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Ott O, Tolppi S, Figueroa-Cruz J, Myagmar K, Unurbuyan K, Tripathi A. Leveraging the fundamentals of heat transfer and fluid mechanics in microscale geometries for automated next-generation sequencing library preparation. Sci Rep 2024; 14:12564. [PMID: 38822053 DOI: 10.1038/s41598-024-63014-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Accepted: 05/23/2024] [Indexed: 06/02/2024] Open
Abstract
Next-generation sequencing (NGS) is emerging as a powerful tool for molecular diagnostics but remains limited by cumbersome and inefficient sample preparation. We present an innovative automated NGS library preparation system with a simplified mechanical design that exploits both macro- and microfluidic properties for optimizing heat transfer, reaction kinetics, mass transfer, fluid mechanics, adsorption-desorption rates, and molecular thermodynamics. Our approach introduces a unique two-cannula cylindrical capillary system connected to a programmable syringe pump and a Peltier heating element able to execute all steps with high efficiency. Automatic reagent movement, mixing, and magnetic bead-based washing with capillary-based thermal cycling (capillary-PCR) are completely integrated into a single platform. The manual 3-h library preparation process is reduced to less than 15 min of hands-on time via optimally pre-plated reagent plates, followed by less than 6 h of instrument run time during which no user interaction is required. We applied this method to two library preparation assays with different DNA fragmentation requirements (mechanical vs. enzymatic fragmentation), sufficiently limiting consumable use to one cartridge and one 384 well-plate per run. Our platform successfully prepared eight libraries in parallel, generating sequencing data for both human and Escherichia coli DNA libraries with negligible coverage bias compared to positive controls. All sequencing data from our libraries attained Phred (Q) scores > 30, mapping to reference genomes at 99% confidence. The method achieved final library concentrations and size distributions comparable with the conventional manual approach, demonstrating compatibility with downstream sequencing and subsequent data analysis. Our engineering design offers repeatability and consistency in the quality of sequence-able libraries, asserting the importance of mechanical design considerations that employ and optimize fundamental fluid mechanics and heat transfer properties. Furthermore in this work, we provide unique insights into the mechanisms of sample loss within NGS library preparation assays compared with automated adaptations and pinpoint areas in which the principles of thermodynamics, fluid mechanics, and heat transfer can improve future mechanical design iterations.
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Affiliation(s)
- Olivia Ott
- Center for Biomedical Engineering, School of Engineering, Brown University, Providence, RI, USA
| | - Sabrina Tolppi
- Center for Biomedical Engineering, School of Engineering, Brown University, Providence, RI, USA
| | - Jennifer Figueroa-Cruz
- Center for Biomedical Engineering, School of Engineering, Brown University, Providence, RI, USA
| | - Khaliun Myagmar
- Center for Biomedical Engineering, School of Engineering, Brown University, Providence, RI, USA
| | - Khulan Unurbuyan
- Center for Biomedical Engineering, School of Engineering, Brown University, Providence, RI, USA
| | - Anubhav Tripathi
- Center for Biomedical Engineering, School of Engineering, Brown University, Providence, RI, USA.
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Munari E, Scarpa A, Cima L, Pozzi M, Pagni F, Vasuri F, Marletta S, Dei Tos AP, Eccher A. Cutting-edge technology and automation in the pathology laboratory. Virchows Arch 2024; 484:555-566. [PMID: 37930477 PMCID: PMC11062949 DOI: 10.1007/s00428-023-03637-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Revised: 08/18/2023] [Accepted: 08/25/2023] [Indexed: 11/07/2023]
Abstract
One of the goals of pathology is to standardize laboratory practices to increase the precision and effectiveness of diagnostic testing, which will ultimately enhance patient care and results. Standardization is crucial in the domains of tissue processing, analysis, and reporting. To enhance diagnostic testing, innovative technologies are also being created and put into use. Furthermore, although problems like algorithm training and data privacy issues still need to be resolved, digital pathology and artificial intelligence are emerging in a structured manner. Overall, for the field of pathology to advance and for patient care to be improved, standard laboratory practices and innovative technologies must be adopted. In this paper, we describe the state-of-the-art of automation in pathology laboratories in order to lead technological progress and evolution. By anticipating laboratory needs and demands, the aim is to inspire innovation tools and processes as positively transformative support for operators, organizations, and patients.
