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Millipore nelf-e antibody
Nelf E Antibody, supplied by Millipore, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/nelf+e/anti+nelf+e/pm37117180-412-0-2
Average 90 stars, based on 1 article reviews

nelf-e antibody - by Bioz Stars, 2026-11

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Article Title: Dependency of NELF-E-SLUG-KAT2B epigenetic axis in breast cancer carcinogenesis.
Article Snippet: NELF-E antibody (Sigma, HPA007187) was added to the slides at the optimized dilution of 1:250 overnight at 4 °C.

Article Title: NELF ‐E is recruited to DNA double‐strand break sites to promote transcriptional repression and repair
Article Snippet: Clones that showed expression of EGFP‐NELF‐E only after the addition of Dox (Sigma, D9891) were selected for further characterization.

Article Title: Dependency of NELF-E-SLUG-KAT2B epigenetic axis in breast cancer carcinogenesis
Article Snippet: The slides were then blocked in 10% goat serum for 30 min. NELF-E antibody (Sigma, HPA007187) was added to the slides at the optimized dilution of 1:250 overnight at 4 °C.

Article Title: Integrator complex regulates NELF-mediated RNA polymerase II pause/release and processivity at coding genes
Article Snippet: An amount of 10 μg of anti-NELF-E (Millipore, ABE48): Replicate A: 21 ng.

Article Title: Architecture and RNA binding of the human negative elongation factor
Article Snippet: 293FT cells were maintained in DMEM (Gibco) with 10% FBS and Glutamax.

Article Title: Architecture and RNA binding of the human negative elongation factor
Article Snippet: Cells were routinely checked for mycoplasma contamination using the PlasmoTest Mycoplasma Detection Kit (InvivoGen, 12K06-MM).

Article Title: Striatal NELF-mediated RNA polymerase II stalling controls L-dopa induced dyskinesia.
Article Snippet: Contents lists available at ScienceDirect Neurobiology of Disease j ourna l homepage: www.e lsev ie r .com/ locate /ynbd i Striatal NELF-mediated RNA polymerase II stalling controls L-dopa induced dyskinesia Matthieu F. Bastide, Simone Bido, Nathalie Duteil, Erwan Bézard ⁎ a Univ. de Bordeaux, Institut des Maladies Neurodégénératives,UMR 5293,33000 Bordeaux,France b CNRS,Institut des Maladies Neurodégénératives,UMR 5293,33000 Bordeaux,France ⁎ Corresponding author at: Institut des Maladies Neu Bordeaux,UMR 5293, Bât 3B 1er étage, 146 rue Léo Sai France.. E-mail address: erwan.bezard@u-bordeaux.fr (E. Béza Available online on ScienceDirect (www.sciencedir http://dx.doi.org/10.1016/j.nbd.2015.10.013 0969-9961/© 2015 Elsevier Inc. All rights reserved. a b s t r a c t a r t i c l e i n f o Article history: Received 17 September 2015 Revised 7 October 2015 Accepted 14 October 2015 Available online 19 October 2015 Keywords: Immediate-early genes Transcription Stalling Parkinson's disease Rat model Long-term L-3,4-dihydroxyphenylalanine (L-Dopa) treatment in Parkinson's disease leads to involuntary movements called dyskinesia, notably through an overexpression of immediate-early genes (IEG).. Their rapid transcription involves the stalling of RNA polymerase II on IEG promoters, a mechanism that critically depends on the presence of the negative elongation factor (NELF) protein complex.

Chromatin Immunoprecipitation:

Article Title: Pausing of RNA polymerase II Regulates Mammalian Developmental Potential Through Control of Signaling Networks
Article Snippet: .. ChIP was performed as previously described ( Gilchrist et al., 2010 ) using antibodies targeting the Rpb3 subunit of Pol II and NELF-E (#HPA007187; Sigma). ..

