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14,866 results for “cancer cell”
Eupatorin modulates BCPAP in thyroid cancer cell proliferation via suppressing the NF-κB/P13K/AKT signaling pathways
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AEG-1 inhibits proliferation and invasion of colorectal cancer HCT116 cells via the PI3K/AKT/mTOR pathway
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NF-kB suppresses the breast cancer cell's growth via the p38 MAPK inhibitor
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Selective inhibition of liver cancer cells using venom peptide
<p>The supplementary video of the article.</p>
Datasets accompanying Deep generative AI models analyzing circulating orphan non-coding RNAs enable accurate detection of early-stage non-small cell lung cancer
<p>These datasets accompany the manuscript "Deep generative AI models analyzing circulating orphan non-coding RNAs enable accurate detection of early-stage non-small cell lung cancer".</p> <p>The datasets include:</p> <ul> <li> <p><code>metadata.tsv.gz</code> Phenotype information of the samples</p> </li> <li> <p><code>mirna_counts.tsv.gz</code> MicroRNA count matrix (for data normalization)</p> </li> <li> <p><code>oncrna_counts.tsv.gz</code> oncRNA count matrix</p> </li> <li> <p><code>orion/</code> Ensemble of Orion models</p> </li> </ul>
Additional Datasets for: Integrative Mapping of Human CD8+ T Cell in Inflammation and Cancer
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A Pan-Cancer Single-Cell RNA-seq Atlas of Intratumoral B Cells
<p>Seurat object associated with publication 'A Pan-Cancer Single-Cell RNA-seq Atlas of Intratumoral B Cells' (Fitzsimons et al. Cancer Cell 2024)</p>
Fig. 6 in Cytotoxicity of methanolic extract of Swertia petiolata against gastric cancer cell line SNU-5 is via induction of apoptosis ⁎
Fig. 6. LC–MS chromatogram of methanolic extract of S. petiolata.
Identification of lipid species signature in FOLFOXIRI-resistant colorectal cancer cells
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Table 2 in Cytotoxicity of methanolic extract of Swertia petiolata against gastric cancer cell line SNU- 5 is via induction of apoptosis ⁎
<p><b>Table 2</b> LC–MS identification of major constituents of methanolic extract of <i>Swertia petiolata</i>. The retention time peak numbers are as per Fig. 6.</p><table><tbody><tr><th>Peak no.</th><th>Retention time (minutes)</th><th>M-H</th><th>M + H</th><th>Molecular weight</th><th>Compound</th></tr></tbody><tbody><tr><th>1</th><td>7.6</td><td>355</td><td>–</td><td>354</td><td>Chlorogenic acid</td></tr><tr><th>2</th><td>9.9</td><td>163</td><td>165</td><td>164</td><td><i>p</i> -Coumaric acid</td></tr><tr><th>3</th><td>11.2</td><td>–</td><td>455</td><td>456</td><td>Ursolic acid</td></tr><tr><th>4</th><td>12.4</td><td>–</td><td>465</td><td>464</td><td>Myrecetin 3- <i>O</i> -rahamnoside</td></tr><tr><th>5</th><td>15.1</td><td>326</td><td>–</td><td>327</td><td>Unidentified</td></tr><tr><th>6</th><td>15.9</td><td>433</td><td>435</td><td>434</td><td>Quercetin 3-arabinoside</td></tr><tr><th>7</th><td>18.5</td><td>447</td><td>–</td><td>448</td><td>Kaempherol 3- <i>O</i> -glucoside</td></tr><tr><th>8</th><td>21.3</td><td>271</td><td>273</td><td>272</td><td>Naringenin</td></tr><tr><th>9</th><td>22.4</td><td>269</td><td>–</td><td>270</td><td>Genistein</td></tr><tr><th>10</th><td>26.2</td><td>315</td><td>–</td><td>316</td><td>Isorhamnetin</td></tr><tr><th>11</th><td>28.7</td><td>287</td><td>289</td><td>288</td><td>Swerchirin</td></tr></tbody></table>
Table 1 in Cytotoxicity of methanolic extract of Swertia petiolata against gastric cancer cell line SNU- 5 is via induction of apoptosis ⁎
<p><b>Table 1</b> IC 50 of methanolic extract of <i>S</i>. <i>petiolata</i> against different cancer cell lines determined by MTT assay.</p><table><tbody><tr><th>Cell line</th><th>IC50 (μg/ml)</th></tr></tbody><tbody><tr><th>Human lung cancer cell line A-549</th><td>75</td></tr><tr><th>Human prostate cancer cell line PC-3</th><td>125</td></tr><tr><th>Human breast cancer cell line MCF-7</th><td>75</td></tr><tr><th>Human gastric cancer cell line SNU-5</th><td>64</td></tr><tr><th>Human pancreas cancer cell line MiaPaca-2</th><td>75</td></tr><tr><th>Human normal cell line fR2</th><td>250</td></tr></tbody></table>
Table 1 in Phytoconstituents from Vernonia glaberrima Welw. Ex O. Hoffm. leaves and their cytotoxic activities on a panel of human cancer cell lines
<p><b>Table 1</b> The IC 50 values for the cytotoxic activity of <i>Vernonia glaberrima</i> leaves crude methanolic extract on cancer cell lines for 72-h treatment.</p><table><tbody><tr><th>Cancer cell lines</th><th>IC50 (μg/mL)</th></tr></tbody><tbody><tr><th>A375</th><td>26.23 (1.14)</td></tr><tr><th>HT-29</th><td>101.92 (7.86)</td></tr><tr><th>MCF7</th><td>206.60 (12.72)</td></tr></tbody></table><p>The values are means with SD in parenthesis for three replicates.</p>