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Affiliation(s)
- Enrico Munari
- Pathology Unit, Department of Molecular and Translational Medicine, University of Brescia, Piazza Del Mercato, 15, 25121, Brescia, BS, Italy.
| | - Aldo Scarpa
- Pathology Unit, Department of Diagnostics and Public Health, University of Verona, Verona, Italy.
| | - Luca Cima
- Pathology Unit, Department of Laboratory Medicine, Santa Chiara Hospital, APSS, Trento, Italy
| | - Matteo Pozzi
- Bruno Kessler Foundation, Trento, Italy
- University of Trento, CIBIO Department, Trento, Italy
| | - Fabio Pagni
- Pathology Unit, Department of Medicine and Surgery, University of Milano-Bicocca, IRCCS Fondazione San Gerardo Dei Tintori, Monza, Italy
| | - Francesco Vasuri
- Pathology Unit, IRCCS, Azienda Ospedaliero-Universitaria Di Bologna, Bologna, Italy
| | - Stefano Marletta
- Pathology Unit, Department of Diagnostics and Public Health, University of Verona, Verona, Italy
- Department of Pathology, Pederzoli Hospital, Peschiera del Garda, Italy
| | - Angelo Paolo Dei Tos
- Surgical Pathology and Cytopathology Unit, Department of Medicine-DIMED, University of Padua School of Medicine, Padua, Italy
| | - Albino Eccher
- Section of Pathology, Department of Medical and Surgical Sciences for Children and Adults, University of Modena and Reggio Emilia, University Hospital of Modena, Modena, Italy
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Development and clinical applications of an enclosed automated targeted NGS library preparation system. Clin Chim Acta 2023; 540:117224. [PMID: 36627008 DOI: 10.1016/j.cca.2023.117224] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Revised: 12/09/2022] [Accepted: 01/05/2023] [Indexed: 01/09/2023]
Abstract
The rapid development of next-generation sequencing (NGS) technology has promoted its wide clinical application in precision medicine for oncology. However, laborious and time-consuming manual operations, highly skilled personnel requirements, and cross-contamination are major challenges for the clinical implementation of NGS technology-based tests. The Automated NGS Diagnostic Solutions (ANDiS) 500 system is a fully enclosed cassette-dependent automated NGS library preparation system. This platform could produce qualified targeted amplicon library in three steps with only 15 min of hands-on time. Rigorous cross-contamination test using simulated contaminant plasmids confirmed that the design of disposable cassette guarantees zero sample cross-contamination. The BRCA1 and BRCA2 mutation detection panel and gastrointestinal cancer-related gene analysis panel for the ANDiS 500 platform showed 100% accuracy and precision in detecting germ-line mutations and somatic mutations respectively. Furthermore, those panels showed 100% concordance with verified methods in a prospective cohort study enrolling 363 patients and a cohort of 45 pan-cancer samples. In conclusion, the ANDiS 500 automated platform could overcome major challenges for implementing NGS assays clinically and is eligible for routine clinical tests.
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Zimmerman Zuckerman E, Thompson JA, Schneider AR, Campion MB, Johns JJ, Stier TJ, Peterson LM, Ward AM, Blommel JH, Gnanaolivu RD, Lauer KP, Sivasankaran G, Balan J, Dasari S, Sakai Y, Marcou CA, Zheng G, Halling KC, Shen W, Viswanatha DS, Niu Z. Automation of hybridization and capture based next generation sequencing library preparation requires reduction of on-deck bead binding and heated wash temperatures. SLAS Technol 2022; 27:214-218. [DOI: 10.1016/j.slast.2021.10.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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Russo A, Incorvaia L, Capoluongo E, Tagliaferri P, Gori S, Cortesi L, Genuardi M, Turchetti D, De Giorgi U, Di Maio M, Barberis M, Dessena M, Del Re M, Lapini A, Luchini C, Jereczek-Fossa BA, Sapino A, Cinieri S. Implementation of preventive and predictive BRCA testing in patients with breast, ovarian, pancreatic, and prostate cancer: a position paper of Italian Scientific Societies. ESMO Open 2022; 7:100459. [PMID: 35597177 PMCID: PMC9126927 DOI: 10.1016/j.esmoop.2022.100459] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Revised: 02/22/2022] [Accepted: 03/02/2022] [Indexed: 12/11/2022] Open
Abstract
