Results 81 to 90 of about 245,963 (292)

Identification of Unique Transcriptomic Signatures and Hub Genes Through RNA Sequencing and Integrated WGCNA and PPI Network Analysis in Nonerosive Reflux Disease

Journal of Inflammation Research, 2021
Ye Zhao,1,* Teng Ma,2,* Duowu Zou1 1Department of Gastroenterology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, People’s Republic of China; 2Department of Thoracic Surgery, Zhongshan Hospital, Fudan ...
Zhao Y, Ma T, Zou D
doaj  

Backup machinery of yeast transcriptional regulatory network [PDF]

, 2008
Several studies have suggested the existence of backup machinery of transcriptional regulatory networks (TRNs). Here, we have quantified the backup machinery of yeast gene's TRNs under five different conditions in terms of alternate paths and have ...
Dhriti Sengupta, Sudip Kundu
core   +1 more source

Integrated genomics and proteomics define huntingtin CAG length-dependent networks in mice. [PDF]

, 2016
To gain insight into how mutant huntingtin (mHtt) CAG repeat length modifies Huntington's disease (HD) pathogenesis, we profiled mRNA in over 600 brain and peripheral tissue samples from HD knock-in mice with increasing CAG repeat lengths.
A Dobin, A Hodges, A Kuhn, A Pal, A Reiner, A Valencia, Andreas Tebbe, B Zhang, B Zhang, BM Bolstad, C Zuccato, CA Ross, Christoph Schaab, Daniel J Lavery, David Howland, DI Shirasaki, Doxa Chatzopoulou, DV Zaykin, EH Aylward, Eliana Marisa Ramos, ES Deneris, ES Lein, Fuying Gao, G Fishell, GA Smith, Giovanni Coppola, HT Orr, I Al-Ramahi, IS Seong, Ismael Al-Ramahi, J Cox, J Cox, J Labbadia, JA Miller, JC Jacobsen, JE Phillips, Jeffrey P Cantle, Jeffrey S Aaronson, JF Gusella, JF Gusella, Jim Rosinski, JM Dowen, JM Van Raamsdonk, JP Vonsattel, Juan Botas, K Becanovic, K Monahan, K Sharma, Karla El-Zein, LB Menalled, LB Menalled, LB Menalled, LS Kaltenbach, M Biagioli, M Heiman, M MACDONALD, M Mann, M Mielcarek, MA Pouladi, MC Oldham, MI Love, MK Lobo, MT Lin, N Wang, Nan Wang, P Giles, P Grange, P Langfelder, P Langfelder, P Langfelder, P Langfelder, P Langfelder, Peter Langfelder, PF Durrenberger, RC Gentleman, S Anders, S Horvath, S Toyoda, Sandeep Deverasetty, Seung Kwak, Steve Horvath, T Geiger, T Lu, WE Johnson, WV Chen, X Gu, X Gu, X William Yang, XH Lu, Xiao-Hong Lu, Y Benjamini, Y Guo, Y Shen, Y Wang, Yining Zhao   +94 more
core   +1 more source

Hippo pathway at the crossroads of stemness and therapeutic resistance in breast cancer

Molecular Oncology, EarlyView.
Dysregulation of the Hippo pathway drives nuclear accumulation of YAP/TAZ, activating stemness‐related transcriptional programs that sustain breast cancer stemness and fuel therapeutic resistance across subtypes, underscoring Hippo signaling as a targetable vulnerability. Figure created and edited with BioRender.com.
Giulia Schiavoni, Antonella Palmese, Stefano Scalera, Laura Cipriani, Davide Mascolo, Patrizia Vici, Teresa Arcuri, Lorena Filomeno, Eriseld Krasniqi, Giovanni Blandino, Giulia Bon, Marcello Maugeri‐Saccà   +11 more
wiley   +1 more source

Network and biosignature analysis for the integration of transcriptomic and metabolomic data to characterize leaf senescence process in sunflower [PDF]

, 2016
In recent years, high throughput technologies have led to an increase of datasets from omics disciplines allowing the understanding of the complex regulatory networks associated with biological processes.
Di Rienzo, Julio Alejandro, Fernández, Paula del Carmen, Heinz, Ruth Amelia, Higgins, Janet, Moschen, Sebastián Nicolás, Paniego, Norma Beatriz   +5 more
core   +5 more sources

Identification of Hub Genes With Differential Correlations in Sepsis

Frontiers in Genetics, 2022
As a multifaceted syndrome, sepsis leads to high risk of death worldwide. It is difficult to be intervened due to insufficient biomarkers and potential targets. The reason is that regulatory mechanisms during sepsis are poorly understood. In this study, expression profiles of sepsis from GSE134347 were integrated to construct gene interaction network ...
Lulu Sheng, Yiqing Tong, Yi Zhang, Qiming Feng   +3 more
openaire   +3 more sources

Adaptor protein CIN85 potentiates the motility of osteosarcoma cells via the Akt/mTOR and MMP2‐COL3A1 axis

Molecular Oncology, EarlyView.
CIN85 is highly expressed in osteosarcoma, particularly in metastatic lesions. Its overexpression increases cell migration and Matrigel invasion, while silencing CIN85 suppresses these behaviors. Transcriptome analysis shows that CIN85 regulates MMP2, COL3A1, and Akt/mTOR signaling. Targeting these pathways reverses CIN85‐induced motility, highlighting
Iryna Horak, Iva Staniczková Zambo, Matěj Přikryl, Peter Múdry, Danica Zapletalová, Jarmila Navrátilová, Jiří Navrátil, Jan Šmarda, Liudmyla Drobot, Petr Beneš, Lucia Knopfová   +10 more
wiley   +1 more source

Mechanisms of cellular senescence combined with molecular docking strategies: A biomarker study of potential therapeutic targets for allergic rhinitis.

PLoS ONE
ObjectiveBioinformatics and molecular docking methods were used to screen potential biomarkers of cellular senescence in allergic rhinitis (Allergic rhinitis AR), which provided a theoretical basis for revealing the mechanism of AR and exploring new ...
Qingyong Chen, Han Zhang, Yue Wu, Jixin Liu, Dongqing Wang, Dezhong Sun, Zhipeng Chen, Liqiang Lin, Huaiqing Lv, Qiang Shao   +9 more
doaj   +1 more source

Positively Correlated miRNA-miRNA Regulatory Networks in Mouse Frontal Cortex During Early Stages of Alcohol Dependence [PDF]

, 2013
Although the study of gene regulation via the action of specific microRNAs (miRNAs) has experienced a boom in recent years, the analysis of genome-wide interaction networks among miRNAs and respective targeted mRNAs has lagged behind.
Blednov, Yuri A., Gorini, Giorgio, Harris, R. Adon, Mayfield, R. Dayne, Nunez, Yury O., Ponomareva, Olga N., Truitt, Jay M.   +6 more
core   +2 more sources

Hub genes of stroke identified by weighted gene co-expression network analysis [PDF]

, 2019
Abstract Background Microarray-based gene expression profiling has been widely used in biomedical research. Weighted gene co-expression network analysis (WGCNA) can link microarray data directly to clinical traits and to identify rules for predicting pathological stage and prognosis of disease, it has been found useful in many biological ...
Junhong Li, Yang Zhai, Peng Wu, Yueqiang Hu, Wei Chen, Jinghui Zheng, Nong Tang   +6 more
openaire   +2 more sources