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Fig. 1 <t>PLK1</t> directly binds to RhoGDI1 in vitro and in vivo. a 293 T cells were co-transfected with HA-tagged PLK1 and Flag-tagged RhoGDI1. Cell lysates were immunoprecipitated with HA (left) or Flag antibody (right). Immunoprecipitates and total lysates were immunoblotted with HA and Flag antibodies. b Cell lysates from HeLa were immunoprecipitated with IgG (as control) or PLK1 antibodies, and immunoblotted with PLK1 or RhoGDI1 antibodies. c Proximity ligation assay (PLA) was performed with PLK1 and RhoGDI1 antibodies in HeLa cells. Representative fluorescence images show blue (DAPI) staining nuclei and red dots (PLA signals). Scale bars: 50 μm. d His-tagged PLK1 and GST-tagged RhoGDI1 were expressed in E.coli. GST pull-down assay was performed with His-PLK1 expression lysates and purified GST-RhoGDI1. The GST pull-down products were immunoblotted with PLK1 and GST antibodies
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Figure 1. <t>Plk1</t> overexpression drives inflammatory monocyte recruitment as a consequence of the SASP (A) Schematic showing the mouse models used in this study, where Her2 mammary tumors show low levels of CIN and Her2-Plk1 overexpression results in high CIN tumors. (B) Average SCNAs in 10 Her2 and 10 Her2-Plk1 tumors; unpaired t test, p = 0.0004. (C) SCNAs in 10 Her2 and 10 Her2-Plk1 mammary tumors. Shown are whole-chromosome gain (WCG) and whole-chromosome loss (WCL), focal amplification (AMP), deletion (DEL) and gross chromosomal rearrangement (GCR). (D) Total transcriptome of Her2 and Her2-Plk1 tumor tissues was analyzed by bulk RNA-seq. Heatmap showing differentially expressed cell cycle and SASP- related genes (fold change [FC] > 1.5 or < 1.5, p < 0.05, n = 3 tumors per genotype).
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A) Schematic representation showing the mouse models used in this study, where Her2 mammary tumors show low levels of CIN and <t>Her2-Plk1</t> overexpression results in high CIN tumors. B ) Average SCNAs in Her2 and Her2/Plk1 tumors; Unpaired t test, p = 0.012. C ) SCNAs in 10 Her2 and 10 Her2/Plk1 mammary tumors. Shown are whole chromosome gain (WCG) and loss (WCL), partial chromosome gain (PCG) and loss (PCL), focal amplification (AMP), deletion (DEL) and gross chromosomal rearrangement (GCR). D) Total transcriptome of Her2 and Her2-Plk1 tumor tissues was analyzed by bulk RNA-sequencing. Heatmap showing differentially expressed cell cycle and SASP-related genes (Fold change (FC) > 1.5 or < −1.5, p <0.05, n=3 tumors per genotype). E) GSEA using gene sets from KEGG pathways as analyzed by cluster profiler. Pathways overrepresented in Her2-Plk1 tumors are shown in yellow, whereas pathways overrepresented in Her2 tumors are displayed in blue. F) Fluorometric measurement of ß-galactosidase activity in Her2 and Her2-Plk1 tumor lysates (Mann Whitney test p<0.005**, n=10 (Her2) and n=16 (Her2-Plk1)). G) Cytokine array of tumor lysates of Her2 and Her2-Plk1 showing increased CXCL1, IL16 and IL1RN in the high CIN group (p<0.05* p<0.0005***, 2-way ANOVA, Sidak’s multiple comparison test, n=3). H) Characterization of TAM’s and monocytes. Live CD45 + CD11b + cells were divided into two groups based on Ly6C and MHCII. Flow cytometric analysis of inflammatory monocytes (Ly6c high MHCII low ) and M1 TAMs (Ly6c low MHCII high) in endpoint tumors (p<0.05*, n=5 (Her2) and n=8 (Her2-Plk1)).
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Fig. 2 Effects of miR-183-5p on cell viability and synergistic response to combined miR-183-5p overexpression and NMS-P937 treatment. A WST8 assay demonstrating the effects of NMS-P937 treatment: 0, 10, 25, 50, 75, 100, and 150 nM after transfection with negative control (NC) or miR-183-5p or <t>si-PLK1.</t> Left hand graphs. TNBC cell lines MDA-MB-231 (top left, p-value = 3.26e-14) and BT549 (top right, p-value = 0.00112). Luminal A cell lines T47D (lower left, p-value < 2e-16) and ZR-75-1 (lower right p-value = 1.93e-6). Right hand graphs. Assay was repeated using si-PLK1. Data (N = 3/group) are mean + SD. **p-value <0.05, ***p-value <0.001 calculated by ANOVA. B Left: Matrices demonstrating MDA-MB-231 and T47D cell lines treated with different concentrations of miR-183-5p and NMS-P937, then analyzed to determine cell mortality (% inhibition). Right: Bliss score shows a synergistic effect present on cell mortality between miR-183-5p overexpression and NMS-P937 treatment.
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Fig. 2 Effects of miR-183-5p on cell viability and synergistic response to combined miR-183-5p overexpression and NMS-P937 treatment. A WST8 assay demonstrating the effects of NMS-P937 treatment: 0, 10, 25, 50, 75, 100, and 150 nM after transfection with negative control (NC) or miR-183-5p or <t>si-PLK1.</t> Left hand graphs. TNBC cell lines MDA-MB-231 (top left, p-value = 3.26e-14) and BT549 (top right, p-value = 0.00112). Luminal A cell lines T47D (lower left, p-value < 2e-16) and ZR-75-1 (lower right p-value = 1.93e-6). Right hand graphs. Assay was repeated using si-PLK1. Data (N = 3/group) are mean + SD. **p-value <0.05, ***p-value <0.001 calculated by ANOVA. B Left: Matrices demonstrating MDA-MB-231 and T47D cell lines treated with different concentrations of miR-183-5p and NMS-P937, then analyzed to determine cell mortality (% inhibition). Right: Bliss score shows a synergistic effect present on cell mortality between miR-183-5p overexpression and NMS-P937 treatment.
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Fig. 2 Effects of miR-183-5p on cell viability and synergistic response to combined miR-183-5p overexpression and NMS-P937 treatment. A WST8 assay demonstrating the effects of NMS-P937 treatment: 0, 10, 25, 50, 75, 100, and 150 nM after transfection with negative control (NC) or miR-183-5p or <t>si-PLK1.</t> Left hand graphs. TNBC cell lines MDA-MB-231 (top left, p-value = 3.26e-14) and BT549 (top right, p-value = 0.00112). Luminal A cell lines T47D (lower left, p-value < 2e-16) and ZR-75-1 (lower right p-value = 1.93e-6). Right hand graphs. Assay was repeated using si-PLK1. Data (N = 3/group) are mean + SD. **p-value <0.05, ***p-value <0.001 calculated by ANOVA. B Left: Matrices demonstrating MDA-MB-231 and T47D cell lines treated with different concentrations of miR-183-5p and NMS-P937, then analyzed to determine cell mortality (% inhibition). Right: Bliss score shows a synergistic effect present on cell mortality between miR-183-5p overexpression and NMS-P937 treatment.
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Fig. 2 Effects of miR-183-5p on cell viability and synergistic response to combined miR-183-5p overexpression and NMS-P937 treatment. A WST8 assay demonstrating the effects of NMS-P937 treatment: 0, 10, 25, 50, 75, 100, and 150 nM after transfection with negative control (NC) or miR-183-5p or <t>si-PLK1.</t> Left hand graphs. TNBC cell lines MDA-MB-231 (top left, p-value = 3.26e-14) and BT549 (top right, p-value = 0.00112). Luminal A cell lines T47D (lower left, p-value < 2e-16) and ZR-75-1 (lower right p-value = 1.93e-6). Right hand graphs. Assay was repeated using si-PLK1. Data (N = 3/group) are mean + SD. **p-value <0.05, ***p-value <0.001 calculated by ANOVA. B Left: Matrices demonstrating MDA-MB-231 and T47D cell lines treated with different concentrations of miR-183-5p and NMS-P937, then analyzed to determine cell mortality (% inhibition). Right: Bliss score shows a synergistic effect present on cell mortality between miR-183-5p overexpression and NMS-P937 treatment.
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Image Search Results


