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Aguilan JT, Lim J, Racine-Brzostek S, Fischer J, Silvescu C, Cornett S, Nieves E, Mendu DR, Aliste CM, Semple S, Angeletti R, Weiss LM, Cole A, Prystowsky M, Pullman J, Sidoli S. Effect of dynamic exclusion and the use of FAIMS, DIA and MALDI-mass spectrometry imaging with ion mobility on amyloid protein identification. Clin Proteomics 2024; 21:47. [PMID: 38961380 PMCID: PMC11223398 DOI: 10.1186/s12014-024-09500-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2024] [Accepted: 06/26/2024] [Indexed: 07/05/2024] Open
Abstract
Amyloidosis is a disease characterized by local and systemic extracellular deposition of amyloid protein fibrils where its excessive accumulation in tissues and resistance to degradation can lead to organ failure. Diagnosis is challenging because of approximately 36 different amyloid protein subtypes. Imaging methods like immunohistochemistry and the use of Congo red staining of amyloid proteins for laser capture microdissection combined with liquid chromatography tandem mass spectrometry (LMD/LC-MS/MS) are two diagnostic methods currently used depending on the expertise of the pathology laboratory. Here, we demonstrate a streamlined in situ amyloid peptide spatial mapping by Matrix Assisted Laser Desorption Ionization-Mass Spectrometry Imaging (MALDI-MSI) combined with Trapped Ion Mobility Spectrometry for potential transthyretin (ATTR) amyloidosis subtyping. While we utilized the standard LMD/LC-MS/MS workflow for amyloid subtyping of 31 specimens from different organs, we also evaluated the potential introduction in the MS workflow variations in data acquisition parameters like dynamic exclusion, or testing Data Dependent Acquisition combined with High-Field Asymmetric Waveform Ion Mobility Spectrometry (DDA FAIMS) versus Data Independent Acquisition (DIA) for enhanced amyloid protein identification at shorter acquisition times. We also demonstrate the use of Mascot's Error Tolerant Search and PEAKS de novo sequencing for the sequence variant analysis of amyloidosis specimens.
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Affiliation(s)
- Jennifer T Aguilan
- Laboratory for Macromolecular Analysis and Proteomics Facility, Albert Einstein College of Medicine, New York, 10461, USA
- Department of Pathology, Albert Einstein College of Medicine, New York, 10461, USA
- Montefiore Medical Center, Moses and Weiler Campus, New York, 10461, USA
| | - Jihyeon Lim
- Janssen Research and Development, Malvern, PA, USA
| | | | | | | | | | - Edward Nieves
- Laboratory for Macromolecular Analysis and Proteomics Facility, Albert Einstein College of Medicine, New York, 10461, USA
- Department of Biochemistry, Albert Einstein College of Medicine, Bronx, NY, 10461, USA
| | - Damodara Rao Mendu
- Clinical Chemistry Laboratory, Mount Sinai School of Medicine, New York, USA
| | - Carlos-Madrid Aliste
- Laboratory for Macromolecular Analysis and Proteomics Facility, Albert Einstein College of Medicine, New York, 10461, USA
- Department of Systems and Computational Biology, Albert Einstein College of Medicine, New York, 10461, USA
| | | | - Ruth Angeletti
- Laboratory for Macromolecular Analysis and Proteomics Facility, Albert Einstein College of Medicine, New York, 10461, USA
| | - Louis M Weiss
- Department of Pathology, Albert Einstein College of Medicine, New York, 10461, USA
- Montefiore Medical Center, Moses and Weiler Campus, New York, 10461, USA
| | - Adam Cole
- Montefiore Medical Center, Moses and Weiler Campus, New York, 10461, USA
| | - Michael Prystowsky
- Department of Pathology, Albert Einstein College of Medicine, New York, 10461, USA
- Montefiore Medical Center, Moses and Weiler Campus, New York, 10461, USA
| | - James Pullman
- Montefiore Medical Center, Moses and Weiler Campus, New York, 10461, USA
| | - Simone Sidoli
- Department of Biochemistry, Albert Einstein College of Medicine, Bronx, NY, 10461, USA.
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Park HE, Han D, Lee JS, Nikas IP, Kim H, Yang S, Lee H, Ryu HS. Comparison of Breast Fine-Needle Aspiration Cytology and Tissue Sampling for High-Throughput Proteomic Analysis and Cancer Biomarker Detection. Pathobiology 2024:1-11. [PMID: 38815563 DOI: 10.1159/000539478] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2023] [Accepted: 04/15/2024] [Indexed: 06/01/2024] Open
Abstract
INTRODUCTION Fine-needle aspiration cytology (FNAC) specimens are widely utilized for the diagnosis and molecular testing of various cancers. We performed a comparative proteomic analysis of three different sample types, including breast FNAC, core needle biopsy (CNB), and surgical resection tissues. Our goal was to evaluate the suitability of FNAC for in-depth proteomic analysis and for identifying potential therapeutic biomarkers in breast cancer. METHODS High-throughput proteomic analysis was conducted on matched FNAC, CNB, and surgical resection tissue samples obtained from breast cancer patients. The protein identification, including currently established or promising therapeutic targets, was compared among the three different sample types. Gene Ontology (GO) enrichment analysis was also performed on all matched samples. RESULTS Compared to tissue samples, FNAC testing revealed a comparable number of proteins (7,179 in FNAC; 7,196 in CNB; and 7,190 in resection samples). Around 85% of proteins were mutually identified in all sample types. FNAC, along with CNB, showed a positive correlation between the number of enrolled tumor cells and identified proteins. In the GO analysis, the FNAC samples demonstrated a higher number of genes for each pathway and GO terms than tissue samples. CCND1, CDK6, HER2, and IGF1R were found in higher quantities in the FNAC compared to tissue samples, while TUBB2A was only detected in the former. CONCLUSION FNAC is suitable for high-throughput proteomic analysis, in addition to an emerging source that could be used to identify and quantify novel cancer biomarkers.
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Affiliation(s)
- Hye Eun Park
- Department of Pathology, Seoul National University Boramae Hospital, Seoul, Republic of Korea
- Department of Pathology, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Dohyun Han
- Transdisciplinary Department of Medicine and Advanced Technology, Seoul National University Hospital, Seoul, Republic of Korea
- Proteomics Core Facility, Biomedical Research Institute, Seoul National University Hospital, Seoul, Republic of Korea
| | - Jae Seok Lee
- Department of Pathology, Samsung Changwon Hospital, Sungkyunkwan University School of Medicine, Changwon, Republic of Korea
| | - Ilias P Nikas
- School of Medicine, European University Cyprus, Nicosia, Cyprus
| | - Hyeyoon Kim
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington, USA
| | - Sohyeon Yang
- Department of Pathology, Seoul National University Hospital, Seoul, Republic of Korea
- Department of Pathology, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Hyebin Lee
- Department of Radiation Oncology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Han Suk Ryu
- Department of Pathology, Seoul National University Hospital, Seoul, Republic of Korea
- Department of Pathology, Seoul National University College of Medicine, Seoul, Republic of Korea
- Cancer Research Institute, Seoul National University, Seoul, Republic of Korea
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3
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Wang YE, Zeng WL, Cao ST, Zou JP, Liu CT, Shi JM, Li J, Qiu F, Wang Y. Development of a sample preparation method for micro-proteomics analysis of the formaldehyde-fixed paraffin-embedded liver tissue samples. Talanta 2024; 266:125106. [PMID: 37639870 DOI: 10.1016/j.talanta.2023.125106] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Revised: 08/16/2023] [Accepted: 08/21/2023] [Indexed: 08/31/2023]
Abstract
Liver micro-proteomics based on the routinely used formaldehyde-fixed paraffin-embedded (FFPE) samples is valuable for innovative research, but the technical approach for sample preparation is often challenging. In this study, we aimed to develop a method for sample preparation for micro-proteomics on using the FFPE liver samples. We collected 2000 individual cells per batch from FFPE liver slices with laser capture microdissection and used them as test samples. We used the microscale fresh-frozen liver samples or HepG2 cells as control samples. For the FFPE samples, we first established a procedure for protein extraction. 2 h incubation at 95 °C in alkaline amine buffer supplemented with 4% sodium dodecyl sulfate allows improved production, efficiency, and quality of protein extraction. Then, we developed a dedicated protocol HDMSP for the micro-concentrated (<0.05 μg/μL) protein preparation for mass spectrometry (MS) based analysis, in which 2 μg/μL carboxyl magnetic beads and 70% acetonitrile are used to induce protein precipitation. For the 0.01 μg/μL protein control samples, protein recovery rate (PRR) by HDMSP is 72.1%, while the PRR is 5.9% if using a standard method solid phase-enhanced sample preparation. For the FFPE samples, the HDMSP PRR is 88.8%, and the subsequent MS analysis demonstrates increased depth, robustness, and quantitation accuracy for HDMSP relative to the control of in-gel digestion. Moreover, the physicochemical properties and subcellular location of the FFPE liver micro-proteome are comparable to those of the fresh-frozen control samples processed with filter-aided sample preparation (FASP). HDMSP is also comparable to FASP in terms of reproducibility and physicochemical properties in liver subcellular proteomes, and meanwhile reduces the sample preparation time by 15.9% and the experimental cost by 30.8%. Overall, the new method is simple and highly effective for preparing the microscale FFPE liver protein samples for MS analysis. This study provides a useful solution for FFPE liver micro-proteomics.
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Affiliation(s)
- Yong-Er Wang
- Biomedical Research Center, Southern Medical University, Guangzhou, China; School of Pharmaceutical Science, Southern Medical University, Guangzhou, China
| | - Wei-Lan Zeng
- Biomedical Research Center, Southern Medical University, Guangzhou, China; School of Pharmaceutical Science, Southern Medical University, Guangzhou, China
| | - Sheng-Tian Cao
- Biomedical Research Center, Southern Medical University, Guangzhou, China; School of Pharmaceutical Science, Southern Medical University, Guangzhou, China
| | - Jun-Peng Zou
- Biomedical Research Center, Southern Medical University, Guangzhou, China; School of Pharmaceutical Science, Southern Medical University, Guangzhou, China
| | - Cui-Ting Liu
- Biomedical Research Center, Southern Medical University, Guangzhou, China
| | - Jun-Min Shi
- Biomedical Research Center, Southern Medical University, Guangzhou, China
| | - Jing Li
- Biomedical Research Center, Southern Medical University, Guangzhou, China
| | - Feng Qiu
- The Seventh Affiliated Hospital of Southern Medical University, Foshan, China.
| | - Yan Wang
- Biomedical Research Center, Southern Medical University, Guangzhou, China; School of Pharmaceutical Science, Southern Medical University, Guangzhou, China; The Seventh Affiliated Hospital of Southern Medical University, Foshan, China; School of Traditional Chinese Medicine, Southern Medical University, Guangzhou, China; Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Nanfang Hospital, Southern Medical University, Guangzhou, China.
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4
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Wamsley NT, Wilkerson EM, Guan L, LaPak KM, Schrank TP, Holmes BJ, Sprung RW, Gilmore PE, Gerndt SP, Jackson RS, Paniello RC, Pipkorn P, Puram SV, Rich JT, Townsend RR, Zevallos JP, Zolkind P, Le QT, Goldfarb D, Major MB. Targeted Proteomic Quantitation of NRF2 Signaling and Predictive Biomarkers in HNSCC. Mol Cell Proteomics 2023; 22:100647. [PMID: 37716475 PMCID: PMC10587640 DOI: 10.1016/j.mcpro.2023.100647] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Revised: 09/11/2023] [Accepted: 09/13/2023] [Indexed: 09/18/2023] Open
Abstract
The NFE2L2 (NRF2) oncogene and transcription factor drives a gene expression program that promotes cancer progression, metabolic reprogramming, immune evasion, and chemoradiation resistance. Patient stratification by NRF2 activity may guide treatment decisions to improve outcome. Here, we developed a mass spectrometry-based targeted proteomics assay based on internal standard-triggered parallel reaction monitoring to quantify 69 NRF2 pathway components and targets, as well as 21 proteins of broad clinical significance in head and neck squamous cell carcinoma (HNSCC). We improved an existing internal standard-triggered parallel reaction monitoring acquisition algorithm, called SureQuant, to increase throughput, sensitivity, and precision. Testing the optimized platform on 27 lung and upper aerodigestive cancer cell models revealed 35 NRF2 responsive proteins. In formalin-fixed paraffin-embedded HNSCCs, NRF2 signaling intensity positively correlated with NRF2-activating mutations and with SOX2 protein expression. Protein markers of T-cell infiltration correlated positively with one another and with human papilloma virus infection status. CDKN2A (p16) protein expression positively correlated with the human papilloma virus oncogenic E7 protein and confirmed the presence of translationally active virus. This work establishes a clinically actionable HNSCC protein biomarker assay capable of quantifying over 600 peptides from frozen or formalin-fixed paraffin-embedded archived tissues in under 90 min.
