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Steinbach MK, Leipert J, Matzanke T, Tholey A. Digital Microfluidics for Sample Preparation in Low-Input Proteomics. SMALL METHODS 2024:e2400495. [PMID: 39205538 DOI: 10.1002/smtd.202400495] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/08/2024] [Revised: 08/16/2024] [Indexed: 09/04/2024]
Abstract
Low-input proteomics, also referred to as micro- or nanoproteomics, has become increasingly popular as it allows one to elucidate molecular processes in rare biological materials. A major prerequisite for the analytics of minute protein amounts, e.g., derived from low cell numbers, down to single cells, is the availability of efficient sample preparation methods. Digital microfluidics (DMF), a technology allowing the handling and manipulation of low liquid volumes, has recently been shown to be a powerful and versatile tool to address the challenges in low-input proteomics. Here, an overview is provided on recent advances in proteomics sample preparation using DMF. In particular, the capability of DMF to isolate proteomes from cells and small model organisms, and to perform all necessary chemical sample preparation steps, such as protein denaturation and proteolytic digestion on-chip, are highlighted. Additionally, major prerequisites to making these steps compatible with follow-up analytical methods such as liquid chromatography-mass spectrometry will be discussed.
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Affiliation(s)
- Max K Steinbach
- Systematic Proteome Research & Bioanalytics, Institute for Experimental Medicine, Christian-Albrechts-Universität zu Kiel, 24105, Kiel, Germany
| | - Jan Leipert
- Systematic Proteome Research & Bioanalytics, Institute for Experimental Medicine, Christian-Albrechts-Universität zu Kiel, 24105, Kiel, Germany
| | - Theo Matzanke
- Systematic Proteome Research & Bioanalytics, Institute for Experimental Medicine, Christian-Albrechts-Universität zu Kiel, 24105, Kiel, Germany
| | - Andreas Tholey
- Systematic Proteome Research & Bioanalytics, Institute for Experimental Medicine, Christian-Albrechts-Universität zu Kiel, 24105, Kiel, Germany
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2
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Ho M, Sathishkumar N, Sklavounos AA, Sun J, Yang I, Nichols KP, Wheeler AR. Digital microfluidics with distance-based detection - a new approach for nucleic acid diagnostics. LAB ON A CHIP 2023; 24:63-73. [PMID: 37987330 DOI: 10.1039/d3lc00683b] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/22/2023]
Abstract
There is great enthusiasm for using loop-mediated isothermal amplification (LAMP) in point-of-care nucleic acid amplification tests (POC NAATs), as an alternative to PCR. While isothermal amplification techniques like LAMP eliminate the need for rapid temperature cycling in a portable format, these systems are still plagued by requirements for dedicated optical detection apparatus for analysis and manual off-chip sample processing. Here, we developed a new microfluidic system for LAMP-based POC NAATs to address these limitations. The new system combines digital microfluidics (DMF) with distance-based detection (DBD) for direct signal readout. This is the first report of the use of (i) LAMP or (ii) DMF with DBD - thus, we describe a number of characterization steps taken to determine optimal combinations of reagents, materials, and processes for reliable operation. For example, DBD was found to be quite sensitive to background signals from low molecular weight LAMP products; thus, a Capto™ adhere bead-based clean-up procedure was developed to isolate the desirable high-molecular-weight products for analysis. The new method was validated by application to detection of SARS-CoV-2 in saliva. The method was able to distinguish between saliva containing no virus, saliva containing a low viral load (104 genome copies per mL), and saliva containing a high viral load (108 copies per mL), all in an automated system that does not require detection apparatus for analysis. We propose that the combination of DMF with distance-based detection may be a powerful one for implementing a variety of POC NAATs or for other applications in the future.
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Affiliation(s)
- Man Ho
- Department of Chemistry, University of Toronto, 80. St. George Street, Toronto, Ontario, M5S 3H6, Canada.
- Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, 160 College Street, Toronto, Ontario, M5S 3E1, Canada
| | - N Sathishkumar
- Department of Chemistry, University of Toronto, 80. St. George Street, Toronto, Ontario, M5S 3H6, Canada.
- Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, 160 College Street, Toronto, Ontario, M5S 3E1, Canada
| | - Alexandros A Sklavounos
- Department of Chemistry, University of Toronto, 80. St. George Street, Toronto, Ontario, M5S 3H6, Canada.
- Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, 160 College Street, Toronto, Ontario, M5S 3E1, Canada
| | - Jianxian Sun
- Department of Chemistry, University of Toronto, 80. St. George Street, Toronto, Ontario, M5S 3H6, Canada.
| | - Ivy Yang
- Department of Chemical Engineering & Applied Chemistry, University of Toronto, 200 College Street, Toronto, Ontario, M5S 3E5, Canada
| | | | - Aaron R Wheeler
- Department of Chemistry, University of Toronto, 80. St. George Street, Toronto, Ontario, M5S 3H6, Canada.
- Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, 160 College Street, Toronto, Ontario, M5S 3E1, Canada
- Institute of Biomedical Engineering, University of Toronto, 164 College Street, Toronto, Ontario, M5S 3G9, Canada
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3
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Yang C, Gan X, Zeng Y, Xu Z, Xu L, Hu C, Ma H, Chai B, Hu S, Chai Y. Advanced design and applications of digital microfluidics in biomedical fields: An update of recent progress. Biosens Bioelectron 2023; 242:115723. [PMID: 37832347 DOI: 10.1016/j.bios.2023.115723] [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: 07/05/2023] [Revised: 09/11/2023] [Accepted: 09/29/2023] [Indexed: 10/15/2023]
Abstract
Significant breakthroughs have been made in digital microfluidic (DMF)-based technologies over the past decades. DMF technology has attracted great interest in bioassays depending on automatic microscale liquid manipulations and complicated multi-step processing. In this review, the recent advances of DMF platforms in the biomedical field were summarized, focusing on the integrated design and applications of the DMF system. Firstly, the electrowetting-on-dielectric principle, fabrication of DMF chips, and commercialization of the DMF system were elaborated. Then, the updated droplets and magnetic beads manipulation strategies with DMF were explored. DMF-based biomedical applications were comprehensively discussed, including automated sample preparation strategies, immunoassays, molecular diagnosis, blood processing/testing, and microbe analysis. Emerging applications such as enzyme activity assessment and DNA storage were also explored. The performance of each bioassay was compared and discussed, providing insight into the novel design and applications of the DMF technology. Finally, the advantages, challenges, and future trends of DMF systems were systematically summarized, demonstrating new perspectives on the extensive applications of DMF in basic research and commercialization.
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Affiliation(s)
- Chengbin Yang
- School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China.
| | - Xiangyu Gan
- School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China.
| | - Yuping Zeng
- School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China.
| | - Zhourui Xu
- School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China.
| | - Longqian Xu
- CAS Key Laboratory of Bio-Medical Diagnostics, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China.
| | - Chenxuan Hu
- CAS Key Laboratory of Bio-Medical Diagnostics, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China.
| | - Hanbin Ma
- CAS Key Laboratory of Bio-Medical Diagnostics, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China; Guangdong ACXEL Micro & Nano Tech Co., Ltd, Foshan, China.
| | - Bao Chai
- Department of Dermatology, Huazhong University of Science and Technology Union Shenzhen Hospital, Shenzhen, China; Department of Dermatology, The 6th Affiliated Hospital of Shenzhen University Health Science Center, Shenzhen, China.
| | - Siyi Hu
- CAS Key Laboratory of Bio-Medical Diagnostics, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China.
| | - Yujuan Chai
- School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China.
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4
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Chan C, Peng J, Rajesh V, Scott EY, Sklavounos AA, Faiz M, Wheeler AR. Digital Microfluidics for Microproteomic Analysis of Minute Mammalian Tissue Samples Enabled by a Photocleavable Surfactant. J Proteome Res 2023; 22:3242-3253. [PMID: 37651704 DOI: 10.1021/acs.jproteome.3c00281] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/02/2023]
Abstract
Proteome profiles of precious tissue samples have great clinical potential for accelerating disease biomarker discovery and promoting novel strategies for early diagnosis and treatment. However, tiny clinical tissue samples are often difficult to handle and analyze with conventional proteomic methods. Automated digital microfluidic (DMF) workflows facilitate the manipulation of size-limited tissue samples. Here, we report the assessment of a DMF microproteomics workflow enabled by a photocleavable surfactant for proteomic analysis of minute tissue samples. The surfactant 4-hexylphenylazosulfonate (Azo) was found to facilitate fast droplet movement on DMF and enhance the proteomics analysis. Comparisons of Azo and n-Dodecyl β-d-maltoside (DDM) using small samples of HeLa digest standards and MCF-7 cell digests revealed distinct differences at the peptide level despite similar results at the protein level. The DMF microproteomics workflow was applied for the sample preparation of ∼3 μg biopsies from murine brain tissue. A total of 1969 proteins were identified in three samples, including established neural biomarkers and proteins related to synaptic signaling. Going forward, we propose that the Azo-enabled DMF workflow has the potential to advance the practical clinical application of DMF for the analysis of size-limited tissue samples.
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Affiliation(s)
- Calvin Chan
- Department of Chemistry, University of Toronto, Toronto M5S 3H6, Ontario, Canada
| | - Jiaxi Peng
- Department of Chemistry, University of Toronto, Toronto M5S 3H6, Ontario, Canada
- Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto M5S 3E1, Ontario, Canada
- Institute of Biomedical Engineering, University of Toronto, Toronto M5S 3G9, Ontario, Canada
| | - Vigneshwar Rajesh
- Department of Chemistry, University of Toronto, Toronto M5S 3H6, Ontario, Canada
| | - Erica Y Scott
- Department of Chemistry, University of Toronto, Toronto M5S 3H6, Ontario, Canada
- Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto M5S 3E1, Ontario, Canada
- Institute of Biomedical Engineering, University of Toronto, Toronto M5S 3G9, Ontario, Canada
- Department of Surgery, University of Toronto, Toronto M5S 1A8, Ontario, Canada
| | - Alexandros A Sklavounos
- Department of Chemistry, University of Toronto, Toronto M5S 3H6, Ontario, Canada
- Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto M5S 3E1, Ontario, Canada
| | - Maryam Faiz
- Department of Surgery, University of Toronto, Toronto M5S 1A8, Ontario, Canada
| | - Aaron R Wheeler
- Department of Chemistry, University of Toronto, Toronto M5S 3H6, Ontario, Canada
- Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto M5S 3E1, Ontario, Canada
- Institute of Biomedical Engineering, University of Toronto, Toronto M5S 3G9, Ontario, Canada
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5
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Mun DG, Bhat FA, Ding H, Madden BJ, Natesampillai S, Badley AD, Johnson KL, Kelly RT, Pandey A. Optimizing single cell proteomics using trapped ion mobility spectrometry for label-free experiments. Analyst 2023; 148:3466-3475. [PMID: 37395315 PMCID: PMC10370902 DOI: 10.1039/d3an00080j] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2023] [Accepted: 03/10/2023] [Indexed: 07/04/2023]
Abstract
Although single cell RNA-seq has had a tremendous impact on biological research, a corresponding technology for unbiased mass spectrometric analysis of single cells has only recently become available. Significant technological breakthroughs including miniaturized sample handling have enabled proteome profiling of single cells. Furthermore, trapped ion mobility spectrometry (TIMS) in combination with parallel accumulation-serial fragmentation operated in data-dependent acquisition mode (DDA-PASEF) allowed improved proteome coverage from low-input samples. It has been demonstrated that modulating the ion flux in TIMS affects the overall performance of proteome profiling. However, the effect of TIMS settings on the analysis of low-input samples has been less investigated. Thus, we sought to optimize the conditions of TIMS with regard to ion accumulation/ramp times and ion mobility range for low-input samples. We observed that an ion accumulation time of 180 ms and monitoring a narrower ion mobility range from 0.7 to 1.3 V s cm-2 resulted in a substantial gain in the depth of proteome coverage and in detecting proteins with low abundance. We used these optimized conditions for proteome profiling of sorted human primary T cells, which yielded an average of 365, 804, 1116, and 1651 proteins from single, five, ten, and forty T cells, respectively. Notably, we demonstrated that the depth of proteome coverage from a low number of cells was sufficient to delineate several essential metabolic pathways and the T cell receptor signaling pathway. Finally, we showed the feasibility of detecting post-translational modifications including phosphorylation and acetylation from single cells. We believe that such an approach could be applied to label-free analysis of single cells obtained from clinically relevant samples.
