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murine monoclonal anti ic3b antibody  (Quidel)


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    Structured Review

    Quidel murine monoclonal anti ic3b antibody
    Characterisation of alternative pathway C3b regulatory activity of CFI variants. (a) Alternative pathway fluid phase cofactor assays for CFI variants. Separation of C3b products by SDS-PAGE followed by Coomassie staining was used to assess activity by the loss of the α′ band and generation of the <t>iC3b</t> α1 band (68 kDa) and α2 (46,43 kDa) bands (b) Alternative pathway kinetic fluid phase analysis of C3b cofactor activity for CFI variants. The density of C3b α′ chain remaining following 7.5, 15 and 30 min at 37°C was measured. The density of the α′ chain band was normalised to the density of the β chain band (loading control) before the resultant figure was normalised to a negative control containing no FI, giving a proportion of α′ chain remaining compared to the zero FI control. Fluid phase assays were repeated 3 times. Using a 2-way ANOVA multiple comparison test, the normalised density for each variant was provided as the mean ± SD and compared to the mean of the WT. (c) Solid phase cofactor assay. Each CFI RV was titrated in a 1:4 serial dilution and incubated with C3b-coated beads with excess FH for 1 h to allow cleavage of C3b. Four parameter logistic regression curves are shown by lines (WT: Green, T107A: Purple, G328R: Red, S525A: Blue). Each point shows the median fluorescence intensity (MFI) of a minimum of 1000 beads. The assay shown is representative of 3 independent repeats. FLFH: Full length FH.
    Murine Monoclonal Anti Ic3b Antibody, supplied by Quidel, used in various techniques. Bioz Stars score: 95/100, based on 46 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    Images

    1) Product Images from "The role of complement factor I rare genetic variants in age related macular degeneration in Finland"

    Article Title: The role of complement factor I rare genetic variants in age related macular degeneration in Finland

    Journal: Human Molecular Genetics

    doi: 10.1093/hmg/ddae165

    Characterisation of alternative pathway C3b regulatory activity of CFI variants. (a) Alternative pathway fluid phase cofactor assays for CFI variants. Separation of C3b products by SDS-PAGE followed by Coomassie staining was used to assess activity by the loss of the α′ band and generation of the iC3b α1 band (68 kDa) and α2 (46,43 kDa) bands (b) Alternative pathway kinetic fluid phase analysis of C3b cofactor activity for CFI variants. The density of C3b α′ chain remaining following 7.5, 15 and 30 min at 37°C was measured. The density of the α′ chain band was normalised to the density of the β chain band (loading control) before the resultant figure was normalised to a negative control containing no FI, giving a proportion of α′ chain remaining compared to the zero FI control. Fluid phase assays were repeated 3 times. Using a 2-way ANOVA multiple comparison test, the normalised density for each variant was provided as the mean ± SD and compared to the mean of the WT. (c) Solid phase cofactor assay. Each CFI RV was titrated in a 1:4 serial dilution and incubated with C3b-coated beads with excess FH for 1 h to allow cleavage of C3b. Four parameter logistic regression curves are shown by lines (WT: Green, T107A: Purple, G328R: Red, S525A: Blue). Each point shows the median fluorescence intensity (MFI) of a minimum of 1000 beads. The assay shown is representative of 3 independent repeats. FLFH: Full length FH.
    Figure Legend Snippet: Characterisation of alternative pathway C3b regulatory activity of CFI variants. (a) Alternative pathway fluid phase cofactor assays for CFI variants. Separation of C3b products by SDS-PAGE followed by Coomassie staining was used to assess activity by the loss of the α′ band and generation of the iC3b α1 band (68 kDa) and α2 (46,43 kDa) bands (b) Alternative pathway kinetic fluid phase analysis of C3b cofactor activity for CFI variants. The density of C3b α′ chain remaining following 7.5, 15 and 30 min at 37°C was measured. The density of the α′ chain band was normalised to the density of the β chain band (loading control) before the resultant figure was normalised to a negative control containing no FI, giving a proportion of α′ chain remaining compared to the zero FI control. Fluid phase assays were repeated 3 times. Using a 2-way ANOVA multiple comparison test, the normalised density for each variant was provided as the mean ± SD and compared to the mean of the WT. (c) Solid phase cofactor assay. Each CFI RV was titrated in a 1:4 serial dilution and incubated with C3b-coated beads with excess FH for 1 h to allow cleavage of C3b. Four parameter logistic regression curves are shown by lines (WT: Green, T107A: Purple, G328R: Red, S525A: Blue). Each point shows the median fluorescence intensity (MFI) of a minimum of 1000 beads. The assay shown is representative of 3 independent repeats. FLFH: Full length FH.

    Techniques Used: Activity Assay, SDS Page, Staining, Control, Negative Control, Comparison, Variant Assay, Serial Dilution, Incubation, Fluorescence



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    sEVs bind to laminin on the PMs of living MRC-5 cells, as revealed by pseudo real-time super-resolution movie observation. (A) Schematic diagram for generating merged movies of dSTORM images of the ECM structures and single-particle images of sEVs. Data acquisition was performed by observing single-fluorescent molecules of ECM components immunostained with <t>SF650B-conjugated</t> antibodies at 200 frames/s (3,504 frames), and dSTORM images were reconstructed using the data acquired every 5.0 s (=1,002 frames). The first dSTORM image was reconstructed using frames 1–1,002, and the process was then repeated by shifting the initial frames backward by 6 frames; thus, 417 dSTORM images were obtained. These dSTORM still images were connected to construct the dSTORM movie. The single-particle movies of sEVs were subjected to a rolling average for 6 frames and synchronously merged with the dSTORM movie. (B–D) Conventional immunofluorescence images (top-left) and dSTORM images (bottom-left) of the ECM structures (B: fibronectin, C: collagen type I, and D: laminin) on the cells. dSTORM images of the ECM structures (magenta) and single-particle images of sEV–CD63Halo7-TMR particles (green) were merged (right). sEVs localized near (<100 nm) the boundary of ECM structures and sEVs localized alone are indicated by yellow and white arrowheads, respectively. (E) The image sequence (every 0.3 s) of laminin obtained by dSTORM (magenta) and a single sEV–CD63Halo7-TMR particle (green) on the living MRC-5 cell membrane. sEVs colocalized with laminin, as indicated by the yellow arrowhead. (F) Colocalization analysis method. We measured the nearest distance from an edge of the ECM structure to a centroid of the sEV spot and performed this measurement for all pairs of ECM structures and sEV particles. The normalized relative frequency was defined as the ratio of the average value of the spatial pair correlation function of the actual image to that of randomly distributed spots generated by a computer. We obtained histograms showing the distribution of the normalized relative frequency of sEVs at each distance from the edge of the ECM structures. Zero on the x axis indicates the contour of the ECM structures in the dSTORM images determined by the KDE method. When sEVs are enriched near the ECM structures, the normalized relative frequency is >1. (G) Probability density analysis of the sEVs and ECM structures. The colored areas indicate regions within the ECM structures. The sEV–CD63Halo7-TMR particles localized near the contour of laminin ( n = 20 cells).
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    Quidel murine monoclonal anti ic3b antibody
    Characterisation of alternative pathway C3b regulatory activity of CFI variants. (a) Alternative pathway fluid phase cofactor assays for CFI variants. Separation of C3b products by SDS-PAGE followed by Coomassie staining was used to assess activity by the loss of the α′ band and generation of the <t>iC3b</t> α1 band (68 kDa) and α2 (46,43 kDa) bands (b) Alternative pathway kinetic fluid phase analysis of C3b cofactor activity for CFI variants. The density of C3b α′ chain remaining following 7.5, 15 and 30 min at 37°C was measured. The density of the α′ chain band was normalised to the density of the β chain band (loading control) before the resultant figure was normalised to a negative control containing no FI, giving a proportion of α′ chain remaining compared to the zero FI control. Fluid phase assays were repeated 3 times. Using a 2-way ANOVA multiple comparison test, the normalised density for each variant was provided as the mean ± SD and compared to the mean of the WT. (c) Solid phase cofactor assay. Each CFI RV was titrated in a 1:4 serial dilution and incubated with C3b-coated beads with excess FH for 1 h to allow cleavage of C3b. Four parameter logistic regression curves are shown by lines (WT: Green, T107A: Purple, G328R: Red, S525A: Blue). Each point shows the median fluorescence intensity (MFI) of a minimum of 1000 beads. The assay shown is representative of 3 independent repeats. FLFH: Full length FH.
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    Image Search Results