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Affiliation(s)
- Nathan T Wamsley
- Department of Cell Biology and Physiology, Washington University in St Louis, St Louis, Missouri, USA
| | - Emily M Wilkerson
- Department of Cell Biology and Physiology, Washington University in St Louis, St Louis, Missouri, USA
| | - Li Guan
- Department of Radiation Oncology, Stanford University, Stanford, California, USA
| | - Kyle M LaPak
- Department of Cell Biology and Physiology, Washington University in St Louis, St Louis, Missouri, USA
| | - Travis P Schrank
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Brittany J Holmes
- Department of Pathology, Stanford University School of Medicine, Stanford, California, USA
| | - Robert W Sprung
- Department of Medicine, Washington University School of Medicine, St Louis, Missouri, USA
| | - Petra Erdmann Gilmore
- Department of Medicine, Washington University School of Medicine, St Louis, Missouri, USA
| | - Sophie P Gerndt
- Department of Otolaryngology/Head and Neck Surgery, Washington University School of Medicine, St Louis, Missouri, USA
| | - Ryan S Jackson
- Department of Otolaryngology/Head and Neck Surgery, Washington University School of Medicine, St Louis, Missouri, USA
| | - Randal C Paniello
- Department of Otolaryngology/Head and Neck Surgery, Washington University School of Medicine, St Louis, Missouri, USA
| | - Patrik Pipkorn
- Department of Otolaryngology/Head and Neck Surgery, Washington University School of Medicine, St Louis, Missouri, USA
| | - Sidharth V Puram
- Department of Otolaryngology/Head and Neck Surgery, Washington University School of Medicine, St Louis, Missouri, USA
| | - Jason T Rich
- Department of Otolaryngology/Head and Neck Surgery, Washington University School of Medicine, St Louis, Missouri, USA
| | - Reid R Townsend
- Department of Medicine, Washington University School of Medicine, St Louis, Missouri, USA
| | - José P Zevallos
- Department of Otolaryngology/Head and Neck Surgery, Washington University School of Medicine, St Louis, Missouri, USA
| | - Paul Zolkind
- Department of Otolaryngology/Head and Neck Surgery, Washington University School of Medicine, St Louis, Missouri, USA
| | - Quynh-Thu Le
- Department of Radiation Oncology, Stanford University, Stanford, California, USA
| | - Dennis Goldfarb
- Department of Cell Biology and Physiology, Washington University in St Louis, St Louis, Missouri, USA; Institute for Informatics, Washington University in St Louis, St Louis, Missouri, USA.
| | - Michael B Major
- Department of Cell Biology and Physiology, Washington University in St Louis, St Louis, Missouri, USA; Department of Otolaryngology/Head and Neck Surgery, Washington University School of Medicine, St Louis, Missouri, USA.
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Pu J, Xue C, Huo S, Shen Q, Qu Y, Yang X, An B, Angel TE, Chen Z, Mehl JT, Tang H, Yang E, Sikorski TW, Qu J. Highly Accurate and Robust Absolute Quantification of Target Proteins in Formalin-Fixed Paraffin-Embedded (FFPE) Tissues by LC-MS. Anal Chem 2023; 95:924-934. [PMID: 36534410 PMCID: PMC10581745 DOI: 10.1021/acs.analchem.2c03473] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Accurate, absolute liquid chromatography-mass spectrometry (LC-MS)-based quantification of target proteins in formalin-fixed paraffin-embedded (FFPE) tissues would greatly expand sample availability for pharmaceutical/clinical investigations but remains challenging owing to the following issues: (i) efficient/quantitative recovery of target signature peptides from FFPE tissues is essential but an optimal procedure for targeted, absolute quantification is lacking; (ii) most FFPE samples are long-term-stored; severe immunohistochemistry (IHC) signal losses of target proteins during storage were widely reported, while the effect of storage on LC-MS-based methods was unknown; and (iii) the proper strategy to prepare calibration/quality-control samples to ensure accurate targeted protein analysis in FFPE tissues remained elusive. Using targeted quantification of monoclonal antibody (mAb), antigen, and 40 tissue markers in FFPE tissues as a model system, we extensively investigate those issues and develope an LC-MS-based strategy enabling accurate and precise targeted protein quantification in FFPE samples. First, we demonstrated a surfactant cocktail-based procedure (f-SEPOD), providing high/reproducible recovery of target signature peptides from FFPE tissues. Second, a heat-accelerated degradation study within a roughly estimated 5 year storage period recapitulated the loss of protein IHC signals while LC-MS signals of all targets remained constant. This indicates that the storage of FFPE tissues mainly causes decreased immunoreactivity but unlikely chemical degradation of proteins, which strongly suggests that the storage of FFPE tissues does not cause significant quantitative bias for LC-MS-based methods. Third, while a conventional spike-and-extract approach for calibration caused substantial negative biases, a novel approach, using FFPE-treated calibration standards, enabled accurate and precise quantification. With the pipeline, we conducted the first-ever pharmacokinetics measurement of mAb and its target in FFPE tissues, where time courses by FFPE vs fresh tissues showed excellent correlation.
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Affiliation(s)
- Jie Pu
- Department of Pharmaceutical Sciences, University at Buffalo, State University of New York, Buffalo, New York 14214, United States
| | - Chao Xue
- Department of Chemical and Biological Engineering, University at Buffalo, State University of New York, Buffalo, New York 14214, United States
| | - Shihan Huo
- Department of Pharmaceutical Sciences, University at Buffalo, State University of New York, Buffalo, New York 14214, United States
| | - Qingqing Shen
- Department of Pharmaceutical Sciences, University at Buffalo, State University of New York, Buffalo, New York 14214, United States
| | - Yang Qu
- Department of Pharmaceutical Sciences, University at Buffalo, State University of New York, Buffalo, New York 14214, United States; New York State Center of Excellence in Bioinformatics and Life Sciences, Buffalo, New York 14203, United States
| | - Xinxin Yang
- Department of Pharmaceutical Sciences, University at Buffalo, State University of New York, Buffalo, New York 14214, United States
| | - Bo An
- Bioanalysis, Immunogenicity & Biomarkers, In-Vitro/In-Vivo Translation, R&D Research, GlaxoSmithKline, Collegeville, Pennsylvania 19426, United States
| | - Thomas E. Angel
- Bioanalysis, Immunogenicity & Biomarkers, In-Vitro/In-Vivo Translation, R&D Research, GlaxoSmithKline, Collegeville, Pennsylvania 19426, United States
| | - Zhuo Chen
- Bioanalysis, Immunogenicity & Biomarkers, In-Vitro/In-Vivo Translation, R&D Research, GlaxoSmithKline, Collegeville, Pennsylvania 19426, United States
| | - John T. Mehl
- Bioanalysis, Immunogenicity & Biomarkers, In-Vitro/In-Vivo Translation, R&D Research, GlaxoSmithKline, Collegeville, Pennsylvania 19426, United States
| | - Huaping Tang
- Bioanalysis, Immunogenicity & Biomarkers, In-Vitro/In-Vivo Translation, R&D Research, GlaxoSmithKline, Collegeville, Pennsylvania 19426, United States
| | - Eric Yang
- Bioanalysis, Immunogenicity & Biomarkers, In-Vitro/In-Vivo Translation, R&D Research, GlaxoSmithKline, Collegeville, Pennsylvania 19426, United States
| | - Timothy W. Sikorski
- Bioanalysis, Immunogenicity & Biomarkers, In-Vitro/In-Vivo Translation, R&D Research, GlaxoSmithKline, Collegeville, Pennsylvania 19426, United States; Phone: (610) 270-4978
| | - Jun Qu
- Department of Pharmaceutical Sciences, University at Buffalo, State University of New York, Buffalo, New York 14214, United States; New York State Center of Excellence in Bioinformatics and Life Sciences, Buffalo, New York 14203, United States
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6
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A Non-Hazardous Deparaffinization Protocol Enables Quantitative Proteomics of Core Needle Biopsy-Sized Formalin-Fixed and Paraffin-Embedded (FFPE) Tissue Specimens. Int J Mol Sci 2022; 23:ijms23084443. [PMID: 35457260 PMCID: PMC9031572 DOI: 10.3390/ijms23084443] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Revised: 04/09/2022] [Accepted: 04/11/2022] [Indexed: 12/22/2022] Open
Abstract
Most human tumor tissues that are obtained for pathology and diagnostic purposes are formalin-fixed and paraffin-embedded (FFPE). To perform quantitative proteomics of FFPE samples, paraffin has to be removed and formalin-induced crosslinks have to be reversed prior to proteolytic digestion. A central component of almost all deparaffinization protocols is xylene, a toxic and highly flammable solvent that has been reported to negatively affect protein extraction and quantitative proteome analysis. Here, we present a 'green' xylene-free protocol for accelerated sample preparation of FFPE tissues based on paraffin-removal with hot water. Combined with tissue homogenization using disposable micropestles and a modified protein aggregation capture (PAC) digestion protocol, our workflow enables streamlined and reproducible quantitative proteomic profiling of FFPE tissue. Label-free quantitation of FFPE cores from human ductal breast carcinoma in situ (DCIS) xenografts with a volume of only 0.79 mm3 showed a high correlation between replicates (r2 = 0.992) with a median %CV of 16.9%. Importantly, this small volume is already compatible with tissue micro array (TMA) cores and core needle biopsies, while our results and its ease-of-use indicate that further downsizing is feasible. Finally, our FFPE workflow does not require costly equipment and can be established in every standard clinical laboratory.
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7
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Asleh K, Negri GL, Spencer Miko SE, Colborne S, Hughes CS, Wang XQ, Gao D, Gilks CB, Chia SKL, Nielsen TO, Morin GB. Proteomic analysis of archival breast cancer clinical specimens identifies biological subtypes with distinct survival outcomes. Nat Commun 2022; 13:896. [PMID: 35173148 PMCID: PMC8850446 DOI: 10.1038/s41467-022-28524-0] [Citation(s) in RCA: 49] [Impact Index Per Article: 24.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Accepted: 01/24/2022] [Indexed: 12/14/2022] Open
Abstract
Despite advances in genomic classification of breast cancer, current clinical tests and treatment decisions are commonly based on protein level information. Formalin-fixed paraffin-embedded (FFPE) tissue specimens with extended clinical outcomes are widely available. Here, we perform comprehensive proteomic profiling of 300 FFPE breast cancer surgical specimens, 75 of each PAM50 subtype, from patients diagnosed in 2008-2013 (n = 178) and 1986-1992 (n = 122) with linked clinical outcomes. These two cohorts are analyzed separately, and we quantify 4214 proteins across all 300 samples. Within the aggressive PAM50-classified basal-like cases, proteomic profiling reveals two groups with one having characteristic immune hot expression features and highly favorable survival. Her2-Enriched cases separate into heterogeneous groups differing by extracellular matrix, lipid metabolism, and immune-response features. Within 88 triple-negative breast cancers, four proteomic clusters display features of basal-immune hot, basal-immune cold, mesenchymal, and luminal with disparate survival outcomes. Our proteomic analysis characterizes the heterogeneity of breast cancer in a clinically-applicable manner, identifies potential biomarkers and therapeutic targets, and provides a resource for clinical breast cancer classification.
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Affiliation(s)
- Karama Asleh
- Genetic Pathology Evaluation Centre, Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
- Interdisciplinary Oncology Program, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Gian Luca Negri
- Canada's Michael Smith Genome Sciences Centre, BC Cancer Research Institute, University of British Columbia, Vancouver, BC, Canada
| | - Sandra E Spencer Miko
- Canada's Michael Smith Genome Sciences Centre, BC Cancer Research Institute, University of British Columbia, Vancouver, BC, Canada
| | - Shane Colborne
- Canada's Michael Smith Genome Sciences Centre, BC Cancer Research Institute, University of British Columbia, Vancouver, BC, Canada
| | - Christopher S Hughes
- Department of Molecular Oncology, BC Cancer Research Institute, University of British Columbia, Vancouver, BC, Canada
| | - Xiu Q Wang
- Genetic Pathology Evaluation Centre, Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Dongxia Gao
- Genetic Pathology Evaluation Centre, Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
| | - C Blake Gilks
- Division of Anatomical Pathology, Vancouver General Hospital, University of British Columbia, Vancouver, Canada
- Canadian Immunohistochemistry Quality Control, University of British Columbia, Vancouver, BC, Canada
| | - Stephen K L Chia
- Division of Medical Oncology, British Columbia Cancer Centre, University of British Columbia, Vancouver, BC, Canada
| | - Torsten O Nielsen
- Genetic Pathology Evaluation Centre, Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
- Division of Anatomical Pathology, Vancouver General Hospital, University of British Columbia, Vancouver, Canada
| | - Gregg B Morin
- Canada's Michael Smith Genome Sciences Centre, BC Cancer Research Institute, University of British Columbia, Vancouver, BC, Canada.
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada.
