Results 91 to 100 of about 491,374 (284)

Tumour–host interactions in Drosophila: mechanisms in the tumour micro‐ and macroenvironment

Molecular Oncology, EarlyView.
This review examines how tumour–host crosstalk takes place at multiple levels of biological organisation, from local cell competition and immune crosstalk to organism‐wide metabolic and physiological collapse. Here, we integrate findings from Drosophila melanogaster studies that reveal conserved mechanisms through which tumours hijack host systems to ...
José Teles‐Reis, Tor Erik Rusten
wiley   +1 more source

RaMBat: Accurate identification of medulloblastoma subtypes from diverse data sources with severe batch effects

Molecular Oncology, EarlyView.
To integrate multiple transcriptomics data with severe batch effects for identifying MB subtypes, we developed a novel and accurate computational method named RaMBat, which leveraged subtype‐specific gene expression ranking information instead of absolute gene expression levels to address batch effects of diverse data sources.
Mengtao Sun, Jieqiong Wang, Shibiao Wan
wiley   +1 more source

Metaproteomics for analysis of microbial function in the environment [PDF]

, 2007
This report briefly describes the approach of using proteomic analyses to examine protein expression directly from environmental samples (termed metaproteomics).
Bond, PL, Wexler, M
core  

Could Upregulated Hsp70 Protein Compensate for the Hsp90-Silence-Induced Cell Death in Glioma Cells? [PDF]

, 2014
The molecular chaperone heat shock protein 90 alpha (Hsp90α) has been recognized in various tumours including glioma. This pilot study using a proteomic approach analyses the downstream effects of Hsp90 inhibition using 17-allylamino-17 ...
Khan, Zarine Jamsher, Munje, Chinmay, Shervington, Amal A, Shervington, Leroy Alexander   +3 more
core   +2 more sources

Identification of serum protein biomarkers for pre‐cancerous lesions associated with pancreatic ductal adenocarcinoma

Molecular Oncology, EarlyView.
This work identified serum proteins associated with pancreatic epithelial neoplasms (PanINs) and early‐stage PDAC. Proteomics screens assessed genetically engineered mice with abundant PanINs, KPC mice (Lox‐STOP‐Lox‐KrasG12D/+ Lox‐STOP‐Lox‐Trp53R172H/+ Pdx1‐Cre) before PDAC development and also early‐stage PDAC patients (n = 31), compared to benign ...
Hannah Mearns, Jaclyn S. Long, Sergio Lilla, Kelly Hodge, Marcus J. G. W. Ladds, Colin Nixon, Paula Fernández‐Palanca, Sara Zanivan, Pilar Acedo, Stephen P. Pereira, Kevin M. Ryan   +10 more
wiley   +1 more source

Deletion of heat shock protein 60 in adult mouse cardiomyocytes perturbs mitochondrial protein homeostasis and causes heart failure. [PDF]

, 2020
To maintain healthy mitochondrial enzyme content and function, mitochondria possess a complex protein quality control system, which is composed of different endogenous sets of chaperones and proteases.
Chen, Ju, Duan, Yaoyun, Fan, Feifei, Fang, Xi, Huang, Lei, Jia, Nan, Li, Yali, Liu, Jie, Ouyang, Kunfu, Tang, Huayuan, Trexler, Christa, Wang, Gang, Wang, Hong, Yang, Feili   +13 more
core  

Genetic attenuation of ALDH1A1 increases metastatic potential and aggressiveness in colorectal cancer

Molecular Oncology, EarlyView.
Aldehyde dehydrogenase 1A1 (ALDH1A1) is a cancer stem cell marker in several malignancies. We established a novel epithelial cell line from rectal adenocarcinoma with unique overexpression of this enzyme. Genetic attenuation of ALDH1A1 led to increased invasive capacity and metastatic potential, the inhibition of proliferation activity, and ultimately ...
Martina Poturnajova, Zuzana Kozovska, Ondrej Pos, Kristina Pavlov, Sachin Gulati, Peter Makovicky, Kristina Jakic, Monika Burikova, Eva Sedlackova, Barbora Svitkova, Silvia Tyciakova, Vojtech Bystry, Nicolas Blavet, Boris Tichy, Matej Hrnciar, Jaroslav Budis, Miroslav Tomas, Peter Dubovan, Georgina Kolnikova, Veronika Repaska, Nikoleta Mojzesova, Eva Zomborska, Daniel Pindak, Michal Mego, Tomas Szemes, Miroslava Matuskova   +25 more
wiley   +1 more source

