Journal: medRxiv

Article Title: Polymorphism in IFNAR contributes to glucocorticoid response and outcome in ARDS and COVID-19

doi: 10.1101/2022.03.10.22272123

Figure Lengend Snippet: (A ) STAT1 expression in the lung after 4-day culture in the presence of IFN beta with or without hydrocortisone (HC). ( B) pSTAT1 expression in the same specimens as in A. ( C) Example photomicrographs showing higher STAT2 expression in a TT patient than in a CT patient and the effect of HC on its nuclear translocation. Most STAT2 remains in the cytoplasm of the CT patients, whereas nuclear expression is prominent in the TT patient. Indicated insets are shown in the bottom row. Arrows. ( D ) Combined results of all patients noting that two CT samples are excluded in the data as the patients were already under glucocorticoid treatment at the time of sample acquisition. Ns, not significant; *P<0.05; **P<0.01; and ***P<0.001

Article Snippet: The first stage antibodies were anti-alpha chain of the IFN alpha/beta receptor (St John’s Laboratory STJ112765) that was used 1:2000 and 1:5000 and anti-Stat1 (1:400, 9175S), anti-pStat1(1:100, 9167S) and anti-Stat2 (1:200, 72604S) all from Cell Signalling.

Techniques: Expressing, Translocation Assay

Journal: Cancers

Article Title: Drug-Induced Resistance and Phenotypic Switch in Triple-Negative Breast Cancer Can Be Controlled via Resolution and Targeting of Individualized Signaling Signatures

doi: 10.3390/cancers13195009

Figure Lengend Snippet: TNBC tissues are represented by different patient-specific signaling signatures, majority of which do not include EGFR. ( A ) Fold changes in expression levels of EGFR and pEGFR in TNBC and non-TNBC tumors are shown. Y1068 and Y1173 are EGFR phosphorylation sites; ( B ) Examples for patient-specific sets of active unbalanced processes are shown. Each sample harbors a set of 1–3 active unbalanced processes (PaSSS), represented schematically by a barcode. In each barcode active unbalanced processes are represented by black or gray squares, inactive white. Negative/positive amplitude denotes how the patients are correlated with respect to a particular process. Suggested PaSSS-based therapies appear below each barcode; ( C ) Heterogeneity index of 3 subgroups, represented by a ratio between the number of distinct PaSSSs and the number of samples in each subset, is shown for the TNBC subset of tissues, the entire set (3467 samples from 11 cancer types) and the subset of non-TNBC samples. (Abbreviations: TNBC—Triple Negative Breast Cancer, PaSSS—Patient-specific signaling signature, EGFR—Epidermal Growth Factor Receptor, VEGFR2—Vascular Endothelial Growth Factor Receptor 2, Her2—Human Epidermal growth factor Receptor 2, Src—Proto-oncogene tyrosine-protein kinase Src).

Article Snippet: The following conjugated antibodies were used: anti-p-EGFR (Y1068) (R&D Systems, Minneapolis, MN, USA, cat. no. IC3570G), anti-p-ERK2 (Thr202/Tyr204) (BioLegend, San Diego, CA, USA, cat. No. 675503), anti-p-S6 (Ser235/236) (BioLegend, cat. no. 608605), and anti-GAPDH (Santa Cruz Biotechnology, Dallas, Texas, USA, cat. no. sc-47724AF594).

Techniques: Expressing, Phospho-proteomics

Journal: Nature cell biology

Article Title: Enhancing nucleotide metabolism protects against mitochondrial dysfunction and neurodegeneration in a PINK1 model of Parkinson’s disease

