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560 results for “MCF-7”
PAMAM-G4 protect the N-(2-hydroxyphenyl)-2-propylpentanamide (HO-AAVPA) and maintain its antiproliferative effects on MCF-7 (Dataset).
<p>Our work group designed and synthesized a promissory compound N-(2-hydroxyphenyl)-2- propylpentanamide (HO-AAVPA). The HO-AAVPA which is a HDAC1 inhibitor and antiproliferative in cancer cell lines. However, HO-AAVPA is poor water solubility and enzymatically metabolized. In this work, the fourth-generation poly(amidoamine) dendrimer (PAMAM-G4) was used as a drug deliver nanocarrier of HO-AAVPA. Moreover, HO-AAVPA and HO-AAVPA-PAMAM complex were submitted to forced degradation studies (heat, acid, base, oxidation and sunlight). Also, the HO-AAVPA- PAMAM-G4 complex was assayed as antiproliferative in a breast cancer cell line (MCF-7). The HO AAVPA-PAMAM-G4 complex was obtained by docking and experimentally using three pH conditions: acid (pH = 3.0), neutral (pH = 7.0) and basic (pH = 9.0) showing that PAMAM-G4 is captured and protect the HO-AAVPA from forced degradation, it is due to sunlight yielded a by-product from HO-AAVPA. In addition, the PAMAM-G4 favored the HO-AAVPA water solubility under basic and neutral pH conditions with significant difference (F <sub>(2,18)</sub> =259.9, p<0.001) between the slopes of the three conditions being the basic condition which solubilizes the greatest amount of HO-AAVPA. Finally, the HO-AAVPA-PAMAM-G4 complex showed better antiproliferative effects on MCF-7 (IC<sub>50</sub> = 75.3 μM) than HO-AAVPA (IC<sub>50</sub> = 192 μM). These results evidence that PAMAM- G4 complex improve the biological effects of HO-AAVPA.</p>
WHiM-BC Dataset: Evolution of CSCs and non CSCs MCF-7 Migration in Wound Healing Assay
<p>The WHiM-BC Dataset has been utilized to train Deep Learning models for the prediction of migration capabilities of MCF-7 cells, facilitated by the <a href="https://github.com/frangam/wound-healing">Predicting Wound Healing Progress Framework (PWPF)</a>.</p> <p>The software can be accessed on GitHub: <a href="https://github.com/frangam/wound-healing">https://github.com/frangam/wound-healing</a>.</p> <p>Or you can download from Zenodo: <a href="https://doi.org/10.5281/zenodo.8130984">https://doi.org/10.5281/zenodo.8130984</a></p> <p>The dataset comprises two distinct parts:</p> <p>MCF-7 Monolayer Cells: This part includes photographs of 12 different wells taken at 0h, 3h, 6h, 9h, 12h, 24h, and 27h, marking the final time of wound closure.</p> <p>MCF-7 Spheres: This portion of the dataset mirrors the first, with images of 12 wells captured at the following time intervals: 0h, 3h, 6h, 9h, 12h, and 15h, indicating the closure time.</p> <p>The dataset consists of a total of (12<em>7) for the MCF-7 Monolayer Cells and (12</em>6) for the MCF-7 Spheres, amounting to a sum of photographs from both parts.</p> <p> </p> <p>If you utilize this tool in your research, please acknowledge it by citing the following reference:</p> <p><br><br>@article{Garcia-Moreno-PWPF,<br> title={Using Deep Learning for Predicting the Dynamic Evolution of Breast Cancer Migration},<br> author={Garcia-Moreno, Francisco Manuel and Ruiz-Espigares, Jesus and Marchal, Juan Antonio and Gutierrez-Naranjo, Miguel Angel},<br> year={2024},<br> journal={Computers in Biology and Medicine},<br> doi={10.1016/j.compbiomed.2024.108890},<br> note={\url{https://authors.elsevier.com/tracking/article/details.do?aid=108890&jid=CBM&surname=Garcia-Moreno}}<br>}</p> <p>And also cite our MCF-7 Dataset used to train our software:</p> <p><br>@misc{WHiM-BC_Dataset,<br> title={WHiM-BC Dataset: Evolution of CSCs and non CSCs MCF-7 Migration in Wound Healing Assay},<br> author={Garcia-Moreno, Francisco Manuel and Ruiz-Espigares, Jesus and Marchal, Juan Antonio and Gutiérrez-Naranjo, Miguel Ángel},<br> year={2023},<br> doi={10.5281/zenodo.8131123},<br> url={https://doi.org/10.5281/zenodo.8131123},<br> note = {version 1.0}<br>}<br><br></p>
DNA damage and reticular stress in cytotoxicity and oncotic cell death of MCF-7 cells treated with fluopsin C
<p>DNA damage and reticular stress in cytotoxicity and oncotic cell death of MCF-7 cells treated with fluopsin C</p>
#39 in MCF-7 and U87MG tumor models at different time points
<p>Original CT and PET image files for compound #39 in MCF-7 and U87MG tumor models at different time points. </p>
Fig. 7 in Ethanolic extract of Mimosa caesalpiniifolia leaves: Chemical characterization and cytotoxic effect on human breast cancer MCF-7 cell line
Fig. 7. Agarose gel electrophoresis of MCF-7 cell genomic DNA. 1, ladder marker; 2, negative control; 3, cyclophosphamide (CP)-treated; 4–7, ethanolic extracts of Mimosa caesalpiniifolia leaves (EEM) in different concentrations (5.0; 20.0; 160.0 and 320.0 μg/mL). The results are representative of three independent experiments carried out in the same conditions. DNA ladder formation indicates apoptosis as seen in lanes 3–7.