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Affiliation(s)
- Dong-Gi Mun
- Department of Laboratory Medicine and Pathology, Mayo Clinic, 200 First ST SW, Rochester, MN 55905, USA.
| | - Firdous A Bhat
- Department of Laboratory Medicine and Pathology, Mayo Clinic, 200 First ST SW, Rochester, MN 55905, USA.
| | - Husheng Ding
- Department of Laboratory Medicine and Pathology, Mayo Clinic, 200 First ST SW, Rochester, MN 55905, USA.
| | | | | | - Andrew D Badley
- Division of Infectious Diseases, Mayo Clinic, Rochester, MN 55905, USA
| | | | - Ryan T Kelly
- Department of Chemistry and Biochemistry, Brigham Young University, Provo, Utah 84602, USA
| | - Akhilesh Pandey
- Department of Laboratory Medicine and Pathology, Mayo Clinic, 200 First ST SW, Rochester, MN 55905, USA.
- Manipal Academy of Higher Education, Manipal, 576104, Karnataka, India
- Center for Individualized Medicine, Mayo Clinic, Rochester, MN 55905, USA
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Stutzmann C, Peng J, Wu Z, Savoie C, Sirois I, Thibault P, Wheeler AR, Caron E. Unlocking the potential of microfluidics in mass spectrometry-based immunopeptidomics for tumor antigen discovery. CELL REPORTS METHODS 2023; 3:100511. [PMID: 37426761 PMCID: PMC10326451 DOI: 10.1016/j.crmeth.2023.100511] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 07/11/2023]
Abstract
The identification of tumor-specific antigens (TSAs) is critical for developing effective cancer immunotherapies. Mass spectrometry (MS)-based immunopeptidomics has emerged as a powerful tool for identifying TSAs as physical molecules. However, current immunopeptidomics platforms face challenges in measuring low-abundance TSAs in a precise, sensitive, and reproducible manner from small needle-tissue biopsies (<1 mg). Inspired by recent advances in single-cell proteomics, microfluidics technology offers a promising solution to these limitations by providing improved isolation of human leukocyte antigen (HLA)-associated peptides with higher sensitivity. In this context, we highlight the challenges in sample preparation and the rationale for developing microfluidics technology in immunopeptidomics. Additionally, we provide an overview of promising microfluidic methods, including microchip pillar arrays, valved-based systems, droplet microfluidics, and digital microfluidics, and discuss the latest research on their application in MS-based immunopeptidomics and single-cell proteomics.
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Affiliation(s)
| | - Jiaxi Peng
- Department of Chemistry, University of Toronto, Toronto, ON, Canada
| | - Zhaoguan Wu
- CHU Sainte Justine Research Center, Montreal, QC, Canada
| | | | | | - Pierre Thibault
- Institute for Research in Immunology and Cancer, University of Montreal, Montreal, QC, Canada
- Department of Chemistry, University of Montreal, Montreal, QC, Canada
| | - Aaron R. Wheeler
- Department of Chemistry, University of Toronto, Toronto, ON, Canada
- Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, ON, Canada
- Institute of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, ON, Canada
| | - Etienne Caron
- CHU Sainte Justine Research Center, Montreal, QC, Canada
- Department of Pathology and Cellular Biology, University of Montreal, Montreal, QC, Canada
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7
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Hadavi D, Tosheva I, Siegel TP, Cuypers E, Honing M. Technological advances for analyzing the content of organ-on-a-chip by mass spectrometry. Front Bioeng Biotechnol 2023; 11:1197760. [PMID: 37284240 PMCID: PMC10239923 DOI: 10.3389/fbioe.2023.1197760] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Accepted: 05/05/2023] [Indexed: 06/08/2023] Open
Abstract
Three-dimensional (3D) cell cultures, including organ-on-a-chip (OOC) devices, offer the possibility to mimic human physiology conditions better than 2D models. The organ-on-a-chip devices have a wide range of applications, including mechanical studies, functional validation, and toxicology investigations. Despite many advances in this field, the major challenge with the use of organ-on-a-chips relies on the lack of online analysis methods preventing the real-time observation of cultured cells. Mass spectrometry is a promising analytical technique for real-time analysis of cell excretes from organ-on-a-chip models. This is due to its high sensitivity, selectivity, and ability to tentatively identify a large variety of unknown compounds, ranging from metabolites, lipids, and peptides to proteins. However, the hyphenation of organ-on-a-chip with MS is largely hampered by the nature of the media used, and the presence of nonvolatile buffers. This in turn stalls the straightforward and online connection of organ-on-a-chip outlet to MS. To overcome this challenge, multiple advances have been made to pre-treat samples right after organ-on-a-chip and just before MS. In this review, we summarised these technological advances and exhaustively evaluated their benefits and shortcomings for successful hyphenation of organ-on-a-chip with MS.
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8
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D'Amico CI, Robbins G, Po I, Fang Z, Slaney TR, Tremml G, Tao L, Ruotolo BT, Kennedy RT. Screening Clones for Monoclonal Antibody Production Using Droplet Microfluidics Interfaced to Electrospray Ionization Mass Spectrometry. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2023. [PMID: 37192521 DOI: 10.1021/jasms.3c00055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/18/2023]
Abstract
As one of the most critical steps in process development for protein therapeutics, clone selection and cell culture optimization require a large number of samples to be screened for high titer and desirable molecular profiles. Typical analytical techniques, such as chromatographic approaches, often take minutes per sample which are inefficient for large-scale screenings. Droplet microfluidics coupled to mass spectrometry (MS) represents an attractive approach due to its low volume requirements, high-throughput capabilities, label-free nature, and ability to handle complex mixtures. In this work, we coupled a modified protein cleanup protocol with a droplet-MS workflow for mAb titer screening to guide clone selection. With this droplet approach we achieved a throughput of 0.04 samples/s with an LoD of 0.15 mg/mL and an LoQ of 0.45 mg/mL. To test its performance in a real-world setting, this workflow was applied to a 35-clone screen, where the top 20% producing clones were identified. In addition, we coupled our sample cleanup protocol to a high-resolution MS and compared the glycan profiles of the high titer clones. This work demonstrates that droplet-MS provides a rapid way of clone screening and cell culture optimization based on titer and molecular structure of the expressed proteins. Future work is aimed at increasing the throughput and automation of this droplet-MS technique.
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Affiliation(s)
- Cara I D'Amico
- Department of Pharmacology, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Gillian Robbins
- Department of Chemistry, University of Michigan, Ann Arbor Michigan 48109, United States
| | - Iris Po
- Biologics Development, Bristol Myers Squibb, New Brunswick, New Jersey 08901, United States
| | - Zhichao Fang
- Biologics Development, Bristol Myers Squibb, New Brunswick, New Jersey 08901, United States
| | - Thomas R Slaney
- Biologics Development, Bristol Myers Squibb, New Brunswick, New Jersey 08901, United States
| | - Gabi Tremml
- Biologics Development, Bristol Myers Squibb, New Brunswick, New Jersey 08901, United States
| | - Li Tao
- Biologics Development, Bristol Myers Squibb, New Brunswick, New Jersey 08901, United States
| | - Brandon T Ruotolo
- Department of Chemistry, University of Michigan, Ann Arbor Michigan 48109, United States
| | - Robert T Kennedy
- Department of Pharmacology, University of Michigan, Ann Arbor, Michigan 48109, United States
- Department of Chemistry, University of Michigan, Ann Arbor Michigan 48109, United States
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9
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Gebreyesus ST, Muneer G, Huang CC, Siyal AA, Anand M, Chen YJ, Tu HL. Recent advances in microfluidics for single-cell functional proteomics. LAB ON A CHIP 2023; 23:1726-1751. [PMID: 36811978 DOI: 10.1039/d2lc01096h] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
Single-cell proteomics (SCP) reveals phenotypic heterogeneity by profiling individual cells, their biological states and functional outcomes upon signaling activation that can hardly be probed via other omics characterizations. This has become appealing to researchers as it enables an overall more holistic view of biological details underlying cellular processes, disease onset and progression, as well as facilitates unique biomarker identification from individual cells. Microfluidic-based strategies have become methods of choice for single-cell analysis because they allow facile assay integrations, such as cell sorting, manipulation, and content analysis. Notably, they have been serving as an enabling technology to improve the sensitivity, robustness, and reproducibility of recently developed SCP methods. Critical roles of microfluidics technologies are expected to further expand rapidly in advancing the next phase of SCP analysis to reveal more biological and clinical insights. In this review, we will capture the excitement of the recent achievements of microfluidics methods for both targeted and global SCP, including efforts to enhance the proteomic coverage, minimize sample loss, and increase multiplexity and throughput. Furthermore, we will discuss the advantages, challenges, applications, and future prospects of SCP.
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Affiliation(s)
- Sofani Tafesse Gebreyesus
- Institute of Chemistry, Academia Sinica, Taipei 11529, Taiwan.
- Nano Science and Technology Program, Taiwan International Graduate Program, Academia Sinica, Taipei 11529, Taiwan
- Department of Chemistry, National Taiwan University, Taipei 10617, Taiwan
| | - Gul Muneer
- Institute of Chemistry, Academia Sinica, Taipei 11529, Taiwan.
- Chemical Biology and Molecular Biophysics Program, Taiwan International Graduate Program, Academia Sinica, Taipei 11529, Taiwan
- Institute of Biochemical Sciences, National Taiwan University, Taipei 10617, Taiwan
| | | | - Asad Ali Siyal
- Institute of Chemistry, Academia Sinica, Taipei 11529, Taiwan.
| | - Mihir Anand
- Institute of Chemistry, Academia Sinica, Taipei 11529, Taiwan.
- Chemical Biology and Molecular Biophysics Program, Taiwan International Graduate Program, Academia Sinica, Taipei 11529, Taiwan
- Institute of Biochemical Sciences, National Taiwan University, Taipei 10617, Taiwan
| | - Yu-Ju Chen
- Institute of Chemistry, Academia Sinica, Taipei 11529, Taiwan.
- Department of Chemistry, National Taiwan University, Taipei 10617, Taiwan
- Chemical Biology and Molecular Biophysics Program, Taiwan International Graduate Program, Academia Sinica, Taipei 11529, Taiwan
- Genome and Systems Biology Degree Program, Academia Sinica and National Taiwan University, Taipei 10617, Taiwan
| | - Hsiung-Lin Tu
- Institute of Chemistry, Academia Sinica, Taipei 11529, Taiwan.
- Nano Science and Technology Program, Taiwan International Graduate Program, Academia Sinica, Taipei 11529, Taiwan
- Chemical Biology and Molecular Biophysics Program, Taiwan International Graduate Program, Academia Sinica, Taipei 11529, Taiwan
- Genome and Systems Biology Degree Program, Academia Sinica and National Taiwan University, Taipei 10617, Taiwan
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10
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Peng J, Chan C, Zhang S, Sklavounos AA, Olson ME, Scott EY, Hu Y, Rajesh V, Li BB, Chamberlain MD, Zhang S, Peng H, Wheeler AR. All-in-One digital microfluidics pipeline for proteomic sample preparation and analysis. Chem Sci 2023; 14:2887-2900. [PMID: 36937585 PMCID: PMC10016607 DOI: 10.1039/d3sc00560g] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Accepted: 02/07/2023] [Indexed: 02/24/2023] Open
Abstract
Highly sensitive and reproducible analysis of samples containing low amounts of protein is restricted by sample loss and the introduction of contaminants during processing. Here, we report an All-in-One digital microfluidic (DMF) pipeline for proteomic sample reduction, alkylation, digestion, isotopic labeling and analysis. The system features end-to-end automation, with integrated thermal control for digestion, optimized droplet additives for sample manipulation and analysis, and an automated interface to liquid chromatography with tandem mass spectrometry (HPLC-MS/MS). Dimethyl labeling was integrated into the pipeline to allow for relative quantification of the trace samples at the nanogram level, and the new pipeline was applied to evaluating cancer cell lines and cancer tissue samples. Several known proteins (including HSP90AB1, HSPB1, LDHA, ENO1, PGK1, KRT18, and AKR1C2) and pathways were observed between model breast cancer cell lines related to hormone response, cell metabolism, and cell morphology. Furthermore, differentially quantified proteins (such as PGS2, UGDH, ASPN, LUM, COEA1, and PRELP) were found in comparisons of healthy and cancer breast tissues, suggesting potential utility of the All-in-One pipeline for the emerging application of proteomic cancer sub-typing. In sum, the All-in-One pipeline represents a powerful new tool for automated proteome processing and analysis, with the potential to be useful for evaluating mass-limited samples for a wide range of applications.