    PS depletion attenuates the transient trapping of KRAS WT and oncogenic mutant molecules (A; left) Schematic representation of single-molecule imaging of a PS probe (evectin2 [2xPH]) in SW48 cells, with (bottom) or without (top) PS depletion via PSD expression. (Right) Schematic representation of single-molecule imaging of KRAS in SW48 cells with (bottom) or without (top) PS depletion. Activated KRAS (KRAS-GTP) forms nanoclusters facilitated by PS and/or CRD of BRAF, which associates with PS in the membrane. (B) Fluorescence images of SF650B-Halo7-evectin2 (2xPH) and mCherry-PSD in the presence (bottom) or absence (top) of PSD expression. Images were acquired using oblique angle illumination and TIRFM. Single fluorescent spots of evectin2 (2xPH) recruited to the PM are indicated by yellow arrowheads. (C) Quantification of evectin2 (2xPH) fluorescent spots recruited to the PM with or without PSD expression. Values were normalized to both total probe expression (measured via whole-cell fluorescence under oblique-angle illumination) and the observation area. (D–F) Temporal fractions of transient trapping (D), distributions of trapping durations (E), and trapping zone sizes (F) for KRAS WT, G13D, and G12V, with or without PSD expression, measured 2−5 min after EGF stimulation. The normalized number of recruited PS probe spots and the temporal fraction of trapped molecules are presented as box-and-whisker plots, displaying the minimum, maximum, sample median, sample mean (circle), first and third quartiles, and whiskers extending to a maximum of 1.5× interquartile range beyond the box. The size distribution of individual trapping zones is presented using both violin plots and box-and-whisker plots, illustrating the sample median, sample mean (circle), first and third quartiles, and whiskers extending to a maximum of 1.5× interquartile range beyond the box. Statistical analysis was performed using Welch’s t test.

    Journal: iScience

    Article Title: Single-molecule imaging quantifies oncogenic KRAS dynamics for enhanced accuracy of therapeutic efficacy assessment

    doi: 10.1016/j.isci.2025.113374

    Figure Lengend Snippet: PS depletion attenuates the transient trapping of KRAS WT and oncogenic mutant molecules (A; left) Schematic representation of single-molecule imaging of a PS probe (evectin2 [2xPH]) in SW48 cells, with (bottom) or without (top) PS depletion via PSD expression. (Right) Schematic representation of single-molecule imaging of KRAS in SW48 cells with (bottom) or without (top) PS depletion. Activated KRAS (KRAS-GTP) forms nanoclusters facilitated by PS and/or CRD of BRAF, which associates with PS in the membrane. (B) Fluorescence images of SF650B-Halo7-evectin2 (2xPH) and mCherry-PSD in the presence (bottom) or absence (top) of PSD expression. Images were acquired using oblique angle illumination and TIRFM. Single fluorescent spots of evectin2 (2xPH) recruited to the PM are indicated by yellow arrowheads. (C) Quantification of evectin2 (2xPH) fluorescent spots recruited to the PM with or without PSD expression. Values were normalized to both total probe expression (measured via whole-cell fluorescence under oblique-angle illumination) and the observation area. (D–F) Temporal fractions of transient trapping (D), distributions of trapping durations (E), and trapping zone sizes (F) for KRAS WT, G13D, and G12V, with or without PSD expression, measured 2−5 min after EGF stimulation. The normalized number of recruited PS probe spots and the temporal fraction of trapped molecules are presented as box-and-whisker plots, displaying the minimum, maximum, sample median, sample mean (circle), first and third quartiles, and whiskers extending to a maximum of 1.5× interquartile range beyond the box. The size distribution of individual trapping zones is presented using both violin plots and box-and-whisker plots, illustrating the sample median, sample mean (circle), first and third quartiles, and whiskers extending to a maximum of 1.5× interquartile range beyond the box. Statistical analysis was performed using Welch’s t test.

    Article Snippet: For covalent labeling of HaloTag7 with SF650B, cells were incubated with 50 nM SF650B-Halo ligand (GORYO CHEMICAL) in culture medium for 30 min at 37°C, followed by three washes with fresh medium to eliminate unbound ligand.