Constitutional BRCA1/BRCA2 pathogenic or likely pathogenic variants (PVs) are associated with an increased risk for developing breast and ovarian cancers. Current evidence indicates that BRCA1/2 PVs are also associated with pancreatic cancer, and that BRCA2 PVs are associated with prostate cancer risk. The identification of carriers of constitutional PVs in the BRCA1/2 genes allows the implementation of individual and family prevention pathways, through validated screening programs and risk-reducing strategies. According to the relevant and increasing therapeutic predictive implications, the inclusion of BRCA testing in the routine management of patients with breast, ovarian, pancreatic and prostate cancers represent a key requirement to optimize medical or surgical therapeutic and prevention decision-making, and access to specific anticancer therapies. Therefore, accurate patient selection, the use of standardized and harmonized procedures, and adherence to homogeneous testing criteria, are essential elements to implement BRCA testing in clinical practice. This consensus position paper has been developed and approved by a multidisciplinary Expert Panel of 64 professionals on behalf of the AIOM–AIRO–AISP–ANISC–AURO–Fondazione AIOM–SIAPEC/IAP–SIBioC–SICO–SIF–SIGE–SIGU–SIU–SIURO–UROP Italian Scientific Societies, and a patient association (aBRCAdaBRA Onlus). The working group included medical, surgical and radiation oncologists, medical and molecular geneticists, clinical molecular biologists, surgical and molecular pathologists, organ specialists such as gynecologists, gastroenterologists and urologists, and pharmacologists. The manuscript is based on the expert consensus and reports the best available evidence, according to the current eligibility criteria for BRCA testing and counseling, it also harmonizes with current Italian National Guidelines and Clinical Recommendations. The rapid technologic and medical progress on BRCA-related cancers produced a clinical need for BRCA testing optimization. To incorporate BRCA testing in the routine management is a key requirement to help medical or surgical decision-making Standardized procedures and harmonized testing criteria are needed to implement BRCA testing in clinical practice. Adequate training and qualification for multidisciplinary team members are crucial for the success of the patient care path.
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Affiliation(s)
- A Russo
- Department of Surgical, Oncological and Oral Sciences, Section of Medical Oncology, University of Palermo, Palermo, Italy.
| | - L Incorvaia
- Department of Surgical, Oncological and Oral Sciences, Section of Medical Oncology, University of Palermo, Palermo, Italy
| | - E Capoluongo
- Department of Molecular Medicine and Medical Biotechnology, "Federico II" University of Naples, Naples, Italy; Department of Clinical Pathology- Cannizzaro Hospital, Catania, Italy
| | - P Tagliaferri
- Medical and Translational Oncology Unit, Department of Experimental and Clinical Medicine, Magna Graecia University, Catanzaro, Italy
| | - S Gori
- Department of Oncology, IRCCS Ospedale Sacro Cuore Don Calabria, Negrar di Valpolicella, Italy
| | - L Cortesi
- Department of Oncology and Hematology, Azienda Ospedaliero-Universitaria di Modena, Modena, Italy
| | - M Genuardi
- University Hospital Foundation "A. Gemelli", IRCCS - Medical Genetics Unit, Rome, Italy; Section of Genomic Medicine, Department of Life Sciences and Public Health, Catholic University Sacro Cuore, Rome, Italy
| | - D Turchetti
- Department of Medical and Surgical Sciences, Center for Studies on Hereditary Cancer, University of Bologna, Bologna, Italy; Unit of Medical Genetics, IRCCS Azienda Ospedaliero-Universitaria of Bologna, Bologna, Italy
| | - U De Giorgi
- Department of Medical Oncology, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori", Meldola, Italy
| | - M Di Maio
- Department of Oncology, University of Turin, Division of Medical Oncology, Ordine Mauriziano Hospital, Turin, Italy
| | - M Barberis
- Unit of Histopathology and Molecular Diagnostics, Division of Pathology and Laboratory Medicine, IEO, European Institute of Oncology, IRCCS, Milan, Italy
| | - M Dessena
- S.C. Experimental Surgery, Oncology Hospital, Brotzu Hospital, Cagliari, Italy
| | - M Del Re
- Unit of Clinical Pharmacology and Pharmacogenetics, Department of Clinical and Experimental Medicine, University Hospital of Pisa, Pisa, Italy
| | - A Lapini
- Department of Urology, University of Florence, University Hospital of Florence, Florence, Italy
| | - C Luchini
- Department of Diagnostics and Public Health, Section of Pathology, University and Hospital Trust of Verona, Verona, Italy; ARC-Net Research Center, University and Hospital Trust of Verona, Verona, Italy
| | - B A Jereczek-Fossa
- Division of Radiation Oncology, IEO, European Institute of Oncology IRCCS, Milan, Italy; Department of Oncology and Hemato-oncology, University of Milan, Milan, Italy
| | - A Sapino
- Candiolo Cancer Institute, FPO-IRCCS Candiolo, Candiolo, Italy; Department of Medical Sciences, University of Torino, Torino, Italy
| | - S Cinieri
- Medical Oncology Division and Breast Unit, Senatore Antonio Perrino Hospital, ASL Brindisi, Brindisi, Italy
