1,974,254 research outputs found
Wavelength-Multiplexed Polymer LEDs: Towards 55 Mb/s Organic Visible Light Communications
Get PDFWe present recent progress on visible light communication systems using polymer light-emitting diodes as the transmitters and a commercial silicon photodetector as the receiver. In this paper, we use transmitters at red, green, and blue wavelengths to investigate the maximum on-off keying link performance of each device type as the first steps toward a wavelength-division multiplexed link. We show that a total transmission speed of 13 Mb/s is achievable when considering the raw bandwidth of each of the RGB PLEDs. Such a rate represents a 30% gain over previously demonstrated systems. Further capacity improvement can be achieved using high performance artificial neural network equalizer offering a realistic prospect for transmission speeds up to 54.9 Mb/s
Proposed mechanism of butein effect in MDA-MB-231 and MDA-MB-468 TNBC cells.
No full textThe diagram shows butein inhibitory effect in TNF-α-stimulated CCL2 expression at mRNA and protein level, attenuating IKBKE expression as a possible molecular mechanism in Caucasian cells; in addition to a possible signaling pathway for butein apoptotic effects in MDA-MB-231 and MDA-MB-468 TNBC cells.</p
Celecoxib downregulated COX-2 protein expression in all MDA-MB-231 and MDA-MB-435 variants, but celecoxib downregulated Bcl-2 expression in only the MDA-MB-435-stable transfectants
No full text<p><b>Copyright information:</b></p><p>Taken from "Adenovirus type 5 -induced apoptosis in COX-2-overexpressing breast cancer cells"</p><p>Breast cancer research : BCR 2007;9(4):R41-R41.</p><p>Published online 5 Jul 2007</p><p>PMCID:PMC2206712.</p><p></p> () Western blots of MDA-MB-231 and MDA-MB-435 cells treated with 0 or 40 μM celecoxib for 5 days and tested for COX-2 and Bcl-2. Percentages indicate differences relative to the 0 μM control samples. Protein expression was considered to be downregulated if the treated condition was at least 20% less than the control (untreated) condition. () Time course of Bcl-2 expression after treatment with 0 or 40 μM celecoxib in MDA-MB-435-and MDA-MB-231-stable transfectants. Bcl-2 was suppressed at both 72 and 96 h in the MDA-MB-435-stable transfectants but was not suppressed in the MDA-MB-231-stable transfectants. () Transfection of MDA-MB-435 cells with Bcl-2 DNA (+) or a control DNA (-) led to overexpression of Bcl-2 in all variants. () MDA-MB-435-cells made to overexpress Bcl-2 and non-Bcl-2-overexpressing cells were treated with 0 or 40 μM celecoxib for 5 days, and cell viability was determined with a trypan-blue assay. Bcl-2 overexpression did not restore sensitivity to celecoxib (= 0.11)
Celecoxib enhances apoptosis of MDA-MB-231-and MDA-MB-435-stable transfectants
No full text<p><b>Copyright information:</b></p><p>Taken from "Adenovirus type 5 -induced apoptosis in COX-2-overexpressing breast cancer cells"</p><p>Breast cancer research : BCR 2007;9(4):R41-R41.</p><p>Published online 5 Jul 2007</p><p>PMCID:PMC2206712.</p><p></p> Cell cycle distribution of MDA-MB-231-and MDA-MB-435-cells was detected by fluorescence-activated cell sorting after a 5-day exposure to 0 or 40 μM celecoxib. The percentage of cells in sub-G(apoptosis) appears at the upper right of each graph. Western blots of MDA-MB-231 and MDA-MB-435 cells treated with 0 or 40 μM celecoxib for 5 days and tested for cleaved caspase-9 (cl-cas-9), uncleaved and cleaved caspase-8 (cl-cas-8), PARP (uncleaved and cleaved), E1A, and actin. Cleaved PARP and cleaved caspase-9 levels were higher after celecoxib treatment in the MDA-MB-231-and MDA-MB-435-stable transfectants, but expression of cleaved caspase-8 (cl-cas-8) did not change
mb-HSP70 and fecundity
No full textThis file contains the measurements units mb-HSP70/clam and the number of eggs/clam in the laboratory experiment. Examining the effects of dissolved oxygen on Macoma balthica. Mb-HSP70 is a protein expressed in Macoma balthica. Eggs/clam could only be calculated for the > 4.0 mg/L treatment, and the < 2.0 mg/L treatment; blank indicate no data is available. Treatment represents the nominal dissolved oxygen (mg O2/L) treatment group. Replicate represents the replicate tank number within each treatment
MB-LRP