Fig. 1 PLK1 directly binds to RhoGDI1 in vitro and in vivo. a 293 T cells were co-transfected with HA-tagged PLK1 and Flag-tagged RhoGDI1. Cell lysates were immunoprecipitated with HA (left) or Flag antibody (right). Immunoprecipitates and total lysates were immunoblotted with HA and Flag antibodies. b Cell lysates from HeLa were immunoprecipitated with IgG (as control) or PLK1 antibodies, and immunoblotted with PLK1 or RhoGDI1 antibodies. c Proximity ligation assay (PLA) was performed with PLK1 and RhoGDI1 antibodies in HeLa cells. Representative fluorescence images show blue (DAPI) staining nuclei and red dots (PLA signals). Scale bars: 50 μm. d His-tagged PLK1 and GST-tagged RhoGDI1 were expressed in E.coli. GST pull-down assay was performed with His-PLK1 expression lysates and purified GST-RhoGDI1. The GST pull-down products were immunoblotted with PLK1 and GST antibodies

Journal: Cancer cell international

Article Title: PLK1 phosphorylates RhoGDI1 and promotes cancer cell migration and invasion.

doi: 10.1186/s12935-024-03254-z

Figure Lengend Snippet: Fig. 1 PLK1 directly binds to RhoGDI1 in vitro and in vivo. a 293 T cells were co-transfected with HA-tagged PLK1 and Flag-tagged RhoGDI1. Cell lysates were immunoprecipitated with HA (left) or Flag antibody (right). Immunoprecipitates and total lysates were immunoblotted with HA and Flag antibodies. b Cell lysates from HeLa were immunoprecipitated with IgG (as control) or PLK1 antibodies, and immunoblotted with PLK1 or RhoGDI1 antibodies. c Proximity ligation assay (PLA) was performed with PLK1 and RhoGDI1 antibodies in HeLa cells. Representative fluorescence images show blue (DAPI) staining nuclei and red dots (PLA signals). Scale bars: 50 μm. d His-tagged PLK1 and GST-tagged RhoGDI1 were expressed in E.coli. GST pull-down assay was performed with His-PLK1 expression lysates and purified GST-RhoGDI1. The GST pull-down products were immunoblotted with PLK1 and GST antibodies

Article Snippet: Human RhoGDI1 and PLK1 cDNA were purchased from Origene (GenBank accession: NM_004309) and ABM (GenBank accession: BC014846).

Techniques: In Vitro, In Vivo, Transfection, Immunoprecipitation, Control, Proximity Ligation Assay, Fluorescence, Staining, Pull Down Assay, Expressing, Purification

Fig. 2 Mapping the region of RhoGDI1 for the interaction with PLK1. a Schematic representation of wild-type RhoGDI1 and truncation mutants of RhoGDI1 (1-67, 1-134, 68-204, 68-89, 90-111, 112-134 amino acids). b, c GST pull-down assay was performed with His-PLK1 expression lysates and purified GST-tagged wt RhoGDI1 or truncation mutants. The GST pull-down products were immunoblotted with PLK1 and GST antibodies. d 293 T cells were co-transfected with HA-tagged PLK1 and GFP-tagged RhoGDI1 wt or mutant (aa 90-111). Cell lysates were immunoprecipitated with a HA antibody. Immunoprecipitates and total lysates were immunoblotted with HA and GFP antibodies. e The proximity ligation assay was performed with PLK1 and RhoGDI1 antibodies in HeLa cells transfected with GFP-RhoGDI1 mutant (aa 90-111). Representative images (left) display blue (DAPI) staining nuclei and red dots (PLA signals). Scale bars: 50 μm. Quantitative data plots of PLA (right) show PLA dots per GFP-RhoGDI1 aa 90-111 positive or negative cells. **P < 0.01

Journal: Cancer cell international

Article Title: PLK1 phosphorylates RhoGDI1 and promotes cancer cell migration and invasion.

doi: 10.1186/s12935-024-03254-z

Figure Lengend Snippet: Fig. 2 Mapping the region of RhoGDI1 for the interaction with PLK1. a Schematic representation of wild-type RhoGDI1 and truncation mutants of RhoGDI1 (1-67, 1-134, 68-204, 68-89, 90-111, 112-134 amino acids). b, c GST pull-down assay was performed with His-PLK1 expression lysates and purified GST-tagged wt RhoGDI1 or truncation mutants. The GST pull-down products were immunoblotted with PLK1 and GST antibodies. d 293 T cells were co-transfected with HA-tagged PLK1 and GFP-tagged RhoGDI1 wt or mutant (aa 90-111). Cell lysates were immunoprecipitated with a HA antibody. Immunoprecipitates and total lysates were immunoblotted with HA and GFP antibodies. e The proximity ligation assay was performed with PLK1 and RhoGDI1 antibodies in HeLa cells transfected with GFP-RhoGDI1 mutant (aa 90-111). Representative images (left) display blue (DAPI) staining nuclei and red dots (PLA signals). Scale bars: 50 μm. Quantitative data plots of PLA (right) show PLA dots per GFP-RhoGDI1 aa 90-111 positive or negative cells. **P < 0.01

Article Snippet: Human RhoGDI1 and PLK1 cDNA were purchased from Origene (GenBank accession: NM_004309) and ABM (GenBank accession: BC014846).

