Results 211 to 220 of about 333,629 (311)

Genome-wide association study and genomic prediction of bolting trait in spinach (<i>Spinacia oleracea</i> L.). [PDF]

Front Plant Sci
Alkabkabi H, Chiwina K, Qu Y, Du R, Khanal R, Luo Q, Ullah MM, Xiong H, Rosas-Anderson P, Mou B, Shi A.   +10 more
europepmc   +1 more source

Genome‐Wide CRISPR Screen Identifies a microRNA Orchestrating Pleiotropic Resistance to Targeted Therapy and T Cell Immunity in Melanoma

Advanced Science, EarlyView.
A genome‐wide microRNA CRISPR screen identifies miR‐18a as a master regulator of cross‐resistance in melanoma. Loss of miR‐18a activates the AJUBA–YAP/Hippo axis to confer BRAFi resistance and enhances THBS1–CD47 interaction to impair CD8+ T cell immunity. hnRNP A1 is identified as an upstream regulator of miR‐18a processing.
Zhao Wang, Haotian Liu, Xueqi Wang, Jianjin Teng, Zihan Zheng, Jingya Zhang, Wanyi Xiao, Qian Liang, Jiaxin Li, Xiaomeng Jia, Xin Feng, Hongzhang Cui, Menghan Luo, Tielong Yang, Liuxing Wu, Ke Zhao, Weilong Yang, Mulin Jun Li, Dandan Huang, Jilong Yang   +19 more
wiley   +1 more source

Hybrid kernels integrating genomic and multispectral data improve wheat genomic prediction accuracy. [PDF]

Plant Genome
Montesinos-López OA, Martínez-Regalado JA, Murillo-Avalos CL, Herr AW, Montesinos-López A, Delgado-Enciso I, Cuevas J, Crossa J, Carter AH.   +8 more
europepmc   +1 more source

Functional Analysis of Ligand‐Gated Chloride Channels in a Cnidarian Sheds Light on the Evolution of Inhibitory Signaling

Advanced Science, EarlyView.
We uncover a large variety of putative inhibitory ligand‐gated ion channels (LGICs) in the phylum Cnidaria, the sister group to all bilaterian animals. Phylogenetic analysis suggests a complex evolutionary history of inhibitory LGICs with diverse neurotransmitter ligands.
Abhilasha Ojha, Linda Kloss, Juan D. Montenegro, Simone Albani, Audrey Ortega‐Ramírez, Mihaela Raycheva, Sylvia Joussen, Sabrina Kaul, Michèle Bachmann, Lisa Huf, Günther Schmalzing, Alison G. Cole, Ulrich Technau, Stefan Gründer   +13 more
wiley   +1 more source

KineticGP: A computational framework for genomic prediction of leaf photosynthetic traits. [PDF]

Plant Commun
Xu R, Ferguson J, Hobby D, Rahimi-Majd M, Wendering P, Kromdijk J, Nikoloski Z.   +6 more
europepmc   +1 more source

Understanding and Overcoming Antibody‐Drug Conjugate Resistance: Biological Mechanisms and Emerging Analytical Frameworks in Breast Cancer

Advanced Science, EarlyView.
Antibody–drug conjugates (ADCs) transform breast cancer therapy, yet resistance limits their durability. Emerging evidence reveals that ADC failure is not solely tumor‐intrinsic but shaped by dynamic tumor–microenvironment interactions that alter drug delivery, processing, and response.
Minji Seo, Jangsoon Lee, Naoto T. Ueno
wiley   +1 more source

Ensemble-based genomic prediction for maize flowering time improves prediction accuracy and reveals novel insights into trait genetic variation. [PDF]

G3 (Bethesda)
Tomura S, Powell O, Wilkinson MJ, Cooper M.   +3 more
europepmc   +1 more source

Time‐Controlled Refrigerated Stem Cell Therapy Mitigates Scleroderma Fibrosis via Modulation of Mitochondrial Autophagy and Gut Metabolism

Advanced Science, EarlyView.
This study established an RT‐MSCs‐based therapeutic approach for scleroderma in mice. RT‐MSCs attenuated fibrosis by regulating mitochondrial autophagy and restored gut microbiota homeostasis. Metabolomic analyses confirmed recovery of key metabolites, and RT‐MSCs demonstrated favorable lesion targeting and safety profiles.
Xue Xia, Chenfei Kong, Xiaoming Zhao, Naixu Shi, Jinlan Jiang, Ping Li   +5 more
wiley   +1 more source

Comparative analysis of genomic prediction approaches for multiple time-resolved traits in maize. [PDF]

Theor Appl Genet
Hobby D, Lindner R, Mbebi AJ, Tong H, Nikoloski Z.   +4 more
europepmc   +1 more source

Genomic prediction based on deep learning using LSTM networks

This bachelor's thesis deals with the problem of genomic prediction using machine learning based prediction methods. The first part of the thesis deals with theoretical review with a narrower focus on genomic prediction and its application to plant data.
Komjaty, Daniel
core