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8
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Friedrich C, Schallenberg S, Kirchner M, Ziehm M, Niquet S, Haji M, Beier C, Neudecker J, Klauschen F, Mertins P. Comprehensive micro-scaled proteome and phosphoproteome characterization of archived retrospective cancer repositories. Nat Commun 2021; 12:3576. [PMID: 34117251 PMCID: PMC8196151 DOI: 10.1038/s41467-021-23855-w] [Citation(s) in RCA: 42] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2020] [Accepted: 05/17/2021] [Indexed: 02/07/2023] Open
Abstract
Formalin-fixed paraffin-embedded (FFPE) tissues are a valuable resource for retrospective clinical studies. Here, we evaluate the feasibility of (phospho-)proteomics on FFPE lung tissue regarding protein extraction, quantification, pre-analytics, and sample size. After comparing protein extraction protocols, we use the best-performing protocol for the acquisition of deep (phospho-)proteomes from lung squamous cell and adenocarcinoma with >8,000 quantified proteins and >14,000 phosphosites with a tandem mass tag (TMT) approach. With a microscaled approach, we quantify 7,000 phosphosites, enabling the analysis of FFPE biopsies with limited tissue amounts. We also investigate the influence of pre-analytical variables including fixation time and heat-assisted de-crosslinking on protein extraction efficiency and proteome coverage. Our improved workflows provide quantitative information on protein abundance and phosphosite regulation for the most relevant oncogenes, tumor suppressors, and signaling pathways in lung cancer. Finally, we present general guidelines to which methods are best suited for different applications, highlighting TMT methods for comprehensive (phospho-)proteome profiling for focused clinical studies and label-free methods for large cohorts.
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Affiliation(s)
- Corinna Friedrich
- German Cancer Consortium (DKTK), partner site Berlin, Berlin, Germany ,grid.7497.d0000 0004 0492 0584German Cancer Research Center (DKFZ), Heidelberg, Germany ,grid.7468.d0000 0001 2248 7639Institute of Pathology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany ,grid.419491.00000 0001 1014 0849Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), MDC graduate school, Berlin, Germany ,grid.7468.d0000 0001 2248 7639Humboldt Universität zu Berlin, Institute of Chemistry, Berlin, Germany
| | - Simon Schallenberg
- grid.7468.d0000 0001 2248 7639Institute of Pathology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Marieluise Kirchner
- grid.419491.00000 0001 1014 0849Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Proteomics Platform, Berlin, Germany ,grid.484013.aBerlin Institute of Health at Charité – Universitätsmedizin Berlin, Berlin, Germany
| | - Matthias Ziehm
- grid.419491.00000 0001 1014 0849Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Proteomics Platform, Berlin, Germany ,grid.484013.aBerlin Institute of Health at Charité – Universitätsmedizin Berlin, Berlin, Germany
| | - Sylvia Niquet
- grid.419491.00000 0001 1014 0849Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Proteomics Platform, Berlin, Germany ,grid.484013.aBerlin Institute of Health at Charité – Universitätsmedizin Berlin, Berlin, Germany
| | - Mohamed Haji
- grid.419491.00000 0001 1014 0849Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Proteomics Platform, Berlin, Germany
| | - Christin Beier
- grid.419491.00000 0001 1014 0849Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Proteomics Platform, Berlin, Germany
| | - Jens Neudecker
- grid.6363.00000 0001 2218 4662Department of Surgery - Campus Charité Mitte and Campus Virchow-Klinikum, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Frederick Klauschen
- German Cancer Consortium (DKTK), partner site Berlin, Berlin, Germany ,grid.7497.d0000 0004 0492 0584German Cancer Research Center (DKFZ), Heidelberg, Germany ,grid.7468.d0000 0001 2248 7639Institute of Pathology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany ,grid.484013.aBerlin Institute of Health at Charité – Universitätsmedizin Berlin, Berlin, Germany ,grid.5252.00000 0004 1936 973XInstitute of Pathology, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Philipp Mertins
- German Cancer Consortium (DKTK), partner site Berlin, Berlin, Germany ,grid.7497.d0000 0004 0492 0584German Cancer Research Center (DKFZ), Heidelberg, Germany ,grid.419491.00000 0001 1014 0849Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Proteomics Platform, Berlin, Germany ,grid.484013.aBerlin Institute of Health at Charité – Universitätsmedizin Berlin, Berlin, Germany
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9
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Pirog A, Faktor J, Urban-Wojciuk Z, Kote S, Chruściel E, Arcimowicz Ł, Marek-Trzonkowska N, Vojtesek B, Hupp TR, Al Shboul S, Brennan PM, Smoleński RT, Goodlett DR, Dapic I. Comparison of different digestion methods for proteomic analysis of isolated cells and FFPE tissue samples. Talanta 2021; 233:122568. [PMID: 34215064 DOI: 10.1016/j.talanta.2021.122568] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Revised: 05/22/2021] [Accepted: 05/26/2021] [Indexed: 12/14/2022]
Abstract
Proteomics of human tissues and isolated cellular subpopulations create new opportunities for therapy and monitoring of a patients' treatment in the clinic. Important considerations in such analysis include recovery of adequate amounts of protein for analysis and reproducibility in sample collection. In this study we compared several protocols for proteomic sample preparation: i) filter-aided sample preparation (FASP), ii) in-solution digestion (ISD) and iii) a pressure-assisted digestion (PCT) method. PCT method is known for already a decade [1], however it is not widely used in proteomic research. We assessed protocols for proteome profiling of isolated immune cell subsets and formalin-fixed paraffin embedded (FFPE) tissue samples. Our results show that the ISD method has very good efficiency of protein and peptide identification from the whole proteome, while the FASP method is particularly effective in identification of membrane proteins. Pressure-assisted digestion methods generally provide lower numbers of protein/peptide identifications, but have gained in popularity due to their shorter digestion time making them considerably faster than for ISD or FASP. Furthermore, PCT does not result in substantial sample loss when applied to samples of 50 000 cells. Analysis of FFPE tissues shows comparable results. ISD method similarly yields the highest number of identifications. Furthermore, proteins isolated from FFPE samples show a significant reduction of cleavages at lysine sites due to chemical modifications with formaldehyde-such as methylation (+14 Da) being among the most common. The data we present will be helpful for making decisions about the robust preparation of clinical samples for biomarker discovery and studies on pathomechanisms of various diseases.
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Affiliation(s)
- Artur Pirog
- International Centre for Cancer Vaccine Science, University of Gdansk, Kładki 24, 80-822, Gdańsk, Poland
| | - Jakub Faktor
- International Centre for Cancer Vaccine Science, University of Gdansk, Kładki 24, 80-822, Gdańsk, Poland
| | - Zuzanna Urban-Wojciuk
- International Centre for Cancer Vaccine Science, University of Gdansk, Kładki 24, 80-822, Gdańsk, Poland
| | - Sachin Kote
- International Centre for Cancer Vaccine Science, University of Gdansk, Kładki 24, 80-822, Gdańsk, Poland
| | - Elżbieta Chruściel
- International Centre for Cancer Vaccine Science, University of Gdansk, Kładki 24, 80-822, Gdańsk, Poland
| | - Łukasz Arcimowicz
- International Centre for Cancer Vaccine Science, University of Gdansk, Kładki 24, 80-822, Gdańsk, Poland
| | - Natalia Marek-Trzonkowska
- International Centre for Cancer Vaccine Science, University of Gdansk, Kładki 24, 80-822, Gdańsk, Poland; Laboratory of Immunoregulation and Cellular Therapies, Department of Family Medicine, Medical University of Gdańsk, Dębinki 2, 80-210, Gdańsk, Poland
| | - Borek Vojtesek
- Research Centre for Applied Molecular Oncology (RECAMO), Masaryk Memorial Cancer Institute, 656 53, Brno, Czech Republic
| | - Ted R Hupp
- International Centre for Cancer Vaccine Science, University of Gdansk, Kładki 24, 80-822, Gdańsk, Poland; Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, Scotland, EH4 2XR, United Kingdom
| | - Sofian Al Shboul
- Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, Scotland, EH4 2XR, United Kingdom; Department of Basic Medical Sciences, Faculty of Medicine, The Hashemite University, Zarqa, Jordan
| | - Paul M Brennan
- Translational Neurosurgery, Centre for Clinical Brain Sciences, Bioquarter, University of Edinburgh, Edinburgh, UK
| | | | - David R Goodlett
- International Centre for Cancer Vaccine Science, University of Gdansk, Kładki 24, 80-822, Gdańsk, Poland; Department of Biochemistry and Microbiology, University of Victoria, Victoria, British Columbia, V8P 5C2, Canada
| | - Irena Dapic
- International Centre for Cancer Vaccine Science, University of Gdansk, Kładki 24, 80-822, Gdańsk, Poland.
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10
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Cotton S, Ferreira D, Soares J, Peixoto A, Relvas-Santos M, Azevedo R, Piairo P, Diéguez L, Palmeira C, Lima L, Silva AMN, Lara Santos L, Ferreira JA. Target Score-A Proteomics Data Selection Tool Applied to Esophageal Cancer Identifies GLUT1-Sialyl Tn Glycoforms as Biomarkers of Cancer Aggressiveness. Int J Mol Sci 2021; 22:ijms22041664. [PMID: 33562270 PMCID: PMC7915893 DOI: 10.3390/ijms22041664] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2021] [Revised: 01/28/2021] [Accepted: 02/02/2021] [Indexed: 02/07/2023] Open
Abstract
Esophageal cancer (EC) is a life-threatening disease, demanding the discovery of new biomarkers and molecular targets for precision oncology. Aberrantly glycosylated proteins hold tremendous potential towards this objective. In the current study, a series of esophageal squamous cell carcinomas (ESCC) and EC-derived circulating tumor cells (CTCs) were screened by immunoassays for the sialyl-Tn (STn) antigen, a glycan rarely expressed in healthy tissues and widely observed in aggressive gastrointestinal cancers. An ESCC cell model was glycoengineered to express STn and characterized in relation to cell proliferation and invasion in vitro. STn was found to be widely present in ESCC (70% of tumors) and in CTCs in 20% of patients, being associated with general recurrence and reduced survival. Furthermore, STn expression in ESCC cells increased invasion in vitro, while reducing cancer cells proliferation. In parallel, an ESCC mass spectrometry-based proteomics dataset, obtained from the PRIDE database, was comprehensively interrogated for abnormally glycosylated proteins. Data integration with the Target Score, an algorithm developed in-house, pinpointed the glucose transporter type 1 (GLUT1) as a biomarker of poor prognosis. GLUT1-STn glycoproteoforms were latter identified in tumor tissues in patients facing worst prognosis. Furthermore, healthy human tissues analysis suggested that STn glycosylation provided cancer specificity to GLUT1. In conclusion, STn is a biomarker of worst prognosis in EC and GLUT1-STn glycoforms may be used to increase its specificity on the stratification and targeting of aggressive ESCC forms.
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Affiliation(s)
- Sofia Cotton
- Experimental Pathology and Therapeutics Group, IPO Porto Research Center (CI-IPOP), Portuguese Oncology Institute (IPO Porto), 4200-072 Porto, Portugal; (S.C.); (D.F.); (J.S.); (A.P.); (M.R.-S.); (C.P.); (L.L.); (L.L.S.)
- Institute of Biomedical Sciences Abel Salazar (ICBAS), University of Porto, 4050-313 Porto, Portugal
- Institute for Research and Innovation in Health (i3S), University of Porto, 4200-135 Porto, Portugal
- Institute for Biomedical Engineering (INEB), 4200-135 Porto, Portugal
| | - Dylan Ferreira
- Experimental Pathology and Therapeutics Group, IPO Porto Research Center (CI-IPOP), Portuguese Oncology Institute (IPO Porto), 4200-072 Porto, Portugal; (S.C.); (D.F.); (J.S.); (A.P.); (M.R.-S.); (C.P.); (L.L.); (L.L.S.)
- Institute of Biomedical Sciences Abel Salazar (ICBAS), University of Porto, 4050-313 Porto, Portugal
- Institute for Research and Innovation in Health (i3S), University of Porto, 4200-135 Porto, Portugal
- Institute for Biomedical Engineering (INEB), 4200-135 Porto, Portugal
| | - Janine Soares
- Experimental Pathology and Therapeutics Group, IPO Porto Research Center (CI-IPOP), Portuguese Oncology Institute (IPO Porto), 4200-072 Porto, Portugal; (S.C.); (D.F.); (J.S.); (A.P.); (M.R.-S.); (C.P.); (L.L.); (L.L.S.)
- Institute of Biomedical Sciences Abel Salazar (ICBAS), University of Porto, 4050-313 Porto, Portugal
- QOPNA/LAQV, Department of Chemistry, Campus Universitário de Santiago, University of Aveiro, 3810-193 Aveiro, Portugal
| | - Andreia Peixoto
- Experimental Pathology and Therapeutics Group, IPO Porto Research Center (CI-IPOP), Portuguese Oncology Institute (IPO Porto), 4200-072 Porto, Portugal; (S.C.); (D.F.); (J.S.); (A.P.); (M.R.-S.); (C.P.); (L.L.); (L.L.S.)