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Affiliation(s)
- Jiaxi Peng
- Department of Chemistry, University of Toronto 80 St. George Street Toronto ON M5S 3H6 Canada +1-416-946-3865 +1-416-946-3866
- Donnelly Centre for Cellular and Biomolecular Research, University of Toronto 160 College Street Toronto ON M5S 3E1 Canada
- Institute of Biomedical Engineering, University of Toronto 164 College Street Toronto ON M5S 3G9 Canada
| | - Calvin Chan
- Department of Chemistry, University of Toronto 80 St. George Street Toronto ON M5S 3H6 Canada +1-416-946-3865 +1-416-946-3866
| | - Shuailong Zhang
- Department of Chemistry, University of Toronto 80 St. George Street Toronto ON M5S 3H6 Canada +1-416-946-3865 +1-416-946-3866
- School of Mechatronical Engineering, Beijing Institute of Technology Beijing 100081 China
- Beijing Advanced Innovation Center for Intelligent Robots and Systems, Beijing Institute of Technology Beijing 100081 China
| | - Alexandros A Sklavounos
- Department of Chemistry, University of Toronto 80 St. George Street Toronto ON M5S 3H6 Canada +1-416-946-3865 +1-416-946-3866
- Donnelly Centre for Cellular and Biomolecular Research, University of Toronto 160 College Street Toronto ON M5S 3E1 Canada
| | - Maxwell E Olson
- Department of Chemistry, University of Toronto 80 St. George Street Toronto ON M5S 3H6 Canada +1-416-946-3865 +1-416-946-3866
| | - Erica Y Scott
- Department of Chemistry, University of Toronto 80 St. George Street Toronto ON M5S 3H6 Canada +1-416-946-3865 +1-416-946-3866
- Donnelly Centre for Cellular and Biomolecular Research, University of Toronto 160 College Street Toronto ON M5S 3E1 Canada
- Institute of Biomedical Engineering, University of Toronto 164 College Street Toronto ON M5S 3G9 Canada
| | - Yechen Hu
- Department of Chemistry, University of Toronto 80 St. George Street Toronto ON M5S 3H6 Canada +1-416-946-3865 +1-416-946-3866
- Donnelly Centre for Cellular and Biomolecular Research, University of Toronto 160 College Street Toronto ON M5S 3E1 Canada
- Institute of Biomedical Engineering, University of Toronto 164 College Street Toronto ON M5S 3G9 Canada
| | - Vigneshwar Rajesh
- Department of Chemistry, University of Toronto 80 St. George Street Toronto ON M5S 3H6 Canada +1-416-946-3865 +1-416-946-3866
| | - Bingyu B Li
- Donnelly Centre for Cellular and Biomolecular Research, University of Toronto 160 College Street Toronto ON M5S 3E1 Canada
- Institute of Biomedical Engineering, University of Toronto 164 College Street Toronto ON M5S 3G9 Canada
| | - M Dean Chamberlain
- Department of Chemistry, University of Toronto 80 St. George Street Toronto ON M5S 3H6 Canada +1-416-946-3865 +1-416-946-3866
- Donnelly Centre for Cellular and Biomolecular Research, University of Toronto 160 College Street Toronto ON M5S 3E1 Canada
- Institute of Biomedical Engineering, University of Toronto 164 College Street Toronto ON M5S 3G9 Canada
- Saskatchewan Cancer Agency, University of Saskatchewan 107 Wiggins Road Saskatoon SK S7N 5E5 Canada
| | - Shen Zhang
- Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital 600 University Avenue Toronto ON M5G 1X5 Canada
- Clinical Research Center for Reproduction and Genetics in Hunan Province, Reproductive and Genetic Hospital of CITIC-XIANGYA Changsha Hunan 410000 China
| | - Hui Peng
- Department of Chemistry, University of Toronto 80 St. George Street Toronto ON M5S 3H6 Canada +1-416-946-3865 +1-416-946-3866
- School of Environment, University of Toronto 33 Willcocks Street Toronto ON M5S 3E8 Canada
| | - Aaron R Wheeler
- Department of Chemistry, University of Toronto 80 St. George Street Toronto ON M5S 3H6 Canada +1-416-946-3865 +1-416-946-3866
- Donnelly Centre for Cellular and Biomolecular Research, University of Toronto 160 College Street Toronto ON M5S 3E1 Canada
- Institute of Biomedical Engineering, University of Toronto 164 College Street Toronto ON M5S 3G9 Canada
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11
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Veličković M, Fillmore TL, Attah K, Posso C, Pino JC, Zhao R, Williams SM, Veličković D, Jacobs JM, Burnum-Johnson KE, Zhu Y, Piehowski PD. Coupling microdroplet-based sample preparation, multiplexed isobaric labeling, and nanoflow peptide fractionation for deep proteome profiling of tissue microenvironment. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.03.13.531822. [PMID: 36993277 PMCID: PMC10055005 DOI: 10.1101/2023.03.13.531822] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/19/2023]
Abstract
There is increasing interest in developing in-depth proteomic approaches for mapping tissue heterogeneity at a cell-type-specific level to better understand and predict the function of complex biological systems, such as human organs. Existing spatially resolved proteomics technologies cannot provide deep proteome coverages due to limited sensitivity and poor sample recovery. Herein, we seamlessly combined laser capture microdissection with a low-volume sample processing technology that includes a microfluidic device named microPOTS (Microdroplet Processing in One pot for Trace Samples), the multiplexed isobaric labelling, and a nanoflow peptide fractionation approach. The integrated workflow allowed to maximize proteome coverage of laser-isolated tissue samples containing nanogram proteins. We demonstrated the deep spatial proteomics can quantify more than 5,000 unique proteins from a small-sized human pancreatic tissue pixel (∼60,000 µm2) and reveal unique islet microenvironments.
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12
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Zhao H, Chen Y, Li H, Zhang Y, Zhang W, Qin W. An angled-shape tip-based strategy for highly sensitive proteomic profiling of a low number of cells. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2023; 15:1215-1222. [PMID: 36804579 DOI: 10.1039/d2ay01884e] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
Profiling proteins plays an essential role in understanding the functions and dynamic networks in biological systems. Mass spectrometry-based proteomic analysis commonly requires multistep sample processing, which results in severe sample loss. Although the recently developed microproteomic strategies have substantially reduced sample loss via droplet microfluidic technology, specialized equipment and well-trained personnel are needed, which may limit their wide adoption. Here, we report an angled-shape tip-based strategy for rapid sample preparation and sensitive proteomic profiling of small cell populations (<1000 cells). The angled-shape tip provided a 'reactor' for the entire proteomic sample processing workflow, from cell capture and lysis to protein digestion, eliminating the sample transfer-induced protein loss. The angled-shape tip was surface-treated for anti-protein adsorption which further reduced the sample loss. Using this strategy, 1241 ± 38-4110 ± 37 protein groups and 4010 ± 700-34 879 ± 575 peptides were identified from 10-1000 HeLa cells with high quantification reproducibility in only 4.5 h sample processing time, which was superior to the reported methods and commercial kits, especially for <100 cells. This approach was easily accessible, straightforward to operate, and compatible with flow cytometry-based cell sorting. It showed great potential for in-depth proteomic profiling of rare cells (<1000 cells) in both basic biological research and clinical application.
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Affiliation(s)
- Hongxian Zhao
- National Center for Protein Sciences Beijing, State Key Laboratory of Proteomics, Beijing Proteome Research Center, Beijing Institute of Lifeomics, Beijing 102206, P. R. China.
| | - Yongle Chen
- National Center for Protein Sciences Beijing, State Key Laboratory of Proteomics, Beijing Proteome Research Center, Beijing Institute of Lifeomics, Beijing 102206, P. R. China.
| | - Hang Li
- School of Medical Technology, Beijing Institute of Technology, Beijing 100081, P. R. China
| | - Yangjun Zhang
- National Center for Protein Sciences Beijing, State Key Laboratory of Proteomics, Beijing Proteome Research Center, Beijing Institute of Lifeomics, Beijing 102206, P. R. China.
| | - Wanjun Zhang
- National Center for Protein Sciences Beijing, State Key Laboratory of Proteomics, Beijing Proteome Research Center, Beijing Institute of Lifeomics, Beijing 102206, P. R. China.
| | - Weijie Qin
- National Center for Protein Sciences Beijing, State Key Laboratory of Proteomics, Beijing Proteome Research Center, Beijing Institute of Lifeomics, Beijing 102206, P. R. China.
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13
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Xu X, Cai L, Liang S, Zhang Q, Lin S, Li M, Yang Q, Li C, Han Z, Yang C. Digital microfluidics for biological analysis and applications. LAB ON A CHIP 2023; 23:1169-1191. [PMID: 36644972 DOI: 10.1039/d2lc00756h] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
Digital microfluidics (DMF) is an emerging liquid-handling technology based on arrays of microelectrodes for the precise manipulation of discrete droplets. DMF offers the benefits of automation, addressability, integration and dynamic configuration ability, and provides enclosed picoliter-to-microliter reaction space, making it suitable for lab-on-a-chip biological analysis and applications that require high integration and intricate processes. A review of DMF bioassays with a special emphasis on those actuated by electrowetting on dielectric (EWOD) force is presented here. Firstly, a brief introduction is presented on both the theory of EWOD actuation and the types of droplet motion. Subsequently, a comprehensive overview of DMF-based biological analysis and applications, including nucleic acid, protein, immunoreaction and cell assays, is provided. Finally, a discussion on the strengths, challenges, and potential applications and perspectives in this field is presented.
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Affiliation(s)
- Xing Xu
- The MOE Key Laboratory of Spectrochemical Analysis & Instrumentation, The Key Laboratory of Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials, Department of Chemical Biology, Department of Chemical Engineering, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China.
| | - Linfeng Cai
- The MOE Key Laboratory of Spectrochemical Analysis & Instrumentation, The Key Laboratory of Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials, Department of Chemical Biology, Department of Chemical Engineering, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China.
| | - Shanshan Liang
- The MOE Key Laboratory of Spectrochemical Analysis & Instrumentation, The Key Laboratory of Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials, Department of Chemical Biology, Department of Chemical Engineering, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China.
| | - Qiannan Zhang
- The MOE Key Laboratory of Spectrochemical Analysis & Instrumentation, The Key Laboratory of Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials, Department of Chemical Biology, Department of Chemical Engineering, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China.
| | - Shiyan Lin
- The MOE Key Laboratory of Spectrochemical Analysis & Instrumentation, The Key Laboratory of Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials, Department of Chemical Biology, Department of Chemical Engineering, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China.
| | - Mingying Li
- The MOE Key Laboratory of Spectrochemical Analysis & Instrumentation, The Key Laboratory of Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials, Department of Chemical Biology, Department of Chemical Engineering, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China.
| | - Qizheng Yang
- The MOE Key Laboratory of Spectrochemical Analysis & Instrumentation, The Key Laboratory of Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials, Department of Chemical Biology, Department of Chemical Engineering, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China.
| | - Chong Li
- The MOE Key Laboratory of Spectrochemical Analysis & Instrumentation, The Key Laboratory of Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials, Department of Chemical Biology, Department of Chemical Engineering, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China.
| | - Ziyan Han
- The MOE Key Laboratory of Spectrochemical Analysis & Instrumentation, The Key Laboratory of Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials, Department of Chemical Biology, Department of Chemical Engineering, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China.
| | - Chaoyong Yang
- The MOE Key Laboratory of Spectrochemical Analysis & Instrumentation, The Key Laboratory of Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials, Department of Chemical Biology, Department of Chemical Engineering, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China.
- Institute of Molecular Medicine, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China
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14
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Tong Z, Shen C, Li Q, Yin H, Mao H. Combining sensors and actuators with electrowetting-on-dielectric (EWOD): advanced digital microfluidic systems for biomedical applications. Analyst 2023; 148:1399-1421. [PMID: 36752059 DOI: 10.1039/d2an01707e] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/09/2023]
Abstract
The concept of digital microfluidics (DMF) enables highly flexible and precise droplet manipulation at a picoliter scale, making DMF a promising approach to realize integrated, miniaturized "lab-on-a-chip" (LOC) systems for research and clinical purposes. Owing to its simplicity and effectiveness, electrowetting-on-dielectric (EWOD) is one of the most commonly studied and applied effects to implement DMF. However, complex biomedical assays usually require more sophisticated sample handling and detection capabilities than basic EWOD manipulation. Alternatively, combined systems integrating EWOD actuators and other fluidic handling techniques are essential for bringing DMF into practical use. In this paper, we briefly review the main approaches for the integration/combination of EWOD with other microfluidic manipulation methods or additional external fields for specified biomedical applications. The form of integration ranges from independently operating sub-systems to fully coupled hybrid actuators. The corresponding biomedical applications of these works are also summarized to illustrate the significance of these innovative combination attempts.
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Affiliation(s)
- Zhaoduo Tong
- State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China. .,Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Chuanjie Shen
- State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China. .,Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Qiushi Li
- State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China.
| | - Hao Yin
- State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China. .,Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Hongju Mao
- State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China.