Table 2 in Phytoconstituents from Vernonia glaberrima Welw. Ex O. Hoffm. leaves and their cytotoxic activities on a panel of human cancer cell lines
<p><b>Table 2</b> IC 50 values for 72-h treatment with <i>V. glaberrima</i> compounds on different cell lines.</p><table><tbody><tr><th>Treatment</th><th>IC50 (μg/mL)</th></tr></tbody><tbody><tr><th></th><td>A375</td><td>HT-29</td><td>MCF7</td></tr><tr><th>Nonacosanoic acid (1)</th><td>ND</td><td>ND</td><td>ND</td></tr><tr><th>Lupeol (2)</th><td>59.18 (2.70)</td><td>15.24 (1.15)</td><td>34.15 (2.32)</td></tr><tr><th>5-Methylcoumarin-4-β- glucoside (3)</th><td>91.84 (6.78)</td><td>20.00 (1.60)</td><td>ND</td></tr><tr><th>4-Hydroxy-5-methylcoumarin (4)</th><td>139.53 (10.79)</td><td>4.22 (0.13)</td><td>ND</td></tr><tr><th>5-Fluorouracil</th><td>3.91 (0.25)</td><td>8.00 (0.78)</td><td>4.33 (0.11)</td></tr></tbody></table><p>The values represent means obtained results of triplicate experiments with SD in parenthesis, ND depicts no detected activity.</p>
CircRPPH1 promotes cell proliferation, migration and invasion of non-small cell lung cancer (NSCLC) via the PI3K/AKT and JAK2/STAT3 signaling axes
<p>original numerical data before creating graphs</p>
Data from: Quantification of sensitivity and resistance of breast cancer cell lines to anti-cancer drugs using GR metrics
Traditional means for scoring the effects of anti-cancer drugs on the growth and survival of cell lines is based on relative cell number in drug-treated and control samples and is seriously confounded by unequal division rates arising from natural biological variation and differences in culture conditions. This problem can be overcome by computing drug sensitivity on a per-division basis. The normalized growth rate inhibition (GR) approach yields per-division metrics for drug potency (GR50) and efficacy (GRmax) that are analogous to the more familiar IC50 and Emax values. In this work, we report GR-based, proliferation-corrected, drug sensitivity metrics for ~4,700 pairs of breast cancer cell lines and perturbagens. Such data are broadly useful in understanding the molecular basis of therapeutic response and resistance. Here, we use them to investigate the relationship between different measures of drug sensitivity and conclude that drug potency and efficacy exhibit high variation that is only weakly correlated. To facilitate further use of these data, computed GR curves and metrics can be browsed interactively at http://www.GRbrowser.org/.
Data from: Mutation screening of 1,237 cancer genes across six model cell lines of basal-like breast cancer
Basal-like breast cancer is an aggressive subtype generally characterized as poor prognosis and lacking the expression of the three most important clinical biomarkers, estrogen receptor, progesterone receptor, and HER2. Cell lines serve as useful model systems to study cancer biology in vitro and in vivo. We performed mutational profiling of six basal-like breast cancer cell lines (HCC38, HCC1143, HCC1187, HCC1395, HCC1954, and HCC1937) and their matched normal lymphocyte DNA using targeted capture and next-generation sequencing of 1,237 cancer-associated genes, including all exons, UTRs and upstream flanking regions. In total, 658 somatic variants were identified, of which 378 were non-silent (average 63 per cell line, range 37–146) and 315 were novel (not present in the Catalogue of Somatic Mutations in Cancer database; COSMIC). 125 novel mutations were confirmed by Sanger sequencing (59 exonic, 48 3'UTR and 10 5'UTR, 1 splicing), with a validation rate of 94% of high confidence variants. Of 36 mutations previously reported for these cell lines but not detected in our exome data, 36% could not be detected by Sanger sequencing. The base replacements C/G>A/T, C/G>G/C, C/G>T/A and A/T>G/C were significantly more frequent in the coding regions compared to the non-coding regions (OR 3.2, 95% CI 2.0–5.3, P<0.0001; OR 4.3, 95% CI 2.9–6.6, P<0.0001; OR 2.4, 95% CI 1.8–3.1, P<0.0001; OR 1.8, 95% CI 1.2–2.7, P = 0.024, respectively). The single nucleotide variants within the context of T[C]T/A[G]A and T[C]A/T[G]A were more frequent in the coding than in the non-coding regions (OR 3.7, 95% CI 2.2–6.1, P<0.0001; OR 3.8, 95% CI 2.0–7.2, P = 0.001, respectively). Copy number estimations were derived from the targeted regions and correlated well to Affymetrix SNP array copy number data (Pearson correlation 0.82 to 0.96 for all compared cell lines; P<0.0001). These mutation calls across 1,237 cancer-associated genes and identification of novel variants will aid in the design and interpretation of biological experiments using these six basal-like breast cancer cell lines.
