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Grozinger L, Cuevas-Zuviría B, Goñi-Moreno Á. Why cellular computations challenge our design principles. Semin Cell Dev Biol 2025; 171:103616. [PMID: 40311248 DOI: 10.1016/j.semcdb.2025.103616] [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: 01/29/2025] [Revised: 04/08/2025] [Accepted: 04/14/2025] [Indexed: 05/03/2025]
Abstract
Biological systems inherently perform computations, inspiring synthetic biologists to engineer biological systems capable of executing predefined computational functions for diverse applications. Typically, this involves applying principles from the design of conventional silicon-based computers to create novel biological systems, such as genetic Boolean gates and circuits. However, the natural evolution of biological computation has not adhered to these principles, and this distinction warrants careful consideration. Here, we explore several concepts connecting computational theory, living cells, and computers, which may offer insights into the development of increasingly sophisticated biological computations. While conventional computers approach theoretical limits, solving nearly all problems that are computationally solvable, biological computers have the opportunity to outperform them in specific niches and problem domains. Crucially, biocomputation does not necessarily need to scale to rival or replicate the capabilities of electronic computation. Rather, efforts to re-engineer biology must recognise that life has evolved and optimised itself to solve specific problems using its own principles. Consequently, intelligently designed cellular computations will diverge from traditional computing in both implementation and application.
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Affiliation(s)
- Lewis Grozinger
- Systems Biology Department, Centro Nacional de Biotecnologia (CNB), CSIC, Darwin 3, Madrid 28049, Spain
| | - Bruno Cuevas-Zuviría
- Centro de Biotecnologia y Genomica de Plantas (CBGP, UPM-INIA), Universidad Politecnica de Madrid (UPM), Instituto Nacional de Investigacion y Tecnologia Agraria y Alimentaria (INIA, CSIC), Campus de Montegancedo, Pozuelo de Alarcón, Madrid 28223, Spain
| | - Ángel Goñi-Moreno
- Systems Biology Department, Centro Nacional de Biotecnologia (CNB), CSIC, Darwin 3, Madrid 28049, Spain.
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Goldhawk DE, Lemaire C, McCreary CR, McGirr R, Dhanvantari S, Thompson RT, Figueredo R, Koropatnick J, Foster P, Prato FS. Magnetic Resonance Imaging of Cells Overexpressing MagA, an Endogenous Contrast Agent for Live Cell Imaging. Mol Imaging 2009. [DOI: 10.2310/7290.2009.00006] [Citation(s) in RCA: 40] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Molecular imaging with magnetic resonance imaging (MRI) may benefit from the ferrimagnetic properties of magnetosomes, membrane-enclosed iron biominerals whose formation in magnetotactic bacteria is encoded by multiple genes. One such gene is MagA, a putative iron transporter. We have examined expression of MagA in mouse neuroblastoma N2A cells and characterized their response to iron loading and cellular imaging by MRI. MagA expression augmented both Prussian blue staining and the elemental iron content of N2A cells, without altering cell proliferation, in cultures grown in the presence of iron supplements. Despite evidence for iron incorporation in both MagA and a variant, MagAE137V, only MagA expression produced intracellular contrast detectable by MRI at 11 Tesla. We used this stable expression system to model a new sequence for cellular imaging with MRI, using the difference between gradient and spin echo images to distinguish cells from artifacts in the field of view. Our results show that MagA activity in mammalian cells responds to iron supplementation and functions as a contrast agent that can be deactivated by a single point mutation. We conclude that MagA is a candidate MRI reporter gene that can exploit more fully the superior resolution of MRI in noninvasive medical imaging.