Fig. 6. MCF-7 in Ethanolic extract of Mimosa caesalpiniifolia leaves: Chemical characterization and cytotoxic effect on human breast cancer MCF-7 cell line
Fig. 6. MCF-7 cell death (%) after treatment with cyclophosphamide (CP, 550 μg/mL) and different concentrations (5.0–320.0 μg/mL) of the ethanolic extract of Mimosa caesalpiniifolia leaves (EEM) for 24 h, compared to the negative control cells (NC), estimated by the Fast green color dye exclusion. Results are expressed as mean ± SEM of three independent experiments. Different letters indicate significant differences (p <0.01) by the Tukey test. Inset: appearance of cells after fast green-hematoxylin–eosin staining; 1, living cell; 2, green dead cell. EEM treatment kills MCF-7 cells in a concentrationdependent manner.
Fig. 3 in Ethanolic extract of Mimosa caesalpiniifolia leaves: Chemical characterization and cytotoxic effect on human breast cancer MCF-7 cell line
Fig. 3. Morphology of MCF-7 cells stained with hematoxylin–eosin, after 24 and 48 h incubation. NC, negative control cells; CP, cells treated with 550 μg/mL cyclophosphamide; 5, 80 and 320, cells treated, respectively, with 5.0, 80.0 and 320.0 μg/mL ethanolic extract of Mimosa caenalpiniifolia leaves. All the pictures are typical of three independent experiments, each carried out under identical conditions. Bar = 5 μm. Arrow—nucleolus; R—rounding; CC—chromatin condensation.
Fig. 2. MCF-7 in Ethanolic extract of Mimosa caesalpiniifolia leaves: Chemical characterization and cytotoxic effect on human breast cancer MCF-7 cell line
Fig. 2. MCF-7 cell protein content decreasing (%), estimated by the sulforhodamine B assay, after treatment with cyclophosphamide (CP, 550 μg/mL) and different concentrations of the ethanolic extract of Mimosa caesalpiniifolia leaves (EEM 5.0 - 320.0 μg/mL) for 24 and 48 h. The results are expressed as mean ± SEM of three independent experiments. Different letters indicate significant differences (p <0.001) by the Tukey test. Protein content was calculated relative to the negative control and 320.0 μg/mL EEM produced the maximum effect.
Fig. 1 in Ethanolic extract of Mimosa caesalpiniifolia leaves: Chemical characterization and cytotoxic effect on human breast cancer MCF-7 cell line
Fig. 1. HPLC-DAD-ESI-MS analysis of the ethanolic extract of Mimosa caesalpiniifolia leaves. (A) UV 360 nm; (B) ESI-MS, base peak chromatogram, negative ion mode, m/z 100–1500. No additional peaks were detected when the UV trace was recorded at wavelengths down to 360 nm. Peaks assigned as m/z: 288.97, 318.00, and 576.77 were identified, respectively, as catechin, 2,3 dihydroquercetagetin, and procyanidin B2 [(epi)catechin–(epi)catechin)] (see structures).