doi: 10.1038/ncb2901

Figure Lengend Snippet: (a) Enhanced mtDNA synthesis in dNK transgenic flies. DNA synthesis was assessed using a BrdU assay (mean±s.e.m.; n = 12; asterisks, two-tailed paired t-test). (b) dNK flies show an increase in mtDNA. The ratio of mtDNA to nuclear DNA (nDNA) was measured by real-time PCR using third-instar larvae and 2-day-old flies with the indicated genotypes (mean±s.d.; n = 9; asterisks, two-tailed paired t-test). (c) dNK flies show an increase in mitochondrial oxidative phosphorylation proteins. Immunoblot of samples prepared from whole 2-day-old males. α-tubulin, loading control. (d) Enhanced respiration in dNK flies. Data are shown as the mean±s.d. (n = 3 per genotype; asterisks, two-tailed unpaired t-test). (e) dNK flies show a transcriptional upregulation of the PGC-1 family homologue Spargel and the nuclear-encoded mtDNA binding proteins Tfam, mtTFB1 and mtTFB2. Data are shown as the mean±s.e.m. (n values are indicated in the bars; asterisks, two-tailed unpaired t-test). (f) dNK expression increases protein levels of mtTFA. Lysates prepared from adult flies were subjected to western blot analysis with the indicated antibodies. (g) RNAi-mediated suppression of Tfam. Expression levels were measured by real-time PCR (relative mean Ct±s.e.m., n values are indicated). Statistically significant values relative to the control are indicated (one-way analysis of variance (ANOVA) with Bonferroni’s multiple comparison test). (h) Tfam is required for the dNK-mediated increase in mtDNA. The ratio of mtDNA to nDNA was measured by real-time PCR using 2-day-old flies with the indicated genotypes (mean±s.e.m.; n values are indicated; asterisks, one-way ANOVA with Bonferroni’s multiple comparison test, *** P < 0.0001). (i) dNK expression results in a generalized ATP increase in both young (2-day-old) and old (40-day-old) flies. Data are shown as the mean±s.d. from three independent experiments (n = 3 per genotype; asterisks, two-tailed paired t-test). (j) Ubiquitous expression of dNK enhances locomotor activity. Sixteen flies were tested for each genotype. (k) Ubiquitous expression of dNK enhances climbing ability. Flies were tested using a standard climbing assay (mean±s.e.m.; n = 100 flies per genotype; asterisks, two-tailed unpaired t-test). See also Supplementary Figs 2 and 9 and Table 9 for statistics source data of d,e,g-i.

Article Snippet: Antibodies Primary antibodies employed in this study were oxidative phosphorylation rodent cocktail, and NDUFS3/complex I 1:1,000 (Mitosciences), mtTFA (TFAM) 1:1,000 (Abcam, ab47548), tyrosine hydroxylase 1:1,000 (Millipore), α-tubulin 1:5,000 (SIGMA), SOD1 1:1,000 (SOD-100, Stressgen), SOD2 1:1,000 (SOD-110, Stressgen), dMfn 1:1,000 (a kind gift from A. Whitworth, MRC, Centre for Developmental and Biomedical Genetics, University of Sheffield).

Techniques: Transgenic Assay, DNA Synthesis, BrdU Staining, Two Tailed Test, Real-time Polymerase Chain Reaction, Phospho-proteomics, Western Blot, Control, Binding Assay, Expressing, Comparison, Activity Assay, Climbing Assay

Journal: The Journal of Cell Biology

Article Title: Membrane nanoclusters of FcγRI segregate from inhibitory SIRPα upon activation of human macrophages

doi: 10.1083/jcb.201608094

Figure Lengend Snippet: SIRPα and FcγRI are arranged in discrete nanoclusters at macrophage surfaces. (A and B) TIRF and dSTORM images of SIRPα (A) and FcγRI (B) at the surface of human macrophages seeded onto PLL- (nonactivated, top) or hIgG-coated slides (bottom) for 10 min and stained with fluorescently labeled specific antibodies. Bars, 5 µm. Regions delineated by white squares are zoomed-in and shown with corresponding density maps (pseudocolor scale), thresholded binary maps and Ripley’s K analysis of the molecules in the selected regions. Bars, 1 µm. L(r)-r represents the degree of clustering relative to simulated random distributions, indicated by the 99% confidence intervals (CIs); r is the radial scale. (C–E) Nanocluster areas (C), density (D), and percentage of localizations in nanoclusters (E) for SIRPα and FcγRI under nonactivating (black) or hIgG-activating (gray) conditions were calculated by subjecting dSTORM data to spatial point-pattern analysis and thresholding. Each symbol represents the median of several 5 × 5 µm regions from the same cell. Horizontal lines and error bars represent mean ± SD. Data are from a minimum of 30 cells from three independent donors. ns, not significant; ****, P < 0.0001; two-tailed t test assuming unequal variance. (F and G) Label-density variation analysis for SIRPα (F) and FcγRI (G) yields characteristic normalized ρ/η curves for clustered proteins. Cells were stained with anti–SIRPα-AF647 (F) or anti–FcγRI-AF488 (G) at different labeling concentrations and imaged by dSTORM. Each data point represents a single cell, color-coded by antibody concentration used for labeling. Red lines indicate reference curves for a random distribution of molecules.

Article Snippet: Primary monoclonal antibodies used for microscopy were anti-SIRPα (clone 4C7; AbD Serotec) conjugated in-house with AF647 (Invitrogen), anti–FcγRI-AF488 (clone 10.1; BioLegend), anti-FcγRII (clone FLI8.26; BD) conjugated in-house with Atto488 (Invitrogen) or AF647, and anti–PTPN6(Tyr536)-AF647 (Bioss).

