Results 151 to 160 of about 8,236,393 (357)

Confusion Matrix for Critical Genes, Hub Genes, and DiffEx Genes Using DisGeNET as the Gold Standard.

, 2023
Confusion Matrix for Critical Genes, Hub Genes, and DiffEx Genes Using DisGeNET as the Gold Standard.
Wenyuan Liao (6009893), Theodore Lun (17081588), Yang Yu (4292), Qing Li (84975), Pathum Kossinna (17081585), Qingrun Zhang (82414)   +5 more
core   +1 more source

Hyperosmotic stress‐induced redistribution of pre‐mRNA cleavage factor I subunits is associated with shifts in alternative polyadenylation

FEBS Open Bio, EarlyView.
Hyperosmotic stress triggers the relocation of the CFIm complex from the nucleus to the cytoplasm. This shift creates a nuclear ‘stoichiometric bottleneck’, limiting CFIm availability for mRNA processing. Consequently, specific mRNAs like NUDT21 and DICER1 undergo targeted 3′UTR shortening, demonstrating how spatial protein dynamics drive rapid ...
Hitomi Soumiya, Masatake Osawa, Hidefumi Fukumitsu   +2 more
wiley   +1 more source

Identification and validation of core genes as promising diagnostic signature in hepatocellular carcinoma based on integrated bioinformatics approach

Scientific Reports, 2022
The primary objective of this investigation was to determine the hub genes of hepatocellular carcinoma (HCC) through an in silico approach. In the current context of the increased incidence of liver cancers, this approach could be a useful prognostic ...
Pradeep Kumar, Amit Kumar Singh, Kavindra Nath Tiwari, Sunil Kumar Mishra, Vishnu D. Rajput, Tatiana Minkina, Simona Cavalu, Ovidiu Pop   +7 more
doaj   +1 more source

MagmaFlow: A desktop platform for artificial intelligence‐driven expression analysis

FEBS Open Bio, EarlyView.
MagmaFlow is a free, no‐code platform for gene expression analysis. It generates interactive volcano plots, links genes to literature, pathways, and diseases, prioritizes candidates using millions of publications, identifies affected biological processes, builds network diagrams, and exports publication‐ready figures and reports for macOS and Windows ...
Carlos E. Buss, Ao Li, Eduardo H. Gilglioni, Mayank Bansal, Sumeet Pal Singh, Latifa Bakiri, Alessandra K. Cardozo, Esteban N. Gurzov   +7 more
wiley   +1 more source

KEGG enrichment analysis for cancer hub genes.

, 2021
The x-axis is the gene ratio, which represents the percentage of all genes annotated to a pathway. Dot size is the number of genes annotated to a pathway. The color of each dot corresponds to the P-value of KEGG enrichment analysis.
Kui Chen (157443), Sihao Zhu (11636858), Xiao Ma (411875), Chunlong Zhong (3476660), Jiajun Qiu (4684921)   +4 more
core   +1 more source

A minimal cellulosome‐like system in Cellulosilyticum lentocellum

FEBS Open Bio, EarlyView.
Cellulose‐degrading bacteria typically use cellulosomes, large multi‐enzyme complexes on a scaffold protein. In Cellulosilyticum lentocellum, we characterise a far smaller arrangement, a single scaffold bound to one cellulase through a single cohesin‐dockerin interaction.
John Allan, Amias Alstrom‐Moore, Gary W Black   +2 more
wiley   +1 more source

Hub genes in the SOM clusters.

, 2016
Hub genes in the SOM clusters.
Chung-Il An (2346319), Neelima R. Sinha (188270), Nobuko Hagiwara (14488), Yasunori Ichihashi (682274), Jie Peng (188267)   +4 more
core   +1 more source

The top 140 hub genes.

, 2023
The top 20 hub genes in the networks of each selected module, ranked by the MCC method. (DOCX)
Ali Moghadam (3148116), Fatemeh Amiri (9714476), Ahmad Tahmasebi (561590), Ali Niazi (102877)   +3 more
core   +1 more source

Dactolisib outperforms Rapamycin in potentiating apoptosis induced by XPO1, Bcl‐2 and Mcl‐1 blockade in preclinical glioblastoma models

FEBS Open Bio, EarlyView.
The PAM pathway and its impact on cellular metabolism. Color‐coded key symbols represent Rapamycin (R, orange, targeting mTOR) and Dactolisib (D, green, targeting PI3K/mTOR), indicating their sites of action. Created with BioRenders.com. Glioblastoma resists therapy through interconnected survival programs.
Kai Zhao, Leonie Meyer, Madita Braun, Katharina Otte, Celine Bitter, Maite Pawlik, Hartmann Raifer, Frederik Helmprobst, Axel Pagenstecher, Hans Urban, Michael C. Burger, Michael W. Ronellenfitsch, Joachim P. Steinbach, Jarmila Jedelská, Shamim Bagheri, Behrooz H. Yousefi, Pietro Di Fazio, Markus Luster, Andreas H. Mahnken, Andreas Neubauer, Andreas Burchert, Christopher Nimsky, Jörg W. Bartsch, Tillmann Rusch   +23 more
wiley   +1 more source

Identification of CTSK as a TLR-related critical biomarker in liver cirrhosis via integrative bioinformatics and pathological characterization

Scientific Reports
Liver cirrhosis (LC) is a common chronic disease worldwide with a poor prognosis, and its pathogenesis has not been fully elucidated. Toll-like receptors (TLRs) are crucial in LC progression.
Jiaxin Wang, Ning Li, Xueyu Cang, Xuerong Liu, Ranyan Gao, Lingyi Xu, Fengchun Li, Xinyu Jiang, Hongliang Chen, Xinyu Geng, Jihan Qi, Ram Prasad Chaulagain, Junchong He, Shizhu Jin   +13 more
doaj   +1 more source