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Affiliation(s)
- Donna E. Goldhawk
- From the Imaging and Diabetes and Metabolism Programs, Lawson Health Research Institute, St. Joseph's Health Care, London, ON; Department of Physics and Astronomy, University of Waterloo, Waterloo, ON; Hotchkiss Brain Institute, University of Calgary, Calgary, AB; Departments of Medical Biophysics, Pathology and Medicine, and Medical Imaging, University of Western Ontario, London, ON; London Regional Cancer Program, London, ON; and Robarts Research Institute, University of Western Ontario, London, ON
| | - Claude Lemaire
- From the Imaging and Diabetes and Metabolism Programs, Lawson Health Research Institute, St. Joseph's Health Care, London, ON; Department of Physics and Astronomy, University of Waterloo, Waterloo, ON; Hotchkiss Brain Institute, University of Calgary, Calgary, AB; Departments of Medical Biophysics, Pathology and Medicine, and Medical Imaging, University of Western Ontario, London, ON; London Regional Cancer Program, London, ON; and Robarts Research Institute, University of Western Ontario, London, ON
| | - Cheryl R. McCreary
- From the Imaging and Diabetes and Metabolism Programs, Lawson Health Research Institute, St. Joseph's Health Care, London, ON; Department of Physics and Astronomy, University of Waterloo, Waterloo, ON; Hotchkiss Brain Institute, University of Calgary, Calgary, AB; Departments of Medical Biophysics, Pathology and Medicine, and Medical Imaging, University of Western Ontario, London, ON; London Regional Cancer Program, London, ON; and Robarts Research Institute, University of Western Ontario, London, ON
| | - Rebecca McGirr
- From the Imaging and Diabetes and Metabolism Programs, Lawson Health Research Institute, St. Joseph's Health Care, London, ON; Department of Physics and Astronomy, University of Waterloo, Waterloo, ON; Hotchkiss Brain Institute, University of Calgary, Calgary, AB; Departments of Medical Biophysics, Pathology and Medicine, and Medical Imaging, University of Western Ontario, London, ON; London Regional Cancer Program, London, ON; and Robarts Research Institute, University of Western Ontario, London, ON
| | - Savita Dhanvantari
- From the Imaging and Diabetes and Metabolism Programs, Lawson Health Research Institute, St. Joseph's Health Care, London, ON; Department of Physics and Astronomy, University of Waterloo, Waterloo, ON; Hotchkiss Brain Institute, University of Calgary, Calgary, AB; Departments of Medical Biophysics, Pathology and Medicine, and Medical Imaging, University of Western Ontario, London, ON; London Regional Cancer Program, London, ON; and Robarts Research Institute, University of Western Ontario, London, ON
| | - R. Terry Thompson
- From the Imaging and Diabetes and Metabolism Programs, Lawson Health Research Institute, St. Joseph's Health Care, London, ON; Department of Physics and Astronomy, University of Waterloo, Waterloo, ON; Hotchkiss Brain Institute, University of Calgary, Calgary, AB; Departments of Medical Biophysics, Pathology and Medicine, and Medical Imaging, University of Western Ontario, London, ON; London Regional Cancer Program, London, ON; and Robarts Research Institute, University of Western Ontario, London, ON
| | - Rene Figueredo
- From the Imaging and Diabetes and Metabolism Programs, Lawson Health Research Institute, St. Joseph's Health Care, London, ON; Department of Physics and Astronomy, University of Waterloo, Waterloo, ON; Hotchkiss Brain Institute, University of Calgary, Calgary, AB; Departments of Medical Biophysics, Pathology and Medicine, and Medical Imaging, University of Western Ontario, London, ON; London Regional Cancer Program, London, ON; and Robarts Research Institute, University of Western Ontario, London, ON
| | - Jim Koropatnick
- From the Imaging and Diabetes and Metabolism Programs, Lawson Health Research Institute, St. Joseph's Health Care, London, ON; Department of Physics and Astronomy, University of Waterloo, Waterloo, ON; Hotchkiss Brain Institute, University of Calgary, Calgary, AB; Departments of Medical Biophysics, Pathology and Medicine, and Medical Imaging, University of Western Ontario, London, ON; London Regional Cancer Program, London, ON; and Robarts Research Institute, University of Western Ontario, London, ON
| | - Paula Foster
- From the Imaging and Diabetes and Metabolism Programs, Lawson Health Research Institute, St. Joseph's Health Care, London, ON; Department of Physics and Astronomy, University of Waterloo, Waterloo, ON; Hotchkiss Brain Institute, University of Calgary, Calgary, AB; Departments of Medical Biophysics, Pathology and Medicine, and Medical Imaging, University of Western Ontario, London, ON; London Regional Cancer Program, London, ON; and Robarts Research Institute, University of Western Ontario, London, ON
| | - Frank S. Prato
- From the Imaging and Diabetes and Metabolism Programs, Lawson Health Research Institute, St. Joseph's Health Care, London, ON; Department of Physics and Astronomy, University of Waterloo, Waterloo, ON; Hotchkiss Brain Institute, University of Calgary, Calgary, AB; Departments of Medical Biophysics, Pathology and Medicine, and Medical Imaging, University of Western Ontario, London, ON; London Regional Cancer Program, London, ON; and Robarts Research Institute, University of Western Ontario, London, ON
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