Image Search Results

a Western blot analysis of NELF-A and NELF-E in non-tumorigenic breast epithelial cell line MCF10A, as well as in different breast cancer cell lines T-47D (ER + , PR + ), SK-BR-3 (HER2 + ), MCF7 (ER + ), BT-474 (HER2 + ), BT-549 (triple-negative), MDA-MB-231 (triple-negative), and SUM159 (triple-negative). β-actin was used as the loading control. b , c Left: MCF7 cells ( n = 3) and BT-549 cells ( n = 4) were transfected with non-targeting siRNA (‘scrambled, siSCR’) and siRNAs targeting NELF-A and NELF-E, respectively, followed by western blot analysis. GAPDH was used as the loading control. Right: Representative images and quantification of soft agar assays. d Left: Western blot analysis of NELF-A, NELF-E, NELF-B, and NELF-C/D in WT and NELF-A/NELF-E KO SUM159 cells. β-actin was used as the loading control. Right: Representative images and quantification of soft agar assays ( n = 4). e 5 × 10 6 WT, NELF-A KO, and NELF-E KO SUM159 cells were injected into the mammary fat pads of NOD/SCID mice, respectively. Tumor volume was measured every 3 days after the tumor was palpable; mean ± SEM, n = 4/group. f Left: Tumors harvested from WT, NELF-A KO, and NELF-E KO groups; Right: Quantification of tumor weights; mean ± SEM, n = 4/group. Blots and images are representative of at least three independent experiments. Data in ( b – d ) are presented as mean ± SD. p -values are determined by a two-tailed Student’s t -test. Source data are provided as a Source Data file.

Journal: Nature Communications

Article Title: Dependency of NELF-E-SLUG-KAT2B epigenetic axis in breast cancer carcinogenesis

doi: 10.1038/s41467-023-38132-1

Figure Lengend Snippet: a Western blot analysis of NELF-A and NELF-E in non-tumorigenic breast epithelial cell line MCF10A, as well as in different breast cancer cell lines T-47D (ER + , PR + ), SK-BR-3 (HER2 + ), MCF7 (ER + ), BT-474 (HER2 + ), BT-549 (triple-negative), MDA-MB-231 (triple-negative), and SUM159 (triple-negative). β-actin was used as the loading control. b , c Left: MCF7 cells ( n = 3) and BT-549 cells ( n = 4) were transfected with non-targeting siRNA (‘scrambled, siSCR’) and siRNAs targeting NELF-A and NELF-E, respectively, followed by western blot analysis. GAPDH was used as the loading control. Right: Representative images and quantification of soft agar assays. d Left: Western blot analysis of NELF-A, NELF-E, NELF-B, and NELF-C/D in WT and NELF-A/NELF-E KO SUM159 cells. β-actin was used as the loading control. Right: Representative images and quantification of soft agar assays ( n = 4). e 5 × 10 6 WT, NELF-A KO, and NELF-E KO SUM159 cells were injected into the mammary fat pads of NOD/SCID mice, respectively. Tumor volume was measured every 3 days after the tumor was palpable; mean ± SEM, n = 4/group. f Left: Tumors harvested from WT, NELF-A KO, and NELF-E KO groups; Right: Quantification of tumor weights; mean ± SEM, n = 4/group. Blots and images are representative of at least three independent experiments. Data in ( b – d ) are presented as mean ± SD. p -values are determined by a two-tailed Student’s t -test. Source data are provided as a Source Data file.

Article Snippet: Then, 200 μl of Dynabeads® Protein A (Thermo Fisher Scientific, 1002D) and 10 μg of NELF-E antibody (Abcam, ab170104) or Rabbit IgG antibody (Invitrogen, TH275005) were used for each sample.

