1
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Lin HH, Yu IS, Cheng MS, Chang TJ, Lin HY, Chang YC, Ko CJ, Chen PH, Lin SW, Huang TC, Huang SY, Chen TY, Kan KW, Huang HP, Lee MS. Spint1 disruption in mouse pancreas leads to glucose intolerance and impaired insulin production involving HEPSIN/MAFA. Nat Commun 2024; 15:10537. [PMID: 39627229 PMCID: PMC11615295 DOI: 10.1038/s41467-024-54927-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Accepted: 11/25/2024] [Indexed: 12/06/2024] Open
Abstract
SPINT1, a membrane-anchored serine protease inhibitor, regulates cascades of pericellular proteolysis while its tissue-specific functions remain incompletely characterized. In this study, we generate Spint1-lacZ knock-in mice and observe Spint1 expression in embryonic pancreatic epithelium. Pancreas-specific Spint1 disruption significantly diminishes islet size and mass, causing glucose intolerance and downregulation of MAFA and insulin. Mechanistically, the serine protease HEPSIN interacts with SPINT1 in β cells, and Hepsin silencing counteracts the downregulation of Mafa and Ins1 caused by Spint1 depletion. Furthermore, we demonstrate a potential interaction between HEPSIN and GLP1R in β cells. Spint1 silencing or Hepsin overexpression reduces GLP1R-related cyclic AMP levels and Mafa expression. Spint1-disrupted mice also exhibit a significant reduction in Exendin-4-induced insulin secretion. Moreover, SPINT1 expression increases in islets of prediabetic humans compared to non-prediabetic groups. The results unveil a role for SPINT1 in β cells, modulating glucose homeostasis and insulin production via HEPSIN/MAFA signaling.
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Affiliation(s)
- Hsin-Hsien Lin
- Department of Biochemistry and Molecular Biology, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - I-Shing Yu
- Laboratory Animal Center, College of Medicine, National Taiwan University, Taipei, Taiwan
- NTU Centers of Genomic and Precision Medicine, National Taiwan University, Taipei, Taiwan
| | - Ming-Shan Cheng
- Department of Biochemistry and Molecular Biology, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Tien-Jyun Chang
- Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
| | - Hsin-Ying Lin
- Department of Biochemistry and Molecular Biology, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Yi-Cheng Chang
- Graduate Institute of Medical Genomics and Proteomics, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Chun-Jung Ko
- Graduate Institute of Immunology, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Ping-Hung Chen
- Department of Biochemistry and Molecular Biology, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Shu-Wha Lin
- Laboratory Animal Center, College of Medicine, National Taiwan University, Taipei, Taiwan
- NTU Centers of Genomic and Precision Medicine, National Taiwan University, Taipei, Taiwan
- Department of Clinical Laboratory Sciences and Medical Biotechnology, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Tai-Chung Huang
- Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
| | - Shin-Yi Huang
- Department of Pathology, National Taiwan University Hospital, Taipei, Taiwan
| | - Tzu-Yu Chen
- Graduate Institute of Medical Genomics and Proteomics, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Kai-Wen Kan
- Department of Biochemistry and Molecular Biology, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Hsiang-Po Huang
- Graduate Institute of Medical Genomics and Proteomics, College of Medicine, National Taiwan University, Taipei, Taiwan.
| | - Ming-Shyue Lee
- Department of Biochemistry and Molecular Biology, College of Medicine, National Taiwan University, Taipei, Taiwan.
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2
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Wang D, Cheung A, Mawdsley GE, Liu K, Yerofeyeva Y, Thu KL, Yoon JY, Yaffe MJ. A Modified Bleaching Method for Multiplex Immunofluorescence Staining of FFPE Tissue Sections. Appl Immunohistochem Mol Morphol 2024; 32:447-452. [PMID: 39370592 DOI: 10.1097/pai.0000000000001228] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Accepted: 09/10/2024] [Indexed: 10/08/2024]
Abstract
Multiplex immunofluorescence (mIF) staining plays an important role in profiling biomarkers and allows investigation of co-relationships between multiple biomarkers in the same tissue section. The Cell DIVE mIF platform (Leica Microsystems) employs an alkaline solution of hydrogen peroxide as a fluorophore inactivation reagent in the sequential staining, imaging, and bleaching protocol for use on FFPE sections. Suboptimal bleaching efficiency, degradation of tissue structure, and loss of antigen immunogenicity occasionally are encountered with the standard bleaching process. To overcome these impediments, we adopted a modified photochemical bleaching method, which utilizes an intense LED light exposure concurrent with the application of hydrogen peroxide. Repeated stain/bleach rounds with different antibodies were performed on breast tissue and other tissue sections. Residual signal after conventional bleaching and the modified technique were compared and tissue integrity and antigen immunogenicity were assessed. The modified technique effectively eliminates fluorescence signal from previous staining rounds and produces consistent results for multiple rounds of staining and imaging. With the modified method, photochemical treatments did not destroy tissue sub-cellular contents, and the tissue antigenicity was well preserved during the entire mIF process. Overall processing time was reduced from 36 to 30 hours in an mIF procedure with 8 rounds. With the conventional method, tissue quality was highly degraded after 8 rounds. The new technique allows reduced turn-around time, provides reliable fluorophore removal in mIF with excellent maintenance of tissue integrity, facilitating studies of the co-localization of multiple biomarkers in tissues of interest.