Techniques: Staining, Labeling, Two Tailed Test, Concentration Assay

Journal: The Journal of Cell Biology

Article Title: Membrane nanoclusters of FcγRI segregate from inhibitory SIRPα upon activation of human macrophages

doi: 10.1083/jcb.201608094

Figure Lengend Snippet: SIRPα and FcγRI nanoclusters are constitutively associated in nonactivated human macrophages but segregate upon activation with hIgG. (A) TIRF and dSTORM images showing FcγRI (green) and SIRPα (red) at the surface of human macrophages incubated for 10 min on slides coated with PLL (nonactivated, top) or hIgG (middle) and stained with anti–FcγRI-AF488 and anti–SIRPα-AF647 mAbs. Bars, 5 µm. Regions outlined by the white squares (middle column) are shown enlarged (right columns) with relative fluorescence intensity profiles along the white lines. Bars, 1 µm. As a positive control, macrophages seeded onto PLL-coated slides were stained with anti–FcγRI-AF488 mAb followed by anti–mouse IgG1-AF647 secondary antibody (bottom). (B) CBC histograms of the single-molecule distributions of the colocalization parameter for SIRPα and FcγRI in cells seeded onto PLL- (gray) or hIgG-coated (red) slides for 10 min or for positive control data (green). Data are from a minimum of 30 cells from three independent donors. Bars represent mean ± SD. (C) Nearest-neighbor (NN) analysis from data shown in (B). Each symbol represents the median NN of all paired single-molecule localizations from one cell. Horizontal lines and error bars represent mean ± SD. ****, P < 0.0001; two-tailed t test assuming unequal variance. (D) Histogram distributions of the NND between the centroids of nanoclusters from one channel and the centroid of their nearest neighbor from the second channel (≥ 20,000 clusters from a minimum of 10 cells per condition) from cells seeded onto PLL- (light gray), hIgG-coated (light red) slides, or positive control data (green). Corresponding simulated data are also shown, in which the centroid positions of SIRPα nanoclusters in both nonactivating (dark gray) and hIgG-activating conditions (dark red) were randomized within the cell area.

Article Snippet: Primary monoclonal antibodies used for microscopy were anti-SIRPα (clone 4C7; AbD Serotec) conjugated in-house with AF647 (Invitrogen), anti–FcγRI-AF488 (clone 10.1; BioLegend), anti-FcγRII (clone FLI8.26; BD) conjugated in-house with Atto488 (Invitrogen) or AF647, and anti–PTPN6(Tyr536)-AF647 (Bioss).

Techniques: Activation Assay, Incubation, Staining, Fluorescence, Positive Control, Two Tailed Test

Journal: The Journal of Cell Biology

Article Title: Membrane nanoclusters of FcγRI segregate from inhibitory SIRPα upon activation of human macrophages

doi: 10.1083/jcb.201608094

Figure Lengend Snippet: SIRPα and the low-affinity Fc receptor, FcγRII, are segregated on a nanometer scale. (A) TIRF and dSTORM images showing FcγRII (green) and SIRPα (red) at the surface of human macrophages incubated for 10 or 30 min on slides coated with PLL (nonactivated) or hIgG and stained with anti–FcγRII-AF488 and anti–SIRPα-AF647 mAbs. Bars, 5 µm. In each condition, regions outlined by the white squares (middle column) are shown enlarged (right column) with relative fluorescence intensity profiles along the white lines. Bars, 1 µm. (B) CBC histograms of the single-molecule distributions of the colocalization parameter for SIRPα and FcγRII in cells seeded onto PLL- or hIgG-coated slides for 10 (light gray and dark gray, respectively) or 30 min (light red and dark red, respectively) or for positive control data (green). The positive control data in this figure is the same as in . Data are from a minimum of 30 cells from three independent donors. Bars represent mean ± SD. (C) NND analysis from data shown in B. Each symbol represents the median NND of all paired single-molecule localizations from one cell. Horizontal lines and error bars represent mean ± SD. ns, not significant; **, P < 0.01; ***, P < 0.001; one-way analysis of variance (ANOVA) with Tukey’s post-hoc test. (D) Histogram distributions of the NND between the centroids of nanoclusters from one channel and the centroid of their nearest neighbor from the second channel (≥20,000 clusters from a minimum of 10 cells per condition). a.u. arbitrary units; NN, nearest neighbor; PC, positive control.

Article Snippet: Primary monoclonal antibodies used for microscopy were anti-SIRPα (clone 4C7; AbD Serotec) conjugated in-house with AF647 (Invitrogen), anti–FcγRI-AF488 (clone 10.1; BioLegend), anti-FcγRII (clone FLI8.26; BD) conjugated in-house with Atto488 (Invitrogen) or AF647, and anti–PTPN6(Tyr536)-AF647 (Bioss).