Techniques: Western Blot, Transfection, Injection, Two Tailed Test

a MA plot showing gene expression changes between NELF-E KO and WT SUM159 cells. Red and blue points indicate significantly upregulated ( n = 388) and downregulated ( n = 540) genes, respectively. b GSEA enrichment plot for stemness and epithelial-mesenchymal transition pathways in NELF-E KO SUM159 cells. c Western blot analysis of NELF-E and NELF-A in WT, NELF-E KO, and NELF-E rescue SUM159 cells. β-actin was used as the loading control. d Quantification of wound healing assay in WT, NELF-E KO, and NELF-E rescue SUM159 cells. Scale bar = 100 μm. e Quantification of mammosphere formation assay in WT, NELF-E KO, and NELF-E rescue SUM159 cells ( n = 4). Scale bar = 100 μm. f Quantification of invasion assay in WT, NELF-E KO, and NELF-E rescue SUM159 cells ( n = 3). Scale bar = 100 μm. g Body weight (mean ± SEM) of mice injected with 1.25 × 10 6 WT and NELF-E KO SUM159 cells, respectively ( n = 8, each group). h Lungs inflated and fixed with 10% neutral buffer formalin from mice in WT ( n = 8) and NELF-E KO group ( n = 8). i Representative images of H&E staining in lung tissues at three magnifications (mf: metastatic foci). From top to bottom, Bar = 2 mm, 500 μm, and 100 μm, respectively. j Quantitative analysis of lung metastasis presented as % of occupation by metastasis and the number of metastatic sites per lung ( n = 8/group). k Graph showing quantification of mammospheres in WT, NELF-E KO, and NELF-E rescue MCF7 cells at primary ( n = 3), secondary ( n = 4), and tertiary passages ( n = 4). l MCF7 cells from tertiary spheroids were seeded at a density of 1000 cells per well and incubated for 2 weeks. The colonies were then fixed and stained with crystal violet. m Flow cytometry analysis and quantification of the CD24 low /CD44 high population in MCF7 tertiary mammospheres ( n = 3). Blots and images are representative of at least three independent experiments. Data in ( d , e , f , j , k , m ) are presented as mean ± SD. p -values are determined by a two-tailed Student’s t -test. Source data are provided as a Source Data file.

Journal: Nature Communications

Article Title: Dependency of NELF-E-SLUG-KAT2B epigenetic axis in breast cancer carcinogenesis

doi: 10.1038/s41467-023-38132-1

Figure Lengend Snippet: a MA plot showing gene expression changes between NELF-E KO and WT SUM159 cells. Red and blue points indicate significantly upregulated ( n = 388) and downregulated ( n = 540) genes, respectively. b GSEA enrichment plot for stemness and epithelial-mesenchymal transition pathways in NELF-E KO SUM159 cells. c Western blot analysis of NELF-E and NELF-A in WT, NELF-E KO, and NELF-E rescue SUM159 cells. β-actin was used as the loading control. d Quantification of wound healing assay in WT, NELF-E KO, and NELF-E rescue SUM159 cells. Scale bar = 100 μm. e Quantification of mammosphere formation assay in WT, NELF-E KO, and NELF-E rescue SUM159 cells ( n = 4). Scale bar = 100 μm. f Quantification of invasion assay in WT, NELF-E KO, and NELF-E rescue SUM159 cells ( n = 3). Scale bar = 100 μm. g Body weight (mean ± SEM) of mice injected with 1.25 × 10 6 WT and NELF-E KO SUM159 cells, respectively ( n = 8, each group). h Lungs inflated and fixed with 10% neutral buffer formalin from mice in WT ( n = 8) and NELF-E KO group ( n = 8). i Representative images of H&E staining in lung tissues at three magnifications (mf: metastatic foci). From top to bottom, Bar = 2 mm, 500 μm, and 100 μm, respectively. j Quantitative analysis of lung metastasis presented as % of occupation by metastasis and the number of metastatic sites per lung ( n = 8/group). k Graph showing quantification of mammospheres in WT, NELF-E KO, and NELF-E rescue MCF7 cells at primary ( n = 3), secondary ( n = 4), and tertiary passages ( n = 4). l MCF7 cells from tertiary spheroids were seeded at a density of 1000 cells per well and incubated for 2 weeks. The colonies were then fixed and stained with crystal violet. m Flow cytometry analysis and quantification of the CD24 low /CD44 high population in MCF7 tertiary mammospheres ( n = 3). Blots and images are representative of at least three independent experiments. Data in ( d , e , f , j , k , m ) are presented as mean ± SD. p -values are determined by a two-tailed Student’s t -test. Source data are provided as a Source Data file.

