{"id":383652,"date":"2026-01-22T06:13:10","date_gmt":"2026-01-22T06:13:10","guid":{"rendered":"https:\/\/www.newsbeep.com\/uk\/383652\/"},"modified":"2026-01-22T06:13:10","modified_gmt":"2026-01-22T06:13:10","slug":"quantum-spin-resonance-in-engineered-proteins-for-multimodal-sensing","status":"publish","type":"post","link":"https:\/\/www.newsbeep.com\/uk\/383652\/","title":{"rendered":"Quantum spin resonance in engineered proteins for multimodal sensing"},"content":{"rendered":"<p>Strains<\/p>\n<p>T7 Express Escherichia coli (New England Biolabs, C2566) were used for MFE and ODMR experiments in Figs. <a data-track=\"click\" data-track-label=\"link\" data-track-action=\"figure anchor\" href=\"http:\/\/www.nature.com\/articles\/s41586-025-09971-3#Fig1\" rel=\"nofollow noopener\" target=\"_blank\">1<\/a>\u2013<a data-track=\"click\" data-track-label=\"link\" data-track-action=\"figure anchor\" href=\"http:\/\/www.nature.com\/articles\/s41586-025-09971-3#Fig3\" rel=\"nofollow noopener\" target=\"_blank\">3<\/a>. E. coli MG1655 cells were used for multiplexing and mother machine lock-in experiments in Fig. <a data-track=\"click\" data-track-label=\"link\" data-track-action=\"figure anchor\" href=\"http:\/\/www.nature.com\/articles\/s41586-025-09971-3#Fig4\" rel=\"nofollow noopener\" target=\"_blank\">4<\/a>, owing to its effectiveness as a heterologous gene expression strain, and past optimization of mother machine chip loading protocols for this host. MG1655 was also used for Fig. <a data-track=\"click\" data-track-label=\"link\" data-track-action=\"figure anchor\" href=\"http:\/\/www.nature.com\/articles\/s41586-025-09971-3#Fig5\" rel=\"nofollow noopener\" target=\"_blank\">5<\/a>. NEB Dh5\u03b1 E. coli was used for plasmid production and genetic engineering steps, but not experimental data collection.<\/p>\n<p>Cell media<\/p>\n<p>TB auto-induction medium (Formedium, AIMTB0260) was used for growth of liquid cultures of T7 Express strains. LB medium (Formedium, LBX0102) was used for growth of MG1655 strains in liquid cultures and agar plates (Formedium, AGR10). M9 medium (Formedium, MMS0102; supplemented with 0.2\u2009g\u2009l\u22121 Pluronic F-127 (Sigma Aldrich, P2443-250G), 0.34\u2009g\u2009l\u22121 thiamine hydrochloride, 0.4% glucose, 0.2% casamino acids, 2\u2009mM MgSO4, 0.1\u2009mM CaCl2, 50\u2009mg\u2009l\u22121 EDTA Na2.2H20, 5\u2009mg\u2009l\u22121 FeCl3, 0.84\u2009mg\u2009l\u22121 ZnCl2, 0.13\u2009mg\u2009l\u22121 CuCl2.2H2O, 0.05\u2009mg\u2009l\u22121 CoCl2, 0.1\u2009mg\u2009l\u22121 H3BO3 and 0.016\u2009mg\u2009l\u22121 MnCl2.4H2O) was used for mother machine experiments. Antibiotic stocks were prepared as follows: 100\u2009mg\u2009ml\u22121 carbenicillin (Formedium, CAR0025) dissolved in 50% (v\/v) ethanol and 20\u2009mg\u2009ml\u22121 chloramphenicol (Fisher, 10368030) dissolved in 100% (v\/v) ethanol; stocks were diluted 1,000\u00d7 for experiments.<\/p>\n<p>Plasmid construction<\/p>\n<p>Whole plasmid sequencing was performed by Plasmidsaurus using Oxford Nanopore Technology.<\/p>\n<p>Derivative plasmids of those generated by directed evolution (for example, MagLOV\u2009+\u2009mCherry) were constructed using the EcoFlex kit (Addgene kit 1000000080) following standard EcoFlex protocols<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 61\" title=\"Moore, S. J. et al. EcoFlex: a multifunctional MoClo Kit for E. coli synthetic biology. ACS Synth. Biol. 5, 1059&#x2013;1069 (2016).\" href=\"http:\/\/www.nature.com\/articles\/s41586-025-09971-3#ref-CR61\" id=\"ref-link-section-d104047028e2599\" rel=\"nofollow noopener\" target=\"_blank\">61<\/a>. Level 1 assemblies were performed using NEB BsaI-HFv2, NEB T4 DNA Ligase Reaction Buffer (B0202S) and Thermo Scientific T4 DNA Ligase (EL0011). Level 2 assemblies were performed using NEBridge Golden Gate Assembly Kit BsmBI-v2 and NEB T4 DNA Ligase Reaction Buffer (B0202S).<\/p>\n<p>Level 1 PCR cycling protocol: 30\u00d7 (5\u2009min at 37\u2009\u00b0C\u2009\u2192\u20095\u2009min at 16\u2009\u00b0C)\u2009\u2192\u200910\u2009min at 60\u2009\u00b0C\u2009\u2192\u200920\u2009min at 80\u2009\u00b0C.<\/p>\n<p>Level 2 overnight PCR cycling protocol: 65\u00d7 (5\u2009min at 42\u2009\u00b0C\u2009\u2192\u20095\u2009min at 16\u2009\u00b0C)\u2009\u2192\u200910\u2009min at 60\u2009\u00b0C\u2009\u2192\u200920\u2009min at 80\u2009\u00b0C.<\/p>\n<p>pTU1 was used as a negative control plasmid (Supplementary Note\u00a0<a data-track=\"click\" data-track-label=\"link\" data-track-action=\"supplementary material anchor\" href=\"http:\/\/www.nature.com\/articles\/s41586-025-09971-3#MOESM1\" rel=\"nofollow noopener\" target=\"_blank\">2<\/a>); it is part of the EcoFlex kit.<\/p>\n<p>pRSET-AsLOV_R2, pRSET-MagLOV, pRSET-MagLOV-2 and pRSET-MagLOV-2_R11-f plasmids (used for Figs. <a data-track=\"click\" data-track-label=\"link\" data-track-action=\"figure anchor\" href=\"http:\/\/www.nature.com\/articles\/s41586-025-09971-3#Fig1\" rel=\"nofollow noopener\" target=\"_blank\">1<\/a>\u2013<a data-track=\"click\" data-track-label=\"link\" data-track-action=\"figure anchor\" href=\"http:\/\/www.nature.com\/articles\/s41586-025-09971-3#Fig3\" rel=\"nofollow noopener\" target=\"_blank\">3<\/a>) contain MFP variants created via directed evolution (described below) under control of T7 promoters. It is noted that despite the T7 promoter being chemically inducible in its host strain, experiments were performed without induction (that is, transcription was owing to leaky expression).