Techniques: Incubation, Staining, Fluorescence, Positive Control

Journal: The Journal of Cell Biology

Article Title: Membrane nanoclusters of FcγRI segregate from inhibitory SIRPα upon activation of human macrophages

doi: 10.1083/jcb.201608094

Figure Lengend Snippet: FcγRs reorganize into concentric rings upon activation. (A) TIRF images of FcγRI (top) and FcγRII (bottom) at the surface of human macrophages incubated for 10 or 30 min on slides coated with PLL (nonactivated) or hIgG and stained with fluorescently labeled specific antibodies. Bars, 10 µm. (B) TIRF and dSTORM images of FcγRI (green) and FcγRII (red) at the surface of macrophages incubated for 10 or 30 min on slides coated with PLL or hIgG and stained with anti–FcγRI-AF488 and anti–FcγRII-AF647 mAbs. Bars, 5 µm. Regions outlined by the white squares (middle column) are shown enlarged (right column) with relative fluorescence intensity profiles along the white lines. Bars, 1 µm. (C) CBC histograms of the single-molecule distributions of the colocalization parameter for FcγRI and FcγRII in cells seeded onto PLL- or hIgG-coated slides for 10 (light gray and dark gray, respectively) or 30 min (light red and dark red, respectively) or for positive control data (green). The positive control data in this figure are the same as in . Data are from a minimum of 10 cells from three independent donors. Bars represent mean ± SD. (D) NND analysis from data shown in C. Each symbol represents the median NND of all paired single-molecule localizations from one cell. Horizontal lines and error bars represent mean ± SD. ns, not significant; **, P < 0.01; ****, P < 0.0001; one-way ANOVA with Tukey’s post-hoc test. (E) Histogram distributions of the NND between the centroids of nanoclusters from one channel and the centroid of their nearest neighbor from the second channel (≥20,000 clusters from a minimum of 10 cells per condition). a.u., arbitrary units; NN, nearest neighbor; PC, positive control.

Article Snippet: Primary monoclonal antibodies used for microscopy were anti-SIRPα (clone 4C7; AbD Serotec) conjugated in-house with AF647 (Invitrogen), anti–FcγRI-AF488 (clone 10.1; BioLegend), anti-FcγRII (clone FLI8.26; BD) conjugated in-house with Atto488 (Invitrogen) or AF647, and anti–PTPN6(Tyr536)-AF647 (Bioss).

Techniques: Activation Assay, Incubation, Staining, Labeling, Fluorescence, Positive Control

Journal: The Journal of Cell Biology

Article Title: Membrane nanoclusters of FcγRI segregate from inhibitory SIRPα upon activation of human macrophages

doi: 10.1083/jcb.201608094

Figure Lengend Snippet: Specific activation of FcγRI is required for its reorganization into concentric rings and segregation from SIRPα nanoclusters. (A and B) TIRF (bars, 10 µm) and dSTORM (bars, 5 µm) images showing FcγRI (green) and SIRPα (red) at the surface of human macrophages incubated for 10 (A) or 30 min (B) on slides coated with hIgG1 or hIgG2 and stained with anti–FcγRI-AF488 and anti–SIRPα-AF647 mAbs. In each condition, regions outlined by the white squares (middle column) are shown enlarged (right column) with relative fluorescence intensity profiles along the white lines. Bars, 1 µm. (C) CBC histograms of the single-molecule distributions of the colocalization parameter for FcγRI and SIRPα in cells seeded onto hIgG1- or hIgG2-coated slides for 10 (light gray and dark gray, respectively) or 30 min (light red and dark red, respectively). Data are from a minimum of 30 cells from three independent donors. Bars represent mean ± SD. (D) NND analysis from data shown in C. Each symbol represents the median NND of all paired single-molecule localizations from one cell. Horizontal lines and error bars represent mean ± SD. ns, not significant; **, P < 0.01; ****, P < 0.0001; one-way ANOVA with Tukey’s post-hoc test. (E) Histogram distributions of the NND between the centroids of nanoclusters from one channel and the centroid of their nearest neighbor from the second channel (≥20,000 clusters from a minimum of 10 cells per condition). a.u., arbitrary units; NN, nearest neighbor; PC, positive control.

Article Snippet: Primary monoclonal antibodies used for microscopy were anti-SIRPα (clone 4C7; AbD Serotec) conjugated in-house with AF647 (Invitrogen), anti–FcγRI-AF488 (clone 10.1; BioLegend), anti-FcγRII (clone FLI8.26; BD) conjugated in-house with Atto488 (Invitrogen) or AF647, and anti–PTPN6(Tyr536)-AF647 (Bioss).

