Assuntos
Neoplasias Retroperitoneais , Teratoma , Adulto , Feminino , Humanos , Neoplasias Retroperitoneais/cirurgia , Neoplasias Retroperitoneais/patologia , Neoplasias Retroperitoneais/diagnóstico por imagem , Teratoma/cirurgia , Teratoma/diagnóstico por imagem , Teratoma/patologia , Tomografia Computadorizada por Raios XRESUMO
Though transcriptomics technologies evolve rapidly in the past decades, integrative analysis of mixed data between microarray and RNA-seq remains challenging due to the inherent variability difference between them. Here, Rank-In was proposed to correct the nonbiological effects across the two technologies, enabling freely blended data for consolidated analysis. Rank-In was rigorously validated via the public cell and tissue samples tested by both technologies. On the two reference samples of the SEQC project, Rank-In not only perfectly classified the 44 profiles but also achieved the best accuracy of 0.9 on predicting TaqMan-validated DEGs. More importantly, on 327 Glioblastoma (GBM) profiles and 248, 523 heterogeneous colon cancer profiles respectively, only Rank-In can successfully discriminate every single cancer profile from normal controls, while the others cannot. Further on different sizes of mixed seq-array GBM profiles, Rank-In can robustly reproduce a median range of DEG overlapping from 0.74 to 0.83 among top genes, whereas the others never exceed 0.72. Being the first effective method enabling mixed data of cross-technology analysis, Rank-In welcomes hybrid of array and seq profiles for integrative study on large/small, paired/unpaired and balanced/imbalanced samples, opening possibility to reduce sampling space of clinical cancer patients. Rank-In can be accessed at http://www.badd-cao.net/rank-in/index.html.
Assuntos
Algoritmos , Biologia Computacional/métodos , Perfilação da Expressão Gênica/métodos , Neoplasias/genética , Análise de Sequência com Séries de Oligonucleotídeos/métodos , RNA-Seq/métodos , Análise por Conglomerados , Neoplasias do Colo/diagnóstico , Neoplasias do Colo/genética , Diagnóstico Diferencial , Perfilação da Expressão Gênica/classificação , Glioblastoma/diagnóstico , Glioblastoma/genética , Humanos , Internet , Neoplasias/diagnóstico , Reprodutibilidade dos Testes , Sensibilidade e EspecificidadeRESUMO
The safe and effective delivery of anticancer drug molecules (e.g., doxorubicin [DOX]) into target sites is of great significance in cancer therapy. Recently, considerable attention has been devoted to non-covalently functionalized graphene as a potential anticancer delivery material. Herein, molecular dynamics simulations were performed to investigate the interaction mechanism between DOX and chitosan-decorated graphene with atomic details at the molecular level. The results demonstrated that the controllable loading and release of DOX by chitosan-decorated graphene may be achieved by adjusting the solution pH (the protonation state of chitosan) and the concentration of both DOX and chitosan molecules. In particular, the bare surface of graphene can be controlled by the aggregation and dispersion of chitosan, which further affects the adsorption and release of DOX molecules.
Assuntos
Quitosana/química , Doxorrubicina/administração & dosagem , Sistemas de Liberação de Medicamentos/métodos , Grafite/química , Simulação de Dinâmica Molecular , Adsorção , Antibióticos Antineoplásicos/administração & dosagem , Antibióticos Antineoplásicos/química , Antibióticos Antineoplásicos/farmacocinética , Doxorrubicina/química , Doxorrubicina/farmacocinética , Liberação Controlada de Fármacos , Humanos , Concentração de Íons de Hidrogênio , Interações Hidrofóbicas e HidrofílicasRESUMO
The cross-talk between skeletal muscle and adipose tissue has been identified to play a key role in the regulation of blood pressure and the development of hypertension. The role of different adipokines and myokines in hypertension and hypertension-related complications remains unclear. In the present study, 98 hypertensive patients and 24 normotensive controls were recruited, and additional subgroup analyses of hypertension-related complications were also performed. The levels of the circulating bone-derived factors leptin, apelin, fractalkine, brain-derived neurotrophic factor (BDNF), leukemia inhibitory factor (LIF), myostatin, fatty-acid-binding protein 3 (FABP3), irisin, follistatin-related protein 1 (FSTL1), oncostatin M, fibroblast growth factor 21 (FGF21) and musclin were measured by a protein liquid chip assay. The circulating levels of BDNF and musclin were decreased, whereas the leptin and irisin levels were increased, in hypertensive patients compared with those in the control individuals. Further logistic analysis indicated that the irisin level was positively correlated with SBP and an independent predictor for hypertension after adjustment. In nonobese subjects, the concentrations of DKK1, BDNF and FSTL1 were decreased, whereas the concentrations of leptin and irisin were increased. Irisin and DKK1 might be associated with hypertension. Additional subgroup analyses showed that irisin is significantly associated with hypertension-related stroke. In conclusion, we found that increased irisin levels are associated with hypertension and hypertension-related stroke. These findings indicate that irisin may be involved in the pathophysiology of hypertension.