<\/p>\n<p>pVS-01-03_EGFP expressing EGFP was used for microfluidic experiments. It was assembled solely from EcoFlex parts (pTU1-B-RFP, pBP-J23108, pBP-pET-RBS, pBP-ORF-eGFP and pBP-BBa-B0012).<\/p>\n<p>pVS-02-04_mCherry+MagLOV was used for microfluidic experiments. EcoFlex Golden Gate assembly was used to create a plasmid that expresses both MagLOV and mCherry. In a level 1 reaction, pVS-01-01_mCherry and pVS-01-02_MagLOV were assembled using the following bioparts from the EcoFlex kit. pVS-01-01_mCherry: pTU1-A-lacZ, pBP-J23108, pBP-pET-RBS, pBP-ORF-mCherry, pBP-BBa_B0012. pVS-01-02_MagLOV: pTU1-B-RFP, pBP-J23119, pBP-pET-RBS, BP-01_MagLOV, pBP-BBa_B0012. The BP-01_MagLOV sequence with overlaps was gained via PCR using NEB Q5 polymerase with pGA-01-01 as template using primers MagLOV_EcoFlex_FWD and MagLOV_EcoFlex_REV. Both plasmids were combined in a subsequent Level 2 EcoFlex reaction with the pTU2-a backbone, leading to pVS-02-04_mCherry+MagLOV. The predicted translation rate is 250.<\/p>\n<p>pRH-01-17, pGA-01-47 and pGA-01-49 were used for multiplexing experiments and spatial localization. The coding\u00a0sequences\u00a0(CDSs) for AsLOV2\u2009R5, MagLOV\u20092 and MagLOV\u20092\u2009fast, respectively, were codon optimized and the ribosome binding site (RBS) designed to maximize constitutive expression using the CDS Calculator and RBS Calculator tools of ref. <a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 62\" title=\"Salis, H. M., Mirsky, E. A. &amp; Voigt, C. A. Automated design of synthetic ribosome binding sites to control protein expression. Nat. Biotechnol. 27, 946&#x2013;950 (2009).\" href=\"http:\/\/www.nature.com\/articles\/s41586-025-09971-3#ref-CR62\" id=\"ref-link-section-d104047028e2640\" rel=\"nofollow noopener\" target=\"_blank\">62<\/a>. The sequence was synthesized as a gene fragment (Twist Bioscience) and assembled into a level 1 plasmid as above, again using the J23119 promoter.<\/p>\n<p>MFP expression levels were estimated for constructs using ref. <a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 62\" title=\"Salis, H. M., Mirsky, E. A. &amp; Voigt, C. A. Automated design of synthetic ribosome binding sites to control protein expression. Nat. Biotechnol. 27, 946&#x2013;950 (2009).\" href=\"http:\/\/www.nature.com\/articles\/s41586-025-09971-3#ref-CR62\" id=\"ref-link-section-d104047028e2647\" rel=\"nofollow noopener\" target=\"_blank\">62<\/a>. For pVS-02-04, an unoptimized codon sequence and RBS were used, resulting in a predicted translation rate in its expression strain (E. coli MG1655) of 261. For pRSET constructs, the predicted translation rate in expression strains (E. coli NEB T7) is 50\u00a0\u00d7\u00a0103. For pRH-01-17, pGA-01-47 and pGA-01-49, the optimized codon sequence and RBS yielded a predicted translation rate in E. coli MG1655 of 106; as such this represents a 20\u00d7 increase in predicted rate over the pRSET strains and a 4,000\u00d7 increase in predicted translation over pVS-02-04. It is noted that these predictions also do not account for the dual expression in pVS-02-04 of mCherry.<\/p>\n<p>Directed evolution of MFPs<\/p>\n<p>We previously reported the directed evolution of MFPs resulting in MagLOV<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 8\" title=\"Hayward, R. F. et al. Magnetic control of the brightness of fluorescent proteins. Zenodo &#010;                https:\/\/doi.org\/10.5281\/zenodo.11406498&#010;                &#010;               (2024).\" href=\"http:\/\/www.nature.com\/articles\/s41586-025-09971-3#ref-CR8\" id=\"ref-link-section-d104047028e2673\" rel=\"nofollow noopener\" target=\"_blank\">8<\/a>. Directed evolution of MFP variants was initiated with AsLOV2 C450A<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 39\" title=\"Petren&#x10D;&#xE1;kov&#xE1;, M. et al. Conformational properties of LOV2 domain and its C450A variant within broad pH region. Biophys. Chem. 259, 106337 (2020).\" href=\"http:\/\/www.nature.com\/articles\/s41586-025-09971-3#ref-CR39\" id=\"ref-link-section-d104047028e2677\" rel=\"nofollow noopener\" target=\"_blank\">39<\/a>, a protein originally isolated from the common oat Avena sativa. The mutagenesis protocol was based on methods developed previously<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 63\" title=\"Seidel, Z. P., Wang, J. C. K., Riegler, J., York, A. &amp; Ingaramo, M. Relaxation sensors. Zenodo &#010;                https:\/\/doi.org\/10.5281\/zenodo.5832180&#010;                &#010;               (2022).