- Institute for Research and Innovation in Health (i3S), University of Porto, 4200-135 Porto, Portugal
- Institute for Biomedical Engineering (INEB), 4200-135 Porto, Portugal
| | - Marta Relvas-Santos
- Experimental Pathology and Therapeutics Group, IPO Porto Research Center (CI-IPOP), Portuguese Oncology Institute (IPO Porto), 4200-072 Porto, Portugal; (S.C.); (D.F.); (J.S.); (A.P.); (M.R.-S.); (C.P.); (L.L.); (L.L.S.)
- Institute of Biomedical Sciences Abel Salazar (ICBAS), University of Porto, 4050-313 Porto, Portugal
- Institute for Research and Innovation in Health (i3S), University of Porto, 4200-135 Porto, Portugal
- Institute for Biomedical Engineering (INEB), 4200-135 Porto, Portugal
- REQUIMTE-LAQV, Department of Chemistry and Biochemistry, Faculty of Sciences, University of Porto, 4169-007 Porto, Portugal;
| | - Rita Azevedo
- Institute of Biomedicine, University of Turku, FI-20014 Turku, Finland;
| | - Paulina Piairo
- Medical Devices Research Group, International Iberian Nanotechnology Laboratory (INL), 4715-330 Braga, Portugal; (P.P.); (L.D.)
| | - Lorena Diéguez
- Medical Devices Research Group, International Iberian Nanotechnology Laboratory (INL), 4715-330 Braga, Portugal; (P.P.); (L.D.)
| | - Carlos Palmeira
- Experimental Pathology and Therapeutics Group, IPO Porto Research Center (CI-IPOP), Portuguese Oncology Institute (IPO Porto), 4200-072 Porto, Portugal; (S.C.); (D.F.); (J.S.); (A.P.); (M.R.-S.); (C.P.); (L.L.); (L.L.S.)
- Department of Immunology, Portuguese Institute of Oncology of Porto, 4200-072 Porto, Portugal
- Health Science Faculty, University of Fernando Pessoa, 4249-004 Porto, Portugal
| | - Luís Lima
- Experimental Pathology and Therapeutics Group, IPO Porto Research Center (CI-IPOP), Portuguese Oncology Institute (IPO Porto), 4200-072 Porto, Portugal; (S.C.); (D.F.); (J.S.); (A.P.); (M.R.-S.); (C.P.); (L.L.); (L.L.S.)
- Porto Comprehensive Cancer Center (P.ccc), 4200-072 Porto, Portugal
| | - André M. N. Silva
- REQUIMTE-LAQV, Department of Chemistry and Biochemistry, Faculty of Sciences, University of Porto, 4169-007 Porto, Portugal;
| | - Lúcio Lara Santos
- Experimental Pathology and Therapeutics Group, IPO Porto Research Center (CI-IPOP), Portuguese Oncology Institute (IPO Porto), 4200-072 Porto, Portugal; (S.C.); (D.F.); (J.S.); (A.P.); (M.R.-S.); (C.P.); (L.L.); (L.L.S.)
- Institute of Biomedical Sciences Abel Salazar (ICBAS), University of Porto, 4050-313 Porto, Portugal
- Health Science Faculty, University of Fernando Pessoa, 4249-004 Porto, Portugal
- Porto Comprehensive Cancer Center (P.ccc), 4200-072 Porto, Portugal
- Department of Surgical Oncology, Portuguese Institute of Oncology, 4200-072 Porto, Portugal
| | - José Alexandre Ferreira
- Experimental Pathology and Therapeutics Group, IPO Porto Research Center (CI-IPOP), Portuguese Oncology Institute (IPO Porto), 4200-072 Porto, Portugal; (S.C.); (D.F.); (J.S.); (A.P.); (M.R.-S.); (C.P.); (L.L.); (L.L.S.)
- Institute of Biomedical Sciences Abel Salazar (ICBAS), University of Porto, 4050-313 Porto, Portugal
- Porto Comprehensive Cancer Center (P.ccc), 4200-072 Porto, Portugal
- Correspondence: ; Tel.: +351-225-084-000 (ext. 5111)
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11
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Davalieva K, Kiprijanovska S, Dimovski A, Rosoklija G, Dwork AJ. Comparative evaluation of two methods for LC-MS/MS proteomic analysis of formalin fixed and paraffin embedded tissues. J Proteomics 2021; 235:104117. [PMID: 33453434 DOI: 10.1016/j.jprot.2021.104117] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2020] [Revised: 01/05/2021] [Accepted: 01/05/2021] [Indexed: 10/22/2022]
Abstract
The proteomics of formalin-fixed, paraffin-embedded (FFPE) samples has advanced significantly during the last two decades, but there are many protocols and few studies comparing them directly. There is no consensus on the most effective protocol for shotgun proteomic analysis. We compared the in-solution digestion with RapiGest and Filter Aided Sample Preparation (FASP) of FFPE prostate tissues stored 7 years and mirroring fresh frozen samples, using two label-free data-independent LC-MS/MS acquisitions. RapiGest identified more proteins than FASP, with almost identical numbers of proteins from fresh and FFPE tissues and 69% overlap, good preservation of high-MW proteins, no bias regarding isoelectric point, and greater technical reproducibility. On the other hand, FASP yielded 20% fewer protein identifications in FFPE than in fresh tissue, with 64-69% overlap, depletion of proteins >70 kDa, lower efficiency in acidic and neutral range, and lower technical reproducibility. Both protocols showed highly similar subcellular compartments distribution, highly similar percentages of extracted unique peptides from FFPE and fresh tissues and high positive correlation between the absolute quantitation values of fresh and FFPE proteins. In conclusion, RapiGest extraction of FFPE tissues delivers a proteome that closely resembles the fresh frozen proteome and should be preferred over FASP in biomarker and quantification studies. SIGNIFICANCE: Here we analyzed the performance of two sample preparation methods for shotgun proteomic analysis of FFPE tissues to give a comprehensive overview of the obtained proteomes and the resemblance to its matching fresh frozen counterparts. These findings give us better understanding towards competent proteomics analysis of FFPE tissues. It is hoped that it will encourage further assessments of available protocols before establishing the most effective protocol for shotgun proteomic FFPE tissue analysis.
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Affiliation(s)
- Katarina Davalieva
- Research Centre for Genetic Engineering and Biotechnology "Georgi D Efremov", Macedonian Academy of Sciences and Arts, Krste Misirkov 2, 1000 Skopje, North Macedonia.
| | - Sanja Kiprijanovska
- Research Centre for Genetic Engineering and Biotechnology "Georgi D Efremov", Macedonian Academy of Sciences and Arts, Krste Misirkov 2, 1000 Skopje, North Macedonia
| | - Aleksandar Dimovski
- Research Centre for Genetic Engineering and Biotechnology "Georgi D Efremov", Macedonian Academy of Sciences and Arts, Krste Misirkov 2, 1000 Skopje, North Macedonia; Faculty of Pharmacy, University "St. Cyril and Methodius", 50ta Divizija 6, 1000 Skopje, North Macedonia
| | - Gorazd Rosoklija
- Department of Psychiatry, Columbia University, New York, USA; Molecular Imaging and Neuropathology Division, New York State Psychiatric Institute, 1051 Riverside Drive, Unit 42, New York, NY 10032, USA
| | - Andrew J Dwork
- Department of Psychiatry, Columbia University, New York, USA; Molecular Imaging and Neuropathology Division, New York State Psychiatric Institute, 1051 Riverside Drive, Unit 42, New York, NY 10032, USA; Department of Pathology and Cell Biology, Columbia University, New York, USA
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12
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Geiszler DJ, Kong AT, Avtonomov DM, Yu F, Leprevost FDV, Nesvizhskii AI. PTM-Shepherd: Analysis and Summarization of Post-Translational and Chemical Modifications From Open Search Results. Mol Cell Proteomics 2020; 20:100018. [PMID: 33568339 PMCID: PMC7950090 DOI: 10.1074/mcp.tir120.002216] [Citation(s) in RCA: 57] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2020] [Revised: 11/13/2020] [Accepted: 12/01/2020] [Indexed: 01/17/2023] Open
Abstract
Open searching has proven to be an effective strategy for identifying both known and unknown modifications in shotgun proteomics experiments. Rather than being limited to a small set of user-specified modifications, open searches identify peptides with any mass shift that may correspond to a single modification or a combination of several modifications. Here we present PTM-Shepherd, a bioinformatics tool that automates characterization of post-translational modification profiles detected in open searches based on attributes, such as amino acid localization, fragmentation spectra similarity, retention time shifts, and relative modification rates. PTM-Shepherd can also perform multiexperiment comparisons for studying changes in modification profiles, e.g., in data generated in different laboratories or under different conditions. We demonstrate how PTM-Shepherd improves the analysis of data from formalin-fixed and paraffin-embedded samples, detects extreme underalkylation of cysteine in some data sets, discovers an artifactual modification introduced during peptide synthesis, and uncovers site-specific biases in sample preparation artifacts in a multicenter proteomics profiling study.
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Affiliation(s)
- Daniel J Geiszler
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, USA
| | - Andy T Kong
- Department of Pathology, University of Michigan, Ann Arbor, Michigan, USA
| | - Dmitry M Avtonomov
- Department of Pathology, University of Michigan, Ann Arbor, Michigan, USA
| | - Fengchao Yu
- Department of Pathology, University of Michigan, Ann Arbor, Michigan, USA
| | | | - Alexey I Nesvizhskii
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, USA; Department of Pathology, University of Michigan, Ann Arbor, Michigan, USA.
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13
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Kuras M, Woldmar N, Kim Y, Hefner M, Malm J, Moldvay J, Döme B, Fillinger J, Pizzatti L, Gil J, Marko-Varga G, Rezeli M. Proteomic Workflows for High-Quality Quantitative Proteome and Post-Translational Modification Analysis of Clinically Relevant Samples from Formalin-Fixed Paraffin-Embedded Archives. J Proteome Res 2020; 20:1027-1039. [PMID: 33301673 DOI: 10.1021/acs.jproteome.0c00850] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Well-characterized archival formalin-fixed paraffin-embedded (FFPE) tissues are of much value for prospective biomarker discovery studies, and protocols that offer high throughput and good reproducibility are essential in proteomics. Therefore, we implemented efficient paraffin removal and protein extraction from FFPE tissues followed by an optimized two-enzyme digestion using suspension trapping (S-Trap). The protocol was then combined with TMTpro 16plex labeling and applied to lung adenocarcinoma patient samples. In total, 9585 proteins were identified, and proteins related to the clinical outcome were detected. Because acetylation is known to play a major role in cancer development, a fast on-trap acetylation protocol was developed for studying endogenous lysine acetylation, which allows identification and localization of the lysine acetylation together with quantitative comparison between samples. We demonstrated that FFPE tissues are equivalent to frozen tissues to study the degree of acetylation between patients. In summary, we present a reproducible sample preparation workflow optimized for FFPE tissues that resolves known proteomic-related challenges. We demonstrate compatibility of the S-Trap with isobaric labeling and for the first time, we prove that it is feasible to study endogenous lysine acetylation stoichiometry in FFPE tissues, contributing to better utility of the existing global tissue archives. The MS proteomic data have been deposited to the ProteomeXchange Consortium via the PRIDE partner repository with the data set identifiers PXD020157, PXD021986, and PXD021964.