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Affiliation(s)
- Dan Wang
- Biomarker Imaging Research Lab, Sunnybrook Research Institute
| | - Alison Cheung
- Biomarker Imaging Research Lab, Sunnybrook Research Institute
| | | | - Kela Liu
- Biomarker Imaging Research Lab, Sunnybrook Research Institute
| | | | - Kelsie L Thu
- Keenan Research Centre for Biomedical Science, Unity Health Toronto
- Department of Laboratory Medicine and Pathobiology
| | - Ju-Yoon Yoon
- Department of Laboratory Medicine and Pathobiology
- Department of Laboratory Medicine, St. Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada
| | - Martin J Yaffe
- Biomarker Imaging Research Lab, Sunnybrook Research Institute
- Department of Medical Biophysics, Faculty of Medicine, University of Toronto
- Imaging Research Program, Ontario Institute for Cancer Research
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3
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Porter CM, Tabler S, Choi S, Truttmann MC. TSWIFT, a novel method for iterative staining of embedded and mounted human brain sections. Sci Rep 2024; 14:12688. [PMID: 38830987 PMCID: PMC11148033 DOI: 10.1038/s41598-024-63152-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Accepted: 05/25/2024] [Indexed: 06/05/2024] Open
Abstract
Comprehensive characterization of protein networks in mounted brain tissue represents a major challenge in brain and neurodegenerative disease research. In this study, we develop a simple staining method, called TSWIFT, to iteratively stain pre-mounted formalin fixed, paraffin embedded (FFPE) brain sections, thus enabling high-dimensional sample phenotyping. We show that TSWIFT conserves tissue architecture and allows for relabeling a single mounted FFPE sample more than 10 times, even after prolonged storage at 4 °C. Our results establish TSWIFT as an efficient method to obtain integrated high-dimensional knowledge of cellular proteomes by analyzing mounted FFPE human brain tissue.
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Affiliation(s)
- Corey M Porter
- Department of Molecular and Integrative Physiology, University of Michigan, BSRB, 109 Zina Pitcher Place, Ann Arbor, MI, 48109, USA
| | - Sarah Tabler
- Department of Molecular and Integrative Physiology, University of Michigan, BSRB, 109 Zina Pitcher Place, Ann Arbor, MI, 48109, USA
| | - Sooin Choi
- Department of Molecular and Integrative Physiology, University of Michigan, BSRB, 109 Zina Pitcher Place, Ann Arbor, MI, 48109, USA
| | - Matthias C Truttmann
- Department of Molecular and Integrative Physiology, University of Michigan, BSRB, 109 Zina Pitcher Place, Ann Arbor, MI, 48109, USA.
- Geriatrics Center, University of Michigan, Ann Arbor, MI, 48109, USA.
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4
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Harms PW, Frankel TL, Moutafi M, Rao A, Rimm DL, Taube JM, Thomas D, Chan MP, Pantanowitz L. Multiplex Immunohistochemistry and Immunofluorescence: A Practical Update for Pathologists. Mod Pathol 2023; 36:100197. [PMID: 37105494 DOI: 10.1016/j.modpat.2023.100197] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Revised: 03/07/2023] [Accepted: 04/19/2023] [Indexed: 04/29/2023]
Abstract
Our understanding of the biology and management of human disease has undergone a remarkable evolution in recent decades. Improved understanding of the roles of complex immune populations in the tumor microenvironment has advanced our knowledge of antitumor immunity, and immunotherapy has radically improved outcomes for many advanced cancers. Digital pathology has unlocked new possibilities for the assessment and discovery of the tumor microenvironment, such as quantitative and spatial image analysis. Despite these advances, tissue-based evaluations for diagnosis and prognosis continue to rely on traditional practices, such as hematoxylin and eosin staining, supplemented by the assessment of single biomarkers largely using chromogenic immunohistochemistry (IHC). Such approaches are poorly suited to complex quantitative analyses and the simultaneous evaluation of multiple biomarkers. Thus, multiplex staining techniques have significant potential to improve diagnostic practice and immuno-oncology research. The different approaches to achieve multiplexed IHC and immunofluorescence are described in this study. Alternatives to multiplex immunofluorescence/IHC include epitope-based tissue mass spectrometry and digital spatial profiling (DSP), which require specialized platforms not available to most clinical laboratories. Virtual multiplexing, which involves digitally coregistering singleplex IHC stains performed on serial sections, is another alternative to multiplex staining. Regardless of the approach, analysis of multiplexed stains sequentially or simultaneously will benefit from standardized protocols and digital pathology workflows. Although this is a complex and rapidly advancing field, multiplex staining is now technically feasible for most clinical laboratories and may soon be leveraged for routine diagnostic use. This review provides an update on the current state of the art for tissue multiplexing, including the capabilities and limitations of different techniques, with an emphasis on potential relevance to clinical diagnostic practice.