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15
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Macdonald B, Zhang C, Chen Z, Tuteja A. Polysiloxane-Based Liquid-like Layers for Reducing Polymer and Wax Fouling. LANGMUIR : THE ACS JOURNAL OF SURFACES AND COLLOIDS 2023; 39:274-284. [PMID: 36583570 DOI: 10.1021/acs.langmuir.2c02489] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
Surface fouling occurs when undesired matter adheres and accumulates on a surface, resulting in a decrease or loss of functionality. Polymer and wax fouling can cause costly blockages to crude oil pipelines, clog jet fuel injectors, foul chemical reaction vessels, and significantly decrease the efficiency of heat exchangers. Fouling occurs in many forms but can be segmented based on adherent size, modulus, and chemical functionality. Depending on the foulant, surface design strategies can vary greatly. Few strategies exist to prevent the buildup of wax and polymers on surfaces. In this report, we investigate the potential of highly disordered, siloxane liquid-like layers as a strategy for reducing wax and polymer deposition. In our tests, it was found that the liquid-like layers developed here were able to reduce postadsorption roughness for polymer and wax by as much as 35- and 47-fold, respectively, when compared to the control. SFG was utilized to investigate the molecular-level interfacial properties for each of the modified surfaces to help understand the antifouling mechanism. The data showed that the likely higher grafting density and a large degree of random conformational freedom at the liquid-surface interface make the developed siloxane-covered surfaces energetically unfavorable for polymer and wax accretion.
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Affiliation(s)
- Brian Macdonald
- Department of Materials Science and Engineering, University of Michigan, Ann Arbor, Michigan 48109, United States
- Biointerfaces Institute, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Chengcheng Zhang
- Department of Chemistry, University of Michigan, 930 North University Avenue, Ann Arbor, Michigan 48109, United States
| | - Zhan Chen
- Department of Chemistry, University of Michigan, 930 North University Avenue, Ann Arbor, Michigan 48109, United States
| | - Anish Tuteja
- Department of Materials Science and Engineering, University of Michigan, Ann Arbor, Michigan 48109, United States
- Biointerfaces Institute, University of Michigan, Ann Arbor, Michigan 48109, United States
- Department of Chemical Engineering, University of Michigan, Ann Arbor, Michigan 48109, United States
- Department of Macromolecular Science and Engineering, University of Michigan, Ann Arbor, Michigan 48109, United States
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16
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Xu X, Zhang Q, Li M, Lin S, Liang S, Cai L, Zhu H, Su R, Yang C. Microfluidic single‐cell multiomics analysis. VIEW 2022. [DOI: 10.1002/viw.20220034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/05/2022] Open
Affiliation(s)
- Xing Xu
- Department of Chemical Biology, College of Chemistry and Chemical Engineering The First Affiliated Hospital of Xiamen UniversityXiamen University Xiamen China
| | - Qiannan Zhang
- Department of Chemical Biology, College of Chemistry and Chemical Engineering The First Affiliated Hospital of Xiamen UniversityXiamen University Xiamen China
| | - Mingyin Li
- Department of Chemical Biology, College of Chemistry and Chemical Engineering The First Affiliated Hospital of Xiamen UniversityXiamen University Xiamen China
| | - Shiyan Lin
- Department of Chemical Biology, College of Chemistry and Chemical Engineering The First Affiliated Hospital of Xiamen UniversityXiamen University Xiamen China
| | - Shanshan Liang
- Department of Chemical Biology, College of Chemistry and Chemical Engineering The First Affiliated Hospital of Xiamen UniversityXiamen University Xiamen China
| | - Linfeng Cai
- Department of Chemical Biology, College of Chemistry and Chemical Engineering The First Affiliated Hospital of Xiamen UniversityXiamen University Xiamen China
| | - Huanghuang Zhu
- Department of Chemical Biology, College of Chemistry and Chemical Engineering The First Affiliated Hospital of Xiamen UniversityXiamen University Xiamen China
| | - Rui Su
- Department of Chemical Biology, College of Chemistry and Chemical Engineering The First Affiliated Hospital of Xiamen UniversityXiamen University Xiamen China
| | - Chaoyong Yang
- Department of Chemical Biology, College of Chemistry and Chemical Engineering The First Affiliated Hospital of Xiamen UniversityXiamen University Xiamen China
- Institute of Molecular Medicine Renji Hospital Shanghai Jiao Tong University School of Medicine Shanghai China
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17
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Kwon Y, Piehowski PD, Zhao R, Sontag RL, Moore RJ, Burnum-Johnson KE, Smith RD, Qian WJ, Kelly RT, Zhu Y. Hanging drop sample preparation improves sensitivity of spatial proteomics. LAB ON A CHIP 2022; 22:2869-2877. [PMID: 35838077 PMCID: PMC9320080 DOI: 10.1039/d2lc00384h] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Accepted: 07/08/2022] [Indexed: 06/15/2023]
Abstract
Spatial proteomics holds great promise for revealing tissue heterogeneity in both physiological and pathological conditions. However, one significant limitation of most spatial proteomics workflows is the requirement of large sample amounts that blurs cell-type-specific or microstructure-specific information. In this study, we developed an improved sample preparation approach for spatial proteomics and integrated it with our previously-established laser capture microdissection (LCM) and microfluidics sample processing platform. Specifically, we developed a hanging drop (HD) method to improve the sample recovery by positioning a nanowell chip upside-down during protein extraction and tryptic digestion steps. Compared with the commonly-used sitting-drop method, the HD method keeps the tissue pixel away from the container surface, and thus improves the accessibility of the extraction/digestion buffer to the tissue sample. The HD method can increase the MS signal by 7 fold, leading to a 66% increase in the number of identified proteins. An average of 721, 1489, and 2521 proteins can be quantitatively profiled from laser-dissected 10 μm-thick mouse liver tissue pixels with areas of 0.0025, 0.01, and 0.04 mm2, respectively. The improved system was further validated in the study of cell-type-specific proteomes of mouse uterine tissues.
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Affiliation(s)
- Yumi Kwon
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, 902 Battelle Boulevard, Richland, WA 99354, USA.
| | - Paul D Piehowski
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, 902 Battelle Boulevard, Richland, WA 99354, USA.
| | - Rui Zhao
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, 902 Battelle Boulevard, Richland, WA 99354, USA.
| | - Ryan L Sontag
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Ronald J Moore
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Kristin E Burnum-Johnson
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, 902 Battelle Boulevard, Richland, WA 99354, USA.
| | - Richard D Smith
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Wei-Jun Qian
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Ryan T Kelly
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, 902 Battelle Boulevard, Richland, WA 99354, USA.
- Department of Chemistry and Biochemistry, Brigham Young University, C100 BNSN, Provo, UT 84602, USA
| | - Ying Zhu
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, 902 Battelle Boulevard, Richland, WA 99354, USA.
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18
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Steinbach MK, Leipert J, Blurton C, Leippe M, Tholey A. Digital Microfluidics Supported Microproteomics for Quantitative Proteome Analysis of Single Caenorhabditis elegans Nematodes. J Proteome Res 2022; 21:1986-1996. [PMID: 35771142 DOI: 10.1021/acs.jproteome.2c00274] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Miniaturization of sample preparation, including omissible manual sample handling steps, is key for reproducible nanoproteomics, as material is often restricted to only hundreds of cells or single model organisms. Here, we demonstrate a highly sensitive digital microfluidics (DMF)-based sample preparation workflow making use of single-pot solid-phase enhanced sample preparation (SP3) in combination with high-field asymmetric-waveform ion mobility spectrometry (FAIMS), and fast and sensitive ion trap detection on an Orbitrap tribrid MS system. Compared to a manual in-tube SP3-supported sample preparation, the numbers of identified peptides and proteins were markedly increased, while lower standard deviations between replicates were observed. We repeatedly identified up to 5000 proteins from single nematodes. Moreover, label-free quantification of protein changes in single Caenorhabditis elegans treated with a heat stimulus yielded 45 differentially abundant proteins when compared to the untreated control, highlighting the potential of this technology for low-input proteomics studies. LC-MS data have been deposited to the ProteomeXchange Consortium with the data set identifier PXD033143.
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Affiliation(s)
- Max K Steinbach
- Systematic Proteome Research & Bioanalytics, Institute for Experimental Medicine, Christian-Albrechts-Universität zu Kiel, 24105 Kiel, Germany
| | - Jan Leipert
- Systematic Proteome Research & Bioanalytics, Institute for Experimental Medicine, Christian-Albrechts-Universität zu Kiel, 24105 Kiel, Germany
| | - Christine Blurton
- Comparative Immunobiology, Zoological Institute, Christian-Albrechts-Universität zu Kiel, 24098 Kiel, Germany
| | - Matthias Leippe
- Comparative Immunobiology, Zoological Institute, Christian-Albrechts-Universität zu Kiel, 24098 Kiel, Germany
| | - Andreas Tholey
- Systematic Proteome Research & Bioanalytics, Institute for Experimental Medicine, Christian-Albrechts-Universität zu Kiel, 24105 Kiel, Germany
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19
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Das A, Weise C, Polack M, Urban RD, Krafft B, Hasan S, Westphal H, Warias R, Schmidt S, Gulder T, Belder D. On-the-Fly Mass Spectrometry in Digital Microfluidics Enabled by a Microspray Hole: Toward Multidimensional Reaction Monitoring in Automated Synthesis Platforms. J Am Chem Soc 2022; 144:10353-10360. [PMID: 35640072 DOI: 10.1021/jacs.2c01651] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
We report an approach for the online coupling of digital microfluidics (DMF) with mass spectrometry (MS) using a chip-integrated microspray hole (μSH). The technique uses an adapted electrostatic spray ionization (ESTASI) method to spray a portion of a sample droplet through a microhole in the cover plate, allowing its chemical content to be analyzed by MS. This eliminates the need for chip disassembly or the introduction of capillary emitters for MS analysis, as required by state-of-the-art. For the first time, this allows the essential advantage of a DMF device─free droplet movement─to be retained during MS analysis. The broad applicability of the developed seamless coupling of DMF and mass spectrometry was successfully applied to the study of various on-chip organic syntheses as well as protein and peptide analysis. In the case of a Hantzsch synthesis, we were able to show that the method is very well suited for monitoring even rapid chemical reactions that are completed in a few seconds. In addition, the strength of the low resource consumption in such on-chip microsyntheses was demonstrated by the example of enzymatic brominations, for which only a minute amount of a special haloperoxidase is required in the droplet. The unique selling point of this approach is that the analyzed droplet remains completely movable after the MS measurement and is available for subsequent on-DMF chip processes. This is illustrated here for the example of MS analysis of the starting materials in the corresponding droplets before they are combined to investigate the reaction progress by DMF-MS further. This technology enables the ongoing and almost unlimited tracking of multistep chemical processes in a DMF chip and offers exciting prospects for transforming digital microfluidics into automated synthesis platforms.
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Affiliation(s)
- Anish Das
- Institute of Analytical Chemistry, Leipzig University, Linnéstraße 3, 04103 Leipzig, Germany
| | - Chris Weise
- Institute of Analytical Chemistry, Leipzig University, Linnéstraße 3, 04103 Leipzig, Germany
| | - Matthias Polack
- Institute of Analytical Chemistry, Leipzig University, Linnéstraße 3, 04103 Leipzig, Germany
| | - Raphael D Urban
- Institute of Analytical Chemistry, Leipzig University, Linnéstraße 3, 04103 Leipzig, Germany
| | - Benjamin Krafft
- Institute of Analytical Chemistry, Leipzig University, Linnéstraße 3, 04103 Leipzig, Germany
| | - Sadat Hasan
- Institute of Analytical Chemistry, Leipzig University, Linnéstraße 3, 04103 Leipzig, Germany
| | - Hannes Westphal
- Institute of Analytical Chemistry, Leipzig University, Linnéstraße 3, 04103 Leipzig, Germany
| | - Rico Warias
- Institute of Analytical Chemistry, Leipzig University, Linnéstraße 3, 04103 Leipzig, Germany
| | - Simon Schmidt
- Institute of Organic Chemistry, Leipzig University, Johannisallee 29, 04103 Leipzig, Germany
| | - Tanja Gulder
- Institute of Organic Chemistry, Leipzig University, Johannisallee 29, 04103 Leipzig, Germany
| | - Detlev Belder
- Institute of Analytical Chemistry, Leipzig University, Linnéstraße 3, 04103 Leipzig, Germany
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20
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Li W, Chaihu L, Jiang J, Wu B, Zheng X, Dai R, Tian Y, Huang Y, Wang G, Men Y. Microfluidic Platform for Time-Resolved Characterization of Protein Higher-Order Structures and Dynamics Using Top-Down Mass Spectrometry. Anal Chem 2022; 94:7520-7527. [PMID: 35584038 DOI: 10.1021/acs.analchem.2c00077] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Characterization of protein higher-order structures and dynamics is essential for understanding the biological functions of proteins and revealing the underlying mechanisms. Top-down mass spectrometry (MS) accesses structural information at both the intact protein level and the peptide fragment level. Native top-down MS allows analysis of a protein complex's architecture and subunits' identity and modifications. Top-down hydrogen/deuterium exchange (HDX) MS offers high spatial resolution for conformational or binding interface analysis and enables conformer-specific characterization. A microfluidic chip can provide superior performance for front-end reactions useful for these MS workflows, such as flexibility in manipulating multiple reactant flows, integrating various functional modules, and automation. However, most microchip-MS devices are designed for bottom-up approaches or top-down proteomics. Here, we demonstrate a strategy for designing a microchip for top-down MS analysis of protein higher-order structures and dynamics. It is suitable for time-resolved native MS and HDX MS, with designs aiming for efficient ionization of intact protein complexes, flexible manipulation of multiple reactant flows, and precise control of reaction times over a broad range of flow rates on the submicroliter per minute scale. The performance of the prototype device is demonstrated by measurements of systems including monoclonal antibodies, antibody-antigen complexes, and coexisting protein conformers. This strategy may benefit elaborate structural analysis of biomacromolecules and inspire method development using the microchip-MS approach.