Fig. 4. MCF-7 in Ethanolic extract of Mimosa caesalpiniifolia leaves: Chemical characterization and cytotoxic effect on human breast cancer MCF-7 cell line
Fig. 4. MCF-7 cell diameter (μm) after treatment with cyclophosphamide (CP, 550 μg/mL) and different concentrations (5.0–320.0 μg/mL) of the ethanolic extract of Mimosa caesalpiniifolia leaves (EEM) for 24 or 48 h, compared to the negative control cells (NC). Results are expressed as mean ± SEM of three independent experiments. Different letters indicate significant differences (p <0.01) by the Tukey test. Note cell-diameter reduction after treatment, in comparison to the negative control cells, thereby indicating EEM cytotoxicity.
Data from: Metabolites of n-Butylparaben and iso-Butylparaben exhibit estrogenic properties in MCF-7 and T47D human breast cancer cell lines
Two oxidized metabolites of n-butylparaben (BuP) and iso-butylparaben (IsoBuP) discovered in human urine samples exhibit structural similarity to endogenous estrogens. We hypothesized that these metabolites bind to the human estrogen receptor (ER) and promote estrogen signaling. We tested this using models of ER-mediated cellular proliferation. The estrogenic properties of 3-hydroxy n-butyl 4-hydroxybenzoate (3OH) and 2-hydroxy iso-butyl 4-hydroxybenzoate (2OH) were determined using the ER-positive, estrogen-dependent human breast cancer cell lines MCF-7, and T47D. The 3OH metabolite induced cellular proliferation with EC50 of 8.2 µM in MCF-7 cells. The EC50 for 3OH in T47D cells could not be reached. The 2OH metabolite induced proliferation with EC50 of 2.2 µM and 43.0 µM in MCF-7 and T47D cells, respectively. The EC50 for the parental IsoBuP and BuP was 0.30 and 1.2 µM in MCF-7 cells, respectively. The expression of a pro-proliferative, estrogen-inducible gene (GREB1) was induced by these compounds and blocked by co-administration of an ER antagonist (ICI 182, 780), confirming the ER-dependence of these effects. The metabolites promoted significant ER-dependent transcriptional activity of an ERE-luciferase reporter construct at 10 and 20 µM for 2OH and 10 µM for 3OH. Computational docking studies showed that the paraben compounds exhibited the potential for favorable ligand-binding domain interactions with human ERα in a manner similar to known x-ray crystal structures of 17ß-estradiol in complex with ERα. We conclude that the hydroxylated metabolites of BuP and IsoBuP are weak estrogens and should be considered as additional components of potential endocrine disrupting effects upon paraben exposure.
Supplementary material 3 from: Khalaf WY, Elias RS, Raheem LA (2023) Design, synthesis and molecular docking study of coumarin pyrazoline derivatives against MCF-7 breast cancer cell line. Pharmacia 70(4): 1497-1492. https://doi.org/10.3897/pharmacia.70.e108670
Data synthesis compounds, physicochemical properties and identification of synthesis compound
Supplementary material 1 from: Khalaf WY, Elias RS, Raheem LA (2023) Design, synthesis and molecular docking study of coumarin pyrazoline derivatives against MCF-7 breast cancer cell line. Pharmacia 70(4): 1497-1492. https://doi.org/10.3897/pharmacia.70.e108670
Synthesis compounds
Supplementary material 2 from: Khalaf WY, Elias RS, Raheem LA (2023) Design, synthesis and molecular docking study of coumarin pyrazoline derivatives against MCF-7 breast cancer cell line. Pharmacia 70(4): 1497-1492. https://doi.org/10.3897/pharmacia.70.e108670
Docking study
#41 in MCF-7 tumor model at different time points
<p>Original PET and CT image files for compound #41 in MCF-7 tumor model at different time points</p>
Data from: Metabolites of n-Butylparaben and iso-Butylparaben exhibit estrogenic properties in MCF-7 and T47D human breast cancer cell lines
Open the record for dataset details and reuse information.
ChIP-seq from MCF-7 (ENCSR801SWX)
GEO Series GSE105812. Homo sapiens. 2 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
ChIP-seq from MCF-7 (ENCSR934JDG)
GEO Series GSE127640. Homo sapiens. 2 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
MicroRNA-7-5p mediates the anti-oncogenic effect of hepatocyte growth factor in the MCF-10A mammary epithelial cell
GEO Series GSE102758. Homo sapiens. 2 samples. Type: Expression profiling by array.
BruChase-seq from MCF-7 (ENCSR562TNZ)
GEO Series GSE177351. Homo sapiens. 2 samples. Type: Other.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.