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Affiliation(s)
- Paul W Harms
- Department of Pathology, Michigan Medicine/University of Michigan, Ann Arbor, Michigan; Department of Dermatology, Michigan Medicine/University of Michigan, Ann Arbor, Michigan; Rogel Cancer Center, Michigan Medicine/University of Michigan, Ann Arbor, Michigan.
| | - Timothy L Frankel
- Rogel Cancer Center, Michigan Medicine/University of Michigan, Ann Arbor, Michigan; Department of Surgery, Michigan Medicine/University of Michigan, Ann Arbor, Michigan
| | - Myrto Moutafi
- Department of Pathology, Yale University School of Medicine, New Haven, Connecticut
| | - Arvind Rao
- Department of Computational Medicine and Bioinformatics, Michigan Medicine/University of Michigan, Ann Arbor, Michigan; Department of Radiation Oncology, Michigan Medicine/University of Michigan, Ann Arbor, Michigan; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, Michigan
| | - David L Rimm
- Department of Pathology, Yale University School of Medicine, New Haven, Connecticut
| | - Janis M Taube
- Department of Oncology, Johns Hopkins University School of Medicine, Sidney Kimmel Comprehensive Cancer Center, and Johns Hopkins Bloomberg-Kimmel Institute for Cancer Immunotherapy, Baltimore, Maryland; Department of Dermatology, Johns Hopkins University School of Medicine, Sidney Kimmel Comprehensive Cancer Center, and Johns Hopkins Bloomberg-Kimmel Institute for Cancer Immunotherapy, Baltimore, Maryland; Department of Pathology, Johns Hopkins University School of Medicine, Sidney Kimmel Comprehensive Cancer Center, and Johns Hopkins Bloomberg-Kimmel Institute for Cancer Immunotherapy, Baltimore, Maryland
| | - Dafydd Thomas
- Department of Pathology, Michigan Medicine/University of Michigan, Ann Arbor, Michigan; Rogel Cancer Center, Michigan Medicine/University of Michigan, Ann Arbor, Michigan
| | - May P Chan
- Department of Pathology, Michigan Medicine/University of Michigan, Ann Arbor, Michigan; Department of Dermatology, Michigan Medicine/University of Michigan, Ann Arbor, Michigan
| | - Liron Pantanowitz
- Department of Pathology, Michigan Medicine/University of Michigan, Ann Arbor, Michigan
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5
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Bolognesi MM, Antoranz A, Bosisio FM, Cattoretti G. Quantitative multiplex immunohistochemistry with colorimetric staining (QUIVER) may still benefit from MILAN. Acta Neuropathol Commun 2023; 11:91. [PMID: 37287032 DOI: 10.1186/s40478-023-01585-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Accepted: 05/18/2023] [Indexed: 06/09/2023] Open
Affiliation(s)
- Maddalena M Bolognesi
- Pathology, Department of Medicine and Surgery, Università di Milano-Bicocca, Via Cadore 48, Monza, MI, Italy
| | - Asier Antoranz
- Translational Cell and Tissue Research Unit, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium
- The Laboratory for Precision Cancer Medicine, Translational Cell and Tissue Research Unit, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium
| | - Francesca Maria Bosisio
- Translational Cell and Tissue Research Unit, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium
| | - Giorgio Cattoretti
- Pathology, Department of Medicine and Surgery, Università di Milano-Bicocca, Via Cadore 48, Monza, MI, Italy.
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6
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Shahidehpour RK, Nelson AS, Sanders LG, Embry CR, Nelson PT, Bachstetter AD. The localization of molecularly distinct microglia populations to Alzheimer's disease pathologies using QUIVER. Acta Neuropathol Commun 2023; 11:45. [PMID: 36934255 PMCID: PMC10024857 DOI: 10.1186/s40478-023-01541-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2023] [Accepted: 03/03/2023] [Indexed: 03/20/2023] Open
Abstract
New histological techniques are needed to examine protein distribution in human tissues, which can reveal cell shape and disease pathology connections. Spatial proteomics has changed the study of tumor microenvironments by identifying spatial relationships of immunomodulatory cells and proteins and contributing to the discovery of new cancer immunotherapy biomarkers. However, the fast-expanding toolkit of spatial proteomic approaches has yet to be systematically applied to investigate pathological alterations in the aging human brain in health and disease states. Moreover, post-mortem human brain tissue presents distinct technical problems due to fixation procedures and autofluorescence, which limit fluorescence methodologies. This study sought to develop a multiplex immunohistochemistry approach (visualizing the immunostain with brightfield microscopy). Quantitative multiplex Immunohistochemistry with Visual colorimetric staining to Enhance Regional protein localization (QUIVER) was developed to address these technical challenges. Using QUIVER, a ten-channel pseudo-fluorescent image was generated using chromogen removal and digital microscopy to identify unique molecular microglia phenotypes. Next, the study asked if the tissue environment, specifically the amyloid plaques and neurofibrillary tangles characteristic of Alzheimer's disease, has any bearing on microglia's cellular and molecular phenotypes. QUIVER allowed the visualization of five molecular microglia/macrophage phenotypes using digital pathology tools. The recognizable reactive and homeostatic microglia/macrophage phenotypes demonstrated spatial polarization towards and away from amyloid plaques, respectively. Yet, microglia morphology appearance did not always correspond to molecular phenotype. This research not only sheds light on the biology of microglia but also offers QUIVER, a new tool for examining pathological alterations in the brains of the elderly.