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Affiliation(s)
- Wen Li
- Research Center for Biomedical Optics and Molecular Imaging, Institute of Biomedical and Health Engineering, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Lingxiao Chaihu
- School of Chemistry and Materials Science, Nanjing Normal University, Nanjing 210023, China.,Institute of Cell Analysis, Shenzhen Bay Laboratory, Shenzhen 518132, China
| | - Jialu Jiang
- School of Chemistry and Materials Science, Nanjing Normal University, Nanjing 210023, China
| | - Bizhu Wu
- Research Center for Biomedical Optics and Molecular Imaging, Institute of Biomedical and Health Engineering, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Xuan Zheng
- Research Center for Biomedical Optics and Molecular Imaging, Institute of Biomedical and Health Engineering, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Rongrong Dai
- School of Chemistry and Materials Science, Nanjing Normal University, Nanjing 210023, China
| | - Ye Tian
- Institute of Cell Analysis, Shenzhen Bay Laboratory, Shenzhen 518132, China
| | - Yanyi Huang
- Institute of Cell Analysis, Shenzhen Bay Laboratory, Shenzhen 518132, China.,Biomedical Pioneering Innovation Centre, Peking University, Beijing 100871, China
| | - Guanbo Wang
- Institute of Cell Analysis, Shenzhen Bay Laboratory, Shenzhen 518132, China.,Biomedical Pioneering Innovation Centre, Peking University, Beijing 100871, China
| | - Yongfan Men
- Research Center for Biomedical Optics and Molecular Imaging, Institute of Biomedical and Health Engineering, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
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21
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Gebreyesus ST, Siyal AA, Kitata RB, Chen ESW, Enkhbayar B, Angata T, Lin KI, Chen YJ, Tu HL. Streamlined single-cell proteomics by an integrated microfluidic chip and data-independent acquisition mass spectrometry. Nat Commun 2022; 13:37. [PMID: 35013269 PMCID: PMC8748772 DOI: 10.1038/s41467-021-27778-4] [Citation(s) in RCA: 94] [Impact Index Per Article: 47.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2021] [Accepted: 11/24/2021] [Indexed: 12/27/2022] Open
Abstract
Single-cell proteomics can reveal cellular phenotypic heterogeneity and cell-specific functional networks underlying biological processes. Here, we present a streamlined workflow combining microfluidic chips for all-in-one proteomic sample preparation and data-independent acquisition (DIA) mass spectrometry (MS) for proteomic analysis down to the single-cell level. The proteomics chips enable multiplexed and automated cell isolation/counting/imaging and sample processing in a single device. Combining chip-based sample handling with DIA-MS using project-specific mass spectral libraries, we profile on average ~1,500 protein groups across 20 single mammalian cells. Applying the chip-DIA workflow to profile the proteomes of adherent and non-adherent malignant cells, we cover a dynamic range of 5 orders of magnitude with good reproducibility and <16% missing values between runs. Taken together, the chip-DIA workflow offers all-in-one cell characterization, analytical sensitivity and robustness, and the option to add additional functionalities in the future, thus providing a basis for advanced single-cell proteomics applications.
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Affiliation(s)
- Sofani Tafesse Gebreyesus
- Institute of Chemistry, Academia Sinica, Taipei, 11529, Taiwan
- Nano Science and Technology Program, Taiwan International Graduate Program, Academia Sinica, Taipei, 11529, Taiwan
- Department of Chemistry, National Taiwan University, Taipei, 10617, Taiwan
| | - Asad Ali Siyal
- Institute of Chemistry, Academia Sinica, Taipei, 11529, Taiwan
- Chemical Biology and Molecular Biophysics Program, Taiwan International Graduate Program, Academia Sinica, Taipei, 11529, Taiwan
- Department of Chemistry, National Tsing Hua University, Hsinchu, 30013, Taiwan
| | | | | | - Bayarmaa Enkhbayar
- Chemical Biology and Molecular Biophysics Program, Taiwan International Graduate Program, Academia Sinica, Taipei, 11529, Taiwan
- Institute of Biological Chemistry, Academia Sinica, Taipei, 11529, Taiwan
| | - Takashi Angata
- Institute of Biological Chemistry, Academia Sinica, Taipei, 11529, Taiwan
| | - Kuo-I Lin
- Genomics Research Center, Academia Sinica, Taipei, 11529, Taiwan
| | - Yu-Ju Chen
- Institute of Chemistry, Academia Sinica, Taipei, 11529, Taiwan.
- Department of Chemistry, National Taiwan University, Taipei, 10617, Taiwan.
- Chemical Biology and Molecular Biophysics Program, Taiwan International Graduate Program, Academia Sinica, Taipei, 11529, Taiwan.
- Genome and Systems Biology Degree Program, Academia Sinica and National Taiwan University, Taipei, 10617, Taiwan.
| | - Hsiung-Lin Tu
- Institute of Chemistry, Academia Sinica, Taipei, 11529, Taiwan.
- Nano Science and Technology Program, Taiwan International Graduate Program, Academia Sinica, Taipei, 11529, Taiwan.
- Chemical Biology and Molecular Biophysics Program, Taiwan International Graduate Program, Academia Sinica, Taipei, 11529, Taiwan.
- Genome and Systems Biology Degree Program, Academia Sinica and National Taiwan University, Taipei, 10617, Taiwan.
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22
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López-Lorente ÁI, Pena-Pereira F, Pedersen-Bjergaard S, Zuin VG, Ozkan SA, Psillakis E. The Ten Principles of Green Sample Preparation. Trends Analyt Chem 2022. [DOI: 10.1016/j.trac.2022.116530] [Citation(s) in RCA: 49] [Impact Index Per Article: 24.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
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23
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Liu Y, Jeraldo P, Mendes-Soares H, Masters T, Asangba AE, Nelson H, Patel R, Chia N, Walther-Antonio M. Amplification of Femtograms of Bacterial DNA Within 3 h Using a Digital Microfluidics Platform for MinION Sequencing. ACS OMEGA 2021; 6:25642-25651. [PMID: 34632220 PMCID: PMC8495859 DOI: 10.1021/acsomega.1c03683] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Accepted: 09/10/2021] [Indexed: 05/25/2023]
Abstract
Whole genome sequencing is emerging as a promising tool for the untargeted detection of a broad range of microbial species for diagnosis and analysis. However, it is logistically challenging to perform the multistep process from sample preparation to DNA amplification to sequencing and analysis within a short turnaround time. To address this challenge, we developed a digital microfluidic device for rapid whole genome amplification of low-abundance bacterial DNA and compared results with conventional in-tube DNA amplification. In this work, we chose Corynebacterium glutamicum DNA as a bacterial target for method development and optimization, as it is not a common contaminant. Sequencing was performed in a hand-held Oxford Nanopore Technologies MinION sequencer. Our results show that using an in-tube amplification approach, at least 1 pg starting DNA is needed to reach the amount required for successful sequencing within 2 h. While using a digital microfluidic device, it is possible to amplify as low as 10 fg of C. glutamicum DNA (equivalent to the amount of DNA within a single bacterial cell) within 2 h and to identify the target bacterium within 30 min of MinION sequencing-100× lower than the detection limit of an in-tube amplification approach. We demonstrate the detection of C. glutamicum DNA in a mock community DNA sample and characterize the limit of bacterial detection in the presence of human cells. This approach can be used to identify microbes with minute amounts of genetic material in samples depleted of human cells within 3 h.
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Affiliation(s)
- Yuguang Liu
- Department
of Surgery, Division of Surgical Research, Mayo Clinic, Rochester, Minnesota 55905-0002, United States
- Microbiome
Program, Center for Individualized Medicine, Mayo Clinic, Rochester, Minnesota 55905-0002, United States
- Department
of Immunology, Mayo Clinic, Rochester, Minnesota 55905-0002, United States
| | - Patricio Jeraldo
- Department
of Surgery, Division of Surgical Research, Mayo Clinic, Rochester, Minnesota 55905-0002, United States
- Microbiome
Program, Center for Individualized Medicine, Mayo Clinic, Rochester, Minnesota 55905-0002, United States
| | - Helena Mendes-Soares
- Microbiome
Program, Center for Individualized Medicine, Mayo Clinic, Rochester, Minnesota 55905-0002, United States
| | - Thao Masters
- Division
of Clinical Microbiology, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota 55905-0002, United States
| | - Abigail E. Asangba
- Department
of Surgery, Division of Surgical Research, Mayo Clinic, Rochester, Minnesota 55905-0002, United States
- Microbiome
Program, Center for Individualized Medicine, Mayo Clinic, Rochester, Minnesota 55905-0002, United States
| | - Heidi Nelson
- Department
of Surgery, Division of Surgical Research, Mayo Clinic, Rochester, Minnesota 55905-0002, United States
- Microbiome
Program, Center for Individualized Medicine, Mayo Clinic, Rochester, Minnesota 55905-0002, United States
| | - Robin Patel
- Division
of Clinical Microbiology, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota 55905-0002, United States
- Division
of Infectious Diseases, Department of Medicine, Mayo Clinic, Rochester, Minnesota 55905-0002, United States
| | - Nicholas Chia
- Department
of Surgery, Division of Surgical Research, Mayo Clinic, Rochester, Minnesota 55905-0002, United States
- Microbiome
Program, Center for Individualized Medicine, Mayo Clinic, Rochester, Minnesota 55905-0002, United States
| | - Marina Walther-Antonio
- Department
of Surgery, Division of Surgical Research, Mayo Clinic, Rochester, Minnesota 55905-0002, United States
- Microbiome
Program, Center for Individualized Medicine, Mayo Clinic, Rochester, Minnesota 55905-0002, United States
- Department
of Obstetrics and Gynecology, Mayo Clinic, Rochester, Minnesota 55905-0002, United States
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24
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Alidoust M, Baharfar M, Manouchehri M, Yamini Y, Tajik M, Seidi S. Emergence of microfluidic devices in sample extraction; an overview of diverse methodologies, principals, and recent advancements. Trends Analyt Chem 2021. [DOI: 10.1016/j.trac.2021.116352] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
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25
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Kassem S, van der Pan K, de Jager AL, Naber BAE, de Laat IF, Louis A, van Dongen JJM, Teodosio C, Díez P. Proteomics for Low Cell Numbers: How to Optimize the Sample Preparation Workflow for Mass Spectrometry Analysis. J Proteome Res 2021; 20:4217-4230. [PMID: 34328739 PMCID: PMC8419858 DOI: 10.1021/acs.jproteome.1c00321] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Indexed: 12/20/2022]
Abstract
Nowadays, massive genomics and transcriptomics data can be generated at the single-cell level. However, proteomics in this setting is still a big challenge. Despite the great improvements in sensitivity and performance of mass spectrometry instruments and the better knowledge on sample preparation processing, it is widely acknowledged that multistep proteomics workflows may lead to substantial sample loss, especially when working with paucicellular samples. Still, in clinical fields, frequently limited sample amounts are available for downstream analysis, thereby hampering comprehensive characterization at protein level. To aim at better protein and peptide recoveries, we compare existing and novel approaches in the multistep sample preparation protocols for mass spectrometry studies, from sample collection, cell lysis, protein quantification, and electrophoresis/staining to protein digestion, peptide recovery, and LC-MS/MS instruments. From this critical evaluation, we conclude that the recent innovations and technologies, together with high quality management of samples, make proteomics on paucicellular samples possible, which will have immediate impact for the proteomics community.
