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hfab rhodamine anti actin primary antibody  (Bio-Rad)


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    Bio-Rad hfab rhodamine anti actin primary antibody
    Hfab Rhodamine Anti Actin Primary Antibody, supplied by Bio-Rad, used in various techniques. Bioz Stars score: 96/100, based on 144 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/rhodamine+anti+actin+antibody/hFAB+Rhodamine+Anti-Actin+Primary+Antibody/bio_rxiv__64898__2026__04__30__722011-222-88-93
    Average 96 stars, based on 144 article reviews
    hfab rhodamine anti actin primary antibody - by Bioz Stars, 2026-09
    96/100 stars

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    Article Title: Human cytomegalovirus triggered necroptosis is suppressed by sequestration of MLKL in the nucleus of infected monocytes
    Article Snippet: The following antibodies were used: anti-FLIP, anti-procaspase 8, anti-p-RIPK3 (S227), anti-pIRF3 (Ser396), anti-IRF3, anti-pIKKα/β (Ser176/180), anti-IKKβ, anti-TLR3, anti-MLKL, anti-p-MLKL (S358), anti-pAKT (S473), anti-AKT, anti-HDAC1 and anti-GAPDH were from Cell Signaling & Technology; anti-caspase 3 and anti-RIPK3 antibodies were from Santa Cruz; anti-IE1 antibody was a generous gift from Tom Shenk ( ); rhodamine anti-actin antibody was from Bio-Rad.

    Article Title: Human cytomegalovirus-triggered necroptosis is suppressed by sequestration of MLKL in the nucleus of infected monocytes.
    Article Snippet: The following antibodies were used: anti-FLIP, anti-procaspase-8, anti-p-RIPK3 (S227), anti-pIRF3 (Ser396), anti-IRF3, anti-pIKKα/β (Ser176/180), anti-IKKβ, anti-TLR3, anti-MLKL, anti-p-MLKL (S358), anti-pAKT (S473), anti-AKT, anti-HDAC1, and anti-GAPDH were from Cell Signaling Technology; anti-caspase-3 and anti-RIPK3 antibodies were from Santa Cruz; anti-IE1 antibody was a generous gift from Tom Shenk (86); and rhodamine anti-actin antibody was from Bio-Rad.

    Article Title: Human cytomegalovirus-triggered necroptosis is suppressed by sequestration of MLKL in the nucleus of infected monocytes
    Article Snippet: The following antibodies were used: anti-FLIP, anti-procaspase-8, anti-p-RIPK3 (S227), anti-pIRF3 (Ser396), anti-IRF3, anti-pIKKα/β (Ser176/180), anti-IKKβ, anti-TLR3, anti-MLKL, anti-p-MLKL (S358), anti-pAKT (S473), anti-AKT, anti-HDAC1, and anti-GAPDH were from Cell Signaling Technology; anti-caspase-3 and anti-RIPK3 antibodies were from Santa Cruz; anti-IE1 antibody was a generous gift from Tom Shenk ( ); and rhodamine anti-actin antibody was from Bio-Rad.

    Control:

    Article Title: Human Cytomegalovirus Glycoprotein-Initiated Signaling Mediates the Aberrant Activation of Akt
    Article Snippet: Blots were blocked in 5% bovine serum albumin (BSA) (Fisher Scientific, Waltham, MA) for 1 h at room temperature (RT) and then incubated with primary antibodies overnight at 4°C. .. The following antibodies were purchased from the indicated companies: anti-Akt, anti-phospho (p)-Akt (Ser473), anti-SHIP1, anti-p-SHIP1 (Tyr1020), anti-PI3K p110β, anti-EGFR, and anti-p-EGFR (Tyr1068) were from Cell Signaling Technology (Danvers, MA); anti-integrin β1 and anti-p-integrin β1 (Tyr783) were from Abcam (Cambridge, MA); anti-integrin β3 was from Novus Biologicals (Centennial, CO); anti-Mcl1 and anti-HSP27 were from Santa Cruz Biotechnology (Santa Cruz, CA); anti-glycoprotein B was from United States Biological (Salem, MA); anti-glycoprotein gH was from Thermo Fisher Scientific (Rockford, IL); and rhodamine anti-actin antibody was from Bio-Rad (Hercules, CA) and was used as loading control. .. The blots were then incubated with horseradish peroxidase (HRP)-conjugated secondary antibodies (Cell Signaling Technology) for 30 min at room temperature, and chemiluminescence was detected using the Clarity Western ECL substrate (Bio-Rad).

    Article Title: The Fanconi Anemia Pathway Inhibits mTOR Signaling and Prevents Accelerated Translation in Head and Neck Cancer Cells
    Article Snippet: Membranes were washed in TBST and incubated with ECL anti-rabbit (Thermo Fisher Scientific NA934V) or ECL anti-mouse (Thermo Fisher Scientific NA931V) secondary antibodies for 1 h at room temperature. .. Secondary antibody solution was made in 5% BSA with Rhodamine Anti-actin antibody (Bio-Rad 12004163) at a dilution of 1:5000 as a loading control. .. Blots were imaged on a Bio-Rad ChemiDoc Imager with Western Lightening ECL reagent (PerkinElmer NEL103001E, Shelton, CT, USA).

    Article Title: Human Cytomegalovirus Glycoprotein-Initiated Signaling Mediates the Aberrant Activation of Akt
    Article Snippet: Blots were blocked in 5% bovine serum albumin (BSA) (Fisher Scientific, Waltham, MA) for 1 h at room temperature (RT) and then incubated with primary antibodies overnight at 4°C. .. The following antibodies were purchased from the indicated companies: anti-Akt, anti-phospho (p)-Akt (Ser473), anti-SHIP1, anti-p-SHIP1 (Tyr1020), anti-PI3K p110 , anti-EGFR, and anti-p-EGFR (Tyr1068) were from Cell Signaling Technology (Danvers, MA); anti-integrin 1 and anti-p-integrin 1 (Tyr783) were from Abcam (Cambridge, MA); anti-integrin 3 was from Novus Biologicals (Centennial, CO); anti-Mcl1 and anti-HSP27 were from Santa Cruz Biotechnology (Santa Cruz, CA); anti-glycoprotein B was from United States Biological (Salem, MA); anti-glycoprotein gH was from Thermo Fisher Scientific (Rockford, IL); and rhodamine anti-actin antibody was from Bio-Rad (Hercules, CA) and was used as loading control. .. The blots were then incubated with horseradish peroxidase (HRP)-conjugated secondary antibodies (Cell Signaling Technology) for 30 min at room temperature, and chemiluminescence was detected using the Clarity Western ECL substrate (Bio-Rad).