Techniques: Pull Down Assay, Expressing, Purification, Transfection, Mutagenesis, Immunoprecipitation, Proximity Ligation Assay, Staining

Fig. 3 PLK1 phosphorylates RhoGDI1 at Thr7/91 residue in vitro and in vivo. a Purified GST-RhoGDI1 was subjected to in vitro kinase assay with( +) or without(-) active His-PLK1. The assay products were immunoblotted with the indicated antibodies. b Flag-RhoGDI1 was transfected with or without HA-PLK1 into HeLa cells. Cell lysates were immunoprecipitated with Flag antibody. Immunoprecipitates and total lysates were immunoblotted with the indicated antibodies. c HeLa cells were co-transfected Flag-RhoGDI1 with the control siRNA or two PLK1 siRNAs. Cell lysates were analyzed by Immunoprecipitation and immunoblotting using the indicated antibodies. d Purified His-RhoGDI1 wt and threonine-to-alanine-substituted mutants (T7A, T91A and T7/91A) were subjected to in vitro kinase assay with (+) or without (−) active His-PLK1. The assay products were immunoblotted with the indicated antibodies. e HeLa cells were transfected with Flag-RhoGDI1 wt or T7/91A and then treated with 200 nM of BI6727 (PLK1 inhibitor) for 4 h. Cell lysates were immunoprecipitated with Flag antibody. Immunoprecipitates and total lysates were immunoblotted with the indicated antibodies

Journal: Cancer cell international

Article Title: PLK1 phosphorylates RhoGDI1 and promotes cancer cell migration and invasion.

doi: 10.1186/s12935-024-03254-z

Figure Lengend Snippet: Fig. 3 PLK1 phosphorylates RhoGDI1 at Thr7/91 residue in vitro and in vivo. a Purified GST-RhoGDI1 was subjected to in vitro kinase assay with( +) or without(-) active His-PLK1. The assay products were immunoblotted with the indicated antibodies. b Flag-RhoGDI1 was transfected with or without HA-PLK1 into HeLa cells. Cell lysates were immunoprecipitated with Flag antibody. Immunoprecipitates and total lysates were immunoblotted with the indicated antibodies. c HeLa cells were co-transfected Flag-RhoGDI1 with the control siRNA or two PLK1 siRNAs. Cell lysates were analyzed by Immunoprecipitation and immunoblotting using the indicated antibodies. d Purified His-RhoGDI1 wt and threonine-to-alanine-substituted mutants (T7A, T91A and T7/91A) were subjected to in vitro kinase assay with (+) or without (−) active His-PLK1. The assay products were immunoblotted with the indicated antibodies. e HeLa cells were transfected with Flag-RhoGDI1 wt or T7/91A and then treated with 200 nM of BI6727 (PLK1 inhibitor) for 4 h. Cell lysates were immunoprecipitated with Flag antibody. Immunoprecipitates and total lysates were immunoblotted with the indicated antibodies

Article Snippet: Human RhoGDI1 and PLK1 cDNA were purchased from Origene (GenBank accession: NM_004309) and ABM (GenBank accession: BC014846).

Techniques: Residue, In Vitro, In Vivo, Purification, Kinase Assay, Transfection, Immunoprecipitation, Control, Western Blot

Fig. 4 PLK1 promotes RhoA activation by association with RhoGDI1. a HeLa cells were transfected with mock or HA-PLK1. A pull-down assay was performed using Rhotekin-agarose beads to detect active RhoA and PAK1-agarose beads to detect active Rac1/Cdc42 as described in Materials and Methods b HeLa cells were transfected with control siRNA or two PLK1 siRNAs. Cell lysates were subjected to pull-down assay. c Cells were treated with 200 nM of BI 6727 for 4 h. Cell lysates were subjected to pull-down assay. d HeLa cells were co-transfected with HA-PLK1 along with GFP or GFP-RhoGDI1 aa 90-111. Cell lysates were subjected to pull-down assay (left panel). Relative intensity graphs show mean ± S.D. (n = 3) for GTP-RhoA/total RhoA or GTP-Rac1/total Rac1 (right panel). **P < 0.01

Journal: Cancer cell international

Article Title: PLK1 phosphorylates RhoGDI1 and promotes cancer cell migration and invasion.

doi: 10.1186/s12935-024-03254-z

Figure Lengend Snippet: Fig. 4 PLK1 promotes RhoA activation by association with RhoGDI1. a HeLa cells were transfected with mock or HA-PLK1. A pull-down assay was performed using Rhotekin-agarose beads to detect active RhoA and PAK1-agarose beads to detect active Rac1/Cdc42 as described in Materials and Methods b HeLa cells were transfected with control siRNA or two PLK1 siRNAs. Cell lysates were subjected to pull-down assay. c Cells were treated with 200 nM of BI 6727 for 4 h. Cell lysates were subjected to pull-down assay. d HeLa cells were co-transfected with HA-PLK1 along with GFP or GFP-RhoGDI1 aa 90-111. Cell lysates were subjected to pull-down assay (left panel). Relative intensity graphs show mean ± S.D. (n = 3) for GTP-RhoA/total RhoA or GTP-Rac1/total Rac1 (right panel). **P < 0.01

Article Snippet: Human RhoGDI1 and PLK1 cDNA were purchased from Origene (GenBank accession: NM_004309) and ABM (GenBank accession: BC014846).

Techniques: Activation Assay, Transfection, Pull Down Assay, Control

Fig. 7 The proposed model to illustrate how PLK1 promotes cell migration and invasion

Journal: Cancer cell international

Article Title: PLK1 phosphorylates RhoGDI1 and promotes cancer cell migration and invasion.

doi: 10.1186/s12935-024-03254-z

Figure Lengend Snippet: Fig. 7 The proposed model to illustrate how PLK1 promotes cell migration and invasion

Article Snippet: Human RhoGDI1 and PLK1 cDNA were purchased from Origene (GenBank accession: NM_004309) and ABM (GenBank accession: BC014846).