Techniques: Activation Assay, Incubation, Staining, Fluorescence, Positive Control

Journal: The Journal of Cell Biology

Article Title: Membrane nanoclusters of FcγRI segregate from inhibitory SIRPα upon activation of human macrophages

doi: 10.1083/jcb.201608094

Figure Lengend Snippet: Rearrangement of macrophage surface receptors triggered by mobile hIgG. (A) TIRF images of FcγRI at the surface of human macrophages incubated for 10 min on SLBs loaded with streptavidin (nonactivating) or with streptavidin-hIgG (activating) and stained with a fluorescently labeled specific antibody. Two example images are shown for each condition. Bars, 10 µm. (B) dSTORM images of FcγRI (green) and SIRPα (red) at the surface of macrophages seeded as in A and stained with anti–FcγRI-AF488 and anti–SIRPα-AF647 mAbs. Bars, 5 µm. Regions outlined by the white squares are shown enlarged with relative fluorescence intensity profiles along the white lines. Bars, 1 µm. (C–E) Nanocluster areas (C), density (D), and percentage of localizations in nanoclusters (E) for SIRPα and FcγRI under nonactivating (black) or hIgG-activating (gray) conditions. Each symbol represents the median of several 5 × 5 µm regions from the same cell. Horizontal lines and error bars represent mean ± SD. Data are from a minimum of 30 cells from two independent experiments. ns, not significant; *, P < 0.05; ****, P < 0.0001; two-tailed t test assuming unequal variance. (F) CBC histograms of the single-molecule distributions of the colocalization parameter for SIRPα and FcγRI in cells seeded as in A. Data are from a minimum of 30 cells from two independent experiments. Bars represent mean ± SD. (G) NND analysis from data shown in F. Each symbol represents median NND of all paired single-molecule localizations from one cell. Horizontal lines and error bars represent mean ± SD. ****, P < 0.0001; two-tailed t test assuming unequal variance. (H) Histogram distributions of the NND between the centroids of nanoclusters from one channel and the centroid of their nearest neighbor from the second channel (≥10,000 clusters from a minimum of 10 cells per condition) from cells seeded onto control nonactivating (light gray) or hIgG-loaded activating (light red) SLBs.

Article Snippet: Primary monoclonal antibodies used for microscopy were anti-SIRPα (clone 4C7; AbD Serotec) conjugated in-house with AF647 (Invitrogen), anti–FcγRI-AF488 (clone 10.1; BioLegend), anti-FcγRII (clone FLI8.26; BD) conjugated in-house with Atto488 (Invitrogen) or AF647, and anti–PTPN6(Tyr536)-AF647 (Bioss).

Techniques: Incubation, Staining, Labeling, Fluorescence, Two Tailed Test

Journal: The Journal of Cell Biology

Article Title: Membrane nanoclusters of FcγRI segregate from inhibitory SIRPα upon activation of human macrophages

doi: 10.1083/jcb.201608094

Figure Lengend Snippet: Ligation of SIRPα impairs the reorganization of surface FcγRI. (A) Human macrophages were incubated for 24 h in wells coated with PLL, 20 µg/ml of hCD47, or with increasing concentrations of hCD47 in the presence of 10 µg/ml of hIgG, as indicated. M-CSF release was assessed by ELISA. Bars represent mean ± SD from three donors. Each color represents one individual donor. (B) TIRF images of FcγRI at the surface of human macrophages incubated for 10 min on slides coated with hCD47 or hCD47 plus hIgG and stained with fluorescently labeled specific antibody. Bars, 10 µm. (C) TIRF and dSTORM images showing FcγRI (green) and SIRPα (red) at the surface of human macrophages incubated for 10 min on slides coated with hCD47 (top) or hCD47 plus hIgG (bottom) and stained with anti–FcγRI-AF488 and anti–SIRPα-AF647 mAbs. Bars, 5 µm. In each condition, regions outlined by the white squares (middle column) are shown enlarged (right column) with relative fluorescence intensity profiles along the white lines. Bars, 1 µm. (D and G) CBC histograms of the single-molecule distributions of the colocalization parameter for FcγRI and SIRPα (D) and for FcγRI and pSHP-1 Y536 (G) in cells seeded onto slides coated with PLL (light gray), hCD47 (light red), hCD47 plus hIgG (dark red), or hIgG (dark gray) for 10 (D) or 5 min (G). Data are from a minimum of 30 cells from three independent donors. Bars represent mean ± SD. (E and H) NND analysis from data shown in D and G, respectively. Each symbol represents the median NND of all paired single-molecule localizations from one cell. Horizontal lines and error bars represent mean ± SD. ns, not significant; **, P < 0.01; ***, P < 0.001; ****, P < 0.0001; one-way ANOVA with Tukey’s post-hoc test. (F and I) Histogram distributions of the NND between the centroids of nanoclusters from one channel and the centroid of their nearest neighbor from the second channel (≥20,000 clusters from a minimum of 10 cells per condition). Graphs compare colocalization between FcγRI and SIRPα (F) and FCγRI and pSHP-1 Y536 (I). a.u., arbitrary units; NN, nearest neighbor; PC, positive control.