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    SG formation is dependent on the PERK/eIF2α signaling pathway. CFBE cells were pretreated with DMSO, ISRIB or GSK and then exposed to 15% HBSS or smoke extract for 2 h. IF imaging or immunoblotting were then performed. ( A , B ) IF imaging showed that endogenous G3BP1 ( A ) and p-eIF2α ( B ) are homogenously distributed in the cell cytoplasm under control conditions (DMSO + HBSS). ( C ) Smoke exposure induced robust SG formation (white arrows) and ( D ) a significant increase in cytoplasmic eIF2α phosphorylation (p-eIF2α). ( E , F ) Pretreating cells with ISRIB, an inhibitor of p-eIF2α function, at 200 nM for 1 h prior to smoke extract exposure ( E ) completely abolished SG formation, establishing causality ( F ) without reducing p-eIF2α abundance. ( G , H ) Inhibiting p-PERK by pretreating cells with 2 µM GSK for 1 h prior to smoke extract exposure ( G ) completely blocked SG formation and ( H ) abrogated the increase in p-eIF2α levels, indicating that SG formation is PERK/eIF2α-dependent. ( I ) Quantitative nucleus-based image analysis of mean cytoplasmic p-eIF2α levels demonstrated a significant increase in cells’ response to smoke extract exposure as demonstrated by the 3-fold increase in cytoplasmic p-eIF2α fluorescence intensity (IF DMSO+HBSS = 724 ± 25, N DMSO+HBSS = 4, n DMSO+HBSS = 24; IF DMSO+Smoke = 1919 ± 48, N DMSO+Smoke = 16, n DMSO+Smoke = 120 (4 outliers were identified and excluded)). The analysis also showed that ISRIB pretreatment induced further accumulation and a significant increase in cytoplasmic p-eIF2α levels in response to smoke exposure (IF ISRIB+Smoke = 2464 ± 57, N ISRIB+Smoke = 7, n ISRIB+Smoke = 54). GSK pretreatment, on the other hand, significantly attenuated p-eIF2α increase in response to smoke exposure (IF GSK+Smoke = 1187 ± 34, N GSK+Smoke = 11, n GSK+Smoke = 82) without fully returning to the DMSO + HBSS baseline. ( J ) Quantitative nucleus-based image analysis of mean cytoplasmic p-eIF2α levels showed that pretreating cells with DMSO (drug vehicle control) did not induce significant change in cytoplasmic p-eIF2α levels under HBSS or smoke exposure conditions (IF HBSS = 725 ± 13, N HBSS = 18, n HBSS = 132 (1 outlier was identified and excluded); IF Smoke = 2249 ± 62, N Smoke = 19, n Smoke = 142). The nonparametric Kruskal–Wallis test was used to calculate significance in ( I , J ). ns: not significant, **: p = 0.01 and ****: p < 0.0001. Each ROI is an independent biological sample. ( K – N ) immunoblotting demonstrated a significant 5- to 7-fold increase in cellular p-eIF2α level in response to smoke exposure, with ISRIB pretreatment increasing this level non-significantly to 10-fold (N = 4, IB DMSO+HBSS = 1, IB DMSO+Smoke = 7 ± 1, IB ISRIB+Smoke = 10 ± 2). GSK pretreatment reduced p-eIF2α levels significantly but not to the DMSO + HBSS basal level (N = 5, IB DMSO+HBSS = 1, IB DMSO+Smoke = 5.1 ± 0.5, IB GSK+Smoke = 2.8 ± 0.5). Immunoblotting data were normalized to <t>β-Actin</t> protein level and then to the corresponding vehicle control. See also . Brown–Forsythe and Welch ANOVA tests were used to calculate significance in ( M , N ), with nd = no discovery and *: p < 0.03. Data are presented as mean ± SEM. Confocal image scale bar = 12.8 µm. Abbreviations: SEM = standard error of mean, SG = stress granule, ROI = region of interest, IF = immunofluorescence, IB = immunoblotting, N = the total number of independent immunofluorescence experiments and n = total number of technical replicates (or analyzed ROIs) in all immunofluorescence experiments (n = N × number of technical replicates per experiment). Western blot original images can be found in .
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    SG formation is dependent on the PERK/eIF2α signaling pathway. CFBE cells were pretreated with DMSO, ISRIB or GSK and then exposed to 15% HBSS or smoke extract for 2 h. IF imaging or immunoblotting were then performed. ( A , B ) IF imaging showed that endogenous G3BP1 ( A ) and p-eIF2α ( B ) are homogenously distributed in the cell cytoplasm under control conditions (DMSO + HBSS). ( C ) Smoke exposure induced robust SG formation (white arrows) and ( D ) a significant increase in cytoplasmic eIF2α phosphorylation (p-eIF2α). ( E , F ) Pretreating cells with ISRIB, an inhibitor of p-eIF2α function, at 200 nM for 1 h prior to smoke extract exposure ( E ) completely abolished SG formation, establishing causality ( F ) without reducing p-eIF2α abundance. ( G , H ) Inhibiting p-PERK by pretreating cells with 2 µM GSK for 1 h prior to smoke extract exposure ( G ) completely blocked SG formation and ( H ) abrogated the increase in p-eIF2α levels, indicating that SG formation is PERK/eIF2α-dependent. ( I ) Quantitative nucleus-based image analysis of mean cytoplasmic p-eIF2α levels demonstrated a significant increase in cells’ response to smoke extract exposure as demonstrated by the 3-fold increase in cytoplasmic p-eIF2α fluorescence intensity (IF DMSO+HBSS = 724 ± 25, N DMSO+HBSS = 4, n DMSO+HBSS = 24; IF DMSO+Smoke = 1919 ± 48, N DMSO+Smoke = 16, n DMSO+Smoke = 120 (4 outliers were identified and excluded)). The analysis also showed that ISRIB pretreatment induced further accumulation and a significant increase in cytoplasmic p-eIF2α levels in response to smoke exposure (IF ISRIB+Smoke = 2464 ± 57, N ISRIB+Smoke = 7, n ISRIB+Smoke = 54). GSK pretreatment, on the other hand, significantly attenuated p-eIF2α increase in response to smoke exposure (IF GSK+Smoke = 1187 ± 34, N GSK+Smoke = 11, n GSK+Smoke = 82) without fully returning to the DMSO + HBSS baseline. ( J ) Quantitative nucleus-based image analysis of mean cytoplasmic p-eIF2α levels showed that pretreating cells with DMSO (drug vehicle control) did not induce significant change in cytoplasmic p-eIF2α levels under HBSS or smoke exposure conditions (IF HBSS = 725 ± 13, N HBSS = 18, n HBSS = 132 (1 outlier was identified and excluded); IF Smoke = 2249 ± 62, N Smoke = 19, n Smoke = 142). The nonparametric Kruskal–Wallis test was used to calculate significance in ( I , J ). ns: not significant, **: p = 0.01 and ****: p < 0.0001. Each ROI is an independent biological sample. ( K – N ) immunoblotting demonstrated a significant 5- to 7-fold increase in cellular p-eIF2α level in response to smoke exposure, with ISRIB pretreatment increasing this level non-significantly to 10-fold (N = 4, IB DMSO+HBSS = 1, IB DMSO+Smoke = 7 ± 1, IB ISRIB+Smoke = 10 ± 2). GSK pretreatment reduced p-eIF2α levels significantly but not to the DMSO + HBSS basal level (N = 5, IB DMSO+HBSS = 1, IB DMSO+Smoke = 5.1 ± 0.5, IB GSK+Smoke = 2.8 ± 0.5). Immunoblotting data were normalized to <t>β-Actin</t> protein level and then to the corresponding vehicle control. See also . Brown–Forsythe and Welch ANOVA tests were used to calculate significance in ( M , N ), with nd = no discovery and *: p < 0.03. Data are presented as mean ± SEM. Confocal image scale bar = 12.8 µm. Abbreviations: SEM = standard error of mean, SG = stress granule, ROI = region of interest, IF = immunofluorescence, IB = immunoblotting, N = the total number of independent immunofluorescence experiments and n = total number of technical replicates (or analyzed ROIs) in all immunofluorescence experiments (n = N × number of technical replicates per experiment). Western blot original images can be found in .