No full textMB-LRPAll results are accessible at our data portal: https://cdc.biohpc.swmed.edu/mblrp/.OverviewThe rapidly accumulating experimental evidence begin to support a strong association between the intratumor microbiome and tumorigenesis. However, existing studies have either focused on a limited number of bacterial species or restricted the study in a single cancer type. A comprehensive, high-throughput investigation on the role of microbial species in the clinical, immune, and genomic features of cancer patients is still lacking. To fill this gap, we developed a three-stage computational framework, named MB-LRP, which harnesses the power of explainable deep learning models to identify bacterial biomarkers associated with clinical, immune, and genomic features of cancer patients through layer-wise relevance propagation (LRP). To validate the efficacy of MB-LRP, we examined multiple MB-LRP-identified microbial biomarkers based on experimental evidence from colon cancer and stomach cancer patients and were able to confirm the presence of multiple microbial biomarkers that were previously unknown. Furthermore, we have demonstrated the clinical relevance of these biomarkers through association studies with patients’ survival outcomes. Overall, we confirmed that MB-LRP could provide a comprehensive approach for detecting microbial biomarkers and have the potential to uncover previously unexplored tumor-associated microbes. As a new, large-scale resource to the whole cancer research community, all microbial biomarkers identified by MB-LRP for a wide range of immune, clinical, and genomic features are accessible from the MB-LRP data portal (https://cdc.biohpc.swmed.edu/mblrp).About this repositoryFolders"data" folder includes:The dataset of immune, clinical and genomic traits for cancer patients of TCGA projects.Normalized microbiome data processed by SHOGUN pipeline.Metadata for microbiome data.Biospecimen data for colon adenocarcinoma (COAD) and stomach adenocarcinoma (STAD) patients in TCGA projects.Microbial biomarkers from GMrepoV2 - COAD cohort.Microbial biomarkers by applying Linear discriminant analysis (LDA) effect size (LEfSe) method - STAD cohort."immune_variables_prediction_COAD_STAD" folder includes all Jupyter Notebooks for Stage I, II, III and survival analysis for all immune traits for COAD and STAD patients."clinical_variables_prediction_COAD_STAD" folder includes all Jupyter Notebooks for Stage I, II, III and survival analysis for all clinical traits for COAD and STAD patients."mutation_CNV_prediction_COAD_STAD" folder includes all Jupyter Notebooks for Stage I, II, III and survival analysis for all genomic traits for COAD and STAD patients.CodesIn each of "immune_variables_prediction_COAD_STAD", "clinical_variables_prediction_COAD_STAD" and "mutation_CNV_prediction_COAD_STAD" folder, the code files are as follows:Stage 1 - Prediction.ipynb: the Jupyter Notebook for Stage I: Prediction;Stage 2 - Model Explanation by LRP.ipynb: the Jupyter Notebook for Stage II: Biomarker Identification;Stage 3 - Enrichment Analysis.ipynb: the Jupyter Notebook for Stage III: Validation;Dual significance - LRP and survival.ipynb: the Jupyter Notebook for survival analysis;utils_eval.py: utility functions.ContactsSen Yang:[email protected] | [email protected] Biomedical Research Center, Peter O’Donnell Jr. School of Public Health, University of Texas Southwestern Medical Center, Dallas, TX, USADepartment of Statistics and Data Science, Southern Methodist University, Dallas, TX, USALin Xu:[email protected] Biomedical Research Center, Peter O’Donnell Jr. School of Public Health, University of Texas Southwestern Medical Center, Dallas, TX, USADepartment of Pediatrics, Division of Hematology/Oncology, University of Texas Southwestern Medical Center, Dallas, TX, USAXiaowei Zhan:[email protected] Biomedical Research Center, Peter O’Donnell Jr. School of Public Health, University of Texas Southwestern Medical Center, Dallas, TX, USACenter for the Genetics of Host Defense, University of Texas Southwestern Medical Center, Dallas, TX, USA</p
LCC15-MB cells are MDA-MB-435: A review of misidentified breast and prostate cell lines
No full textLCC15-MB cells are MDA-MB-435: A review of misidentified breast and prostate cell line
Celecoxib-induced apoptosis of MDA-MB-231-and MDA-MB-435-cells depends on PGEor PGF
No full text<p><b>Copyright information:</b></p><p>Taken from "Adenovirus type 5 -induced apoptosis in COX-2-overexpressing breast cancer cells"</p><p>Breast cancer research : BCR 2007;9(4):R41-R41.</p><p>Published online 5 Jul 2007</p><p>PMCID:PMC2206712.</p><p></p> Treatment of MDA-MB-231-and MDA-MB-435-stable transfectants with 0 or 40 μM celecoxib (CLX) plus 10 μM of either PGEor PGFfor 5 days blunted sensitivity to celecoxib in both cell lines
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