Techniques: Expressing, Western Blot, Wound Healing Assay, Tube Formation Assay, Invasion Assay, Injection, Staining, Incubation, Flow Cytometry, Two Tailed Test

a Barplot showing the top perturbed pathways from Molecular Signatures Database (MSigDB) in Doxycycline (Dox)-treated MCF7ras+SS cells compared to the vehicle control. b Volcano plot depicting the significantly upregulated genes ( n = 1750) and downregulated genes ( n = 2223). Select mesenchymal/stemness-related genes are labeled in red, while epithelial genes are labeled in blue. adj. p -value ≤ 0.05; |fold change| ≥ 1.5. p -value was calculated using DESeq2 package (see details in “Methods”) c Western blot analysis for different markers in Dox-induced MCF7ras+SS cells transduced with scrambled or two independent shRNAs targeting NELF-E. GAPDH was used as the loading control. d GSEA plot of shNELF-E+Dox vs SCR+Dox cells. p -value was calculated from gene set enrichment analysis. (see detail in “Methods”). e Representative images and quantification of the migration and invasion assays. MCF7ras+SS cells were transduced with scrambled or NELF-E shRNA and treated with Dox to induce SOX9 and SLUG expression for 72 h prior to the assays ( n = 3). Scale Bar = 100 μm. f Representative images and quantification of the sphere-formation assay. MCF7ras+SS cells were transduced with scrambled or NELF-E shRNA, followed by 72-h Dox treatment. Cells were seeded at a density of 10K per well, and the number of spheres was counted 5–7 days later ( n = 4). Scale Bar = 100 μm. g Representative images and quantification of the soft agar assays for SCR+Dox and shNELF-E+Dox cells ( n = 3). h Flow cytometry analysis and quantification of the CD24 low /CD44 high population in NELF-E KD+Dox cells compared to SCR+Dox cells ( n = 3). Blots and images are representative of at least three independent experiments. p -values in ( e – h ) are determined by a two-tailed Student’s t -test. Mean ± SD is represented by bar graphs. Source data are provided as a Source Data file.

Journal: Nature Communications

Article Title: Dependency of NELF-E-SLUG-KAT2B epigenetic axis in breast cancer carcinogenesis

doi: 10.1038/s41467-023-38132-1

Figure Lengend Snippet: a Barplot showing the top perturbed pathways from Molecular Signatures Database (MSigDB) in Doxycycline (Dox)-treated MCF7ras+SS cells compared to the vehicle control. b Volcano plot depicting the significantly upregulated genes ( n = 1750) and downregulated genes ( n = 2223). Select mesenchymal/stemness-related genes are labeled in red, while epithelial genes are labeled in blue. adj. p -value ≤ 0.05; |fold change| ≥ 1.5. p -value was calculated using DESeq2 package (see details in “Methods”) c Western blot analysis for different markers in Dox-induced MCF7ras+SS cells transduced with scrambled or two independent shRNAs targeting NELF-E. GAPDH was used as the loading control. d GSEA plot of shNELF-E+Dox vs SCR+Dox cells. p -value was calculated from gene set enrichment analysis. (see detail in “Methods”). e Representative images and quantification of the migration and invasion assays. MCF7ras+SS cells were transduced with scrambled or NELF-E shRNA and treated with Dox to induce SOX9 and SLUG expression for 72 h prior to the assays ( n = 3). Scale Bar = 100 μm. f Representative images and quantification of the sphere-formation assay. MCF7ras+SS cells were transduced with scrambled or NELF-E shRNA, followed by 72-h Dox treatment. Cells were seeded at a density of 10K per well, and the number of spheres was counted 5–7 days later ( n = 4). Scale Bar = 100 μm. g Representative images and quantification of the soft agar assays for SCR+Dox and shNELF-E+Dox cells ( n = 3). h Flow cytometry analysis and quantification of the CD24 low /CD44 high population in NELF-E KD+Dox cells compared to SCR+Dox cells ( n = 3). Blots and images are representative of at least three independent experiments. p -values in ( e – h ) are determined by a two-tailed Student’s t -test. Mean ± SD is represented by bar graphs. Source data are provided as a Source Data file.