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    SG formation is dependent on the PERK/eIF2α signaling pathway. CFBE cells were pretreated with DMSO, ISRIB or GSK and then exposed to 15% HBSS or smoke extract for 2 h. IF imaging or immunoblotting were then performed. ( A , B ) IF imaging showed that endogenous G3BP1 ( A ) and p-eIF2α ( B ) are homogenously distributed in the cell cytoplasm under control conditions (DMSO + HBSS). ( C ) Smoke exposure induced robust SG formation (white arrows) and ( D ) a significant increase in cytoplasmic eIF2α phosphorylation (p-eIF2α). ( E , F ) Pretreating cells with ISRIB, an inhibitor of p-eIF2α function, at 200 nM for 1 h prior to smoke extract exposure ( E ) completely abolished SG formation, establishing causality ( F ) without reducing p-eIF2α abundance. ( G , H ) Inhibiting p-PERK by pretreating cells with 2 µM GSK for 1 h prior to smoke extract exposure ( G ) completely blocked SG formation and ( H ) abrogated the increase in p-eIF2α levels, indicating that SG formation is PERK/eIF2α-dependent. ( I ) Quantitative nucleus-based image analysis of mean cytoplasmic p-eIF2α levels demonstrated a significant increase in cells’ response to smoke extract exposure as demonstrated by the 3-fold increase in cytoplasmic p-eIF2α fluorescence intensity (IF DMSO+HBSS = 724 ± 25, N DMSO+HBSS = 4, n DMSO+HBSS = 24; IF DMSO+Smoke = 1919 ± 48, N DMSO+Smoke = 16, n DMSO+Smoke = 120 (4 outliers were identified and excluded)). The analysis also showed that ISRIB pretreatment induced further accumulation and a significant increase in cytoplasmic p-eIF2α levels in response to smoke exposure (IF ISRIB+Smoke = 2464 ± 57, N ISRIB+Smoke = 7, n ISRIB+Smoke = 54). GSK pretreatment, on the other hand, significantly attenuated p-eIF2α increase in response to smoke exposure (IF GSK+Smoke = 1187 ± 34, N GSK+Smoke = 11, n GSK+Smoke = 82) without fully returning to the DMSO + HBSS baseline. ( J ) Quantitative nucleus-based image analysis of mean cytoplasmic p-eIF2α levels showed that pretreating cells with DMSO (drug vehicle control) did not induce significant change in cytoplasmic p-eIF2α levels under HBSS or smoke exposure conditions (IF HBSS = 725 ± 13, N HBSS = 18, n HBSS = 132 (1 outlier was identified and excluded); IF Smoke = 2249 ± 62, N Smoke = 19, n Smoke = 142). The nonparametric Kruskal–Wallis test was used to calculate significance in ( I , J ). ns: not significant, **: p = 0.01 and ****: p < 0.0001. Each ROI is an independent biological sample. ( K – N ) immunoblotting demonstrated a significant 5- to 7-fold increase in cellular p-eIF2α level in response to smoke exposure, with ISRIB pretreatment increasing this level non-significantly to 10-fold (N = 4, IB DMSO+HBSS = 1, IB DMSO+Smoke = 7 ± 1, IB ISRIB+Smoke = 10 ± 2). GSK pretreatment reduced p-eIF2α levels significantly but not to the DMSO + HBSS basal level (N = 5, IB DMSO+HBSS = 1, IB DMSO+Smoke = 5.1 ± 0.5, IB GSK+Smoke = 2.8 ± 0.5). Immunoblotting data were normalized to <t>β-Actin</t> protein level and then to the corresponding vehicle control. See also . Brown–Forsythe and Welch ANOVA tests were used to calculate significance in ( M , N ), with nd = no discovery and *: p < 0.03. Data are presented as mean ± SEM. Confocal image scale bar = 12.8 µm. Abbreviations: SEM = standard error of mean, SG = stress granule, ROI = region of interest, IF = immunofluorescence, IB = immunoblotting, N = the total number of independent immunofluorescence experiments and n = total number of technical replicates (or analyzed ROIs) in all immunofluorescence experiments (n = N × number of technical replicates per experiment). Western blot original images can be found in .
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    SG formation is dependent on the PERK/eIF2α signaling pathway. CFBE cells were pretreated with DMSO, ISRIB or GSK and then exposed to 15% HBSS or smoke extract for 2 h. IF imaging or immunoblotting were then performed. ( A , B ) IF imaging showed that endogenous G3BP1 ( A ) and p-eIF2α ( B ) are homogenously distributed in the cell cytoplasm under control conditions (DMSO + HBSS). ( C ) Smoke exposure induced robust SG formation (white arrows) and ( D ) a significant increase in cytoplasmic eIF2α phosphorylation (p-eIF2α). ( E , F ) Pretreating cells with ISRIB, an inhibitor of p-eIF2α function, at 200 nM for 1 h prior to smoke extract exposure ( E ) completely abolished SG formation, establishing causality ( F ) without reducing p-eIF2α abundance. ( G , H ) Inhibiting p-PERK by pretreating cells with 2 µM GSK for 1 h prior to smoke extract exposure ( G ) completely blocked SG formation and ( H ) abrogated the increase in p-eIF2α levels, indicating that SG formation is PERK/eIF2α-dependent. ( I ) Quantitative nucleus-based image analysis of mean cytoplasmic p-eIF2α levels demonstrated a significant increase in cells’ response to smoke extract exposure as demonstrated by the 3-fold increase in cytoplasmic p-eIF2α fluorescence intensity (IF DMSO+HBSS = 724 ± 25, N DMSO+HBSS = 4, n DMSO+HBSS = 24; IF DMSO+Smoke = 1919 ± 48, N DMSO+Smoke = 16, n DMSO+Smoke = 120 (4 outliers were identified and excluded)). The analysis also showed that ISRIB pretreatment induced further accumulation and a significant increase in cytoplasmic p-eIF2α levels in response to smoke exposure (IF ISRIB+Smoke = 2464 ± 57, N ISRIB+Smoke = 7, n ISRIB+Smoke = 54). GSK pretreatment, on the other hand, significantly attenuated p-eIF2α increase in response to smoke exposure (IF GSK+Smoke = 1187 ± 34, N GSK+Smoke = 11, n GSK+Smoke = 82) without fully returning to the DMSO + HBSS baseline. ( J ) Quantitative nucleus-based image analysis of mean cytoplasmic p-eIF2α levels showed that pretreating cells with DMSO (drug vehicle control) did not induce significant change in cytoplasmic p-eIF2α levels under HBSS or smoke exposure conditions (IF HBSS = 725 ± 13, N