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Affiliation(s)
- Ryan K Shahidehpour
- Spinal Cord and Brain Injury Research Center, University of Kentucky, 741 S. Limestone St., Lexington, KY, 40536, USA
- Department of Neuroscience, University of Kentucky, Lexington, KY, 40536, USA
| | - Abraham S Nelson
- Spinal Cord and Brain Injury Research Center, University of Kentucky, 741 S. Limestone St., Lexington, KY, 40536, USA
| | - Lydia G Sanders
- Spinal Cord and Brain Injury Research Center, University of Kentucky, 741 S. Limestone St., Lexington, KY, 40536, USA
| | - Chloe R Embry
- Spinal Cord and Brain Injury Research Center, University of Kentucky, 741 S. Limestone St., Lexington, KY, 40536, USA
| | - Peter T Nelson
- Department of Neuroscience, University of Kentucky, Lexington, KY, 40536, USA
- Sanders-Brown Center On Aging, University of Kentucky, Lexington, KY, 40536, USA
- Division of Neuropathology, Department of Pathology and Laboratory Medicine, University of Kentucky, Lexington, KY, 40536, USA
| | - Adam D Bachstetter
- Spinal Cord and Brain Injury Research Center, University of Kentucky, 741 S. Limestone St., Lexington, KY, 40536, USA.
- Department of Neuroscience, University of Kentucky, Lexington, KY, 40536, USA.
- Sanders-Brown Center On Aging, University of Kentucky, Lexington, KY, 40536, USA.
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7
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Wrobel J, Harris C, Vandekar S. Statistical Analysis of Multiplex Immunofluorescence and Immunohistochemistry Imaging Data. Methods Mol Biol 2023; 2629:141-168. [PMID: 36929077 DOI: 10.1007/978-1-0716-2986-4_8] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/18/2023]
Abstract
Advances in multiplexed single-cell immunofluorescence (mIF) and multiplex immunohistochemistry (mIHC) imaging technologies have enabled the analysis of cell-to-cell spatial relationships that promise to revolutionize our understanding of tissue-based diseases and autoimmune disorders. Multiplex images are collected as multichannel TIFF files; then denoised, segmented to identify cells and nuclei, normalized across slides with protein markers to correct for batch effects, and phenotyped; and then tissue composition and spatial context at the cellular level are analyzed. This chapter discusses methods and software infrastructure for image processing and statistical analysis of mIF/mIHC data.
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Affiliation(s)
- Julia Wrobel
- Department of Biostatistics and Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
| | - Coleman Harris
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Simon Vandekar
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
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Yang L, Ball A, Liu J, Jain T, Li YM, Akhter F, Zhu D, Wang J. Cyclic microchip assay for measurement of hundreds of functional proteins in single neurons. Nat Commun 2022; 13:3548. [PMID: 35729174 PMCID: PMC9213506 DOI: 10.1038/s41467-022-31336-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Accepted: 06/15/2022] [Indexed: 12/02/2022] Open
Abstract
Despite the fact that proteins carry out nearly all cellular functions and mark the differences of cells, the existing single-cell tools can only analyze dozens of proteins, a scale far from full characterization of cells and tissue yet. Herein, we present a single-cell cyclic multiplex in situ tagging (CycMIST) technology that affords the comprehensive functional proteome profiling of single cells. We demonstrate the technology by detecting 182 proteins that include surface markers, neuron function proteins, neurodegeneration markers, signaling pathway proteins, and transcription factors. Further studies on cells derived from the 5XFAD mice, an Alzheimer's Disease (AD) model, validate the utility of our technology and reveal the deep heterogeneity of brain cells. Through comparison with control mouse cells, we have identified differentially expressed proteins in AD pathology. Our technology could offer new insights into cell machinery and thus may advance many fields including drug discovery, molecular diagnostics, and clinical studies.
