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Showing 6 of 6 academic articles

Sexual Dimorphism in Growth Rate and Gene Expression Throughout Immature Development in Wild Type Chrysomya rufifacies (Diptera: Calliphoridae) Macquart

Meaghan L. Pimsler, Meaghan L. Pimsler, Meaghan L. Pimsler, Carl E. Hjelmen et al. • Frontiers in Ecology and Evolution (2021)

Reliability of forensic entomology analyses to produce relevant information to a given case requires an understanding of the underlying arthropod population(s) of interest and the factors contributing to variability. Common traits for analy...

DOAJ Open Access (DOAJ) DOI: 10.3389/fevo.2021.696638

Multi-Cohort Transcriptomics Combined with Mendelian Randomization Identifies PPARGC1A, NAAA and GIPC2 as NLRP3 Inflammasome-Related Key Genes in Ulcerative Colitis

Cheng J, Huang Y • Journal of Inflammation Research (2026)

Jian Cheng, Yangfeng Huang Department of Traditional Chinese Medicine, Sichuan Provincial People’s Hospital, School of Medicine,University of Electronic Science and Technology of China, Chengdu, Sichuan, People’s Republic of ChinaCorrespond...

DOAJ Open Access (DOAJ)

High level non-carbapenemase carbapenem resistance by overlaying mutations of mexR, oprD, and ftsI in Pseudomonas aeruginosa

Yan Yang, Xue Li, Lang Sun, Xiu-Kun Wang et al. • Microbiology Spectrum (2025)

ABSTRACT Carbapenem-resistant Pseudomonas aeruginosa (CRPA) is a global threat, but the mechanism of non-carbapenemase carbapenem resistance is still unclear. In the current study, we investigated the contributions of point mutations in mex...

DOAJ Open Access (DOAJ) DOI: 10.1128/spectrum.01398-24

Molecular characterization and prognostic modeling associated with M2-like tumor-associated macrophages in breast cancer: revealing the immunosuppressive role of DLG3

Ziqiang Wang, Jing Zhang, Huili Chen, Xinyu Zhang et al. • Frontiers in Immunology (2025)

BackgroundM2-like tumor-associated macrophages (TAMs) promote an immunosuppressive microenvironment and contribute to tumor progression and metastasis. However, their molecular characterization and prognostic value have not been fully explo...

DOAJ Open Access (DOAJ) DOI: 10.3389/fimmu.2025.1650726

Using Network-Based Machine Learning to Predict Transcription Factors Involved in Drought Resistance

Chirag Gupta, Venkategowda Ramegowda, Supratim Basu, Andy Pereira • Frontiers in Genetics (2021)

Gene regulatory networks underpin stress response pathways in plants. However, parsing these networks to prioritize key genes underlying a particular trait is challenging. Here, we have built the Gene Regulation and Association Network (GRA...

DOAJ Open Access (DOAJ) DOI: 10.3389/fgene.2021.652189