Techniques: Labeling, Western Blot, Transduction, Migration, shRNA, Expressing, Tube Formation Assay, Flow Cytometry, Two Tailed Test

a Log 2 fold change of UP-genes ( n = 1750), DOWN-genes ( n = 2223), and unchanged genes ( n = 1581) in the two different conditions. Gene categorization was based on the condition of SCR+Dox vs SCR-Con with the cutoffs of adj. p -value ≤ 0.05 and |fold change| ≥ 1.5. Center lines show median values, box limits represent the upper and lower quartiles, and whiskers show 1.5× the interquartile range. Two-tailed Student’s t -tests were used for all comparisons. p -values were not adjusted for multiple tests, and t -statistics are provided in source data. b Genomic distribution of NELF-E binding sites in Dox-treated MCF7ras+SS cells. c Metagene plots of NELF-E ChIP-seq signals in SCR-Con and SCR+Dox cells for UP-genes (top panel) and DOWN-genes (bottom panel). d Metagene plots of RNAPII ChIP-seq signals in SCR-Con, SCR+Dox, and shNELF-E+Dox cells for UP-genes and DOWN-genes. e Genome browser tracks showing NELF-E and RNAPII occupancies at the promoters of mesenchymal gene FN1 (left) and stemness-related gene CD44 (right). Source data are provided as a Source Data file.

Journal: Nature Communications

Article Title: Dependency of NELF-E-SLUG-KAT2B epigenetic axis in breast cancer carcinogenesis

doi: 10.1038/s41467-023-38132-1

Figure Lengend Snippet: a Log 2 fold change of UP-genes ( n = 1750), DOWN-genes ( n = 2223), and unchanged genes ( n = 1581) in the two different conditions. Gene categorization was based on the condition of SCR+Dox vs SCR-Con with the cutoffs of adj. p -value ≤ 0.05 and |fold change| ≥ 1.5. Center lines show median values, box limits represent the upper and lower quartiles, and whiskers show 1.5× the interquartile range. Two-tailed Student’s t -tests were used for all comparisons. p -values were not adjusted for multiple tests, and t -statistics are provided in source data. b Genomic distribution of NELF-E binding sites in Dox-treated MCF7ras+SS cells. c Metagene plots of NELF-E ChIP-seq signals in SCR-Con and SCR+Dox cells for UP-genes (top panel) and DOWN-genes (bottom panel). d Metagene plots of RNAPII ChIP-seq signals in SCR-Con, SCR+Dox, and shNELF-E+Dox cells for UP-genes and DOWN-genes. e Genome browser tracks showing NELF-E and RNAPII occupancies at the promoters of mesenchymal gene FN1 (left) and stemness-related gene CD44 (right). Source data are provided as a Source Data file.

Techniques: Two Tailed Test, Binding Assay, ChIP-sequencing

a Volcano plot of NELF-E qPLEX-RIME analysis of WT+Dox vs WT-Con. Proteins that satisfy the significance threshold of |log 2 (fold change)| ≥0.5 and adj. p -value <0.05 are labeled with their gene names and colored red. The p -value was adjusted by Benjamini–Hochberg multiple hypothesis correction. b Interaction network plot of proteins enriched in Dox induction by qPLEX-RIME, superimposed on the STRING interaction network. Interactions detected by qPLEX-RIME are colored in blue, while interactions from the STRING database are colored in gray. Proteins/nodes are colored based on log 2 (fold change) value. c Western blot analysis of SOX9, SLUG, and NELF-E following NELF-E immunoprecipitation (IP), performed on nuclear extracts from Dox-treated MCF7ras+SS cells. Blots are representative of three independent experiments. d Genomic distribution of SLUG binding sites in MCF7ras+SS cells transduced with scrambled shRNA and treated with Dox (SCR+Dox). e Metaplots of SLUG binding across the three different categories in SCR+Dox and shNELF-E+Dox MCF7ras+SS cells. f , g Pie chart and heatmap depiction of SLUG and NELF-E co-bound peaks at TSS and distal regions. Source data are provided as a Source Data file.