\" href=\"http:\/\/www.nature.com\/articles\/s41586-025-09971-3#ref-CR63\" id=\"ref-link-section-d104047028e2684\" rel=\"nofollow noopener\" target=\"_blank\">63<\/a>. In particular, we used 142 PCR reactions with NNK semi-random primer pairs (supplied by Eton Bioscience) to make all single amino acid mutants of AsLOV2 (404\u2013546) C450A at all locations, which produces a library containing 2,982 protein variants, although (owing to the pooled nature of the screen) it is likely that not all variants are present for each round. This library was transformed into E. coli strain BL21(DE3) and spread across about ten LB-agar plates for screening. After transformation, plates were left for 2\u2009days at room temperature (25\u2009\u00b0C) as this was observed to lead to stronger magnetoresponses. Screening used the same fluorescence photography system described in ref. <a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 63\" title=\"Seidel, Z. P., Wang, J. C. K., Riegler, J., York, A. &amp; Ingaramo, M. Relaxation sensors. Zenodo &#010;                https:\/\/doi.org\/10.5281\/zenodo.5832180&#010;                &#010;               (2022).\" href=\"http:\/\/www.nature.com\/articles\/s41586-025-09971-3#ref-CR63\" id=\"ref-link-section-d104047028e2692\" rel=\"nofollow noopener\" target=\"_blank\">63<\/a>, with addition of an electromagnet (KK-P80\/10, Kaka Electric) below the sample, which was turned on\/off every 15\u2009seconds using an Arduino Uno while acquiring successive images. After each screen, images were processed to identify the single colony (across all plates) with the largest fractional change in fluorescence between the magnet on\/off conditions. The selected colony was picked (manually) from the corresponding plate, and used as the basis for the next round of mutagenesis and selection. Subsequent mutagenesis rounds used the same primers to avoid re-making the primer library with each mutation (which we hypothesize selects against multiple consecutive nearby mutations), except before rounds leading to AsLOV\u2009R5, MagLOV\u2009R7 and MagLOV\u20092, at which point primers in the library that overlapped mutated sites were updated to the current variant\u2019s sequence. In total, 11 rounds of mutagenesis were undertaken, all selecting for amplitude of MFE with the exception of round 11 (MagLOV\u20092\u2009fast) where mutants from round 10 were selected based on fast response time (quantified as the mutant with the largest contrast measured in the first 100\u2009ms following magnetic-field change). After each round of mutagenesis, selected variants were sequenced using the Sanger method (supplied by Quintara Biosciences). The variants measured in this paper and some intermediaries are provided in Supplementary Note\u00a0<a data-track=\"click\" data-track-label=\"link\" data-track-action=\"supplementary material anchor\" href=\"http:\/\/www.nature.com\/articles\/s41586-025-09971-3#MOESM1\" rel=\"nofollow noopener\" target=\"_blank\">3<\/a>.<\/p>\n<p>Wide-field MFE and ODMR characterization<\/p>\n<p>Plasmids expressing EGFP, MFP variants or negative control plasmids expressing only antibiotic selection markers were used to transform E. coli NEB T7 via heatshock at 42\u2009\u00b0C for 45\u2009seconds. Colonies were grown overnight at 37\u2009\u00b0C on Agar plates, then a single colony was picked, resuspended in 1\u2009ml LB media, spread onto a plate, and grown at 37\u2009\u00b0C for 24\u2009hours followed by 24\u2009hours at room temperature to form a lawn of cells. Cells from this lawn were then resuspended in PBS buffer.<\/p>\n<p>Both MFE and ODMR imaging were performed using a custom-built wide-field epifluorescence microscope (Supplementary Notes\u00a0<a data-track=\"click\" data-track-label=\"link\" data-track-action=\"supplementary material anchor\" href=\"http:\/\/www.nature.com\/articles\/s41586-025-09971-3#MOESM1\" rel=\"nofollow noopener\" target=\"_blank\">10<\/a> and <a data-track=\"click\" data-track-label=\"link\" data-track-action=\"supplementary material anchor\" href=\"http:\/\/www.nature.com\/articles\/s41586-025-09971-3#MOESM1\" rel=\"nofollow noopener\" target=\"_blank\">11<\/a>). From cells suspended in PBS buffer, an approximately 1-\u03bcl droplet was confined between two glass coverslips (SLS MIC2162) atop a stripline antenna printed circuit board (Supplementary Note\u00a0<a data-track=\"click\" data-track-label=\"link\" data-track-action=\"supplementary material anchor\" href=\"http:\/\/www.nature.com\/articles\/s41586-025-09971-3#MOESM1\" rel=\"nofollow noopener\" target=\"_blank\">12<\/a>). The antenna printed circuit board was placed inverted on the microscope stage and either an electromagnet (for MFE) or a permanent magnet (for ODMR) was positioned above. The antenna printed circuit board was used to mount the MFE experiments (despite not delivering any B1 field) to that ensure lighting conditions were consistent with those in ODMR experiments. For MFE experiments, the electromagnet supplied a static field of 0\u2009mT or 10\u2009mT at the sample. For ODMR experiments, the permanent magnet supplied a static field (B0\u00a0\u2248\u00a020\u2009mT) in the z direction (Supplementary Note\u00a0<a data-track=\"click\" data-track-label=\"link\" data-track-action=\"supplementary