HBSS = 18, n HBSS = 132 (1 outlier was identified and excluded); IF Smoke = 2249 ± 62, N Smoke = 19, n Smoke = 142). The nonparametric Kruskal–Wallis test was used to calculate significance in ( I , J ). ns: not significant, **: p = 0.01 and ****: p < 0.0001. Each ROI is an independent biological sample. ( K – N ) immunoblotting demonstrated a significant 5- to 7-fold increase in cellular p-eIF2α level in response to smoke exposure, with ISRIB pretreatment increasing this level non-significantly to 10-fold (N = 4, IB DMSO+HBSS = 1, IB DMSO+Smoke = 7 ± 1, IB ISRIB+Smoke = 10 ± 2). GSK pretreatment reduced p-eIF2α levels significantly but not to the DMSO + HBSS basal level (N = 5, IB DMSO+HBSS = 1, IB DMSO+Smoke = 5.1 ± 0.5, IB GSK+Smoke = 2.8 ± 0.5). Immunoblotting data were normalized to <t>β-Actin</t> protein level and then to the corresponding vehicle control. See also . Brown–Forsythe and Welch ANOVA tests were used to calculate significance in ( M , N ), with nd = no discovery and *: p < 0.03. Data are presented as mean ± SEM. Confocal image scale bar = 12.8 µm. Abbreviations: SEM = standard error of mean, SG = stress granule, ROI = region of interest, IF = immunofluorescence, IB = immunoblotting, N = the total number of independent immunofluorescence experiments and n = total number of technical replicates (or analyzed ROIs) in all immunofluorescence experiments (n = N × number of technical replicates per experiment). Western blot original images can be found in .
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    SG formation is dependent on the PERK/eIF2α signaling pathway. CFBE cells were pretreated with DMSO, ISRIB or GSK and then exposed to 15% HBSS or smoke extract for 2 h. IF imaging or immunoblotting were then performed. ( A , B ) IF imaging showed that endogenous G3BP1 ( A ) and p-eIF2α ( B ) are homogenously distributed in the cell cytoplasm under control conditions (DMSO + HBSS). ( C ) Smoke exposure induced robust SG formation (white arrows) and ( D ) a significant increase in cytoplasmic eIF2α phosphorylation (p-eIF2α). ( E , F ) Pretreating cells with ISRIB, an inhibitor of p-eIF2α function, at 200 nM for 1 h prior to smoke extract exposure ( E ) completely abolished SG formation, establishing causality ( F ) without reducing p-eIF2α abundance. ( G , H ) Inhibiting p-PERK by pretreating cells with 2 µM GSK for 1 h prior to smoke extract exposure ( G ) completely blocked SG formation and ( H ) abrogated the increase in p-eIF2α levels, indicating that SG formation is PERK/eIF2α-dependent. ( I ) Quantitative nucleus-based image analysis of mean cytoplasmic p-eIF2α levels demonstrated a significant increase in cells’ response to smoke extract exposure as demonstrated by the 3-fold increase in cytoplasmic p-eIF2α fluorescence intensity (IF DMSO+HBSS = 724 ± 25, N DMSO+HBSS = 4, n DMSO+HBSS = 24; IF DMSO+Smoke = 1919 ± 48, N DMSO+Smoke = 16, n DMSO+Smoke = 120 (4 outliers were identified and excluded)). The analysis also showed that ISRIB pretreatment induced further accumulation and a significant increase in cytoplasmic p-eIF2α levels in response to smoke exposure (IF ISRIB+Smoke = 2464 ± 57, N ISRIB+Smoke = 7, n ISRIB+Smoke = 54). GSK pretreatment, on the other hand, significantly attenuated p-eIF2α increase in response to smoke exposure (IF GSK+Smoke = 1187 ± 34, N GSK+Smoke = 11, n GSK+Smoke = 82) without fully returning to the DMSO + HBSS baseline. ( J ) Quantitative nucleus-based image analysis of mean cytoplasmic p-eIF2α levels showed that pretreating cells with DMSO (drug vehicle control) did not induce significant change in cytoplasmic p-eIF2α levels under HBSS or smoke exposure conditions (IF HBSS = 725 ± 13, N HBSS = 18, n HBSS = 132 (1 outlier was identified and excluded); IF Smoke = 2249 ± 62, N Smoke = 19, n Smoke = 142). The nonparametric Kruskal–Wallis test was used to calculate significance in ( I , J ). ns: not significant, **: p = 0.01 and ****: p < 0.0001. Each ROI is an independent biological sample. ( K – N ) immunoblotting demonstrated a significant 5- to 7-fold increase in cellular p-eIF2α level in response to smoke exposure, with ISRIB pretreatment increasing this level non-significantly to 10-fold (N = 4, IB DMSO+HBSS = 1, IB DMSO+Smoke = 7 ± 1, IB ISRIB+Smoke = 10 ± 2). GSK pretreatment reduced p-eIF2α levels significantly but not to the DMSO + HBSS basal level (N = 5, IB DMSO+HBSS = 1, IB DMSO+Smoke = 5.1 ± 0.5, IB GSK+Smoke = 2.8 ± 0.5). Immunoblotting data were normalized to <t>β-Actin</t> protein level and then to the corresponding vehicle control. See also . Brown–Forsythe and Welch ANOVA tests were used to calculate significance in ( M , N ), with nd = no discovery and *: p < 0.03. Data are presented as mean ± SEM. Confocal image scale bar = 12.8 µm. Abbreviations: SEM = standard error of mean, SG = stress granule, ROI = region of interest, IF = immunofluorescence, IB = immunoblotting, N = the total number of independent immunofluorescence experiments and n = total number of technical replicates (or analyzed ROIs) in all immunofluorescence experiments (n = N × number of technical replicates per experiment). Western blot original images can be found in .
    Anti Actin Hfabtm Rhodamine Antibody Biorad Cat, supplied by Bio-Rad, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    96
    Bio-Rad rhodamine anti actin primary antibody
    SG formation is dependent on the PERK/eIF2α signaling pathway. CFBE cells were pretreated with DMSO, ISRIB or GSK and then exposed to 15% HBSS or smoke extract for 2 h. IF imaging or immunoblotting were then performed. ( A , B ) IF imaging showed that endogenous G3BP1 ( A ) and p-eIF2α ( B ) are homogenously distributed in the cell cytoplasm under control conditions (DMSO + HBSS). ( C ) Smoke exposure induced robust SG formation (white arrows) and ( D ) a significant increase in cytoplasmic eIF2α phosphorylation (p-eIF2α). ( E , F ) Pretreating cells with ISRIB, an inhibitor of p-eIF2α function, at 200 nM for 1 h prior to smoke extract exposure ( E ) completely abolished SG formation, establishing causality ( F ) without reducing p-eIF2α abundance. ( G , H ) Inhibiting p-PERK by pretreating cells with 2 µM GSK for 1 h prior to smoke extract exposure ( G ) completely blocked SG formation and ( H ) abrogated the increase in p-eIF2α levels, indicating that SG formation is PERK/eIF2α-dependent. ( I ) Quantitative nucleus-based image analysis of mean cytoplasmic p-eIF2α levels demonstrated a significant increase in cells’ response to smoke extract exposure as demonstrated by the 3-fold increase in cytoplasmic p-eIF2α fluorescence intensity (IF DMSO+HBSS = 724 ± 25, N