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Affiliation(s)
- Magdalena Kuras
- Div. Clinical Chemistry, Dept. of Translational Medicine, Lund University, Skåne University Hospital Malmö, Malmö 20502, Sweden
| | - Nicole Woldmar
- Div. Clinical Protein Science & Imaging, Dept. of Clinical Sciences (Lund) and Dept. of Biomedical Engineering, Lund University, Lund 22100, Sweden.,Laboratory of Molecular Biology and Blood Proteomics - LADETEC, Institute of Chemistry, Federal University of Rio de Janeiro, Rio de Janeiro 21941-598, Brazil
| | - Yonghyo Kim
- Div. Clinical Protein Science & Imaging, Dept. of Clinical Sciences (Lund) and Dept. of Biomedical Engineering, Lund University, Lund 22100, Sweden
| | - Max Hefner
- Div. Clinical Protein Science & Imaging, Dept. of Clinical Sciences (Lund) and Dept. of Biomedical Engineering, Lund University, Lund 22100, Sweden
| | - Johan Malm
- Div. Clinical Chemistry, Dept. of Translational Medicine, Lund University, Skåne University Hospital Malmö, Malmö 20502, Sweden
| | - Judit Moldvay
- Dept. of Pulmonology, National Korányi Institute of Pulmonology, Semmelweis University, Budapest 1085, Hungary
| | - Balázs Döme
- Dept. of Pulmonology, National Korányi Institute of Pulmonology, Semmelweis University, Budapest 1085, Hungary.,Dept. of Thoracic Surgery, National Institute of Oncology, Semmelweis University, Budapest 1085, Hungary.,Div. of Thoracic Surgery, Dept. of Surgery, Comprehensive Cancer Center Vienna, Medical University Vienna, Vienna 1090, Austria
| | - János Fillinger
- Dept. of Pulmonology, National Korányi Institute of Pulmonology, Semmelweis University, Budapest 1085, Hungary.,Dept. of Thoracic Surgery, National Institute of Oncology, Semmelweis University, Budapest 1085, Hungary
| | - Luciana Pizzatti
- Laboratory of Molecular Biology and Blood Proteomics - LADETEC, Institute of Chemistry, Federal University of Rio de Janeiro, Rio de Janeiro 21941-598, Brazil
| | - Jeovanis Gil
- Div. Clinical Protein Science & Imaging, Dept. of Clinical Sciences (Lund) and Dept. of Biomedical Engineering, Lund University, Lund 22100, Sweden
| | - György Marko-Varga
- Div. Clinical Protein Science & Imaging, Dept. of Clinical Sciences (Lund) and Dept. of Biomedical Engineering, Lund University, Lund 22100, Sweden
| | - Melinda Rezeli
- Div. Clinical Protein Science & Imaging, Dept. of Clinical Sciences (Lund) and Dept. of Biomedical Engineering, Lund University, Lund 22100, Sweden
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14
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Coscia F, Doll S, Bech JM, Schweizer L, Mund A, Lengyel E, Lindebjerg J, Madsen GI, Moreira JM, Mann M. A streamlined mass spectrometry-based proteomics workflow for large-scale FFPE tissue analysis. J Pathol 2020; 251:100-112. [PMID: 32154592 DOI: 10.1002/path.5420] [Citation(s) in RCA: 86] [Impact Index Per Article: 21.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2019] [Revised: 03/02/2020] [Accepted: 03/04/2020] [Indexed: 12/15/2022]
Abstract
Formalin fixation and paraffin-embedding (FFPE) is the most common method to preserve human tissue for clinical diagnosis, and FFPE archives represent an invaluable resource for biomedical research. Proteins in FFPE material are stable over decades but their efficient extraction and streamlined analysis by mass spectrometry (MS)-based proteomics has so far proven challenging. Herein we describe a MS-based proteomic workflow for quantitative profiling of large FFPE tissue cohorts directly from histopathology glass slides. We demonstrate broad applicability of the workflow to clinical pathology specimens and variable sample amounts, including low-input cancer tissue isolated by laser microdissection. Using state-of-the-art data dependent acquisition (DDA) and data independent acquisition (DIA) MS workflows, we consistently quantify a large part of the proteome in 100 min single-run analyses. In an adenoma cohort comprising more than 100 samples, total workup took less than a day. We observed a moderate trend towards lower protein identification in long-term stored samples (>15 years), but clustering into distinct proteomic subtypes was independent of archival time. Our results underscore the great promise of FFPE tissues for patient phenotyping using unbiased proteomics and they prove the feasibility of analyzing large tissue cohorts in a robust, timely, and streamlined manner. © 2020 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of Pathological Society of Great Britain and Ireland.
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Affiliation(s)
- Fabian Coscia
- Clinical Proteomics Group, The Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.,Department of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany
| | - Sophia Doll
- Department of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany
| | - Jacob Mathias Bech
- Section for Molecular Disease Biology, Department of Drug Design and Pharmacology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Lisa Schweizer
- Department of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany
| | - Andreas Mund
- Department of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany
| | - Ernst Lengyel
- Department of Obstetrics and Gynecology, Section of Gynecologic Oncology, University of Chicago, Chicago, IL, USA
| | - Jan Lindebjerg
- Lillebaelt Hospital, Vejle Hospital, Department of Pathology, Vejle, Denmark
| | | | - José Ma Moreira
- Section for Molecular Disease Biology, Department of Drug Design and Pharmacology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Matthias Mann
- Clinical Proteomics Group, The Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.,Department of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany
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15
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Griesser E, Wyatt H, Ten Have S, Stierstorfer B, Lenter M, Lamond AI. Quantitative Profiling of the Human Substantia Nigra Proteome from Laser-capture Microdissected FFPE Tissue. Mol Cell Proteomics 2020; 19:839-851. [PMID: 32132230 PMCID: PMC7196589 DOI: 10.1074/mcp.ra119.001889] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2019] [Revised: 02/19/2020] [Indexed: 11/10/2022] Open
Abstract
Laser-capture microdissection (LCM) allows the visualization and isolation of morphologically distinct subpopulations of cells from heterogeneous tissue specimens. In combination with formalin-fixed and paraffin-embedded (FFPE) tissue it provides a powerful tool for retrospective and clinically relevant studies of tissue proteins in a healthy and diseased context. We first optimized the protocol for efficient LCM analysis of FFPE tissue specimens. The use of SDS containing extraction buffer in combination with the single-pot solid-phase-enhanced sample preparation (SP3) digest method gave the best results regarding protein yield and protein/peptide identifications. Microdissected FFPE human substantia nigra tissue samples (∼3,000 cells) were then analyzed, using tandem mass tag (TMT) labeling and LC-MS/MS, resulting in the quantification of >5,600 protein groups. Nigral proteins were classified and analyzed by abundance, showing an enrichment of extracellular exosome and neuron-specific gene ontology (GO) terms among the higher abundance proteins. Comparison of microdissected samples with intact tissue sections, using a label-free shotgun approach, revealed an enrichment of neuronal cell type markers, such as tyrosine hydroxylase and alpha-synuclein, as well as proteins annotated with neuron-specific GO terms. Overall, this study provides a detailed protocol for laser-capture proteomics using FFPE tissue and demonstrates the efficiency of LCM analysis of distinct cell subpopulations for proteomic analysis using low sample amounts.
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Affiliation(s)
- Eva Griesser
- Centre for Gene Regulation and Expression, School of Life Sciences, University of Dundee, Dundee, DD1 5EH, United Kingdom; Drug Discovery Sciences, Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach an der Riss, Germany
| | - Hannah Wyatt
- Drug Discovery Sciences, Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach an der Riss, Germany
| | - Sara Ten Have
- Centre for Gene Regulation and Expression, School of Life Sciences, University of Dundee, Dundee, DD1 5EH, United Kingdom
| | - Birgit Stierstorfer
- Drug Discovery Sciences, Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach an der Riss, Germany
| | - Martin Lenter
- Drug Discovery Sciences, Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach an der Riss, Germany
| | - Angus I Lamond
- Centre for Gene Regulation and Expression, School of Life Sciences, University of Dundee, Dundee, DD1 5EH, United Kingdom.
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16
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Marchione DM, Ilieva I, Devins K, Sharpe D, Pappin DJ, Garcia BA, Wilson JP, Wojcik JB. HYPERsol: High-Quality Data from Archival FFPE Tissue for Clinical Proteomics. J Proteome Res 2020; 19:973-983. [PMID: 31935107 DOI: 10.1021/acs.jproteome.9b00686] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Massive formalin-fixed, paraffin-embedded (FFPE) tissue archives exist worldwide, representing an invaluable resource for clinical proteomics research. However, current protocols for FFPE proteomics lack standardization, efficiency, reproducibility, and scalability. Here we present high-yield protein extraction and recovery by direct solubilization (HYPERsol), an optimized workflow using ultrasonication and S-Trap sample processing that enables proteome coverage and quantification from FFPE samples comparable to that achieved from flash-frozen tissue (average R = 0.936). When applied to archival samples, HYPERsol resulted in high-quality data from FFPE specimens in storage for up to 17 years, and may enable the discovery of new immunohistochemical markers.
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Affiliation(s)
- Dylan M Marchione
- Epigenetics Institute, Department of Biochemistry & Biophysics , University of Pennsylvania , Philadelphia , Pennsylvania 19104 , United States
| | - Ilyana Ilieva
- Department of Pathology and Laboratory Medicine , University of Pennsylvania , Philadelphia , Pennsylvania 19104 , United States
| | - Kyle Devins
- Department of Pathology and Laboratory Medicine , University of Pennsylvania , Philadelphia , Pennsylvania 19104 , United States
| | - Danielle Sharpe
- Department of Pathology and Laboratory Medicine , University of Pennsylvania , Philadelphia , Pennsylvania 19104 , United States
| | - Darryl J Pappin
- Cold Spring Harbor Laboratory , Cold Spring Harbor , New York 11724 , United States.,ProtiFi, LLC , Huntington , New York 11743 , United States
| | - Benjamin A Garcia
- Epigenetics Institute, Department of Biochemistry & Biophysics , University of Pennsylvania , Philadelphia , Pennsylvania 19104 , United States
| | - John P Wilson
- ProtiFi, LLC , Huntington , New York 11743 , United States
| | - John B Wojcik
- Department of Pathology and Laboratory Medicine , University of Pennsylvania , Philadelphia , Pennsylvania 19104 , United States
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17
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Histone H3K27 dimethyl loss is highly specific for malignant peripheral nerve sheath tumor and distinguishes true PRC2 loss from isolated H3K27 trimethyl loss. Mod Pathol 2019; 32:1434-1446. [PMID: 31175328 PMCID: PMC6763358 DOI: 10.1038/s41379-019-0287-8] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2019] [Revised: 04/03/2019] [Accepted: 04/04/2019] [Indexed: 02/06/2023]
Abstract
Malignant peripheral nerve sheath tumors contain loss of histone H3K27 trimethylation (H3K27me3) due to driver mutations affecting the polycomb repressive complex 2 (PRC2). Consequently, loss of H3K27me3 staining has served as a diagnostic marker for this tumor type. However, recent reports demonstrate H3K27me3 loss in numerous other tumors, including some in the differential diagnosis of malignant peripheral nerve sheath tumor. Since these tumors lose H3K27me3 through mechanisms distinct from PRC2 loss, we set out to determine whether loss of dimethylation of H3K27, which is also catalyzed by PRC2, might be a more specific marker of PRC2 loss and malignant peripheral nerve sheath tumor. Using mass spectrometry, we identify a near complete loss of H3K27me2 in malignant peripheral nerve sheath tumors and cell lines. Immunohistochemical analysis of 72 malignant peripheral nerve sheath tumors, seven K27M-mutant gliomas, 43 ependymomas, and 10 Merkel cell carcinomas demonstrates that while H3K27me3 loss is common across these tumor types, H3K27me2 loss is limited to malignant peripheral nerve sheath tumors and is highly concordant with H3K27me3 loss (33/34 cases). Thus, increased specificity does not come at the cost of greatly reduced sensitivity. To further compare H3K27me2 and H3K27me3 immunohistochemistry, we investigated 42 melanomas and 54 synovial sarcomas, histologic mimics of malignant peripheral nerve sheath tumor with varying degrees of H3K27me3 loss in prior reports. While global H3K27me3 loss was not seen in these tumors, weak and limited H3K27me3 staining was common. By contrast, H3K27me2 staining was more clearly retained in all cases, making it a superior binary classifier. This was confirmed by digital image analysis of stained slides. Our findings indicate that H3K27me2 loss is highly specific for PRC2 loss and that PRC2 loss is a rarer phenomenon than H3K27me3 loss. Consequently, H3K27me2 loss is a superior diagnostic marker for malignant peripheral nerve sheath tumor.
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18
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Zhu Y, Weiss T, Zhang Q, Sun R, Wang B, Yi X, Wu Z, Gao H, Cai X, Ruan G, Zhu T, Xu C, Lou S, Yu X, Gillet L, Blattmann P, Saba K, Fankhauser CD, Schmid MB, Rutishauser D, Ljubicic J, Christiansen A, Fritz C, Rupp NJ, Poyet C, Rushing E, Weller M, Roth P, Haralambieva E, Hofer S, Chen C, Jochum W, Gao X, Teng X, Chen L, Zhong Q, Wild PJ, Aebersold R, Guo T. High-throughput proteomic analysis of FFPE tissue samples facilitates tumor stratification. Mol Oncol 2019; 13:2305-2328. [PMID: 31495056 PMCID: PMC6822243 DOI: 10.1002/1878-0261.12570] [Citation(s) in RCA: 88] [Impact Index Per Article: 17.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2019] [Revised: 08/09/2019] [Accepted: 09/03/2019] [Indexed: 11/06/2022] Open
Abstract
Formalin‐fixed, paraffin‐embedded (FFPE), biobanked tissue samples offer an invaluable resource for clinical and biomarker research. Here, we developed a pressure cycling technology (PCT)‐SWATH mass spectrometry workflow to analyze FFPE tissue proteomes and applied it to the stratification of prostate cancer (PCa) and diffuse large B‐cell lymphoma (DLBCL) samples. We show that the proteome patterns of FFPE PCa tissue samples and their analogous fresh‐frozen (FF) counterparts have a high degree of similarity and we confirmed multiple proteins consistently regulated in PCa tissues in an independent sample cohort. We further demonstrate temporal stability of proteome patterns from FFPE samples that were stored between 1 and 15 years in a biobank and show a high degree of the proteome pattern similarity between two types of histological regions in small FFPE samples, that is, punched tissue biopsies and thin tissue sections of micrometer thickness, despite the existence of a certain degree of biological variations. Applying the method to two independent DLBCL cohorts, we identified myeloperoxidase, a peroxidase enzyme, as a novel prognostic marker. In summary, this study presents a robust proteomic method to analyze bulk and biopsy FFPE tissues and reports the first systematic comparison of proteome maps generated from FFPE and FF samples. Our data demonstrate the practicality and superiority of FFPE over FF samples for proteome in biomarker discovery. Promising biomarker candidates for PCa and DLBCL have been discovered.
