Results 121 to 130 of about 3,690,639 (348)
Adaptaquin is selectively toxic to glioma stem cells through disruption of iron and cholesterol metabolism
Molecular Oncology, EarlyView.Adaptaquin selectively kills glioma stem cells while sparing differentiated brain cells. Transcriptomic and proteomic analyses show Adaptaquin disrupts iron and cholesterol homeostasis, with iron chelation amplifying cytotoxicity via cholesterol depletion, mitochondrial dysfunction, and elevated reactive oxygen species.Adrien M. Vaquié, Davod R. Shah, Eliane E. S. Brechbühl, Michael McNicholas, Zhaoyang Xu, John H. Stockley, Laura Morcom, Diana Gold Diaz, Gemma C. Girdler, Rachel V. Seear, Gabriel Balmus, Rajiv R. Ratan, Harry Bulstrode, James A. Nathan, Manav Pathania, Kevin M. Brindle, David H. Rowitch +16 morewiley +1 more sourceGenome-wide linkage analysis of 972 bipolar pedigrees using single-nucleotide polymorphisms. [PDF]
, 2011 Because of the high costs associated with ascertainment of families, most linkage studies of Bipolar I disorder (BPI) have used relatively small samples. Moreover, the genetic information content reported in most studies has been less than 0.6.A Kong, A MacLean, A Serretti, AE Baum, AJ Jasinska, AL Price, BK Suarez, BL Browning, C-Y Liu, D Blackwood, D Grozeva, D Grozeva, D Koller, D Lambert, D Morris, D Sadovnick, D Zhang, DH Blackwood, DL Pauls, E Green, E Green, E S Gershon, EM Wijsman, EN Smith, ER Hauser, ET Cirulli, F J McMahon, F Mathieu, G J Lyon, G Kirov, GR Abecasis, H Coon, H Edenberg, HJ Edenberg, HM Ollila, I Jones, J A Badner, J B Potash, J Fan, J I Nurnberger, J Kelsoe, J Ross, JI Nurnberger, JM Ekholm, JPA Ioannidis, JR Kelsoe, JR O’Connell, KA Frazer, KR Merikangas, KY Liang, L Jones, LJ Adams, LJ Scott, M Ayub, M Gill, M Hamshere, MA Spence, MAR Ferreira, MB McQueen, MS McPeek, N Craddock, P Keck, P P Zandi, P Sklar, PP Zandi, R Remick, R Robinson, R Segurado, S Macgregor, S Purcell, SA Bacanu, T Foroud, T Venken, TC Matise, V L Willour, W Byerley, W McMahon, WH Berrettini, WTCC Consortium +78 morecore +3 more sourcesPatient‐specific pharmacogenomics demonstrates xCT as predictive therapeutic target in colon cancer with possible implications in tumor connectivity
Molecular Oncology, EarlyView.This study integrates transcriptomic profiling of matched tumor and healthy tissues from 32 colorectal cancer patients with functional validation in patient‐derived organoids, revealing dysregulated metabolic programs driven by overexpressed xCT (SLC7A11) and SLC3A2, identifying an oncogenic cystine/glutamate transporter signature linked to ...Marco Strecker, Keren Zohar, Martin Böttcher, Thomas Wartmann, Henry Freudenstein, Maximilian Doelling, Mihailo Andric, Wenjie Shi, Or Kakhlon, Katrin Hippe, Beatrix Jahnke, Dimitrios Mougiakakos, Franziska Baenke, Daniel Stange, Roland S. Croner, Michal Linial, Ulf D. Kahlert +16 morewiley +1 more sourceMVQTLCIM: composite interval mapping of multivariate traits in a hybrid F1 population of outbred species
BMC Bioinformatics, 2017 Background With the plummeting cost of the next-generation sequencing technologies, high-density genetic linkage maps could be constructed in a forest hybrid F1 population. However, based on such genetic maps, quantitative trait loci (QTL) mapping cannot Fenxiang Liu, Chunfa Tong, Shentong Tao, Jiyan Wu, Yuhua Chen, Dan Yao, Huogen Li, Jisen Shi +7 moredoaj +1 more sourcePredictors of response and rational combinations for the novel MCL‐1 inhibitor MIK665 in acute myeloid leukemia