material anchor\" href=\"http:\/\/www.nature.com\/articles\/s41586-025-09971-3#MOESM1\" rel=\"nofollow noopener\" target=\"_blank\">13<\/a>), perpendicular to the radio-frequency field (B1\u00a0\u2248\u00a00.2\u2009mT) supplied by the stripline antenna (Supplementary Note\u00a0<a data-track=\"click\" data-track-label=\"link\" data-track-action=\"supplementary material anchor\" href=\"http:\/\/www.nature.com\/articles\/s41586-025-09971-3#MOESM1\" rel=\"nofollow noopener\" target=\"_blank\">14<\/a>). It is noted that the imaging step and exposure times (Supplementary Note\u00a0<a data-track=\"click\" data-track-label=\"link\" data-track-action=\"supplementary material anchor\" href=\"http:\/\/www.nature.com\/articles\/s41586-025-09971-3#MOESM1\" rel=\"nofollow noopener\" target=\"_blank\">11<\/a>) were maintained across experiments unless otherwise stated, whereas light-emitting-diode power levels (Supplementary Notes\u00a0<a data-track=\"click\" data-track-label=\"link\" data-track-action=\"supplementary material anchor\" href=\"http:\/\/www.nature.com\/articles\/s41586-025-09971-3#MOESM1\" rel=\"nofollow noopener\" target=\"_blank\">9<\/a> and <a data-track=\"click\" data-track-label=\"link\" data-track-action=\"supplementary material anchor\" href=\"http:\/\/www.nature.com\/articles\/s41586-025-09971-3#MOESM1\" rel=\"nofollow noopener\" target=\"_blank\">15<\/a>) were varied between samples to account for differing expression levels of MFPs.<\/p>\n<p>Data processing was performed using Python (v3.11.11), SciPy (v1.15.1)<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 64\" title=\"Virtanen, P. et al. SciPy 1.0: fundamental algorithms for scientific computing in Python. Nat. Methods 17, 261&#x2013;272 (2020).\" href=\"http:\/\/www.nature.com\/articles\/s41586-025-09971-3#ref-CR64\" id=\"ref-link-section-d104047028e2758\" rel=\"nofollow noopener\" target=\"_blank\">64<\/a>, NumPy (v.126.4)<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 65\" title=\"Harris, C. R. et al. Array programming with NumPy. Nature 585, 357&#x2013;362 (2020).\" href=\"http:\/\/www.nature.com\/articles\/s41586-025-09971-3#ref-CR65\" id=\"ref-link-section-d104047028e2762\" rel=\"nofollow noopener\" target=\"_blank\">65<\/a>, scikit-learn (v1.6.1)<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 66\" title=\"Pedregosa, F. et al. Scikit-Learn: machine learning in Python. J. Mach. Learn. Res. 12, 2825&#x2013;2830 (2011).\" href=\"http:\/\/www.nature.com\/articles\/s41586-025-09971-3#ref-CR66\" id=\"ref-link-section-d104047028e2766\" rel=\"nofollow noopener\" target=\"_blank\">66<\/a> and scikit-image (v0.20.0)<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 66\" title=\"Pedregosa, F. et al. Scikit-Learn: machine learning in Python. J. Mach. Learn. Res. 12, 2825&#x2013;2830 (2011).\" href=\"http:\/\/www.nature.com\/articles\/s41586-025-09971-3#ref-CR66\" id=\"ref-link-section-d104047028e2770\" rel=\"nofollow noopener\" target=\"_blank\">66<\/a>.<\/p>\n<p>Calculation of MFE and ODMR effect sizes<\/p>\n<p>We define the MFE by \\(\\Delta {\\mathcal{I}}\/{{\\mathcal{I}}}_{\\mathrm{off}}\\), where \\({\\mathcal{I}}\\) is the fluorescence intensity, \\({{\\mathcal{I}}}_{\\mathrm{off}}\\) is the fluorescence intensity immediately before switching the magnet on, and \\(\\Delta {\\mathcal{I}}={\\mathcal{I}}-{{\\mathcal{I}}}_{\\mathrm{off}}\\). Similarly, for ODMR measurements, the detrended signal is defined to be \\(\\Delta {\\mathcal{I}}\/{{\\mathcal{I}}}_{\\mathrm{bg}}\\), where \\({{\\mathcal{I}}}_{\\mathrm{bg}}\\) is a background curve fit to the data as described in Supplementary Note\u00a0<a data-track=\"click\" data-track-label=\"link\" data-track-action=\"supplementary material anchor\" href=\"http:\/\/www.nature.com\/articles\/s41586-025-09971-3#MOESM1\" rel=\"nofollow noopener\" target=\"_blank\">9<\/a>, and \\(\\Delta {\\mathcal{I}}={\\mathcal{I}}-{{\\mathcal{I}}}_{\\mathrm{bg}}\\).<\/p>\n<p>Spectral measurements<\/p>\n<p>Wavelength-resolved MFE measurements (Fig. <a data-track=\"click\" data-track-label=\"link\" data-track-action=\"figure anchor\" href=\"http:\/\/www.nature.com\/articles\/s41586-025-09971-3#Fig3\" rel=\"nofollow noopener\" target=\"_blank\">3<\/a> and Supplementary Note\u00a0<a data-track=\"click\" data-track-label=\"link\" data-track-action=\"supplementary material anchor\" href=\"http:\/\/www.nature.com\/articles\/s41586-025-09971-3#MOESM1\" rel=\"nofollow noopener\" target=\"_blank\">4<\/a>) were performed in bulk using a home-built cuvette-based fluorescence spectrometer described in ref. <a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 24\" title=\"Evans, E. W. et al. Sensitive fluorescence-based detection of magnetic field effects in photoreactions of flavins. Phys. Chem. Chem. Phys. 17, 18456&#x2013;18463 (2015).\" href=\"http:\/\/www.nature.com\/articles\/s41586-025-09971-3#ref-CR24\" id=\"ref-link-section-d104047028e2971\" rel=\"nofollow noopener\" target=\"_blank\">24<\/a>. In brief, a 450-nm laser diode was used to excite the sample, which was housed inside custom-built Helmholtz coils. The emission was collected through a lens pair and dispersed by a spectrograph (Andor Holospec) onto a charge-coupled-device array (Andor iDus420).