    Techniques: Mutagenesis, Imaging, Expressing, Membrane, Fluorescence, Whisker Assay

    sEVs bind to laminin on the PMs of living MRC-5 cells, as revealed by pseudo real-time super-resolution movie observation. (A) Schematic diagram for generating merged movies of dSTORM images of the ECM structures and single-particle images of sEVs. Data acquisition was performed by observing single-fluorescent molecules of ECM components immunostained with SF650B-conjugated antibodies at 200 frames/s (3,504 frames), and dSTORM images were reconstructed using the data acquired every 5.0 s (=1,002 frames). The first dSTORM image was reconstructed using frames 1–1,002, and the process was then repeated by shifting the initial frames backward by 6 frames; thus, 417 dSTORM images were obtained. These dSTORM still images were connected to construct the dSTORM movie. The single-particle movies of sEVs were subjected to a rolling average for 6 frames and synchronously merged with the dSTORM movie. (B–D) Conventional immunofluorescence images (top-left) and dSTORM images (bottom-left) of the ECM structures (B: fibronectin, C: collagen type I, and D: laminin) on the cells. dSTORM images of the ECM structures (magenta) and single-particle images of sEV–CD63Halo7-TMR particles (green) were merged (right). sEVs localized near (<100 nm) the boundary of ECM structures and sEVs localized alone are indicated by yellow and white arrowheads, respectively. (E) The image sequence (every 0.3 s) of laminin obtained by dSTORM (magenta) and a single sEV–CD63Halo7-TMR particle (green) on the living MRC-5 cell membrane. sEVs colocalized with laminin, as indicated by the yellow arrowhead. (F) Colocalization analysis method. We measured the nearest distance from an edge of the ECM structure to a centroid of the sEV spot and performed this measurement for all pairs of ECM structures and sEV particles. The normalized relative frequency was defined as the ratio of the average value of the spatial pair correlation function of the actual image to that of randomly distributed spots generated by a computer. We obtained histograms showing the distribution of the normalized relative frequency of sEVs at each distance from the edge of the ECM structures. Zero on the x axis indicates the contour of the ECM structures in the dSTORM images determined by the KDE method. When sEVs are enriched near the ECM structures, the normalized relative frequency is >1. (G) Probability density analysis of the sEVs and ECM structures. The colored areas indicate regions within the ECM structures. The sEV–CD63Halo7-TMR particles localized near the contour of laminin ( n = 20 cells).

    Journal: The Journal of Cell Biology

    Article Title: Extracellular vesicles adhere to cells primarily by interactions of integrins and GM1 with laminin

    doi: 10.1083/jcb.202404064

    Figure Lengend Snippet: sEVs bind to laminin on the PMs of living MRC-5 cells, as revealed by pseudo real-time super-resolution movie observation. (A) Schematic diagram for generating merged movies of dSTORM images of the ECM structures and single-particle images of sEVs. Data acquisition was performed by observing single-fluorescent molecules of ECM components immunostained with SF650B-conjugated antibodies at 200 frames/s (3,504 frames), and dSTORM images were reconstructed using the data acquired every 5.0 s (=1,002 frames). The first dSTORM image was reconstructed using frames 1–1,002, and the process was then repeated by shifting the initial frames backward by 6 frames; thus, 417 dSTORM images were obtained. These dSTORM still images were connected to construct the dSTORM movie. The single-particle movies of sEVs were subjected to a rolling average for 6 frames and synchronously merged with the dSTORM movie. (B–D) Conventional immunofluorescence images (top-left) and dSTORM images (bottom-left) of the ECM structures (B: fibronectin, C: collagen type I, and D: laminin) on the cells. dSTORM images of the ECM structures (magenta) and single-particle images of sEV–CD63Halo7-TMR particles (green) were merged (right). sEVs localized near (<100 nm) the boundary of ECM structures and sEVs localized alone are indicated by yellow and white arrowheads, respectively. (E) The image sequence (every 0.3 s) of laminin obtained by dSTORM (magenta) and a single sEV–CD63Halo7-TMR particle (green) on the living MRC-5 cell membrane. sEVs colocalized with laminin, as indicated by the yellow arrowhead. (F) Colocalization analysis method. We measured the nearest distance from an edge of the ECM structure to a centroid of the sEV spot and performed this measurement for all pairs of ECM structures and sEV particles. The normalized relative frequency was defined as the ratio of the average value of the spatial pair correlation function of the actual image to that of randomly distributed spots generated by a computer. We obtained histograms showing the distribution of the normalized relative frequency of sEVs at each distance from the edge of the ECM structures. Zero on the x axis indicates the contour of the ECM structures in the dSTORM images determined by the KDE method. When sEVs are enriched near the ECM structures, the normalized relative frequency is >1. (G) Probability density analysis of the sEVs and ECM structures. The colored areas indicate regions within the ECM structures. The sEV–CD63Halo7-TMR particles localized near the contour of laminin ( n = 20 cells).

    Article Snippet: For immunostaining of the ECM components for dSTORM movie observation, 0.67 μl of 5.6 μg/ml SaraFluor650B (SF650B; Goryo Chemical) NHS ester was incubated with 100 μl of 1 mg/ml anti-rabbit IgG antibody (0212-0081; Cappel) in 0.1 M NaHCO 3 for 60 min at room temperature.

    Techniques: Single Particle, Construct, Immunofluorescence, Sequencing, Membrane, Generated

    a,b , The time between two successive MINFLUX localizations for Nb GFP -HMSiR in datasets 1 and 2. The insets are EFO ( e mission f requency at o ffset) histograms. The EFO is a measure of the emission intensity. With a higher average EFO, the localization is less likely to fail since sufficient photons are collected within the dwell time of the localization. Longer localization times occur when the dwell time needs to be extended to collect enough photons. These EFO histograms reveal a significantly higher EFO peak within dataset 2 compared to dataset 1. This difference explains why the average localization time of dataset 1 was longer than dataset 2. We note that the different distributions of HMSiR localization times for the two datasets should have no material effect on the NPC reconstructions since the data were collected over 15–20 min and the NPC scaffolds have been shown to be stable over this time period . Further explanation and discussion of the EFO can be found in the and Extended Data Fig. . c,d , The time between two successive MINFLUX localizations for Imp α-JF549 in datasets 1 and 2. See Supplementary Tables and for acquisition parameters.

    Journal: Nature

    Article Title: Overlapping nuclear import and export paths unveiled by two-colour MINFLUX

    doi: 10.1038/s41586-025-08738-0

    Figure Lengend Snippet: a,b , The time between two successive MINFLUX localizations for Nb GFP -HMSiR in datasets 1 and 2. The insets are EFO ( e mission f requency at o ffset) histograms. The EFO is a measure of the emission intensity. With a higher average EFO, the localization is less likely to fail since sufficient photons are collected within the dwell time of the localization. Longer localization times occur when the dwell time needs to be extended to collect enough photons. These EFO histograms reveal a significantly higher EFO peak within dataset 2 compared to dataset 1. This difference explains why the average localization time of dataset 1 was longer than dataset 2. We note that the different distributions of HMSiR localization times for the two datasets should have no material effect on the NPC reconstructions since the data were collected over 15–20 min and the NPC scaffolds have been shown to be stable over this time period . Further explanation and discussion of the EFO can be found in the and Extended Data Fig. . c,d , The time between two successive MINFLUX localizations for Imp α-JF549 in datasets 1 and 2. See Supplementary Tables and for acquisition parameters.

    Article Snippet: The spontaneously blinking dye HMSiR maleimide (SaraFluor 650B-maleimide; A209-01, Goryo Chemical) was attached to the C-terminal cysteine on the anti-GFP nanobody LaG-9(S151C) by incubating with a 15-fold molar excess at room temperature for 15 min to yield Nb GFP –HMSiR.