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Affiliation(s)
- Liwei Yang
- Multiplex Biotechnology Laboratory, Department of Biomedical Engineering, Stony Brook University, Stony Brook, NY, 11794, USA
| | - Avery Ball
- Multiplex Biotechnology Laboratory, Department of Biomedical Engineering, Stony Brook University, Stony Brook, NY, 11794, USA
| | - Jesse Liu
- Multiplex Biotechnology Laboratory, Department of Biomedical Engineering, Stony Brook University, Stony Brook, NY, 11794, USA
| | - Tanya Jain
- Chemical Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Programs of Neurosciences, Weill Graduate School of Medical Sciences of Cornell University, New York, NY, USA
| | - Yue-Ming Li
- Chemical Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Programs of Neurosciences, Weill Graduate School of Medical Sciences of Cornell University, New York, NY, USA
- Programs of Pharmacology, Weill Graduate School of Medical Sciences of Cornell University, New York, NY, USA
| | - Firoz Akhter
- Department of Biomedical Engineering, Stony Brook University, Stony Brook, NY, 11794, USA
| | - Donghui Zhu
- Department of Biomedical Engineering, Stony Brook University, Stony Brook, NY, 11794, USA
| | - Jun Wang
- Multiplex Biotechnology Laboratory, Department of Biomedical Engineering, Stony Brook University, Stony Brook, NY, 11794, USA.
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9
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Theofilas P, Piergies AMH, Oh I, Lee YB, Li SH, Pereira FL, Petersen C, Ehrenberg AJ, Eser RA, Ambrose AJ, Chin B, Yang T, Khan S, Ng R, Spina S, Seeley WW, Miller BL, Arkin MR, Grinberg LT. Caspase-6-cleaved tau is relevant in Alzheimer's disease and marginal in four-repeat tauopathies: diagnostic and therapeutic implications. Neuropathol Appl Neurobiol 2022; 48:e12819. [PMID: 35508761 PMCID: PMC9472770 DOI: 10.1111/nan.12819] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2021] [Revised: 03/22/2022] [Accepted: 03/26/2022] [Indexed: 11/27/2022]
Abstract
AIM Tau truncation (tr-tau) by active caspase-6 (aCasp-6) generates tau fragments that may be toxic. Yet, the relationship between aCasp-6, different forms of tr-tau, and hyperphosphorylated tau (p-tau) accumulation in human brains with Alzheimer's disease (AD) and other tauopathies remains unclear. METHODS We generated two neoepitope monoclonal antibodies against tr-tau sites (D402 and D13) targeted by aCasp-6. Then, we used 5-plex immunofluorescence to quantify the neuronal and astroglial burden of aCasp-6, tr-tau, p-tau, and their co-occurrence in healthy controls, AD, and primary tauopathies. RESULTS Casp-6 activation was strongest in AD and Pick's disease (PiD), but almost absent in 4-repeat (4R) tauopathies. In neurons, the tr-tau burden was much more abundant in AD and PiD than in 4R tauopathies and disproportionally higher when normalizing by p-tau pathology. Tr-tau astrogliopathy was detected in low numbers in 4R tauopathies. Unexpectedly, about half of tr-tau positive neurons in AD and PiD lacked p-tau aggregates, a finding we confirmed using several p-tau antibodies. CONCLUSIONS Early modulation of aCasp-6 to reduce tr-tau pathology is a promising therapeutic strategy for AD and PiD, but is unlikely to benefit 4R tauopathies. The large percentage of tr-tau-positive neurons lacking p-tau suggests that many vulnerable neurons to tau pathology go undetected when using conventional p-tau antibodies. Therapeutic strategies against tr-tau pathology could be necessary to modulate the extent of tau abnormalities in AD. The disproportionally higher burden of tr-tau in AD and PiD supports the development of biofluid biomarkers against tr-tau to detect AD and PiD and differentiate them from 4R tauopathies at a patient level.
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Affiliation(s)
- Panos Theofilas
- Memory and Aging Center, UCSF Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | - Antonia M H Piergies
- Memory and Aging Center, UCSF Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | - Ian Oh
- Memory and Aging Center, UCSF Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | - Yoo Bin Lee
- Memory and Aging Center, UCSF Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | - Song Hua Li
- Memory and Aging Center, UCSF Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | - Felipe L Pereira
- Memory and Aging Center, UCSF Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | - Cathrine Petersen
- Memory and Aging Center, UCSF Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | - Alexander J Ehrenberg
- Memory and Aging Center, UCSF Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | - Rana A Eser
- Memory and Aging Center, UCSF Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | - Andrew J Ambrose
- Department of Pharmaceutical Chemistry and Small Molecule Discovery Center, UCSF, San Francisco, CA, USA
| | | | | | - Shireen Khan
- ChemPartner San Francisco, South San Francisco, CA, USA
| | - Raymond Ng
- ChemPartner San Francisco, South San Francisco, CA, USA
| | - Salvatore Spina
- Memory and Aging Center, UCSF Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | - Willian W Seeley
- Memory and Aging Center, UCSF Weill Institute for Neurosciences, University of California, San Francisco, CA, USA.,Department of Pathology, University of California, San Francisco, San Francisco, CA, USA
| | - Bruce L Miller
- Memory and Aging Center, UCSF Weill Institute for Neurosciences, University of California, San Francisco, CA, USA.,Global Brain Health Institute, University of California, San Francisco, San Francisco, CA, USA
| | - Michelle R Arkin
- Department of Pharmaceutical Chemistry and Small Molecule Discovery Center, UCSF, San Francisco, CA, USA
| | - Lea T Grinberg