Molecular Oncology, EarlyView.This study characterizes the responses of primary acute myeloid leukemia (AML) patient samples to the MCL‐1 inhibitor MIK665. The results revealed that monocytic differentiation is associated with MIK665 sensitivity. Conversely, elevated ABCB1 expression is a potential biomarker of resistance to the treatment, which can be overcome by the combination ...Joseph Saad, Rhiannon Newman, Elmira Khabusheva, Sofia Aakko, Eric Durand, Mahesh Tambe, Heikki Kuusanmäki, Alun Parsons, Juho J. Miettinen, Komal Kumar Javarappa, Ezgi June Olgac, Nemo Ikonen, Mika Kontro, Kimmo Porkka, Heiko Maacke, Janghee Woo, Ensar Halilovic, Caroline A. Heckman +17 morewiley +1 more sourceChromosomal-level assembly of the Asian Seabass genome using long sequence reads and multi-layered scaffolding [PDF]
, 2016 We report here the ~670 Mb genome assembly of the Asian seabass (Lates calcarifer), a tropical marine teleost. We used long-read sequencing augmented by transcriptomics, optical and genetic mapping along with shared synteny from closely related fish ...A Bairoch, A Christoffels, A Gurevich, A Kozomara, A McKenna, A Mitchell, A Morgulis, A Morgulis, A Pradhan, A Reiner, A Rodriguez-Mari, A Stamatakis, A Yates, AI Makunin, AJ Enright, AL Price, AL Price, Alan Christoffels, Aleksey Komissarov, Alexey Tupikin, Amy Hin Yan Tong, Andrey A. Yurchenko, AR Quinlan, B Langmead, B Star, C Berthelot, C Camacho, C Holt, C Wang, Chen-Shan Chin, CS Chin, D Brawand, D Ellinghaus, DA Benson, Darrell Green, DC Hardie, Dean R. Jerry, DH Alexander, Doreen Lau, DR Kelley, DRS-K, C. Jerry, E Casacuberta, E. TG Staristina, EW Myers, F Abascal, F Chen, F Yang, FC Jones, FJ Krsticevic, Fritz J. Sedlazeck, G Abrusan, G Benson, G Lin, G Marcais, G Parra, G Parra, G Tamazian, GH Yue, GH Yue, Gopikrishna Gopalapillai, Gregory W. Vurture, GS Slater, GT Valente, H Li, H Saiga, Heiner Kuhl, HH Kazazian Jr., I Braasch, Inna S. Kuznetsova, IS Kuznetsova, J Castresana, J Eid, J Huerta-Cepas, J Jurka, J Lin, James P. Drake, JG Ruby, JN Volff, JN Volff, Jolly M. Saju, Jonas Korlach, JS Chew, Junhui Jiang, K Howe, K Katoh, K Prufer, Kathiresan Purushothaman, KD Pruitt, KJ Hoff, KP Koepfli, KW Tzung, Lawrence S. Hon, László Orbán, M Blanchette, M Kanehisa, M Kasahara, M Kolmogorov, M Krzywinski, M Martin, M Schartl, M Tarailoâ-Graovac, M Tine, MA Larkin, Mario Jonas, Marsel Kabilov, Matthew Boitano, MB Stocks, MG Grabherr, Michael C. Schatz, MJ Chaisson, MR Friedlander, N Siegel, Natascha M. Thevasagayam, NM Thevasagayam, O Jaillon, O Otero, P Cingolani, P Ravi, P Schattner, P Shannon, P Xu, Paul M. Richardson, PE Warburton, Peter Van Heusden, R Kajitani, R Lorenz, R Luo, R Moore, R Pethiyagoda, R Poulter, R She, R Sreenivasan, Ramkumar Lachumanan, RD Ward, RD Ward, Richard Hall, RJ Roberts, S Chen, S Guindon, S Hoegg, S Hoegg, S Koren, S Vij, S Zhou, Sai Rama Sridatta Prakki, Sarah Mwangi, SF Altschul, Shubha Vij, Si Lok, Si Yan Ngoh, Siddharth Singh, Simon Moxon, SM Kielbasa, Sridhar Sivasubbu, Stanley Kimbung Mbandi, Stephen J. O'Brien, Stephen W. Turner, T Anantharaman, Tamás Dalmay, Tansyn H. Noble, TD Wu, TF DeLuca, TH O'Hare, TLO Davis, TS Anantharaman, Tyler Garvin, U Consortium, U Grimholt, V Douard, V Ravi, Vinaya Kumar Katneni, Vinod Scaria, Vladimir Trifonov, W Xue, WC Liew, Woei Chang Liew, WS Davidson, X Huang, X Zheng, XG Wang, XG Wang, Xueyan Shen, Y Guiguen, Y Han, Y Hashiguchi, Y Moriya, Y Sato, Y Sato, Y Sato, Z Lai, Ø Hammer +190 morecore +5 more sourcesAggressive prostate cancer is associated with pericyte dysfunction
Molecular Oncology, EarlyView.Tumor‐produced TGF‐β drives pericyte dysfunction in prostate cancer. This dysfunction is characterized by downregulation of some canonical pericyte markers (i.e., DES, CSPG4, and ACTA2) while maintaining the expression of others (i.e., PDGFRB, NOTCH3, and RGS5).Anabel Martinez‐Romero, Ane Martinez‐Larrinaga, Joaquim Grego‐Bessa, Saioa Garcia‐Longarte, Hielke van Splunder, Ianire Astobiza, Amaia Ercilla, Laura Bozal‐Basterra, Isabel Mendizabal, Pilar Villacampa, Arkaitz Carracedo, Mariona Graupera +11 morewiley +1 more source