    Techniques:

    a , Equal distribution of 32 NUP96 molecules between the cytoplasmic (maroon) and nucleoplasmic (orange) rings of human NPCs. Adapted from the electron microscopy density map EMD-2444 (refs. , , Springer Nature, and ref. , Cell Press). b – e , MINFLUX imaging of NPCs in permeabilized U2OS cells containing NUP96–mEGFP. The confocal image of eGFP fluorescence identifies the outline of a cell nucleus and a gold bead (100 nm) used for image stabilization (lower left corner, b ). A section of the bottom of the nucleus in b ( c ), and 3D MINFLUX imaging of NPCs ( d , e ) are also shown. Anti-GFP nanobodies (Nb GFP ) modified with the HMSiR blinking dye were used to visualize the NPCs within the region shown in c via the stochastic blinking of the dye. In d , the curvature of the nuclear envelope is apparent from the layers defined by the cytoplasmic and nucleoplasmic rings of the NPCs (see a ). In e , all NPCs identified by confocal imaging in c were detected. Coloration shows the z scale. During data collection, the cytoplasm was on the bottom, but images throughout this article were flipped to place the cytoplasm on top for consistency with convention. f , MINFLUX images of single NPCs (more examples in Extended Data Fig. ). g , h , Composite 2D histogram images of an averaged NPC obtained by aligning individual pores on the basis of their centroids and rotated on the basis of their expected eightfold rotational symmetry (see and Extended Data Fig. ; 37 cells, 541 NPCs, n = 82,331 localizations). The scale is percent of maximum. i , Localization precision determined from centroid deviations within HMSiR ‘trajectories’ (20 points or more per trajectory, 37 cells, 269 clusters; n = 32,184 localizations; σ x = 6.5 ± 0.1 nm (black), σ y = 7.0 ± 0.1 nm (red) and σ z = 4.2 ± 0.1 nm (blue)). The values σ x /σ y = 0.93 and σ x /σ z = 1.55 were assumed throughout this article. j , Jump step histogram analysis of localization precision. The predicted distribution assuming the localization precision values determined in i (blue curve) fits the experimental data (black) poorly, thus indicating that the method in i overestimates the localization precision. A simulation model assuming diffusional drift (red; n = 96,000 jump steps, 25 localizations per trajectory; σ x = 4.1 nm = 0.93σ y = 1.55σ z ; D x , D y and D z = 0.00072, 0.00083 and 0.0003 µm 2 s −1 , respectively) agrees with the data and yields the same centroid deviations as determined in i (see Extended Data Fig. ). See and Extended Data Fig. for a description of the analytical approach and a fit with no diffusional drift.

    Journal: Nature

    Article Title: Overlapping nuclear import and export paths unveiled by two-colour MINFLUX

    doi: 10.1038/s41586-025-08738-0

    Figure Lengend Snippet: a , Equal distribution of 32 NUP96 molecules between the cytoplasmic (maroon) and nucleoplasmic (orange) rings of human NPCs. Adapted from the electron microscopy density map EMD-2444 (refs. , , Springer Nature, and ref. , Cell Press). b – e , MINFLUX imaging of NPCs in permeabilized U2OS cells containing NUP96–mEGFP. The confocal image of eGFP fluorescence identifies the outline of a cell nucleus and a gold bead (100 nm) used for image stabilization (lower left corner, b ). A section of the bottom of the nucleus in b ( c ), and 3D MINFLUX imaging of NPCs ( d , e ) are also shown. Anti-GFP nanobodies (Nb GFP ) modified with the HMSiR blinking dye were used to visualize the NPCs within the region shown in c via the stochastic blinking of the dye. In d , the curvature of the nuclear envelope is apparent from the layers defined by the cytoplasmic and nucleoplasmic rings of the NPCs (see a ). In e , all NPCs identified by confocal imaging in c were detected. Coloration shows the z scale. During data collection, the cytoplasm was on the bottom, but images throughout this article were flipped to place the cytoplasm on top for consistency with convention. f , MINFLUX images of single NPCs (more examples in Extended Data Fig. ). g , h , Composite 2D histogram images of an averaged NPC obtained by aligning individual pores on the basis of their centroids and rotated on the basis of their expected eightfold rotational symmetry (see and Extended Data Fig. ; 37 cells, 541 NPCs, n = 82,331 localizations). The scale is percent of maximum. i , Localization precision determined from centroid deviations within HMSiR ‘trajectories’ (20 points or more per trajectory, 37 cells, 269 clusters; n = 32,184 localizations; σ x = 6.5 ± 0.1 nm (black), σ y = 7.0 ± 0.1 nm (red) and σ z = 4.2 ± 0.1 nm (blue)). The values σ x /σ y = 0.93 and σ x /σ z = 1.55 were assumed throughout this article. j , Jump step histogram analysis of localization precision. The predicted distribution assuming the localization precision values determined in i (blue curve) fits the experimental data (black) poorly, thus indicating that the method in i overestimates the localization precision. A simulation model assuming diffusional drift (red; n = 96,000 jump steps, 25 localizations per trajectory; σ x = 4.1 nm = 0.93σ y = 1.55σ z ; D x , D y and D z = 0.00072, 0.00083 and 0.0003 µm 2 s −1 , respectively) agrees with the data and yields the same centroid deviations as determined in i (see Extended Data Fig. ). See and Extended Data Fig. for a description of the analytical approach and a fit with no diffusional drift.

    Article Snippet: The spontaneously blinking dye HMSiR maleimide (SaraFluor 650B-maleimide; A209-01, Goryo Chemical) was attached to the C-terminal cysteine on the anti-GFP nanobody LaG-9(S151C) by incubating with a 15-fold molar excess at room temperature for 15 min to yield Nb GFP –HMSiR.

    Techniques: Electron Microscopy, Imaging, Fluorescence, Modification

    a , MINFLUX images of single NPCs. Images are 2D histograms of localizations for individual NPCs from permeabilized U2OS cells containing NUP96-mEGFP labeled with Nb GFP -HMSiR. b , Scatter plot of HMSiR localizations. Only high-density circular clusters were analyzed further ( squares ); deformed or incomplete clusters were rejected. c , Double-circle fitting. High quality localization clusters were fit to a double-circle model , reflecting the double-ring structure of the NPC. d , Rotation phase angle. The angles in the xy plane of the individual localizations in c relative to the centroid of the double-circle fit were binned (0–45°; assumes an eightfold periodicity), normalized, and fit to y = 1/9 + (1/20.6)*sin(8( x -ϕ)), as described previously . The 1/9 term reflects the average frequency expected for the 9 bins (5° each), and the sine scaling factor is a reasonable average based on simulations. Note that improving the chi-square of the fit by allowing for an adjustable scaling factor does not change the estimated phase angle due to the orthogonality of frequency and angle. e , 2D histogram of aligned NPC scaffolds. Localization clusters were rotated by a phase angle, as determined in d , and aligned based on their centroids, as determined in c (37 cells, 541 NPCs, N = 82,331 localizations). This is the same image as in Fig. . f , Angular distribution of rotationally corrected localizations. The angle distribution for the individual localizations in e was fit to y = 1/180 + c sin(8( x -ϕ)), where c and ϕ are fit parameters, and the 1/180 term reflects the average frequency expected for the 180 bins (2° each). g , The number of HMSiR localizations obtained per NPC scaffold. As few as ten localizations were used earlier to identify an NPC scaffold , but here more than 10-fold more localizations were obtained, on average.