- Memory and Aging Center, UCSF Weill Institute for Neurosciences, University of California, San Francisco, CA, USA.,Department of Pathology, University of California, San Francisco, San Francisco, CA, USA.,Global Brain Health Institute, University of California, San Francisco, San Francisco, CA, USA.,Department of Pathology, University of Sao Paulo Medical School, Sao Paulo, Brazil
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10
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Pang L, Ernst M, Huynh J. Development of a Multiplex Immunohistochemistry Workflow to Investigate the Immune Microenvironment in Mouse Models of Inflammatory Bowel Disease and Colon Cancer. Int J Mol Sci 2021; 22:ijms222011001. [PMID: 34681666 PMCID: PMC8539370 DOI: 10.3390/ijms222011001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Revised: 10/07/2021] [Accepted: 10/08/2021] [Indexed: 12/23/2022] Open
Abstract
Multiplex immunohistochemistry (mIHC) enables simultaneous staining of multiple immune markers on a single tissue section. Mounting studies have demonstrated the versatility of mIHC in evaluating immune infiltrates in different diseases and the tumour microenvironment (TME). However, the majority of published studies are limited to the analysis of human patient samples. Performing mIHC on formalin-fixed paraffin-embedded (FFPE) mouse tissues, particularly with sensitive antigens, remain challenging. The aim of our study was to develop a robust and reproducible protocol to uncover the immune landscape in mouse FFPE tissues. Effective antibody stripping while maintaining sensitivity to antigens and tissue adhesion to the glass slide is critical in developing an mIHC panel to allow successive rounds of staining. Thus, we identified a highly efficient stripping method that preserves signal intensity and antigenicity to allow multiple rounds of staining. We subsequently optimised an mIHC workflow with antibodies specific against CD4, CD8α, FOXP3 and B220 to identify distinct T and B cell populations on mouse FFPE tissues. Lastly, the application of this mIHC panel was validated in a mouse model of inflammatory bowel cancer, two allograft mouse models of spontaneous colon adenocarcinoma and a sporadic mouse model of colon cancer. Together, these demonstrate the utility of the aforementioned protocol in establishing the quantity and spatial localisation of immune cells in different pathological tissues.
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11
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Multiplex gene analysis reveals T-cell and antibody-mediated rejection-specific upregulation of complement in renal transplants. Sci Rep 2021; 11:15464. [PMID: 34326417 PMCID: PMC8322413 DOI: 10.1038/s41598-021-94954-3] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Accepted: 07/13/2021] [Indexed: 01/03/2023] Open
Abstract
In renal transplantation, complement is involved in ischemia reperfusion injury, graft rejection and dysfunction. However, it is still unclear how induction of complement and its activation are initiated. Using allograft biopsies of a well-characterized cohort of 28 renal transplant patients with no rejection (Ctrl), delayed graft function (DGF), acute T-cell-mediated (TCMR) or antibody-mediated rejection (ABMR) we analyzed differences in complement reaction. For that mRNA was isolated from FFPE sections, quantified with a multiplex gene expression panel and correlated with transplant conditions and follow-up of patients. Additionally, inflammatory cells were quantified by multiplex immunohistochemistry. In allograft biopsies with TCMR and ABMR gene expression of C1QB was 2-4 fold elevated compared to Ctrl. In TCMR biopsies, mRNA counts of several complement-related genes including C1S, C3, CFB and complement regulators CFH, CR1 and SERPING1 were significantly increased compared to Ctrl. Interestingly, expression levels of about 75% of the analyzed complement related genes correlated with cold ischemia time (CIT) and markers of inflammation. In conclusion, this study suggest an important role of complement in transplant pathology which seems to be at least in part triggered by CIT. Multiplex mRNA analysis might be a useful method to refine diagnosis and explore new pathways involved in rejection.
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Leng K, Li E, Eser R, Piergies A, Sit R, Tan M, Neff N, Li SH, Rodriguez RD, Suemoto CK, Leite REP, Ehrenberg AJ, Pasqualucci CA, Seeley WW, Spina S, Heinsen H, Grinberg LT, Kampmann M. Molecular characterization of selectively vulnerable neurons in Alzheimer's disease. Nat Neurosci 2021; 24:276-287. [PMID: 33432193 PMCID: PMC7854528 DOI: 10.1038/s41593-020-00764-7] [Citation(s) in RCA: 238] [Impact Index Per Article: 59.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2020] [Accepted: 11/20/2020] [Indexed: 01/29/2023]
Abstract
Alzheimer's disease (AD) is characterized by the selective vulnerability of specific neuronal populations, the molecular signatures of which are largely unknown. To identify and characterize selectively vulnerable neuronal populations, we used single-nucleus RNA sequencing to profile the caudal entorhinal cortex and the superior frontal gyrus-brain regions where neurofibrillary inclusions and neuronal loss occur early and late in AD, respectively-from postmortem brains spanning the progression of AD-type tau neurofibrillary pathology. We identified RORB as a marker of selectively vulnerable excitatory neurons in the entorhinal cortex and subsequently validated their depletion and selective susceptibility to neurofibrillary inclusions during disease progression using quantitative neuropathological methods. We also discovered an astrocyte subpopulation, likely representing reactive astrocytes, characterized by decreased expression of genes involved in homeostatic functions. Our characterization of selectively vulnerable neurons in AD paves the way for future mechanistic studies of selective vulnerability and potential therapeutic strategies for enhancing neuronal resilience.