<\/p>\n<p>Cells were resuspended in PBS buffer at an optical density of about 0.3 and placed in a quartz fluorescence cuvette (Hellma). Similarly to the wide-field measurements, a magnetic field was switched on and off with field strength 10\u2009mT and a period of 20\u2009seconds (10\u2009seconds on, 10\u2009seconds off). The sample was illuminated at 450\u2009nm (Oxxius LBX-450), at roughly 1\u2009kW\u2009m\u22122, and the emission was filtered using a 458-nm longpass filter (RazorEdge ultrasteep).<\/p>\n<p>Excitation spectra in Fig. <a data-track=\"click\" data-track-label=\"link\" data-track-action=\"figure anchor\" href=\"http:\/\/www.nature.com\/articles\/s41586-025-09971-3#Fig3\" rel=\"nofollow noopener\" target=\"_blank\">3c<\/a> and Supplementary Note\u00a0<a data-track=\"click\" data-track-label=\"link\" data-track-action=\"supplementary material anchor\" href=\"http:\/\/www.nature.com\/articles\/s41586-025-09971-3#MOESM1\" rel=\"nofollow noopener\" target=\"_blank\">4<\/a> were recorded using an Edinburgh Instruments FS5 Spectrofluorometer, using a xenon lamp as an excitation source. Emission spectra (Fig. <a data-track=\"click\" data-track-label=\"link\" data-track-action=\"figure anchor\" href=\"http:\/\/www.nature.com\/articles\/s41586-025-09971-3#Fig3\" rel=\"nofollow noopener\" target=\"_blank\">3a<\/a>) and time-resolved emission spectra (Supplementary Note\u00a0<a data-track=\"click\" data-track-label=\"link\" data-track-action=\"supplementary material anchor\" href=\"http:\/\/www.nature.com\/articles\/s41586-025-09971-3#MOESM1\" rel=\"nofollow noopener\" target=\"_blank\">4<\/a>) were recorded on the same instrument, but using an HPL450 (450\u2009nm) for excitation. It is noted that this instrument set-up suffers from laser excitation artefacts, which create the small peaks near 550\u2009nm and 650\u2009nm.<\/p>\n<p>Multiplexing using MFE<\/p>\n<p>To demonstrate the potential of using MFE for multiplexing in fluorescence microscopy, we first cloned strains of AsLOV\u2009R5 (one of the variants evolved between AsLOV\u2009R2 and MagLOV; Supplementary Note\u00a0<a data-track=\"click\" data-track-label=\"link\" data-track-action=\"supplementary material anchor\" href=\"http:\/\/www.nature.com\/articles\/s41586-025-09971-3#MOESM1\" rel=\"nofollow noopener\" target=\"_blank\">3<\/a>) and MagLOV\u20092 into E. coli MG1655. Cells were grown in liquid culture from \u221280\u2009\u00b0C freezer stocks, then resuspended in PBS and made up to equal concentration as measured by optical density (OD600). Individually, and as a 1:1 mixture, monolayers of cells were sandwiched between a glass slide and cover for MFE imaging.<\/p>\n<p>We initially characterized each variant in isolation, measuring fluorescence traces for approximately 2,000 cells in a field of view (Fig. <a data-track=\"click\" data-track-label=\"link\" data-track-action=\"figure anchor\" href=\"http:\/\/www.nature.com\/articles\/s41586-025-09971-3#Fig4\" rel=\"nofollow noopener\" target=\"_blank\">4a<\/a>). The same processing was performed as in Fig. <a data-track=\"click\" data-track-label=\"link\" data-track-action=\"figure anchor\" href=\"http:\/\/www.nature.com\/articles\/s41586-025-09971-3#Fig2\" rel=\"nofollow noopener\" target=\"_blank\">2<\/a> but to individual cells, yielding a value of \u03c4 (the MFE saturation timescale) for each cell, which allows measurement of each sample\u2019s intrapopulation variability (Fig. <a data-track=\"click\" data-track-label=\"link\" data-track-action=\"figure anchor\" href=\"http:\/\/www.nature.com\/articles\/s41586-025-09971-3#Fig4\" rel=\"nofollow noopener\" target=\"_blank\">4b<\/a>).<\/p>\n<p>To perform the population decomposition, we trained a machine-learning classifier (XGBoost<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 67\" title=\"Chen, T. &amp; Guestrin, C. XGBoost: a scalable tree boosting system. In Proc. 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining 785&#x2013;794 (ACM, 2016); &#010;                https:\/\/doi.org\/10.1145\/2939672.2939785&#010;                &#010;              .\" href=\"http:\/\/www.nature.com\/articles\/s41586-025-09971-3#ref-CR67\" id=\"ref-link-section-d104047028e3027\" rel=\"nofollow noopener\" target=\"_blank\">67<\/a>) on the dynamic data (that is, fluorescence versus time) used to generate Fig. <a data-track=\"click\" data-track-label=\"link\" data-track-action=\"figure anchor\" href=\"http:\/\/www.nature.com\/articles\/s41586-025-09971-3#Fig4\" rel=\"nofollow noopener\" target=\"_blank\">4b<\/a>. Before training, and for classification, the MFE response (\\(\\Delta {\\mathcal{I}}\/{{\\mathcal{I}}}_{\\mathrm{off}}\\)) curves of each cell were normalized to range from 0 to 1. Without further training, this classifier was used to classify a combined population of cells (Fig. <a data-track=\"click\" data-track-label=\"link\" data-track-action=\"figure anchor\" href=\"http:\/\/www.nature.com\/articles\/s41586-025-09971-3#Fig4\" rel=\"nofollow noopener\" target=\"_blank\">4b<\/a>) mixed with 1:1 ratio (determined by OD600). The ratio of the two variants by classification was R5:ML2\u00a0=\u00a00.9:1, which probably differs from the anticipated 1:1 ratio owing to both classifier accuracy and typical measurement errors expected from the use of OD600 to quantify cell counts<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 68\" title=\"Beal, J. et al. Robust estimation of bacterial cell count from optical density. Commun. Biol. 3, 512 (2020).