Power and limitations of electrophoretic separations in proteomics strategies [PDF]

, 2009
Proteomics can be defined as the large-scale analysis of proteins. Due to the complexity of biological systems, it is required to concatenate various separation techniques prior to mass spectrometry.
Aebersold, An, Andersen, Anderson, Anderson, Anderson, Anderson, Anderson, Appel, Artoni, Baczek, Baczek, Bell, Berggren, Bjellqvist, Bjellqvist, Bonner, Braun, Bravo, Bravo, Bravo, Bravo, Brown, Bunai, Bunger, Burre, Bury, Caglio, Caglio, Camacho-Carvajal, Cantin, Cargile, Cargile, Cargile, Castellanos-Serra, Cejka, Chen, Chevalier, Chevallet, Chiari, Chiari, Chick, Claverol, Cleveland, Cohen, Colinge, Corbett, Coughenour, Courchesne, Cox, Daban, Daban, Davis, Domon, Dukan, Duncan, Egen, Eng, Eravci, Essader, Fernandez-Patron, Figeys, Fritz, Garrels, Garrels, Gelfi, Gelfi, Giometti, Gordon, Gordon, Gorg, Gorg, Gorg, Groleau, Gronow, Han, Hardison, Hartinger, Heller, Henrich, Henzel, Hisabori, Hoffert, Hoffmann, Horowitz, Horth, Hunzinger, James, Johnson, Johnston, Jorgensen, Jovin, Jovin, Kasicka, Keller, Kobayashi, Krijgsveld, Krokhin, Kuroda, Kuster, Kyte, Laemmli, Lambert, Langen, Lasonder, Lengqvist, Liang, Link, Liu, Locke, Loo, Lopez, Lu, Lu, Lu, Luche, Lui, Luo, Luque-Garcia, Lyubimova, Macfarlane, Macfarlane, MacGillivray, Mackintosh, Malmstrom, Malone, Matsudaira, Mazzeo, Mets, Moritz, Nakamura, Navarre, Neuhoff, Nielsen, Novakova, O'Farrell, O'Farrell, Ogorzalek Loo, Orrick, Ortiz, Oses-Prieto, Pappin, Patton, Peng, Perkins, Petritis, Phelps, Rabilloud, Rabilloud, Rabilloud, Rabilloud, Radola, Radola, Rais, Reid, Reynolds, Richert, Rigaut, Righetti, Righetti, Righetti, Righetti, Righetti, Ros, Rosenfeld, Sanchez, Santoni, Schagger, Schagger, Scherl, Schirle, Schluesener, Schmitt, Sevinsky, Sevinsky, Shang, Shapiro, Shen, Shimura, Shimura, Siemankowski, SimoAlfonso, Simpson, Steinberg, Steinberg, Switzer, Szponarski, Szponarski, Tabb, Tan, Tarroux, Tastet, Towbin, Tsugita, Tuszynski, Unlu, van Oostveen, Vonguyen, Voris, Wang, Wang, Washburn, Weber, Wen, West, White, Wilkins, Williams, Wiltfang, Winkler, Wise, Witze, Xiao, Xie, Xie, Yamaguchi, Yamaguchi, Yata, Yates, Young, Yu, Yuan, Zahedi, Zewert, Zischka, Zuo   +225 more
core   +4 more sources

Network divergence analysis identifies adaptive gene modules and two orthogonal vulnerability axes in pancreatic cancer

Molecular Oncology, EarlyView.
Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson, Lyanne Delgado‐Coka, Natalia Marchenko, Luisa F. Escobar‐Hoyos, Kenneth R. Shroyer, Alisa Yurovsky, Trey Ideker, Gabor Balázsi, Thomas MacCarthy, Scott Powers   +9 more
wiley   +1 more source

COMP–PMEPA1 axis promotes epithelial‐to‐mesenchymal transition in breast cancer cells

Molecular Oncology, EarlyView.
This study reveals that cartilage oligomeric matrix protein (COMP) promotes epithelial‐to‐mesenchymal transition (EMT) in breast cancer. We identify PMEPA1 (protein TMEPAI) as a novel COMP‐binding partner that mediates EMT via binding to the TSP domains of COMP, establishing the COMP–PMEPA1 axis as a key EMT driver in breast cancer.
Konstantinos S. Papadakos, Gilar Gorji‐bahri, Lejla Gradjan, Julia Zajac, Kacper Gil, Yvonne Thokozile Nduku, Anna M. Blom   +6 more
wiley   +1 more source