Article Snippet: Primary monoclonal antibodies used for microscopy were anti-SIRPα (clone 4C7; AbD Serotec) conjugated in-house with AF647 (Invitrogen), anti–FcγRI-AF488 (clone 10.1; BioLegend), anti-FcγRII (clone FLI8.26; BD) conjugated in-house with Atto488 (Invitrogen) or AF647, and anti–PTPN6(Tyr536)-AF647 (Bioss).

Techniques: Ligation, Incubation, Enzyme-linked Immunosorbent Assay, Staining, Labeling, Fluorescence, Positive Control

Journal: The Journal of Cell Biology

Article Title: Membrane nanoclusters of FcγRI segregate from inhibitory SIRPα upon activation of human macrophages

doi: 10.1083/jcb.201608094

Figure Lengend Snippet: Segregation and reorganization of FcγRI is dependent on the actin cytoskeleton and formins, but not myosin II. (A) TIRF image of FcγRI (white; bars, 20 µm) and dSTORM images (bars, 5 µm) of FcγRI (green) and SIRPα (red) at the surface of human macrophages pretreated with 1 µM latrunculin A, 0.5 µM jasplakinolide, 10 µM blebbistatin or 10 µM SMIFH2. Cells were then seeded onto slides coated with PLL (nonactivated) or hIgG for 10 min, and stained with anti-FcγRI-AF488 and anti-SIRPα-AF647 mAbs. In each condition, regions outlined by the white squares (middle column) are shown enlarged (right column). Bars, 1 µm. (B) CBC histograms of the single-molecule distributions of the colocalization parameter for FcγRI and SIRPα in cells pretreated with drugs as indicated and seeded onto slides coated with PLL (gray) or hIgG (latrunculin A [Lat A], dark gray; jasplakinolide [Jasp], red; SMIFH2, green; or blebbistatin [Bleb], blue) for 10 min. Data are from a minimum of 30 cells per condition from three independent donors. Bars represent mean ± SD. (C) NND analysis from data shown in B. Each symbol represents the median NND of all paired single-molecule localizations from one cell. Horizontal lines and error bars represent mean ± SD. ns, not significant; **, P < 0.01; ****, P < 0.0001; two-tailed t test assuming unequal variance. (D) Histogram distributions of the NND between the centroids of nanoclusters from one channel and the centroid of their nearest neighbor from the second channel (≥20,000 clusters from a minimum of 10 cells per condition). (E–G) Nanocluster areas (E), density (F), and percentage of localizations in nanoclusters (G) for SIRPα and FcγRI under nonactivating (black) or hIgG-activating (gray) conditions after pretreatment of cells with blebbistatin or DMSO control. Each symbol represents the median of several 5 × 5 µm regions from the same cell. Horizontal lines and error bars represent mean ± SD. Data are from a minimum of 30 cells from three independent donors. ns, not significant; *, P < 0.05; **, P < 0.01; ***, P < 0.001; ****, P < 0.0001; two-tailed t test assuming unequal variance. NN, nearest neighbor.

Article Snippet: Primary monoclonal antibodies used for microscopy were anti-SIRPα (clone 4C7; AbD Serotec) conjugated in-house with AF647 (Invitrogen), anti–FcγRI-AF488 (clone 10.1; BioLegend), anti-FcγRII (clone FLI8.26; BD) conjugated in-house with Atto488 (Invitrogen) or AF647, and anti–PTPN6(Tyr536)-AF647 (Bioss).