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Affiliation(s)
- Sara Kassem
- Department
of Immunology, Leiden University Medical
Center (LUMC), Albinusdreef 2, 2333ZA Leiden, Netherlands
| | - Kyra van der Pan
- Department
of Immunology, Leiden University Medical
Center (LUMC), Albinusdreef 2, 2333ZA Leiden, Netherlands
| | - Anniek L. de Jager
- Department
of Immunology, Leiden University Medical
Center (LUMC), Albinusdreef 2, 2333ZA Leiden, Netherlands
| | - Brigitta A. E. Naber
- Department
of Immunology, Leiden University Medical
Center (LUMC), Albinusdreef 2, 2333ZA Leiden, Netherlands
| | - Inge F. de Laat
- Department
of Immunology, Leiden University Medical
Center (LUMC), Albinusdreef 2, 2333ZA Leiden, Netherlands
| | - Alesha Louis
- Department
of Immunology, Leiden University Medical
Center (LUMC), Albinusdreef 2, 2333ZA Leiden, Netherlands
| | - Jacques J. M. van Dongen
- Department
of Immunology, Leiden University Medical
Center (LUMC), Albinusdreef 2, 2333ZA Leiden, Netherlands
| | - Cristina Teodosio
- Department
of Immunology, Leiden University Medical
Center (LUMC), Albinusdreef 2, 2333ZA Leiden, Netherlands
| | - Paula Díez
- Department
of Immunology, Leiden University Medical
Center (LUMC), Albinusdreef 2, 2333ZA Leiden, Netherlands
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26
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Cheng H, Liu H, Li W, Li M. Recent advances in magnetic digital microfluidic platforms. Electrophoresis 2021; 42:2329-2346. [PMID: 34196022 DOI: 10.1002/elps.202100088] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Revised: 06/22/2021] [Accepted: 06/25/2021] [Indexed: 12/14/2022]
Abstract
Magnetic Digital microfluidics (DMF), which enables the manipulation of droplets containing different types of samples and reagents by permanent magnets or electromagnet arrays, has been used as a promising platform technology for bioanalytical and preparative assays. This is due to its unique advantages such as simple and "power free" operation, easy assembly, great compatibility with auto control systems, and dual functionality of magnetic particles (actuation and target attachment). Over the past decades, magnetic DMF technique has gained a widespread attention in many fields such as sample-to-answer molecular diagnostics, immunoassays, cell assays, on-demand chemical synthesis, and single-cell manipulation. In the first part of this review, we summarised features of magnetic DMF. Then, we introduced the actuation mechanisms and fabrication of magnetic DMF. Furthermore, we discussed five main applications of magnetic DMF, namely drug screening, protein assays, polymerase chain reaction (PCR), cell manipulation, and chemical analysis and synthesis. In the last part of the review, current challenges and limitations with magnetic DMF technique were discussed, such as biocompatibility, automation of microdroplet control systems, and microdroplet evaporation, with an eye on towards future development.
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Affiliation(s)
- Hao Cheng
- Laboratoire de Thermique et Energie de Nantes (LTEN), UMR CNRS 6607, Polytech' Nantes-Université de Nantes, Nantes Cedex 03, France.,School of Mechanical, Materials, Mechatronic and Biomedical Engineering, University of Wollongong, Wollongong, Australia
| | - Hangrui Liu
- Department of Physics and Astronomy, Macquarie University, Sydney, New South Wales, Australia
| | - Weihua Li
- School of Mechanical, Materials, Mechatronic and Biomedical Engineering, University of Wollongong, Wollongong, Australia
| | - Ming Li
- School of Engineering, Macquarie University, Sydney, New South Wales, Australia.,Biomolecular Discovery Research Centre, Macquarie University, Sydney, New South Wales, Australia
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27
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Pirog A, Faktor J, Urban-Wojciuk Z, Kote S, Chruściel E, Arcimowicz Ł, Marek-Trzonkowska N, Vojtesek B, Hupp TR, Al Shboul S, Brennan PM, Smoleński RT, Goodlett DR, Dapic I. Comparison of different digestion methods for proteomic analysis of isolated cells and FFPE tissue samples. Talanta 2021; 233:122568. [PMID: 34215064 DOI: 10.1016/j.talanta.2021.122568] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Revised: 05/22/2021] [Accepted: 05/26/2021] [Indexed: 12/14/2022]
Abstract
Proteomics of human tissues and isolated cellular subpopulations create new opportunities for therapy and monitoring of a patients' treatment in the clinic. Important considerations in such analysis include recovery of adequate amounts of protein for analysis and reproducibility in sample collection. In this study we compared several protocols for proteomic sample preparation: i) filter-aided sample preparation (FASP), ii) in-solution digestion (ISD) and iii) a pressure-assisted digestion (PCT) method. PCT method is known for already a decade [1], however it is not widely used in proteomic research. We assessed protocols for proteome profiling of isolated immune cell subsets and formalin-fixed paraffin embedded (FFPE) tissue samples. Our results show that the ISD method has very good efficiency of protein and peptide identification from the whole proteome, while the FASP method is particularly effective in identification of membrane proteins. Pressure-assisted digestion methods generally provide lower numbers of protein/peptide identifications, but have gained in popularity due to their shorter digestion time making them considerably faster than for ISD or FASP. Furthermore, PCT does not result in substantial sample loss when applied to samples of 50 000 cells. Analysis of FFPE tissues shows comparable results. ISD method similarly yields the highest number of identifications. Furthermore, proteins isolated from FFPE samples show a significant reduction of cleavages at lysine sites due to chemical modifications with formaldehyde-such as methylation (+14 Da) being among the most common. The data we present will be helpful for making decisions about the robust preparation of clinical samples for biomarker discovery and studies on pathomechanisms of various diseases.
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Affiliation(s)
- Artur Pirog
- International Centre for Cancer Vaccine Science, University of Gdansk, Kładki 24, 80-822, Gdańsk, Poland
| | - Jakub Faktor
- International Centre for Cancer Vaccine Science, University of Gdansk, Kładki 24, 80-822, Gdańsk, Poland
| | - Zuzanna Urban-Wojciuk
- International Centre for Cancer Vaccine Science, University of Gdansk, Kładki 24, 80-822, Gdańsk, Poland
| | - Sachin Kote
- International Centre for Cancer Vaccine Science, University of Gdansk, Kładki 24, 80-822, Gdańsk, Poland
| | - Elżbieta Chruściel
- International Centre for Cancer Vaccine Science, University of Gdansk, Kładki 24, 80-822, Gdańsk, Poland
| | - Łukasz Arcimowicz
- International Centre for Cancer Vaccine Science, University of Gdansk, Kładki 24, 80-822, Gdańsk, Poland
| | - Natalia Marek-Trzonkowska
- International Centre for Cancer Vaccine Science, University of Gdansk, Kładki 24, 80-822, Gdańsk, Poland; Laboratory of Immunoregulation and Cellular Therapies, Department of Family Medicine, Medical University of Gdańsk, Dębinki 2, 80-210, Gdańsk, Poland
| | - Borek Vojtesek
- Research Centre for Applied Molecular Oncology (RECAMO), Masaryk Memorial Cancer Institute, 656 53, Brno, Czech Republic
| | - Ted R Hupp
- International Centre for Cancer Vaccine Science, University of Gdansk, Kładki 24, 80-822, Gdańsk, Poland; Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, Scotland, EH4 2XR, United Kingdom
| | - Sofian Al Shboul
- Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, Scotland, EH4 2XR, United Kingdom; Department of Basic Medical Sciences, Faculty of Medicine, The Hashemite University, Zarqa, Jordan
| | - Paul M Brennan
- Translational Neurosurgery, Centre for Clinical Brain Sciences, Bioquarter, University of Edinburgh, Edinburgh, UK
| | | | - David R Goodlett
- International Centre for Cancer Vaccine Science, University of Gdansk, Kładki 24, 80-822, Gdańsk, Poland; Department of Biochemistry and Microbiology, University of Victoria, Victoria, British Columbia, V8P 5C2, Canada
| | - Irena Dapic
- International Centre for Cancer Vaccine Science, University of Gdansk, Kładki 24, 80-822, Gdańsk, Poland.
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28
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Vitorino R, Guedes S, da Costa JP, Kašička V. Microfluidics for Peptidomics, Proteomics, and Cell Analysis. NANOMATERIALS (BASEL, SWITZERLAND) 2021; 11:1118. [PMID: 33925983 PMCID: PMC8145566 DOI: 10.3390/nano11051118] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/13/2021] [Revised: 04/20/2021] [Accepted: 04/23/2021] [Indexed: 12/18/2022]
Abstract
Microfluidics is the advanced microtechnology of fluid manipulation in channels with at least one dimension in the range of 1-100 microns. Microfluidic technology offers a growing number of tools for manipulating small volumes of fluid to control chemical, biological, and physical processes relevant to separation, analysis, and detection. Currently, microfluidic devices play an important role in many biological, chemical, physical, biotechnological and engineering applications. There are numerous ways to fabricate the necessary microchannels and integrate them into microfluidic platforms. In peptidomics and proteomics, microfluidics is often used in combination with mass spectrometric (MS) analysis. This review provides an overview of using microfluidic systems for peptidomics, proteomics and cell analysis. The application of microfluidics in combination with MS detection and other novel techniques to answer clinical questions is also discussed in the context of disease diagnosis and therapy. Recent developments and applications of capillary and microchip (electro)separation methods in proteomic and peptidomic analysis are summarized. The state of the art of microchip platforms for cell sorting and single-cell analysis is also discussed. Advances in detection methods are reported, and new applications in proteomics and peptidomics, quality control of peptide and protein pharmaceuticals, analysis of proteins and peptides in biomatrices and determination of their physicochemical parameters are highlighted.
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Affiliation(s)
- Rui Vitorino
- UnIC, Departamento de Cirurgia e Fisiologia, Faculdade de Medicina da Universidade do Porto, 4785-999 Porto, Portugal
- iBiMED, Department of Medical Sciences, University of Aveiro, 00351234 Aveiro, Portugal
- LAQV/REQUIMTE, Department of Chemistry, University of Aveiro, 00351234 Aveiro, Portugal;
| | - Sofia Guedes
- LAQV/REQUIMTE, Department of Chemistry, University of Aveiro, 00351234 Aveiro, Portugal;
| | - João Pinto da Costa
- Department of Chemistry & Center for Environmental and Marine Studies (CESAM), University of Aveiro, 00351234 Aveiro, Portugal;
| | - Václav Kašička
- Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences, Flemigovo n. 542/2, 166 10 Prague 6, Czech Republic
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29
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Leipert J, Steinbach MK, Tholey A. Isobaric Peptide Labeling on Digital Microfluidics for Quantitative Low Cell Number Proteomics. Anal Chem 2021; 93:6278-6286. [PMID: 33823593 DOI: 10.1021/acs.analchem.1c01205] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Digital microfluidics (DMF) is a technology suitable for bioanalytical applications requiring miniaturized, automated, and multiplexed liquid handling. Its use in LC-MS-based proteomics, however, has so far been limited to qualitative proteome analyses. This is mainly due to the need for detergents that enable facile, reproducible droplet movement, which are compatible with organic solvents commonly used in targeted chemical modifications of peptides. Aiming to implement isobaric peptide labeling, a widely applied technique allowing multiplexed quantitative proteome studies, on DMF devices, we tested different commercially available detergents. We identified the maltoside-based detergent 3-dodecyloxypropyl-1-β-d-maltopyranoside (DDOPM) to enable facile droplet movement and show micelle formation even in the presence of organic solvent, which is necessary for isobaric tandem mass tag (TMT) labeling. The detergent is fully compatible with reversed phase LC-MS, not interfering with peptide identification. Tryptic digestion in the presence of DDOPM was more efficient than without detergent, resulting in more protein identifications. Using this detergent, we report the first on-DMF chip isobaric labeling strategy, with TMT-labeling efficiency comparable to conventional protocols. The newly developed labeling protocol was evaluated in the multiplexed analyses of a protein standard digest spiked into 25 cells. Finally, using only 75 cells per biological replicate, we were able to identify 39 proteins being differentially abundant after treatment of Jurkat T cells with the anticancer drug doxorubicin. In summary, we demonstrate an important step toward multiplexed quantitative proteomics on DMF, which, in combination with larger chip arrays and optimized hardware, could enable high throughput low cell number proteomics.
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Affiliation(s)
- Jan Leipert
- Systematic Proteome Research & Bioanalytics, Institute for Experimental Medicine, Christian-Albrechts-Universität zu Kiel, Kiel 24105, Germany
| | - Max K Steinbach
- Systematic Proteome Research & Bioanalytics, Institute for Experimental Medicine, Christian-Albrechts-Universität zu Kiel, Kiel 24105, Germany
| | - Andreas Tholey
- Systematic Proteome Research & Bioanalytics, Institute for Experimental Medicine, Christian-Albrechts-Universität zu Kiel, Kiel 24105, Germany
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30
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Kostas JC, Greguš M, Schejbal J, Ray S, Ivanov AR. Simple and Efficient Microsolid-Phase Extraction Tip-Based Sample Preparation Workflow to Enable Sensitive Proteomic Profiling of Limited Samples (200 to 10,000 Cells). J Proteome Res 2021; 20:1676-1688. [PMID: 33625864 PMCID: PMC7954648 DOI: 10.1021/acs.jproteome.0c00890] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
In-depth LC-MS-based proteomic profiling of limited biological and clinical samples, such as rare cells or tissue sections from laser capture microdissection or microneedle biopsies, has been problematic due, in large, to the inefficiency of sample preparation and attendant sample losses. To address this issue, we developed on-microsolid-phase extraction tip (OmSET)-based sample preparation for limited biological samples. OmSET is simple, efficient, reproducible, and scalable and is a widely accessible method for processing ∼200 to 10,000 cells. The developed method benefits from minimal sample processing volumes (1-3 μL) and conducting all sample processing steps on-membrane within a single microreactor. We first assessed the feasibility of using micro-SPE tips for nanogram-level amounts of tryptic peptides, minimized the number of required sample handling steps, and reduced the hands-on time. We then evaluated the capability of OmSET for quantitative analysis of low numbers of human monocytes. Reliable and reproducible label-free quantitation results were obtained with excellent correlations between protein abundances and the amounts of starting material (R2 = 0.93) and pairwise correlations between sample processing replicates (R2 = 0.95) along with the identification of approximately 300, 1800, and 2000 protein groups from injected ∼10, 100, and 500 cell equivalents, resulting from processing approximately 200, 2000, and 10,000 cells, respectively.