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Affiliation(s)
- Yi Zhu
- Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, China.,Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Switzerland
| | - Tobias Weiss
- Department of Neurology and Brain Tumor Center, University Hospital Zurich, University of Zurich, Switzerland
| | - Qiushi Zhang
- Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, China
| | - Rui Sun
- Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, China
| | - Bo Wang
- Department of Pathology, The First Affiliated Hospital of College of Medicine, Zhejiang University, Hangzhou, China
| | - Xiao Yi
- Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, China
| | - Zhicheng Wu
- Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, China
| | - Huanhuan Gao
- Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, China
| | - Xue Cai
- Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, China
| | - Guan Ruan
- Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, China
| | - Tiansheng Zhu
- Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, China
| | - Chao Xu
- College of Mathematics and Informatics, Digital Fujian Institute of Big Data Security Technology, Fujian Normal University, Fuzhou, China
| | - Sai Lou
- Phase I Clinical Research Center, Zhejiang Provincial People's Hospital, Hangzhou, China
| | - Xiaoyan Yu
- Department of Pathology, The Second Affiliated Hospital of College of Medicine, Zhejiang University, Hangzhou, China
| | - Ludovic Gillet
- Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Switzerland
| | - Peter Blattmann
- Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Switzerland
| | - Karim Saba
- Department of Urology, University Hospital Zurich, University of Zurich, Switzerland
| | | | - Michael B Schmid
- Department of Urology, University Hospital Zurich, University of Zurich, Switzerland
| | - Dorothea Rutishauser
- Department of Pathology and Molecular Pathology, University Hospital Zurich, University of Zurich, Switzerland
| | - Jelena Ljubicic
- Department of Pathology and Molecular Pathology, University Hospital Zurich, University of Zurich, Switzerland
| | - Ailsa Christiansen
- Department of Pathology and Molecular Pathology, University Hospital Zurich, University of Zurich, Switzerland
| | - Christine Fritz
- Department of Pathology and Molecular Pathology, University Hospital Zurich, University of Zurich, Switzerland
| | - Niels J Rupp
- Department of Pathology and Molecular Pathology, University Hospital Zurich, University of Zurich, Switzerland
| | - Cedric Poyet
- Department of Urology, University Hospital Zurich, University of Zurich, Switzerland
| | - Elisabeth Rushing
- Department of Neuropathology, University Hospital Zurich, University of Zurich, Switzerland
| | - Michael Weller
- Department of Neurology and Brain Tumor Center, University Hospital Zurich, University of Zurich, Switzerland
| | - Patrick Roth
- Department of Neurology and Brain Tumor Center, University Hospital Zurich, University of Zurich, Switzerland
| | - Eugenia Haralambieva
- Department of Pathology and Molecular Pathology, University Hospital Zurich, University of Zurich, Switzerland
| | - Silvia Hofer
- Division of Medical Oncology, Lucerne Cantonal Hospital and Cancer Center, Switzerland
| | | | - Wolfram Jochum
- Institute of Pathology, Cantonal Hospital St. Gallen, Switzerland
| | - Xiaofei Gao
- Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, China
| | - Xiaodong Teng
- Department of Pathology, The First Affiliated Hospital of College of Medicine, Zhejiang University, Hangzhou, China
| | - Lirong Chen
- Department of Pathology, The Second Affiliated Hospital of College of Medicine, Zhejiang University, Hangzhou, China
| | - Qing Zhong
- Department of Pathology and Molecular Pathology, University Hospital Zurich, University of Zurich, Switzerland.,Children's Medical Research Institute, University of Sydney, Australia
| | - Peter J Wild
- Department of Pathology and Molecular Pathology, University Hospital Zurich, University of Zurich, Switzerland.,Dr. Senckenberg Institute of Pathology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Ruedi Aebersold
- Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Switzerland.,Faculty of Science, University of Zurich, Switzerland
| | - Tiannan Guo
- Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, China.,Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Switzerland
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19
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Liu S, Xu F, Yin Y, Zhang J, Wang F, Li Y, Xu P. LysargiNase enhances protein identification on the basis of trypsin on formalin-fixed paraffin-embedded samples. RAPID COMMUNICATIONS IN MASS SPECTROMETRY : RCM 2019; 33:1381-1389. [PMID: 31066118 DOI: 10.1002/rcm.8479] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/05/2019] [Revised: 04/30/2019] [Accepted: 05/01/2019] [Indexed: 06/09/2023]
Abstract
RATIONALE Formalin-Fixed Paraffin-Embedded (FFPE) samples are valuable for proteomic studies of disease. However, the crosslink among proteins, protein vs nucleic acid, and other covalent chemical modifications like methylation introduced by formaldehyde can interfere with trypsin digestion in proteomics studies. LysargiNase was reported to have a better full-cleavage rate at methylation and b ion coverage than trypsin. The contribution of LysargiNase in the proteomic study of FFPE samples was assessed and compared with trypsin in this study for the first time to facilitate proteomic research on FFPE samples. METHODS The FFPE proteins were extracted with an "antigen retrieval" method. Digestion parameters were optimized by visualization of the digests on the tricine gel by silver staining. Then the FFPE proteins were separated by sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE) and cut into 16 gel bands and in-gel digested by trypsin and LysargiNase, respectively. Peptides were desalted with Stage-Tips and separated via liquid chromatography. Electrospray ionization was conducted and peptide mass was measured in the LTQ Orbitrap Velos in the data-dependent mode. RESULTS High concentrations of enzyme facilitate the digestion efficiency of FFPE samples. A total of 32,294 peptides and 3445 proteins were identified with LysargiNase and trypsin combined in two replicates. LysargiNase increased peptide identification by 18.9% and protein identification by 13.4% on the basis of trypsin. Consistently, LysargiNase increased C-terminal peptide identification by 47.7%. Moreover, LysargiNase showed better full-cleavage rate (49.3%) at methylated sites than trypsin (23.9%). LysargiNase and trypsin combined can improve the b-ion coverage by 50% on FFPE samples. CONCLUSIONS FFPE samples can be more efficiently digested at high concentrations of LysargiNase and trypsin. LysargiNase can better digest methylated peptides and improve the proteome identification by 13.4% and the b-ion coverage by 50% on the basis of trypsin in FFPE samples.
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Affiliation(s)
- Shu Liu
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing, 102206, China
| | - Feng Xu
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing, 102206, China
| | - Yanan Yin
- Key Laboratory of Combinatorial Biosynthesis and Drug Discovery of the Ministry of Education, School of Pharmaceutical Sciences, Wuhan University, Wuhan, 430072, China
| | - Junling Zhang
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing, 102206, China
| | - Fuqiang Wang
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing, 102206, China
| | - Yanchang Li
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing, 102206, China
| | - Ping Xu
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing, 102206, China
- Key Laboratory of Combinatorial Biosynthesis and Drug Discovery of the Ministry of Education, School of Pharmaceutical Sciences, Wuhan University, Wuhan, 430072, China
- Anhui Medical University, Hefei, 230032, China
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20
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Dapic I, Baljeu-Neuman L, Uwugiaren N, Kers J, Goodlett DR, Corthals GL. Proteome analysis of tissues by mass spectrometry. MASS SPECTROMETRY REVIEWS 2019; 38:403-441. [PMID: 31390493 DOI: 10.1002/mas.21598] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/20/2019] [Accepted: 06/17/2019] [Indexed: 06/10/2023]
Abstract
Tissues and biofluids are important sources of information used for the detection of diseases and decisions on patient therapies. There are several accepted methods for preservation of tissues, among which the most popular are fresh-frozen and formalin-fixed paraffin embedded methods. Depending on the preservation method and the amount of sample available, various specific protocols are available for tissue processing for subsequent proteomic analysis. Protocols are tailored to answer various biological questions, and as such vary in lysis and digestion conditions, as well as duration. The existence of diverse tissue-sample protocols has led to confusion in how to choose the best protocol for a given tissue and made it difficult to compare results across sample types. Here, we summarize procedures used for tissue processing for subsequent bottom-up proteomic analysis. Furthermore, we compare protocols for their variations in the composition of lysis buffers, digestion procedures, and purification steps. For example, reports have shown that lysis buffer composition plays an important role in the profile of extracted proteins: the most common are tris(hydroxymethyl)aminomethane, radioimmunoprecipitation assay, and ammonium bicarbonate buffers. Although, trypsin is the most commonly used enzyme for proteolysis, in some protocols it is supplemented with Lys-C and/or chymotrypsin, which will often lead to an increase in proteome coverage. Data show that the selection of the lysis procedure might need to be tissue-specific to produce distinct protocols for individual tissue types. Finally, selection of the procedures is also influenced by the amount of sample available, which range from biopsies or the size of a few dozen of mm2 obtained with laser capture microdissection to much larger amounts that weight several milligrams.
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Affiliation(s)
- Irena Dapic
- International Centre for Cancer Vaccine Science, University of Gdansk, Gdansk, Poland
| | | | - Naomi Uwugiaren
- International Centre for Cancer Vaccine Science, University of Gdansk, Gdansk, Poland
| | - Jesper Kers
- Department of Pathology, Amsterdam Infection & Immunity Institute (AI&II), Amsterdam Cardiovascular Sciences (ACS), Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
- van 't Hoff Institute for Molecular Sciences, University of Amsterdam, Amsterdam, The Netherlands
- Ragon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology and Harvard University, Cambridge, MA
| | - David R Goodlett
- International Centre for Cancer Vaccine Science, University of Gdansk, Gdansk, Poland
- University of Maryland, 20N. Pine Street, Baltimore, MD 21201
| | - Garry L Corthals
- van 't Hoff Institute for Molecular Sciences, University of Amsterdam, Amsterdam, The Netherlands
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21
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PAXgene fixation enables comprehensive metabolomic and proteomic analyses of tissue specimens by MALDI MSI. Biochim Biophys Acta Gen Subj 2018; 1862:51-60. [DOI: 10.1016/j.bbagen.2017.10.005] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2017] [Revised: 09/28/2017] [Accepted: 10/08/2017] [Indexed: 12/31/2022]
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22
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Isolation of Amyloid Plaques and Neurofibrillary Tangles from Archived Alzheimer's Disease Tissue Using Laser-Capture Microdissection for Downstream Proteomics. Methods Mol Biol 2018; 1723:319-334. [PMID: 29344869 DOI: 10.1007/978-1-4939-7558-7_18] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
Abstract
Here, we describe a new method that allows localized proteomics of amyloid plaques and neurofibrillary tangles (NFTs), which are the two pathological hallmarks of Alzheimer's disease (AD). Amyloid plaques and NFTs are visualized using immunohistochemistry and microdissected from archived, formalin-fixed paraffin-embedded (FFPE) human tissue samples using laser-capture microdissection. The majority of human tissue specimens are FFPE; hence the use of this type of tissue is a particular advantage of this technique. Microdissected tissue samples are solubilized with formic acid and deparaffinized, reduced, alkylated, proteolytically digested, and desalted. The resulting protein content of plaques and NFTs is determined using label-free quantitative LC-MS. This results in the unbiased and simultaneous quantification of ~900 proteins in plaques and ~500 proteins in NFTs. This approach permits downstream pathway and network analysis, hence providing a comprehensive overview of pathological protein accumulation found in neuropathological features in AD.
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23
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Canetti D, Rendell NB, Di Vagno L, Gilbertson JA, Rowczenio D, Rezk T, Gillmore JD, Hawkins PN, Verona G, Mangione PP, Giorgetti S, Mauri P, Motta S, De Palma A, Bellotti V, Taylor GW. Misidentification of transthyretin and immunoglobulin variants by proteomics due to methyl lysine formation in formalin-fixed paraffin-embedded amyloid tissue. Amyloid 2017; 24:233-241. [PMID: 29016222 DOI: 10.1080/13506129.2017.1385452] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
Proteomics is becoming the de facto gold standard for identifying amyloid proteins and is now used routinely in a number of centres. The technique is compound class independent and offers the added ability to identify variant and modified proteins. We re-examined proteomics results from a number of formalin-fixed paraffin-embedded amyloid samples, which were positive for transthyretin (TTR) by immunohistochemistry and proteomics, using the UniProt human protein database modified to include TTR variants. The amyloidogenic variant, V122I TTR, was incorrectly identified in 26/27 wild-type and non-V122I variant samples due to its close mass spectral similarity with the methyl lysine-modified WT peptide [126KMe]105-127 (p.[146 KMe]125-147) generated during formalin fixation. Similarly, the methyl lysine peptide, [50KMe]43-59, from immunoglobulin lambda light chain constant region was also misidentified as arising from a rare myeloma-derived lambda variant V49I. These processing-derived modifications are not present in fresh cardiac tissue, non-fixed fat nor serum and do not materially affect the identification of amyloid proteins. They could result in the incorrect assignment of a variant, and this may have consequences for the immediate family who will require genetic counselling and potentially early clinical intervention. As proteomics becomes a routine clinical test for amyloidosis, it becomes important to be aware of potentially confounding issues such as formalin-mediated lysine methylation, and how these may influence diagnosis and possibly treatment.