Journal: Nature Communications

Article Title: Dependency of NELF-E-SLUG-KAT2B epigenetic axis in breast cancer carcinogenesis

doi: 10.1038/s41467-023-38132-1

Figure Lengend Snippet: a Volcano plot of NELF-E qPLEX-RIME analysis of WT+Dox vs WT-Con. Proteins that satisfy the significance threshold of |log 2 (fold change)| ≥0.5 and adj. p -value <0.05 are labeled with their gene names and colored red. The p -value was adjusted by Benjamini–Hochberg multiple hypothesis correction. b Interaction network plot of proteins enriched in Dox induction by qPLEX-RIME, superimposed on the STRING interaction network. Interactions detected by qPLEX-RIME are colored in blue, while interactions from the STRING database are colored in gray. Proteins/nodes are colored based on log 2 (fold change) value. c Western blot analysis of SOX9, SLUG, and NELF-E following NELF-E immunoprecipitation (IP), performed on nuclear extracts from Dox-treated MCF7ras+SS cells. Blots are representative of three independent experiments. d Genomic distribution of SLUG binding sites in MCF7ras+SS cells transduced with scrambled shRNA and treated with Dox (SCR+Dox). e Metaplots of SLUG binding across the three different categories in SCR+Dox and shNELF-E+Dox MCF7ras+SS cells. f , g Pie chart and heatmap depiction of SLUG and NELF-E co-bound peaks at TSS and distal regions. Source data are provided as a Source Data file.

Techniques: Labeling, Western Blot, Immunoprecipitation, Binding Assay, Transduction, shRNA

a Dot plot showing KAT2B as one of the top genes ( n = 41) whose SLUG-mediated activation was most significantly attenuated by NELF-E KD. Expressions of corresponding genes in the two comparisons are connected by gray lines. b Genome browser tracks showing the occupancies of NELF-E, SLUG, and RNAPII on the KAT2B locus. c RT-qPCR analysis (left) and western blot analysis (right) of KAT2B in MCF7ras+SS cells treated with Dox for different time points ( n = 3). d Western blot analysis of KAT2B in MCF7ras+SS cells transduced with scrambled shRNA or two independent NELF-E shRNAs and treated with or without Dox. GAPDH was used as the loading control. e Heatmap depiction of SLUG/NELF-E/KAT2B/RNAPII signals at NELF-E-alone, SLUG-alone and NELF-E/SLUG co-bound regions. f Metaplot of KAT2B ChIP-Seq signals over the different cohorts of SLUG-bound regions. g Venn diagram showing the overlap between SLUG-bound UP-genes and NELF-E/KAT2B targets. The percentage overlap of SLUG-bound UP-genes compared to other categories is also indicated. h Genome browser tracks showing the occupancies of NELF-E, SLUG, and KAT2B on LAMC1 and ZEB1 loci. Blots are representative of three independent experiments. p -values are determined by a two-tailed Student’s t -test. Mean ± SD is represented by bar graphs. Source data are provided as a Source Data file.

Journal: Nature Communications

Article Title: Dependency of NELF-E-SLUG-KAT2B epigenetic axis in breast cancer carcinogenesis

doi: 10.1038/s41467-023-38132-1

Figure Lengend Snippet: a Dot plot showing KAT2B as one of the top genes ( n = 41) whose SLUG-mediated activation was most significantly attenuated by NELF-E KD. Expressions of corresponding genes in the two comparisons are connected by gray lines. b Genome browser tracks showing the occupancies of NELF-E, SLUG, and RNAPII on the KAT2B locus. c RT-qPCR analysis (left) and western blot analysis (right) of KAT2B in MCF7ras+SS cells treated with Dox for different time points ( n = 3). d Western blot analysis of KAT2B in MCF7ras+SS cells transduced with scrambled shRNA or two independent NELF-E shRNAs and treated with or without Dox. GAPDH was used as the loading control. e Heatmap depiction of SLUG/NELF-E/KAT2B/RNAPII signals at NELF-E-alone, SLUG-alone and NELF-E/SLUG co-bound regions. f Metaplot of KAT2B ChIP-Seq signals over the different cohorts of SLUG-bound regions. g Venn diagram showing the overlap between SLUG-bound UP-genes and NELF-E/KAT2B targets. The percentage overlap of SLUG-bound UP-genes compared to other categories is also indicated. h Genome browser tracks showing the occupancies of NELF-E, SLUG, and KAT2B on LAMC1 and ZEB1 loci. Blots are representative of three independent experiments. p -values are determined by a two-tailed Student’s t -test. Mean ± SD is represented by bar graphs. Source data are provided as a Source Data file.