Techniques: Migration

Figure 1. Plk1 overexpression drives inflammatory monocyte recruitment as a consequence of the SASP (A) Schematic showing the mouse models used in this study, where Her2 mammary tumors show low levels of CIN and Her2-Plk1 overexpression results in high CIN tumors. (B) Average SCNAs in 10 Her2 and 10 Her2-Plk1 tumors; unpaired t test, p = 0.0004. (C) SCNAs in 10 Her2 and 10 Her2-Plk1 mammary tumors. Shown are whole-chromosome gain (WCG) and whole-chromosome loss (WCL), focal amplification (AMP), deletion (DEL) and gross chromosomal rearrangement (GCR). (D) Total transcriptome of Her2 and Her2-Plk1 tumor tissues was analyzed by bulk RNA-seq. Heatmap showing differentially expressed cell cycle and SASP- related genes (fold change [FC] > 1.5 or < 1.5, p < 0.05, n = 3 tumors per genotype).

Journal: Cell reports

Article Title: Chronic chromosome instability induced by Plk1 results in immune suppression in breast cancer.

doi: 10.1016/j.celrep.2023.113266

Figure Lengend Snippet: Figure 1. Plk1 overexpression drives inflammatory monocyte recruitment as a consequence of the SASP (A) Schematic showing the mouse models used in this study, where Her2 mammary tumors show low levels of CIN and Her2-Plk1 overexpression results in high CIN tumors. (B) Average SCNAs in 10 Her2 and 10 Her2-Plk1 tumors; unpaired t test, p = 0.0004. (C) SCNAs in 10 Her2 and 10 Her2-Plk1 mammary tumors. Shown are whole-chromosome gain (WCG) and whole-chromosome loss (WCL), focal amplification (AMP), deletion (DEL) and gross chromosomal rearrangement (GCR). (D) Total transcriptome of Her2 and Her2-Plk1 tumor tissues was analyzed by bulk RNA-seq. Heatmap showing differentially expressed cell cycle and SASP- related genes (fold change [FC] > 1.5 or < 1.5, p < 0.05, n = 3 tumors per genotype).

Article Snippet: REAGENT or RESOURCE SOURCE IDENTIFIER Gene expression data Breast cancer METABRIC cohort, Pereira et al.50 https://cbioportal-datahub.s3. amazonaws.com/brca_metabric.tar.gz Experimental models: Cell lines MCF-7 Obtained from Guillermo de Cárcer Laboratory N/A Cal51 Obtained from Uri-Ben David Laboratory N/A Experimental models: Organisms/strains Mouse: TetO-Her2/Plk1/MMTV-rtTA, FVB Carcer et al.7 https://doi.org/10.1038/s41467-018-05429-5 Oligonucleotides Mycoplasma antisense primer MGSO (50-TGCACCATCTGTCACTCTGTTA ACCTC-30), (10 mM) Integrated DNA Technologies https://doi.org/10.1038/nprot.2010.43 Mycoplasma sense primer GPO-3 (50-GGGAGCAAACAGGATTAGATA CCCT-30), (10 mM) Integrated DNA Technologies https://doi.org/10.1038/nprot.2010.43 Recombinant DNA pLenti CMVtight Hygro DEST Addgene #26433 Human PLK1 cDNA Carcer et al.7 https://doi.org/10.1038/s41467-018-05429-5 Software and algorithms GraphPad Prism 8 and 9 GraphPad Software https://www.graphpad.com/ scientific-software/prism/ FlowJo ImageJ software FlowJo https://imagej.net/plugins/flowj StrataQuest software TissueGnostics https://tissuegnostics.com/products/ contextual-image-analysis/strataquest R, Version 4.3.0 R Project for Statistical Computing https://www.r-project.org/ Seurat Hao et al.58; https://satijalab.org/seurat/ https://cloud.r-project.org/web/ packages/Seurat/index.html SingleR Aran et al.29 https://bioconductor.org/packages/ release/bioc/html/SingleR.html clusterProfiler Yu et al.59 https://bioconductor.org/packages/ release/bioc/html/clusterProfiler.html Python Python Software Foundation https://www.python.org/ matplotlib Hunter et al.60 https://matplotlib.org/

Techniques: Over Expression, RNA Sequencing

A) Schematic representation showing the mouse models used in this study, where Her2 mammary tumors show low levels of CIN and Her2-Plk1 overexpression results in high CIN tumors. B ) Average SCNAs in Her2 and Her2/Plk1 tumors; Unpaired t test, p = 0.012. C ) SCNAs in 10 Her2 and 10 Her2/Plk1 mammary tumors. Shown are whole chromosome gain (WCG) and loss (WCL), partial chromosome gain (PCG) and loss (PCL), focal amplification (AMP), deletion (DEL) and gross chromosomal rearrangement (GCR). D) Total transcriptome of Her2 and Her2-Plk1 tumor tissues was analyzed by bulk RNA-sequencing. Heatmap showing differentially expressed cell cycle and SASP-related genes (Fold change (FC) > 1.5 or < −1.5, p <0.05, n=3 tumors per genotype). E) GSEA using gene sets from KEGG pathways as analyzed by cluster profiler. Pathways overrepresented in Her2-Plk1 tumors are shown in yellow, whereas pathways overrepresented in Her2 tumors are displayed in blue. F) Fluorometric measurement of ß-galactosidase activity in Her2 and Her2-Plk1 tumor lysates (Mann Whitney test p<0.005**, n=10 (Her2) and n=16 (Her2-Plk1)). G) Cytokine array of tumor lysates of Her2 and Her2-Plk1 showing increased CXCL1, IL16 and IL1RN in the high CIN group (p<0.05* p<0.0005***, 2-way ANOVA, Sidak’s multiple comparison test, n=3). H) Characterization of TAM’s and monocytes. Live CD45 + CD11b + cells were divided into two groups based on Ly6C and MHCII. Flow cytometric analysis of inflammatory monocytes (Ly6c high MHCII low ) and M1 TAMs (Ly6c low MHCII high) in endpoint tumors (p<0.05*, n=5 (Her2) and n=8 (Her2-Plk1)).

