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401por O’Farrell, N. J., Feighery, R., Picardo, S. L., Lynam-Lennon, N., Biniecka, M., McGarrigle, S. A., Phelan, J. J., MacCarthy, F., O’Toole, D., Fox, E. J., Ravi, N., Reynolds, J. V., O’Sullivan, J.“…Using ex-vivo Barrett’s metaplastic and matched normal patient tissue explants, higher levels of cytochrome c (p = 0.003), SMAC/Diablo (p = 0.008) and four inflammatory cytokines (all p values <0.05) were secreted from Barrett’s metaplastic tissue compared with matched normal squamous epithelium. …”
Publicado 2016
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402por Sung, Ya-Ju, Kao, Ting-Yu, Kuo, Cheng-Liang, Fan, Chi-Chen, Cheng, An Ning, Fang, Wei-Cheng, Chou, Han-Yu, Lo, Yu-Kang, Chen, Chung-Hsing, Jiang, Shih Sheng, Chang, I-Shou, Hsu, Chun-Hua, Lee, Jin-Ching, Lee, Alan Yueh-Luen“…Here we found that increased Lon interacts with p53 in mitochondrial matrix and restrains the apoptosis induced by p53 under oxidative stress by rescuing the loss of mitochondrial membrane potential (Δψm) and the release of cytochrome C and SMAC/Diablo. Increased chaperone Lon hampers the transcription-dependent apoptotic function of p53 by reducing the mRNA expression of p53 target genes. …”
Publicado 2018
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403por Liu, Jieying, Kim, So Youn, Shin, Sun, Jung, Seung-Hyun, Yim, Seon-Hee, Lee, Ji Youl, Lee, Sug-Hyung, Chung, Yeun-Jun“…After TFF3 silencing, the expression of the mitochondrial proapoptotic proteins, cytochrome C and Smac/DIABLO, was elevated, and these proteins were released from the mitochondria to the cytosol. …”
Publicado 2018
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404por Hong, Joo Young, Chung, Kyung-Sook, Shin, Ji-Sun, Lee, Jeong-Hun, Gil, Hyo-Sun, Lee, Hwi-Ho, Choi, Eunwoo, Choi, Jung-Hye, Hassan, Ahmed H.E., Lee, Yong Sup, Lee, Kyung-Tae“…The compound TMS-TMF-4f enhanced the activation of caspase-3, caspase-8, and caspase-9 and regulated Bcl-2 family proteins, which led to mitochondrial membrane potential (MMP) loss and resulted in the release of cytochrome c and Smac/DIABLO into the cytosol. Also, TMS-TMF-4f suppressed both constitutive and IL-6-inducible levels of phosphorylated STAT3 (p-STAT3) and associated proteins such as Mcl-1, cyclin D1, survivin, and c-Myc in both cervical cancer cells. …”
Publicado 2019
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405por Bhatt, Ravi R., Gupta, Arpana, Labus, Jennifer S., Liu, Cathy, Vora, Priten P., Jean Stains, Naliboff, Bruce D., Mayer, Emeran A.“…Data integration analysis using latent components (DIABLO) was applied to a training and test dataset to determine whether a limited number of sets of multiple correlated baseline’omics data types, including brain morphometry, anatomical connectivity, resting-state functional connectivity, and clinical features could accurately predict improver status. …”
Publicado 2021
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406por Lee, Bongyong, Mohamad, Iqbal, Pokhrel, Rudramani, Murad, Rabi, Yuan, Menglang, Stapleton, Stacie, Bettegowda, Chetan, Jallo, George, Eberhart, Charles G, Garrett, Timothy, Perera, Ranjan J“…Multivariate analysis method DIABLO (R package mixOmics) was used to integrate the molecular changes characterizing the CSF of MB patients. …”
Publicado 2022
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407por Adua, Eric, Afrifa-Yamoah, Ebenezer, Peprah-Yamoah, Emmanuel, Anto, Enoch Odame, Acheampong, Emmanuel, Awuah-Mensah, Kwaafo Akoto, Wang, Wei“…The multivariate integrative framework, DIABLO was employed for the statistical analysis. …”
Publicado 2022
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408por Dörflinger, Benedikt, Badr, Mohamed Tarek, Haimovici, Aladin, Fischer, Lena, Vier, Juliane, Metz, Arlena, Eisele, Bianca, Bronsert, Peter, Aumann, Konrad, Höppner, Jens, Waguia Kontchou, Collins, Parui, Ishita, Weber, Arnim, Kirschnek, Susanne, Häcker, Georg“…A signalling step was identified in the release of mitochondrial Smac/DIABLO, which was required for alternative NF-κB-activation and contributed to chemokine secretion. …”