Figure 5 from: Abbas AH, Mahmood AAR, Tahtamouni LH, Al-Mazaydeh ZA, Rammaha MS, Alsoubani F, Al-bayati RI (2021) A novel derivative of picolinic acid induces endoplasmic reticulum stress-mediated apoptosis in human non-small cell lung cancer cells: synthesis, docking study, and anticancer activity. Pharmacia 68(3): 679-692. https://doi.org/10.3897/pharmacia.68.e70654
Figure 5 Compound 5 induces the ER-mediated apoptosis. A) Representative Western blot showing the enhanced release of Smac/DIABLO but not cytochrome c from the mitochondria (MF) into the cytosol (CF) of compound 5-treated A549 lung cancer cells (GI50). Equal protein loading was controlled by staining membranes with Ponceau S (a representative section of the stained membrane is shown). The experiment was repeated three times and the corresponding quantification is shown in (B), B) Quantification of smac/DIABLO and cytochrome C levels in vehicle-treated control A549 cells and cells treated with GI50 amount of compound 5 or 5% DMSO as a negative control. M: mitochondria fraction; C: cytosol fraction. Scale bars: mean ± SEM of three independent experiments. ** p < 0.01 compared to vehicle-treated control cells, C) Representative Western blot showing the induction of phosphorylation of eukaryotic initiation factor-2 (eIF-2) in A549 cells treated with GI50 amounts of compound 5. For comparison purposes, thapsigargin (TG), an ER stress-causing drug was used (3 μM, 2 h) as a positive control. The experiment was repeated three times.
Figure 4 from: Abbas AH, Mahmood AAR, Tahtamouni LH, Al-Mazaydeh ZA, Rammaha MS, Alsoubani F, Al-bayati RI (2021) A novel derivative of picolinic acid induces endoplasmic reticulum stress-mediated apoptosis in human non-small cell lung cancer cells: synthesis, docking study, and anticancer activity. Pharmacia 68(3): 679-692. https://doi.org/10.3897/pharmacia.68.e70654
Figure 4 Compound 5 causes caspase activation. A) qRT-PCR analysis of caspase 3, 4, 8 and 9 mRNA in compound 5-treated cells (GI50) as compared to vehicle-treated control cells [set as 1 arbitrary unit (a.u.)]. Values were normalized to β-actin. Scale bars: mean ± SEM of three independent experiments performed in triplicates. *p < 0.05, **p < 0.01 compared to vehicle-treated control cells, B) Representative Western blots showing cleavage "activation' of procaspase 3 to the active form p17, procaspase 4 to the active form p20, and procaspase 9 to the active forms p35/p37. C: vehicle-treated control cells; 0.5%: 0.5% DMSO-treated cells; 1%: 1% DMSO-treated cells; 5%: 5% DMSO-treated cells; C.5: Compound 5-treated cells. The experiment was repeated three times.
Figure 2 from: Abbas AH, Mahmood AAR, Tahtamouni LH, Al-Mazaydeh ZA, Rammaha MS, Alsoubani F, Al-bayati RI (2021) A novel derivative of picolinic acid induces endoplasmic reticulum stress-mediated apoptosis in human non-small cell lung cancer cells: synthesis, docking study, and anticancer activity. Pharmacia 68(3): 679-692. https://doi.org/10.3897/pharmacia.68.e70654
Figure 2 The MTT (3-(4,5-dimethylthiazol-2-yl)-2,5 diphenyltetrazolium bromide) assay results for compound 5 against MCF10A cells, and white blood cells (WBC) after 24, 48 and 72 h of treatment.
Figure 3 from: Abbas AH, Mahmood AAR, Tahtamouni LH, Al-Mazaydeh ZA, Rammaha MS, Alsoubani F, Al-bayati RI (2021) A novel derivative of picolinic acid induces endoplasmic reticulum stress-mediated apoptosis in human non-small cell lung cancer cells: synthesis, docking study, and anticancer activity. Pharmacia 68(3): 679-692. https://doi.org/10.3897/pharmacia.68.e70654
Figure 3 Compound 5 induces apoptosis in A549 lung cancer cells. A) Fluorescence images of A549 lung cancer cells showing fragmented nuclei after DAPI staining. Scale bar: 10 µm, B) Detection of DNA fragmentation by agarose gel electrophoresis. Cells were treated and genomic DNA was extracted and electrophoresed on 1.5% agarose gels. M: DNA molecular weight marker; C: vehicle-treated control cells; 1%: 1% DMSO-treated cells; 5%: 5% DMSO-treated cells; C.5: Compound 5-treated cells. Arrows indicate DNA fragments. Three experiments were performed with similar results.
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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)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
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.