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Automated imaging and identification of proteoforms directly from ovarian cancer tissue.
McGee, John P; Su, Pei; Durbin, Kenneth R; Hollas, Michael A R; Bateman, Nicholas W; Maxwell, G Larry; Conrads, Thomas P; Fellers, Ryan T; Melani, Rafael D; Camarillo, Jeannie M; Kafader, Jared O; Kelleher, Neil L.
Afiliación
  • McGee JP; Departments of Molecular Biosciences, Chemistry, and the Feinberg School of Medicine, Northwestern University, Evanston, IL, USA.
  • Su P; Departments of Molecular Biosciences, Chemistry, and the Feinberg School of Medicine, Northwestern University, Evanston, IL, USA.
  • Durbin KR; Proteomics Center of Excellence, Evanston, IL, USA.
  • Hollas MAR; Proteomics Center of Excellence, Evanston, IL, USA.
  • Bateman NW; Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc, Bethesda, MD, USA.
  • Maxwell GL; Department of Gynecologic Surgery and Obstetrics and the Gynecologic Cancer Center of Excellence, John P. Murtha Cancer Center, Uniformed Services University of the Health Sciences, Bethesda, MD, USA.
  • Conrads TP; Department of Gynecologic Surgery and Obstetrics and the Gynecologic Cancer Center of Excellence, John P. Murtha Cancer Center, Uniformed Services University of the Health Sciences, Bethesda, MD, USA.
  • Fellers RT; Women's Health Integrated Research Center, Inova Women's Service Line, Inova Health System, Falls Church, VA, USA.
  • Melani RD; Department of Gynecologic Surgery and Obstetrics and the Gynecologic Cancer Center of Excellence, John P. Murtha Cancer Center, Uniformed Services University of the Health Sciences, Bethesda, MD, USA.
  • Camarillo JM; Women's Health Integrated Research Center, Inova Women's Service Line, Inova Health System, Falls Church, VA, USA.
  • Kafader JO; Proteomics Center of Excellence, Evanston, IL, USA.
  • Kelleher NL; Departments of Molecular Biosciences, Chemistry, and the Feinberg School of Medicine, Northwestern University, Evanston, IL, USA.
Nat Commun ; 14(1): 6478, 2023 10 14.
Article en En | MEDLINE | ID: mdl-37838706
ABSTRACT
The molecular identification of tissue proteoforms by top-down mass spectrometry (TDMS) is significantly limited by throughput and dynamic range. We introduce AutoPiMS, a single-ion MS based multiplexed workflow for top-down tandem MS (MS2) directly from tissue microenvironments in a semi-automated manner. AutoPiMS directly off human ovarian cancer sections allowed for MS2 identification of 73 proteoforms up to 54 kDa at a rate of <1 min per proteoform. AutoPiMS is directly interfaced with multifaceted proteoform imaging MS data modalities for the identification of proteoform signatures in tumor and stromal regions in ovarian cancer biopsies. From a total of ~1000 proteoforms detected by region-of-interest label-free quantitation, we discover 303 differential proteoforms in stroma versus tumor from the same patient. 14 of the top proteoform signatures are corroborated by MSI at 20 micron resolution including the differential localization of methylated forms of CRIP1, indicating the importance of proteoform-enabled spatial biology in ovarian cancer.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Neoplasias Ováricas / Proteoma Límite: Female / Humans Idioma: En Revista: Nat Commun Asunto de la revista: BIOLOGIA / CIENCIA Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
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PubMed Links
Buscar en Google

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Neoplasias Ováricas / Proteoma Límite: Female / Humans Idioma: En Revista: Nat Commun Asunto de la revista: BIOLOGIA / CIENCIA Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos