1
|
Demirci H, Popovic S, Dittmayer C, Yilmaz DE, El-Shimy IA, Mülleder M, Hinze C, Su M, Mertins P, Kirchner M, Osmanodja B, Paliege A, Budde K, Amann K, Persson PB, Mutig K, Bachmann S. Immunosuppression with cyclosporine versus tacrolimus shows distinctive nephrotoxicity profiles within renal compartments. Acta Physiol (Oxf) 2024; 240:e14190. [PMID: 38884453 DOI: 10.1111/apha.14190] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2024] [Revised: 05/18/2024] [Accepted: 06/04/2024] [Indexed: 06/18/2024]
Abstract
AIM Calcineurin inhibitors (CNIs) are the backbone for immunosuppression after solid organ transplantation. Although successful in preventing kidney transplant rejection, their nephrotoxic side effects contribute to allograft injury. Renal parenchymal lesions occur for cyclosporine A (CsA) as well as for the currently favored tacrolimus (Tac). We aimed to study whether chronic CsA and Tac exposures, before reaching irreversible nephrotoxic damage, affect renal compartments differentially and whether related pathogenic mechanisms can be identified. METHODS CsA and Tac were administered chronically in wild type Wistar rats using osmotic minipumps over 4 weeks. Functional parameters were controlled. Electron microscopy, confocal, and 3D-structured illumination microscopy were used for histopathology. Clinical translatability was tested in human renal biopsies. Standard biochemical, RNA-seq, and proteomic technologies were applied to identify implicated molecular pathways. RESULTS Both drugs caused significant albeit differential damage in vasculature and nephron. The glomerular filtration barrier was more affected by Tac than by CsA, showing prominent deteriorations in endothelium and podocytes along with impaired VEGF/VEGFR2 signaling and podocyte-specific gene expression. By contrast, proximal tubule epithelia were more severely affected by CsA than by Tac, revealing lysosomal dysfunction, enhanced apoptosis, impaired proteostasis and oxidative stress. Lesion characteristics were confirmed in human renal biopsies. CONCLUSION We conclude that pathogenetic alterations in the renal compartments are specific for either treatment. Considering translation to the clinical setting, CNI choice should reflect individual risk factors for renal vasculature and tubular epithelia. As a step in this direction, we share protein signatures identified from multiomics with potential pathognomonic relevance.
Collapse
Affiliation(s)
- Hasan Demirci
- Institute of Functional Anatomy, Charité, Universitätsmedizin Berlin, Berlin, Germany
- Department of Cell- and Neurobiology, Charité, Universitätsmedizin Berlin, Berlin, Germany
| | - Suncica Popovic
- Institute of Functional Anatomy, Charité, Universitätsmedizin Berlin, Berlin, Germany
| | - Carsten Dittmayer
- Department of Neuropathology, Charité, Universitätsmedizin Berlin, Berlin, Germany
| | - Duygu Elif Yilmaz
- Institute of Functional Anatomy, Charité, Universitätsmedizin Berlin, Berlin, Germany
| | - Ismail Amr El-Shimy
- Molecular Epidemiology Unit, Berlin Institute of Health, Charité, Universitätsmedizin Berlin, Berlin, Germany
| | - Michael Mülleder
- Core Facility-High-Throughput Mass Spectrometry, Charité, Universitätsmedizin Berlin, Berlin, Germany
| | - Christian Hinze
- Department of Nephrology and Hypertension, Hannover Medical School, Hannover, Germany
| | - Mingzhen Su
- Department of Cell- and Neurobiology, Charité, Universitätsmedizin Berlin, Berlin, Germany
| | - Philipp Mertins
- Core Unit Proteomics, Berlin Institute of Health at Charité, Universitätsmedizin Berlin and Max-Delbrück-Center for Molecular Medicine, Berlin, Germany
| | - Marieluise Kirchner
- Core Unit Proteomics, Berlin Institute of Health at Charité, Universitätsmedizin Berlin and Max-Delbrück-Center for Molecular Medicine, Berlin, Germany
| | - Bilgin Osmanodja
- Department of Nephrology and Medical Intensive Care, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Alexander Paliege
- Department of Nephrology, Universitätsklinikum Carl Gustav Carus Dresden, Dresden, Germany
| | - Klemens Budde
- Department of Nephrology and Medical Intensive Care, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Kerstin Amann
- Department of Nephropathology, Institute of Pathology, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany
| | - Pontus B Persson
- Department of Translational Physiology, Charité, Universitätsmedizin Berlin, Berlin, Germany
| | - Kerim Mutig
- Department of Translational Physiology, Charité, Universitätsmedizin Berlin, Berlin, Germany
- Department of Pharmacology, Institute of Pharmacy, I.M. Sechenov First Moscow State Medical University, Moscow, Russia
| | - Sebastian Bachmann
- Institute of Functional Anatomy, Charité, Universitätsmedizin Berlin, Berlin, Germany
- Department of Cell- and Neurobiology, Charité, Universitätsmedizin Berlin, Berlin, Germany
| |
Collapse
|
2
|
Yeo S, Jang J, Jung HJ, Lee H, Lee S, Choe Y. A Zwitterionic Detergent and Catalyst-Based Single-Cell Proteomics Using a Loss-Free Microhole-Collection Disc. Anal Chem 2024. [PMID: 38991018 DOI: 10.1021/acs.analchem.4c00158] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/13/2024]
Abstract
Recent advances in single-cell proteomics have solved many bottlenecks, such as throughput, sample recovery, and scalability via nanoscale sample handling. In this study, we aimed for a sensitive mass spectrometry (MS) analysis capable of handling single cells with a conventional mass spectrometry workflow without additional equipment. We achieved seamless cell lysis and TMT labeling in a micro-HOLe Disc (microHOLD) by developing a mass-compatible single solution based on a zwitterionic detergent and a catalyst for single-cell lysis and tandem mass tag labeling without a heat incubation step. This method was developed to avoid peptide loss by surface adsorption and buffer or tube changes by collecting tandem mass tag-labeled peptide through microholes placed in the liquid chromatography injection vials in a single solution. We successfully applied the microHOLD single-cell proteomics method for the analysis of proteome reprogramming in hormone-sensitive prostate cells to develop castration-resistant prostate cancer cells. This novel single-cell proteomics method is not limited by cutting-edge nanovolume handling equipment and achieves high throughput and ultrasensitive proteomics analysis of limited samples, such as single cells.
Collapse
Affiliation(s)
- Seungeun Yeo
- Developmental disorders & rare diseases Research Group, Korea Brain Research Institute, Daegu 41062, Republic of Korea
- School of Pharmacy, Sungkyunkwan University, Suwon 16419, Republic of Korea
| | - Jaemyung Jang
- Developmental disorders & rare diseases Research Group, Korea Brain Research Institute, Daegu 41062, Republic of Korea
| | - Hyun Jin Jung
- Developmental disorders & rare diseases Research Group, Korea Brain Research Institute, Daegu 41062, Republic of Korea
| | - Hyeyoung Lee
- Division of Applied Bioengineering, Dong-Eui University, Busan 47340, Republic of Korea
| | - Sangkyu Lee
- School of Pharmacy, Sungkyunkwan University, Suwon 16419, Republic of Korea
| | - Youngshik Choe
- Developmental disorders & rare diseases Research Group, Korea Brain Research Institute, Daegu 41062, Republic of Korea
| |
Collapse
|
3
|
Giroux P, Vialaret J, Kindermans J, Gabelle A, Bauchet L, Hirtz C, Lehmann S, Colinge J. Modeling the Simultaneous Dynamics of Proteins in Blood Plasma and the Cerebrospinal Fluid in Human In Vivo. J Proteome Res 2024; 23:2408-2418. [PMID: 38857467 PMCID: PMC11232576 DOI: 10.1021/acs.jproteome.4c00059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2024] [Revised: 04/12/2024] [Accepted: 05/30/2024] [Indexed: 06/12/2024]
Abstract
The analysis of protein dynamics or turnover in patients has the potential to reveal altered protein recycling, such as in Alzheimer's disease, and to provide informative data regarding drug efficacy or certain biological processes. The observed protein dynamics in a solid tissue or a fluid is the net result of not only protein synthesis and degradation but also transport across biological compartments. We report an accurate 3-biological compartment model able to simultaneously account for the protein dynamics observed in blood plasma and the cerebrospinal fluid (CSF) including a hidden central nervous system (CNS) compartment. We successfully applied this model to 69 proteins of a single individual displaying similar or very different dynamics in plasma and CSF. This study puts a strong emphasis on the methods and tools needed to develop this type of model. We believe that it will be useful to any researcher dealing with protein dynamics data modeling.
Collapse
Affiliation(s)
- Pierre Giroux
- Université
de Montpellier, 34090 Montpellier, France
- Institut
Régional du Cancer Montpellier (ICM), 34298 Montpellier, France
- Institut
de Recherche en Cancérologie de Montpellier (IRCM), Inserm
U1194, 34298 Montpellier, France
| | - Jérôme Vialaret
- LBPC-PPC
CHU Montpellier, INM, Inserm, 34295 Montpellier, France
| | - Jana Kindermans
- LBPC-PPC
CHU Montpellier, INM, Inserm, 34295 Montpellier, France
| | - Audrey Gabelle
- Université
de Montpellier, 34090 Montpellier, France
- CMRR
CHU Montpellier, INM, Inserm, 34295 Montpellier, France
| | - Luc Bauchet
- Université
de Montpellier, 34090 Montpellier, France
- Department
of Neurosurgery, CHU Montpellier, INM, Inserm, 34295 Montpellier, France
| | - Christophe Hirtz
- Université
de Montpellier, 34090 Montpellier, France
- LBPC-PPC
CHU Montpellier, INM, Inserm, 34295 Montpellier, France
- CMRR
CHU Montpellier, INM, Inserm, 34295 Montpellier, France
| | - Sylvain Lehmann
- Université
de Montpellier, 34090 Montpellier, France
- LBPC-PPC
CHU Montpellier, INM, Inserm, 34295 Montpellier, France
| | - Jacques Colinge
- Université
de Montpellier, 34090 Montpellier, France
- Institut
Régional du Cancer Montpellier (ICM), 34298 Montpellier, France
- Institut
de Recherche en Cancérologie de Montpellier (IRCM), Inserm
U1194, 34298 Montpellier, France
| |
Collapse
|
4
|
Gegner HM, Naake T, Aljakouch K, Dugourd A, Kliewer G, Müller T, Schilling D, Schneider MA, Kunze-Rohrbach N, Grünewald TGP, Hell R, Saez-Rodriguez J, Huber W, Poschet G, Krijgsveld J. A single-sample workflow for joint metabolomic and proteomic analysis of clinical specimens. Clin Proteomics 2024; 21:49. [PMID: 38969985 PMCID: PMC11225228 DOI: 10.1186/s12014-024-09501-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2024] [Accepted: 06/26/2024] [Indexed: 07/07/2024] Open
Abstract
Understanding the interplay of the proteome and the metabolome helps to understand cellular regulation and response. To enable robust inferences from such multi-omics analyses, we introduced and evaluated a workflow for combined proteome and metabolome analysis starting from a single sample. Specifically, we integrated established and individually optimized protocols for metabolomic and proteomic profiling (EtOH/MTBE and autoSP3, respectively) into a unified workflow (termed MTBE-SP3), and took advantage of the fact that the protein residue of the metabolomic sample can be used as a direct input for proteome analysis. We particularly evaluated the performance of proteome analysis in MTBE-SP3, and demonstrated equivalence of proteome profiles irrespective of prior metabolite extraction. In addition, MTBE-SP3 combines the advantages of EtOH/MTBE and autoSP3 for semi-automated metabolite extraction and fully automated proteome sample preparation, respectively, thus advancing standardization and scalability for large-scale studies. We showed that MTBE-SP3 can be applied to various biological matrices (FFPE tissue, fresh-frozen tissue, plasma, serum and cells) to enable implementation in a variety of clinical settings. To demonstrate applicability, we applied MTBE-SP3 and autoSP3 to a lung adenocarcinoma cohort showing consistent proteomic alterations between tumour and non-tumour adjacent tissue independent of the method used. Integration with metabolomic data obtained from the same samples revealed mitochondrial dysfunction in tumour tissue through deregulation of OGDH, SDH family enzymes and PKM. In summary, MTBE-SP3 enables the facile and reliable parallel measurement of proteins and metabolites obtained from the same sample, benefiting from reduced sample variation and input amount. This workflow is particularly applicable for studies with limited sample availability and offers the potential to enhance the integration of metabolomic and proteomic datasets.
Collapse
Affiliation(s)
- Hagen M Gegner
- Centre for Organismal Studies (COS), Metabolomics Core Technology Platform, Heidelberg University, Im Neuenheimer Feld 360, 69120, Heidelberg, Germany
| | - Thomas Naake
- Genome Biology Unit, European Molecular Biology Laboratory (EMBL), Meyerhofstr. 1, 69117, Heidelberg, Germany
| | - Karim Aljakouch
- Faculty of Medicine, Heidelberg University, 69120, Heidelberg, Germany
- Division Proteomics of Stem Cells and Cancer, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 581, 69120, Heidelberg, Germany
| | - Aurelien Dugourd
- Institute for Computational Biomedicine, Bioquant, Faculty of Medicine, Heidelberg University and Heidelberg University Hospital, Im Neuenheimer Feld 130, 69120, Heidelberg, Germany
| | - Georg Kliewer
- Faculty of Medicine, Heidelberg University, 69120, Heidelberg, Germany
- Division Proteomics of Stem Cells and Cancer, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 581, 69120, Heidelberg, Germany
| | - Torsten Müller
- Faculty of Medicine, Heidelberg University, 69120, Heidelberg, Germany
- Division Proteomics of Stem Cells and Cancer, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 581, 69120, Heidelberg, Germany
| | - Dustin Schilling
- Institute for Computational Biomedicine, Bioquant, Faculty of Medicine, Heidelberg University and Heidelberg University Hospital, Im Neuenheimer Feld 130, 69120, Heidelberg, Germany
| | - Marc A Schneider
- Translational Research Unit, Thoraxklinik at Heidelberg University Hospital, Röntgenstraße 1, 69126, Heidelberg, Germany
- Translational Research Center Heidelberg (TLRC), Member of The German Center for Lung Research (DZL), Im Neuenheimer Feld 156, 69120, Heidelberg, Germany
| | - Nina Kunze-Rohrbach
- Centre for Organismal Studies (COS), Metabolomics Core Technology Platform, Heidelberg University, Im Neuenheimer Feld 360, 69120, Heidelberg, Germany
| | - Thomas G P Grünewald
- Division of Translational Pediatric Sarcoma Research, German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), Im Neuenheimer Feld 280, 69120, Heidelberg, Germany
- Hopp-Children's Cancer Center (KiTZ), Heidelberg, Germany
- Institute of Pathology, Heidelberg University Hospital, Im Neuenheimer Feld 224, 69120, Heidelberg, Germany
- National Center for Tumor Diseases (NCT), NCT Heidelberg, DKFZ and Heidelberg University Hospital, Heidelberg, Germany
| | - Rüdiger Hell
- Centre for Organismal Studies (COS), Metabolomics Core Technology Platform, Heidelberg University, Im Neuenheimer Feld 360, 69120, Heidelberg, Germany
| | - Julio Saez-Rodriguez
- Institute for Computational Biomedicine, Bioquant, Faculty of Medicine, Heidelberg University and Heidelberg University Hospital, Im Neuenheimer Feld 130, 69120, Heidelberg, Germany
| | - Wolfgang Huber
- Genome Biology Unit, European Molecular Biology Laboratory (EMBL), Meyerhofstr. 1, 69117, Heidelberg, Germany
| | - Gernot Poschet
- Centre for Organismal Studies (COS), Metabolomics Core Technology Platform, Heidelberg University, Im Neuenheimer Feld 360, 69120, Heidelberg, Germany.
| | - Jeroen Krijgsveld
- Faculty of Medicine, Heidelberg University, 69120, Heidelberg, Germany.
- Division Proteomics of Stem Cells and Cancer, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 581, 69120, Heidelberg, Germany.
| |
Collapse
|
5
|
Zhang S, Ghalandari B, Chen Y, Wang Q, Liu K, Sun X, Ding X, Song S, Jiang L, Ding X. Boronic Acid-Rich Lanthanide Metal-Organic Frameworks Enable Deep Proteomics with Ultratrace Biological Samples. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2024:e2401559. [PMID: 38958107 DOI: 10.1002/adma.202401559] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/30/2024] [Revised: 06/21/2024] [Indexed: 07/04/2024]
Abstract
Label-free proteomics is widely used to identify disease mechanism and potential therapeutic targets. However, deep proteomics with ultratrace clinical specimen remains a major technical challenge due to extensive contact loss during complex sample pretreatment. Here, a hybrid of four boronic acid-rich lanthanide metal-organic frameworks (MOFs) with high protein affinity is introduced to capture proteins in ultratrace samples jointly by nitrogen-boronate complexation, cation-π and ionic interactions. A MOFs Aided Sample Preparation (MASP) workflow that shrinks sample volume and integrates lysis, protein capture, protein digestion and peptide collection steps into a single PCR tube to minimize sample loss caused by non-specific absorption, is proposed further. MASP is validated to quantify ≈1800 proteins in 10 HEK-293T cells. MASP is applied to profile cerebrospinal fluid (CSF) proteome from cerebral stroke and brain damaged patients, and identified ≈3700 proteins in 1 µL CSF. MASP is further demonstrated to detect ≈9600 proteins in as few as 50 µg mouse brain tissues. MASP thus enables deep, scalable, and reproducible proteome on precious clinical samples with low abundant proteins.
Collapse
Affiliation(s)
- Shuang Zhang
- Department of Anesthesiology and Surgical Intensive Care Unit, Xinhua Hospital, School of Medicine and School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, P. R. China
- State Key Laboratory of Oncogenes and Related Genes, Institute for Personalized Medicine, Shanghai Jiao Tong University, Shanghai, 200030, P. R. China
| | - Behafarid Ghalandari
- Department of Anesthesiology and Surgical Intensive Care Unit, Xinhua Hospital, School of Medicine and School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, P. R. China
- State Key Laboratory of Oncogenes and Related Genes, Institute for Personalized Medicine, Shanghai Jiao Tong University, Shanghai, 200030, P. R. China
| | - Youming Chen
- Department of Anesthesiology and Surgical Intensive Care Unit, Xinhua Hospital, School of Medicine and School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, P. R. China
- State Key Laboratory of Oncogenes and Related Genes, Institute for Personalized Medicine, Shanghai Jiao Tong University, Shanghai, 200030, P. R. China
| | - Qingwen Wang
- Department of Anesthesiology and Surgical Intensive Care Unit, Xinhua Hospital, School of Medicine and School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, P. R. China
- State Key Laboratory of Oncogenes and Related Genes, Institute for Personalized Medicine, Shanghai Jiao Tong University, Shanghai, 200030, P. R. China
| | - Kun Liu
- Department of Anesthesiology and Surgical Intensive Care Unit, Xinhua Hospital, School of Medicine and School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, P. R. China
- State Key Laboratory of Oncogenes and Related Genes, Institute for Personalized Medicine, Shanghai Jiao Tong University, Shanghai, 200030, P. R. China
| | - Xinyi Sun
- Department of Anesthesiology and Surgical Intensive Care Unit, Xinhua Hospital, School of Medicine and School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, P. R. China
- State Key Laboratory of Oncogenes and Related Genes, Institute for Personalized Medicine, Shanghai Jiao Tong University, Shanghai, 200030, P. R. China
| | - Xinwen Ding
- Department of Anesthesiology and Surgical Intensive Care Unit, Xinhua Hospital, School of Medicine and School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, P. R. China
- State Key Laboratory of Oncogenes and Related Genes, Institute for Personalized Medicine, Shanghai Jiao Tong University, Shanghai, 200030, P. R. China
| | - Sunfengda Song
- Department of Anesthesiology and Surgical Intensive Care Unit, Xinhua Hospital, School of Medicine and School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, P. R. China
- State Key Laboratory of Oncogenes and Related Genes, Institute for Personalized Medicine, Shanghai Jiao Tong University, Shanghai, 200030, P. R. China
| | - Lai Jiang
- Department of Anesthesiology and Surgical Intensive Care Unit, Xinhua Hospital, School of Medicine and School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, P. R. China
- State Key Laboratory of Oncogenes and Related Genes, Institute for Personalized Medicine, Shanghai Jiao Tong University, Shanghai, 200030, P. R. China
| | - Xianting Ding
- Department of Anesthesiology and Surgical Intensive Care Unit, Xinhua Hospital, School of Medicine and School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, P. R. China
- State Key Laboratory of Oncogenes and Related Genes, Institute for Personalized Medicine, Shanghai Jiao Tong University, Shanghai, 200030, P. R. China
| |
Collapse
|
6
|
LIU W, WENG L, GAO M, ZHANG X. [Applications of high performance liquid chromatography-mass spectrometry in proteomics]. Se Pu 2024; 42:601-612. [PMID: 38966969 PMCID: PMC11224944 DOI: 10.3724/sp.j.1123.2023.11006] [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: 11/09/2023] [Indexed: 07/06/2024] Open
Abstract
Proteomics profiling plays an important role in biomedical studies. Proteomics studies are much more complicated than genome research, mainly because of the complexity and diversity of proteomic samples. High performance liquid chromatography-mass spectrometry (HPLC-MS) is a fundamental tool in proteomics research owing to its high speed, resolution, and sensitivity. Proteomics research targets from the peptides and individual proteins to larger protein complexes, the molecular weight of which gradually increases, leading to sustained increases in structural and compositional complexity and alterations in molecular properties. Therefore, the selection of various separation strategies and stationary-phase parameters is crucial when dealing with the different targets in proteomics research for in-depth proteomics analysis. This article provides an overview of commonly used chromatographic-separation strategies in the laboratory, including reversed-phase liquid chromatography (RPLC), hydrophilic interaction liquid chromatography (HILIC), hydrophobic interaction chromatography (HIC), ion-exchange chromatography (IEC), and size-exclusion chromatography (SEC), as well as their applications and selectivity in the context of various biomacromolecules. At present, no single chromatographic or electrophoretic technology features the peak capacity required to resolve such complex mixtures into individual components. Multidimensional liquid chromatography (MDLC), which combines different orthogonal separation modes with MS, plays an important role in proteomics research. In the MDLC strategy, IEC, together with RPLC, remains the most widely used separation mode in proteomics analysis; other chromatographic methods are also frequently used for peptide/protein fractionation. MDLC technologies and their applications in a variety of proteomics analyses have undergone great development. Two strategies in MDLC separation systems are mainly used in proteomics profiling: the "bottom-up" approach and the "top-down" approach. The "shotgun" method is a typical "bottom-up" strategy that is based on the RPLC or MDLC separation of whole-protein-sample digests coupled with MS; it is an excellent technique for identifying a large number of proteins. "Top-down" analysis is based on the separation of intact proteins and provides their detailed molecular information; thus, this technique may be advantageous for analyzing the post-translational modifications (PTMs) of proteins. In this paper, the "bottom-up" "top-down" and protein-protein interaction (PPI) analyses of proteome samples are briefly reviewed. The diverse combinations of different chromatographic modes used to set up MDLC systems are described, and compatibility issues between mobile phases and analytes, between mobile phases and MS, and between mobile phases in different separation modes in multidimensional chromatography are analyzed. Novel developments in MDLC techniques, such as high-abundance protein depletion and chromatography arrays, are further discussed. In this review, the solutions proposed by researchers when encountering compatibility issues are emphasized. Moreover, the applications of HPLC-MS combined with various sample pretreatment methods in the study of exosomal and single-cell proteomics are examined. During exosome isolation, the combined use of ultracentrifugation and SEC can yield exosomes of higher purity. The use of SEC with ultra-large-pore-size packing materials (200 nm) enables the isolation of exosomal subgroups, and proteomics studies have revealed significant differences in protein composition and function between these subgroups. In the field of single-cell proteomics, researchers have addressed challenges related to reducing sample processing volumes, preventing sample loss, and avoiding contamination during sample preparation. Innovative methods and improvements, such as the utilization of capillaries for sample processing and microchips as platforms to minimize the contact area of the droplets, have been proposed. The integration of these techniques with HPLC-MS shows some progress. In summary, this article focuses on the recent advances in HPLC-MS technology for proteomics analysis and provides a comprehensive reference for future research in the field of proteomics.
Collapse
|
7
|
Zhong X, Li Q, Polacco BJ, Patil T, Marley A, Foussard H, Khare P, Vartak R, Xu J, DiBerto JF, Roth BL, Eckhardt M, von Zastrow M, Krogan NJ, Hüttenhain R. A proximity proteomics pipeline with improved reproducibility and throughput. Mol Syst Biol 2024:10.1038/s44320-024-00049-2. [PMID: 38951684 DOI: 10.1038/s44320-024-00049-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2023] [Revised: 06/09/2024] [Accepted: 06/11/2024] [Indexed: 07/03/2024] Open
Abstract
Proximity labeling (PL) via biotinylation coupled with mass spectrometry (MS) captures spatial proteomes in cells. Large-scale processing requires a workflow minimizing hands-on time and enhancing quantitative reproducibility. We introduced a scalable PL pipeline integrating automated enrichment of biotinylated proteins in a 96-well plate format. Combining this with optimized quantitative MS based on data-independent acquisition (DIA), we increased sample throughput and improved protein identification and quantification reproducibility. We applied this pipeline to delineate subcellular proteomes across various compartments. Using the 5HT2A serotonin receptor as a model, we studied temporal changes of proximal interaction networks induced by receptor activation. In addition, we modified the pipeline for reduced sample input to accommodate CRISPR-based gene knockout, assessing dynamics of the 5HT2A network in response to perturbation of selected interactors. This PL approach is universally applicable to PL proteomics using biotinylation-based PL enzymes, enhancing throughput and reproducibility of standard protocols.
Collapse
Affiliation(s)
- Xiaofang Zhong
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, 94158, USA
- J. David Gladstone Institutes, San Francisco, CA, 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, 94158, USA
| | - Qiongyu Li
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, 94158, USA
- J. David Gladstone Institutes, San Francisco, CA, 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, 94158, USA
| | - Benjamin J Polacco
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, 94158, USA
- J. David Gladstone Institutes, San Francisco, CA, 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, 94158, USA
| | - Trupti Patil
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, 94158, USA
- J. David Gladstone Institutes, San Francisco, CA, 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, 94158, USA
| | - Aaron Marley
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, CA, 94158, USA
| | - Helene Foussard
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, 94158, USA
- J. David Gladstone Institutes, San Francisco, CA, 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, 94158, USA
| | - Prachi Khare
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, 94158, USA
- J. David Gladstone Institutes, San Francisco, CA, 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, 94158, USA
| | - Rasika Vartak
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, 94158, USA
- J. David Gladstone Institutes, San Francisco, CA, 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, 94158, USA
| | - Jiewei Xu
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, 94158, USA
- J. David Gladstone Institutes, San Francisco, CA, 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, 94158, USA
| | - Jeffrey F DiBerto
- Department of Pharmacology, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Bryan L Roth
- Department of Pharmacology, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Manon Eckhardt
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, 94158, USA
- J. David Gladstone Institutes, San Francisco, CA, 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, 94158, USA
| | - Mark von Zastrow
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, 94158, USA
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, CA, 94158, USA
| | - Nevan J Krogan
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, 94158, USA
- J. David Gladstone Institutes, San Francisco, CA, 94158, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, 94158, USA
| | - Ruth Hüttenhain
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, 94158, USA.
- J. David Gladstone Institutes, San Francisco, CA, 94158, USA.
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, 94158, USA.
- Department of Molecular and Cellular Physiology, Stanford University School of Medicine, Stanford, CA, 94305, USA.
| |
Collapse
|
8
|
Ciordia S, Santos FM, Dias JML, Lamas JR, Paradela A, Alvarez-Sola G, Ávila MA, Corrales F. Refinement of paramagnetic bead-based digestion protocol for automatic sample preparation using an artificial neural network. Talanta 2024; 274:125988. [PMID: 38569368 DOI: 10.1016/j.talanta.2024.125988] [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: 01/25/2024] [Revised: 03/19/2024] [Accepted: 03/22/2024] [Indexed: 04/05/2024]
Abstract
Despite technological advances in the proteomics field, sample preparation still represents the main bottleneck in mass spectrometry (MS) analysis. Bead-based protein aggregation techniques have recently emerged as an efficient, reproducible, and high-throughput alternative for protein extraction and digestion. Here, a refined paramagnetic bead-based digestion protocol is described for Opentrons® OT-2 platform (OT-2) as a versatile, reproducible, and affordable alternative for the automatic sample preparation for MS analysis. For this purpose, an artificial neural network (ANN) was applied to maximize the number of peptides without missed cleavages identified in HeLa extract by combining factors such as the quantity (μg) of trypsin/Lys-C and beads (MagReSyn® Amine), % (w/v) SDS, % (v/v) acetonitrile, and time of digestion (h). ANN model predicted the optimal conditions for the digestion of 50 μg of HeLa extract, pointing to the use of 2.5% (w/v) SDS and 300 μg of beads for sample preparation and long-term digestion (16h) with 0.15 μg Lys-C and 2.5 μg trypsin (≈1:17 ratio). Based on the results of the ANN model, the manual protocol was automated in OT-2. The performance of the automatic protocol was evaluated with different sample types, including human plasma, Arabidopsis thaliana leaves, Escherichia coli cells, and mouse tissue cortex, showing great reproducibility and low sample-to-sample variability in all cases. In addition, we tested the performance of this method in the preparation of a challenging biological fluid such as rat bile, a proximal fluid that is rich in bile salts, bilirubin, cholesterol, and fatty acids, among other MS interferents. Compared to other protocols described in the literature for the extraction and digestion of bile proteins, the method described here allowed identify 385 unique proteins, thus contributing to improving the coverage of the bile proteome.
Collapse
Affiliation(s)
- Sergio Ciordia
- Functional Proteomics Laboratory, Centro Nacional de Biotecnología, CSIC, Calle Darwin 3, Campus de Cantoblanco, 28049, Madrid, Spain
| | - Fátima Milhano Santos
- Functional Proteomics Laboratory, Centro Nacional de Biotecnología, CSIC, Calle Darwin 3, Campus de Cantoblanco, 28049, Madrid, Spain
| | - João M L Dias
- Department of Medical Genetics, University of Cambridge, Cambridge, United Kingdom; Early Cancer Institute, University of Cambridge, Cambridge, United Kingdom
| | - José Ramón Lamas
- Functional Proteomics Laboratory, Centro Nacional de Biotecnología, CSIC, Calle Darwin 3, Campus de Cantoblanco, 28049, Madrid, Spain
| | - Alberto Paradela
- Functional Proteomics Laboratory, Centro Nacional de Biotecnología, CSIC, Calle Darwin 3, Campus de Cantoblanco, 28049, Madrid, Spain
| | - Gloria Alvarez-Sola
- Hepatology Laboratory, Solid Tumors Program, Center for Applied Medical Research (CIMA), University of Navarra, 31008, Pamplona, Spain; National Institute for the Study of Liver and Gastrointestinal Diseases (CIBERehd, Carlos III Health Institute), 28029, Madrid, Spain; IdiSNA, Navarra Institute for Health Research, 31008, Pamplona, Spain
| | - Matías A Ávila
- Hepatology Laboratory, Solid Tumors Program, Center for Applied Medical Research (CIMA), University of Navarra, 31008, Pamplona, Spain; National Institute for the Study of Liver and Gastrointestinal Diseases (CIBERehd, Carlos III Health Institute), 28029, Madrid, Spain; IdiSNA, Navarra Institute for Health Research, 31008, Pamplona, Spain
| | - Fernando Corrales
- Functional Proteomics Laboratory, Centro Nacional de Biotecnología, CSIC, Calle Darwin 3, Campus de Cantoblanco, 28049, Madrid, Spain.
| |
Collapse
|
9
|
Tanca A, Deledda MA, De Diego L, Abbondio M, Uzzau S. Benchmarking low- and high-throughput protein cleanup and digestion methods for human fecal metaproteomics. mSystems 2024:e0066124. [PMID: 38934547 DOI: 10.1128/msystems.00661-24] [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: 05/10/2024] [Accepted: 06/06/2024] [Indexed: 06/28/2024] Open
Abstract
The application of fecal metaproteomics to large-scale studies of the gut microbiota requires high-throughput analysis and standardized experimental protocols. Although high-throughput protein cleanup and digestion methods are increasingly used in shotgun proteomics, no studies have yet critically compared such protocols using human fecal samples. In this study, human fecal protein extracts were processed using several different protocols based on three main approaches: filter-aided sample preparation (FASP), solid-phase-enhanced sample preparation (SP3), and suspension trapping (S-Trap). These protocols were applied in both low-throughput (i.e., microtube-based) and high-throughput (i.e., microplate-based) formats, and the final peptide mixtures were analyzed by liquid chromatography coupled to high-resolution tandem mass spectrometry. The FASP-based methods and the combination of SP3 with in-StageTips (iST) yielded the best results in terms of the number of peptides identified through a database search against gut microbiome and human sequences. The efficiency of protein digestion, the ability to preserve hydrophobic peptides and high molecular weight proteins, and the reproducibility of the methods were also evaluated for the different protocols. Other relevant variables, including interindividual variability of stool, duration of protocols, and total costs, were considered and discussed. In conclusion, the data presented here can significantly contribute to the optimization and standardization of sample preparation protocols in human fecal metaproteomics. Furthermore, the promising results obtained with the high-throughput methods are expected to encourage the development of automated workflows and their application to large-scale gut microbiome studies.IMPORTANCEFecal metaproteomics is an experimental approach that allows the investigation of gut microbial functions, which are involved in many different physiological and pathological processes. Standardization and automation of sample preparation protocols in fecal metaproteomics are essential for its application in large-scale studies. Here, we comparatively evaluated different methods, available also in a high-throughput format, enabling two key steps of the metaproteomics analytical workflow (namely, protein cleanup and digestion). The results of our study provide critical information that may be useful for the optimization of metaproteomics experimental pipelines and their implementation in laboratory automation systems.
Collapse
Affiliation(s)
- Alessandro Tanca
- Department of Biomedical Sciences, University of Sassari, Sassari, Italy
- Unit of Microbiology and Virology, University Hospital of Sassari, Sassari, Italy
| | | | - Laura De Diego
- Department of Biomedical Sciences, University of Sassari, Sassari, Italy
| | - Marcello Abbondio
- Department of Biomedical Sciences, University of Sassari, Sassari, Italy
- Unit of Microbiology and Virology, University Hospital of Sassari, Sassari, Italy
| | - Sergio Uzzau
- Department of Biomedical Sciences, University of Sassari, Sassari, Italy
- Unit of Microbiology and Virology, University Hospital of Sassari, Sassari, Italy
| |
Collapse
|
10
|
Sánchez-López CM, González-Arce A, Ramírez-Toledo V, Bernal D, Marcilla A. Unraveling new players in helminth pathology: extracellular vesicles from Fasciola hepatica and Dicrocoelium dendriticum exert different effects on hepatic stellate cells and hepatocytes. Int J Parasitol 2024:S0020-7519(24)00134-6. [PMID: 38925265 DOI: 10.1016/j.ijpara.2024.06.002] [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: 12/27/2023] [Revised: 03/02/2024] [Accepted: 06/19/2024] [Indexed: 06/28/2024]
Abstract
Fasciola hepatica and Dicrocoelium dendriticum are parasitic trematodes residing in the bile ducts of mammalian hosts, causing, in some cases, impairment of liver function and hepatic fibrosis. Previous studies have shown that extracellular vesicles released by F. hepatica (FhEVs) and D. dendriticum (DdEVs) induce a distinct phenotype in human macrophages, but there is limited information on the effect of parasitic EVs on liver cells, which interact directly with the worms in natural infections. In this study, we isolated FhEVs and DdEVs by size exclusion chromatography and labeled them with a lipophilic fluorescent dye to analyze their uptake by human hepatic stellate cells (HSC) and hepatocytes, important cell types in liver pathology, using synthetic liposomes as internal labeling and uptake control. We analyzed EV uptake and the proteome profiles after the treatment with EVs for both cell types. Our results reveal that EVs establish unique and specific interactions with stellate cells and hepatocytes, suggesting a different role of EVs derived from each parasite, depending on the migration route to reach their final niche. FhEVs have a cytostatic effect on HSCs, but induce the extracellular matrix secretion and elicit anti-inflammatory responses in hepatocytes. DdEVs have a more potent anti-proliferative effect than FhEVs and trigger a global inflammatory response, increasing the levels of NF-κB and other inflammatory mediators in both cell types. These interactions may have a major influence on the progression of the disease, serving to generate conditions that may favor the establishment of the helminths in the host.
Collapse
Affiliation(s)
- Christian M Sánchez-López
- Área de Parasitología, Departament de Farmacia i Tecnologia Farmacèutica i Parasitologia. Universitat de València, Burjassot, Valencia, Spain; Joint Research Unit on Endocrinology, Nutrition and Clinical Dietetics, Health Research IIS La Fe-Universitat de València, Valencia, Spain
| | - Aránzazu González-Arce
- Área de Parasitología, Departament de Farmacia i Tecnologia Farmacèutica i Parasitologia. Universitat de València, Burjassot, Valencia, Spain
| | | | - Dolores Bernal
- Departament de Bioquímica i Biologia Molecular, Facultat de Ciències Biològiques, Universitat de València, Burjassot, Valencia, Spain.
| | - Antonio Marcilla
- Área de Parasitología, Departament de Farmacia i Tecnologia Farmacèutica i Parasitologia. Universitat de València, Burjassot, Valencia, Spain; Joint Research Unit on Endocrinology, Nutrition and Clinical Dietetics, Health Research IIS La Fe-Universitat de València, Valencia, Spain.
| |
Collapse
|
11
|
Oliinyk D, Will A, Schneidmadel FR, Böhme M, Rinke J, Hochhaus A, Ernst T, Hahn N, Geis C, Lubeck M, Raether O, Humphrey SJ, Meier F. µPhos: a scalable and sensitive platform for high-dimensional phosphoproteomics. Mol Syst Biol 2024:10.1038/s44320-024-00050-9. [PMID: 38907068 DOI: 10.1038/s44320-024-00050-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Revised: 06/06/2024] [Accepted: 06/11/2024] [Indexed: 06/23/2024] Open
Abstract
Mass spectrometry has revolutionized cell signaling research by vastly simplifying the analysis of many thousands of phosphorylation sites in the human proteome. Defining the cellular response to perturbations is crucial for further illuminating the functionality of the phosphoproteome. Here we describe µPhos ('microPhos'), an accessible phosphoproteomics platform that permits phosphopeptide enrichment from 96-well cell culture and small tissue amounts in <8 h total processing time. By greatly minimizing transfer steps and liquid volumes, we demonstrate increased sensitivity, >90% selectivity, and excellent quantitative reproducibility. Employing highly sensitive trapped ion mobility mass spectrometry, we quantify ~17,000 Class I phosphosites in a human cancer cell line using 20 µg starting material, and confidently localize ~6200 phosphosites from 1 µg. This depth covers key signaling pathways, rendering sample-limited applications and perturbation experiments with hundreds of samples viable. We employ µPhos to study drug- and time-dependent response signatures in a leukemia cell line, and by quantifying 30,000 Class I phosphosites in the mouse brain we reveal distinct spatial kinase activities in subregions of the hippocampal formation.
Collapse
Affiliation(s)
- Denys Oliinyk
- Functional Proteomics, Jena University Hospital, 07747, Jena, Germany
- Comprehensive Cancer Center Central Germany, 07747, Jena, Germany
| | - Andreas Will
- Functional Proteomics, Jena University Hospital, 07747, Jena, Germany
- Comprehensive Cancer Center Central Germany, 07747, Jena, Germany
| | - Felix R Schneidmadel
- Functional Proteomics, Jena University Hospital, 07747, Jena, Germany
- Comprehensive Cancer Center Central Germany, 07747, Jena, Germany
| | - Maximilian Böhme
- Comprehensive Cancer Center Central Germany, 07747, Jena, Germany
- Klinik für Innere Medizin II, Jena University Hospital, 07747, Jena, Germany
| | - Jenny Rinke
- Comprehensive Cancer Center Central Germany, 07747, Jena, Germany
- Klinik für Innere Medizin II, Jena University Hospital, 07747, Jena, Germany
| | - Andreas Hochhaus
- Comprehensive Cancer Center Central Germany, 07747, Jena, Germany
- Klinik für Innere Medizin II, Jena University Hospital, 07747, Jena, Germany
| | - Thomas Ernst
- Comprehensive Cancer Center Central Germany, 07747, Jena, Germany
- Klinik für Innere Medizin II, Jena University Hospital, 07747, Jena, Germany
| | - Nina Hahn
- Section of Translational Neuroimmunology, Department of Neurology, Jena University Hospital, 07747, Jena, Germany
- Center for Sepsis Control and Care, Jena University Hospital, 07747, Jena, Germany
| | - Christian Geis
- Section of Translational Neuroimmunology, Department of Neurology, Jena University Hospital, 07747, Jena, Germany
- Center for Sepsis Control and Care, Jena University Hospital, 07747, Jena, Germany
| | - Markus Lubeck
- Bruker Daltonics GmbH & Co. KG, 28359, Bremen, Germany
| | | | - Sean J Humphrey
- Murdoch Children's Research Institute, Royal Children's Hospital, Parkville, 3052, Victoria, Australia.
| | - Florian Meier
- Functional Proteomics, Jena University Hospital, 07747, Jena, Germany.
- Comprehensive Cancer Center Central Germany, 07747, Jena, Germany.
| |
Collapse
|
12
|
Martin KR, Le HT, Abdelgawad A, Yang C, Lu G, Keffer JL, Zhang X, Zhuang Z, Asare-Okai PN, Chan CS, Batish M, Yu Y. Development of an efficient, effective, and economical technology for proteome analysis. CELL REPORTS METHODS 2024; 4:100796. [PMID: 38866007 PMCID: PMC11228373 DOI: 10.1016/j.crmeth.2024.100796] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/19/2024] [Revised: 03/21/2024] [Accepted: 05/20/2024] [Indexed: 06/14/2024]
Abstract
We present an efficient, effective, and economical approach, named E3technology, for proteomics sample preparation. By immobilizing silica microparticles into the polytetrafluoroethylene matrix, we develop a robust membrane medium, which could serve as a reliable platform to generate proteomics-friendly samples in a rapid and low-cost fashion. We benchmark its performance using different formats and demonstrate them with a variety of sample types of varied complexity, quantity, and volume. Our data suggest that E3technology provides proteome-wide identification and quantitation performance equivalent or superior to many existing methods. We further propose an enhanced single-vessel approach, named E4technology, which performs on-filter in-cell digestion with minimal sample loss and high sensitivity, enabling low-input and low-cell proteomics. Lastly, we utilized the above technologies to investigate RNA-binding proteins and profile the intact bacterial cell proteome.
Collapse
Affiliation(s)
- Katherine R Martin
- Department of Chemistry and Biochemistry, University of Delaware, Newark, DE 19716, USA
| | - Ha T Le
- Department of Chemistry and Biochemistry, University of Delaware, Newark, DE 19716, USA
| | - Ahmed Abdelgawad
- Department of Biological Sciences, University of Delaware, Newark, DE 19716, USA; Department of Medical and Molecular Sciences, University of Delaware, Newark, DE 19716, USA
| | - Canyuan Yang
- Department of Chemistry and Biochemistry, University of Delaware, Newark, DE 19716, USA
| | - Guotao Lu
- CDS Analytical, LLC, Oxford, PA 19363, USA
| | - Jessica L Keffer
- Department of Earth Sciences, University of Delaware, Newark, DE 19716, USA
| | | | - Zhihao Zhuang
- Department of Chemistry and Biochemistry, University of Delaware, Newark, DE 19716, USA
| | - Papa Nii Asare-Okai
- Department of Chemistry and Biochemistry, University of Delaware, Newark, DE 19716, USA
| | - Clara S Chan
- Department of Earth Sciences, University of Delaware, Newark, DE 19716, USA; School of Marine Science and Policy, University of Delaware, Newark, DE 19716, USA
| | - Mona Batish
- Department of Biological Sciences, University of Delaware, Newark, DE 19716, USA; Department of Medical and Molecular Sciences, University of Delaware, Newark, DE 19716, USA.
| | - Yanbao Yu
- Department of Chemistry and Biochemistry, University of Delaware, Newark, DE 19716, USA.
| |
Collapse
|
13
|
Fröhlich K, Fahrner M, Brombacher E, Seredynska A, Maldacker M, Kreutz C, Schmidt A, Schilling O. Data-independent acquisition: A milestone and prospect in clinical mass spectrometry-based proteomics. Mol Cell Proteomics 2024:100800. [PMID: 38880244 DOI: 10.1016/j.mcpro.2024.100800] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2024] [Revised: 06/08/2024] [Accepted: 06/13/2024] [Indexed: 06/18/2024] Open
Abstract
Data-independent acquisition (DIA) has revolutionized the field of mass spectrometry (MS)-based proteomics over the past few years. DIA stands out for its ability to systematically sample all peptides in a given mass-to-charge range, allowing an unbiased acquisition of proteomics data. This greatly mitigates the issue of missing values and significantly enhances quantitative accuracy, precision, and reproducibility compared to many traditional methods. This review focuses on the critical role of DIA analysis software tools, primarily focusing on their capabilities and the challenges they address in proteomic research. Advances in MS technology, such as trapped ion mobility spectrometry, or high field asymmetric waveform ion mobility spectrometry require sophisticated analysis software capable of handling the increased data complexity and exploiting the full potential of DIA. We identify and critically evaluate leading software tools in the DIA landscape, discussing their unique features, and the reliability of their quantitative and qualitative outputs. We present the biological and clinical relevance of DIA-MS and discuss crucial publications that paved the way for in-depth proteomic characterization in patient-derived specimens. Furthermore, we provide a perspective on emerging trends in clinical applications and present upcoming challenges including standardization and certification of MS-based acquisition strategies in molecular diagnostics. While we emphasize the need for continuous development of software tools to keep pace with evolving technologies, we advise researchers against uncritically accepting the results from DIA software tools. Each tool may have its own biases, and some may not be as sensitive or reliable as others. Our overarching recommendation for both researchers and clinicians is to employ multiple DIA analysis tools, utilizing orthogonal analysis approaches to enhance the robustness and reliability of their findings.
Collapse
Affiliation(s)
- Klemens Fröhlich
- Proteomics Core Facility, Biozentrum Basel, University of Basel, Basel, Switzerland
| | - Matthias Fahrner
- Institute for Surgical Pathology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Germany; German Cancer Consortium (DKTK) and Cancer Research Center (DKFZ), Freiburg, Germany
| | - Eva Brombacher
- Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center-University of Freiburg, Germany; Centre for Integrative Biological Signaling Studies (CIBSS), University of Freiburg, Germany; Spemann Graduate School of Biology and Medicine (SGBM), University of Freiburg, Germany; Faculty of Biology, University of Freiburg, Germany
| | - Adrianna Seredynska
- Institute for Surgical Pathology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Germany; German Cancer Consortium (DKTK) and Cancer Research Center (DKFZ), Freiburg, Germany; Faculty of Biology, University of Freiburg, Germany
| | - Maximilian Maldacker
- Institute for Surgical Pathology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Germany; Faculty of Biology, University of Freiburg, Germany
| | - Clemens Kreutz
- Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center-University of Freiburg, Germany; Centre for Integrative Biological Signaling Studies (CIBSS), University of Freiburg, Germany
| | - Alexander Schmidt
- Proteomics Core Facility, Biozentrum Basel, University of Basel, Basel, Switzerland
| | - Oliver Schilling
- Institute for Surgical Pathology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Germany; German Cancer Consortium (DKTK) and Cancer Research Center (DKFZ), Freiburg, Germany
| |
Collapse
|
14
|
Jiang Y, DeBord D, Vitrac H, Stewart J, Haghani A, Van Eyk JE, Fert-Bober J, Meyer JG. The Future of Proteomics is Up in the Air: Can Ion Mobility Replace Liquid Chromatography for High Throughput Proteomics? J Proteome Res 2024; 23:1871-1882. [PMID: 38713528 PMCID: PMC11161313 DOI: 10.1021/acs.jproteome.4c00248] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/09/2024]
Abstract
The coevolution of liquid chromatography (LC) with mass spectrometry (MS) has shaped contemporary proteomics. LC hyphenated to MS now enables quantification of more than 10,000 proteins in a single injection, a number that likely represents most proteins in specific human cells or tissues. Separations by ion mobility spectrometry (IMS) have recently emerged to complement LC and further improve the depth of proteomics. Given the theoretical advantages in speed and robustness of IMS in comparison to LC, we envision that ongoing improvements to IMS paired with MS may eventually make LC obsolete, especially when combined with targeted or simplified analyses, such as rapid clinical proteomics analysis of defined biomarker panels. In this perspective, we describe the need for faster analysis that might drive this transition, the current state of direct infusion proteomics, and discuss some technical challenges that must be overcome to fully complete the transition to entirely gas phase proteomics.
Collapse
Affiliation(s)
- Yuming Jiang
- Department of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, California 90048, United States
- The Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California 90048, United States
| | - Daniel DeBord
- MOBILion Systems Inc., Chadds Ford, Pennsylvania 19317, United States
| | - Heidi Vitrac
- MOBILion Systems Inc., Chadds Ford, Pennsylvania 19317, United States
| | - Jordan Stewart
- MOBILion Systems Inc., Chadds Ford, Pennsylvania 19317, United States
| | - Ali Haghani
- The Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California 90048, United States
- Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California 90048, United States
| | - Jennifer E Van Eyk
- The Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California 90048, United States
- Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California 90048, United States
| | - Justyna Fert-Bober
- The Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California 90048, United States
- Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California 90048, United States
| | - Jesse G Meyer
- Department of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, California 90048, United States
- The Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California 90048, United States
| |
Collapse
|
15
|
Thiery J, Fahrner M. Integration of proteomics in the molecular tumor board. Proteomics 2024; 24:e2300002. [PMID: 38143279 DOI: 10.1002/pmic.202300002] [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: 07/24/2023] [Revised: 12/03/2023] [Accepted: 12/05/2023] [Indexed: 12/26/2023]
Abstract
Cancer remains one of the most complex and challenging diseases in mankind. To address the need for a personalized treatment approach for particularly complex tumor cases, molecular tumor boards (MTBs) have been initiated. MTBs are interdisciplinary teams that perform in-depth molecular diagnostics to cooperatively and interdisciplinarily advise on the best therapeutic strategy. Current molecular diagnostics are routinely performed on the transcriptomic and genomic levels, aiming to identify tumor-driving mutations. However, these approaches can only partially capture the actual phenotype and the molecular key players of tumor growth and progression. Thus, direct investigation of the expressed proteins and activated signaling pathways provide valuable complementary information on the tumor-driving molecular characteristics of the tissue. Technological advancements in mass spectrometry-based proteomics enable the robust, rapid, and sensitive detection of thousands of proteins in minimal sample amounts, paving the way for clinical proteomics and the probing of oncogenic signaling activity. Therefore, proteomics is currently being integrated into molecular diagnostics within MTBs and holds promising potential in aiding tumor classification and identifying personalized treatment strategies. This review introduces MTBs and describes current clinical proteomics, its potential in precision oncology, and highlights the benefits of multi-omic data integration.
Collapse
Affiliation(s)
- Johanna Thiery
- Institute for Surgical Pathology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Matthias Fahrner
- Institute for Surgical Pathology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- German Cancer Consortium (DKTK) and Cancer Research Center (DKFZ), Freiburg, Germany
| |
Collapse
|
16
|
Baratta M, Jian W, Hengel S, Kaur S, Cunliffe J, Boer J, Hughes N, Kar S, Kellie J, Kim YJ, Lassman M, Mehl J, Morgan L, Palandra J, Sarvaiya H, Zeng J, Zheng N, Wang J, Yuan L, Ji A, Kochansky C, Tao L, Huang Y, Maes E, Barbero L, Contrepois K, Ferrari L, Fu Y, Johnson J, Jones B, Kansal M, Lu Y, Post N, Shen H(H, Xue Y(YJ, Zhang Y(C, Biswas G, Cho S(J, Edmison A, Benson K, Abberley L, Azadeh M, Francis J, Garofolo F, Gupta S, Ivanova I(D, Ishii-Watabe A, Karnik S, Kassim S, Kavetska O, Keller S, Kossary E, Li W, McCush F, Mendes DN, Abhari MR, Scheibner K, Sikorski T, Staack RF, Tabler E, Tang H, Wan K, Wang YM, Whale E, Yang L, Zimmer J, Bandukwala A, Du X, Kholmanskikh O, Gijsel SKD, Wadhwa M, Xu J, Buoninfante A, Cludts I, Diebold S, Maxfield K, Mayer C, Pedras-Vasconcelos J, Abhari MR, Shubow S, Tanaka Y, Tounekti O, Verthelyi D, Wagner L. 2023 White Paper on Recent Issues in Bioanalysis: Deuterated Drugs; LNP; Tumor/FFPE Biopsy; Targeted Proteomics; Small Molecule Covalent Inhibitors; Chiral Bioanalysis; Remote Regulatory Assessments; Sample Reconciliation/Chain of Custody (PART 1A - Recommendations on Mass Spectrometry, Chromatography, Sample Preparation Latest Developments, Challenges, and Solutions and BMV/Regulated Bioanalysis PART 1B - Regulatory Agencies' Inputs on Regulated Bioanalysis/BMV, Biomarkers/IVD/CDx/BAV, Immunogenicity, Gene & Cell Therapy and Vaccine). Bioanalysis 2024; 16:307-364. [PMID: 38913185 PMCID: PMC11216509 DOI: 10.1080/17576180.2024.2347153] [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: 04/22/2024] [Accepted: 04/22/2024] [Indexed: 06/25/2024] Open
Abstract
The 17th Workshop on Recent Issues in Bioanalysis (17th WRIB) took place in Orlando, FL, USA on June 19-23, 2023. Over 1000 professionals representing pharma/biotech companies, CROs, and multiple regulatory agencies convened to actively discuss the most current topics of interest in bioanalysis. The 17th WRIB included 3 Main Workshops and 7 Specialized Workshops that together spanned 1 week to allow an exhaustive and thorough coverage of all major issues in bioanalysis of biomarkers, immunogenicity, gene therapy, cell therapy and vaccines.Moreover, in-depth workshops on "EU IVDR 2017/746 Implementation and impact for the Global Biomarker Community: How to Comply with this NEW Regulation" and on "US FDA/OSIS Remote Regulatory Assessments (RRAs)" were the special features of the 17th edition.As in previous years, WRIB continued to gather a wide diversity of international, industry opinion leaders and regulatory authority experts working on both small and large molecules as well as gene, cell therapies and vaccines to facilitate sharing and discussions focused on improving quality, increasing regulatory compliance, and achieving scientific excellence on bioanalytical issues.This 2023 White Paper encompasses recommendations emerging from the extensive discussions held during the workshop and is aimed to provide the bioanalytical community with key information and practical solutions on topics and issues addressed, in an effort to enable advances in scientific excellence, improved quality and better regulatory compliance. Due to its length, the 2023 edition of this comprehensive White Paper has been divided into three parts for editorial reasons.This publication covers the recommendations on Mass Spectrometry Assays, Regulated Bioanalysis/BMV (Part 1A) and Regulatory Inputs (Part 1B). Part 2 (Biomarkers, IVD/CDx, LBA and Cell-Based Assays) and Part 3 (Gene Therapy, Cell therapy, Vaccines and Biotherapeutics Immunogenicity) are published in volume 16 of Bioanalysis, issues 7 and 8 (2024), respectively.
Collapse
Affiliation(s)
| | - Wenying Jian
- Johnson & Johnson Innovative Medicine, Spring House, PA, USA
| | | | | | | | | | | | | | | | | | | | - John Mehl
- GlaxoSmithKline, Collegeville, PA, USA
| | | | | | | | | | - Naiyu Zheng
- Bristol-Myers Squibb, Lawrenceville, NJ, USA
| | | | | | | | | | | | - Yue Huang
- AstraZeneca, South San Francisco, CA, USA
| | | | | | | | - Luca Ferrari
- F. Hoffmann-La Roche Ltd, Roche Pharma Research & Early Development (pRED), Basel, Switzerland
| | | | | | | | | | - Yang Lu
- US FDA, Silver Spring, MD, USA
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Roland F Staack
- Roche Pharma Research & Early Development, Roche Innovation Center, Munich, Germany
| | | | | | | | | | | | - Li Yang
- US FDA, Silver Spring, MD, USA
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
17
|
Peters-Clarke TM, Coon JJ, Riley NM. Instrumentation at the Leading Edge of Proteomics. Anal Chem 2024; 96:7976-8010. [PMID: 38738990 DOI: 10.1021/acs.analchem.3c04497] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/14/2024]
Affiliation(s)
- Trenton M Peters-Clarke
- Department of Chemistry, University of Wisconsin─Madison, Madison, Wisconsin 53706, United States
- Department of Biomolecular Chemistry, University of Wisconsin─Madison, Madison, Wisconsin 53706, United States
| | - Joshua J Coon
- Department of Chemistry, University of Wisconsin─Madison, Madison, Wisconsin 53706, United States
- Department of Biomolecular Chemistry, University of Wisconsin─Madison, Madison, Wisconsin 53706, United States
- Morgridge Institute for Research, Madison, Wisconsin 53715, United States
| | - Nicholas M Riley
- Department of Chemistry, University of Washington, Seattle, Washington 98195, United States
| |
Collapse
|
18
|
Murfuni MS, Prestagiacomo LE, Giuliano A, Gabriele C, Signoretti S, Cuda G, Gaspari M. Evaluation of PAC and FASP Performance: DIA-Based Quantitative Proteomic Analysis. Int J Mol Sci 2024; 25:5141. [PMID: 38791181 PMCID: PMC11121386 DOI: 10.3390/ijms25105141] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2024] [Revised: 04/30/2024] [Accepted: 05/03/2024] [Indexed: 05/26/2024] Open
Abstract
The aim of this study was to compare filter-aided sample preparation (FASP) and protein aggregation capture (PAC) starting from a three-species protein mix (Human, Soybean and Pisum sativum) and two different starting amounts (1 and 10 µg). Peptide mixtures were analyzed by data-independent acquisition (DIA) and raw files were processed by three commonly used software: Spectronaut, MaxDIA and DIA-NN. Overall, the highest number of proteins (mean value of 5491) were identified by PAC (10 µg), while the lowest number (4855) was identified by FASP (1 µg). The latter experiment displayed the worst performance in terms of both specificity (0.73) and precision (0.24). Other tested conditions showed better diagnostic accuracy, with specificity values of 0.95-0.99 and precision values between 0.61 and 0.86. In order to provide guidance on the data analysis pipeline, the accuracy diagnostic of three software was investigated: (i) the highest sensitivity was obtained with Spectronaut (median of 0.67) highlighting the ability of Spectronaut to quantify low-abundance proteins, (ii) the best precision value was obtained by MaxDIA (median of 0.84), but with a reduced number of identifications compared to Spectronaut and DIA-NN data, and (iii) the specificity values were similar (between 0.93 and 0.99). The data are available on ProteomeXchange with the identifier PXD044349.
Collapse
|
19
|
Reder A, Hentschker C, Steil L, Gesell Salazar M, Hammer E, Dhople VM, Sura T, Lissner U, Wolfgramm H, Dittmar D, Harms M, Surmann K, Völker U, Michalik S. MassSpecPreppy-An end-to-end solution for automated protein concentration determination and flexible sample digestion for proteomics applications. Proteomics 2024; 24:e2300294. [PMID: 37772677 DOI: 10.1002/pmic.202300294] [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: 07/31/2023] [Revised: 09/13/2023] [Accepted: 09/14/2023] [Indexed: 09/30/2023]
Abstract
In proteomics, fast, efficient, and highly reproducible sample preparation is of utmost importance, particularly in view of fast scanning mass spectrometers enabling analyses of large sample series. To address this need, we have developed the web application MassSpecPreppy that operates on the open science OT-2 liquid handling robot from Opentrons. This platform can prepare up to 96 samples at once, performing tasks like BCA protein concentration determination, sample digestion with normalization, reduction/alkylation and peptide elution into vials or loading specified peptide amounts onto Evotips in an automated and flexible manner. The performance of the developed workflows using MassSpecPreppy was compared with standard manual sample preparation workflows. The BCA assay experiments revealed an average recovery of 101.3% (SD: ± 7.82%) for the MassSpecPreppy workflow, while the manual workflow had a recovery of 96.3% (SD: ± 9.73%). The species mix used in the evaluation experiments showed that 94.5% of protein groups for OT-2 digestion and 95% for manual digestion passed the significance thresholds with comparable peptide level coefficient of variations. These results demonstrate that MassSpecPreppy is a versatile and scalable platform for automated sample preparation, producing injection-ready samples for proteomics research.
Collapse
Affiliation(s)
- Alexander Reder
- Interfaculty Institute of Genetics and Functional Genomics, Department of Functional Genomics, University Medicine Greifswald, Greifswald, Germany
| | - Christian Hentschker
- Interfaculty Institute of Genetics and Functional Genomics, Department of Functional Genomics, University Medicine Greifswald, Greifswald, Germany
| | - Leif Steil
- Interfaculty Institute of Genetics and Functional Genomics, Department of Functional Genomics, University Medicine Greifswald, Greifswald, Germany
| | - Manuela Gesell Salazar
- Interfaculty Institute of Genetics and Functional Genomics, Department of Functional Genomics, University Medicine Greifswald, Greifswald, Germany
| | - Elke Hammer
- Interfaculty Institute of Genetics and Functional Genomics, Department of Functional Genomics, University Medicine Greifswald, Greifswald, Germany
| | - Vishnu M Dhople
- Interfaculty Institute of Genetics and Functional Genomics, Department of Functional Genomics, University Medicine Greifswald, Greifswald, Germany
| | - Thomas Sura
- Interfaculty Institute of Genetics and Functional Genomics, Department of Functional Genomics, University Medicine Greifswald, Greifswald, Germany
| | - Ulrike Lissner
- Interfaculty Institute of Genetics and Functional Genomics, Department of Functional Genomics, University Medicine Greifswald, Greifswald, Germany
| | - Hannes Wolfgramm
- Interfaculty Institute of Genetics and Functional Genomics, Department of Functional Genomics, University Medicine Greifswald, Greifswald, Germany
| | - Denise Dittmar
- Interfaculty Institute of Genetics and Functional Genomics, Department of Functional Genomics, University Medicine Greifswald, Greifswald, Germany
| | - Marco Harms
- Interfaculty Institute of Genetics and Functional Genomics, Department of Functional Genomics, University Medicine Greifswald, Greifswald, Germany
| | - Kristin Surmann
- Interfaculty Institute of Genetics and Functional Genomics, Department of Functional Genomics, University Medicine Greifswald, Greifswald, Germany
| | - Uwe Völker
- Interfaculty Institute of Genetics and Functional Genomics, Department of Functional Genomics, University Medicine Greifswald, Greifswald, Germany
| | - Stephan Michalik
- Interfaculty Institute of Genetics and Functional Genomics, Department of Functional Genomics, University Medicine Greifswald, Greifswald, Germany
| |
Collapse
|
20
|
Diaz-Jimenez A, Ramos M, Helm B, Chocarro S, Frey DL, Agrawal S, Somogyi K, Klingmüller U, Lu J, Sotillo R. Concurrent inhibition of ALK and SRC kinases disrupts the ALK lung tumor cell proteome. Drug Resist Updat 2024; 74:101081. [PMID: 38521003 DOI: 10.1016/j.drup.2024.101081] [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: 12/06/2023] [Revised: 02/23/2024] [Accepted: 03/17/2024] [Indexed: 03/25/2024]
Abstract
Precision oncology has revolutionized the treatment of ALK-positive lung cancer with targeted therapies. However, an unmet clinical need still to address is the treatment of refractory tumors that contain drug-induced resistant mutations in the driver oncogene or exhibit resistance through the activation of diverse mechanisms. In this study, we established mouse tumor-derived cell models representing the two most prevalent EML4-ALK variants in human lung adenocarcinomas and characterized their proteomic profiles to gain insights into the underlying resistance mechanisms. We showed that Eml4-Alk variant 3 confers a worse response to ALK inhibitors, suggesting its role in promoting resistance to targeted therapy. In addition, proteomic analysis of brigatinib-treated cells revealed the upregulation of SRC kinase, a protein frequently activated in cancer. Co-targeting of ALK and SRC showed remarkable inhibitory effects in both ALK-driven murine and ALK-patient-derived lung tumor cells. This combination induced cell death through a multifaceted mechanism characterized by profound perturbation of the (phospho)proteomic landscape and a synergistic suppressive effect on the mTOR pathway. Our study demonstrates that the simultaneous inhibition of ALK and SRC can potentially overcome resistance mechanisms and enhance clinical outcomes in ALK-positive lung cancer patients. ONE SENTENCE SUMMARY: Co-targeting ALK and SRC enhances ALK inhibitor response in lung cancer by affecting the proteomic profile, offering hope for overcoming resistance and improving clinical outcomes.
Collapse
Affiliation(s)
- Alberto Diaz-Jimenez
- Division of Molecular Thoracic Oncology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, Heidelberg 69120, Germany; Ruprecht Karls University of Heidelberg, Heidelberg 69120, Germany
| | - Maria Ramos
- Division of Molecular Thoracic Oncology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, Heidelberg 69120, Germany; Ruprecht Karls University of Heidelberg, Heidelberg 69120, Germany
| | - Barbara Helm
- Division of Systems Biology of Signal Transduction, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, Heidelberg 69120, Germany; German Center for Lung Research (DZL) and Translational Lung Research Center Heidelberg (TLRC), Germany
| | - Sara Chocarro
- Division of Molecular Thoracic Oncology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, Heidelberg 69120, Germany; Ruprecht Karls University of Heidelberg, Heidelberg 69120, Germany
| | - Dario Lucas Frey
- Division of Systems Biology of Signal Transduction, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, Heidelberg 69120, Germany
| | - Shubham Agrawal
- Medical Faculty Heidelberg, Heidelberg University, Heidelberg 69120, Germany
| | - Kalman Somogyi
- Division of Molecular Thoracic Oncology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, Heidelberg 69120, Germany
| | - Ursula Klingmüller
- Division of Systems Biology of Signal Transduction, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, Heidelberg 69120, Germany; German Center for Lung Research (DZL) and Translational Lung Research Center Heidelberg (TLRC), Germany
| | - Junyan Lu
- Medical Faculty Heidelberg, Heidelberg University, Heidelberg 69120, Germany
| | - Rocio Sotillo
- Division of Molecular Thoracic Oncology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, Heidelberg 69120, Germany; German Center for Lung Research (DZL) and Translational Lung Research Center Heidelberg (TLRC), Germany.
| |
Collapse
|
21
|
Horvat N, Chocarro S, Marques O, Bauer TA, Qiu R, Diaz-Jimenez A, Helm B, Chen Y, Sawall S, Sparla R, Su L, Klingmüller U, Barz M, Hentze MW, Sotillo R, Muckenthaler MU. Superparamagnetic Iron Oxide Nanoparticles Reprogram the Tumor Microenvironment and Reduce Lung Cancer Regrowth after Crizotinib Treatment. ACS NANO 2024; 18:11025-11041. [PMID: 38626916 PMCID: PMC11064219 DOI: 10.1021/acsnano.3c08335] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Revised: 03/11/2024] [Accepted: 03/15/2024] [Indexed: 05/01/2024]
Abstract
ALK-positive NSCLC patients demonstrate initial responses to ALK tyrosine kinase inhibitor (TKI) treatments, but eventually develop resistance, causing rapid tumor relapse and poor survival rates. Growing evidence suggests that the combination of drug and immune therapies greatly improves patient survival; however, due to the low immunogenicity of the tumors, ALK-positive patients do not respond to currently available immunotherapies. Tumor-associated macrophages (TAMs) play a crucial role in facilitating lung cancer growth by suppressing tumoricidal immune activation and absorbing chemotherapeutics. However, they can also be programmed toward a pro-inflammatory tumor suppressive phenotype, which represents a highly active area of therapy development. Iron loading of TAMs can achieve such reprogramming correlating with an improved prognosis in lung cancer patients. We previously showed that superparamagnetic iron oxide nanoparticles containing core-cross-linked polymer micelles (SPION-CCPMs) target macrophages and stimulate pro-inflammatory activation. Here, we show that SPION-CCPMs stimulate TAMs to secrete reactive nitrogen species and cytokines that exert tumoricidal activity. We further show that SPION-CCPMs reshape the immunosuppressive Eml4-Alk lung tumor microenvironment (TME) toward a cytotoxic profile hallmarked by the recruitment of CD8+ T cells, suggesting a multifactorial benefit of SPION-CCPM application. When intratracheally instilled into lung cancer-bearing mice, SPION-CCPMs delay tumor growth and, after first line therapy with a TKI, halt the regrowth of relapsing tumors. These findings identify SPIONs-CCPMs as an adjuvant therapy, which remodels the TME, resulting in a delay in the appearance of resistant tumors.
Collapse
Affiliation(s)
- Natalie
K. Horvat
- Department
of Pediatric Hematology, Oncology, Immunology and Pulmonology, Heidelberg University Hospital, Im Neuenheimer Feld 350, 69120, Heidelberg, Germany
- Molecular
Medicine Partnership Unit (MMPU), Otto-Meyerhof-Zentrum, Im Neuenheimer Feld 350, 69120, Heidelberg, Germany
- Ruprecht
Karl University of Heidelberg, 69120, Heidelberg, Germany
| | - Sara Chocarro
- Division
of Molecular Thoracic Oncology, German Cancer
Research Center (DKFZ), Im Neuenheimer Feld 280, 69120, Heidelberg, Germany
- Ruprecht
Karl University of Heidelberg, 69120, Heidelberg, Germany
| | - Oriana Marques
- Department
of Pediatric Hematology, Oncology, Immunology and Pulmonology, Heidelberg University Hospital, Im Neuenheimer Feld 350, 69120, Heidelberg, Germany
- Molecular
Medicine Partnership Unit (MMPU), Otto-Meyerhof-Zentrum, Im Neuenheimer Feld 350, 69120, Heidelberg, Germany
| | - Tobias A. Bauer
- Leiden
Academic Centre for Drug Research (LACDR), Leiden University, Einsteinweg 55, 2333CC, Leiden, The Netherlands
| | - Ruiyue Qiu
- Department
of Pediatric Hematology, Oncology, Immunology and Pulmonology, Heidelberg University Hospital, Im Neuenheimer Feld 350, 69120, Heidelberg, Germany
| | - Alberto Diaz-Jimenez
- Division
of Molecular Thoracic Oncology, German Cancer
Research Center (DKFZ), Im Neuenheimer Feld 280, 69120, Heidelberg, Germany
- Ruprecht
Karl University of Heidelberg, 69120, Heidelberg, Germany
| | - Barbara Helm
- Division
of Systems Biology of Signal Transduction, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69120, Heidelberg, Germany
- German
Center for Lung Research (DZL) and Translational Lung Research Center
Heidelberg (TRLC), 69120, Heidelberg, Germany
| | - Yuanyuan Chen
- Division
of Molecular Thoracic Oncology, German Cancer
Research Center (DKFZ), Im Neuenheimer Feld 280, 69120, Heidelberg, Germany
| | - Stefan Sawall
- X-ray
Imaging and CT, German Cancer Research Center
(DKFZ), Im Neuenheimer
Feld 280, 69120, Heidelberg, Germany
| | - Richard Sparla
- Department
of Pediatric Hematology, Oncology, Immunology and Pulmonology, Heidelberg University Hospital, Im Neuenheimer Feld 350, 69120, Heidelberg, Germany
| | - Lu Su
- Leiden
Academic Centre for Drug Research (LACDR), Leiden University, Einsteinweg 55, 2333CC, Leiden, The Netherlands
| | - Ursula Klingmüller
- Division
of Systems Biology of Signal Transduction, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69120, Heidelberg, Germany
- German
Center for Lung Research (DZL) and Translational Lung Research Center
Heidelberg (TRLC), 69120, Heidelberg, Germany
- German
Consortium for Translational Cancer Research (DKTK), 69120, Heidelberg, Germany
| | - Matthias Barz
- Leiden
Academic Centre for Drug Research (LACDR), Leiden University, Einsteinweg 55, 2333CC, Leiden, The Netherlands
- Department
of Dermatology, University Medical Center
of the Johannes Gutenberg University Mainz, Langenbeckstraße 1, 55131, Mainz, Germany
| | - Matthias W. Hentze
- Molecular
Medicine Partnership Unit (MMPU), Otto-Meyerhof-Zentrum, Im Neuenheimer Feld 350, 69120, Heidelberg, Germany
- European Molecular Biology Laboratory (EMBL), Meyerhofstr.1, 69117, Heidelberg, Germany
| | - Rocío Sotillo
- Division
of Molecular Thoracic Oncology, German Cancer
Research Center (DKFZ), Im Neuenheimer Feld 280, 69120, Heidelberg, Germany
- German
Center for Lung Research (DZL) and Translational Lung Research Center
Heidelberg (TRLC), 69120, Heidelberg, Germany
- German
Consortium for Translational Cancer Research (DKTK), 69120, Heidelberg, Germany
| | - Martina U. Muckenthaler
- Department
of Pediatric Hematology, Oncology, Immunology and Pulmonology, Heidelberg University Hospital, Im Neuenheimer Feld 350, 69120, Heidelberg, Germany
- Molecular
Medicine Partnership Unit (MMPU), Otto-Meyerhof-Zentrum, Im Neuenheimer Feld 350, 69120, Heidelberg, Germany
- German
Center for Lung Research (DZL) and Translational Lung Research Center
Heidelberg (TRLC), 69120, Heidelberg, Germany
- German Centre for Cardiovascular Research (DZHK), Partner Site, 69120, Heidelberg/Mannheim, Germany
| |
Collapse
|
22
|
Hendricks NG, Bhosale SD, Keoseyan AJ, Ortiz J, Stotland A, Seyedmohammad S, Nguyen CDL, Bui J, Moradian A, Mockus SM, Van Eyk JE. An inflection point in high-throughput proteomics with Orbitrap Astral: analysis of biofluids, cells, and tissues. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.04.26.591396. [PMID: 38712179 PMCID: PMC11071456 DOI: 10.1101/2024.04.26.591396] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/08/2024]
Abstract
This technical note presents a comprehensive proteomics workflow for the new combination of Orbitrap and Astral mass analyzers across biofluids, cells, and tissues. Central to our workflow is the integration of Adaptive Focused Acoustics (AFA) technology for cells and tissue lysis, to ensure robust and reproducible sample preparation in a high-throughput manner. Furthermore, we automated the detergent-compatible single-pot, solid-phase-enhanced sample Preparation (SP3) method for protein digestion, a technique that streamlines the process by combining purification and digestion steps, thereby reducing sample loss and improving efficiency. The synergy of these advanced methodologies facilitates a robust and high-throughput approach for cells and tissue analysis, an important consideration in translational research. This work disseminates our platform workflow, analyzes the effectiveness, demonstrates reproducibility of the results, and highlights the potential of these technologies in biomarker discovery and disease pathology. For cells and tissues (heart, liver, lung, and intestine) proteomics analysis by data-independent acquisition mode, identifications exceeding 10,000 proteins can be achieved with a 24-minute active gradient. In 200ng injections of HeLa digest across multiple gradients, an average of more than 80% of proteins have a CV less than 20%, and a 45-minute run covers ~90% of the expressed proteome. In plasma samples including naive, depleted, perchloric acid precipitated, and Seer nanoparticle captured, all with a 24-minute gradient length, we identified 87, 108, 96 and 137 out of 216 FDA approved circulating protein biomarkers, respectively. This complete workflow allows for large swaths of the proteome to be identified and is compatible across diverse sample types.
Collapse
Affiliation(s)
- Nathan G. Hendricks
- Precision Biomarker Laboratories, Cedars-Sinai Medical Center, Beverly Hills, California 90210, United States
| | - Santosh D. Bhosale
- Precision Biomarker Laboratories, Cedars-Sinai Medical Center, Beverly Hills, California 90210, United States
| | - Angel J. Keoseyan
- Precision Biomarker Laboratories, Cedars-Sinai Medical Center, Beverly Hills, California 90210, United States
| | - Josselin Ortiz
- Precision Biomarker Laboratories, Cedars-Sinai Medical Center, Beverly Hills, California 90210, United States
| | - Aleksandr Stotland
- Smidt Heart Institute, Advanced Clinical Biosystems Research Institute, Cedars-Sinai Medical Center, Los Angeles, California 90048, United States
| | - Saeed Seyedmohammad
- Smidt Heart Institute, Advanced Clinical Biosystems Research Institute, Cedars-Sinai Medical Center, Los Angeles, California 90048, United States
| | - Chi D. L. Nguyen
- Precision Biomarker Laboratories, Cedars-Sinai Medical Center, Beverly Hills, California 90210, United States
| | - Jonathan Bui
- Precision Biomarker Laboratories, Cedars-Sinai Medical Center, Beverly Hills, California 90210, United States
| | - Annie Moradian
- Precision Biomarker Laboratories, Cedars-Sinai Medical Center, Beverly Hills, California 90210, United States
| | - Susan M. Mockus
- Precision Biomarker Laboratories, Cedars-Sinai Medical Center, Beverly Hills, California 90210, United States
| | - Jennifer E Van Eyk
- Precision Biomarker Laboratories, Cedars-Sinai Medical Center, Beverly Hills, California 90210, United States
- Smidt Heart Institute, Advanced Clinical Biosystems Research Institute, Cedars-Sinai Medical Center, Los Angeles, California 90048, United States
| |
Collapse
|
23
|
Mansuri MS, Bathla S, Lam TT, Nairn AC, Williams KR. Optimal conditions for carrying out trypsin digestions on complex proteomes: From bulk samples to single cells. J Proteomics 2024; 297:105109. [PMID: 38325732 PMCID: PMC10939724 DOI: 10.1016/j.jprot.2024.105109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 01/10/2024] [Accepted: 01/31/2024] [Indexed: 02/09/2024]
Abstract
To identify proteins by the bottom-up mass spectrometry workflow, enzymatic digestion is essential to break down proteins into smaller peptides amenable to both chromatographic separation and mass spectrometric analysis. Trypsin is the most extensively used protease due to its high cleavage specificity and generation of peptides with desirable positively charged N- and C-terminal amino acid residues that are amenable to reverse phase HPLC separation and MS/MS analyses. However, trypsin can yield variable digestion profiles and its protein cleavage activity is interdependent on trypsin source and quality, digestion time and temperature, pH, denaturant, trypsin and substrate concentrations, composition/complexity of the sample matrix, and other factors. There is therefore a need for a more standardized, general-purpose trypsin digestion protocol. Based on a review of the literature we delineate optimal conditions for carrying out trypsin digestions of complex proteomes from bulk samples to limiting amounts of protein extracts. Furthermore, we highlight recent developments and technological advances used in digestion protocols to quantify complex proteomes from single cells. SIGNIFICANCE: Currently, bottom-up MS-based proteomics is the method of choice for global proteome analysis. Since trypsin is the most utilized protease in bottom-up MS proteomics, delineating optimal conditions for carrying out trypsin digestions of complex proteomes in samples ranging from tissues to single cells should positively impact a broad range of biomedical research.
Collapse
Affiliation(s)
- M Shahid Mansuri
- Yale/NIDA Neuroproteomics Center, New Haven, CT 06511, USA; Molecular Biophysics and Biochemistry, Yale University School of Medicine, New Haven, CT 06511, USA.
| | - Shveta Bathla
- Yale/NIDA Neuroproteomics Center, New Haven, CT 06511, USA; Department of Psychiatry, Yale School of Medicine, New Haven, CT 06511, USA
| | - TuKiet T Lam
- Yale/NIDA Neuroproteomics Center, New Haven, CT 06511, USA; Molecular Biophysics and Biochemistry, Yale University School of Medicine, New Haven, CT 06511, USA; Keck MS & Proteomics Resource, Yale School of Medicine, New Haven, CT 06511, USA
| | - Angus C Nairn
- Yale/NIDA Neuroproteomics Center, New Haven, CT 06511, USA; Department of Psychiatry, Yale School of Medicine, New Haven, CT 06511, USA
| | - Kenneth R Williams
- Yale/NIDA Neuroproteomics Center, New Haven, CT 06511, USA; Molecular Biophysics and Biochemistry, Yale University School of Medicine, New Haven, CT 06511, USA; Keck MS & Proteomics Resource, Yale School of Medicine, New Haven, CT 06511, USA.
| |
Collapse
|
24
|
Manda V, Pavelka J, Lau E. Proteomics applications in next generation induced pluripotent stem cell models. Expert Rev Proteomics 2024; 21:217-228. [PMID: 38511670 PMCID: PMC11065590 DOI: 10.1080/14789450.2024.2334033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Accepted: 03/08/2024] [Indexed: 03/22/2024]
Abstract
INTRODUCTION Induced pluripotent stem (iPS) cell technology has transformed biomedical research. New opportunities now exist to create new organoids, microtissues, and body-on-a-chip systems for basic biology investigations and clinical translations. AREAS COVERED We discuss the utility of proteomics for attaining an unbiased view into protein expression changes during iPS cell differentiation, cell maturation, and tissue generation. The ability to discover cell-type specific protein markers during the differentiation and maturation of iPS-derived cells has led to new strategies to improve cell production yield and fidelity. In parallel, proteomic characterization of iPS-derived organoids is helping to realize the goal of bridging in vitro and in vivo systems. EXPERT OPINIONS We discuss some current challenges of proteomics in iPS cell research and future directions, including the integration of proteomic and transcriptomic data for systems-level analysis.
Collapse
Affiliation(s)
- Vyshnavi Manda
- Department of Medicine, Division of Cardiology, University of Colorado School of Medicine, Aurora, Colorado, USA
- Consortium for Fibrosis Research and Translation, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Jay Pavelka
- Department of Medicine, Division of Cardiology, University of Colorado School of Medicine, Aurora, Colorado, USA
- Consortium for Fibrosis Research and Translation, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Edward Lau
- Department of Medicine, Division of Cardiology, University of Colorado School of Medicine, Aurora, Colorado, USA
- Consortium for Fibrosis Research and Translation, University of Colorado School of Medicine, Aurora, Colorado, USA
| |
Collapse
|
25
|
Xavier D, Lucas N, Williams SG, Koh JMS, Ashman K, Loudon C, Reddel R, Hains PG, Robinson PJ. Heat 'n Beat: A Universal High-Throughput End-to-End Proteomics Sample Processing Platform in under an Hour. Anal Chem 2024; 96:4093-4102. [PMID: 38427620 DOI: 10.1021/acs.analchem.3c04708] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/03/2024]
Abstract
Proteomic analysis by mass spectrometry of small (≤2 mg) solid tissue samples from diverse formats requires high throughput and comprehensive proteome coverage. We developed a nearly universal, rapid, and robust protocol for sample preparation, suitable for high-throughput projects that encompass most cell or tissue types. This end-to-end workflow extends from original sample to loading the mass spectrometer and is centered on a one-tube homogenization and digestion method called Heat 'n Beat (HnB). It is applicable to most tissues, regardless of how they were fixed or embedded. Sample preparation was divided into separate challenges. The initial sample washing and final peptide cleanup steps were adapted to three tissue sources: fresh frozen (FF), optimal cutting temperature (OCT) compound embedded (FF-OCT), and formalin-fixed paraffin embedded (FFPE). Third, for core processing, tissue disruption and lysis were decreased to a 7 min heat and homogenization treatment, and reduction, alkylation, and proteolysis were optimized into a single step. The refinements produced near doubled peptide yield when compared to our earlier method ABLE delivered a consistently high digestion efficiency of 85-90%, reported by ProteinPilot, and required only 38 min for core processing in a single tube, with the total processing time being 53-63 min. The robustness of HnB was demonstrated on six organ types, a cell line, and a cancer biopsy. Its suitability for high-throughput applications was demonstrated on a set of 1171 FF-OCT human cancer biopsies, which were processed for end-to-end completion in 92 h, producing highly consistent peptide yield and quality for over 3513 MS runs.
Collapse
Affiliation(s)
- Dylan Xavier
- ProCan, Faculty of Medicine and Health, The University of Sydney, Children's Medical Research Institute, Westmead, NSW 2145, Australia
| | - Natasha Lucas
- ProCan, Faculty of Medicine and Health, The University of Sydney, Children's Medical Research Institute, Westmead, NSW 2145, Australia
| | - Steven G Williams
- ProCan, Faculty of Medicine and Health, The University of Sydney, Children's Medical Research Institute, Westmead, NSW 2145, Australia
| | - Jennifer M S Koh
- ProCan, Faculty of Medicine and Health, The University of Sydney, Children's Medical Research Institute, Westmead, NSW 2145, Australia
| | - Keith Ashman
- ProCan, Faculty of Medicine and Health, The University of Sydney, Children's Medical Research Institute, Westmead, NSW 2145, Australia
| | - Clare Loudon
- ProCan, Faculty of Medicine and Health, The University of Sydney, Children's Medical Research Institute, Westmead, NSW 2145, Australia
| | - Roger Reddel
- ProCan, Faculty of Medicine and Health, The University of Sydney, Children's Medical Research Institute, Westmead, NSW 2145, Australia
| | - Peter G Hains
- ProCan, Faculty of Medicine and Health, The University of Sydney, Children's Medical Research Institute, Westmead, NSW 2145, Australia
| | - Phillip J Robinson
- ProCan, Faculty of Medicine and Health, The University of Sydney, Children's Medical Research Institute, Westmead, NSW 2145, Australia
| |
Collapse
|
26
|
Radke J, Meinhardt J, Aschman T, Chua RL, Farztdinov V, Lukassen S, Ten FW, Friebel E, Ishaque N, Franz J, Huhle VH, Mothes R, Peters K, Thomas C, Schneeberger S, Schumann E, Kawelke L, Jünger J, Horst V, Streit S, von Manitius R, Körtvélyessy P, Vielhaber S, Reinhold D, Hauser AE, Osterloh A, Enghard P, Ihlow J, Elezkurtaj S, Horst D, Kurth F, Müller MA, Gassen NC, Melchert J, Jechow K, Timmermann B, Fernandez-Zapata C, Böttcher C, Stenzel W, Krüger E, Landthaler M, Wyler E, Corman V, Stadelmann C, Ralser M, Eils R, Heppner FL, Mülleder M, Conrad C, Radbruch H. Proteomic and transcriptomic profiling of brainstem, cerebellum and olfactory tissues in early- and late-phase COVID-19. Nat Neurosci 2024; 27:409-420. [PMID: 38366144 DOI: 10.1038/s41593-024-01573-y] [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] [Received: 06/20/2023] [Accepted: 01/08/2024] [Indexed: 02/18/2024]
Abstract
Neurological symptoms, including cognitive impairment and fatigue, can occur in both the acute infection phase of coronavirus disease 2019 (COVID-19) and at later stages, yet the mechanisms that contribute to this remain unclear. Here we profiled single-nucleus transcriptomes and proteomes of brainstem tissue from deceased individuals at various stages of COVID-19. We detected an inflammatory type I interferon response in acute COVID-19 cases, which resolves in the late disease phase. Integrating single-nucleus RNA sequencing and spatial transcriptomics, we could localize two patterns of reaction to severe systemic inflammation, one neuronal with a direct focus on cranial nerve nuclei and a separate diffuse pattern affecting the whole brainstem. The latter reflects a bystander effect of the respiratory infection that spreads throughout the vascular unit and alters the transcriptional state of mainly oligodendrocytes, microglia and astrocytes, while alterations of the brainstem nuclei could reflect the connection of the immune system and the central nervous system via, for example, the vagus nerve. Our results indicate that even without persistence of severe acute respiratory syndrome coronavirus 2 in the central nervous system, local immune reactions are prevailing, potentially causing functional disturbances that contribute to neurological complications of COVID-19.
Collapse
Affiliation(s)
- Josefine Radke
- Institute of Pathology, Universitätsmedizin Greifswald, Greifswald, Germany.
- Department of Neuropathology, Charité - Universitätsmedizin Berlin, Berlin, Germany.
| | - Jenny Meinhardt
- Department of Neuropathology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Tom Aschman
- Department of Neuropathology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Robert Lorenz Chua
- Center of Digital Health, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Vadim Farztdinov
- Core Facility High Throughput Mass Spectrometry, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Sören Lukassen
- Center of Digital Health, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Foo Wei Ten
- Center of Digital Health, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Ekaterina Friebel
- Department of Neuropathology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Naveed Ishaque
- Center of Digital Health, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Jonas Franz
- Department of Neuropathology, University Medical Center Göttingen, Göttingen, Germany
| | - Valerie Helena Huhle
- Department of Neuropathology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Ronja Mothes
- Department of Neuropathology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Kristin Peters
- Institute of Pathology, Universitätsmedizin Greifswald, Greifswald, Germany
| | - Carolina Thomas
- Department of Neuropathology, University Medical Center Göttingen, Göttingen, Germany
| | - Shirin Schneeberger
- Department of Neuropathology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Elisa Schumann
- Department of Neuropathology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Leona Kawelke
- Department of Neuropathology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Julia Jünger
- Department of Neuropathology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Viktor Horst
- Department of Neuropathology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Simon Streit
- Department of Neuropathology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Regina von Manitius
- Department of Neuropathology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Péter Körtvélyessy
- Department of Neurology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Stefan Vielhaber
- Department of Neurology, Otto von Guerike University Magdeburg, Magdeburg, Germany
| | - Dirk Reinhold
- Institute of Molecular and Clinical Immunology, Otto von Guerike University Magdeburg, Magdeburg, Germany
| | - Anja E Hauser
- Department of Rheumatology and Clinical Immunology, Charité - Universitätsmedizin Berlin, Berlin, Germany
- Immune Dynamics, Deutsches Rheuma-Forschungszentrum, a Leibniz Institute, Berlin, Germany
| | - Anja Osterloh
- Department of Pathology, University Medical Center Ulm, Ulm, Germany
| | - Philipp Enghard
- Department of Nephrology and Medical Intensive Care, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Jana Ihlow
- Department of Pathology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Sefer Elezkurtaj
- Department of Pathology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - David Horst
- Department of Pathology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Florian Kurth
- Department of Infectious Diseases and Respiratory Medicine, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Marcel A Müller
- Institute of Virology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Nils C Gassen
- Department of Psychiatry and Psychotherapy, University Hospital Bonn, Bonn, Germany
| | - Julia Melchert
- Institute of Virology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Katharina Jechow
- Center of Digital Health, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany
| | | | - Camila Fernandez-Zapata
- Experimental and Clinical Research Center, a cooperation between the Max Delbrück Center for Molecular Medicine in the Helmholtz Association and Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Chotima Böttcher
- Experimental and Clinical Research Center, a cooperation between the Max Delbrück Center for Molecular Medicine in the Helmholtz Association and Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Werner Stenzel
- Department of Neuropathology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Elke Krüger
- Institute of Medical Biochemistry and Molecular Biology, Universitätsmedizin Greifswald, Greifswald, Germany
| | - Markus Landthaler
- Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
- Institut für Biologie, Humboldt Universität, Berlin, Germany
| | - Emanuel Wyler
- Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
| | - Victor Corman
- Department of Infectious Diseases and Respiratory Medicine, Charité - Universitätsmedizin Berlin, Berlin, Germany
- German Centre for Infection Research (DZIF), associated partner, Berlin, Germany
| | - Christine Stadelmann
- Department of Neuropathology, University Medical Center Göttingen, Göttingen, Germany
| | - Markus Ralser
- Core Facility High Throughput Mass Spectrometry, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Roland Eils
- Center of Digital Health, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Frank L Heppner
- Department of Neuropathology, Charité - Universitätsmedizin Berlin, Berlin, Germany
- German Center for Neurodegenerative Diseases (DZNE) Berlin, Berlin, Germany
- Cluster of Excellence NeuroCure, Berlin, Germany
- German Cancer Consortium (DKTK), Partner Site Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Michael Mülleder
- Core Facility High Throughput Mass Spectrometry, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Christian Conrad
- Center of Digital Health, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Helena Radbruch
- Department of Neuropathology, Charité - Universitätsmedizin Berlin, Berlin, Germany.
| |
Collapse
|
27
|
Burbano de Lara S, Kemmer S, Biermayer I, Feiler S, Vlasov A, D'Alessandro LA, Helm B, Mölders C, Dieter Y, Ghallab A, Hengstler JG, Körner C, Matz-Soja M, Götz C, Damm G, Hoffmann K, Seehofer D, Berg T, Schilling M, Timmer J, Klingmüller U. Basal MET phosphorylation is an indicator of hepatocyte dysregulation in liver disease. Mol Syst Biol 2024; 20:187-216. [PMID: 38216754 PMCID: PMC10912216 DOI: 10.1038/s44320-023-00007-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Revised: 12/06/2023] [Accepted: 12/08/2023] [Indexed: 01/14/2024] Open
Abstract
Chronic liver diseases are worldwide on the rise. Due to the rapidly increasing incidence, in particular in Western countries, metabolic dysfunction-associated steatotic liver disease (MASLD) is gaining importance as the disease can develop into hepatocellular carcinoma. Lipid accumulation in hepatocytes has been identified as the characteristic structural change in MASLD development, but molecular mechanisms responsible for disease progression remained unresolved. Here, we uncover in primary hepatocytes from a preclinical model fed with a Western diet (WD) an increased basal MET phosphorylation and a strong downregulation of the PI3K-AKT pathway. Dynamic pathway modeling of hepatocyte growth factor (HGF) signal transduction combined with global proteomics identifies that an elevated basal MET phosphorylation rate is the main driver of altered signaling leading to increased proliferation of WD-hepatocytes. Model-adaptation to patient-derived hepatocytes reveal patient-specific variability in basal MET phosphorylation, which correlates with patient outcome after liver surgery. Thus, dysregulated basal MET phosphorylation could be an indicator for the health status of the liver and thereby inform on the risk of a patient to suffer from liver failure after surgery.
Collapse
Affiliation(s)
- Sebastian Burbano de Lara
- Division Systems Biology of Signal Transduction, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Liver Systems Medicine against Cancer (LiSyM-Krebs), Heidelberg, Germany
| | - Svenja Kemmer
- Liver Systems Medicine against Cancer (LiSyM-Krebs), Heidelberg, Germany
- Institute of Physics, University of Freiburg, Freiburg, Germany
- FDM - Freiburg Center for Data Analysis and Modeling, University of Freiburg, Freiburg, Germany
| | - Ina Biermayer
- Division Systems Biology of Signal Transduction, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Liver Systems Medicine against Cancer (LiSyM-Krebs), Heidelberg, Germany
| | - Svenja Feiler
- Division Systems Biology of Signal Transduction, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Department of General, Visceral and Transplant Surgery, Heidelberg University, Heidelberg, Germany
| | - Artyom Vlasov
- Division Systems Biology of Signal Transduction, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Lorenza A D'Alessandro
- Division Systems Biology of Signal Transduction, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Barbara Helm
- Division Systems Biology of Signal Transduction, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Christina Mölders
- Division Systems Biology of Signal Transduction, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Liver Systems Medicine against Cancer (LiSyM-Krebs), Heidelberg, Germany
| | - Yannik Dieter
- Division Systems Biology of Signal Transduction, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Ahmed Ghallab
- Systems Toxicology, Leibniz Research Center for Working Environment and Human Factors, Technical University Dortmund, Dortmund, Germany
- Department of Forensic Medicine and Toxicology, Faculty of Veterinary Medicine, South Valley University, Qena, 83523, Egypt
| | - Jan G Hengstler
- Liver Systems Medicine against Cancer (LiSyM-Krebs), Heidelberg, Germany
- Systems Toxicology, Leibniz Research Center for Working Environment and Human Factors, Technical University Dortmund, Dortmund, Germany
| | - Christiane Körner
- Liver Systems Medicine against Cancer (LiSyM-Krebs), Heidelberg, Germany
- Division of Hepatology, Clinic of Oncology, Gastroenterology, Hepatology, and Pneumology, University Hospital Leipzig, 04103, Leipzig, Germany
| | - Madlen Matz-Soja
- Liver Systems Medicine against Cancer (LiSyM-Krebs), Heidelberg, Germany
- Division of Hepatology, Clinic of Oncology, Gastroenterology, Hepatology, and Pneumology, University Hospital Leipzig, 04103, Leipzig, Germany
| | - Christina Götz
- Liver Systems Medicine against Cancer (LiSyM-Krebs), Heidelberg, Germany
- Department of Hepatobiliary Surgery and Visceral Transplantation, University Hospital Leipzig, Leipzig University, 04103, Leipzig, Germany
| | - Georg Damm
- Liver Systems Medicine against Cancer (LiSyM-Krebs), Heidelberg, Germany
- Department of Hepatobiliary Surgery and Visceral Transplantation, University Hospital Leipzig, Leipzig University, 04103, Leipzig, Germany
| | - Katrin Hoffmann
- Liver Systems Medicine against Cancer (LiSyM-Krebs), Heidelberg, Germany
- Department of General, Visceral and Transplant Surgery, Heidelberg University, Heidelberg, Germany
| | - Daniel Seehofer
- Liver Systems Medicine against Cancer (LiSyM-Krebs), Heidelberg, Germany
- Department of Hepatobiliary Surgery and Visceral Transplantation, University Hospital Leipzig, Leipzig University, 04103, Leipzig, Germany
| | - Thomas Berg
- Liver Systems Medicine against Cancer (LiSyM-Krebs), Heidelberg, Germany
- Division of Hepatology, Clinic of Oncology, Gastroenterology, Hepatology, and Pneumology, University Hospital Leipzig, 04103, Leipzig, Germany
| | - Marcel Schilling
- Division Systems Biology of Signal Transduction, German Cancer Research Center (DKFZ), Heidelberg, Germany.
| | - Jens Timmer
- Liver Systems Medicine against Cancer (LiSyM-Krebs), Heidelberg, Germany.
- Institute of Physics, University of Freiburg, Freiburg, Germany.
- FDM - Freiburg Center for Data Analysis and Modeling, University of Freiburg, Freiburg, Germany.
- Signalling Research Centres BIOSS and CIBSS, University of Freiburg, Freiburg, Germany.
| | - Ursula Klingmüller
- Division Systems Biology of Signal Transduction, German Cancer Research Center (DKFZ), Heidelberg, Germany.
- Liver Systems Medicine against Cancer (LiSyM-Krebs), Heidelberg, Germany.
| |
Collapse
|
28
|
Wu Q, Zheng J, Sui X, Fu C, Cui X, Liao B, Ji H, Luo Y, He A, Lu X, Xue X, Tan CSH, Tian R. High-throughput drug target discovery using a fully automated proteomics sample preparation platform. Chem Sci 2024; 15:2833-2847. [PMID: 38404368 PMCID: PMC10882491 DOI: 10.1039/d3sc05937e] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Accepted: 12/19/2023] [Indexed: 02/27/2024] Open
Abstract
Drug development is plagued by inefficiency and high costs due to issues such as inadequate drug efficacy and unexpected toxicity. Mass spectrometry (MS)-based proteomics, particularly isobaric quantitative proteomics, offers a solution to unveil resistance mechanisms and unforeseen side effects related to off-targeting pathways. Thermal proteome profiling (TPP) has gained popularity for drug target identification at the proteome scale. However, it involves experiments with multiple temperature points, resulting in numerous samples and considerable variability in large-scale TPP analysis. We propose a high-throughput drug target discovery workflow that integrates single-temperature TPP, a fully automated proteomics sample preparation platform (autoSISPROT), and data independent acquisition (DIA) quantification. The autoSISPROT platform enables the simultaneous processing of 96 samples in less than 2.5 hours, achieving protein digestion, desalting, and optional TMT labeling (requires an additional 1 hour) with 96-channel all-in-tip operations. The results demonstrated excellent sample preparation performance with >94% digestion efficiency, >98% TMT labeling efficiency, and >0.9 intra- and inter-batch Pearson correlation coefficients. By automatically processing 87 samples, we identified both known targets and potential off-targets of 20 kinase inhibitors, affording over a 10-fold improvement in throughput compared to classical TPP. This fully automated workflow offers a high-throughput solution for proteomics sample preparation and drug target/off-target identification.
Collapse
Affiliation(s)
- Qiong Wu
- Department of Chemistry, School of Science, Southern University of Science and Technology Shenzhen 518055 China
| | - Jiangnan Zheng
- Department of Chemistry, School of Science, Southern University of Science and Technology Shenzhen 518055 China
- Southern University of Science and Technology, Guangming Advanced Research Institute Shenzhen 518055 China
| | - Xintong Sui
- Department of Chemistry, School of Science, Southern University of Science and Technology Shenzhen 518055 China
| | - Changying Fu
- Department of Chemistry, School of Science, Southern University of Science and Technology Shenzhen 518055 China
| | - Xiaozhen Cui
- Department of Chemistry, School of Science, Southern University of Science and Technology Shenzhen 518055 China
| | - Bin Liao
- Department of Chemistry, School of Science, Southern University of Science and Technology Shenzhen 518055 China
| | - Hongchao Ji
- Department of Chemistry, School of Science, Southern University of Science and Technology Shenzhen 518055 China
| | - Yang Luo
- Department of Chemistry, School of Science, Southern University of Science and Technology Shenzhen 518055 China
| | - An He
- Department of Chemistry, School of Science, Southern University of Science and Technology Shenzhen 518055 China
| | - Xue Lu
- Department of Chemistry, School of Science, Southern University of Science and Technology Shenzhen 518055 China
| | - Xinyue Xue
- Department of Chemistry, School of Science, Southern University of Science and Technology Shenzhen 518055 China
| | - Chris Soon Heng Tan
- Department of Chemistry, School of Science, Southern University of Science and Technology Shenzhen 518055 China
- Research Center for Chemical Biology and Omics Analysis, School of Science, Southern University of Science and Technology 1088 Xueyuan Road Shenzhen 518055 China
- Southern University of Science and Technology, Guangming Advanced Research Institute Shenzhen 518055 China
| | - Ruijun Tian
- Department of Chemistry, School of Science, Southern University of Science and Technology Shenzhen 518055 China
- Research Center for Chemical Biology and Omics Analysis, School of Science, Southern University of Science and Technology 1088 Xueyuan Road Shenzhen 518055 China
- Southern University of Science and Technology, Guangming Advanced Research Institute Shenzhen 518055 China
| |
Collapse
|
29
|
Jiang Y, Meyer JG. 1.4 min Plasma Proteome Profiling via Nanoparticle Protein Corona and Direct Infusion Mass Spectrometry. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.02.06.579213. [PMID: 38370692 PMCID: PMC10871276 DOI: 10.1101/2024.02.06.579213] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/20/2024]
Abstract
Non-invasive detection of protein biomarkers in plasma is crucial for clinical purposes. Liquid chromatography mass spectrometry (LC-MS) is the gold standard technique for plasma proteome analysis, but despite recent advances, it remains limited by throughput, cost, and coverage. Here, we introduce a new hybrid method, which integrates direct infusion shotgun proteome analysis (DISPA) with nanoparticle (NP) protein coronas enrichment for high throughput and efficient plasma proteomic profiling. We realized over 280 protein identifications in 1.4 minutes collection time, which enables a potential throughput of approximately 1,000 samples daily. The identified proteins are involved in valuable pathways and 44 of the proteins are FDA approved biomarkers. The robustness and quantitative accuracy of this method were evaluated across multiple NPs and concentrations with a mean coefficient of variation at 17%. Moreover, different protein corona profiles were observed among various nanoparticles based on their distinct surface modifications, and all NP protein profiles exhibited deeper coverage and better quantification than neat plasma. Our streamlined workflow merges coverage and throughput with precise quantification, leveraging both DISPA and NP protein corona enrichments. This underscores the significant potential of DISPA when paired with NP sample preparation techniques for plasma proteome studies.
Collapse
Affiliation(s)
- Yuming Jiang
- Department of Computational Biomedicine, Cedars Sinai Medical Center, Los Angeles, CA 90048, USA
- Advanced Clinical Biosystems Research Institute, Cedars Sinai Medical Center, Los Angeles, CA 90048, USA
- Smidt Heart Institute, Cedars Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Jesse G. Meyer
- Department of Computational Biomedicine, Cedars Sinai Medical Center, Los Angeles, CA 90048, USA
- Advanced Clinical Biosystems Research Institute, Cedars Sinai Medical Center, Los Angeles, CA 90048, USA
- Smidt Heart Institute, Cedars Sinai Medical Center, Los Angeles, CA 90048, USA
| |
Collapse
|
30
|
Dieters-Castator DZ, Manzanillo P, Yang HY, Modak RV, Rardin MJ, Gibson BW. Magnetic Bead-Based Workflow for Sensitive and Streamlined Cell Surface Proteomics. J Proteome Res 2024; 23:618-632. [PMID: 38226771 DOI: 10.1021/acs.jproteome.3c00432] [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] [Indexed: 01/17/2024]
Abstract
Cell surface proteins represent an important class of molecules for therapeutic targeting and cellular phenotyping. However, their enrichment and detection via mass spectrometry-based proteomics remains challenging due to low abundance, post-translational modifications, hydrophobic regions, and processing requirements. To improve their identification, we optimized a Cell-Surface Capture (CSC) workflow that incorporates magnetic bead-based processing. Using this approach, we evaluated labeling conditions (biotin tags and catalysts), enrichment specificity (streptavidin beads), missed cleavages (lysis buffers), nonenzymatic deamidation (digestion and deglycosylation buffers), and data acquisition methods (DDA, DIA, and TMT). Our findings support the use of alkoxyamine-PEG4-biotin plus 5-methoxy-anthranilic acid, SDS/urea-based lysis buffers, single-pot solid-phased-enhanced sample-preparation (SP3), and streptavidin magnetic beads for maximal surfaceome coverage. Notably, with semiautomated processing, sample handling was simplified and between ∼600 and 900 cell surface N-glycoproteins were identified from only 25-200 μg of HeLa protein. CSC also revealed significant differences between in vitro monolayer cultures and in vivo tumor xenografts of murine CT26 colon adenocarcinoma samples that may aid in target identification for drug development. Overall, the improved efficiency of the magnetic-based CSC workflow identified both previously reported and novel N-glycosites with less material and high reproducibility that should help advance the field of surfaceomics by providing insight in cellular phenotypes not previously documented.
Collapse
Affiliation(s)
| | - Paolo Manzanillo
- Inflammation, Amgen Research, South San Francisco, California 94080, United States
| | - Han-Yin Yang
- Discovery Proteomics, Amgen Research, South San Francisco, California 94080, United States
| | - Rucha V Modak
- Inflammation, Amgen Research, South San Francisco, California 94080, United States
| | - Matthew J Rardin
- Discovery Proteomics, Amgen Research, South San Francisco, California 94080, United States
| | - Bradford W Gibson
- Discovery Proteomics, Amgen Research, South San Francisco, California 94080, United States
| |
Collapse
|
31
|
Ros-Carrero C, Spiridon-Bodi M, Igual JC, Gomar-Alba M. The CDK Pho85 inhibits Whi7 Start repressor to promote cell cycle entry in budding yeast. EMBO Rep 2024; 25:745-769. [PMID: 38233717 PMCID: PMC10897450 DOI: 10.1038/s44319-023-00049-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Revised: 12/15/2023] [Accepted: 12/19/2023] [Indexed: 01/19/2024] Open
Abstract
Pho85 is a multifunctional CDK that signals to the cell when environmental conditions are favorable. It has been connected to cell cycle control, mainly in Start where it promotes the G1/S transition. Here we describe that the Start repressor Whi7 is a key target of Pho85 in the regulation of cell cycle entry. The phosphorylation of Whi7 by Pho85 inhibits the repressor and explains most of the contribution of the CDK in the activation of Start. Mechanistically, Pho85 downregulates Whi7 protein levels through the control of Whi7 protein stability and WHI7 gene transcription. Whi7 phosphorylation by Pho85 also restrains the intrinsic ability of Whi7 to associate with promoters. Furthermore, although Whi5 is the main Start repressor in normal cycling cells, in the absence of Pho85, Whi7 becomes the major repressor leading to G1 arrest. Overall, our results reveal a novel mechanism by which Pho85 promotes Start through the regulation of the Whi7 repressor at multiple levels, which may confer to Whi7 a functional specialization to connect the response to adverse conditions with the cell cycle control.
Collapse
Affiliation(s)
- Cristina Ros-Carrero
- Institut de Biotecnologia i Biomedicina (BIOTECMED) and Departament de Bioquímica i Biologia Molecular, Universitat de València, 46100, Burjassot, Spain
| | - Mihai Spiridon-Bodi
- Institut de Biotecnologia i Biomedicina (BIOTECMED) and Departament de Bioquímica i Biologia Molecular, Universitat de València, 46100, Burjassot, Spain
| | - J Carlos Igual
- Institut de Biotecnologia i Biomedicina (BIOTECMED) and Departament de Bioquímica i Biologia Molecular, Universitat de València, 46100, Burjassot, Spain.
| | - Mercè Gomar-Alba
- Institut de Biotecnologia i Biomedicina (BIOTECMED) and Departament de Bioquímica i Biologia Molecular, Universitat de València, 46100, Burjassot, Spain.
| |
Collapse
|
32
|
Szyrwiel L, Gille C, Mülleder M, Demichev V, Ralser M. Fast proteomics with dia-PASEF and analytical flow-rate chromatography. Proteomics 2024; 24:e2300100. [PMID: 37287406 DOI: 10.1002/pmic.202300100] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Revised: 05/22/2023] [Accepted: 05/22/2023] [Indexed: 06/09/2023]
Abstract
Increased throughput in proteomic experiments can improve accessibility of proteomic platforms, reduce costs, and facilitate new approaches in systems biology and biomedical research. Here we propose combination of analytical flow rate chromatography with ion mobility separation of peptide ions, data-independent acquisition, and data analysis with the DIA-NN software suite, to achieve high-quality proteomic experiments from limited sample amounts, at a throughput of up to 400 samples per day. For instance, when benchmarking our workflow using a 500-μL/min flow rate and 3-min chromatographic gradients, we report the quantification of 5211 proteins from 2 μg of a mammalian cell-line standard at high quantitative accuracy and precision. We further used this platform to analyze blood plasma samples from a cohort of COVID-19 inpatients, using a 3-min chromatographic gradient and alternating column regeneration on a dual pump system. The method delivered a comprehensive view of the COVID-19 plasma proteome, allowing classification of the patients according to disease severity and revealing plasma biomarker candidates.
Collapse
Affiliation(s)
- Lukasz Szyrwiel
- Department of Biochemistry, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Christoph Gille
- Department of Biochemistry, Charité - Universitätsmedizin Berlin, Berlin, Germany
- Core Facility High-Throughput Mass Spectrometry, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Michael Mülleder
- Core Facility High-Throughput Mass Spectrometry, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Vadim Demichev
- Department of Biochemistry, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Markus Ralser
- Department of Biochemistry, Charité - Universitätsmedizin Berlin, Berlin, Germany
- The Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK
- Max Planck Institute for Molecular Genetics, Berlin, Germany
| |
Collapse
|
33
|
Borteçen T, Müller T, Krijgsveld J. An integrated workflow for quantitative analysis of the newly synthesized proteome. Nat Commun 2023; 14:8237. [PMID: 38086798 PMCID: PMC10716174 DOI: 10.1038/s41467-023-43919-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2023] [Accepted: 11/23/2023] [Indexed: 12/18/2023] Open
Abstract
The analysis of proteins that are newly synthesized upon a cellular perturbation can provide detailed insight into the proteomic response that is elicited by specific cues. This can be investigated by pulse-labeling of cells with clickable and stable-isotope-coded amino acids for the enrichment and mass spectrometric characterization of newly synthesized proteins (NSPs), however convoluted protocols prohibit their routine application. Here we report the optimization of multiple steps in sample preparation, mass spectrometry and data analysis, and we integrate them into a semi-automated workflow for the quantitative analysis of the newly synthesized proteome (QuaNPA). Reduced input requirements and data-independent acquisition (DIA) enable the analysis of triple-SILAC-labeled NSP samples, with enhanced throughput while featuring high quantitative accuracy. We apply QuaNPA to investigate the time-resolved cellular response to interferon-gamma (IFNg), observing rapid induction of targets 2 h after IFNg treatment. QuaNPA provides a powerful approach for large-scale investigation of NSPs to gain insight into complex cellular processes.
Collapse
Affiliation(s)
- Toman Borteçen
- German Cancer Research Center (DKFZ), Im Neuenheimer Feld 581, Heidelberg, Germany
- Heidelberg University, Faculty of Biosciences, Im Neuenheimer Feld 581, Heidelberg, Germany
| | - Torsten Müller
- Heidelberg University, Medical Faculty, Im Neuenheimer Feld 581, Heidelberg, Germany
| | - Jeroen Krijgsveld
- German Cancer Research Center (DKFZ), Im Neuenheimer Feld 581, Heidelberg, Germany.
- Heidelberg University, Medical Faculty, Im Neuenheimer Feld 581, Heidelberg, Germany.
| |
Collapse
|
34
|
Tüshaus J, Sakhteman A, Lechner S, The M, Mucha E, Krisp C, Schlegel J, Delbridge C, Kuster B. A region-resolved proteomic map of the human brain enabled by high-throughput proteomics. EMBO J 2023; 42:e114665. [PMID: 37916885 PMCID: PMC10690467 DOI: 10.15252/embj.2023114665] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2023] [Revised: 10/16/2023] [Accepted: 10/17/2023] [Indexed: 11/03/2023] Open
Abstract
Substantial efforts are underway to deepen our understanding of human brain morphology, structure, and function using high-resolution imaging as well as high-content molecular profiling technologies. The current work adds to these approaches by providing a comprehensive and quantitative protein expression map of 13 anatomically distinct brain regions covering more than 11,000 proteins. This was enabled by the optimization, characterization, and implementation of a high-sensitivity and high-throughput microflow liquid chromatography timsTOF tandem mass spectrometry system (LC-MS/MS) capable of analyzing more than 2,000 consecutive samples prepared from formalin-fixed paraffin embedded (FFPE) material. Analysis of this proteomic resource highlighted brain region-enriched protein expression patterns and functional protein classes, protein localization differences between brain regions and individual markers for specific areas. To facilitate access to and ease further mining of the data by the scientific community, all data can be explored online in a purpose-built R Shiny app (https://brain-region-atlas.proteomics.ls.tum.de).
Collapse
Affiliation(s)
- Johanna Tüshaus
- Proteomics and Bioanalytics, Department of Molecular Life Sciences, School of Life SciencesTechnical University of MunichMunichGermany
| | - Amirhossein Sakhteman
- Proteomics and Bioanalytics, Department of Molecular Life Sciences, School of Life SciencesTechnical University of MunichMunichGermany
| | - Severin Lechner
- Proteomics and Bioanalytics, Department of Molecular Life Sciences, School of Life SciencesTechnical University of MunichMunichGermany
| | - Matthew The
- Proteomics and Bioanalytics, Department of Molecular Life Sciences, School of Life SciencesTechnical University of MunichMunichGermany
| | - Eike Mucha
- Bruker Daltonics GmbH & Co. KGBremenGermany
| | | | - Jürgen Schlegel
- Department of Neuropathology, Klinikum Rechts der ISAR, School of MedicineTechnical University MunichMunichGermany
| | - Claire Delbridge
- Department of Neuropathology, Klinikum Rechts der ISAR, School of MedicineTechnical University MunichMunichGermany
| | - Bernhard Kuster
- Proteomics and Bioanalytics, Department of Molecular Life Sciences, School of Life SciencesTechnical University of MunichMunichGermany
- German Cancer Consortium (DKTK), Munich SiteHeidelbergGermany
| |
Collapse
|
35
|
Lin Z, Gongora J, Liu X, Xie Y, Zhao C, Lv D, Garcia BA. Automation to Enable High-Throughput Chemical Proteomics. J Proteome Res 2023; 22:3676-3682. [PMID: 37917986 PMCID: PMC11037874 DOI: 10.1021/acs.jproteome.3c00467] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2023]
Abstract
Chemical proteomics utilizes small-molecule probes to covalently engage with their interacting proteins. Since chemical probes are tagged to the active or binding sites of functional proteins, chemical proteomics can be used to profile protein targets, reveal precise binding sites/mechanisms, and screen inhibitors competing with probes in a biological context. These capabilities of chemical proteomics have great potential to enable discoveries of both drug targets and lead compounds. However, chemical proteomics is limited by the time-consuming bottleneck of sample preparations, which are processed manually. With the advancement of robotics and artificial intelligence, it is now possible to automate workflows to make chemical proteomics sample preparation a high-throughput process. An automated robotic system represents a major technological opportunity to speed up advances in proteomics, open new frontiers in drug target discovery, and broaden the future of chemical biology.
Collapse
Affiliation(s)
- Zongtao Lin
- Department of Biochemistry and Molecular Biophysics, Washington University in St. Louis, St. Louis, MO 63110
- Department of Chemistry, University of Pennsylvania, Philadelphia, PA 19104
| | - Joanna Gongora
- Department of Biochemistry and Molecular Biophysics, Washington University in St. Louis, St. Louis, MO 63110
| | - Xingyu Liu
- Department of Biochemistry and Molecular Biophysics, Washington University in St. Louis, St. Louis, MO 63110
| | - Yixuan Xie
- Department of Biochemistry and Molecular Biophysics, Washington University in St. Louis, St. Louis, MO 63110
| | - Chenfeng Zhao
- McKelvey School of Engineering, Washington University in St. Louis, St. Louis, MO 63110
| | - Dongwen Lv
- Department of Biochemistry and Structural Biology and Center for Innovative Drug Discovery, School of Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX 78229
| | - Benjamin A. Garcia
- Department of Biochemistry and Molecular Biophysics, Washington University in St. Louis, St. Louis, MO 63110
| |
Collapse
|
36
|
Zanvit P, van Dyk D, Fazenbaker C, McGlinchey K, Luo W, Pezold JM, Meekin J, Chang CY, Carrasco RA, Breen S, Cheung CSF, Endlich-Frazier A, Clark B, Chu NJ, Vantellini A, Martin PL, Hoover CE, Riley K, Sweet SM, Chain D, Kim YJ, Tu E, Harder N, Phipps S, Damschroder M, Gilbreth RN, Cobbold M, Moody G, Bosco EE. Antitumor activity of AZD0754, a dnTGFβRII-armored, STEAP2-targeted CAR-T cell therapy, in prostate cancer. J Clin Invest 2023; 133:e169655. [PMID: 37966111 PMCID: PMC10645390 DOI: 10.1172/jci169655] [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: 03/09/2023] [Accepted: 09/21/2023] [Indexed: 11/16/2023] Open
Abstract
Prostate cancer is generally considered an immunologically "cold" tumor type that is insensitive to immunotherapy. Targeting surface antigens on tumors through cellular therapy can induce a potent antitumor immune response to "heat up" the tumor microenvironment. However, many antigens expressed on prostate tumor cells are also found on normal tissues, potentially causing on-target, off-tumor toxicities and a suboptimal therapeutic index. Our studies revealed that six-transmembrane epithelial antigen of prostate-2 (STEAP2) was a prevalent prostate cancer antigen that displayed high, homogeneous cell surface expression across all stages of disease with limited distal normal tissue expression, making it ideal for therapeutic targeting. A multifaceted lead generation approach enabled development of an armored STEAP2 chimeric antigen receptor T cell (CAR-T) therapeutic candidate, AZD0754. This CAR-T product was armored with a dominant-negative TGF-β type II receptor, bolstering its activity in the TGF-β-rich immunosuppressive environment of prostate cancer. AZD0754 demonstrated potent and specific cytotoxicity against antigen-expressing cells in vitro despite TGF-β-rich conditions. Further, AZD0754 enforced robust, dose-dependent in vivo efficacy in STEAP2-expressing cancer cell line-derived and patient-derived xenograft mouse models, and exhibited encouraging preclinical safety. Together, these data underscore the therapeutic tractability of STEAP2 in prostate cancer as well as build confidence in the specificity, potency, and tolerability of this potentially first-in-class CAR-T therapy.
Collapse
Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Philip L. Martin
- Oncology Translational Medicine, Oncology R&D, AstraZeneca, Gaithersburg, Maryland, USA
| | - Clare E. Hoover
- Clinical Pathology Patient Safety, BioPharmaceuticals R&D, AstraZeneca, Cambridge, United Kingdom
| | - Kenesha Riley
- Clinical Pathology Patient Safety, BioPharmaceuticals R&D, AstraZeneca, Cambridge, United Kingdom
| | - Steve M. Sweet
- Oncology Translational Medicine, Oncology R&D, AstraZeneca, Gaithersburg, Maryland, USA
| | - David Chain
- Oncology Translational Medicine, Oncology R&D, AstraZeneca, Gaithersburg, Maryland, USA
| | - Yeoun Jin Kim
- Oncology Translational Medicine, Oncology R&D, AstraZeneca, Gaithersburg, Maryland, USA
| | - Eric Tu
- Oncology Translational Medicine, Oncology R&D, AstraZeneca, Gaithersburg, Maryland, USA
| | | | | | | | | | | | | | | |
Collapse
|
37
|
Cagnetta R, Flanagan JG, Sonenberg N. Control of Selective mRNA Translation in Neuronal Subcellular Compartments in Health and Disease. J Neurosci 2023; 43:7247-7263. [PMID: 37914402 PMCID: PMC10621772 DOI: 10.1523/jneurosci.2240-22.2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Revised: 04/28/2023] [Accepted: 05/02/2023] [Indexed: 11/03/2023] Open
Abstract
In multiple cell types, mRNAs are transported to subcellular compartments, where local translation enables rapid, spatially localized, and specific responses to external stimuli. Mounting evidence has uncovered important roles played by local translation in vivo in axon survival, axon regeneration, and neural wiring, as well as strong links between dysregulation of local translation and neurologic disorders. Omic studies have revealed that >1000 mRNAs are present and can be selectively locally translated in the presynaptic and postsynaptic compartments from development to adulthood in vivo A large proportion of the locally translated mRNAs is specifically upregulated or downregulated in response to distinct extracellular signals. Given that the local translatome is large, selectively translated, and cue-specifically remodeled, a fundamental question concerns how selective translation is achieved locally. Here, we review the emerging regulatory mechanisms of local selective translation in neuronal subcellular compartments, their mRNA targets, and their orchestration. We discuss mechanisms of local selective translation that remain unexplored. Finally, we describe clinical implications and potential therapeutic strategies in light of the latest advances in gene therapy.
Collapse
Affiliation(s)
- Roberta Cagnetta
- Department of Biochemistry and Goodman Cancer Institute, McGill University, Montreal, Quebec H3A 1A3, Canada
| | - John G Flanagan
- Department of Cell Biology and Program in Neuroscience, Harvard Medical School, Boston, Massachusetts 02115
| | - Nahum Sonenberg
- Department of Biochemistry and Goodman Cancer Institute, McGill University, Montreal, Quebec H3A 1A3, Canada
| |
Collapse
|
38
|
Montero-Calle A, Garranzo-Asensio M, Rejas-González R, Feliu J, Mendiola M, Peláez-García A, Barderas R. Benefits of FAIMS to Improve the Proteome Coverage of Deteriorated and/or Cross-Linked TMT 10-Plex FFPE Tissue and Plasma-Derived Exosomes Samples. Proteomes 2023; 11:35. [PMID: 37987315 PMCID: PMC10661291 DOI: 10.3390/proteomes11040035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Revised: 09/20/2023] [Accepted: 10/20/2023] [Indexed: 11/22/2023] Open
Abstract
The proteome characterization of complex, deteriorated, or cross-linked protein mixtures as paired clinical FFPE or exosome samples isolated from low plasma volumes (250 µL) might be a challenge. In this work, we aimed at investigating the benefits of FAIMS technology coupled to the Orbitrap Exploris 480 mass spectrometer for the TMT quantitative proteomics analyses of these complex samples in comparison to the analysis of protein extracts from cells, frozen tissue, and exosomes isolated from large volume plasma samples (3 mL). TMT experiments were performed using a two-hour gradient LC-MS/MS with or without FAIMS and two compensation voltages (CV = -45 and CV = -60). In the TMT experiments of cells, frozen tissue, or exosomes isolated from large plasma volumes (3 mL) with FAIMS, a limited increase in the number of identified and quantified proteins accompanied by a decrease in the number of peptides identified and quantified was observed. However, we demonstrated here a noticeable improvement (>100%) in the number of peptide and protein identifications and quantifications for the plasma exosomes isolated from low plasma volumes (250 µL) and FFPE tissue samples in TMT experiments with FAIMS in comparison to the LC-MS/MS analysis without FAIMS. Our results highlight the potential of mass spectrometry analyses with FAIMS to increase the depth into the proteome of complex samples derived from deteriorated, cross-linked samples and/or those where the material was scarce, such as FFPE and plasma-derived exosomes from low plasma volumes (250 µL), which might aid in the characterization of their proteome and proteoforms and in the identification of dysregulated proteins that could be used as biomarkers.
Collapse
Affiliation(s)
- Ana Montero-Calle
- Chronic Disease Programme (UFIEC), Instituto de Salud Carlos III, 28220 Majadahonda, Spain; (M.G.-A.); (R.R.-G.)
| | - María Garranzo-Asensio
- Chronic Disease Programme (UFIEC), Instituto de Salud Carlos III, 28220 Majadahonda, Spain; (M.G.-A.); (R.R.-G.)
| | - Raquel Rejas-González
- Chronic Disease Programme (UFIEC), Instituto de Salud Carlos III, 28220 Majadahonda, Spain; (M.G.-A.); (R.R.-G.)
| | - Jaime Feliu
- Translational Oncology Group, La Paz University Hospital (IdiPAZ), 28046 Madrid, Spain;
- Center for Biomedical Research in the Cancer Network (CIBERONC), Instituto de Salud Carlos III, 28046 Madrid, Spain;
| | - Marta Mendiola
- Center for Biomedical Research in the Cancer Network (CIBERONC), Instituto de Salud Carlos III, 28046 Madrid, Spain;
- Molecular Pathology and Therapeutic Targets Group, La Paz University Hospital (IdiPAZ), 28046 Madrid, Spain;
| | - Alberto Peláez-García
- Molecular Pathology and Therapeutic Targets Group, La Paz University Hospital (IdiPAZ), 28046 Madrid, Spain;
| | - Rodrigo Barderas
- Chronic Disease Programme (UFIEC), Instituto de Salud Carlos III, 28220 Majadahonda, Spain; (M.G.-A.); (R.R.-G.)
| |
Collapse
|
39
|
Reilly L, Lara E, Ramos D, Li Z, Pantazis CB, Stadler J, Santiana M, Roberts J, Faghri F, Hao Y, Nalls MA, Narayan P, Liu Y, Singleton AB, Cookson MR, Ward ME, Qi YA. A fully automated FAIMS-DIA mass spectrometry-based proteomic pipeline. CELL REPORTS METHODS 2023; 3:100593. [PMID: 37729920 PMCID: PMC10626189 DOI: 10.1016/j.crmeth.2023.100593] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Revised: 06/30/2023] [Accepted: 08/24/2023] [Indexed: 09/22/2023]
Abstract
Here, we present a standardized, "off-the-shelf" proteomics pipeline working in a single 96-well plate to achieve deep coverage of cellular proteomes with high throughput and scalability. This integrated pipeline streamlines a fully automated sample preparation platform, a data-independent acquisition (DIA) coupled with high-field asymmetric waveform ion mobility spectrometer (FAIMS) interface, and an optimized library-free DIA database search strategy. Our systematic evaluation of FAIMS-DIA showing single compensation voltage (CV) at -35 V not only yields the deepest proteome coverage but also best correlates with DIA without FAIMS. Our in-depth comparison of direct-DIA database search engines shows that Spectronaut outperforms others, providing the highest quantifiable proteins. Next, we apply three common DIA strategies in characterizing human induced pluripotent stem cell (iPSC)-derived neurons and show single-shot mass spectrometry (MS) using single-CV (-35 V)-FAIMS-DIA results in >9,000 quantifiable proteins with <10% missing values, as well as superior reproducibility and accuracy compared with other existing DIA methods.
Collapse
Affiliation(s)
- Luke Reilly
- Center for Alzheimer's and Related Dementias (CARD), National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Erika Lara
- Center for Alzheimer's and Related Dementias (CARD), National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Daniel Ramos
- Center for Alzheimer's and Related Dementias (CARD), National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Ziyi Li
- Center for Alzheimer's and Related Dementias (CARD), National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA; Data Tecnica International, LLC, Glen Echo, MD, USA
| | - Caroline B Pantazis
- Center for Alzheimer's and Related Dementias (CARD), National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Julia Stadler
- Center for Alzheimer's and Related Dementias (CARD), National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Marianita Santiana
- Center for Alzheimer's and Related Dementias (CARD), National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Jessica Roberts
- Center for Alzheimer's and Related Dementias (CARD), National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Faraz Faghri
- Center for Alzheimer's and Related Dementias (CARD), National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA; Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA; Data Tecnica International, LLC, Glen Echo, MD, USA
| | - Ying Hao
- Center for Alzheimer's and Related Dementias (CARD), National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Mike A Nalls
- Center for Alzheimer's and Related Dementias (CARD), National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA; Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA; Data Tecnica International, LLC, Glen Echo, MD, USA
| | - Priyanka Narayan
- Center for Alzheimer's and Related Dementias (CARD), National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA; Genetics and Biochemistry Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20814, USA
| | - Yansheng Liu
- Department of Pharmacology, Yale University School of Medicine, New Haven, CT 06510, USA
| | - Andrew B Singleton
- Center for Alzheimer's and Related Dementias (CARD), National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA; Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
| | - Mark R Cookson
- Center for Alzheimer's and Related Dementias (CARD), National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA; Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
| | - Michael E Ward
- Center for Alzheimer's and Related Dementias (CARD), National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA; National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Yue A Qi
- Center for Alzheimer's and Related Dementias (CARD), National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA.
| |
Collapse
|
40
|
Bennike TB. Advances in proteomics: characterization of the innate immune system after birth and during inflammation. Front Immunol 2023; 14:1254948. [PMID: 37868984 PMCID: PMC10587584 DOI: 10.3389/fimmu.2023.1254948] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Accepted: 09/26/2023] [Indexed: 10/24/2023] Open
Abstract
Proteomics is the characterization of the protein composition, the proteome, of a biological sample. It involves the large-scale identification and quantification of proteins, peptides, and post-translational modifications. This review focuses on recent developments in mass spectrometry-based proteomics and provides an overview of available methods for sample preparation to study the innate immune system. Recent advancements in the proteomics workflows, including sample preparation, have significantly improved the sensitivity and proteome coverage of biological samples including the technically difficult blood plasma. Proteomics is often applied in immunology and has been used to characterize the levels of innate immune system components after perturbations such as birth or during chronic inflammatory diseases like rheumatoid arthritis (RA) and inflammatory bowel disease (IBD). In cancers, the tumor microenvironment may generate chronic inflammation and release cytokines to the circulation. In these situations, the innate immune system undergoes profound and long-lasting changes, the large-scale characterization of which may increase our biological understanding and help identify components with translational potential for guiding diagnosis and treatment decisions. With the ongoing technical development, proteomics will likely continue to provide increasing insights into complex biological processes and their implications for health and disease. Integrating proteomics with other omics data and utilizing multi-omics approaches have been demonstrated to give additional valuable insights into biological systems.
Collapse
Affiliation(s)
- Tue Bjerg Bennike
- Medical Microbiology and Immunology, Department of Health Science and Technology, Aalborg University, Aalborg, Denmark
| |
Collapse
|
41
|
Liu YK, Wu X, Hadisurya M, Li L, Kaimakliotis H, Iliuk A, Tao WA. One-Pot Analytical Pipeline for Efficient and Sensitive Proteomic Analysis of Extracellular Vesicles. J Proteome Res 2023; 22:3301-3310. [PMID: 37702715 PMCID: PMC10897859 DOI: 10.1021/acs.jproteome.3c00361] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/14/2023]
Abstract
Extracellular vesicle (EV) proteomics emerges as an effective tool for discovering potential biomarkers for disease diagnosis, monitoring, and therapeutics. However, the current workflow of mass spectrometry-based EV proteome analysis is not fully compatible in a clinical setting due to inefficient EV isolation methods and a tedious sample preparation process. To streamline and improve the efficiency of EV proteome analysis, here we introduce a one-pot analytical pipeline integrating a robust EV isolation approach, EV total recovery and purification (EVtrap), with in situ protein sample preparation, to detect urinary EV proteome. By incorporating solvent-driven protein capture and fast on-bead digestion, the one-pot pipeline enabled the whole EV proteome analysis to be completed within one day. In comparison with the existing workflow, the one-pot pipeline was able to obtain better peptide yield and identify the equivalent number of unique EV proteins from 1 mL of urine. Finally, we applied the one-pot pipeline to profile proteomes in urinary EVs of bladder cancer patients. A total of 2774 unique proteins were identified in 53 urine samples using a 15 min gradient library-free data-independent acquisition method. Taken altogether, our novel one-pot analytical pipeline demonstrated its potential for routine and robust EV proteomics in biomedical applications.
Collapse
Affiliation(s)
- Yi-Kai Liu
- Department of Biochemistry, Purdue University, West Lafayette, Indiana 47907, United States
| | - Xiaofeng Wu
- Department of Chemistry, Purdue University, West Lafayette, Indiana 47907, United States
| | - Marco Hadisurya
- Department of Biochemistry, Purdue University, West Lafayette, Indiana 47907, United States
| | - Li Li
- Tymora Analytical Operations, West Lafayette, Indiana 47906, United States
| | - Hristos Kaimakliotis
- Indiana University School of Medicine, Indianapolis, Indiana 46202, United States
| | - Anton Iliuk
- Department of Biochemistry, Purdue University, West Lafayette, Indiana 47907, United States
- Tymora Analytical Operations, West Lafayette, Indiana 47906, United States
| | - W Andy Tao
- Department of Biochemistry, Purdue University, West Lafayette, Indiana 47907, United States
- Department of Chemistry, Purdue University, West Lafayette, Indiana 47907, United States
- Tymora Analytical Operations, West Lafayette, Indiana 47906, United States
- Purdue Institute for Cancer Research, Purdue University, West Lafayette, Indiana 47907, United States
| |
Collapse
|
42
|
Anastasi F, Botto A, Immordino B, Giovannetti E, McDonnell LA. Proteomics analysis of circulating small extracellular vesicles: Focus on the contribution of EVs to tumor metabolism. Cytokine Growth Factor Rev 2023; 73:3-19. [PMID: 37652834 DOI: 10.1016/j.cytogfr.2023.08.003] [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: 08/11/2023] [Accepted: 08/16/2023] [Indexed: 09/02/2023]
Abstract
The term small extracellular vesicle (sEV) is a comprehensive term that includes any type of cell-derived, membrane-delimited particle that has a diameter < 200 nm, and which includes exosomes and smaller microvesicles. sEVs transfer bioactive molecules between cells and are crucial for cellular homeostasis and particularly during tumor development, where sEVs provide important contributions to the formation of the premetastic niche and to their altered metabolism. sEVs are thus legitimate targets for intervention and have also gained increasing interest as an easily accessible source of biomarkers because they can be rapidly isolated from serum/plasma and their molecular cargo provides information on their cell-of origin. To target sEVs that are specific for a given cell/disease it is essential to identify EV surface proteins that are characteristic of that cell/disease. Mass-spectrometry based proteomics is widely used for the identification and quantification of sEV proteins. The methods used for isolating the sEVs, preparing the sEV sample for proteomics analysis, and mass spectrometry analysis, can have a strong influence on the results and requires careful consideration. This review provides an overview of the approaches used for sEV proteomics and discusses the inherent compromises regarding EV purity versus depth of coverage. Additionally, it discusses the practical applications of the methods to unravel the involvement of sEVs in regulating the metabolism of pancreatic ductal adenocarcinoma (PDAC). The metabolic reprogramming in PDAC includes enhanced glycolysis, elevated glutamine metabolism, alterations in lipid metabolism, mitochondrial dysfunction and hypoxia, all of which are crucial in promoting tumor cell growth. A thorough understanding of these metabolic adaptations is imperative for the development of targeted therapies to exploit PDAC's vulnerabilities.