\" href=\"http:\/\/www.nature.com\/articles\/s41586-025-09971-3#ref-CR68\" id=\"ref-link-section-d104047028e3064\" rel=\"nofollow noopener\" target=\"_blank\">68<\/a>.<\/p>\n<p>Lock-in detection using MFE<\/p>\n<p>Cells expressing EGFP<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 49\" title=\"Cormack, B. P., Valdivia, R. H. &amp; Falkow, S. FACS-optimized mutants of the green fluorescent protein (GFP). Gene 173, 33&#x2013;38 (1996).\" href=\"http:\/\/www.nature.com\/articles\/s41586-025-09971-3#ref-CR49\" id=\"ref-link-section-d104047028e3076\" rel=\"nofollow noopener\" target=\"_blank\">49<\/a> and cells co-expressing mCherry<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 69\" title=\"Shaner, N. C. et al. Improved monomeric red, orange and yellow fluorescent proteins derived from Discosoma sp. red fluorescent protein. Nat. Biotechnol. 22, 1567&#x2013;1572 (2004).\" href=\"http:\/\/www.nature.com\/articles\/s41586-025-09971-3#ref-CR69\" id=\"ref-link-section-d104047028e3080\" rel=\"nofollow noopener\" target=\"_blank\">69<\/a> with very weak MagLOV expression (expression level predicted<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 62\" title=\"Salis, H. M., Mirsky, E. A. &amp; Voigt, C. A. Automated design of synthetic ribosome binding sites to control protein expression. Nat. Biotechnol. 27, 946&#x2013;950 (2009).\" href=\"http:\/\/www.nature.com\/articles\/s41586-025-09971-3#ref-CR62\" id=\"ref-link-section-d104047028e3084\" rel=\"nofollow noopener\" target=\"_blank\">62<\/a> at about 0.025% of that in multiplexing experiments) were grown in liquid culture, then mixed and loaded into a microfluidic \u2018mother machine\u2019 chip consisting of two rows of evenly spaced trenches fed by a central channel bringing fresh media into the system and carrying excess cells out. After a few hours of growth, each trench was filled only with cells whose ancestor is the cell at the closed end of the trench (that is, they may be considered clonal; Fig. <a data-track=\"click\" data-track-label=\"link\" data-track-action=\"figure anchor\" href=\"http:\/\/www.nature.com\/articles\/s41586-025-09971-3#Fig4\" rel=\"nofollow noopener\" target=\"_blank\">4d<\/a>). The cells were imaged using the same wide-field fluorescence microscopy set-up as described previously. Microfluidic manufacturing and set-up techniques are described in Supplementary Note\u00a0<a data-track=\"click\" data-track-label=\"link\" data-track-action=\"supplementary material anchor\" href=\"http:\/\/www.nature.com\/articles\/s41586-025-09971-3#MOESM1\" rel=\"nofollow noopener\" target=\"_blank\">7<\/a>. Algorithms for cell segmentation and image processing and quantification are described in Supplementary Note\u00a0<a data-track=\"click\" data-track-label=\"link\" data-track-action=\"supplementary material anchor\" href=\"http:\/\/www.nature.com\/articles\/s41586-025-09971-3#MOESM1\" rel=\"nofollow noopener\" target=\"_blank\">16<\/a>. Quantitative lock-in classification results are provided Supplementary Note\u00a0<a data-track=\"click\" data-track-label=\"link\" data-track-action=\"supplementary material anchor\" href=\"http:\/\/www.nature.com\/articles\/s41586-025-09971-3#MOESM1\" rel=\"nofollow noopener\" target=\"_blank\">17<\/a>. In Fig. <a data-track=\"click\" data-track-label=\"link\" data-track-action=\"figure anchor\" href=\"http:\/\/www.nature.com\/articles\/s41586-025-09971-3#Fig4\" rel=\"nofollow noopener\" target=\"_blank\">4g<\/a>, the classifications are shown including the decision boundaries based on the control (565-nm fluorescence) and based on the lock-in value. The graphs can be interpreted as confusion matrices: top-left quadrant are false negatives, top-right quadrant are true positives, bottom-left quadrant are true negatives, and bottom-right quadrant are false positives.