Results 81 to 90 of about 243,473 (347)

Identification of KIF18B as a Hub Candidate Gene in the Metastasis of Clear Cell Renal Cell Carcinoma by Weighted Gene Co-expression Network Analysis

Frontiers in Genetics, 2020
BackgroundClear cell renal cell carcinoma (ccRCC) is a common type of fatal malignancy in the urinary system. As the therapeutic strategies of ccRCC are severely limited at present, the prognosis of patients with metastatic carcinoma is usually not ...
Huiying Yang, Yukun Wang, Ziyi Zhang, Hua Li   +3 more
doaj   +1 more source

A Genome-wide gene-expression analysis and database in transgenic mice during development of amyloid or tau pathology [PDF]

, 2015
We provide microarray data comparing genome-wide differential expression and pathology throughout life in four lines of "amyloid" transgenic mice (mutant human APP, PSEN1, or APP/PSEN1) and "TAU" transgenic mice (mutant human MAPT gene).
Ali, SS, Cummings, DM, Desai, R, Edwards, FA, Fulleylove, M, Guelfi, S, Hardy, J, Latcham, J, Liu, W, Matarin, M, Moens, TG, NahabooSolim, MA, Paublete, RM, Perona, M, Richardson, JC, Salih, DA, Smith, KJ, Yasvoina, M   +17 more
core  

The newfound relationship between extrachromosomal DNAs and excised signal circles

FEBS Letters, EarlyView.
Extrachromosomal DNAs (ecDNAs) contribute to the progression of many human cancers. In addition, circular DNA by‐products of V(D)J recombination, excised signal circles (ESCs), have roles in cancer progression but have largely been overlooked. In this Review, we explore the roles of ecDNAs and ESCs in cancer development, and highlight why these ...
Dylan Casey, Zeqian Gao, Joan Boyes
wiley   +1 more source

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

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

Characterizing the salivary RNA landscape to identify potential diagnostic, prognostic, and follow‐up biomarkers for breast cancer

Molecular Oncology, EarlyView.
This study explores salivary RNA for breast cancer (BC) diagnosis, prognosis, and follow‐up. High‐throughput RNA sequencing identified distinct salivary RNA signatures, including novel transcripts, that differentiate BC from healthy controls, characterize histological and molecular subtypes, and indicate lymph node involvement.
Nicholas Rajan, Irina Primac, Emre Etlioglu, Laurens Debruyne, Ann Janssen, Magy Sallam, Kevin Tabury, Roel Quintens, Wiebren Tjalma, Mohammed Abderrafi Benotmane   +9 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

Weighted-Lasso for Structured Network Inference from Time Course Data [PDF]

, 2009
We present a weighted-Lasso method to infer the parameters of a first-order vector auto-regressive model that describes time course expression data generated by directed gene-to-gene regulation networks. These networks are assumed to own a prior internal
Ambroise, Christophe, Charbonnier, Camille, Chiquet, Julien   +2 more
core   +2 more sources

Overexpression of a Prefoldin β subunit gene reduces biomass recalcitrance in the bioenergy crop Populus. [PDF]

, 2020
Prefoldin (PFD) is a group II chaperonin that is ubiquitously present in the eukaryotic kingdom. Six subunits (PFD1-6) form a jellyfish-like heterohexameric PFD complex and function in protein folding and cytoskeleton organization.
Barry, Kerrie, Bryan, Anthony C, Chen, Jin-Gui, Collins, Cassandra M, Ding, Jinhua, Engle, Nancy L, Gunter, Lee E, Jawdy, Sara S, Li, Mi, Lindquist, Erika A, Muchero, Wellington, Pu, Yunqiao, Rottmann, William, Schmutz, Jeremy, Singan, Vasanth, Tschaplinski, Timothy J, Tuskan, Gerald A, Winkeler, Kimberly A, Xie, Meng, Yang, Xiaohan, Zhang, Jin   +20 more
core   +1 more source

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