Results 211 to 220 of about 213,913 (289)

Genome‐wide and gene‐specific DNA methylation across developmental stages in Pogonomyrmex californicus: A socially polymorphic ant

Insect Molecular Biology, EarlyView.
Comparison between developmental stages (larvae, pupae, worker) in Pogonomyrmex californicus revealed significant stage‐specific differences in Gene Body Methylated frequencies. Methylation sites were highly correlated between WGBS and ONT in P. californicus Genome‐wide methylation was low (~3%) and highly clustered within gene bodies (GBM), especially
Tania Chavarria‐Pizarro, Mohammed Errbii, Janina Rinke, Lukas Schrader, Jürgen Gadau   +4 more
wiley   +1 more source

The MEOX1-PAX1 axis coordinately regulates tumor cell malignancy and Treg differentiation in glioblastoma. [PDF]

Sci Rep
Pan P, Wang R, Lv P, Wu Y, Qian C, Peng L.   +5 more
europepmc   +1 more source

Predicting Pressure Injury Prevention Education by Acute Care Nurses Within 24 h of Hospital Admission: A Cross‐Sectional Study

Journal of Advanced Nursing, EarlyView.
ABSTRACT Aim Predicting medical/surgical nurses' delivery of patient pressure injury prevention education within 24 h of hospitalisation. Design A cross‐sectional sub‐study drawn from a larger multisite randomised controlled trial. Methods A consecutive sub‐sample of 300 randomly assigned control group participants was recruited from 20 medical and ...
Jodie Lee Deakin, Sharon Leanne Latimer, Rachel M. Walker, Brett Dyer, Brigid Mary Gillespie   +4 more
wiley   +1 more source

Clinical significance of renal histological diagnosis in patients with type 2 diabetes and proteinuria atypical for diabetic nephropathy

Journal of Diabetes Investigation, EarlyView.
ABSTRACT Background/Aim Most patients with proteinuria are considered to have typical diabetic nephropathy (DN). However, when proteinuria occurs without diabetic retinopathy, with hematuria, or persists despite strict glycemic and blood pressure control, it is considered atypical for DN and warrants further evaluation for non‐DN via kidney biopsy ...
Shogo Kuwagata, Masami Chin‐Kanasaki, Aki Yamada, Tomonori Sakae, Nahomi Ishimoto, Yoshimi Imamura‐Uehara, Kosuke Yamahara, Mako Yasuda‐Yamahara, Sho Sugahara, Yuki Tanaka‐Sasaki, Natsumi Kuwata, Kimihiro Nishimura, Koichiro Murata, Itsuko Miyazawa, Shogo Ida, Natsuko Ohashi, Shinji Kume   +16 more
wiley   +1 more source

The dynamic myeloid-enriched microenvironment of glioblastoma: a major challenge to immunotherapy efficacy. [PDF]

Front Immunol
Lamorlette C, Boura C, Pinel S, Bensoussan D, Dotti G, Alanio C, Reppel L.   +6 more
europepmc   +1 more source

Use of Conventional Artificial Intelligence Methods in the Identification of Frailty: A Scoping Review

Journal of the American Geriatrics Society, EarlyView.
ABSTRACT Background Early identification and management of frailty are crucial, yet its detection in early stages remains difficult for clinicians. Artificial intelligence (AI) has emerged as a promising tool in healthcare. However, the absence of a standard frailty definition and diversity of AI methods create a need for a comprehensive review.
Kunal Ashok Dalsania, Alixe Ménard, Shruthi Sundararaman, Arya Rahgozar, Sarah de Lima, Xintong Lu, Aya Al‐Ali, Krishnpriya Singh, Ramtin Hakimjavadi, Hui Yan, Claire Sethuram, Howard Bergman, Jim LaPlante, Daniel McIsaac, Samira Abbasgholizadeh Rahimi, Nadia Sourial, Manpreet Thandi, Sabrina Wong, Clare Liddy, Karen Bandeen‐Roche, Sathya Karunananthan   +20 more
wiley   +1 more source

The renal response to FGF23 shifts from phosphaturia toward inflammation in kidney disease. [PDF]

J Cell Commun Signal
Moor MB, Burmakin M, Levin A, Korkut GG, Brodin D, Wernerson A, Bruchfeld A, Bárány P, Witasp A, Patrakka J, Olauson H.   +10 more
europepmc   +1 more source

Stem microanatomical phenomic uncovers a potential role for ZmLSM2 in regulating maize stem bending strength

Journal of Integrative Plant Biology, EarlyView.
Maize ZmLSM2 (U6 small nuclear ribonucleoprotein specific Sm‐like 2) controls maize stem strength by affecting vascular bundle structure. Using advanced computed tomography imaging and artificial intelligence identified key stem traits linked to lodging resistance and developed a predictive model.
Ying Zhang, Zejia Wang, Jianjun Du, Jiawen Li, Guanmin Huang, Yanxin Zhao, Yanru Wang, Qingmei Men, Minkun Guo, Minggang Zhang, Xianju Lu, Chuanyu Wang, Qikun Liu, Xinyu Guo, Chunjiang Zhao   +14 more
wiley   +1 more source