<\/p>\n<p>Spatial localization using ODMR<\/p>\n<p>The fluorescence MRI instrument (described in detail in Supplementary Note\u00a0<a data-track=\"click\" data-track-label=\"link\" data-track-action=\"supplementary material anchor\" href=\"http:\/\/www.nature.com\/articles\/s41586-025-09971-3#MOESM1\" rel=\"nofollow noopener\" target=\"_blank\">8<\/a>) used a permanent neodymium rare-earth magnet to impose a static magnetic field, B0, which varied linearly along the z axis with a gradient strength of approximately 0.95\u2009T\u2009m\u22121 at the radio-frequency isocentre of the coil used. Our methodology assumes that (1) this gradient is uniform within the coil and (2) there is no variation in x\u2212y planes; violation of these assumptions would degrade the localization accuracy. The imaging isocentre is both spatially the centre of the radio-frequency coil\u2019s sensitive area and was chosen to be at 17.8\u2009mT corresponding to an ESR Larmor frequency of f\u00a0\u2248\u00a0500\u2009MHz, the coil\u2019s resonant frequency. The magnetic field was modulated axially by a Helmholtz coil such that \\({B}_{z}={B}_{z}^{{\\rm{magnet}}}(z)+{B}_{z}^{{\\rm{Helmholtz}}}(t)\\) where t is time. By varying the Helmholtz coil current between \u00b11\u2009A, we were able to shift the effective magnetic field by \u00b15.87\u2009mT around the resonant condition, providing a total field of view of approximately 12\u2009mT along the gradient direction (see Supplementary Note\u00a0<a data-track=\"click\" data-track-label=\"link\" data-track-action=\"supplementary material anchor\" href=\"http:\/\/www.nature.com\/articles\/s41586-025-09971-3#MOESM1\" rel=\"nofollow noopener\" target=\"_blank\">8<\/a> for a detailed calculation). The device is therefore able to scan spatially in one dimension as the Larmor frequency remains fixed at \\(f={\\bar{\\gamma }}_{e}{B}_{z}(z,t)\\), where different spatial positions are brought into resonance through current modulation while maintaining fixed radio-frequency excitation.<\/p>\n<p>To simulate a three-dimensional volumetric sample, we cast a 40-cm3 volume of PDMS (matching the region of uniformity of the radio-frequency coil) with empty cylinders of 0.4-mm-diameter embedded in it perpendicular to the B0 gradient and separated in z by 7.5\u2009mm. We filled these cylinders with cells expressing MagLOV\u20092\u2009fast (centrifuge-concentrated liquid culture), measuring at different depths both individually and together. Intensity data were processed (grey solid area in Fig. <a data-track=\"click\" data-track-label=\"link\" data-track-action=\"figure anchor\" href=\"http:\/\/www.nature.com\/articles\/s41586-025-09971-3#Fig5\" rel=\"nofollow noopener\" target=\"_blank\">5e,f<\/a>) using a Lucy\u2013Richardson deconvolution<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 64\" title=\"Virtanen, P. et al. SciPy 1.0: fundamental algorithms for scientific computing in Python. Nat. Methods 17, 261&#x2013;272 (2020).\" href=\"http:\/\/www.nature.com\/articles\/s41586-025-09971-3#ref-CR64\" id=\"ref-link-section-d104047028e3312\" rel=\"nofollow noopener\" target=\"_blank\">64<\/a> with a Gaussian impulse response function of fixed width 3\u2009mm, which is estimated based on the ODMR linewidth of 80\u2009MHz (see Supplementary Note\u00a0<a data-track=\"click\" data-track-label=\"link\" data-track-action=\"supplementary material anchor\" href=\"http:\/\/www.nature.com\/articles\/s41586-025-09971-3#MOESM1\" rel=\"nofollow noopener\" target=\"_blank\">8<\/a> for further details). It is noted that although the deconvolution algorithm uses the known ODMR linewidth (and hence point-spread function), it does not make any assumption about the number or location of peaks.<\/p>\n<p>This fluorescence MRI instrument was designed and built to achieve proof of concept and is limited in terms of signal-to-noise performance of the optical path and photodiode sensor, as well as B0 field uniformity in the target volume. Future development could significantly improve its capabilities via implementing full three-dimensional control of B0 field gradients, an endoscope-type imaging system to collect light with x\u2013y spatial information from the target volume without sensor perturbation by radio frequency or magnetic field, addition of fast optical lock-in to the fluorescence excitation or measurement, optical path re-design to improve collection and filtering efficiency and reduce stray light, and indeed directed evolution of variants with faster ODMR response dynamics to allow averaging over more on\/off cycles.<\/p>\n<p>Microenvironment sensing<\/p>\n<p>Purified MagLOV\u20092\u2009fast solutions for the data in Fig. <a data-track=\"click\" data-track-label=\"link\" data-track-action=\"figure anchor\" href=\"http:\/\/www.nature.com\/articles\/s41586-025-09971-3#Fig6\" rel=\"nofollow noopener\" target=\"_blank\">6<\/a> were prepared as follows. It is noted that all MagLOV proteins expressed include a His-tag at the N-terminus. Protein was purified following using HisPur Cobalt Resin (Thermo Scientific) following the manufacturer\u2019s protocol. Purified protein was suspended in PBS buffer with 30% glycerol and stored at \u221280\u2009\u00b0C.<\/p>\n<p>We estimated the concentration the purified protein samples via the method used in ref. <a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 70\" title=\"Wingen, M. et al. The photophysics of LOV-based fluorescent proteins&#x2014;new tools for cell biology. Photochem. Photobiol. Sci. 13, 875&#x2013;883 (2014).