    Journal: Nature

    Article Title: Overlapping nuclear import and export paths unveiled by two-colour MINFLUX

    doi: 10.1038/s41586-025-08738-0

    Figure Lengend Snippet: a , MINFLUX images of single NPCs. Images are 2D histograms of localizations for individual NPCs from permeabilized U2OS cells containing NUP96-mEGFP labeled with Nb GFP -HMSiR. b , Scatter plot of HMSiR localizations. Only high-density circular clusters were analyzed further ( squares ); deformed or incomplete clusters were rejected. c , Double-circle fitting. High quality localization clusters were fit to a double-circle model , reflecting the double-ring structure of the NPC. d , Rotation phase angle. The angles in the xy plane of the individual localizations in c relative to the centroid of the double-circle fit were binned (0–45°; assumes an eightfold periodicity), normalized, and fit to y = 1/9 + (1/20.6)*sin(8( x -ϕ)), as described previously . The 1/9 term reflects the average frequency expected for the 9 bins (5° each), and the sine scaling factor is a reasonable average based on simulations. Note that improving the chi-square of the fit by allowing for an adjustable scaling factor does not change the estimated phase angle due to the orthogonality of frequency and angle. e , 2D histogram of aligned NPC scaffolds. Localization clusters were rotated by a phase angle, as determined in d , and aligned based on their centroids, as determined in c (37 cells, 541 NPCs, N = 82,331 localizations). This is the same image as in Fig. . f , Angular distribution of rotationally corrected localizations. The angle distribution for the individual localizations in e was fit to y = 1/180 + c sin(8( x -ϕ)), where c and ϕ are fit parameters, and the 1/180 term reflects the average frequency expected for the 180 bins (2° each). g , The number of HMSiR localizations obtained per NPC scaffold. As few as ten localizations were used earlier to identify an NPC scaffold , but here more than 10-fold more localizations were obtained, on average.

    Article Snippet: The spontaneously blinking dye HMSiR maleimide (SaraFluor 650B-maleimide; A209-01, Goryo Chemical) was attached to the C-terminal cysteine on the anti-GFP nanobody LaG-9(S151C) by incubating with a 15-fold molar excess at room temperature for 15 min to yield Nb GFP –HMSiR.

    Techniques: Labeling

    a , Averaged structure for NPCs from uncorrected MINFLUX measurements (37 cells, 541 NPCs, 82,331 HMSiR localizations). b,c , The z ( b ) and radial ( c ) distributions for the data in a . The distance between the two peaks in b yields the ring separation (76.8 ± 0.8 nm), and the peak in c is considered the radius of the pore (51.1 ± 1.4 nm). The data/results for a-c are summarized in Supplementary Table (row 8). d , Averaged structure for NPCs from astigmatism measurements of the pore scaffolds used for the alignment of mEosEM data in Fig. and Extended Data Fig. (129 cells, 1453 NPCs, 17,234 HMSiR localizations). e,f , The z ( e ) and radial ( f ) distributions for the data in d . The data/results for d-f are summarized in Supplementary Table (rows 2–5). g , Averaged structure for NPCs from corrected MINFLUX measurements. The data in a were corrected by multiplying all z values by 0.67. This factor was determined as indicated in Supplementary Table (note ‘e’). The images on the left are shown in Fig. . h,i , The z ( h ) and radial ( i ) distributions for the data in g . Note that the radial distribution for the corrected MINFLUX data ( i ) is identical to c . The data/results for g-i are summarized in Supplementary Table (row 9).

    Journal: Nature

    Article Title: Overlapping nuclear import and export paths unveiled by two-colour MINFLUX

    doi: 10.1038/s41586-025-08738-0

    Figure Lengend Snippet: a , Averaged structure for NPCs from uncorrected MINFLUX measurements (37 cells, 541 NPCs, 82,331 HMSiR localizations). b,c , The z ( b ) and radial ( c ) distributions for the data in a . The distance between the two peaks in b yields the ring separation (76.8 ± 0.8 nm), and the peak in c is considered the radius of the pore (51.1 ± 1.4 nm). The data/results for a-c are summarized in Supplementary Table (row 8). d , Averaged structure for NPCs from astigmatism measurements of the pore scaffolds used for the alignment of mEosEM data in Fig. and Extended Data Fig. (129 cells, 1453 NPCs, 17,234 HMSiR localizations). e,f , The z ( e ) and radial ( f ) distributions for the data in d . The data/results for d-f are summarized in Supplementary Table (rows 2–5). g , Averaged structure for NPCs from corrected MINFLUX measurements. The data in a were corrected by multiplying all z values by 0.67. This factor was determined as indicated in Supplementary Table (note ‘e’). The images on the left are shown in Fig. . h,i , The z ( h ) and radial ( i ) distributions for the data in g . Note that the radial distribution for the corrected MINFLUX data ( i ) is identical to c . The data/results for g-i are summarized in Supplementary Table (row 9).

    Article Snippet: The spontaneously blinking dye HMSiR maleimide (SaraFluor 650B-maleimide; A209-01, Goryo Chemical) was attached to the C-terminal cysteine on the anti-GFP nanobody LaG-9(S151C) by incubating with a 15-fold molar excess at room temperature for 15 min to yield Nb GFP –HMSiR.