Techniques: Staining, Two Tailed Test

Journal: The Journal of Cell Biology

Article Title: Membrane nanoclusters of FcγRI segregate from inhibitory SIRPα upon activation of human macrophages

doi: 10.1083/jcb.201608094

Figure Lengend Snippet: Src-family kinase signaling, but not Syk or PI3K signaling, is indispensable for reorganization of macrophage surfaces. (A) Immunoblots of phosphorylated AKT in nonactivated (PLL) or hIgG-activated human macrophages pretreated with vehicle (DMSO), as a control, 10 µM PP2 (left), 100 µM piceatannol (PCT; middle), or 1 µM wortmannin (Wort; right). Blots represent two independent experiments. (B) TIRF image of FcγRI (white; bars, 20 µm) and dSTORM images (bars, 5 µm) of FcγRI (green) and SIRPα (red) at the surface of human macrophages incubated with vehicle (DMSO), PP2, PCT, or Wort, pretreated as in A. Cells were then seeded onto slides coated with PLL (nonactivated) or hIgG for 10 min and stained with anti–FcγRI-AF488 and anti–SIRPα-AF647 mAbs. In each condition, regions outlined by the white squares (middle column) are shown enlarged (right column). Bars, 1 µm. (C) CBC histograms for FcγRI and SIRPα in cells pretreated as in A and seeded onto slides coated with PLL (gray) or hIgG (DMSO, dark gray; PP2, red; PCT, green; and Wort, blue) for 10 min, as indicated. Data are from a minimum of 30 cells from three independent donors. Bars show mean ± SD. (D) NND analysis from data shown in C. Each symbol represents the median NND of all paired single-molecule localizations from one cell. Horizontal lines and error bars represent mean ± SD. ns, not significant; ****, P < 0.0001; one-way ANOVA with Tukey’s post-hoc test. (E) Histogram distributions of the NND between the centroids of nanoclusters from one channel and the centroid of their nearest neighbor from the second channel (≥20,000 clusters from a minimum of 10 cells per condition).

Article Snippet: Primary monoclonal antibodies used for microscopy were anti-SIRPα (clone 4C7; AbD Serotec) conjugated in-house with AF647 (Invitrogen), anti–FcγRI-AF488 (clone 10.1; BioLegend), anti-FcγRII (clone FLI8.26; BD) conjugated in-house with Atto488 (Invitrogen) or AF647, and anti–PTPN6(Tyr536)-AF647 (Bioss).

Techniques: Western Blot, Incubation, Staining

Journal: Cancer research

Article Title: Regulation of ERBB2 Receptor by t-DARPP Mediates Trastuzumab Resistance in Human Esophageal Adenocarcinoma

doi: 10.1158/0008-5472.CAN-12-1119

Figure Lengend Snippet: A) Significant mRNA overexpression of t-DARPP and ERBB2 in adenocarcinomas of the esophagus and stomach (141 tumors and 51 normal tissue samples) (p<0.001). B) Spearman’s correlation coefficient and correlation test where the cutoff gene expression is ≥log(5,2)=2.32, show that t-DARPP and ERBB2 overexpression levels are significantly correlated in tumors (r=0.58, p=0.003). C) The multivariate regression model analysis indicates that tumor stage has a significant effect on t-DARPP mRNA gene expression levels (p=0.02). D) Left panel, cell viability of OE19 and OE33 cells in response to trastuzumab treatment was evaluated by Trypan blue staining. OE19 cells were two-fold more sensitive to trastuzumab than OE33 cells (p<0.001). Right panel, Western blot analysis demonstrates higher protein expression of ERBB2 in OE19 cells than OE33 cells. In contrast, t-DARPP expression was undetectable in OE19 cells but highly expressed in OE33 cells.

Article Snippet: DARPP-32 antibody was purchased from Santa Cruz Biotechnology (Santa Cruz, CA), and P-ERBB2(Y1248) antibody was obtained from Abcam (San Francisco, CA).

Techniques: Over Expression, Expressing, Staining, Western Blot

Journal: Cancer research

Article Title: Regulation of ERBB2 Receptor by t-DARPP Mediates Trastuzumab Resistance in Human Esophageal Adenocarcinoma