Journal: bioRxiv

Article Title: Chronic chromosome instability induced by Plk1 results in immune suppression in breast cancer

doi: 10.1101/2022.06.16.496429

Figure Lengend Snippet: A) Schematic representation showing the mouse models used in this study, where Her2 mammary tumors show low levels of CIN and Her2-Plk1 overexpression results in high CIN tumors. B ) Average SCNAs in Her2 and Her2/Plk1 tumors; Unpaired t test, p = 0.012. C ) SCNAs in 10 Her2 and 10 Her2/Plk1 mammary tumors. Shown are whole chromosome gain (WCG) and loss (WCL), partial chromosome gain (PCG) and loss (PCL), focal amplification (AMP), deletion (DEL) and gross chromosomal rearrangement (GCR). D) Total transcriptome of Her2 and Her2-Plk1 tumor tissues was analyzed by bulk RNA-sequencing. Heatmap showing differentially expressed cell cycle and SASP-related genes (Fold change (FC) > 1.5 or < −1.5, p <0.05, n=3 tumors per genotype). E) GSEA using gene sets from KEGG pathways as analyzed by cluster profiler. Pathways overrepresented in Her2-Plk1 tumors are shown in yellow, whereas pathways overrepresented in Her2 tumors are displayed in blue. F) Fluorometric measurement of ß-galactosidase activity in Her2 and Her2-Plk1 tumor lysates (Mann Whitney test p<0.005**, n=10 (Her2) and n=16 (Her2-Plk1)). G) Cytokine array of tumor lysates of Her2 and Her2-Plk1 showing increased CXCL1, IL16 and IL1RN in the high CIN group (p<0.05* p<0.0005***, 2-way ANOVA, Sidak’s multiple comparison test, n=3). H) Characterization of TAM’s and monocytes. Live CD45 + CD11b + cells were divided into two groups based on Ly6C and MHCII. Flow cytometric analysis of inflammatory monocytes (Ly6c high MHCII low ) and M1 TAMs (Ly6c low MHCII high) in endpoint tumors (p<0.05*, n=5 (Her2) and n=8 (Her2-Plk1)).

Article Snippet: These cells were then infected with an inducible Tet-ON lentivirus carrying the human PLK1 cDNA (pLenti CMVtight Hygro DEST from Addgene #26433) and selected with hygromycin (350 μg/ml).

Techniques: Over Expression, Amplification, RNA Sequencing, Activity Assay, MANN-WHITNEY, Comparison

A) Expression of P38a and NF-kB-p65 in breast tumors from Her2 and Her2-Plk1 mice. Tumor cell lysates were used for immunodetection by using anti-PLK1, anti-NFkB-p65, anti-RELB, anti-P38, anti-pP38 and anti-vinculin as a loading control. Bar graphs represent the relative intensity of the signal from immunodetection (*, p<0.05, **, p<0.005, Mann-Whitney test, n=11 (Her2), n=14 (Her2-Plk1); numbers represent different tumors). B) Immunohistochemistry of PLK1, PD-L1 and CD206 in Her2 and Her2-Plk1 tumor sections and their corresponding bar graphs representing total sum area (μm 2 ). Positive regions per sample was calculated by dividing DAB positive area in each ROI/total area of the ROI (region of interest) and total sum area (μm 2 ) and adding positive regions in all the individual samples. Scale bar: 100μm. (*, p<0.05, **** p< 0.0001, Mann-Whitney test, n=5 (Her2), n=8 (Her2-Plk1)). C) Quantification of tumor-infiltrating lymphocytes in Her2 and Her2-Plk1 tumors and spleens. Representative two-parameter dot plots of CD45 + gated Tregs (CD25 + CD4 + Foxp3 + ), dendritic cells (CD11c + MHCII high ), NK cells (CD11c − Nkp46/Nk1.1 + )) and T cells (CD3 + CD4 + , CD3 + CD8 + ) in both spleen (n=5 (Her2), n=7 (Her2-Plk1)) and tumors (*, p<0.05, ** p<0.005, ***, p< 0.0005, Mann-Whitney test n=6 (Her2), n=10 (Her2-Plk1)) and bar graphs represented as % of CD45 positive cells. The numbers depicted in the boxes refer to the percentage of each cell type in different samples (Her2 and Her2-Plk1).

Journal: bioRxiv

Article Title: Chronic chromosome instability induced by Plk1 results in immune suppression in breast cancer

doi: 10.1101/2022.06.16.496429

Figure Lengend Snippet: A) Expression of P38a and NF-kB-p65 in breast tumors from Her2 and Her2-Plk1 mice. Tumor cell lysates were used for immunodetection by using anti-PLK1, anti-NFkB-p65, anti-RELB, anti-P38, anti-pP38 and anti-vinculin as a loading control. Bar graphs represent the relative intensity of the signal from immunodetection (*, p<0.05, **, p<0.005, Mann-Whitney test, n=11 (Her2), n=14 (Her2-Plk1); numbers represent different tumors). B) Immunohistochemistry of PLK1, PD-L1 and CD206 in Her2 and Her2-Plk1 tumor sections and their corresponding bar graphs representing total sum area (μm 2 ). Positive regions per sample was calculated by dividing DAB positive area in each ROI/total area of the ROI (region of interest) and total sum area (μm 2 ) and adding positive regions in all the individual samples. Scale bar: 100μm. (*, p<0.05, **** p< 0.0001, Mann-Whitney test, n=5 (Her2), n=8 (Her2-Plk1)). C) Quantification of tumor-infiltrating lymphocytes in Her2 and Her2-Plk1 tumors and spleens. Representative two-parameter dot plots of CD45 + gated Tregs (CD25 + CD4 + Foxp3 + ), dendritic cells (CD11c + MHCII high ), NK cells (CD11c − Nkp46/Nk1.1 + )) and T cells (CD3 + CD4 + , CD3 + CD8 + ) in both spleen (n=5 (Her2), n=7 (Her2-Plk1)) and tumors (*, p<0.05, ** p<0.005, ***, p< 0.0005, Mann-Whitney test n=6 (Her2), n=10 (Her2-Plk1)) and bar graphs represented as % of CD45 positive cells. The numbers depicted in the boxes refer to the percentage of each cell type in different samples (Her2 and Her2-Plk1).

Article Snippet: These cells were then infected with an inducible Tet-ON lentivirus carrying the human PLK1 cDNA (pLenti CMVtight Hygro DEST from Addgene #26433) and selected with hygromycin (350 μg/ml).