Publicado 2022
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409por Fissolo, Nicolas, Calvo-Barreiro, Laura, Eixarch, Herena, Boschert, Ursula, Villar, Luisa M., Costa-Frossard, Lucienne, Ferrer, Mireia, Sanchez, Alex, Borràs, Eva, Sabidó, Eduard, Espejo, Carmen, Montalban, Xavier, Comabella, Manuel“…Two bioinformatics approaches to integrate the three obtained datasets were applied: (i) a multiomics discriminant analysis (DIABLO - Data Integration Analysis for Biomarker discovery using Latent variable approaches for Omics studies); and (ii) a multi-stage integration of features selected in differential expression analysis on each dataset and then merged. …”
Publicado 2023
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410por Admoni-Elisha, Lee, Nakdimon, Itay, Shteinfer, Anna, Prezma, Tal, Arif, Tasleem, Arbel, Nir, Melkov, Anna, Zelichov, Ori, Levi, Itai, Shoshan-Barmatz, Varda“…Expression levels of Bcl-2, VDAC1, MAVS, AIF and SMAC/Diablo were markedly increased in CLL-derived lymphocytes. …”
Publicado 2016
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411por Jin, Han, Goossens, Pieter, Juhasz, Peter, Eijgelaar, Wouter, Manca, Marco, Karel, Joël M. H., Smirnov, Evgueni, Sikkink, Cornelis J. J. M., Mees, Barend M. E., Waring, Olivia, van Kuijk, Kim, Fazzi, Gregorio E., Gijbels, Marion J. J., Kutmon, Martina, Evelo, Chris T. A., Hedin, Ulf, Daemen, Mat J. A. P., Sluimer, Judith C., Matic, Ljubica, Biessen, Erik A. L.“…Transcriptomic, proteomic, and peptidomic data of this plaque cohort were aggregated and analyzed by DIABLO, an integrative multivariate classification and feature selection method. …”
Publicado 2021
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412“…The stable isotope ratios of sulfur (δ(34)S relative to Vienna Cañon Diablo Troilite) in sulfates and sulfides determined by elemental analysis and isotope ratio mass spectrometry (EA/IRMS) have been proven to be a remarkable tool for studies of the (bio)geochemical sulfur cycles in modern and ancient environments. …”
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413por Lee, Chun-Teh, Li, Ruoxing, Zhu, Lisha, Tribble, Gena D., Zheng, W. Jim, Ferguson, Brittney, Maddipati, Krishna Rao, Angelov, Nikola, Van Dyke, Thomas E.“…Correlations between lipid mediator levels, receptor gene expression and bacterial abundance were analyzed using the Data Integration Analysis for Biomarker discovery using Latent cOmponents (DIABLO) and Sparse Partial Least Squares (SPLS) methods. …”
Publicado 2021
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414por Slieker, Roderick C., Donnelly, Louise A., Akalestou, Elina, Lopez-Noriega, Livia, Melhem, Rana, Güneş, Ayşim, Abou Azar, Frederic, Efanov, Alexander, Georgiadou, Eleni, Muniangi-Muhitu, Hermine, Sheikh, Mahsa, Giordano, Giuseppe N., Åkerlund, Mikael, Ahlqvist, Emma, Ali, Ashfaq, Banasik, Karina, Brunak, Søren, Barovic, Marko, Bouland, Gerard A., Burdet, Frédéric, Canouil, Mickaël, Dragan, Iulian, Elders, Petra J. M., Fernandez, Celine, Festa, Andreas, Fitipaldi, Hugo, Froguel, Phillippe, Gudmundsdottir, Valborg, Gudnason, Vilmundur, Gerl, Mathias J., van der Heijden, Amber A., Jennings, Lori L., Hansen, Michael K., Kim, Min, Leclerc, Isabelle, Klose, Christian, Kuznetsov, Dmitry, Mansour Aly, Dina, Mehl, Florence, Marek, Diana, Melander, Olle, Niknejad, Anne, Ottosson, Filip, Pavo, Imre, Duffin, Kevin, Syed, Samreen K., Shaw, Janice L., Cabrera, Over, Pullen, Timothy J., Simons, Kai, Solimena, Michele, Suvitaival, Tommi, Wretlind, Asger, Rossing, Peter, Lyssenko, Valeriya, Legido Quigley, Cristina, Groop, Leif, Thorens, Bernard, Franks, Paul W., Lim, Gareth E., Estall, Jennifer, Ibberson, Mark, Beulens, Joline W. J., ’t Hart, Leen M, Pearson, Ewan R., Rutter, Guy A.“…Of ~1,300 proteins examined in two cohorts, levels of GDF15/MIC-1, IL-18Ra, CRELD1, NogoR, FAS, and ENPP7 are associated with faster progression, whilst SMAC/DIABLO, SPOCK1 and HEMK2 predict lower progression rates. …”