doi: 10.1158/0008-5472.CAN-12-1119

Figure Lengend Snippet: A) ERBB2 protein stability in OE19 cells stably expressing t-DARPP or pcDNA3 empty vector was evaluated by Western blot analysis after treatment with 80 μg/ml CHX to block new protein synthesis for the indicated times. The protein degradation data indicate that t-DARPP expression extended the protein half-life of ERBB2 from 30.8 h to 42.2 h relative to control (lower panel). B) ERBB2 protein stability in parental and trastuzumab resistant OE19 cells was assessed by Western blot analysis after treatment with CHX (80 μg/ml) for the indicated times. The protein degradation data show that endogenous t-DARPP expression in resistant cells was associated with increased ERBB2 protein half-life (60.8 h) relative to parental cells (31.3 h) (lower panel). C) Western blot analysis of p-ERBB2 (Y1248), ERBB2, p-AKT (S473), AKT, and t-DARPP proteins in OE19 cells infected with control (10 MOI) or t-DARPP (10 MOI) adenoviruses after treatment with vehicle or trastuzumab (20 μg/ml) for 24 h. The data indicate that transient expression of t-DARPP increased p-ERBB2(Y1248) and p-AKT(S473) basal protein levels, and blocked trastuzumab-dependent dephosphorylation of ERBB2 and AKT proteins. D) Western blot analysis of p-ERBB2 (Y1248), ERBB2, p-AKT (S473), AKT, and t-DARPP proteins in OE19 cells stably expressing t-DARPP or pcDNA3 vector after treatment with vehicle or trastuzumab (20 μg/ml) for 24 h. The results show that stable expression of t-DARPP increased basal levels of p-ERBB2(Y1248) and p-AKT(S473), and inhibited trastuzumab-dependent dephosphorylation of ERBB2 and AKT proteins. E) Western blot analysis of p-ERBB2(Y1248), ERBB2, p-AKT(S473), AKT, and t-DARPP proteins in parental or trastuzumab resistant OE19 cells following treatment with vehicle or trastuzumab (20 μg/ml) for 24 h. The results indicate that endogenous t-DARPP expression was associated with increased basal levels of p-ERBB2(Y1248) and p-AKT(S473), and suppression of trastuzumab-dependent dephosphorylation of ERBB2 and AKT proteins.

Article Snippet: DARPP-32 antibody was purchased from Santa Cruz Biotechnology (Santa Cruz, CA), and P-ERBB2(Y1248) antibody was obtained from Abcam (San Francisco, CA).

Techniques: Stable Transfection, Expressing, Plasmid Preparation, Western Blot, Blocking Assay, Infection, De-Phosphorylation Assay

Journal: Cancer research

Article Title: Regulation of ERBB2 Receptor by t-DARPP Mediates Trastuzumab Resistance in Human Esophageal Adenocarcinoma

doi: 10.1158/0008-5472.CAN-12-1119

Figure Lengend Snippet: A) Western blot analysis of p-ERBB2(Y1248), ERBB2, p-AKT(S473), AKT, and t-DARPP proteins in OE33 cells transfected with control siRNA or t-DARPP siRNA and treated with vehicle or trastuzumab (20 μg/ml) for 48 h. The data indicate that knockdown of endogenous t-DARPP increased trastuzumab-dependent dephosphorylation of ERBB2 and AKT proteins. B) Cell viability of OE33 cells transfected with control siRNA or t-DARPP siRNA in response to treatment with vehicle or trastuzumab (20 μg/ml) for 48 h, was evaluated by CellTiter-Glo Luminescent CellViability Assay. The results revealed that knockdown of endogenous t-DARPP with treatment induced a significant decrease in cell survival (p<0.01).

Article Snippet: DARPP-32 antibody was purchased from Santa Cruz Biotechnology (Santa Cruz, CA), and P-ERBB2(Y1248) antibody was obtained from Abcam (San Francisco, CA).

Techniques: Western Blot, Transfection, De-Phosphorylation Assay

Journal: Cancer research

Article Title: Regulation of ERBB2 Receptor by t-DARPP Mediates Trastuzumab Resistance in Human Esophageal Adenocarcinoma

doi: 10.1158/0008-5472.CAN-12-1119

Figure Lengend Snippet: A) Western blot analysis of co-immunoprecipitated exogenous t-DARPP and endogenous ERBB2 proteins with M2-flag or trastuzumab antibodies in OE19 cells infected with t-DARPP-flag adenovirus (10 MOI). The data demonstrate protein association of ERBB2 with t-DARPP. B) Western blot analysis of immunoprecipitated endogenous ERBB2 protein with trastuzumab antibody in OE19 cells infected with control (10 MOI) or t-DARPP (10 MOI) adenoviruses. Pulled-down ERBB2 band intensity was depicted as a ratio relative to input ERBB2 protein. The results show that exogenous t-DARPP expression blocked binding of trastuzumab to ERBB2 receptor relative to control. C) Western blot analysis of immunoprecipitated endogenous ERBB2 protein with trastuzumab antibody in parental or trastuzumab resistant OE19 cells. The band intensity of immunoprecipitated ERBB2 protein was shown as a ratio relative to input ERBB2. The data indicate that endogenous t-DARPP expression in trastuzumab-resistant cells was associated with a significant decrease in trastuzumab/ERBB2 protein interaction relative to control.

Article Snippet: DARPP-32 antibody was purchased from Santa Cruz Biotechnology (Santa Cruz, CA), and P-ERBB2(Y1248) antibody was obtained from Abcam (San Francisco, CA).

Techniques: Western Blot, Immunoprecipitation, Infection, Expressing, Binding Assay