27 research outputs found
Additional file 6: Table S5. of Computational master-regulator search reveals mTOR and PI3K pathways responsible for low sensitivity of NCI-H292 and A427 lung cancer cell lines to cytotoxic action of p53 activator Nutlin-3
List of 62 genes up-regulated in Nutlin-3 insensitive cell lines and matching the disease category âCausal Lung Neoplasmsâ. This list is used for the promoter analysis. (XLSX 61Â kb
Cluster analysis for 94 strains of <i>Brucella abortus</i> based on the MLVA-16 dataset.
In the columns, the following data for strains are indicated: Key, serial number for the strain in the MLVA bank; GT, genotype MLVA16 in this study; MLVA-8 and MLVA-11, genotype numbers associated with the genotypes corresponding to each strain in the database; region, geographic region (NKR, North Kazakhstan Region; EKR, East Kazakhstan Region; WKR, West Kazakhstan Region); host, animal host; year, year of isolation.</p
Minimum spanning tree for 94 local isolates of <i>Brucella abortus</i> using MLVA-15 data from 769 profiles of <i>B</i>. <i>abortus</i>.
Minimum spanning tree for 94 local isolates of Brucella abortus using MLVA-15 data from 769 profiles of B. abortus.</p
Table_1_Genetic Diversity of Brucella melitensis in Kazakhstan in Relation to World-Wide Diversity.xlsx
We describe the genetic diversity of 1327 Brucella strains from human patients in Kazakhstan using multiple-locus variable-number tandem repeat (VNTR) analysis (MLVA). All strains were assigned to the Brucella melitensis East Mediterranean group and clustered into 16 MLVA11 genotypes, nine of which are reported for the first time. MLVA11 genotype 116 predominates (86.8%) and is present all over Kazakhstan indicating existence and temporary preservation of a “founder effect” among B. melitensis strains circulating in Central Eurasia. The diversity pattern observed in humans is highly similar to the pattern previously reported in animals. The diversity observed by MLVA suggested that the epidemiological status of brucellosis in Kazakhstan is the result of the introduction of a few lineages, which have subsequently diversified at the most unstable tandem repeat loci. This investigation will allow to select the most relevant strains for testing these hypotheses via whole genome sequencing and to subsequently adjust the genotyping scheme to the Kazakhstan epidemiological situation.</p
Additional file 8: Table S7. of Computational master-regulator search reveals mTOR and PI3K pathways responsible for low sensitivity of NCI-H292 and A427 lung cancer cell lines to cytotoxic action of p53 activator Nutlin-3
Results of correlation analysis of gene expression in 52 cancer cell lines and their sensitivity (IC50) value towards Mdm2 inhibitor AMGMDS3. We found 168 genes positively correlated with IC50 (insensitivity to the Mdm2 inhibitor) and 227 genes negatively correlated (p-value <â0.01). (XLSX 2438Â kb
Additional file 5: Table S4. of Computational master-regulator search reveals mTOR and PI3K pathways responsible for low sensitivity of NCI-H292 and A427 lung cancer cell lines to cytotoxic action of p53 activator Nutlin-3
Results of mapping of upregulated genes on the HumanPSDÂŽ disease ontology for all three conditions of Nutlin-3 treatment. The results contain the number of matched genes with the respective disease the calculated p-value and adjusted p-value of such match. (XLSX 78Â kb
Allelic types and HGDI of <i>B</i>. <i>abortus</i> strains for 16 loci in this study.
Allelic types and HGDI of B. abortus strains for 16 loci in this study.</p
Additional file 9: Table S8. of Computational master-regulator search reveals mTOR and PI3K pathways responsible for low sensitivity of NCI-H292 and A427 lung cancer cell lines to cytotoxic action of p53 activator Nutlin-3
Pathway analysis of the gene expression correlations using GSEA method and TRANSPATH pathway ontology. (XLSX 103Â kb
Incidence of human brucellosis.
Time in years is on the x-axis, incidence per 100,000 population is on the y-axis.</p
sj-xlsx-1-tam-10.1177_17588359221083050 – Supplemental material for Platinum-based chemotherapy for pancreatic cancer: impact of mutations in the homologous recombination repair and Fanconi anemia genes
Supplemental material, sj-xlsx-1-tam-10.1177_17588359221083050 for Platinum-based chemotherapy for pancreatic cancer: impact of mutations in the homologous recombination repair and Fanconi anemia genes by Marina Emelyanova, Elena Pudova, Darya Khomich, George Krasnov, Anna Popova, Ivan Abramov, Vladimir Mikhailovich, Maxim Filipenko, Sofia Menshikova, Sergey Tjulandin and Ilya Pokataev in Therapeutic Advances in Medical Oncology</p