Techniques: Expressing, Immunodetection, Control, MANN-WHITNEY, Immunohistochemistry

A) Schematic depiction of isolation of hyperplastic mammary glands and FACS sorting of individual cells to obtain CD45 hematopoietic cells at early stage Her2 (16 days on doxycycline) and Her2-Plk1 (22 days on doxycycline) samples. Samples were extracted from three different mice per genotype from two mammary glands each. B) Clustered immune cell populations displayed by UMAP in all samples. The cell types in the clusters were annotated by using SingleR and gene expression information from the ImmGen reference database and displayed in a color-coded fashion. C) Volcano graph showing differentially expressed genes in the CD11b + CD11c − macrophage subtype with log2-fold change in gene expression versus -log10 of adjusted p-values. Genes that were found to be downregulated in Her2-Plk1 with respect to Her2 are shown in blue, while genes that were upregulated are shown in yellow (by a fold change of at least ±0.6 and an adjusted p-value of ≤0.05). D) Violin graphs showing the normalized expression levels of CD11b + CD24 − macrophages for genes related to antigen presentation, EMT and anti-inflammatory wound-healing phenotypes. Her2 samples are in blue and Her2-Plk1 in yellow. p-values adjusted for multiple testing are shown above each graph. Each dot represents the gene expression level of an individual cell.

Journal: bioRxiv

Article Title: Chronic chromosome instability induced by Plk1 results in immune suppression in breast cancer

doi: 10.1101/2022.06.16.496429

Figure Lengend Snippet: A) Schematic depiction of isolation of hyperplastic mammary glands and FACS sorting of individual cells to obtain CD45 hematopoietic cells at early stage Her2 (16 days on doxycycline) and Her2-Plk1 (22 days on doxycycline) samples. Samples were extracted from three different mice per genotype from two mammary glands each. B) Clustered immune cell populations displayed by UMAP in all samples. The cell types in the clusters were annotated by using SingleR and gene expression information from the ImmGen reference database and displayed in a color-coded fashion. C) Volcano graph showing differentially expressed genes in the CD11b + CD11c − macrophage subtype with log2-fold change in gene expression versus -log10 of adjusted p-values. Genes that were found to be downregulated in Her2-Plk1 with respect to Her2 are shown in blue, while genes that were upregulated are shown in yellow (by a fold change of at least ±0.6 and an adjusted p-value of ≤0.05). D) Violin graphs showing the normalized expression levels of CD11b + CD24 − macrophages for genes related to antigen presentation, EMT and anti-inflammatory wound-healing phenotypes. Her2 samples are in blue and Her2-Plk1 in yellow. p-values adjusted for multiple testing are shown above each graph. Each dot represents the gene expression level of an individual cell.

Article Snippet: These cells were then infected with an inducible Tet-ON lentivirus carrying the human PLK1 cDNA (pLenti CMVtight Hygro DEST from Addgene #26433) and selected with hygromycin (350 μg/ml).

Techniques: Isolation, Gene Expression, Expressing, Immunopeptidomics

A ) Survival analysis of Her2 (left) and Her2-Plk1 (right) tumors of mice treated with NK1.1 blocking antibody. Survival probability over time (upper graphs) and number and percentage of mice alive over time (lower table). The curves in light blue and light yellow depict untreated mice, whereas the curves in dark blue and dark yellow show mice treated with NK block, respectively. B) Normalized gene expression of CD27 versus Itgam ( CD11b ) in NK cells at the single cell level (individual dots) (Her2: blue, Her2-Plk1: yellow). The Spearman rank correlation coefficient across samples as well as the fold change and p-values adjusted for multiple testing for differential expression between Her2 and Her2-Plk1 samples are provided. C) Violin graphs showing the log-normalized gene expression values of NK cells in Her2 (blue) and Her2-Plk1 (yellow) tumors exemplarily shown for genes involved in cytotoxic response and surface receptors of NK cells. D) Heatmap showing normalized gene expression levels of differentially expressed effector genes, chemokines and their receptors, and activating receptor genes in NK cells. Each line represents a single cell. E) Gene set enrichment analysis for identification of pathways with enrichment of differentially expressed genes for two macrophage subsets and NK cells. Y-axis: hallmark signatures and X-axis: normalized enrichment scores with adjusted p-values, color-coded by the direction of the effect (yellow: upregulation in Her2-Plk1, blue: upregulation in Her2).

Journal: bioRxiv

Article Title: Chronic chromosome instability induced by Plk1 results in immune suppression in breast cancer

doi: 10.1101/2022.06.16.496429

Figure Lengend Snippet: A ) Survival analysis of Her2 (left) and Her2-Plk1 (right) tumors of mice treated with NK1.1 blocking antibody. Survival probability over time (upper graphs) and number and percentage of mice alive over time (lower table). The curves in light blue and light yellow depict untreated mice, whereas the curves in dark blue and dark yellow show mice treated with NK block, respectively. B) Normalized gene expression of CD27 versus Itgam ( CD11b ) in NK cells at the single cell level (individual dots) (Her2: blue, Her2-Plk1: yellow). The Spearman rank correlation coefficient across samples as well as the fold change and p-values adjusted for multiple testing for differential expression between Her2 and Her2-Plk1 samples are provided. C) Violin graphs showing the log-normalized gene expression values of NK cells in Her2 (blue) and Her2-Plk1 (yellow) tumors exemplarily shown for genes involved in cytotoxic response and surface receptors of NK cells. D) Heatmap showing normalized gene expression levels of differentially expressed effector genes, chemokines and their receptors, and activating receptor genes in NK cells. Each line represents a single cell. E) Gene set enrichment analysis for identification of pathways with enrichment of differentially expressed genes for two macrophage subsets and NK cells. Y-axis: hallmark signatures and X-axis: normalized enrichment scores with adjusted p-values, color-coded by the direction of the effect (yellow: upregulation in Her2-Plk1, blue: upregulation in Her2).

Article Snippet: These cells were then infected with an inducible Tet-ON lentivirus carrying the human PLK1 cDNA (pLenti CMVtight Hygro DEST from Addgene #26433) and selected with hygromycin (350 μg/ml).

Techniques: Blocking Assay, Gene Expression, Quantitative Proteomics

A) Volcano graph with reduced axes to focus on selected differentially expressed genes (labeled) in the B cell subset of Her2 and Her2-Plk1 tumors displayed as log2 fold change versus - log10 of the adjusted p-value. Genes that were found to be downregulated in Her2-Plk1 with respect to Her2 are shown in blue, while genes that were overexpressed are shown in yellow (by a fold change of at least ±0.4 and an adjusted p-value of ≤0.05). B) UMAP graph of T cells clustered into different T cell subtypes. Seven clusters with different cell types were identified after cell type annotation. C ) Relative distribution of the number of cells in each of the T cell subtypes with Her2 in blue and Her2-Plk1 in yellow. D) Normalized gene expression of Sell ( Cd62L ) versus Ccr7 in regulatory T cells at the single cell level (individual dots) (Her2: blue, Her2-Plk1: yellow). The Spearman rank correlation coefficient across samples as well as the fold change and p-values adjusted for multiple testing for differential expression between Her2 and Her2-Plk1 samples are provided. E) Volcano graph with reduced axes to focus on selected differentially expressed genes in the cluster of regulatory T cells displayed as log2 fold change versus -log10 of the adjusted p-value. Genes downregulated in Her2-Plk1 compared to Her2 are shown in blue, genes upregulated in Her2-Plk1 are displayed in yellow (by a fold change of at least ±0.4 and an adjusted p-value of ≤0.05).