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Affiliation(s)
- James C Kostas
- Barnett Institute of Chemical and Biological Analysis, Department of Chemistry and Chemical Biology, Northeastern University, 360 Huntington Avenue, Boston, Massachusetts 02115, United States
| | - Michal Greguš
- Barnett Institute of Chemical and Biological Analysis, Department of Chemistry and Chemical Biology, Northeastern University, 360 Huntington Avenue, Boston, Massachusetts 02115, United States
| | - Jan Schejbal
- Barnett Institute of Chemical and Biological Analysis, Department of Chemistry and Chemical Biology, Northeastern University, 360 Huntington Avenue, Boston, Massachusetts 02115, United States
| | - Somak Ray
- Barnett Institute of Chemical and Biological Analysis, Department of Chemistry and Chemical Biology, Northeastern University, 360 Huntington Avenue, Boston, Massachusetts 02115, United States
| | - Alexander R Ivanov
- Barnett Institute of Chemical and Biological Analysis, Department of Chemistry and Chemical Biology, Northeastern University, 360 Huntington Avenue, Boston, Massachusetts 02115, United States
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31
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Alexovič M, Sabo J, Longuespée R. Microproteomic sample preparation. Proteomics 2021; 21:e2000318. [PMID: 33547857 DOI: 10.1002/pmic.202000318] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Revised: 01/23/2021] [Accepted: 01/27/2021] [Indexed: 12/11/2022]
Abstract
Multiple applications of proteomics in life and health science, pathology and pharmacology, require handling size-limited cell and tissue samples. During proteomic sample preparation, analyte loss in these samples arises when standard procedures are used. Thus, specific considerations have to be taken into account for processing, that are summarised under the term microproteomics (μPs). Microproteomic workflows include: sampling (e.g., flow cytometry, laser capture microdissection), sample preparation (possible disruption of cells or tissue pieces via lysis, protein extraction, digestion in bottom-up approaches, and sample clean-up) and analysis (chromatographic or electrophoretic separation, mass spectrometric measurements and statistical/bioinformatic evaluation). All these steps must be optimised to reach wide protein dynamic ranges and high numbers of identifications. Under optimal conditions, sampling is adapted to the studied sample types and nature, sample preparation isolates and enriches the whole protein content, clean-up removes salts and other interferences such as detergents or chaotropes, and analysis identifies as many analytes as the instrumental throughput and sensitivity allow. In the suggested review, we present and discuss the current state in μP applications for processing of small number of cells (cell μPs) and microscopic tissue regions (tissue μPs).
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Affiliation(s)
- Michal Alexovič
- Department of Medical and Clinical Biophysics, Faculty of Medicine, University of P.J. Šafárik in Košice, Košice, Slovakia
| | - Ján Sabo
- Department of Medical and Clinical Biophysics, Faculty of Medicine, University of P.J. Šafárik in Košice, Košice, Slovakia
| | - Rémi Longuespée
- Department of Clinical Pharmacology and Pharmacoepidemiology, Heidelberg University Hospital, Heidelberg, Germany
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32
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Construction of a microfluidic platform integrating online protein fractionation, denaturation, digestion, and peptide enrichment. Talanta 2021; 224:121810. [PMID: 33379035 DOI: 10.1016/j.talanta.2020.121810] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2020] [Revised: 10/19/2020] [Accepted: 10/23/2020] [Indexed: 11/22/2022]
Abstract
Microfluidic system with multi-functional integration of high-throughput protein/peptide separation ability has great potential for improving the identification capacity of biological samples in proteomics. In this paper, a sample treatment platform was constructed by integrating reversed phase chromatography, immobilized enzyme reactor (IMER) and imprinted monolith through a microfluidic chip to achieve the online proteins fractionation, denaturation, digestion and peptides enrichment. We firstly synthesized a poly-allyl phenoxyacetate (AP) monolith and a lysine-glycine-glycine (KGG) imprinted monolith separately, and investigated in detail their performance in fractionating proteins and extracting KGG from the protein digests of MCF-7 cell. The removal percentage of 94.6% for MCF-7 cell protein and the recovery of 90.8% for KGG were obtained. The number of proteins and peptides identified on this microfluidic platform was 2,004 and 8,797, respectively, which was 2.8-fold and 3.0-fold higher than that of untreatment sample. The time consumed by this platform for a sample treatment was about 9.6 h, less than that of conventional method (approximate 13.3 h). In addition, this platform can enrich some peptide fragments containing KGG based on imprinted monolith, which can be served for the identification of ubiquitin-modified proteomics. The successful construction of this integrated microfluidic platform provides a considerable and efficient technical tool for simultaneous identification of proteomics and post-translational modification proteomics information.
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Zhang M, Zhang X, Niu P, Shen T, Yuan Y, Bai Y, Wang Z. On-site low-power sensing nodes for distributed monitoring of heavy metal ions in water. NANOTECHNOLOGY AND PRECISION ENGINEERING 2021. [DOI: 10.1063/10.0003511] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Affiliation(s)
- Menglun Zhang
- State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin 300072, China
| | - Xi Zhang
- State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin 300072, China
| | - Pengfei Niu
- State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin 300072, China
| | - Tao Shen
- School of Precision Instrument and Opto-Electronics Engineering, Tianjin University, Tianjin 300072, China
| | - Yi Yuan
- State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin 300072, China
| | - Yuantao Bai
- School of Precision Instrument and Opto-Electronics Engineering, Tianjin University, Tianjin 300072, China
| | - Zhilin Wang
- School of Precision Instrument and Opto-Electronics Engineering, Tianjin University, Tianjin 300072, China
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Abstract
Cell analysis is of great significance for the exploration of human diseases and health. However, there are not many techniques for high-throughput cell analysis in the simulated cell microenvironment. The high designability of the microfluidic chip enables multiple kinds of cells to be co-cultured on the chip, with other functions such as sample preprocessing and cell manipulation. Mass spectrometry (MS) can detect a large number of biomolecules without labelling. Therefore, the application of the microfluidic chip coupled with MS has represented a major branch of cell analysis over the past decades. Here, we concisely introduce various microfluidic devices coupled with MS used for cell analysis. The main functions of microfluidic devices are described first, followed by introductions of different interfaces with different types of MS. Then, their various applications in cell analysis are highlighted, with an emphasis on cell metabolism, drug screening, and signal transduction. Current limitations and prospective trends of microfluidics coupled with MS are discussed at the end.
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Affiliation(s)
- Wanling Zhang
- Department of Chemistry, Beijing Key Laboratory of Microanalytical Methods and Instrumentation, MOE Key Laboratory of Bioorganic Phosphorus Chemistry & Chemical Biology, Tsinghua University
| | - Qiang Zhang
- Department of Chemistry, Beijing Key Laboratory of Microanalytical Methods and Instrumentation, MOE Key Laboratory of Bioorganic Phosphorus Chemistry & Chemical Biology, Tsinghua University
| | - Jin-Ming Lin
- Department of Chemistry, Beijing Key Laboratory of Microanalytical Methods and Instrumentation, MOE Key Laboratory of Bioorganic Phosphorus Chemistry & Chemical Biology, Tsinghua University
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Gilquin B, Cubizolles M, Den Dulk R, Revol-Cavalier F, Alessio M, Goujon CE, Echampard C, Arrizabalaga G, Adrait A, Louwagie M, Laurent P, Navarro FP, Couté Y, Cosnier ML, Brun V. PepS: An Innovative Microfluidic Device for Bedside Whole Blood Processing before Plasma Proteomics Analyses. Anal Chem 2021; 93:683-690. [PMID: 33319979 DOI: 10.1021/acs.analchem.0c02270] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
Immunoassays have been used for decades in clinical laboratories to quantify proteins in serum and plasma samples. However, their limitations make them inappropriate in some cases. Recently, mass spectrometry (MS) based proteomics analysis has emerged as a promising alternative method when seeking to assess panels of protein biomarkers with a view to providing protein profiles to monitor health status. Up to now, however, translation of MS-based proteomics to the clinic has been hampered by its complexity and the substantial time and human resources necessary for sample preparation. Plasma matrix is particularly tricky to process as it contains more than 3000 proteins with concentrations spanning an extreme dynamic range (1010). To address this preanalytical challenge, we designed a microfluidic device (PepS) automating and accelerating blood sample preparation for bottom-up MS-based proteomics analysis. The microfluidic cartridge is operated through a dedicated compact instrument providing fully automated fluid processing and thermal control. In less than 2 h, the PepS device allows bedside plasma separation from whole blood, volume metering, depletion of albumin, protein digestion with trypsin, and stabilization of tryptic peptides on solid-phase extraction sorbent. For this first presentation, the performance of the PepS device was assessed using discovery proteomics and targeted proteomics, detecting a panel of three protein biomarkers routinely assayed in clinical laboratories (alanine aminotransferase 1, C-reactive protein, and myoglobin). This innovative microfluidic device and its associated instrumentation should help to streamline and simplify clinical proteomics studies.
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Affiliation(s)
- Benoit Gilquin
- Univ. Grenoble Alpes, CEA, LETI, Clinatec, F-38000 Grenoble, FRANCE.,Univ. Grenoble Alpes, CEA, Inserm, IRIG, BGE, EDyP, F-38000 Grenoble, FRANCE
| | - Myriam Cubizolles
- Univ. Grenoble Alpes, CEA, LETI, Technologies for Healthcare and Biology Division, Microfluidic Systems and Bioengineering Lab, F-38000 Grenoble, FRANCE
| | - Remco Den Dulk
- Univ. Grenoble Alpes, CEA, LETI, Technologies for Healthcare and Biology Division, Microfluidic Systems and Bioengineering Lab, F-38000 Grenoble, FRANCE
| | - Frédéric Revol-Cavalier
- Univ. Grenoble Alpes, CEA, LETI, Technologies for Healthcare and Biology Division, Microfluidic Systems and Bioengineering Lab, F-38000 Grenoble, FRANCE
| | - Manuel Alessio
- Univ. Grenoble Alpes, CEA, LETI, Technologies for Healthcare and Biology Division, Microfluidic Systems and Bioengineering Lab, F-38000 Grenoble, FRANCE
| | | | - Camille Echampard
- Univ. Grenoble Alpes, CEA, LETI, Technologies for Healthcare and Biology Division, Microfluidic Systems and Bioengineering Lab, F-38000 Grenoble, FRANCE
| | | | - Annie Adrait
- Univ. Grenoble Alpes, CEA, Inserm, IRIG, BGE, EDyP, F-38000 Grenoble, FRANCE
| | - Mathilde Louwagie
- Univ. Grenoble Alpes, CEA, Inserm, IRIG, BGE, EDyP, F-38000 Grenoble, FRANCE
| | - Patricia Laurent
- Univ. Grenoble Alpes, CEA, LETI, Technologies for Healthcare and Biology Division, Microfluidic Systems and Bioengineering Lab, F-38000 Grenoble, FRANCE
| | - Fabrice P Navarro
- Univ. Grenoble Alpes, CEA, LETI, Technologies for Healthcare and Biology Division, Microfluidic Systems and Bioengineering Lab, F-38000 Grenoble, FRANCE
| | - Yohann Couté
- Univ. Grenoble Alpes, CEA, Inserm, IRIG, BGE, EDyP, F-38000 Grenoble, FRANCE
| | - Marie-Line Cosnier
- Univ. Grenoble Alpes, CEA, LETI, Technologies for Healthcare and Biology Division, Microfluidic Systems and Bioengineering Lab, F-38000 Grenoble, FRANCE
| | - Virginie Brun
- Univ. Grenoble Alpes, CEA, Inserm, IRIG, BGE, EDyP, F-38000 Grenoble, FRANCE
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Aydoğan C, Rigano F, Krčmová LK, Chung DS, Macka M, Mondello L. Miniaturized LC in Molecular Omics. Anal Chem 2020; 92:11485-11497. [DOI: 10.1021/acs.analchem.0c01436] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Affiliation(s)
- Cemil Aydoğan
- Biochemistry Division, Department of Chemistry, Bingöl University, Bingöl 12000,Turkey
- Department of Food Engineering, Bingöl University, Bingöl 12000,Turkey
| | - Francesca Rigano
- Department of Chemical, Biological, Pharmaceutical and Environmental Sciences, University of Messina, Messina I-98168, Italy
| | - Lenka Kujovská Krčmová
- Department of Analytical Chemistry, Faculty of Pharmacy, Charles University, Akademika Heyrovského 1203, Hradec Králové 500 05, Czech Republic
- Department of Clinical Biochemistry and Diagnostics, University Hospital, Sokolská 581, Hradec Králové 500 05, Czech Republic
| | - Doo Soo Chung
- Department of Chemistry, Seoul National University, Seoul 08826, Korea
| | - Mirek Macka
- Department of Chemistry and Biochemistry, Mendel University in Brno, Zemedelska 1, CZ-613 00 Brno, Czech Republic
- Central European Institute of Technology, Brno University of Technology, Technicka 3058/10, CZ-616 00Brno, Czech Republic
- School of Natural Sciences and Australian Centre for Research on Separation Science (ACROSS), University of Tasmania, Private Bag 75, Hobart 7001, Australia
| | - Luigi Mondello
- Department of Chemical, Biological, Pharmaceutical and Environmental Sciences, University of Messina, Messina I-98168, Italy
- Chromaleont s.r.l., c/o Department of Chemical, Biological, Pharmaceutical and Environmental Sciences, University of Messina, Messina I-98168, Italy
- Department of Sciences and Technologies for Human and Environment, University Campus Bio-Medico of Rome, Rome I-00128, Italy
- BeSep s.r.l., c/o Department of Chemical, Biological, Pharmaceutical and Environmental Sciences, University of Messina, Messina I-98168, Italy
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Waas M, Kislinger T. Addressing Cellular Heterogeneity in Cancer through Precision Proteomics. J Proteome Res 2020; 19:3607-3619. [PMID: 32697918 DOI: 10.1021/acs.jproteome.0c00338] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Cells exhibit a broad spectrum of functions driven by differences in molecular phenotype. Understanding the heterogeneity between and within cell types has led to advances in our ability to diagnose and manipulate biological systems. Heterogeneity within and between tumors still poses a challenge to the development and efficacy of therapeutics. In this Perspective we review the toolkit of protein-level experimental approaches for investigating cellular heterogeneity. We describe how innovative approaches and technical developments have supported the advent of bottom-up single-cell proteomic analysis and present opportunities and challenges within cancer research. Finally, we introduce the concept of "precision proteomics" and discuss how the advantages and limitations of various experimental approaches render them suitable for different biological systems and questions.
