Results 181 to 190 of about 63,382 (353)

Overlap between T2D interactome and T2D transcriptome.

, 2013
Compared to total interactome of 14,306 genes, the T2D interactome of 561 genes represent significantly greater number of genes differentially expressed at unadjusted p value threshold in microarray profiles, dubbed “T2D transcriptome” from now on ...
Malabika Datta (105075), Abhay Sharma (105087), Dinesh Jindel (105079), Saurabh Vig (105070), Sandeep Kumar Mathur (105085), Priyanka Jain (105065), Ashok Kumar Mathur (105083)   +6 more
core   +1 more source

Transcriptomic signatures reveal systemic adaptations and immune modulation in response to training and competitive racing in horses

Equine Veterinary Journal, EarlyView.
Abstract Background The molecular mechanisms underlying adaptation to physical exertion and racing stress in horses remain incompletely understood. Peripheral blood transcriptomics offers a minimally invasive method to monitor systemic responses to exercise and identify biomarkers of adaptation or overload. Objectives To evaluate transcriptomic changes
Izabela Dąbrowska, Jowita Grzędzicka‐Agko, Paula Kiełbik, Michał Trela, Olga Witkowska‐Piłaszewicz   +4 more
wiley   +1 more source

Integrative Bioinformatic Approach for microRNA Interactome Networks in Human Papillomavirus-16 Infection

Eurasian Journal of Medicine
Objective: High-risk human papillomavirus (HPV), particularly HPV-16, is a major driver of carcinogenesis. Despite advances in understanding HPV-mediated oncogenesis, the role of microRNA (miRNA) interactome networks in HPV-16-driven tumorigenesis ...
Berkcan Doğan
doaj   +1 more source

Worm genes +1 interactome.

, 2014
The +1 interaction network for the human orthologues of the 60 worm genes that were highlighted in our worm RNAi screen. For the 60 worm-screen genes with human orthologues, there were 3191 interactions in the +1 interactome.
David B. Sattelle (347392), Eleonora Khabirova (606847), Aileen Moloney (606848), Julie Williams (110407), Stefan J. Marciniak (606849), Stephen G. Oliver (49072), Giorgio Favrin (68358), Damian C. Crowther (77216), David A. Lomas (77217)   +8 more
core   +1 more source

Substrate Characterization of Mycobacterial Kinase PknG Revealing PknG‐KARS‐MAPK Phosphorylation Signaling Axis in Host

iMetaMed, EarlyView.
This study employed multi‐omics approaches to investigate the regulatory mechanism of Mycobacterium PknG on host cell processes. We found that host lysine‐tRNA ligase (KARS) is a potential substrate of PknG; and PknG can regulate the immune response by catalyzing the phosphorylation of KARS at T592 and T595 sites, affecting the phosphorylation level in
Nana Tian, Shuyu Xie, Yanqing Tang, Junjie Liang, Wenhan Zhu, Tianqi Liu, Yewen Sun, Yang Yang, Luoxi Zhang, Danfeng Wang, Chuyao Lin, Jinyu Jia, Minjia Tan, Jun‐Yu Xu   +13 more
wiley   +1 more source

Proteomic Perspectives on KRAS-Driven Cancers and Emerging Therapeutic Approaches

Current Oncology
KRAS mutations are implicated in approximately 23% of all human malignancies, with particularly high prevalence in pancreatic ductal adenocarcinoma (PDAC) (~92%), colorectal cancer (CRC) (~49%), and non-small cell lung cancer (NSCLC) (~35%).
Ramesh Karki, Ru Chen, Sheng Pan
doaj   +1 more source

HER2-positive tumor interactome.

, 2013
HER2 tumor interactome network developed using cytoscape and functional reactome of 1055 genes obtained from integration analyses of genomic features. Different functional modules within the network are color coded.
Zhifu Sun (60356), Derek C. Radisky (119628), David Rossell (479046), Jennifer M. Carr (224872), Krishna R. Kalari (228899), Brian M. Necela (224867), Jeanette E. Eckel-Passow (228909), S. Keith Anderson (271824), High-seng Chai (479044), Stephan Camille (479045), Poulami Barman (479041), Richard W. Joseph (479042), Sarah A. McLaughlin (479043), Kevin J. Thompson (479037), E. Aubrey Thompson (224877), Tiffany R. Baker (228915), Edith A. Perez (228921), Xiaojia Tang (53518), Saurabh Baheti (479040), Jennifer M. Kachergus (479039), Melissa Lau (479038), Yan W. Asmann (210163)   +21 more
core   +1 more source

Progress of metabolomics‐centric multi‐omics research in medicine

iMetaOmics, EarlyView.
The graphical abstract illustrates a holistic roadmap for metabolomics‐centric multi‐omics integration in medical research. The upper panel depicts the technological transition from traditional bulk analysis to high‐resolution single‐cell and spatial methodologies, specifically addressing inherent challenges such as molecular complexity and dynamic ...
Ziyi Wang, Shiwen Deng, Xiaoxu Wang, Xiao Chang, Na Guo, Peng Chen, Hongjun Yang   +6 more
wiley   +1 more source

Comprehensive spatial profiling reveals transitional microbiome dynamics and microbial heterogeneity in pediatric adenoid hypertrophy

iMetaOmics, EarlyView.
This study characterizes the upper respiratory microbiome in 276 children (101 Adenoid hypertrophy (AH) 119 Adenotonsillar hypertrophy (ATH), 11 Tonsil hypertrophy (TH), and 45 healthy controls by analyzing 1149 samples across five distinct niches: nasopharyngeal swabs (NS), adenoid swab (AS), and tonsil swabs (TS), plus adenoid tissues (AT) and tonsil
Kaining Chen, Xin Wan, Wenli Guo, Hongyan Yu, Yuantao Tong, Huiwen Ke, Junjie Fang, Xilian Luo, Di Che, Chao Hou, Xu Mei, Bingxue Hu, Yuehong Liu, Xiaoxiao Yu, Daoman Xiang, Wensi Chen, Yingjia Zeng, Yufen Xu, Jun Shen, Qiuxia Chen, Lei Pi, Lanyan Fu, Huazhong Zhou, Bingshao Liang, Meng Zhang, Yifan Dong, Yanqiu Chen, Wenhao Zhou, Xiaoqiong Gu   +28 more
wiley   +1 more source

Corrigendum: Adenoviromics: Mining the Human Adenovirus Species D Genome

Frontiers in Microbiology, 2018
Ashrafali M. Ismail, Ji Sun Lee, Jeong Yoon Lee, Jeong Yoon Lee, Gurdeep Singh, David W. Dyer, Donald Seto, James Chodosh, Jaya Rajaiya   +8 more
doaj   +1 more source