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Affiliation(s)
- Diana Canetti
- a Wolfson Drug Discovery Unit, Centre for Amyloidosis and Acute Phase Proteins , University College London , London , UK.,b National Amyloidosis Centre, Division of Medicine , University College London , London , UK.,c Department of Molecular Medicine , Institute of Biochemistry, University of Pavia , Pavia , Italy.,d CEINGE , University of Naples , Naples , Italy.,e Department of Chemical Sciences , University of Naples , Naples , Italy
| | - Nigel Brian Rendell
- a Wolfson Drug Discovery Unit, Centre for Amyloidosis and Acute Phase Proteins , University College London , London , UK.,b National Amyloidosis Centre, Division of Medicine , University College London , London , UK
| | - Lucia Di Vagno
- a Wolfson Drug Discovery Unit, Centre for Amyloidosis and Acute Phase Proteins , University College London , London , UK.,b National Amyloidosis Centre, Division of Medicine , University College London , London , UK
| | - Janet A Gilbertson
- a Wolfson Drug Discovery Unit, Centre for Amyloidosis and Acute Phase Proteins , University College London , London , UK.,b National Amyloidosis Centre, Division of Medicine , University College London , London , UK
| | - Dorota Rowczenio
- a Wolfson Drug Discovery Unit, Centre for Amyloidosis and Acute Phase Proteins , University College London , London , UK.,b National Amyloidosis Centre, Division of Medicine , University College London , London , UK
| | - Tamar Rezk
- a Wolfson Drug Discovery Unit, Centre for Amyloidosis and Acute Phase Proteins , University College London , London , UK.,b National Amyloidosis Centre, Division of Medicine , University College London , London , UK
| | - Julian D Gillmore
- a Wolfson Drug Discovery Unit, Centre for Amyloidosis and Acute Phase Proteins , University College London , London , UK.,b National Amyloidosis Centre, Division of Medicine , University College London , London , UK
| | - Phillip N Hawkins
- a Wolfson Drug Discovery Unit, Centre for Amyloidosis and Acute Phase Proteins , University College London , London , UK.,b National Amyloidosis Centre, Division of Medicine , University College London , London , UK
| | - Guglielmo Verona
- a Wolfson Drug Discovery Unit, Centre for Amyloidosis and Acute Phase Proteins , University College London , London , UK.,b National Amyloidosis Centre, Division of Medicine , University College London , London , UK
| | - Palma Patrizia Mangione
- a Wolfson Drug Discovery Unit, Centre for Amyloidosis and Acute Phase Proteins , University College London , London , UK.,b National Amyloidosis Centre, Division of Medicine , University College London , London , UK.,c Department of Molecular Medicine , Institute of Biochemistry, University of Pavia , Pavia , Italy
| | - Sofia Giorgetti
- c Department of Molecular Medicine , Institute of Biochemistry, University of Pavia , Pavia , Italy
| | - Pierluigi Mauri
- f Proteomics and Metabolomics Laboratory , CNR-ITB , Segrate , Italy
| | - Sara Motta
- f Proteomics and Metabolomics Laboratory , CNR-ITB , Segrate , Italy
| | | | - Vittorio Bellotti
- a Wolfson Drug Discovery Unit, Centre for Amyloidosis and Acute Phase Proteins , University College London , London , UK.,b National Amyloidosis Centre, Division of Medicine , University College London , London , UK.,c Department of Molecular Medicine , Institute of Biochemistry, University of Pavia , Pavia , Italy
| | - Graham W Taylor
- a Wolfson Drug Discovery Unit, Centre for Amyloidosis and Acute Phase Proteins , University College London , London , UK.,b National Amyloidosis Centre, Division of Medicine , University College London , London , UK
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24
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Localized Proteomics of Individual Neurons Isolated from Formalin-Fixed, Paraffin-Embedded Tissue Sections Using Laser Capture Microdissection. ACTA ACUST UNITED AC 2017. [DOI: 10.1007/978-1-4939-7119-0_18] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register]
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25
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Proteomic differences in amyloid plaques in rapidly progressive and sporadic Alzheimer's disease. Acta Neuropathol 2017; 133:933-954. [PMID: 28258398 DOI: 10.1007/s00401-017-1691-0] [Citation(s) in RCA: 129] [Impact Index Per Article: 18.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2016] [Revised: 02/22/2017] [Accepted: 02/26/2017] [Indexed: 12/16/2022]
Abstract
Rapidly progressive Alzheimer's disease (rpAD) is a particularly aggressive form of Alzheimer's disease, with a median survival time of 7-10 months after diagnosis. Why these patients have such a rapid progression of Alzheimer's disease is currently unknown. To further understand pathological differences between rpAD and typical sporadic Alzheimer's disease (sAD) we used localized proteomics to analyze the protein differences in amyloid plaques in rpAD and sAD. Label-free quantitative LC-MS/MS was performed on amyloid plaques microdissected from rpAD and sAD patients (n = 22 for each patient group) and protein expression differences were quantified. On average, 913 ± 30 (mean ± SEM) proteins were quantified in plaques from each patient and 279 of these proteins were consistently found in plaques from every patient. We found significant differences in protein composition between rpAD and sAD plaques. We found that rpAD plaques contained significantly higher levels of neuronal proteins (p = 0.0017) and significantly lower levels of astrocytic proteins (p = 1.08 × 10-6). Unexpectedly, cumulative protein differences in rpAD plaques did not suggest accelerated typical sAD. Plaques from patients with rpAD were particularly abundant in synaptic proteins, especially those involved in synaptic vesicle release, highlighting the potential importance of synaptic dysfunction in the accelerated development of plaque pathology in rpAD. Combined, our data provide new direct evidence that amyloid plaques do not all have the same protein composition and that the proteomic differences in plaques could provide important insight into the factors that contribute to plaque development. The cumulative protein differences in rpAD plaques suggest rpAD may be a novel subtype of Alzheimer's disease.
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26
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Diedrich B, Dengjel J. Insights into autosomal dominant polycystic kidney disease by quantitative mass spectrometry-based proteomics. Cell Tissue Res 2017; 369:41-51. [DOI: 10.1007/s00441-017-2617-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2017] [Accepted: 03/21/2017] [Indexed: 12/12/2022]
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Characterization of histone-related chemical modifications in formalin-fixed paraffin-embedded and fresh-frozen human pancreatic cancer xenografts using LC-MS/MS. J Transl Med 2017; 97:279-288. [PMID: 27941757 DOI: 10.1038/labinvest.2016.134] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2016] [Revised: 10/22/2016] [Accepted: 11/03/2016] [Indexed: 01/22/2023] Open
Abstract
Post-translational modifications (PTMs) of histones including acetylation, methylation, and ubiquitination are known to be involved in the epigenetic regulation of gene expression and thus can have an important role in tumorigenesis. A number of PTMs have been linked to pancreatic cancer and are frequently studied as potential targets for cancer therapy or diagnosis. The availability of biobank-stored, formalin-fixed, paraffin-embedded (FFPE) materials and advanced proteomic analytical tools make it possible to detect histone-related PTMs using predicted mass shifts caused by specific modification. It is, however, important to take into account the fact that formaldehyde (FA) present in the FFPE material is chemically reactive and may undergo condensation reactions, for example, with terminal amino groups and active CH functionalities of the studied proteins. As supported by the results of this study, the possibility to misinterpret such protein condensation product as endogenous PTMs should be taken into consideration in all proteomic analytical work involving FFPE materials. In this study, we used liquid chromatography-tandem mass spectrometry to assess preassumed modification of the lysine residues of histone proteins in FFPE or fresh-frozen (FF) tumor xenografts, derived from the human pancreatic cancer cell line, Capan-1. Here we report modifications with a defined mass shift of +14.016, +28.031, +42.011, or +114.043 Da, corresponding to apparent methylation, dimethylation, acetylation, or ubiquitination that were differentially distributed between the groups. The identified modifications were significantly more frequent in FFPE samples as compared with FF samples. Our results indicate that FFPE tissue processing may result in persistent chemical modifications of histones, which correspond in mass shift of important PTMs. Herein, we highlight the importance to investigate and report FA-formed modifications in FFPE-treated tissues, as well as the necessity of careful manual examination of observed modifications to eliminate false-positive PTMs.
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Galli M, Pagni F, De Sio G, Smith A, Chinello C, Stella M, L'Imperio V, Manzoni M, Garancini M, Massimini D, Mosele N, Mauri G, Zoppis I, Magni F. Proteomic profiles of thyroid tumors by mass spectrometry-imaging on tissue microarrays. BIOCHIMICA ET BIOPHYSICA ACTA-PROTEINS AND PROTEOMICS 2016; 1865:817-827. [PMID: 27939607 DOI: 10.1016/j.bbapap.2016.11.020] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/27/2016] [Revised: 11/23/2016] [Accepted: 11/29/2016] [Indexed: 01/22/2023]
Abstract
The current study proposes the successful use of a mass spectrometry-imaging technology that explores the composition of biomolecules and their spatial distribution directly on-tissue to differentially classify benign and malignant cases, as well as different histotypes. To identify new specific markers, we investigated with this technology a wide histological Tissue Microarray (TMA)-based thyroid lesion series. Results showed specific protein signatures for malignant and benign specimens and allowed to build clusters comprising several proteins with discriminant capabilities. Among them, FINC, ACTB1, LMNA, HSP7C and KAD1 were identified by LC-ESI-MS/MS and found up-expressed in malignant lesions. These findings represent the opening of further investigations for their translation into clinical practice, e.g. for setting up new immunohistochemical stainings, and for a better understanding of thyroid lesions. This article is part of a Special Issue entitled: MALDI Imaging, edited by Dr. Corinna Henkel and Prof. Peter Hoffmann.
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Affiliation(s)
- Manuel Galli
- Department of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy
| | - Fabio Pagni
- Department of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy
| | - Gabriele De Sio
- Department of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy
| | - Andrew Smith
- Department of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy
| | - Clizia Chinello
- Department of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy
| | - Martina Stella
- Department of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy
| | - Vincenzo L'Imperio
- Department of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy
| | - Marco Manzoni
- Department of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy
| | - Mattia Garancini
- Department of Surgery, Hospital San Gerardo, Monza Brianza, Italy
| | - Diego Massimini
- Department of Surgery, Hospital San Gerardo, Monza Brianza, Italy
| | - Niccolò Mosele
- Department of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy
| | - Giancarlo Mauri
- Department of Informatics, Systems and Communication, University of Milano-Bicocca, Milan, Italy
| | - Italo Zoppis
- Department of Informatics, Systems and Communication, University of Milano-Bicocca, Milan, Italy
| | - Fulvio Magni
- Department of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy.
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Optimization of Urea Based Protein Extraction from Formalin-Fixed Paraffin-Embedded Tissue for Shotgun Proteomics. INTERNATIONAL JOURNAL OF PROTEOMICS 2016; 2016:4324987. [PMID: 27660725 PMCID: PMC5021876 DOI: 10.1155/2016/4324987] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/20/2016] [Accepted: 08/09/2016] [Indexed: 01/19/2023]
Abstract
Urea based protein extraction of formalin-fixed paraffin-embedded (FFPE) tissue provides the most efficient workflow for proteomics due to its compatibility with liquid chromatography electrospray ionization tandem mass spectrometry (LC-ESI-MS/MS). This study optimizes the use of urea for proteomic analysis of clinical FFPE tissue. A series of protein extraction conditions manipulating temperature and buffer composition were compared to reduce carbamylation introduced by urea and increase protein detection. Each extraction was performed on a randomized pair of serial sections of homogenous FFPE tissue and analyzed with LC-ESI-MS/MS. Results were compared in terms of yield, missed cleavages, and peptide carbamylation. Lowering extraction temperature to 60°C decreased carbamylation at the cost of decreased protein detection and yield. Protein extraction for at least 20 minutes at 95°C followed by 60°C for 2 hours maximized total protein yield while maintaining protein detection and reducing carbamylation by 7.9%. When accounting for carbamylation during analysis, this modified extraction temperature provides equivalent peptide and protein detection relative to the commercially available Qproteome® FFPE Tissue Kit. No changes to buffer composition containing 7 M urea, 2 M thiourea, and 1 M ammonium bicarbonate resulted in improvements to control conditions. Optimized urea in-solution digestion provides an efficient workflow with maximized yields for proteomic analysis of clinically relevant FFPE tissue.