Techniques: Activation Assay, Quantitative RT-PCR, Western Blot, Transduction, shRNA, ChIP-sequencing, Two Tailed Test

a GSEA plot showing significantly enriched pathways in siKAT2B+Dox vs siSCR+Dox MCF7ras+SS cells. p -value was calculated from gene set enrichment analysis (see details in “Methods”). b Western blot analysis of ECM1 and CD44 in MCF7ras+SS cells treated with or without GA and AA. GAPDH was used as the loading control. Images and blots are representative of three independent experiments. c qRT-PCR analysis of FN1 and ECM1 in GA- and AA-treated Dox-induced MCF7ras+SS cells ( n = 3). d Flow cytometry analysis and quantification of the CD24 low /CD44 high population in vehicle control, GA-, and AA-treated MCF7ras+SS cells, as a function of Dox induction. e Flow cytometry analysis and quantification of the CD24 low /CD44 high population following KAT2B overexpression in MCF7ras+SS cells. Vector control (GFP only; pCAGIG) and KAT2B-overexpression (KAT2B+GFP; pCAGIG-KAT2B) plasmids were transfected into MCF7ras+SS cells, respectively. The GFP − and GFP + populations were isolated and analyzed for the CD24 low /CD44 high population ( n = 3). f , g Patient-derived breast cancer organoids were transduced with scrambled shRNA or two independent KAT2B or NELF-E shRNAs, followed by western blot and sphere-formation assay ( n = 3). β-actin was used as the loading control. h Patient-derived breast cancer organoids were transduced with vector control or KAT2B overexpressing plasmid, followed by western blot and sphere-formation assay ( n = 4). GAPDH was used as the loading control. Blots and images are representative of at least three independent experiments. p -values in ( c – h ) are determined by a two-tailed Student’s t -test. Mean ± SD is represented by bar graphs. Source data are provided as a Source Data file.

Journal: Nature Communications

Article Title: Dependency of NELF-E-SLUG-KAT2B epigenetic axis in breast cancer carcinogenesis

doi: 10.1038/s41467-023-38132-1

Figure Lengend Snippet: a GSEA plot showing significantly enriched pathways in siKAT2B+Dox vs siSCR+Dox MCF7ras+SS cells. p -value was calculated from gene set enrichment analysis (see details in “Methods”). b Western blot analysis of ECM1 and CD44 in MCF7ras+SS cells treated with or without GA and AA. GAPDH was used as the loading control. Images and blots are representative of three independent experiments. c qRT-PCR analysis of FN1 and ECM1 in GA- and AA-treated Dox-induced MCF7ras+SS cells ( n = 3). d Flow cytometry analysis and quantification of the CD24 low /CD44 high population in vehicle control, GA-, and AA-treated MCF7ras+SS cells, as a function of Dox induction. e Flow cytometry analysis and quantification of the CD24 low /CD44 high population following KAT2B overexpression in MCF7ras+SS cells. Vector control (GFP only; pCAGIG) and KAT2B-overexpression (KAT2B+GFP; pCAGIG-KAT2B) plasmids were transfected into MCF7ras+SS cells, respectively. The GFP − and GFP + populations were isolated and analyzed for the CD24 low /CD44 high population ( n = 3). f , g Patient-derived breast cancer organoids were transduced with scrambled shRNA or two independent KAT2B or NELF-E shRNAs, followed by western blot and sphere-formation assay ( n = 3). β-actin was used as the loading control. h Patient-derived breast cancer organoids were transduced with vector control or KAT2B overexpressing plasmid, followed by western blot and sphere-formation assay ( n = 4). GAPDH was used as the loading control. Blots and images are representative of at least three independent experiments. p -values in ( c – h ) are determined by a two-tailed Student’s t -test. Mean ± SD is represented by bar graphs. Source data are provided as a Source Data file.

Techniques: Western Blot, Quantitative RT-PCR, Flow Cytometry, Over Expression, Plasmid Preparation, Transfection, Isolation, Derivative Assay, Transduction, shRNA, Tube Formation Assay, Two Tailed Test

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