\" href=\"http:\/\/www.nature.com\/articles\/s41586-025-09971-3#ref-CR70\" id=\"ref-link-section-d104047028e3352\" rel=\"nofollow noopener\" target=\"_blank\">70<\/a> to determine the extinction coefficient of LOV-based fluorescent proteins. First, purified protein was heated to 95\u2009\u00b0C for 5\u2009minutes to dissociate the FMN from the protein (we assume that one FMN corresponds to one protein, as free FMN should be removed by the protein purification process). The concentration of flavin (and hence protein) was then determined by performing a serial dilution and measuring\u00a0absorbance at 450 nanometres (A450nm), using the free FMN extinction coefficient \u03f5FMN\u00a0=\u00a012,200\u2009M\u22121\u2009cm\u22121 (ref. <a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 71\" title=\"Whitby, L. G. A new method for preparing flavin-adenine dinucleotide. Biochem. J. 54, 437&#x2013;442 (1953).\" href=\"http:\/\/www.nature.com\/articles\/s41586-025-09971-3#ref-CR71\" id=\"ref-link-section-d104047028e3369\" rel=\"nofollow noopener\" target=\"_blank\">71<\/a>).<\/p>\n<p>Contrast agent experiments were performed on the wide-field microscope configured for MFE detection, using a six-chamber microfluidic chip (ibdi \u03bc-Slide VI 0.5 Glass Bottom) to hold samples of gadobutrol (CRS Y0001803) diluted in PBS buffer in serial dilution (MagLOV concentration the same for all conditions). Measurements were acquired in a randomized sequence (to compensate for any stray light photobleaching or time and sequence correlated effects) by programming 6\u00a0\u00d7\u00a03 fields of view (6 chambers of differing concentrations, 3 fields of view in each chamber), then automatically performing an MFE measurement acquisition at each field of view. For each MFE acquisition, 10 periods of duration 40\u2009seconds (20\u2009seconds magnet on, 20\u2009seconds off) were acquired at 450-nm light-emitting-diode intensity 280\u2009mW\u2009cm\u22122, 100-ms image exposure time and 10-mT magnetic-field strength. Optimization of experimental protocols for spin-relaxometry-based sensing using MagLOV or other radical-pair fluorescent proteins will be required for broader application; here we demonstrate simply that the spin-radical pair of MagLOV is indeed sensitive to its surroundings despite the flavin being bound.<\/p>\n<p>To consider the expected effect of paramagnetic species upon the MagLOV MFE more quantitatively, we note that paramagnetic impurities can be modelled as stochastic point dipoles that modify the T1 or T2 relaxation rates in radical-pair kinetics<a data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 72\" title=\"Antill, L. M. &amp; Vatai, E. RadicalPy: a tool for spin dynamics simulations. J. Chem. Theory Comput. 20, 9488&#x2013;9499 (2024).\" href=\"http:\/\/www.nature.com\/articles\/s41586-025-09971-3#ref-CR72\" id=\"ref-link-section-d104047028e3389\" rel=\"nofollow noopener\" target=\"_blank\">72<\/a>, thereby changing the contrast. We therefore anticipated that a characteristic timescale for this process, \u03c4, would scale as \\(\\tau \\approx \\frac{1}{{k}_{{\\rm{STD}}}}+{\\left(\\frac{1}{T}+R[{{\\rm{Gd}}}^{3+}]\\right)}^{-1}\\) where kSTD is a stochastic decoherence rate, T is a semiempirical T1 or T2 relaxation time, and R the effective relaxivity of the paramagnetic impurity. We therefore expect contrast to fit a functional form of approximately (a[x]\u2009+\u2009b)\u22121\u2009+\u2009c, and indeed this is consistent with Fig. <a data-track=\"click\" data-track-label=\"link\" data-track-action=\"figure anchor\" href=\"http:\/\/www.nature.com\/articles\/s41586-025-09971-3#Fig6\" rel=\"nofollow noopener\" target=\"_blank\">6<\/a>.<\/p>\n<p>Reporting summary<\/p>\n<p>Further information on research design is available in the\u00a0<a data-track=\"click\" data-track-label=\"link\" data-track-action=\"supplementary material anchor\" href=\"http:\/\/www.nature.com\/articles\/s41586-025-09971-3#MOESM2\" rel=\"nofollow noopener\" target=\"_blank\">Nature Portfolio Reporting Summary<\/a> linked to this article.<\/p>\n","protected":false},"excerpt":{"rendered":"Strains T7 Express Escherichia coli (New England Biolabs, C2566) were used for MFE and ODMR experiments in Figs.&hellip;\n","protected":false},"author":2,"featured_media":383653,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6],"tags":[59,4230,4231,26783,90,16710,86,56,54,55],"class_list":["post-383652","post","type-post","status-publish","format-standard","has-post-thumbnail","category-technology","tag-gb","tag-humanities-and-social-sciences","tag-multidisciplinary","tag-quantum-metrology","tag-science","tag-synthetic-biology","tag-technology","tag-uk","tag-united-kingdom","tag-unitedkingdom"],"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/posts\/383652","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/comments?post=383652"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/posts\/383652\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/media\/383653"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/media?parent=383652"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/categories?post=383652"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/tags?post=383652"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}