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Zhou X, Xu Y, Zhu L, Su Z, Han X, Zhang Z, Huang Y, Liu Q. Comparison of Multiple Displacement Amplification (MDA) and Multiple Annealing and Looping-Based Amplification Cycles (MALBAC) in Limited DNA Sequencing Based on Tube and Droplet. MICROMACHINES 2020; 11:mi11070645. [PMID: 32610698 PMCID: PMC7407204 DOI: 10.3390/mi11070645] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/28/2020] [Revised: 06/25/2020] [Accepted: 06/26/2020] [Indexed: 01/04/2023]
Abstract
Whole genome amplification (WGA) is crucial for whole genome sequencing to investigate complex genomic alteration at the single-cell or even single-molecule level. Multiple displacement amplification (MDA) and multiple annealing and looping based amplification cycles (MALBAC) are two most widely applied WGA methods, which have different advantages and disadvantages, dependent on research objectives. Herein, we compared the MDA and MALBAC to provide more information on their performance in droplets and tubes. We observed that the droplet method could dramatically reduce the amplification bias and retain the high accuracy of replication than the conventional tube method. Furthermore, the droplet method exhibited higher efficiency and sensitivity for both homozygous and heterozygous single nucleotide variants (SNVs) at the low sequencing depth. In addition, we also found that MALBAC offered a greater uniformity and reproducibility and MDA showed a better efficiency of genomic coverage and SNV detection. Our results provided insights that will allow future decision making.
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Kothamachu VB, Zaini S, Muffatto F. Role of Digital Microfluidics in Enabling Access to Laboratory Automation and Making Biology Programmable. SLAS Technol 2020; 25:411-426. [PMID: 32584152 DOI: 10.1177/2472630320931794] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Digital microfluidics (DMF) is a liquid handling technique that has been demonstrated to automate biological experimentation in a low-cost, rapid, and programmable manner. This review discusses the role of DMF as a "digital bioconverter"-a tool to connect the digital aspects of the design-build-learn cycle with the physical execution of experiments. Several applications are reviewed to demonstrate the utility of DMF as a digital bioconverter, namely, genetic engineering, sample preparation for sequencing and mass spectrometry, and enzyme-, immuno-, and cell-based screening assays. These applications show that DMF has great potential in the role of a centralized execution platform in a fully integrated pipeline for the production of novel organisms and biomolecules. In this paper, we discuss how the function of a DMF device within such a pipeline is highly dependent on integration with different sensing techniques and methodologies from machine learning and big data. In addition to that, we examine how the capacity of DMF can in some cases be limited by known technical and operational challenges and how consolidated efforts in overcoming these challenges will be key to the development of DMF as a major enabling technology in the computer-aided biology framework.
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40
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Lu X, Wang Z, Gao Y, Chen W, Wang L, Huang P, Gao W, Ke M, He A, Tian R. AutoProteome Chip System for Fully Automated and Integrated Proteomics Sample Preparation and Peptide Fractionation. Anal Chem 2020; 92:8893-8900. [DOI: 10.1021/acs.analchem.0c00752] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Affiliation(s)
- Xue Lu
- Department of Chemistry, Southern University of Science and Technology, Shenzhen 518055, China
| | - Zhikun Wang
- Department of Chemistry, Southern University of Science and Technology, Shenzhen 518055, China
| | - Yan Gao
- Hochuen Medical Technology Co., Ltd., Shenzhen 518109, China
| | - Wendong Chen
- Department of Chemistry, Southern University of Science and Technology, Shenzhen 518055, China
| | - Lingjue Wang
- Department of Chemistry, Southern University of Science and Technology, Shenzhen 518055, China
| | - Peiwu Huang
- Department of Chemistry, Southern University of Science and Technology, Shenzhen 518055, China
| | - Weina Gao
- Department of Chemistry, Southern University of Science and Technology, Shenzhen 518055, China
| | - Mi Ke
- Department of Chemistry, Southern University of Science and Technology, Shenzhen 518055, China
| | - An He
- Department of Chemistry, Southern University of Science and Technology, Shenzhen 518055, China
| | - Ruijun Tian
- Department of Chemistry, Southern University of Science and Technology, Shenzhen 518055, China
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Ruvalcaba-Cardenas AD, Gomez RAR, Khoshmanesh K, Tovar-Lopez FJ. Magnetic actuation and deformation of a soft shuttle. BIOMICROFLUIDICS 2020; 14:034103. [PMID: 32477442 PMCID: PMC7237223 DOI: 10.1063/5.0008176] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/19/2020] [Accepted: 05/05/2020] [Indexed: 05/12/2023]
Abstract
Here, we describe the magnetic actuation of soft shuttles for open-top microfluidic applications. The system is comprised of two immiscible liquids, including glycerol as the soft shuttle and a suspension of iron powder in sucrose solution as the magnetic drop. Permanent magnets assembled on 3D printed motorized actuators were used for the actuation of the magnetic drop, enabling the glycerol shuttle to be propelled along customized linear, circular, and sinusoidal paths. The dynamics of the hybrid shuttle-magnetic drop system was governed by the magnetic force, the friction at the interface of the shuttle and the substrate, and the surface tension at the interface of the shuttle and the magnetic drop. Increasing the magnetic force leads to the localized deformation of the shuttle and eventually the full extraction of the magnetic drop. The versatility of the system was demonstrated through the propelling of the shuttle across a rough surface patterned with microfabricated barriers as well as taking advantage of the optical properties of the shuttle for the magnification and translation of microscale characters patterned on a planar surface. The integration of the system with current electrowetting actuation mechanisms enables the highly controlled motion of the magnetic drop on the surface of a moving shuttle. The simplicity, versatility, and controllability of the system provide opportunities for various fluid manipulation, sample preparation, and analysis for a range of chemical, biochemical, and biological applications.
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Affiliation(s)
- Ana Daysi Ruvalcaba-Cardenas
- School of Engineering, RMIT University, Melbourne, Victoria 3000, Australia
- Authors to whom correspondence should be addressed:; ; and
| | | | - Khashayar Khoshmanesh
- School of Engineering, RMIT University, Melbourne, Victoria 3000, Australia
- Authors to whom correspondence should be addressed:; ; and
| | - Francisco J. Tovar-Lopez
- School of Engineering, RMIT University, Melbourne, Victoria 3000, Australia
- Authors to whom correspondence should be addressed:; ; and
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42
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Evaluation and improvement of protein extraction methods for analysis of skin proteome by noninvasive tape stripping. J Proteomics 2020; 217:103678. [DOI: 10.1016/j.jprot.2020.103678] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2019] [Revised: 01/10/2020] [Accepted: 02/02/2020] [Indexed: 12/27/2022]
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43
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Zacchi LF, Recinos DR, Otte E, Aitken C, Hunt T, Sandford V, Lee YY, Schulz BL, Howard CB. S-Trap Eliminates Cell Culture Media Polymeric Surfactants for Effective Proteomic Analysis of Mammalian Cell Bioreactor Supernatants. J Proteome Res 2020; 19:2149-2158. [DOI: 10.1021/acs.jproteome.0c00106] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Lucia F. Zacchi
- ARC Training Centre for Biopharmaceutical Innovation, Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, St. Lucia, Queensland 4072, Australia
| | - Dinora Roche Recinos
- ARC Training Centre for Biopharmaceutical Innovation, Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, St. Lucia, Queensland 4072, Australia
- CSL Limited, Parkville, Victoria 3052, Australia
| | - Ellen Otte
- CSL Limited, Parkville, Victoria 3052, Australia
| | | | - Tony Hunt
- CSL Limited, Parkville, Victoria 3052, Australia
| | | | - Yih Yean Lee
- CSL Limited, Parkville, Victoria 3052, Australia
| | - Benjamin L. Schulz
- ARC Training Centre for Biopharmaceutical Innovation, Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, St. Lucia, Queensland 4072, Australia
- School of Chemistry and Molecular Biosciences, The University of Queensland, St. Lucia, Queensland 4072, Australia
| | - Christopher B. Howard
- ARC Training Centre for Biopharmaceutical Innovation, Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, St. Lucia, Queensland 4072, Australia
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Teclemariam ET, Pergande MR, Cologna SM. Considerations for mass spectrometry-based multi-omic analysis of clinical samples. Expert Rev Proteomics 2020; 17:99-107. [PMID: 31996049 DOI: 10.1080/14789450.2020.1724540] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Abstract
Introduction: The role of mass spectrometry in biomolecule analysis has become paramount over the last several decades ranging in the analysis across model systems and human specimens. Accordingly, the presence of mass spectrometers in clinical laboratories has also expanded alongside the number of researchers investigating the protein, lipid, and metabolite composition of an array of biospecimens. With this increase in the number of omic investigations, it is important to consider the entire experimental strategy from sample collection and storage, data collection and analysis.Areas covered: In this short review, we outline considerations for working with clinical (e.g. human) specimens including blood, urine, and cerebrospinal fluid, with emphasis on sample handling, profiling composition, targeted measurements and relevance to disease. Discussions of integrated genomic or transcriptomic datasets are not included. A brief commentary is also provided regarding new technologies with clinical relevance.Expert opinion: The role of mass spectrometry to investigate clinically related specimens is on the rise and the ability to integrate multiple omics datasets from mass spectrometry measurements will be crucial to further understanding human health and disease.
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Affiliation(s)
- Esei T Teclemariam
- Department of Chemistry, University of Illinois at Chicago, Chicago, IL, USA
| | - Melissa R Pergande
- Department of Chemistry, University of Illinois at Chicago, Chicago, IL, USA
| | - Stephanie M Cologna
- Department of Chemistry, University of Illinois at Chicago, Chicago, IL, USA.,Laboratory of Integrated Neuroscience, University of Illinois at Chicago, Chicago, IL, USA
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45
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Affiliation(s)
- Iulia M. Lazar
- Department of Biological Sciences, Academy of Integrated Sciences, Virginia Tech, Blacksburg, Virginia 24061, United States
- Carilion School of Medicine, Academy of Integrated Sciences, Virginia Tech, Blacksburg, Virginia 24061, United States
| | - Nicholas S. Gulakowski
- Systems Biology, Academy of Integrated Sciences, Virginia Tech, Blacksburg, Virginia 24061, United States
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