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Multiplexed immunofluorescence delineates proteomic cancer cell states associated with metabolism
Anup Sood, Alexandra M. Miller, Edi Brogi, Yunxia Sui, Joshua Armenia, Elizabeth McDonough, Alberto Santamaria-Pang, Sean Carlin, Aleksandra Stamper, Carl Campos, Zhengyu Pang, Qing Li, Elisa Port, Thomas G. Graeber, Nikolaus Schultz, Fiona Ginty, Steven M. Larson, Ingo K. Mellinghoff
Anup Sood, Alexandra M. Miller, Edi Brogi, Yunxia Sui, Joshua Armenia, Elizabeth McDonough, Alberto Santamaria-Pang, Sean Carlin, Aleksandra Stamper, Carl Campos, Zhengyu Pang, Qing Li, Elisa Port, Thomas G. Graeber, Nikolaus Schultz, Fiona Ginty, Steven M. Larson, Ingo K. Mellinghoff
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Multiplexed immunofluorescence delineates proteomic cancer cell states associated with metabolism

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Abstract

The phenotypic diversity of cancer results from genetic and nongenetic factors. Most studies of cancer heterogeneity have focused on DNA alterations, as technologies for proteomic measurements in clinical specimen are currently less advanced. Here, we used a multiplexed immunofluorescence staining platform to measure the expression of 27 proteins at the single-cell level in formalin-fixed and paraffin-embedded samples from treatment-naive stage II/III human breast cancer. Unsupervised clustering of protein expression data from 638,577 tumor cells in 26 breast cancers identified 8 clusters of protein coexpression. In about one-third of breast cancers, over 95% of all neoplastic cells expressed a single protein coexpression cluster. The remaining tumors harbored tumor cells representing multiple protein coexpression clusters, either in a regional distribution or intermingled throughout the tumor. Tumor uptake of the radiotracer 18F-fluorodeoxyglucose was associated with protein expression clusters characterized by hormone receptor loss, PTEN alteration, and HER2 gene amplification. Our study demonstrates an approach to generate cellular heterogeneity metrics in routinely collected solid tumor specimens and integrate them with in vivo cancer phenotypes.

Authors

Anup Sood, Alexandra M. Miller, Edi Brogi, Yunxia Sui, Joshua Armenia, Elizabeth McDonough, Alberto Santamaria-Pang, Sean Carlin, Aleksandra Stamper, Carl Campos, Zhengyu Pang, Qing Li, Elisa Port, Thomas G. Graeber, Nikolaus Schultz, Fiona Ginty, Steven M. Larson, Ingo K. Mellinghoff

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Identification of human plasma cells with a lamprey monoclonal antibody
Cuiling Yu, Yanling Liu, Justin Tze Ho Chan, Jiefei Tong, Zhihua Li, Mengyao Shi, Dariush Davani, Marion Parsons, Srijit Khan, Wei Zhan, Shuya Kyu, Eyal Grunebaum, Paolo Campisi, Evan J. Propst, David L. Jaye, Suzanne Trudel, Michael F. Moran, Mario Ostrowski, Brantley R. Herrin, F. Eun-Hyung Lee, Ignacio Sanz, Max D. Cooper, Götz R.A. Ehrhardt
Cuiling Yu, Yanling Liu, Justin Tze Ho Chan, Jiefei Tong, Zhihua Li, Mengyao Shi, Dariush Davani, Marion Parsons, Srijit Khan, Wei Zhan, Shuya Kyu, Eyal Grunebaum, Paolo Campisi, Evan J. Propst, David L. Jaye, Suzanne Trudel, Michael F. Moran, Mario Ostrowski, Brantley R. Herrin, F. Eun-Hyung Lee, Ignacio Sanz, Max D. Cooper, Götz R.A. Ehrhardt
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Identification of human plasma cells with a lamprey monoclonal antibody

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Abstract

Ab-producing plasma cells (PCs) serve as key participants in countering pathogenic challenges as well as being contributors to autoimmune and malignant disorders. Thus far, only a limited number of PC–specific markers have been identified. The characterization of the unique variable lymphocyte receptor (VLR) Abs that are made by evolutionarily distant jawless vertebrates prompted us to investigate whether VLR Abs could detect novel PC antigens that have not been recognized by conventional Abs. Here, we describe a monoclonal lamprey Ab, VLRB MM3, that was raised against primary multiple myeloma cells. VLRB MM3 recognizes a unique epitope of the CD38 ectoenzyme that is present on plasmablasts and PCs from healthy individuals and on most, but not all, multiple myelomas. Binding by the VLRB MM3 Ab coincides with CD38 dimerization and NAD glycohydrolase activity. Our data demonstrate that the lamprey VLRB MM3 Ab is a unique reagent for the identification of plasmablasts and PCs, with potential applications in the diagnosis and therapeutic intervention of PC or autoimmune disorders.

Authors

Cuiling Yu, Yanling Liu, Justin Tze Ho Chan, Jiefei Tong, Zhihua Li, Mengyao Shi, Dariush Davani, Marion Parsons, Srijit Khan, Wei Zhan, Shuya Kyu, Eyal Grunebaum, Paolo Campisi, Evan J. Propst, David L. Jaye, Suzanne Trudel, Michael F. Moran, Mario Ostrowski, Brantley R. Herrin, F. Eun-Hyung Lee, Ignacio Sanz, Max D. Cooper, Götz R.A. Ehrhardt

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Dynamic dual-isotope molecular imaging elucidates principles for optimizing intrathecal drug delivery
Daniel A. Wolf, Jacob Y. Hesterman, Jenna M. Sullivan, Kelly D. Orcutt, Matthew D. Silva, Merryl Lobo, Tyler Wellman, Jack Hoppin, Ajay Verma
Daniel A. Wolf, Jacob Y. Hesterman, Jenna M. Sullivan, Kelly D. Orcutt, Matthew D. Silva, Merryl Lobo, Tyler Wellman, Jack Hoppin, Ajay Verma
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Dynamic dual-isotope molecular imaging elucidates principles for optimizing intrathecal drug delivery

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Abstract

The intrathecal (IT) dosing route offers a seemingly obvious solution for delivering drugs directly to the central nervous system. However, gaps in understanding drug molecule behavior within the anatomically and kinetically unique environment of the mammalian IT space have impeded the establishment of pharmacokinetic principles for optimizing regional drug exposure along the neuraxis. Here, we have utilized high-resolution single-photon emission tomography with X-ray computed tomography to study the behavior of multiple molecular imaging tracers following an IT bolus injection, with supporting histology, autoradiography, block-face tomography, and MRI. Using simultaneous dual-isotope imaging, we demonstrate that the regional CNS tissue exposure of molecules with varying chemical properties is affected by IT space anatomy, cerebrospinal fluid (CSF) dynamics, CSF clearance routes, and the location and volume of the injected bolus. These imaging approaches can be used across species to optimize the safety and efficacy of IT drug therapy for neurological disorders.

Authors

Daniel A. Wolf, Jacob Y. Hesterman, Jenna M. Sullivan, Kelly D. Orcutt, Matthew D. Silva, Merryl Lobo, Tyler Wellman, Jack Hoppin, Ajay Verma

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