    Techniques:

    a-f , Simulated jump and R 2 / t histograms illustrating the effects of particle movement, time step duration, and precision. Conditions are indicated in the various panels. For a-d , isotropic diffusion ( D x = D y = D z ) was assumed; the value D = 0.055 µm 2 /s corresponds to the value obtained for species 3 of the best-fit for the localizations of the JF549 dye on Imp α (see Fig. ). The range of t values in a and b approximate the first ten values from the Imp α-JF549 time step histograms (Extended Data Fig. ). The precision (σ) values used in c-d correspond to the range used to simulate fits to experimental data. e-f show the effect of t for an immobilized particle. Jump step histograms are unaffected by t ( e ) since the measured jump step is determined entirely by the precision of the two localizations needed; in contrast, larger t values promote a sharp peak near zero in the R 2 / t histogram ( f ), which is the key observation that promoted the inclusion of species 1 for the fit in Fig. . g-i , Analysis of HMSiR localizations. g , The blue and red simulated fits and the black experimental data curve are identical datasets and parameters for those of the same color in Fig. . The green curve corresponds to simulations where σ x = 4.45 nm = 0.93σ y = 1.55σ z with no diffusional drift; thus, the centroid (molecular position) is constant throughout the trajectory and jump steps in x , y , and z are distributed according to the localization precision values, which do not agree with the localization precisions as estimated from experimental centroid deviations (Fig. ). So, the green fit cannot be considered consistent with the data despite the agreement with the experimental jump step and R 2 / t [see h ] histograms. The green and red curves substantially overlap and are therefore difficult to distinguish. h , R 2 / t histograms corresponding to the curves in g . i , To determine the effect of diffusional motion on the estimated precision, centroid deviations were calculated from the data for the red curve in g (same curve as in Fig. ) yielding estimated precision values of σ x = 6.5 nm, σ y = 7.0 nm, and σ z = 4.2 nm, which match those from the experimental centroid-based precision calculation (Fig. ). Note that the D x , D y , and D z values were adjusted to reproduce the experimental centroid deviations while keeping σ x = 0.93σ y = 1.55σ z . Due to particle movement during the acquisition of repeated localizations, the precision estimated from centroid deviations therefore overestimates the localization precision (simulation input: σ x = 4.1 nm, σ y = 4.4 nm, and σ z = 2.6). j-l , Analysis of Imp α-JF549 localizations. j,k , The black curves (experimental data) are identical to those in Fig. . The orange curves have parameters identical to the red curves in Fig. , except that particle rotation around a centroid with r = 6 nm was included for species 2, and the precision for this species was reduced to σ x = 7.2 nm = 0.93σ y = 1.55σ z . This approximates slow rotation within a confined region for a transport complex with the dye on the surface. A two species model did not allow for simultaneous good fits to both the jump step and the R 2 / t histograms. Two examples are provided. The blue curves correspond to simulations where σ x = 7.8 nm = 0.93σ y = 1.55σ z with 60% stuck particles and 40% of particles have D = 0.07 µm 2 /s. The green curves correspond to simulations with 58% stuck particles (σ x = 7.1 nm = 0.93σ y = 1.55σ z ) and 42% of particles have D = 0.065 µm 2 /s (σ x = 7.8 nm = 0.93σ y = 1.55σ z ). Note that for the jump step histograms the orange and blue curves largely overlap, and for the R 2 / t histograms the orange and green curves almost exactly overlap. l , A plot of R 2 vs ∆ t for Imp α-JF549 localizations supports the interpretation that the transiting particles are ‘stuck’ most of the time since the displacements do not follow an expected < R 2 > = 6 Dt profile for a diffusing particle. The red line is the expected slope (6 D ) for D = 0.055 µm 2 /s. For all simulations, the number of jump distances was N = 96,000 with 25 localizations per trajectory.

    Journal: Nature

    Article Title: Overlapping nuclear import and export paths unveiled by two-colour MINFLUX

    doi: 10.1038/s41586-025-08738-0

    Figure Lengend Snippet: a-f , Simulated jump and R 2 / t histograms illustrating the effects of particle movement, time step duration, and precision. Conditions are indicated in the various panels. For a-d , isotropic diffusion ( D x = D y = D z ) was assumed; the value D = 0.055 µm 2 /s corresponds to the value obtained for species 3 of the best-fit for the localizations of the JF549 dye on Imp α (see Fig. ). The range of t values in a and b approximate the first ten values from the Imp α-JF549 time step histograms (Extended Data Fig. ). The precision (σ) values used in c-d correspond to the range used to simulate fits to experimental data. e-f show the effect of t for an immobilized particle. Jump step histograms are unaffected by t ( e ) since the measured jump step is determined entirely by the precision of the two localizations needed; in contrast, larger t values promote a sharp peak near zero in the R 2 / t histogram ( f ), which is the key observation that promoted the inclusion of species 1 for the fit in Fig. . g-i , Analysis of HMSiR localizations. g , The blue and red simulated fits and the black experimental data curve are identical datasets and parameters for those of the same color in Fig. . The green curve corresponds to simulations where σ x = 4.45 nm = 0.93σ y = 1.55σ z with no diffusional drift; thus, the centroid (molecular position) is constant throughout the trajectory and jump steps in x , y , and z are distributed according to the localization precision values, which do not agree with the localization precisions as estimated from experimental centroid deviations (Fig. ). So, the green fit cannot be considered consistent with the data despite the agreement with the experimental jump step and R 2 / t [see h ] histograms. The green and red curves substantially overlap and are therefore difficult to distinguish. h , R 2 / t histograms corresponding to the curves in g . i , To determine the effect of diffusional motion on the estimated precision, centroid deviations were calculated from the data for the red curve in g (same curve as in Fig. ) yielding estimated precision values of σ x = 6.5 nm, σ y = 7.0 nm, and σ z = 4.2 nm, which match those from the experimental centroid-based precision calculation (Fig. ). Note that the D x , D y , and D z values were adjusted to reproduce the experimental centroid deviations while keeping σ x = 0.93σ y = 1.55σ z . Due to particle movement during the acquisition of repeated localizations, the precision estimated from centroid deviations therefore overestimates the localization precision (simulation input: σ x = 4.1 nm, σ y = 4.4 nm, and σ z = 2.6). j-l , Analysis of Imp α-JF549 localizations. j,k , The black curves (experimental data) are identical to those in Fig. . The orange curves have parameters identical to the red curves in Fig. , except that particle rotation around a centroid with r = 6 nm was included for species 2, and the precision for this species was reduced to σ x = 7.2 nm = 0.93σ y = 1.55σ z . This approximates slow rotation within a confined region for a transport complex with the dye on the surface. A two species model did not allow for simultaneous good fits to both the jump step and the R 2 / t histograms. Two examples are provided. The blue curves correspond to simulations where σ x = 7.8 nm = 0.93σ y = 1.55σ z with 60% stuck particles and 40% of particles have D = 0.07 µm 2 /s. The green curves correspond to simulations with 58% stuck particles (σ x = 7.1 nm = 0.93σ y = 1.55σ z ) and 42% of particles have D = 0.065 µm 2 /s (σ x = 7.8 nm = 0.93σ y = 1.55σ z ). Note that for the jump step histograms the orange and blue curves largely overlap, and for the R 2 / t histograms the orange and green curves almost exactly overlap. l , A plot of R 2 vs ∆ t for Imp α-JF549 localizations supports the interpretation that the transiting particles are ‘stuck’ most of the time since the displacements do not follow an expected < R 2 > = 6 Dt profile for a diffusing particle. The red line is the expected slope (6 D ) for D = 0.055 µm 2 /s. For all simulations, the number of jump distances was N = 96,000 with 25 localizations per trajectory.