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31
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Bennike TB, Kastaniegaard K, Padurariu S, Gaihede M, Birkelund S, Andersen V, Stensballe A. Comparing the proteome of snap frozen, RNAlater preserved, and formalin-fixed paraffin-embedded human tissue samples. EUPA OPEN PROTEOMICS 2016; 10:9-18. [PMID: 29900094 PMCID: PMC5988570 DOI: 10.1016/j.euprot.2015.10.001] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/24/2015] [Revised: 08/19/2015] [Accepted: 10/25/2015] [Indexed: 01/14/2023]
Abstract
Large biobanks exist worldwide containing formalin-fixed, paraffin-embedded samples and samples stored in RNAlater. However, the impact of tissue preservation on the result of a quantative proteome analysis remains poorly described. Human colon mucosal biopsies were extracted from the sigmoideum and either immediately frozen, stabilized in RNAlater, or stabilized by formalin-fixation. In one set of biopsies, formalin stabilization was delayed for 30 min. The protein content of the samples was characterized by high throughput quantitative proteomics. We were able to identify a similar high number of proteins in the samples regardless of preservation method, with only minor differences in protein quantitation.
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Key Words
- CAN, acetonitrile
- DF, directly-frozen
- FA, formic acid
- FASP, filter-aided sample preparation
- FDR, false discovery rate
- FFPE, formalin-fixed
- Formalin-fixed
- HLA-A class I, histocompatibility antigen A-23 alpha chain
- HLA-DRB1 class II, histocompatibility antigen DRB1-4 beta chain
- Human colon mucosa
- LFQ, label-free quantification
- Mass spectrometry
- PCA, principle component analysis
- PSM, peptide spectral match
- PTM, post-translational modification
- Paraffin-embedded
- Preservation
- Proteomics
- RNAlater
- SDC, sodium deoxycholate
- SDS, sodium dodecyl sulfate
- TEAB, triethylammonium bicarbonate
- iFFPE, immediately formalin-fixed
- s, standard deviation
- sFFPE, stored for 30 min prior to formalin-fixed
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Affiliation(s)
- Tue Bjerg Bennike
- Research Unit for Molecular Diagnostic and Clinical Research, Hospital of Southern Jutland, Aabenraa, Denmark
- Department of Health Science and Technology, Aalborg University, Aalborg, Denmark
| | | | - Simona Padurariu
- Department of Otolaryngology, Head and Neck Surgery, Aalborg University Hospital, Aalborg, Denmark
| | - Michael Gaihede
- Department of Otolaryngology, Head and Neck Surgery, Aalborg University Hospital, Aalborg, Denmark
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Svend Birkelund
- Department of Health Science and Technology, Aalborg University, Aalborg, Denmark
| | - Vibeke Andersen
- Research Unit for Molecular Diagnostic and Clinical Research, Hospital of Southern Jutland, Aabenraa, Denmark
- Institute of Regional Health Research-Center Soenderjylland, University of Southern Denmark, Odense, Denmark
| | - Allan Stensballe
- Department of Health Science and Technology, Aalborg University, Aalborg, Denmark
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32
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Bonaldi T, Noberini R. Recent advances in mass spectrometry analysis of histone post-translational modifications: potential clinical impact of the PAT-H-MS approach. Expert Rev Proteomics 2016; 13:245-50. [DOI: 10.1586/14789450.2016.1147960] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
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33
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Horlacher O, Lisacek F, Müller M. Mining Large Scale Tandem Mass Spectrometry Data for Protein Modifications Using Spectral Libraries. J Proteome Res 2015; 15:721-31. [PMID: 26653734 DOI: 10.1021/acs.jproteome.5b00877] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Experimental improvements in post-translational modification (PTM) detection by tandem mass spectrometry (MS/MS) has allowed the identification of vast numbers of PTMs. Open modification searches (OMSs) of MS/MS data, which do not require prior knowledge of the modifications present in the sample, further increased the diversity of detected PTMs. Despite much effort, there is still a lack of functional annotation of PTMs. One possibility to narrow the annotation gap is to mine MS/MS data deposited in public repositories and to correlate the PTM presence with biological meta-information attached to the data. Since the data volume can be quite substantial and contain tens of millions of MS/MS spectra, the data mining tools must be able to cope with big data. Here, we present two tools, Liberator and MzMod, which are built using the MzJava class library and the Apache Spark large scale computing framework. Liberator builds large MS/MS spectrum libraries, and MzMod searches them in an OMS mode. We applied these tools to a recently published set of 25 million spectra from 30 human tissues and present tissue specific PTMs. We also compared the results to the ones obtained with the OMS tool MODa and the search engine X!Tandem.
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Affiliation(s)
- Oliver Horlacher
- Proteome Informatics Group, SIB Swiss Institute of Bioinformatics , Geneva 1211, Switzerland.,Centre Universitaire de Bioinformatique, University of Geneva , Geneva 1211, Switzerland
| | - Frederique Lisacek
- Proteome Informatics Group, SIB Swiss Institute of Bioinformatics , Geneva 1211, Switzerland.,Centre Universitaire de Bioinformatique, University of Geneva , Geneva 1211, Switzerland
| | - Markus Müller
- Proteome Informatics Group, SIB Swiss Institute of Bioinformatics , Geneva 1211, Switzerland.,Centre Universitaire de Bioinformatique, University of Geneva , Geneva 1211, Switzerland
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Mayne J, Ning Z, Zhang X, Starr AE, Chen R, Deeke S, Chiang CK, Xu B, Wen M, Cheng K, Seebun D, Star A, Moore JI, Figeys D. Bottom-Up Proteomics (2013-2015): Keeping up in the Era of Systems Biology. Anal Chem 2015; 88:95-121. [PMID: 26558748 DOI: 10.1021/acs.analchem.5b04230] [Citation(s) in RCA: 49] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Affiliation(s)
- Janice Mayne
- Ottawa Institute of Systems Biology, Department of Biochemistry, Microbiology and Immunology, University of Ottawa , 451 Smyth Rd., Ottawa, Ontario, Canada , K1H8M5
| | - Zhibin Ning
- Ottawa Institute of Systems Biology, Department of Biochemistry, Microbiology and Immunology, University of Ottawa , 451 Smyth Rd., Ottawa, Ontario, Canada , K1H8M5
| | - Xu Zhang
- Ottawa Institute of Systems Biology, Department of Biochemistry, Microbiology and Immunology, University of Ottawa , 451 Smyth Rd., Ottawa, Ontario, Canada , K1H8M5
| | - Amanda E Starr
- Ottawa Institute of Systems Biology, Department of Biochemistry, Microbiology and Immunology, University of Ottawa , 451 Smyth Rd., Ottawa, Ontario, Canada , K1H8M5
| | - Rui Chen
- Ottawa Institute of Systems Biology, Department of Biochemistry, Microbiology and Immunology, University of Ottawa , 451 Smyth Rd., Ottawa, Ontario, Canada , K1H8M5
| | - Shelley Deeke
- Ottawa Institute of Systems Biology, Department of Biochemistry, Microbiology and Immunology, University of Ottawa , 451 Smyth Rd., Ottawa, Ontario, Canada , K1H8M5
| | - Cheng-Kang Chiang
- Ottawa Institute of Systems Biology, Department of Biochemistry, Microbiology and Immunology, University of Ottawa , 451 Smyth Rd., Ottawa, Ontario, Canada , K1H8M5
| | - Bo Xu
- Ottawa Institute of Systems Biology, Department of Biochemistry, Microbiology and Immunology, University of Ottawa , 451 Smyth Rd., Ottawa, Ontario, Canada , K1H8M5
| | - Ming Wen
- Ottawa Institute of Systems Biology, Department of Biochemistry, Microbiology and Immunology, University of Ottawa , 451 Smyth Rd., Ottawa, Ontario, Canada , K1H8M5
| | - Kai Cheng
- Ottawa Institute of Systems Biology, Department of Biochemistry, Microbiology and Immunology, University of Ottawa , 451 Smyth Rd., Ottawa, Ontario, Canada , K1H8M5
| | - Deeptee Seebun
- Ottawa Institute of Systems Biology, Department of Biochemistry, Microbiology and Immunology, University of Ottawa , 451 Smyth Rd., Ottawa, Ontario, Canada , K1H8M5
| | - Alexandra Star
- Ottawa Institute of Systems Biology, Department of Biochemistry, Microbiology and Immunology, University of Ottawa , 451 Smyth Rd., Ottawa, Ontario, Canada , K1H8M5
| | - Jasmine I Moore
- Ottawa Institute of Systems Biology, Department of Biochemistry, Microbiology and Immunology, University of Ottawa , 451 Smyth Rd., Ottawa, Ontario, Canada , K1H8M5
| | - Daniel Figeys
- Ottawa Institute of Systems Biology, Department of Biochemistry, Microbiology and Immunology, University of Ottawa , 451 Smyth Rd., Ottawa, Ontario, Canada , K1H8M5
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35
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Proteomic analysis of neurons microdissected from formalin-fixed, paraffin-embedded Alzheimer's disease brain tissue. Sci Rep 2015; 5:15456. [PMID: 26487484 PMCID: PMC4614382 DOI: 10.1038/srep15456] [Citation(s) in RCA: 55] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2015] [Accepted: 09/25/2015] [Indexed: 12/22/2022] Open
Abstract
The vast majority of human tissue specimens are formalin-fixed, paraffin embedded (FFPE) archival samples, making this type of tissue a potential gold mine for medical research. It is now accepted that proteomics can be done using FFPE tissue and can generate similar results as snap-frozen tissue. However, the current methodology requires a large amount of starting protein, limiting the questions that can be answered in these types of proteomics studies and making cell-type specific proteomics studies difficult. Cell-type specific proteomics has the potential to greatly enhance understanding of cell functioning in both normal and disease states. Therefore, here we describe a new method that allows localized proteomics on individual cell populations isolated from FFPE tissue sections using laser capture microdissection. To demonstrate this technique we microdissected neurons from archived tissue blocks of the temporal cortex from patients with Alzheimer’s disease. Using this method we identified over 400 proteins in microdissected neurons; on average 78% that were neuronal and 50% that were associated with Alzheimer’s disease. Therefore, this technique is able to provide accurate and meaningful data and has great potential for any future study that wishes to perform localized proteomics using very small amounts of archived FFPE tissue.
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36
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Noberini R, Uggetti A, Pruneri G, Minucci S, Bonaldi T. Pathology Tissue-quantitative Mass Spectrometry Analysis to Profile Histone Post-translational Modification Patterns in Patient Samples. Mol Cell Proteomics 2015; 15:866-77. [PMID: 26463340 PMCID: PMC4813706 DOI: 10.1074/mcp.m115.054510] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2015] [Indexed: 12/18/2022] Open
Abstract
Histone post-translational modifications (hPTMs) generate a complex combinatorial code that has been implicated with various pathologies, including cancer. Dissecting such a code in physiological and diseased states may be exploited for epigenetic biomarker discovery, but hPTM analysis in clinical samples has been hindered by technical limitations. Here, we developed a method (PAThology tissue analysis of Histones by Mass Spectrometry - PAT-H-MS) that allows to perform a comprehensive, unbiased and quantitative MS-analysis of hPTM patterns on formalin-fixed paraffin-embedded (FFPE) samples. In pairwise comparisons, histone extracted from formalin-fixed paraffin-embedded tissues showed patterns similar to fresh frozen samples for 24 differentially modified peptides from histone H3. In addition, when coupled with a histone-focused version of the super-SILAC approach, this method allows the accurate quantification of modification changes among breast cancer patient samples. As an initial application of the PAThology tissue analysis of Histones by Mass Spectrometry method, we analyzed breast cancer samples, revealing significant changes in histone H3 methylation patterns among Luminal A-like and Triple Negative disease subtypes. These results pave the way for retrospective epigenetic studies that combine the power of MS-based hPTM analysis with the extensive clinical information associated with formalin-fixed paraffin-embedded archives.
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Affiliation(s)
- Roberta Noberini
- From the ‡Center for Genomic Science of IIT@SEMM, Istituto Italiano di Tecnologia, Via Adamello 16, 20139 Milan, Italy
| | - Andrea Uggetti
- §Biobank for Translational Medicine Unit, Department of Pathology, European Institute of Oncology, Via Ripamonti 435, 20141 Milano
| | - Giancarlo Pruneri
- §Biobank for Translational Medicine Unit, Department of Pathology, European Institute of Oncology, Via Ripamonti 435, 20141 Milano; ¶School of Medicine, University of Milan, 20122 Milan, Italy
| | - Saverio Minucci
- ‖Department of Experimental Oncology, European Institute of Oncology, Via Adamello 16, 20139 Milan, Italy; **Drug Development Program, European Institute of Oncology, Via Adamello 16, 20139 Milan, Italy; ‡‡Department of Bioscience, University of Milan, 20133 Milan, Italy
| | - Tiziana Bonaldi
- ‖Department of Experimental Oncology, European Institute of Oncology, Via Adamello 16, 20139 Milan, Italy;
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