DMSO+HBSS = 4, n DMSO+HBSS = 24; IF DMSO+Smoke = 1919 ± 48, N DMSO+Smoke = 16, n DMSO+Smoke = 120 (4 outliers were identified and excluded)). The analysis also showed that ISRIB pretreatment induced further accumulation and a significant increase in cytoplasmic p-eIF2α levels in response to smoke exposure (IF ISRIB+Smoke = 2464 ± 57, N ISRIB+Smoke = 7, n ISRIB+Smoke = 54). GSK pretreatment, on the other hand, significantly attenuated p-eIF2α increase in response to smoke exposure (IF GSK+Smoke = 1187 ± 34, N GSK+Smoke = 11, n GSK+Smoke = 82) without fully returning to the DMSO + HBSS baseline. ( J ) Quantitative nucleus-based image analysis of mean cytoplasmic p-eIF2α levels showed that pretreating cells with DMSO (drug vehicle control) did not induce significant change in cytoplasmic p-eIF2α levels under HBSS or smoke exposure conditions (IF HBSS = 725 ± 13, N HBSS = 18, n HBSS = 132 (1 outlier was identified and excluded); IF Smoke = 2249 ± 62, N Smoke = 19, n Smoke = 142). The nonparametric Kruskal–Wallis test was used to calculate significance in ( I , J ). ns: not significant, **: p = 0.01 and ****: p < 0.0001. Each ROI is an independent biological sample. ( K – N ) immunoblotting demonstrated a significant 5- to 7-fold increase in cellular p-eIF2α level in response to smoke exposure, with ISRIB pretreatment increasing this level non-significantly to 10-fold (N = 4, IB DMSO+HBSS = 1, IB DMSO+Smoke = 7 ± 1, IB ISRIB+Smoke = 10 ± 2). GSK pretreatment reduced p-eIF2α levels significantly but not to the DMSO + HBSS basal level (N = 5, IB DMSO+HBSS = 1, IB DMSO+Smoke = 5.1 ± 0.5, IB GSK+Smoke = 2.8 ± 0.5). Immunoblotting data were normalized to <t>β-Actin</t> protein level and then to the corresponding vehicle control. See also . Brown–Forsythe and Welch ANOVA tests were used to calculate significance in ( M , N ), with nd = no discovery and *: p < 0.03. Data are presented as mean ± SEM. Confocal image scale bar = 12.8 µm. Abbreviations: SEM = standard error of mean, SG = stress granule, ROI = region of interest, IF = immunofluorescence, IB = immunoblotting, N = the total number of independent immunofluorescence experiments and n = total number of technical replicates (or analyzed ROIs) in all immunofluorescence experiments (n = N × number of technical replicates per experiment). Western blot original images can be found in .
    Rhodamine Anti Actin Primary Antibody, supplied by Bio-Rad, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    rhodamine anti actin primary antibody - by Bioz Stars, 2026-09
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    96
    Bio-Rad secondary antibodies
    SG formation is dependent on the PERK/eIF2α signaling pathway. CFBE cells were pretreated with DMSO, ISRIB or GSK and then exposed to 15% HBSS or smoke extract for 2 h. IF imaging or immunoblotting were then performed. ( A , B ) IF imaging showed that endogenous G3BP1 ( A ) and p-eIF2α ( B ) are homogenously distributed in the cell cytoplasm under control conditions (DMSO + HBSS). ( C ) Smoke exposure induced robust SG formation (white arrows) and ( D ) a significant increase in cytoplasmic eIF2α phosphorylation (p-eIF2α). ( E , F ) Pretreating cells with ISRIB, an inhibitor of p-eIF2α function, at 200 nM for 1 h prior to smoke extract exposure ( E ) completely abolished SG formation, establishing causality ( F ) without reducing p-eIF2α abundance. ( G , H ) Inhibiting p-PERK by pretreating cells with 2 µM GSK for 1 h prior to smoke extract exposure ( G ) completely blocked SG formation and ( H ) abrogated the increase in p-eIF2α levels, indicating that SG formation is PERK/eIF2α-dependent. ( I ) Quantitative nucleus-based image analysis of mean cytoplasmic p-eIF2α levels demonstrated a significant increase in cells’ response to smoke extract exposure as demonstrated by the 3-fold increase in cytoplasmic p-eIF2α fluorescence intensity (IF DMSO+HBSS = 724 ± 25, N DMSO+HBSS = 4, n DMSO+HBSS = 24; IF DMSO+Smoke = 1919 ± 48, N DMSO+Smoke = 16, n DMSO+Smoke = 120 (4 outliers were identified and excluded)). The analysis also showed that ISRIB pretreatment induced further accumulation and a significant increase in cytoplasmic p-eIF2α levels in response to smoke exposure (IF ISRIB+Smoke = 2464 ± 57, N ISRIB+Smoke = 7, n ISRIB+Smoke = 54). GSK pretreatment, on the other hand, significantly attenuated p-eIF2α increase in response to smoke exposure (IF GSK+Smoke = 1187 ± 34, N GSK+Smoke = 11, n GSK+Smoke = 82) without fully returning to the DMSO + HBSS baseline. ( J ) Quantitative nucleus-based image analysis of mean cytoplasmic p-eIF2α levels showed that pretreating cells with DMSO (drug vehicle control) did not induce significant change in cytoplasmic p-eIF2α levels under HBSS or smoke exposure conditions (IF HBSS = 725 ± 13, N HBSS = 18, n HBSS = 132 (1 outlier was identified and excluded); IF Smoke = 2249 ± 62, N Smoke = 19, n Smoke = 142). The nonparametric Kruskal–Wallis test was used to calculate significance in ( I , J ). ns: not significant, **: p = 0.01 and ****: p < 0.0001. Each ROI is an independent biological sample. ( K – N ) immunoblotting demonstrated a significant 5- to 7-fold increase in cellular p-eIF2α level in response to smoke exposure, with ISRIB pretreatment increasing this level non-significantly to 10-fold (N = 4, IB DMSO+HBSS = 1, IB DMSO+Smoke = 7 ± 1, IB ISRIB+Smoke = 10 ± 2). GSK pretreatment reduced p-eIF2α levels significantly but not to the DMSO + HBSS basal level (N = 5, IB DMSO+HBSS = 1, IB DMSO+Smoke = 5.1 ± 0.5, IB GSK+Smoke = 2.8 ± 0.5). Immunoblotting data were normalized to <t>β-Actin</t> protein level and then to the corresponding vehicle control. See also . Brown–Forsythe and Welch ANOVA tests were used to calculate significance in ( M , N ), with nd = no discovery and *: p < 0.03. Data are presented as mean ± SEM. Confocal image scale bar = 12.8 µm. Abbreviations: SEM = standard error of mean, SG = stress granule, ROI = region of interest, IF = immunofluorescence, IB = immunoblotting, N = the total number of independent immunofluorescence experiments and n = total number of technical replicates (or analyzed ROIs) in all immunofluorescence experiments (n = N × number of technical replicates per experiment). Western blot original images can be found in .
    Secondary Antibodies, supplied by Bio-Rad, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/rhodamine+anti+actin+antibody/hFAB+Rhodamine+Anti-Actin+Primary+Antibody/pm41557480-311-0-13
    Average 96 stars, based on 1 article reviews
    secondary antibodies - by Bioz Stars, 2026-09
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    Image Search Results


