppression of endogenous proteins. Here, we describe a protocol to selectively reduce hemoglobin signal in blood-rich tissues that can easily be integrated into mass spectrometry imaging workflows.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Spleen / Hemoglobins / Proteins / Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization / Endometrium / Liver Type of study: Diagnostic_studies / Guideline Limits: Animals / Female / Humans Language: En Journal: J Am Soc Mass Spectrom Year: 2022 Document type: Article Affiliation country: United States Country of publication: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Spleen / Hemoglobins / Proteins / Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization / Endometrium / Liver Type of study: Diagnostic_studies / Guideline Limits: Animals / Female / Humans Language: En Journal: J Am Soc Mass Spectrom Year: 2022 Document type: Article Affiliation country: United States Country of publication: United States