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Tenedini E, Celestini F, Iapicca P, Marino M, Castellano S, Artuso L, Biagiarelli F, Cortesi L, Toss A, Barbieri E, Roncucci L, Pedroni M, Manfredini R, Luppi M, Trenti T, Tagliafico E. Automated capture-based NGS workflow: one thousand patients experience in a clinical routine framework. ACTA ACUST UNITED AC 2021; 9:115-122. [PMID: 34142509 DOI: 10.1515/dx-2021-0051] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2021] [Accepted: 05/12/2021] [Indexed: 12/23/2022]
Abstract
OBJECTIVES The Next Generation Sequencing (NGS) based mutational study of hereditary cancer genes is crucial to design tailored prevention strategies in subjects with different hereditary cancer risk. The ease of amplicon-based NGS library construction protocols contrasts with the greater uniformity of enrichment provided by capture-based protocols and so with greater chances for detecting larger genomic rearrangements and copy-number variations. Capture-based protocols, however, are characterized by a higher level of complexity of sample handling, extremely susceptible to human bias. Robotics platforms may definitely help dealing with these limits, reducing hands-on time, limiting random errors and guaranteeing process standardization. METHODS We implemented the automation of the CE-IVD SOPHiA Hereditary Cancer Solution™ (HCS) libraries preparation workflow by SOPHiA GENETICS on the Hamilton's STARlet platform. We present the comparison of results between this automated approach, used for more than 1,000 DNA patients' samples, and the performances of the manual protocol evaluated by SOPHiA GENETICS onto 240 samples summarized in their HCS evaluation study. RESULTS We demonstrate that this automated workflow achieved the same expected goals of manual setup in terms of coverages and reads uniformity, with extremely lower standard deviations among samples considering the sequencing reads mapped onto the regions of interest. CONCLUSIONS This automated solution offers same reliable and affordable NGS data, but with the essential advantages of a flexible, automated and integrated framework, minimizing possible human errors and depicting a laboratory's walk-away scenario.
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Affiliation(s)
- Elena Tenedini
- Department of Laboratory Medicine and Pathology, Diagnostic Hematology and Clinical Genomics Unit, Modena University Hospital, Modena, Italy
- Department of Medical and Surgical Sciences, University of Modena and Reggio Emilia, Modena, Italy
| | | | | | - Marco Marino
- Department of Laboratory Medicine and Pathology, Diagnostic Hematology and Clinical Genomics Unit, Modena University Hospital, Modena, Italy
| | - Sara Castellano
- Department of Medical and Surgical Sciences, University of Modena and Reggio Emilia, Modena, Italy
- PhD Program in Clinical and Experimental Medicine (CEM), University of Modena and Reggio Emilia, Modena, Italy
| | - Lucia Artuso
- Department of Laboratory Medicine and Pathology, Diagnostic Hematology and Clinical Genomics Unit, Modena University Hospital, Modena, Italy
| | | | - Laura Cortesi
- Department of Oncology and Hematology, Modena University Hospital, Modena, Italy
| | - Angela Toss
- Department of Oncology and Hematology, Modena University Hospital, Modena, Italy
- Department of Surgery, Medicine, Dentistry and Morphological Sciences with Transplant Surgery, Oncology and Regenerative Medicine Relevance, University of Modena and Reggio Emilia, Modena, Italy
| | - Elena Barbieri
- Department of Oncology and Hematology, Modena University Hospital, Modena, Italy
| | - Luca Roncucci
- Department of Medical and Surgical Sciences, University of Modena and Reggio Emilia, Modena, Italy
| | - Monica Pedroni
- Department of Medical and Surgical Sciences, University of Modena and Reggio Emilia, Modena, Italy
| | - Rossella Manfredini
- Life Sciences Department, University of Modena and Reggio Emilia, Centre for Regenerative Medicine, Modena, Italy
| | - Mario Luppi
- Department of Medical and Surgical Sciences, University of Modena and Reggio Emilia, Modena, Italy
- Department of Oncology and Hematology, Modena University Hospital, Modena, Italy
| | - Tommaso Trenti
- Department of Laboratory Medicine and Pathology, Diagnostic Hematology and Clinical Genomics Unit, Modena University Hospital, Modena, Italy
| | - Enrico Tagliafico
- Department of Laboratory Medicine and Pathology, Diagnostic Hematology and Clinical Genomics Unit, Modena University Hospital, Modena, Italy
- Department of Medical and Surgical Sciences, University of Modena and Reggio Emilia, Modena, Italy
- Center for Genome Research, University of Modena and Reggio Emilia, Modena, Italy
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