    SG formation is dependent on the PERK/eIF2α signaling pathway. CFBE cells were pretreated with DMSO, ISRIB or GSK and then exposed to 15% HBSS or smoke extract for 2 h. IF imaging or immunoblotting were then performed. ( A , B ) IF imaging showed that endogenous G3BP1 ( A ) and p-eIF2α ( B ) are homogenously distributed in the cell cytoplasm under control conditions (DMSO + HBSS). ( C ) Smoke exposure induced robust SG formation (white arrows) and ( D ) a significant increase in cytoplasmic eIF2α phosphorylation (p-eIF2α). ( E , F ) Pretreating cells with ISRIB, an inhibitor of p-eIF2α function, at 200 nM for 1 h prior to smoke extract exposure ( E ) completely abolished SG formation, establishing causality ( F ) without reducing p-eIF2α abundance. ( G , H ) Inhibiting p-PERK by pretreating cells with 2 µM GSK for 1 h prior to smoke extract exposure ( G ) completely blocked SG formation and ( H ) abrogated the increase in p-eIF2α levels, indicating that SG formation is PERK/eIF2α-dependent. ( I ) Quantitative nucleus-based image analysis of mean cytoplasmic p-eIF2α levels demonstrated a significant increase in cells’ response to smoke extract exposure as demonstrated by the 3-fold increase in cytoplasmic p-eIF2α fluorescence intensity (IF DMSO+HBSS = 724 ± 25, N DMSO+HBSS = 4, n DMSO+HBSS = 24; IF DMSO+Smoke = 1919 ± 48, N DMSO+Smoke = 16, n DMSO+Smoke = 120 (4 outliers were identified and excluded)). The analysis also showed that ISRIB pretreatment induced further accumulation and a significant increase in cytoplasmic p-eIF2α levels in response to smoke exposure (IF ISRIB+Smoke = 2464 ± 57, N ISRIB+Smoke = 7, n ISRIB+Smoke = 54). GSK pretreatment, on the other hand, significantly attenuated p-eIF2α increase in response to smoke exposure (IF GSK+Smoke = 1187 ± 34, N GSK+Smoke = 11, n GSK+Smoke = 82) without fully returning to the DMSO + HBSS baseline. ( J ) Quantitative nucleus-based image analysis of mean cytoplasmic p-eIF2α levels showed that pretreating cells with DMSO (drug vehicle control) did not induce significant change in cytoplasmic p-eIF2α levels under HBSS or smoke exposure conditions (IF HBSS = 725 ± 13, N HBSS = 18, n HBSS = 132 (1 outlier was identified and excluded); IF Smoke = 2249 ± 62, N Smoke = 19, n Smoke = 142). The nonparametric Kruskal–Wallis test was used to calculate significance in ( I , J ). ns: not significant, **: p = 0.01 and ****: p < 0.0001. Each ROI is an independent biological sample. ( K – N ) immunoblotting demonstrated a significant 5- to 7-fold increase in cellular p-eIF2α level in response to smoke exposure, with ISRIB pretreatment increasing this level non-significantly to 10-fold (N = 4, IB DMSO+HBSS = 1, IB DMSO+Smoke = 7 ± 1, IB ISRIB+Smoke = 10 ± 2). GSK pretreatment reduced p-eIF2α levels significantly but not to the DMSO + HBSS basal level (N = 5, IB DMSO+HBSS = 1, IB DMSO+Smoke = 5.1 ± 0.5, IB GSK+Smoke = 2.8 ± 0.5). Immunoblotting data were normalized to β-Actin protein level and then to the corresponding vehicle control. See also . Brown–Forsythe and Welch ANOVA tests were used to calculate significance in ( M , N ), with nd = no discovery and *: p < 0.03. Data are presented as mean ± SEM. Confocal image scale bar = 12.8 µm. Abbreviations: SEM = standard error of mean, SG = stress granule, ROI = region of interest, IF = immunofluorescence, IB = immunoblotting, N = the total number of independent immunofluorescence experiments and n = total number of technical replicates (or analyzed ROIs) in all immunofluorescence experiments (n = N × number of technical replicates per experiment). Western blot original images can be found in .

