Results 251 to 260 of about 551,388 (334)

Using genotype imputation to integrate Canola populations for genome-wide association and genomic prediction of blackleg resistance. [PDF]

BMC Genomics
Zhao H, MacLeod IM, Keeble-Gagnere G, Barbulescu DM, Tibbits JF, Kaur S, Hayden M.   +6 more
europepmc   +1 more source

Blockade of ZMIZ1‐GATA4 Axis Regulation Restores Youthfulness to Aged Cartilage

Advanced Science, EarlyView.
The blockade of ZMIZ1‐GATA axis can be an effective therapeutic approach for treating OA. Functional inhibition of the ZMIZ1‐GATA axis through K‐7174 has the effect of suppressing cartilage damage and cellular senescence at the chondrocyte and cartilage tissue levels.
Jiho Nam, Hyunmin Woo, Jihye Yang, Seok Jung Kim, Kwang Pyo Lee, Ji Hoon Yu, Tae Joo Park, Seong‐il Eyun, Siyoung Yang   +8 more
wiley   +1 more source

MtCro: multi-task deep learning framework improves multi-trait genomic prediction of crops. [PDF]

Plant Methods
Chao D, Wang H, Wan F, Yan S, Fang W, Yang Y.   +5 more
europepmc   +1 more source

Genealogy Haplotypes in Genomic Prediction [PDF]

, 2012
Edriss, Vahid, Fernando, Rohan L, Su, Guosheng, Lund, Mogens Sandø, Guldbrandtsen, Bernt   +4 more
openaire   +1 more source

Deciphering the Transcription Factor Landscape in Prostate Cancer Progression: A Novel Approach to Understand NE Transdifferentiation

Advanced Science, EarlyView.
The study deciphers the landscapes of lineage‐related transcription factors in prostatic adenocarcinoma and neuroendocrine prostate cancer using an innovative approach. These findings, validated across cohorts, highlight TFs' roles in cell development and offer novel therapeutic targets.
Yu Wang, Hui Xue, Xiaohui Zhu, Dong Lin, Zheng Chen, Xin Dong, Junru Chen, Mingchen Shi, Yuchao Ni, Jonathan Cao, Rebecca Wu, Connie Kang, Xinyao Pang, Francesco Crea, Yen‐Yi Lin, Colin C. Collins, Martin E. Gleave, Abhijit Parolia, Arul Chinnaiyan, Christopher J. Ong, Yuzhuo Wang   +20 more
wiley   +1 more source

Comparison of genomic prediction accuracies in dairy cattle lactation traits using five classes of functional variants versus generic SNP. [PDF]

Genet Sel Evol
Alemu SW, Lopdell TJ, Trevarton AJ, Snell RG, Littlejohn MD, Garrick DJ.   +5 more
europepmc   +1 more source

CCL20/CXCL5 Drives Crosstalk Between Anaplastic Thyroid Cancer Stem Cells and Tumor‐Associated Macrophages to Promote Tumor Progression

Advanced Science, EarlyView.
This study elucidates the crosstalk between tumor‐associated macrophages (TAMs) and anaplastic thyroid cancer stem cells (ATCSCs). The findings reveal that CCL20 from THP‐1‐M2 activates the IRAK‐1/NF‐κB1/2 pathway in ATCSCs, thereby enhancing CXCL5 secretion.
Qi Liu, Yan Wang, Mingyuan Song, Jiapeng Huang, Jinyuan Shi, Wei Sun, Xiaoyu Ji, Yuang Chang, Bing Ma, Ping Zhang, Yuanyuan Yan, Hao Zhang   +11 more
wiley   +1 more source

Genomic Prediction and Genome-Wide Association Study for Growth-Related Traits in Taiwan Country Chicken. [PDF]

Animals (Basel)
Tu TC, Lin CJ, Liu MC, Hsu ZT, Chen CF.
europepmc   +1 more source

Spatiotemporal Transcriptomic Profiling Reveals the Dynamic Immunological Landscape of Alveolar Echinococcosis

Advanced Science, EarlyView.
An unprecedented high‐resolution spatial atlas of the E. multilocularis infection foci is obtained, revealing the dynamic functions of neutrophils, Spp1+ macrophages, and fibroblasts during disease progression. The transition of parasite control strategy from “active killing” to “negative segregation” by the host may provide instructive insights into ...
Zhihua Ou, Li Li, Peidi Ren, Ting‐Ting Zhou, Fan He, Jialing Chen, Huimin Cai, Xiumin Han, Yao‐Dong Wu, Jiandong Li, Xiu‐Rong Li, Qiming Tan, Wenhui Li, Qi Chen, Nian‐Zhang Zhang, Xiuju He, Wei‐Gang Chen, Yanping Zhao, Jiwen Sun, Qian Zhang, Yan‐Tao Wu, Yingan Liang, Jie You, Guohai Hu, Xue‐Qi Tian, Sha Liao, Bao‐Quan Fu, Ao Chen, Xue‐Peng Cai, Huanming Yang, Jian Wang, Xin Jin, Xun Xu, Wan‐Zhong Jia, Junhua Li, Hong‐Bin Yan   +35 more
wiley   +1 more source

Integrating multi-layered biological priors to improve genomic prediction accuracy in beef cattle. [PDF]

Biol Direct
Zhao Z, Niu Q, Wu J, Wu T, Xie X, Wang Z, Zhang L, Gao H, Gao X, Xu L, Zhu B, Li J.   +11 more
europepmc   +1 more source