Results 211 to 220 of about 47,201 (334)

WGCNA and Machine Learning-Based Integrative Bioinformatics Analysis for Identifying Key Genes of Colorectal Cancer

Md. Al Mehedi Hasan, Md. Maniruzzaman, Jungpil Shin   +2 more
openalex   +1 more source

Identification of important genes related to ferroptosis in early missed abortion based on WGCNA [PDF]

Yulu Zeng, Jayi Gan, Jin-Lian Cheng, Changqiang Wei, Xiangyun Zhu, Shisi Wei, Lihong Pang   +6 more
openalex   +1 more source

Elevational variation in heart mass and suppression of hypoxia‐induced right ventricle hypertrophy in Andean leaf‐eared mice (Phyllotis)

The Journal of Physiology, EarlyView.
Abstract figure legend In lowland mammals that ascend to high elevation, hypoxia‐induced changes in the pulmonary circulation can give rise to hypoxic pulmonary hypertension (HPH) and associated right‐ventricle (RV) hypertrophy. Andean mice with broad elevational ranges have greater heart mass relative to body size at higher elevations, but they ...
Naim M. Bautista, Nathanael D. Herrera, Marcial Quiroga‐Carmona, Chandrasekhar Natarajan, Adriana Rico‐Cernohorska, Jorge Salazar Bravo, Graham R. Scott, Guillermo D'Elía, Zachary A. Cheviron, Jay F. Storz   +9 more
wiley   +1 more source

Identification and Validation of DLD as a Cuproptosis-Associated Biomarker in Preeclampsia. [PDF]

FASEB J
DLD is identified as a preeclampsia‐associated cuproptosis hub gene by bioinformatics. DLD overexpression inhibits trophoblast proliferation, invasion, and migration, disrupts TCA cycle metabolism, and alters mitochondrial ultrastructure. These findings reveal that DLD may contribute to preeclampsia pathogenesis through cuproptosis.
Zheng S, Chen X, Tang W, Yang D, Han Q.
europepmc   +2 more sources

Identification of Crucial Drug Targets and Pathways to Reprogram Drug Resistance Through Epigenetic Modulation in Advanced Lung Cancer Using Integrated Bioinformatics Approach

Computational and Systems Oncology, Volume 6, Issue 1, December 2026.
ABSTRACT Resistance to chemotherapy, which is demonstrated in almost every patient with advanced‐stage lung cancer (ALC), underscores an urgent need to unravel the underlying molecular mechanisms and identify novel strategies to overcome drug resistance. In the present study, an attempt was made to identify epigenetic targets and modulators that can be
Okibur Rahman, Mossammat Rima Akter, Nur Alam   +2 more
wiley   +1 more source

Identification of Novel Gene Signature Predicting Lymph Node Metastasis in Papillary Thyroid Cancer via Bioinformatics Analysis and in vitro Validation

International Journal of General Medicine
Hai Li,1,2 Dongnan Sun,3 Kai Jin,4 Xudong Wang1 1Department of Maxillofacial and Otorhinolaryngological Oncology, Tianjin Medical University Cancer Institute and Hospital, Key Laboratory of Basic and Translational Medicine on Head & Neck Cancer, Key ...
Li H, Sun D, Jin K, Wang X
doaj  

TRIP13 identified by WGCNA as a progression-related and prognostic biomarker in ovarian cancer. [PDF]

Front Med (Lausanne)
Zhang H, Zhang M, Hu Y, He Y.
europepmc   +1 more source

Identifying Core Genes Related to Low-Temperature Stress Resistance in Quinoa Seedlings Based on WGCNA [PDF]

Lingyuan Zhang, Guofei Jiang, Xuqin Wang, Yutao Bai, Ping Zhang, Junna Liu, Li Li, Liubin Huang, Peng Qin   +8 more
openalex   +1 more source

Chronic Low‐Dose Unsymmetrical Dimethylhydrazine Exposure in Rats: Multiorgan Mechanisms and Biomarker Identification

Journal of Applied Toxicology, Volume 46, Issue 6, Page 1987-2002, June 2026.
ABSTRACT Unsymmetrical dimethylhydrazine (UDMH), a highly toxic rocket propellant with known multiorgan effects, requires urgent characterization of its chronic low‐dose toxicity. Using an integrated approach including exploratory transcriptomics (n = 3/group) and metabolomic (n = 4/group) approaches in male Sprague–Dawley rats exposed to high‐dose ...
Fuzhou Liu, Bing Liu, Keli Wang, Xiaoyu Wang, Zhen Sun, Xiaojuan Pan, Zengming Zhao   +6 more
wiley   +1 more source

Translating tumor epigenetic subtyping into methylome network-based prognostic models in early-stage NSCLC: results from the prospective MOBIT study. [PDF]

J Transl Med
Chwialkowska K, Niemira M, Zeller A, Ostrowska A, Michalska-Falkowska A, Reszec-Gielazyn J, Kozlowski M, Mroz R, Naumnik W, Sierko E, Gajdanowicz P, Niklinski J, Moniuszko M, Kretowski A, Kwasniewski M.   +14 more
europepmc   +1 more source