    Journal: Biomolecules

    Article Title: Cigarette Smoke Induces Canonical Stress Granule Formation in Human Bronchial Epithelial Cells in Reactive Oxygen Species- and PERK-Dependent Manners

    doi: 10.3390/biom16040615

    Figure Lengend Snippet: SG formation is dependent on the PERK/eIF2α signaling pathway. CFBE cells were pretreated with DMSO, ISRIB or GSK and then exposed to 15% HBSS or smoke extract for 2 h. IF imaging or immunoblotting were then performed. ( A , B ) IF imaging showed that endogenous G3BP1 ( A ) and p-eIF2α ( B ) are homogenously distributed in the cell cytoplasm under control conditions (DMSO + HBSS). ( C ) Smoke exposure induced robust SG formation (white arrows) and ( D ) a significant increase in cytoplasmic eIF2α phosphorylation (p-eIF2α). ( E , F ) Pretreating cells with ISRIB, an inhibitor of p-eIF2α function, at 200 nM for 1 h prior to smoke extract exposure ( E ) completely abolished SG formation, establishing causality ( F ) without reducing p-eIF2α abundance. ( G , H ) Inhibiting p-PERK by pretreating cells with 2 µM GSK for 1 h prior to smoke extract exposure ( G ) completely blocked SG formation and ( H ) abrogated the increase in p-eIF2α levels, indicating that SG formation is PERK/eIF2α-dependent. ( I ) Quantitative nucleus-based image analysis of mean cytoplasmic p-eIF2α levels demonstrated a significant increase in cells’ response to smoke extract exposure as demonstrated by the 3-fold increase in cytoplasmic p-eIF2α fluorescence intensity (IF DMSO+HBSS = 724 ± 25, N DMSO+HBSS = 4, n DMSO+HBSS = 24; IF DMSO+Smoke = 1919 ± 48, N DMSO+Smoke = 16, n DMSO+Smoke = 120 (4 outliers were identified and excluded)). The analysis also showed that ISRIB pretreatment induced further accumulation and a significant increase in cytoplasmic p-eIF2α levels in response to smoke exposure (IF ISRIB+Smoke = 2464 ± 57, N ISRIB+Smoke = 7, n ISRIB+Smoke = 54). GSK pretreatment, on the other hand, significantly attenuated p-eIF2α increase in response to smoke exposure (IF GSK+Smoke = 1187 ± 34, N GSK+Smoke = 11, n GSK+Smoke = 82) without fully returning to the DMSO + HBSS baseline. ( J ) Quantitative nucleus-based image analysis of mean cytoplasmic p-eIF2α levels showed that pretreating cells with DMSO (drug vehicle control) did not induce significant change in cytoplasmic p-eIF2α levels under HBSS or smoke exposure conditions (IF HBSS = 725 ± 13, N HBSS = 18, n HBSS = 132 (1 outlier was identified and excluded); IF Smoke = 2249 ± 62, N Smoke = 19, n Smoke = 142). The nonparametric Kruskal–Wallis test was used to calculate significance in ( I , J ). ns: not significant, **: p = 0.01 and ****: p < 0.0001. Each ROI is an independent biological sample. ( K – N ) immunoblotting demonstrated a significant 5- to 7-fold increase in cellular p-eIF2α level in response to smoke exposure, with ISRIB pretreatment increasing this level non-significantly to 10-fold (N = 4, IB DMSO+HBSS = 1, IB DMSO+Smoke = 7 ± 1, IB ISRIB+Smoke = 10 ± 2). GSK pretreatment reduced p-eIF2α levels significantly but not to the DMSO + HBSS basal level (N = 5, IB DMSO+HBSS = 1, IB DMSO+Smoke = 5.1 ± 0.5, IB GSK+Smoke = 2.8 ± 0.5). Immunoblotting data were normalized to β-Actin protein level and then to the corresponding vehicle control. See also . Brown–Forsythe and Welch ANOVA tests were used to calculate significance in ( M , N ), with nd = no discovery and *: p < 0.03. Data are presented as mean ± SEM. Confocal image scale bar = 12.8 µm. Abbreviations: SEM = standard error of mean, SG = stress granule, ROI = region of interest, IF = immunofluorescence, IB = immunoblotting, N = the total number of independent immunofluorescence experiments and n = total number of technical replicates (or analyzed ROIs) in all immunofluorescence experiments (n = N × number of technical replicates per experiment). Western blot original images can be found in .

    Article Snippet: The hFABTM Rhodamine β-Actin and GAPDH primary antibodies were used for immunoblotting experiments (Bio-Rad).