    Article Snippet: The spontaneously blinking dye HMSiR maleimide (SaraFluor 650B-maleimide; A209-01, Goryo Chemical) was attached to the C-terminal cysteine on the anti-GFP nanobody LaG-9(S151C) by incubating with a 15-fold molar excess at room temperature for 15 min to yield Nb GFP –HMSiR.

    Techniques: Diffusion-based Assay

    a , Schematic of the concurrent import and export of Imp α labelled with JF549. The NPC structure was adapted from refs. , , AAAS. b , Target coordinate pattern. The MINFLUX 3D donut was scanned in a seven-point octahedral pattern (black dots) for the Imp α–JF549 tracking algorithm, yielding successive localizations (gold stars). The NPC structure was adapted from ref. , Springer Nature, ref. , AAAS and the RCSB Protein Data Bank . c , d , Unfiltered two-colour MINFLUX localization data obtained in the presence of transport mix. NPC localizations (blue; Nb GFP –HMSiR; see Fig. ) were collected for 20 min, and these were followed by tracking localizations (coloured z scale, Imp α–JF549) collected for 20 min. Views from the cytoplasm ( c ; xy ) and the side ( d ; xz ) for two different cells are shown. e , Tracks (magenta) that satisfied MINFLUX filtering criteria (see and Extended Data Fig. ) overlaid onto four NPC scaffolds (blue).

    Journal: Nature

    Article Title: Overlapping nuclear import and export paths unveiled by two-colour MINFLUX

    doi: 10.1038/s41586-025-08738-0

    Figure Lengend Snippet: a , Schematic of the concurrent import and export of Imp α labelled with JF549. The NPC structure was adapted from refs. , , AAAS. b , Target coordinate pattern. The MINFLUX 3D donut was scanned in a seven-point octahedral pattern (black dots) for the Imp α–JF549 tracking algorithm, yielding successive localizations (gold stars). The NPC structure was adapted from ref. , Springer Nature, ref. , AAAS and the RCSB Protein Data Bank . c , d , Unfiltered two-colour MINFLUX localization data obtained in the presence of transport mix. NPC localizations (blue; Nb GFP –HMSiR; see Fig. ) were collected for 20 min, and these were followed by tracking localizations (coloured z scale, Imp α–JF549) collected for 20 min. Views from the cytoplasm ( c ; xy ) and the side ( d ; xz ) for two different cells are shown. e , Tracks (magenta) that satisfied MINFLUX filtering criteria (see and Extended Data Fig. ) overlaid onto four NPC scaffolds (blue).

    Article Snippet: The spontaneously blinking dye HMSiR maleimide (SaraFluor 650B-maleimide; A209-01, Goryo Chemical) was attached to the C-terminal cysteine on the anti-GFP nanobody LaG-9(S151C) by incubating with a 15-fold molar excess at room temperature for 15 min to yield Nb GFP –HMSiR.

    Techniques:

    A description of the MINFLUX parameters reported in this figure and what they mean are described in the . a , The c enter f requency r atio (CFR) values obtained for the HMSiR channel (EX = 642 nm). The CFR is a measure of localization quality. The primary reason for a high CFR in these measurements is the contribution from a second fluorophore, which leads to inaccurate localization values. Thus, an upper bound cutoff of 0.8 was used for HMSiR localizations during acquisition (see ). b , The e ffective f requency at o ffset (EFO) for the HMSiR channel. Background, i.e., low-level emission from the permeabilized cells, was partially eliminated during acquisition of HMSiR dataset 1 by using an EFO > 25 kHz so as not to spend acquisition time on weak signals. A lower threshold of 15 kHz was used during the iteration sequence (Supplementary Table ), which still captures background (peak at ~20 kHz), but the 25 kHz threshold during pattern repeats (25 photons/ms) eliminated most of these weak signals. Post-acquisition, a trajectory length of ≥ 5 localizations reduced background contributions further. Also post-acquisition, an upper threshold of 60 kHz was used to eliminate localizations contaminated by on-switching of a second fluorophore. Due to the higher EFO values for HMSiR dataset 2 (see Extended Data Fig. , inset ), an EFO range of 50–100 kHz was used for this dataset. c,d , Detector channel ratio (DCR) for 561 nm excitation in the absence ( c ) and presence ( d ) of Imp α-JF549. Some background fluorescence in the JF549 channel was detectable within permeabilized U2OS NUP96-mEGFP cells that had been treated with Nb GFP -HMSiR but without addition of ‘transport mix’ (see ). This background signal ( c ) was identified and filtered out based on its DCR, which was generally higher than that of JF549 fluorescence. DCR is defined as the emission frequency in detector 1 divided by the emission frequencies measured for detector 1 + detector 2. Here, detector 1 = 650–685 nm and detector 2 = 580–630 nm. For cells without the transport mix ( c ), the DCR was mostly > 0.5 (40 min acquisition), whereas in the presence of the transport mix ( d ), most DCR values were <0.5, with the values above 0.5 likely reflecting the background. Thus, the data filtration criterion for tracking Imp α-JF549 was DCR < 0.5. e , CFR for the JF549 channel (EX = 561 nm). The data filtration criterion for JF549 was CFR < 0.8 and implemented post-acquisition. Unlike for HMSiR localizations where the CFR check during imaging was set to a low value to select for high quality localizations at the time of acquisition, for tracking Imp α-JF549 the CFR ratio was set to a large cut-off ( > 2.0) to avoid rejecting tracks that were temporarily interrupted. f , EFO for the JF549 channel (EX = 561 nm). This EFO distribution has peaks at ~37, 42, and 83 kHz. The distribution underlying the first peak represents background noise, and the latter two peaks result from the photon emission streams generated by one or two JF549 dyes. Imp α has four reactive cysteine residues and, while the protein was under-labeled with dye, some dual labeling could not be avoided. Since trafficking behavior was not expected to be influenced by the number of dyes on Imp α, the data filtration criterion was an EFO of 40–150 kHz. Of the 225 tracks used in the analysis, 19 had an EFO > 80 kHz (two JF549 dyes). Note that the clear third peak observed here is not present in b , indicating that simultaneous detection of more than one HMSiR dye was infrequent.