Collapse
Affiliation(s)
- Federica Anastasi
- Fondazione Pisana per la Scienza ONLUS, San Giuliano Terme, PI, Italy; National Enterprise for NanoScience and NanoTechnology, Scuola Normale Superiore, Pisa, Italy; BarcelonaBeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
| | - Asia Botto
- Fondazione Pisana per la Scienza ONLUS, San Giuliano Terme, PI, Italy; Department of Chemistry and Industrial Chemistry, University of Pisa, Pisa, Italy
| | - Benoit Immordino
- Fondazione Pisana per la Scienza ONLUS, San Giuliano Terme, PI, Italy; Scuola Superiore Sant'Anna, Pisa, Italy
| | - Elisa Giovannetti
- Fondazione Pisana per la Scienza ONLUS, San Giuliano Terme, PI, Italy; Department of Medical Oncology, Amsterdam UMC, Cancer Center Amsterdam, Vrije Universiteit, Amsterdam, the Netherlands
| | - Liam A McDonnell
- Fondazione Pisana per la Scienza ONLUS, San Giuliano Terme, PI, Italy.
| |
Collapse
|
43
|
Schweizer L, Schaller T, Zwiebel M, Karayel Ö, Müller‐Reif JB, Zeng W, Dintner S, Nordmann TM, Hirschbühl K, Märkl B, Claus R, Mann M. Quantitative multiorgan proteomics of fatal COVID-19 uncovers tissue-specific effects beyond inflammation. EMBO Mol Med 2023; 15:e17459. [PMID: 37519267 PMCID: PMC10493576 DOI: 10.15252/emmm.202317459] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Revised: 07/11/2023] [Accepted: 07/14/2023] [Indexed: 08/01/2023] Open
Abstract
SARS-CoV-2 may directly and indirectly damage lung tissue and other host organs, but there are few system-wide, untargeted studies of these effects on the human body. Here, we developed a parallelized mass spectrometry (MS) proteomics workflow enabling the rapid, quantitative analysis of hundreds of virus-infected FFPE tissues. The first layer of response to SARS-CoV-2 in all tissues was dominated by circulating inflammatory molecules. Beyond systemic inflammation, we differentiated between systemic and true tissue-specific effects to reflect distinct COVID-19-associated damage patterns. Proteomic changes in the lungs resembled those of diffuse alveolar damage (DAD) in non-COVID-19 patients. Extensive organ-specific changes were also evident in the kidneys, liver, and lymphatic and vascular systems. Secondary inflammatory effects in the brain were related to rearrangements in neurotransmitter receptors and myelin degradation. These MS-proteomics-derived results contribute substantially to our understanding of COVID-19 pathomechanisms and suggest strategies for organ-specific therapeutic interventions.
Collapse
Affiliation(s)
- Lisa Schweizer
- Department of Proteomics and Signal TransductionMax Planck Institute of BiochemistryMartinsriedGermany
| | - Tina Schaller
- Pathology, Medical FacultyUniversity of AugsburgAugsburgGermany
| | - Maximilian Zwiebel
- Department of Proteomics and Signal TransductionMax Planck Institute of BiochemistryMartinsriedGermany
| | - Özge Karayel
- Department of Proteomics and Signal TransductionMax Planck Institute of BiochemistryMartinsriedGermany
- Present address:
Department of Physiological ChemistryGenentechSouth San FranciscoUSA
| | | | - Wen‐Feng Zeng
- Department of Proteomics and Signal TransductionMax Planck Institute of BiochemistryMartinsriedGermany
| | | | - Thierry M Nordmann
- Department of Proteomics and Signal TransductionMax Planck Institute of BiochemistryMartinsriedGermany
| | - Klaus Hirschbühl
- Hematology and Oncology, Medical FacultyUniversity of AugsburgAugsburgGermany
| | - Bruno Märkl
- Pathology, Medical FacultyUniversity of AugsburgAugsburgGermany
| | - Rainer Claus
- Pathology, Medical FacultyUniversity of AugsburgAugsburgGermany
- Hematology and Oncology, Medical FacultyUniversity of AugsburgAugsburgGermany
| | - Matthias Mann
- Department of Proteomics and Signal TransductionMax Planck Institute of BiochemistryMartinsriedGermany
| |
Collapse
|
44
|
Yu Y, Martin K, Le H, Yang C, Lu G, Zhang X, Grimes C, Zhuang Z, Asare-Okai PN. Development of an Efficient, Effective, and Economical Technology for Proteome Analysis. RESEARCH SQUARE 2023:rs.3.rs-3165690. [PMID: 37502920 PMCID: PMC10371162 DOI: 10.21203/rs.3.rs-3165690/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/29/2023]
Abstract
Proteomics experiments have typically high economic and technical barriers to broad biomedical scientists, which not only result in costly supplies and accessories for sample preparation but also the reluctance to adapt new techniques. In the present study, we present an effective and efficient, yet economical technology, which we call E3technology, for proteomics sample preparation. By immobilizing silica microparticles into a polytetrafluoroethylene (PTFE) matrix, we developed a novel medium, which could be used as a robust and reliable proteomics platform to generate LCMS-friendly samples in a rapid and low-cost fashion. Using different formats of E3technology, including E3tip, E3filter, E3cartridge, and E3plate, we explored a variety of sample types in varied complexity, quantity, volume, and size, including bacterial, fungi, mammalian cells, mouse tissue, and human body fluids. We benchmark their performance against several established approaches. Our data suggest that E3technology outperforms many of the currently available techniques in terms of proteome identification and quantitation. It is widely applicable, highly reproducible, readily scalable and automatable, and is user-friendly and stress-free to non-expert proteomics laboratories. It does not require specialized expertise and equipment, and significantly lowers the technical and economical barrier to proteomics experiments. An enhanced version, E4technology, also opens new avenues to sample preparation for low input and/or low-cell proteomics analysis. The presented technologies by our study represent a breakthrough innovation in biomedical science, and we anticipate widespread adoption by the proteomics community.
Collapse
|
45
|
Venz S, von Bohlen Und Halbach V, Hentschker C, Junker H, Kuss AW, Sura T, Krüger E, Völker U, von Bohlen Und Halbach O, Jensen LR, Hammer E. Global Protein Profiling in Processed Immunohistochemistry Tissue Sections. Int J Mol Sci 2023; 24:11308. [PMID: 37511068 PMCID: PMC10379013 DOI: 10.3390/ijms241411308] [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: 06/16/2023] [Revised: 07/07/2023] [Accepted: 07/08/2023] [Indexed: 07/30/2023] Open
Abstract
Tissue sections, which are widely used in research and diagnostic laboratories and have already been examined by immunohistochemistry (IHC), may subsequently provide a resource for proteomic studies, even though only small amount of protein is available. Therefore, we established a workflow for tandem mass spectrometry-based protein profiling of IHC specimens and characterized defined brain area sections. We investigated the CA1 region of the hippocampus dissected from brain slices of adult C57BL/6J mice. The workflow contains detailed information on sample preparation from brain slices, including removal of antibodies and cover matrices, dissection of region(s) of interest, protein extraction and digestion, mass spectrometry measurement, and data analysis. The Gene Ontology (GO) knowledge base was used for further annotation. Literature searches and Gene Ontology annotation of the detected proteins verify the applicability of this method for global protein profiling using formalin-fixed and embedded material and previously used IHC slides.
Collapse
Affiliation(s)
- Simone Venz
- Institute of Medical Biochemistry and Molecular Biology, University Medicine Greifswald, 17475 Greifswald, Germany
| | | | - Christian Hentschker
- Interfaculty Institute of Genetics and Functional Genomics, University Medicine Greifswald, 17475 Greifswald, Germany
| | - Heike Junker
- Institute of Medical Biochemistry and Molecular Biology, University Medicine Greifswald, 17475 Greifswald, Germany
| | - Andreas Walter Kuss
- Interfaculty Institute of Genetics and Functional Genomics, University Medicine Greifswald, 17475 Greifswald, Germany
| | - Thomas Sura
- Interfaculty Institute of Genetics and Functional Genomics, University Medicine Greifswald, 17475 Greifswald, Germany
| | - Elke Krüger
- Institute of Medical Biochemistry and Molecular Biology, University Medicine Greifswald, 17475 Greifswald, Germany
| | - Uwe Völker
- Interfaculty Institute of Genetics and Functional Genomics, University Medicine Greifswald, 17475 Greifswald, Germany
| | | | - Lars Riff Jensen
- Interfaculty Institute of Genetics and Functional Genomics, University Medicine Greifswald, 17475 Greifswald, Germany
| | - Elke Hammer
- Interfaculty Institute of Genetics and Functional Genomics, University Medicine Greifswald, 17475 Greifswald, Germany
| |
Collapse
|
46
|
Chen Y, Gin JW, Wang Y, de Raad M, Tan S, Hillson NJ, Northen TR, Adams PD, Petzold CJ. Alkaline-SDS cell lysis of microbes with acetone protein precipitation for proteomic sample preparation in 96-well plate format. PLoS One 2023; 18:e0288102. [PMID: 37418444 DOI: 10.1371/journal.pone.0288102] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Accepted: 06/20/2023] [Indexed: 07/09/2023] Open
Abstract
Plate-based proteomic sample preparation offers a solution to the large sample throughput demands in the biotechnology field where hundreds or thousands of engineered microbes are constructed for testing is routine. Meanwhile, sample preparation methods that work efficiently on broader microbial groups are desirable for new applications of proteomics in other fields, such as microbial communities. Here, we detail a step-by-step protocol that consists of cell lysis in an alkaline chemical buffer (NaOH/SDS) followed by protein precipitation with high-ionic strength acetone in 96-well format. The protocol works for a broad range of microbes (e.g., Gram-negative bacteria, Gram-positive bacteria, non-filamentous fungi) and the resulting proteins are ready for tryptic digestion for bottom-up quantitative proteomic analysis without the need for desalting column cleanup. The yield of protein using this protocol increases linearly with respect to the amount of starting biomass from 0.5-2.0 OD*mL of cells. By using a bench-top automated liquid dispenser, a cost-effective and environmentally-friendly option to eliminating pipette tips and reducing reagent waste, the protocol takes approximately 30 minutes to extract protein from 96 samples. Tests on mock mixtures showed expected results that the biomass composition structure is in close agreement with the experimental design. Lastly, we applied the protocol for the composition analysis of a synthetic community of environmental isolates grown on two different media. This protocol has been developed to facilitate rapid, low-variance sample preparation of hundreds of samples and allow flexibility for future protocol development.
Collapse
Affiliation(s)
- Yan Chen
- Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, California, United States of America
- DOE Joint BioEnergy Institute, Emeryville, California, United States of America
- DOE Agile BioFoundry, Emeryville, California, United States of America
| | - Jennifer W Gin
- Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, California, United States of America
- DOE Joint BioEnergy Institute, Emeryville, California, United States of America
- DOE Agile BioFoundry, Emeryville, California, United States of America
| | - Ying Wang
- Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, California, United States of America
| | - Markus de Raad
- Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, California, United States of America
| | - Stephen Tan
- Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, California, United States of America
- DOE Joint BioEnergy Institute, Emeryville, California, United States of America
- DOE Agile BioFoundry, Emeryville, California, United States of America
| | - Nathan J Hillson
- Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, California, United States of America
- DOE Joint BioEnergy Institute, Emeryville, California, United States of America
- DOE Agile BioFoundry, Emeryville, California, United States of America
| | - Trent R Northen
- DOE Joint BioEnergy Institute, Emeryville, California, United States of America
- Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, California, United States of America
| | - Paul D Adams
- DOE Joint BioEnergy Institute, Emeryville, California, United States of America
- Department of Bioengineering, University of California Berkeley, Berkeley, California, United States of America
- Molecular Biophysics and Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, California, United States of America
| | - Christopher J Petzold
- Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, California, United States of America
- DOE Joint BioEnergy Institute, Emeryville, California, United States of America
- DOE Agile BioFoundry, Emeryville, California, United States of America
| |
Collapse
|
47
|
Alvarez-Rivera E, Ortiz-Hernández EJ, Lugo E, Lozada-Reyes LM, Boukli NM. Oncogenic Proteomics Approaches for Translational Research and HIV-Associated Malignancy Mechanisms. Proteomes 2023; 11:22. [PMID: 37489388 PMCID: PMC10366845 DOI: 10.3390/proteomes11030022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 06/09/2023] [Accepted: 06/29/2023] [Indexed: 07/26/2023] Open
Abstract
Recent advances in the field of proteomics have allowed extensive insights into the molecular regulations of the cell proteome. Specifically, this allows researchers to dissect a multitude of signaling arrays while targeting for the discovery of novel protein signatures. These approaches based on data mining are becoming increasingly powerful for identifying both potential disease mechanisms as well as indicators for disease progression and overall survival predictive and prognostic molecular markers for cancer. Furthermore, mass spectrometry (MS) integrations satisfy the ongoing demand for in-depth biomarker validation. For the purpose of this review, we will highlight the current developments based on MS sensitivity, to place quantitative proteomics into clinical settings and provide a perspective to integrate proteomics data for future applications in cancer precision medicine. We will also discuss malignancies associated with oncogenic viruses such as Acquire Immunodeficiency Syndrome (AIDS) and suggest novel mechanisms behind this phenomenon. Human Immunodeficiency Virus type-1 (HIV-1) proteins are known to be oncogenic per se, to induce oxidative and endoplasmic reticulum stresses, and to be released from the infected or expressing cells. HIV-1 proteins can act alone or in collaboration with other known oncoproteins, which cause the bulk of malignancies in people living with HIV-1 on ART.
Collapse
Affiliation(s)
- Eduardo Alvarez-Rivera
- Biomedical Proteomics Facility, Department of Microbiology and Immunology, Universidad Central del Caribe, School of Medicine, Bayamón, PR 00960, USA
| | - Emanuel J. Ortiz-Hernández
- Biomedical Proteomics Facility, Department of Microbiology and Immunology, Universidad Central del Caribe, School of Medicine, Bayamón, PR 00960, USA
| | - Elyette Lugo
- Biomedical Proteomics Facility, Department of Microbiology and Immunology, Universidad Central del Caribe, School of Medicine, Bayamón, PR 00960, USA
| | | | - Nawal M. Boukli
- Biomedical Proteomics Facility, Department of Microbiology and Immunology, Universidad Central del Caribe, School of Medicine, Bayamón, PR 00960, USA
| |
Collapse
|
48
|
Zittlau K, Nashier P, Cavarischia-Rega C, Macek B, Spät P, Nalpas N. Recent progress in quantitative phosphoproteomics. Expert Rev Proteomics 2023; 20:469-482. [PMID: 38116637 DOI: 10.1080/14789450.2023.2295872] [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: 08/11/2023] [Accepted: 12/12/2023] [Indexed: 12/21/2023]
Abstract
INTRODUCTION Protein phosphorylation is a critical post-translational modification involved in the regulation of numerous cellular processes from signal transduction to modulation of enzyme activities. Knowledge of dynamic changes of phosphorylation levels during biological processes, under various treatments or between healthy and disease models is fundamental for understanding the role of each phosphorylation event. Thereby, LC-MS/MS based technologies in combination with quantitative proteomics strategies evolved as a powerful strategy to investigate the function of individual protein phosphorylation events. AREAS COVERED State-of-the-art labeling techniques including stable isotope and isobaric labeling provide precise and accurate quantification of phosphorylation events. Here, we review the strengths and limitations of recent quantification methods and provide examples based on current studies, how quantitative phosphoproteomics can be further optimized for enhanced analytic depth, dynamic range, site localization, and data integrity. Specifically, reducing the input material demands is key to a broader implementation of quantitative phosphoproteomics, not least for clinical samples. EXPERT OPINION Despite quantitative phosphoproteomics is one of the most thriving fields in the proteomics world, many challenges still have to be overcome to facilitate even deeper and more comprehensive analyses as required in the current research, especially at single cell levels and in clinical diagnostics.
Collapse
Affiliation(s)
- Katharina Zittlau
- Quantitative Proteomics, Interfaculty Institute of Cell Biology, University of Tuebingen, Tuebingen , Germany
| | - Payal Nashier
- Quantitative Proteomics, Interfaculty Institute of Cell Biology, University of Tuebingen, Tuebingen , Germany
| | - Claudia Cavarischia-Rega
- Quantitative Proteomics, Interfaculty Institute of Cell Biology, University of Tuebingen, Tuebingen , Germany
| | - Boris Macek
- Quantitative Proteomics, Interfaculty Institute of Cell Biology, University of Tuebingen, Tuebingen , Germany
| | - Philipp Spät
- Quantitative Proteomics, Interfaculty Institute of Cell Biology, University of Tuebingen, Tuebingen , Germany
| | - Nicolas Nalpas
- Quantitative Proteomics, Interfaculty Institute of Cell Biology, University of Tuebingen, Tuebingen , Germany
| |
Collapse
|
49
|
Li X, Gluth A, Zhang T, Qian WJ. Thiol redox proteomics: Characterization of thiol-based post-translational modifications. Proteomics 2023; 23:e2200194. [PMID: 37248656 PMCID: PMC10764013 DOI: 10.1002/pmic.202200194] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Revised: 05/12/2023] [Accepted: 05/16/2023] [Indexed: 05/31/2023]
Abstract
Redox post-translational modifications on cysteine thiols (redox PTMs) have profound effects on protein structure and function, thus enabling regulation of various biological processes. Redox proteomics approaches aim to characterize the landscape of redox PTMs at the systems level. These approaches facilitate studies of condition-specific, dynamic processes implicating redox PTMs and have furthered our understanding of redox signaling and regulation. Mass spectrometry (MS) is a powerful tool for such analyses which has been demonstrated by significant advances in redox proteomics during the last decade. A group of well-established approaches involves the initial blocking of free thiols followed by selective reduction of oxidized PTMs and subsequent enrichment for downstream detection. Alternatively, novel chemoselective probe-based approaches have been developed for various redox PTMs. Direct detection of redox PTMs without any enrichment has also been demonstrated given the sensitivity of contemporary MS instruments. This review discusses the general principles behind different analytical strategies and covers recent advances in redox proteomics. Several applications of redox proteomics are also highlighted to illustrate how large-scale redox proteomics data can lead to novel biological insights.
Collapse
Affiliation(s)
- Xiaolu Li
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354
| | - Austin Gluth
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354
- Department of Biological Systems Engineering, Washington State University, Richland, WA 99354
| | - Tong Zhang
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354
| | - Wei-Jun Qian
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354
| |
Collapse
|
50
|
Lange PF, Schilling O, Huesgen PF. Positional proteomics: is the technology ready to study clinical cohorts? Expert Rev Proteomics 2023; 20:309-318. [PMID: 37869791 DOI: 10.1080/14789450.2023.2272046] [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: 05/15/2023] [Accepted: 08/22/2023] [Indexed: 10/24/2023]
Abstract
INTRODUCTION Positional proteomics provides proteome-wide information on protein termini and their modifications, uniquely enabling unambiguous identification of site-specific, limited proteolysis. Such proteolytic cleavage irreversibly modifies protein sequences resulting in new proteoforms with distinct protease-generated neo-N and C-termini and altered localization and activity. Misregulated proteolysis is implicated in a wide variety of human diseases. Protein termini, therefore, constitute a huge, largely unexplored source of specific analytes that provides a deep view into the functional proteome and a treasure trove for biomarkers. AREAS COVERED We briefly review principal approaches to define protein termini and discuss recent advances in method development. We further highlight the potential of positional proteomics to identify and trace specific proteoforms, with a focus on proteolytic processes altered in disease. Lastly, we discuss current challenges and potential for applying positional proteomics in biomarker and pre-clinical research. EXPERT OPINION Recent developments in positional proteomics have provided significant advances in sensitivity and throughput. In-depth analysis of proteolytic processes in clinical cohorts thus appears feasible in the near future. We argue that this will provide insights into the functional state of the proteome and offer new opportunities to utilize proteolytic processes altered or targeted in disease as specific diagnostic, prognostic and companion biomarkers.
Collapse
Affiliation(s)
- Philipp F Lange
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
- Michael Cuccione Childhood Cancer Research Program, BC Children's Hospital Research Institute, Vancouver, BC, Canada
- Department of Molecular Oncology, BC Cancer Research Centre, Vancouver, BC, Canada
| | - Oliver Schilling
- Institute of Surgical Pathology, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- German Cancer Consortium (DKTK) and German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Pitter F Huesgen
- Central Institute for Engineering, Electronics and Analytics, ZEA-3, Forschungszentrum Jülich, Jülich, Germany
- Cologne Excellence Cluster on Stress Responses in Ageing-Associated Diseases, CECAD, Medical Faculty and University Hospital, University of Cologne, Cologne, Germany
- Institute of Biochemistry, Department for Chemistry, University of Cologne, Cologne, Germany
- Faculty of Biology, University of Freiburg, Freiburg, Germany
| |
Collapse
|