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Affiliation(s)
- Kun Leng
- Institute for Neurodegenerative Disease, University of California, San Francisco, San Francisco, CA, USA
- Chan Zuckerberg Biohub, San Francisco, CA, USA
- Biomedical Sciences Graduate Program, University of California, San Francisco, San Francisco, CA, USA
- Medical Scientist Training Program, University of California, San Francisco, San Francisco, CA, USA
| | - Emmy Li
- Institute for Neurodegenerative Disease, University of California, San Francisco, San Francisco, CA, USA
- Chan Zuckerberg Biohub, San Francisco, CA, USA
- Biomedical Sciences Graduate Program, University of California, San Francisco, San Francisco, CA, USA
| | - Rana Eser
- Memory and Aging Center, Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Antonia Piergies
- Memory and Aging Center, Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Rene Sit
- Chan Zuckerberg Biohub, San Francisco, CA, USA
| | | | - Norma Neff
- Chan Zuckerberg Biohub, San Francisco, CA, USA
| | - Song Hua Li
- Memory and Aging Center, Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Roberta Diehl Rodriguez
- Department of Neurology, Universidade de São Paulo, Faculdade de Medicina, São Paulo, Brazil
| | - Claudia Kimie Suemoto
- Department of Pathology, Universidade de São Paulo, Faculdade de Medicina, São Paulo, Brazil
- Division of Geriatrics, Department of Clinical Medicine, Universidade de São Paulo, Faculdade de Medicina, São Paulo, Brazil
| | | | - Alexander J Ehrenberg
- Memory and Aging Center, Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Carlos A Pasqualucci
- Department of Pathology, Universidade de São Paulo, Faculdade de Medicina, São Paulo, Brazil
| | - William W Seeley
- Memory and Aging Center, Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
- Department of Pathology, University of California, San Francisco, San Francisco, CA, USA
| | - Salvatore Spina
- Memory and Aging Center, Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Helmut Heinsen
- Department of Pathology, Universidade de São Paulo, Faculdade de Medicina, São Paulo, Brazil
- Department of Psychiatry, University of Würzburg, Würzburg, Germany
| | - Lea T Grinberg
- Memory and Aging Center, Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA.
- Department of Pathology, Universidade de São Paulo, Faculdade de Medicina, São Paulo, Brazil.
- Global Brain Health Institute, University of California, San Francisco, San Francisco, CA, USA.
| | - Martin Kampmann
- Institute for Neurodegenerative Disease, University of California, San Francisco, San Francisco, CA, USA.
- Chan Zuckerberg Biohub, San Francisco, CA, USA.
- Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA, USA.
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Sjöstedt E, Kolnes AJ, Olarescu NC, Mitsios N, Hikmet F, Sivertsson Å, Lindskog C, Øystese KAB, Jørgensen AP, Bollerslev J, Casar-Borota O. TGFBR3L-An Uncharacterised Pituitary Specific Membrane Protein Detected in the Gonadotroph Cells in Non-Neoplastic and Tumour Tissue. Cancers (Basel) 2020; 13:cancers13010114. [PMID: 33396509 PMCID: PMC7795056 DOI: 10.3390/cancers13010114] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2020] [Revised: 12/11/2020] [Accepted: 12/25/2020] [Indexed: 01/23/2023] Open
Abstract
Simple Summary Pituitary neuroendocrine tumours originate from the endocrine cells of the anterior pituitary gland and may develop from any of the cell lineages responsible for producing the different pituitary hormones. The details related to tumour differentiation and hormone production in these tumours are not fully understood. The aim of our study was to investigate an uncharacterised pituitary enriched protein, transforming growth factor beta-receptor 3 like (TGFBR3L). The TGFBR3L protein is highly expressed in the pituitary compared to other organs. We found the protein to be gonadotroph-specific, i.e., detected in the cells that express follicle-stimulating and luteinizing hormones (FSH/LH). The gonadotroph-specific nature of TGFBR3L, a correlation to both FSH and LH as well as an inverse correlation to membranous E-cadherin and oestrogen receptor β suggests a role in gonadotroph cell development and function and, possibly, tumour progression. Abstract Here, we report the investigation of transforming growth factor beta-receptor 3 like (TGFBR3L), an uncharacterised pituitary specific membrane protein, in non-neoplastic anterior pituitary gland and pituitary neuroendocrine tumours. A polyclonal antibody produced within the Human Protein Atlas project (HPA074356) was used for TGFBR3L staining and combined with SF1 and FSH for a 3-plex fluorescent protocol, providing more details about the cell lineage specificity of TGFBR3L expression. A cohort of 230 pituitary neuroendocrine tumours were analysed. In a subgroup of previously characterised gonadotroph tumours, correlation with expression of FSH/LH, E-cadherin, oestrogen (ER) and somatostatin receptors (SSTR) was explored. TGFBR3L showed membranous immunolabeling and was found to be gonadotroph cell lineage-specific, verified by co-expression with SF1 and FSH/LH staining in both tumour and non-neoplastic anterior pituitary tissues. TGFBR3L immunoreactivity was observed in gonadotroph tumours only and demonstrated intra-tumour heterogeneity with a perivascular location. TGFBR3L immunostaining correlated positively to both FSH (R = 0.290) and LH (R = 0.390) immunostaining, and SSTR3 (R = 0.315). TGFBR3L correlated inversely to membranous E-cadherin staining (R = −0.351) and oestrogen receptor β mRNA (R = −0.274). In conclusion, TGFBR3L is a novel pituitary gland specific protein, located in the membrane of gonadotroph cells in non-neoplastic anterior pituitary gland and in a subset of gonadotroph pituitary tumours.