Journal: bioRxiv

Article Title: Chronic chromosome instability induced by Plk1 results in immune suppression in breast cancer

doi: 10.1101/2022.06.16.496429

Figure Lengend Snippet: A) Volcano graph with reduced axes to focus on selected differentially expressed genes (labeled) in the B cell subset of Her2 and Her2-Plk1 tumors displayed as log2 fold change versus - log10 of the adjusted p-value. Genes that were found to be downregulated in Her2-Plk1 with respect to Her2 are shown in blue, while genes that were overexpressed are shown in yellow (by a fold change of at least ±0.4 and an adjusted p-value of ≤0.05). B) UMAP graph of T cells clustered into different T cell subtypes. Seven clusters with different cell types were identified after cell type annotation. C ) Relative distribution of the number of cells in each of the T cell subtypes with Her2 in blue and Her2-Plk1 in yellow. D) Normalized gene expression of Sell ( Cd62L ) versus Ccr7 in regulatory T cells at the single cell level (individual dots) (Her2: blue, Her2-Plk1: yellow). The Spearman rank correlation coefficient across samples as well as the fold change and p-values adjusted for multiple testing for differential expression between Her2 and Her2-Plk1 samples are provided. E) Volcano graph with reduced axes to focus on selected differentially expressed genes in the cluster of regulatory T cells displayed as log2 fold change versus -log10 of the adjusted p-value. Genes downregulated in Her2-Plk1 compared to Her2 are shown in blue, genes upregulated in Her2-Plk1 are displayed in yellow (by a fold change of at least ±0.4 and an adjusted p-value of ≤0.05).

Article Snippet: These cells were then infected with an inducible Tet-ON lentivirus carrying the human PLK1 cDNA (pLenti CMVtight Hygro DEST from Addgene #26433) and selected with hygromycin (350 μg/ml).

Techniques: Labeling, Gene Expression, Quantitative Proteomics

A) Schematic description of sorting PLK1 high versus PLK1 low tumors from the TCGA-BRCA cohort. A total of 186 (PLK1 high) and 165 (PLK1 low) tumors with a Z-score of +1 and –1, respectively, were identified. B) Unsupervised clustering of PLK1 high versus PLK1 low tumors using principal component analysis. Samples color-coded based on the groups (PLK1 low: blue, PLK1 high: yellow). C) Cellular deconvolution of PLK1 high and PLK1 low tumors using relative CIBERSORT to characterize the heterogeneity in immune cell composition of tumors with different levels of CIN. D) Heatmap showing gene expression data (Log 2 norm_count+1) and clustered into three different signatures associated with senescence, T-cell exhaustion and immune suppression from both PLK1 high (yellow) and PLK1 low (blue) tumor cohorts.

Journal: bioRxiv

Article Title: Chronic chromosome instability induced by Plk1 results in immune suppression in breast cancer

doi: 10.1101/2022.06.16.496429

Figure Lengend Snippet: A) Schematic description of sorting PLK1 high versus PLK1 low tumors from the TCGA-BRCA cohort. A total of 186 (PLK1 high) and 165 (PLK1 low) tumors with a Z-score of +1 and –1, respectively, were identified. B) Unsupervised clustering of PLK1 high versus PLK1 low tumors using principal component analysis. Samples color-coded based on the groups (PLK1 low: blue, PLK1 high: yellow). C) Cellular deconvolution of PLK1 high and PLK1 low tumors using relative CIBERSORT to characterize the heterogeneity in immune cell composition of tumors with different levels of CIN. D) Heatmap showing gene expression data (Log 2 norm_count+1) and clustered into three different signatures associated with senescence, T-cell exhaustion and immune suppression from both PLK1 high (yellow) and PLK1 low (blue) tumor cohorts.

Article Snippet: These cells were then infected with an inducible Tet-ON lentivirus carrying the human PLK1 cDNA (pLenti CMVtight Hygro DEST from Addgene #26433) and selected with hygromycin (350 μg/ml).

Techniques: Gene Expression

Journal: bioRxiv

Article Title: Chronic chromosome instability induced by Plk1 results in immune suppression in breast cancer

doi: 10.1101/2022.06.16.496429

Figure Lengend Snippet:

Article Snippet: These cells were then infected with an inducible Tet-ON lentivirus carrying the human PLK1 cDNA (pLenti CMVtight Hygro DEST from Addgene #26433) and selected with hygromycin (350 μg/ml).

Techniques:

Fig. 2 Effects of miR-183-5p on cell viability and synergistic response to combined miR-183-5p overexpression and NMS-P937 treatment. A WST8 assay demonstrating the effects of NMS-P937 treatment: 0, 10, 25, 50, 75, 100, and 150 nM after transfection with negative control (NC) or miR-183-5p or si-PLK1. Left hand graphs. TNBC cell lines MDA-MB-231 (top left, p-value = 3.26e-14) and BT549 (top right, p-value = 0.00112). Luminal A cell lines T47D (lower left, p-value < 2e-16) and ZR-75-1 (lower right p-value = 1.93e-6). Right hand graphs. Assay was repeated using si-PLK1. Data (N = 3/group) are mean + SD. **p-value <0.05, ***p-value <0.001 calculated by ANOVA. B Left: Matrices demonstrating MDA-MB-231 and T47D cell lines treated with different concentrations of miR-183-5p and NMS-P937, then analyzed to determine cell mortality (% inhibition). Right: Bliss score shows a synergistic effect present on cell mortality between miR-183-5p overexpression and NMS-P937 treatment.