    Techniques: Imaging, Western Blot, Control, Phospho-proteomics, Fluorescence, Immunofluorescence

    Reactive oxygen species activate the PERK/eIF2α signaling pathway and induce SG formation in response to smoke exposure. CFBE cells were pretreated with H 2 O or 5 mM NAC for 15 min and then exposed to 15% HBSS or smoke extract for 2 h. IF imaging and immunoblotting analyses were then performed. ( A – C ) Immunoblotting (IB) demonstrated a significant 7-fold increase in cellular p-eIF2α level in response to smoke exposure which was fully abolished upon pretreating cells with NAC (IB H2O+HBSS = 1, IB H2O+Smoke = 7.1 ± 0.9, IB NAC+Smoke = 1.4 ± 0.3; N H2O+HBSS = N H2O+Smoke = 36, N NAC+Smoke = 10). Additionally, immunoblotting showed that smoke exposure increased p-PERK level by 2.8-fold, which is also completely abolished by NAC pretreatment (IB H2O+HBSS = 1, IB H2O+Smoke = 2.8 ± 0.3, IB NAC+Smoke = 1.3 ± 0.2; N H2O+HBSS = 41, N H2O+Smoke = 40, N NAC+Smoke = 14). IB data were normalized to β-Actin protein level and then to the corresponding vehicle control. See also . ( D , E ) Confocal IF imaging showed that ( D ) endogenous G3BP1 and ( E ) p-eIF2α were homogenously distributed in the cell cytoplasm under control conditions (H 2 O + HBSS). ( F , G ) IF imaging showed that smoke extract exposure induced SG formation (white arrows) and a marked increase in cytoplasmic p-eIF2α abundance. ( H , I ) Pretreating cells with the ROS scavenger NAC prior to smoke extract exposure completely abolished SG formation and inhibited the increase in p-eIF2α levels, establishing that SG formation is ROS-driven in p-eIF2α-dependent manner. ( J ) Quantitative nucleus-based image analysis showed that NAC pretreatment significantly attenuated the significant 3-fold increase in cytoplasmic p-eIF2α level in response to smoke extract exposure (IF H2O+HBSS = 700 ± 9, IF H2O+Smoke = 2485 ± 75, IF NAC+Smoke = 899 ± 28; N H2O+HBSS = 5, n H2O+HBSS = 30; N H2O+Smoke = 8, n H2O+Smoke = 47 (1 outlier was identified and excluded); N NAC+Smoke = 9, n NAC+Smoke = 54). Each ROI is an independent biological sample. The nonparametric Kruskal–Wallis test was used to calculate significance in ( B , C , J ). ns: not significant, *: p < 0.03, **: p = 0.0095, ***: p = 0.0002, and ****: p < 0.0001. Data are presented as mean ± SEM. Confocal image scale bar = 12.8 µm. Abbreviations: SEM = standard error of mean, SG = stress granule, ROI for region of interest, IF = immunofluorescence, IB = immunoblotting, N = the total number of independent immunofluorescence experiments, and n = the total number of technical replicates (or analyzed ROIs) in all immunofluorescence experiments (n = N × number of technical replicates per experiment). Western blot original images can be found in .

    Journal: Biomolecules

    Article Title: Cigarette Smoke Induces Canonical Stress Granule Formation in Human Bronchial Epithelial Cells in Reactive Oxygen Species- and PERK-Dependent Manners

    doi: 10.3390/biom16040615

    Figure Lengend Snippet: Reactive oxygen species activate the PERK/eIF2α signaling pathway and induce SG formation in response to smoke exposure. CFBE cells were pretreated with H 2 O or 5 mM NAC for 15 min and then exposed to 15% HBSS or smoke extract for 2 h. IF imaging and immunoblotting analyses were then performed. ( A – C ) Immunoblotting (IB) demonstrated a significant 7-fold increase in cellular p-eIF2α level in response to smoke exposure which was fully abolished upon pretreating cells with NAC (IB H2O+HBSS = 1, IB H2O+Smoke = 7.1 ± 0.9, IB NAC+Smoke = 1.4 ± 0.3; N H2O+HBSS = N H2O+Smoke = 36, N NAC+Smoke = 10). Additionally, immunoblotting showed that smoke exposure increased p-PERK level by 2.8-fold, which is also completely abolished by NAC pretreatment (IB H2O+HBSS = 1, IB H2O+Smoke = 2.8 ± 0.3, IB NAC+Smoke = 1.3 ± 0.2; N H2O+HBSS = 41, N H2O+Smoke = 40, N NAC+Smoke = 14). IB data were normalized to β-Actin protein level and then to the corresponding vehicle control. See also . ( D , E ) Confocal IF imaging showed that ( D ) endogenous G3BP1 and ( E ) p-eIF2α were homogenously distributed in the cell cytoplasm under control conditions (H 2 O + HBSS). ( F , G ) IF imaging showed that smoke extract exposure induced SG formation (white arrows) and a marked increase in cytoplasmic p-eIF2α abundance. ( H , I ) Pretreating cells with the ROS scavenger NAC prior to smoke extract exposure completely abolished SG formation and inhibited the increase in p-eIF2α levels, establishing that SG formation is ROS-driven in p-eIF2α-dependent manner. ( J ) Quantitative nucleus-based image analysis showed that NAC pretreatment significantly attenuated the significant 3-fold increase in cytoplasmic p-eIF2α level in response to smoke extract exposure (IF H2O+HBSS = 700 ± 9, IF H2O+Smoke = 2485 ± 75, IF NAC+Smoke = 899 ± 28; N H2O+HBSS = 5, n H2O+HBSS = 30; N H2O+Smoke = 8, n H2O+Smoke = 47 (1 outlier was identified and excluded); N NAC+Smoke = 9, n NAC+Smoke = 54). Each ROI is an independent biological sample. The nonparametric Kruskal–Wallis test was used to calculate significance in ( B , C , J ). ns: not significant, *: p < 0.03, **: p = 0.0095, ***: p = 0.0002, and ****: p < 0.0001. Data are presented as mean ± SEM. Confocal image scale bar = 12.8 µm. Abbreviations: SEM = standard error of mean, SG = stress granule, ROI for region of interest, IF = immunofluorescence, IB = immunoblotting, N = the total number of independent immunofluorescence experiments, and n = the total number of technical replicates (or analyzed ROIs) in all immunofluorescence experiments (n = N × number of technical replicates per experiment). Western blot original images can be found in .

    Article Snippet: The hFABTM Rhodamine β-Actin and GAPDH primary antibodies were used for immunoblotting experiments (Bio-Rad).

    Techniques: Imaging, Western Blot, Control, Immunofluorescence