Publicado 2023
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415por Martin-Hernandez, Roberto, Espeso-Gil, Sergio, Domingo, Clara, Latorre, Pablo, Hervas, Sergi, Hernandez Mora, Jose Ramon, Kotelnikova, Ekaterina“…A highly correlated multi-omics signature discriminating groups of samples was identified with the data integration analysis for biomarker discovery using latent components (DIABLO) method. Additional regulators of the identified signature were discovered using Clarivate CBDD (Computational Biology for Drug Discovery) network propagation and hidden nodes algorithms on a curated network of molecular interactions (MetaBase™). …”
Publicado 2023
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416“…Gold(III) porphyrin 1a displayed a growth inhibition and induction of apoptosis in neuroblastoma cells effectively in vitro, which was accompanied with release of cytochrome c and Smac/DIABLO and caspases activation. Further studies indicated that gold(III) porphyrin 1a inhibited X-linked inhibitor of apoptosis (XIAP). …”
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417por Razak, Nursyamirah Abd, Abu, Nadiah, Ho, Wan Yong, Zamberi, Nur Rizi, Tan, Sheau Wei, Alitheen, Noorjahan Banu, Long, Kamariah, Yeap, Swee Keong“…In gene expression assay, eupatorin up-regulated pro-apoptotic genes such as Bak1, HIF1A, Bax, Bad, cytochrome c and SMAC/Diablo and blocked the Phospho-Akt pathway. In conclusion, eupatorin is a potent candidate to induce apoptosis and concurrently inhibit the invasion, migration and angiogenesis of MDA-MB-231 and MCF-7 cells through inhibition of Phospho-Akt pathway and cell cycle blockade.…”
Publicado 2019
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418por Ben-Othman, Rym, Cai, Bing, Liu, Aaron C., Varankovich, Natallia, He, Daniel, Blimkie, Travis M., Lee, Amy H., Gill, Erin E., Novotny, Mark, Aevermann, Brian, Drissler, Sibyl, Shannon, Casey P., McCann, Sarah, Marty, Kim, Bjornson, Gordean, Edgar, Rachel D., Lin, David Tse Shen, Gladish, Nicole, Maclsaac, Julia, Amenyogbe, Nelly, Chan, Queenie, Llibre, Alba, Collin, Joyce, Landais, Elise, Le, Khoa, Reiss, Samantha M., Koff, Wayne C., Havenar-Daughton, Colin, Heran, Manraj, Sangha, Bippan, Walt, David, Krajden, Mel, Crotty, Shane, Sok, Devin, Briney, Bryan, Burton, Dennis R., Duffy, Darragh, Foster, Leonard J., Mohn, William W., Kobor, Michael S., Tebbutt, Scott J., Brinkman, Ryan R., Scheuermann, Richard H., Hancock, Robert E. W., Kollmann, Tobias R., Sadarangani, Manish“…Data integration was undertaken using different approaches—NetworkAnalyst and DIABLO. Our results demonstrate that such intensive sampling studies are feasible in healthy adults, and data integration tools exist to analyze the vast amount of data generated from a multi-omics systems biology approach. …”
Publicado 2020
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419por Lee, Bongyong, Mohamad, Iqbal, Pokhrel, Rudramani, Murad, Rabi, Yuan, Menglang, Stapleton, Stacie, Bettegowda, Chetan, Jallo, George, Eberhart, Charles G., Garrett, Timothy, Perera, Ranjan J.“…Differentially expressed transcripts, metabolites, and lipids were identified and their biological significance assessed by pathway analysis. The DIABLO multivariate analysis package (R package mixOmics) was used to integrate the molecular changes characterizing the CSF of MB patients. …”
Publicado 2022
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420“…The findings from the RPPA were validated by western blotting for representative signaling factors identified, including forkhead box M1 (FOXM1; proliferation factor), pRb (cell cycle regulator), and Smac/DIABLO (pro-apoptosis) among treatment conditions. …”
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