Journal: Cell death and differentiation

Article Title: Synergistic apoptotic effect of miR-183-5p and Polo-Like kinase 1 inhibitor NMS-P937 in breast cancer cells.

doi: 10.1038/s41418-021-00864-2

Figure Lengend Snippet: Fig. 2 Effects of miR-183-5p on cell viability and synergistic response to combined miR-183-5p overexpression and NMS-P937 treatment. A WST8 assay demonstrating the effects of NMS-P937 treatment: 0, 10, 25, 50, 75, 100, and 150 nM after transfection with negative control (NC) or miR-183-5p or si-PLK1. Left hand graphs. TNBC cell lines MDA-MB-231 (top left, p-value = 3.26e-14) and BT549 (top right, p-value = 0.00112). Luminal A cell lines T47D (lower left, p-value < 2e-16) and ZR-75-1 (lower right p-value = 1.93e-6). Right hand graphs. Assay was repeated using si-PLK1. Data (N = 3/group) are mean + SD. **p-value <0.05, ***p-value <0.001 calculated by ANOVA. B Left: Matrices demonstrating MDA-MB-231 and T47D cell lines treated with different concentrations of miR-183-5p and NMS-P937, then analyzed to determine cell mortality (% inhibition). Right: Bliss score shows a synergistic effect present on cell mortality between miR-183-5p overexpression and NMS-P937 treatment.

Article Snippet: A plasmid encoding the full-length PLK1 cDNA was purchased (Origene, Rockville, MD USA; Cat.#: SC110978).

Techniques: Over Expression, Transfection, Negative Control, Inhibition

Fig. 3 Effects of miR-183-5p overexpression on PLK1 signaling cascade and apoptosis. A MDA-MB-231, BT549, T47D, and ZR-75-1 cells treated with NMS-P937 for 48 h, +/- miR-183-5p transfection for 72 h. Total protein lysates were analyzed by Western blot. Blots were stained for PLK1, DNMT1, p-STAT3 (Tyr 705), p-p53 (Ser15), Bcl-XL, cleaved caspases 7 and 3, cleaved PARP and vinculin. B–E Protein band densitometry normalized to vinculin. Data (N = 3/group) are presented as mean + SD.

Journal: Cell death and differentiation

Article Title: Synergistic apoptotic effect of miR-183-5p and Polo-Like kinase 1 inhibitor NMS-P937 in breast cancer cells.

doi: 10.1038/s41418-021-00864-2

Figure Lengend Snippet: Fig. 3 Effects of miR-183-5p overexpression on PLK1 signaling cascade and apoptosis. A MDA-MB-231, BT549, T47D, and ZR-75-1 cells treated with NMS-P937 for 48 h, +/- miR-183-5p transfection for 72 h. Total protein lysates were analyzed by Western blot. Blots were stained for PLK1, DNMT1, p-STAT3 (Tyr 705), p-p53 (Ser15), Bcl-XL, cleaved caspases 7 and 3, cleaved PARP and vinculin. B–E Protein band densitometry normalized to vinculin. Data (N = 3/group) are presented as mean + SD.

Article Snippet: A plasmid encoding the full-length PLK1 cDNA was purchased (Origene, Rockville, MD USA; Cat.#: SC110978).

Techniques: Over Expression, Transfection, Western Blot, Staining

Fig. 4 Effects of PLK1 silencing (si-PLK1) on PLK1 signaling cascade and apoptosis. A MDA-MB-231, BT549, T47D, and ZR-75-1 cells treated with NMS-P937 for 48 h, +/- si-PLK1 for 72 h. Total protein lysates were analyzed by Western blot. Blots were stained for PLK1, DNMT1, p-STAT3 (Tyr 705), p-p53 (Ser15), Bcl-XL, cleaved caspases 7 and 3, cleaved PARP and vinculin. B–E Protein band densitometry normalized to vinculin. Data (N = 3/group) are presented as mean + SD.

Journal: Cell death and differentiation

Article Title: Synergistic apoptotic effect of miR-183-5p and Polo-Like kinase 1 inhibitor NMS-P937 in breast cancer cells.

doi: 10.1038/s41418-021-00864-2

Figure Lengend Snippet: Fig. 4 Effects of PLK1 silencing (si-PLK1) on PLK1 signaling cascade and apoptosis. A MDA-MB-231, BT549, T47D, and ZR-75-1 cells treated with NMS-P937 for 48 h, +/- si-PLK1 for 72 h. Total protein lysates were analyzed by Western blot. Blots were stained for PLK1, DNMT1, p-STAT3 (Tyr 705), p-p53 (Ser15), Bcl-XL, cleaved caspases 7 and 3, cleaved PARP and vinculin. B–E Protein band densitometry normalized to vinculin. Data (N = 3/group) are presented as mean + SD.

Article Snippet: A plasmid encoding the full-length PLK1 cDNA was purchased (Origene, Rockville, MD USA; Cat.#: SC110978).

Techniques: Western Blot, Staining

Fig. 6 si-PLK1 + NMS-P937 Annexin V staining. A Representative flow cytometry images of breast cancer cell lines treated with NMS-P937 for 48 h, +/- si-PLK1 transfection for 72 h. Cells were stained with Annexin-FITC and PI. The cell populations of interest were those undergoing Late (Q2) or early (Q4) apoptosis. B, C Bar graphs representing the percentage of cells undergoing early (B) or late (C) apoptosis. Cells were either treated with negative control miRNA (NC), si-PLK1 only, NMS-P937 only (25 nM or 75 nM), or si-PLK1 + NMS-P937. Data (N = 4/group) are presented as mean + SD. *p-value <0.05, **p-value <0.001 compared to negative control by Student’s unpaired t test.

Journal: Cell death and differentiation

Article Title: Synergistic apoptotic effect of miR-183-5p and Polo-Like kinase 1 inhibitor NMS-P937 in breast cancer cells.

doi: 10.1038/s41418-021-00864-2

Figure Lengend Snippet: Fig. 6 si-PLK1 + NMS-P937 Annexin V staining. A Representative flow cytometry images of breast cancer cell lines treated with NMS-P937 for 48 h, +/- si-PLK1 transfection for 72 h. Cells were stained with Annexin-FITC and PI. The cell populations of interest were those undergoing Late (Q2) or early (Q4) apoptosis. B, C Bar graphs representing the percentage of cells undergoing early (B) or late (C) apoptosis. Cells were either treated with negative control miRNA (NC), si-PLK1 only, NMS-P937 only (25 nM or 75 nM), or si-PLK1 + NMS-P937. Data (N = 4/group) are presented as mean + SD. *p-value <0.05, **p-value <0.001 compared to negative control by Student’s unpaired t test.

Article Snippet: A plasmid encoding the full-length PLK1 cDNA was purchased (Origene, Rockville, MD USA; Cat.#: SC110978).

Techniques: Staining, Cytometry, Transfection, Negative Control