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Affiliation(s)
- Evelina Sjöstedt
- Department of Neuroscience, Karolinska Institutet, Solnavägen 1, 171 77 Solna, Sweden;
- Department of Immunology, Genetics and Pathology, Uppsala University, Dag Hammarskjöldsväg 20, 752 37 Uppsala, Sweden; (F.H.); (C.L.); (O.C.-B.)
- Correspondence: ; Tel.: +46-73-956-7077
| | - Anders J. Kolnes
- Section of Specialized Endocrinology, Department of Endocrinology, Oslo University Hospital, Rikshospitalet, Pb. 4950 Nydalen, 0424 Oslo, Norway; (A.J.K.); (N.C.O.); (K.A.B.Ø.); (A.P.J.); (J.B.)
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Box 1072 Blindern, 0316 Oslo, Norway
| | - Nicoleta C. Olarescu
- Section of Specialized Endocrinology, Department of Endocrinology, Oslo University Hospital, Rikshospitalet, Pb. 4950 Nydalen, 0424 Oslo, Norway; (A.J.K.); (N.C.O.); (K.A.B.Ø.); (A.P.J.); (J.B.)
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Box 1072 Blindern, 0316 Oslo, Norway
| | - Nicholas Mitsios
- Department of Neuroscience, Karolinska Institutet, Solnavägen 1, 171 77 Solna, Sweden;
| | - Feria Hikmet
- Department of Immunology, Genetics and Pathology, Uppsala University, Dag Hammarskjöldsväg 20, 752 37 Uppsala, Sweden; (F.H.); (C.L.); (O.C.-B.)
| | - Åsa Sivertsson
- Department of Protein Science, Science for Life Laboratory, KTH-Royal Institute of Technology, Tomtebodavägen 23a, 171 65 Solna, Sweden;
| | - Cecilia Lindskog
- Department of Immunology, Genetics and Pathology, Uppsala University, Dag Hammarskjöldsväg 20, 752 37 Uppsala, Sweden; (F.H.); (C.L.); (O.C.-B.)
| | - Kristin A. B. Øystese
- Section of Specialized Endocrinology, Department of Endocrinology, Oslo University Hospital, Rikshospitalet, Pb. 4950 Nydalen, 0424 Oslo, Norway; (A.J.K.); (N.C.O.); (K.A.B.Ø.); (A.P.J.); (J.B.)
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Box 1072 Blindern, 0316 Oslo, Norway
| | - Anders P. Jørgensen
- Section of Specialized Endocrinology, Department of Endocrinology, Oslo University Hospital, Rikshospitalet, Pb. 4950 Nydalen, 0424 Oslo, Norway; (A.J.K.); (N.C.O.); (K.A.B.Ø.); (A.P.J.); (J.B.)
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Box 1072 Blindern, 0316 Oslo, Norway
| | - Jens Bollerslev
- Section of Specialized Endocrinology, Department of Endocrinology, Oslo University Hospital, Rikshospitalet, Pb. 4950 Nydalen, 0424 Oslo, Norway; (A.J.K.); (N.C.O.); (K.A.B.Ø.); (A.P.J.); (J.B.)
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Box 1072 Blindern, 0316 Oslo, Norway
| | - Olivera Casar-Borota
- Department of Immunology, Genetics and Pathology, Uppsala University, Dag Hammarskjöldsväg 20, 752 37 Uppsala, Sweden; (F.H.); (C.L.); (O.C.-B.)
- Department of Clinical Pathology, Uppsala University Hospital, 75185 Uppsala, Sweden
- Department of Pathology, Oslo University Hospital, Oslo University Hospital, Rikshospitalet, Pb. 4950 Nydalen, 0424 Oslo, Norway
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