    Journal: Nature

    Article Title: Overlapping nuclear import and export paths unveiled by two-colour MINFLUX

    doi: 10.1038/s41586-025-08738-0

    Figure Lengend Snippet: A description of the MINFLUX parameters reported in this figure and what they mean are described in the . a , The c enter f requency r atio (CFR) values obtained for the HMSiR channel (EX = 642 nm). The CFR is a measure of localization quality. The primary reason for a high CFR in these measurements is the contribution from a second fluorophore, which leads to inaccurate localization values. Thus, an upper bound cutoff of 0.8 was used for HMSiR localizations during acquisition (see ). b , The e ffective f requency at o ffset (EFO) for the HMSiR channel. Background, i.e., low-level emission from the permeabilized cells, was partially eliminated during acquisition of HMSiR dataset 1 by using an EFO > 25 kHz so as not to spend acquisition time on weak signals. A lower threshold of 15 kHz was used during the iteration sequence (Supplementary Table ), which still captures background (peak at ~20 kHz), but the 25 kHz threshold during pattern repeats (25 photons/ms) eliminated most of these weak signals. Post-acquisition, a trajectory length of ≥ 5 localizations reduced background contributions further. Also post-acquisition, an upper threshold of 60 kHz was used to eliminate localizations contaminated by on-switching of a second fluorophore. Due to the higher EFO values for HMSiR dataset 2 (see Extended Data Fig. , inset ), an EFO range of 50–100 kHz was used for this dataset. c,d , Detector channel ratio (DCR) for 561 nm excitation in the absence ( c ) and presence ( d ) of Imp α-JF549. Some background fluorescence in the JF549 channel was detectable within permeabilized U2OS NUP96-mEGFP cells that had been treated with Nb GFP -HMSiR but without addition of ‘transport mix’ (see ). This background signal ( c ) was identified and filtered out based on its DCR, which was generally higher than that of JF549 fluorescence. DCR is defined as the emission frequency in detector 1 divided by the emission frequencies measured for detector 1 + detector 2. Here, detector 1 = 650–685 nm and detector 2 = 580–630 nm. For cells without the transport mix ( c ), the DCR was mostly > 0.5 (40 min acquisition), whereas in the presence of the transport mix ( d ), most DCR values were <0.5, with the values above 0.5 likely reflecting the background. Thus, the data filtration criterion for tracking Imp α-JF549 was DCR < 0.5. e , CFR for the JF549 channel (EX = 561 nm). The data filtration criterion for JF549 was CFR < 0.8 and implemented post-acquisition. Unlike for HMSiR localizations where the CFR check during imaging was set to a low value to select for high quality localizations at the time of acquisition, for tracking Imp α-JF549 the CFR ratio was set to a large cut-off ( > 2.0) to avoid rejecting tracks that were temporarily interrupted. f , EFO for the JF549 channel (EX = 561 nm). This EFO distribution has peaks at ~37, 42, and 83 kHz. The distribution underlying the first peak represents background noise, and the latter two peaks result from the photon emission streams generated by one or two JF549 dyes. Imp α has four reactive cysteine residues and, while the protein was under-labeled with dye, some dual labeling could not be avoided. Since trafficking behavior was not expected to be influenced by the number of dyes on Imp α, the data filtration criterion was an EFO of 40–150 kHz. Of the 225 tracks used in the analysis, 19 had an EFO > 80 kHz (two JF549 dyes). Note that the clear third peak observed here is not present in b , indicating that simultaneous detection of more than one HMSiR dye was infrequent.

    Article Snippet: The spontaneously blinking dye HMSiR maleimide (SaraFluor 650B-maleimide; A209-01, Goryo Chemical) was attached to the C-terminal cysteine on the anti-GFP nanobody LaG-9(S151C) by incubating with a 15-fold molar excess at room temperature for 15 min to yield Nb GFP –HMSiR.

    Techniques: Sequencing, Fluorescence, Filtration, Imaging, Generated, Labeling

    Characterisation of alternative pathway C3b regulatory activity of CFI variants. (a) Alternative pathway fluid phase cofactor assays for CFI variants. Separation of C3b products by SDS-PAGE followed by Coomassie staining was used to assess activity by the loss of the α′ band and generation of the iC3b α1 band (68 kDa) and α2 (46,43 kDa) bands (b) Alternative pathway kinetic fluid phase analysis of C3b cofactor activity for CFI variants. The density of C3b α′ chain remaining following 7.5, 15 and 30 min at 37°C was measured. The density of the α′ chain band was normalised to the density of the β chain band (loading control) before the resultant figure was normalised to a negative control containing no FI, giving a proportion of α′ chain remaining compared to the zero FI control. Fluid phase assays were repeated 3 times. Using a 2-way ANOVA multiple comparison test, the normalised density for each variant was provided as the mean ± SD and compared to the mean of the WT. (c) Solid phase cofactor assay. Each CFI RV was titrated in a 1:4 serial dilution and incubated with C3b-coated beads with excess FH for 1 h to allow cleavage of C3b. Four parameter logistic regression curves are shown by lines (WT: Green, T107A: Purple, G328R: Red, S525A: Blue). Each point shows the median fluorescence intensity (MFI) of a minimum of 1000 beads. The assay shown is representative of 3 independent repeats. FLFH: Full length FH.

    Journal: Human Molecular Genetics

    Article Title: The role of complement factor I rare genetic variants in age related macular degeneration in Finland

    doi: 10.1093/hmg/ddae165

    Figure Lengend Snippet: Characterisation of alternative pathway C3b regulatory activity of CFI variants. (a) Alternative pathway fluid phase cofactor assays for CFI variants. Separation of C3b products by SDS-PAGE followed by Coomassie staining was used to assess activity by the loss of the α′ band and generation of the iC3b α1 band (68 kDa) and α2 (46,43 kDa) bands (b) Alternative pathway kinetic fluid phase analysis of C3b cofactor activity for CFI variants. The density of C3b α′ chain remaining following 7.5, 15 and 30 min at 37°C was measured. The density of the α′ chain band was normalised to the density of the β chain band (loading control) before the resultant figure was normalised to a negative control containing no FI, giving a proportion of α′ chain remaining compared to the zero FI control. Fluid phase assays were repeated 3 times. Using a 2-way ANOVA multiple comparison test, the normalised density for each variant was provided as the mean ± SD and compared to the mean of the WT. (c) Solid phase cofactor assay. Each CFI RV was titrated in a 1:4 serial dilution and incubated with C3b-coated beads with excess FH for 1 h to allow cleavage of C3b. Four parameter logistic regression curves are shown by lines (WT: Green, T107A: Purple, G328R: Red, S525A: Blue). Each point shows the median fluorescence intensity (MFI) of a minimum of 1000 beads. The assay shown is representative of 3 independent repeats. FLFH: Full length FH.

    Article Snippet: The beads were washed and blocked in 5% BSA in Cell stain buffer (Bio-legend, 420201) before staining with a murine monoclonal anti-iC3b antibody (Quidel, A209; used at 1:1000) with shaking at RT for 30 mins.

    Techniques: Activity Assay, SDS Page, Staining, Control, Negative Control, Comparison, Variant Assay, Serial Dilution, Incubation, Fluorescence